Hey Everyone,

As always for the best reading experience read this article on a web browser. [You can always do this by clicking on the title].

To continue yesterday’s topic a bit, I noticed some odd moves in talent departures from OpenAI that amount to them losing out in the AI war for talent to Anthropic and Google.

A major Talent exodus is taking place at ChatGPT maker OpenAI. In the last 24 hours:

This is striking at the core-team of OpenAI:

• Cofounder John Schulman is heading to rival Anthropic

• Cofounder Greg Brockman is taking a sabbatical

• Product leader Peter Deng is also departing

Greg Brockman

I’m taking a sabbatical through end of year. First time to relax since co-founding OpenAI 9 years ago. The mission is far from complete; we still have a safe AGI to build. - Source.

John Schulman

I shared the following note with my OpenAI colleagues today: I've made the difficult decision to leave OpenAI. This choice stems from my desire to deepen my focus on AI alignment, and to start a new chapter of my career where I can return to hands-on technical work. I've decided to pursue this goal at Anthropic, where I believe I can gain new perspectives and do research alongside people deeply engaged with the topics I'm most interested in.

To be clear, I'm not leaving due to lack of support for alignment research at OpenAI. On the contrary, company leaders have been very committed to investing in this area. My decision is a personal one, based on how I want to focus my efforts in the next phase of my career.

I joined OpenAI almost 9 years ago as part of the founding team after grad school. It's the first and only company where I've ever worked, other than an internship. It's also been quite a lot of fun. I'm grateful to Sam and Greg for recruiting me back at the beginning, and Mira and Bob for putting a lot of faith in me, bringing great opportunities and helping me successfully navigate various challenges. I'm proud of what we've all achieved together at OpenAI; building an unusual and unprecedented company with a public benefit mission.

I am confident that OpenAI and the teams I was part of will continue to thrive without me. Post-training is in good hands and has a deep bench of amazing talent. I get too much credit for ChatGPT -- Barret has done an incredible job building the team into the incredibly competent operation it is now, with Liam, Luke, and others. I've been heartened to see the alignment team coming together with some promising projects.

With leadership from Mia, Boaz and others, I believe the team is in very capable hands. I'm incredibly grateful for the opportunity to participate in such an important part of history and I'm proud of what we've achieved together. I'll still be rooting for you all, even while working elsewhere. - Source.

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OpenAI has bled talent due to its internal schisms before, and those that aren’t with Sam Altman’s leadership style and focus have been shown the door, but this time it feels different. There are significant financial difficulties and a poor probability path to profitability this time. Google and Anthropic’s rivals have ‘caught up’ and OpenAI is no longer seen as some ‘generational company’ in spite of being far more revenue and product driven than its peers.

OpenAI’s Culture and Priority Shift

“The fundamental problem with Open AI is that it rapidly transformed from a premium AGI research company into a product company.” - Bindu Reddy.

Now that Microsoft has signaled OpenAI to be a direct competitor, things are about to change in the talent wars. This was signaled by Google’s $2.5 Billion deal for access to Character.AI’s models and executives recently.

That many of OpenAI’s best people are now working at Google would have been unthinkable even just two years ago. Anthropic’s more Enterprise customer focus and alignment priority just appeals more to deep learning researchers and the highest level machine learning engineers in Generative AI.

I’m not sure how Chinese AI startups, xAI, Cohere or Mistral and their peers compete in such a battle for the world’s best talent. While OpenAI pays well, their internal culture is full of drama and uncertainty due to their gambling on AGI. The snake-oil salesmanship of Sam Altman is also being criticized, hindering more than its helping OpenAI’s progress. He was a great CEO for the first few years of OpenAI when hype was good, but now as it enters a next phase of revenue generation, they badly need a better aligned professional CEO. But he is buddies with the Board so that’s unlikely to happen anytime soon. Talent can see the writing on the wall as their shares will get even more diluted. Google has significantly improved its competitiveness in the talent wars in 2024.

This is not the first time we’ve worried about an OpenAI exodus. There have been many waves, most notably nearly its entire superalignment team, which reduced its credibility as a serious research lab. At that time we didn’t know how massively wasteful financially OpenAI was. They likely literally couldn’t afford to do what they had promised in superalignment. They simply didn’t have the resources. Which each star Researcher that leaves OpenAI, a bit of the magic is gone. All that we are left with is a product called ChatGPT, and diminishing returns of a plethora of new products, and new features for those products.

Ilya Sutskever

2.5 months ago:

“After almost a decade, I have made the decision to leave OpenAI.  The company’s trajectory has been nothing short of miraculous, and I’m confident that OpenAI will build AGI that is both safe and beneficial under the leadership of Sam Altman, Greg Brockman, Mira Murati, etc… It was an honor and a privilege to have worked together, and I will miss everyone dearly.   So long, and thanks for everything. I am excited for what comes next — a project that is very personally meaningful to me about which I will share details in due time.” - Source.

Sam Altman’s strategy is clearly to have more junior employees who are like ‘little lieutenants’ he can groom, that you can pay less and who ask fewer serious questions. They do your bidding, and Microsoft’s, to build products - with the sole goal of revenue generation.

Sam Altman guided his PR/comms team to a ‘theatrical approach’ to public relations, and boy has it backfired. It’s painful to watch.

Peter Deng, a product manager who joined OpenAI last year after leading products at Meta, Uber, and Airtable, also exited some time ago, the company confirmed. On his LinkedIn two months ago he introduced OpenAI for Non-profits. Radio silence on his Twitter account.

But former OpenAI employees aren’t just joining Google, they are joining Anthropic, OpenAI’s main direct competitor and a spin-off from OpenAI itself a few years ago. It’s one thing for Ilya and Andrej to start their own companies, like we assumed they might. But John Schulman and more serious alignment focused people joining Anthropic is concerning if you are an OpenAI fan. OpenAI’s once insurmountable first-mover advantage has faded in 2024, badly.

How OpenAI has spent its supposed $13 Bn investment from Microsoft is unclear at best, and wasteful at worst. It’s been a glorified and bought research lab for Microsoft and some of that Copilot Era enthusiasm there is not meeting the requirements of Copilot customers. Google is badly outpacing Microsoft now in Generative AI products. Even as they plundered Inflection AI for talent. The talent wars is also hurting how American AI firms and startups can actually innovate. As Generative AI startups are already heading for the exits, failing, or consolidating - it’s a gigantic mess where revenue is not on the other side of the Generative AI rainbow 🌈.

Nobody can convince me Apple, Amazon or Microsoft are destined to be winners in Generative AI. OpenAI’s deal with Microsoft likely locked them into a death spiral and had Sam Altman been more experienced, he would have realized this. But I think he felt there was no other choice. As time would have it, Elon Musk was only to be among the first rival to be kicked out of the core team, the first of many.

Elon Musk’s New Attack on OpenAI

“Musk’s new lawsuit takes aim at OpenAI’s deal with Microsoft and the definition of artificial general intelligence.” - The Verge.

Read the Lawsuit

A new lawsuit has appeared in August, 2024. Elon Musk filed a federal lawsuit against Sam Altman alleging that the Tesla boss was “manipulated” into co-founding OpenAI.

Adn this is all super relevant to how OpenAI became what is it today. Musk — who co-founded OpenAI in 2015 — sued the company in February, accusing the ChatGPT maker of abandoning its original nonprofit mission by reserving some of its most advanced AI technology for private customers.

Musk claims he invested in OpenAI on the basis it would be a nonprofit, but that later, Altman and others, along with Microsoft, “established an opaque web of for-profit OpenAI affiliates, engaged in rampant self-dealing.” What I found most interesting about the lawsuit is what Elon Musk has to say about the AGI snake-oil narrative. “The perfidy and deceit is of Shakespearean proportions,” the suit adds.

Musk says OpenAI “flipped the script” after its technology approached Artificial General Intelligence (AGI), a type of technology that matches or surpasses human capabilities.

“OpenAI’s focus shifted from its advertised charitable purpose—to benefit the public and protect humanity—to a vehicle for Altman and his partners’ self-enrichment. This is most clearly evidenced in OpenAI’s partnership with Microsoft and the proliferation of an opaque web of for-profit OpenAI affiliates, recently valued at a whopping $100 billion,” the suit reads.

“This is a much more forceful lawsuit,” Musk’s lawyer, Marc Toberoff, said to The New York Times. The new suit argues that OpenAI broke federal racketeering laws in a conspiracy to defraud Musk and that its contract with Microsoft would revoke the tech giant’s rights to OpenAI’s technology once artificial general intelligence (AGI) had been achieved.

When Sam Altman is fighting other tycoons, these are battles and lawsuits he doesn’t need. This is not the time to push the gas on the “AGI” narrative. OpenAI’s PR/Comms team really have discredited “AI” to wide swaths of the general public, lowering trust in these systems significantly, even as students and young workers feel pressured into using these products.

Microsoft is worried about SearchGPT

Microsoft will force OpenAI to make SearchGPT a more minor product due to it using elements of Bing. Microsoft’s Bing already makes a fair amount of revenue in Search Ads.

Microsoft called OpenAI a “competitor” for the first time in an SEC filing recently. On one hand Microsoft wants SearchGPT to be the next cash-cow for them earning 75% of the profits, but on the other they are concerned that OpenAI is outcompeting them for shared spend of customers in the Copilot Era. This all makes both Microsoft and OpenAI look particularly bad.

There aren’t just conflicts of interest, but very poor revenue generating potential in these sort of a situations with conflicting incentives and legal headaches. It would be easier just to tank the startup and acquire what is left of it. A bit like Google refusing to fund Character AI (when they were expected to do so), then making an alternative “licensing” deal for its model. The unfortunate thing is how BigTech controls the future products and talent in the Generative AI space, will drastically limit its ability for real innovation in the space.

Then it’s not just a question of how OpenAI Survives, but about how Microsoft and OpenAI’s first mover advantage is fading fast. But Anthropic for all of its high moral ground, is mostly just funded by Amazon and Google, major Cloud rivals of Microsoft. So essentially all these people are in bed together, and it doesn’t matter which side of the bed they sleep or wake up on. The results are going to be the same at the end of the day.

OpenAI on the Brink of Bankruptcy

You don’t take a sabbatical and OpenAI’s most critical juncture if you are confident. OpenAI might need another round of funding to remain afloat. Greg Brockman quit for a few days when Sam Altman was fired, but now it seems he is quitting when OpenAI needs him the most.

The startup spends $7 billion on training its AI models and $1.5 billion on staffing. It has drastically overpaid talent compared to its revenue potential. OpenAI’s $80 Billion valuation is already unrealistic, but as they get more funding it will dilute shares to an unimaginable degree. Who would want to work there in such a financial situation? You’d have to be fairly young in your career or have a major stake.

If you are really on the brink of bankruptcy singing the AGI tune is probably not a great idea. But Sam Altman is not a professional CEO, he’s scattered across a host of Venture Capital projects, billionaire networks and spinning PR/Comms fairytales. Even Brockman likely realized this.

Greg Brockman has titles like President, Chairman and Cofounder of OpenAI on his LinkedIn. Why would he be taking a sabbatical now? He’s rich enough he can do whatever he wants, but it just signals to the world that OpenAI is a sinking ship. What does Greg know that we do not know yet? This means that the battle over who will own ChatGPT has likely already begun.

Mira Murati as the young Sheryl Sandberg of OpenAI’s last few months (or years) 🐞

The person you have to feel bad for in all of this is Mira Murati. She’s classy, capable and seems above reproach. With all the chaos of being an executive at OpenAI, Mira is the odd person out who has among the most challenging of jobs (and doesn’t give up).

But you cannot tame someone like Sam Altman. Sam is a misfit manipulator by personality type. Raised in St Louis, Missouri, Sam Altman was the Stanford dropout who had become the president of the massively successful Y Combinator startup incubator before he was 30.

He’s a venture capitalist at heart, able to project the most genuine concern around his favorite and GPT-4 inspired talking points.

“All through the summer of 2023, Altman was treated like a Beatle, stopping by DC as part of a world tour, meeting prime ministers and presidents around the globe. US Senator Kyrsten Sinema gushed: “I’ve never met anyone as smart as Sam… He’s an introvert and shy and humble… But… very good at forming relationships with people on the Hill and… can help folks in government understand AI.” Glowing portraits at the time painted the youthful Altman as sincere, talented, rich and interested in nothing more than fostering humanity.” - Source.

But how will he be remembered? What will be his legacy? Besides the person who imploded the maker of ChatGPT?

Leave a comment

Is OpenAI in a Death Spiral? 💀

Sorry Ilya, Andrej and sorry to you Mira, you all have your reasons. This talent exodus at OpenAI speaks of a terrible uncertainty at the startup. Of course the outcome has also been predicted by many of us analysts and AI watchers. The death spiral at OpenAI has begun.

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A startup isn’t just a product. It’s compromised by the team that gave it life.

Credit: Linus.

At least Ilya has SSI now. Whether you agree or disagree with me on my speculations here or my characterization of OpenAI, the company is already a shadow of what it once was. It barely matters how good GPT-5 or GPT-6 are in such a sad and brutal state of affairs. The AI startup is widely overvalued and it can’t end well, and everybody knows it.

Thanks for reading! 

Hey Everyone,

So if you are a software engineer or coding enthusiast you have come to the right place. I wanted to release the free list of Newsletters in software engineering since I didn’t see anything around on the internet on this.

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• These are windows to a great deal of knowledge for software engineers. These publications are a great place to learn about frameworks, knowledge but also getting ahead in your career if you work in Tech. Or if you want to work in Tech.

• Repost, share or retweet this article if you think it might be worthwhile for others to read these publications! (read the original here)

• This is a 4,000 word past so Gmail or your provider is likely to clip it.

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Software Engineering Newsletter

Software Engineering Newsletter

Discover Exceptional Content in Software Engineering, System Design, Coding, DSA, Interview Preparation, and Cutting-Edge Tech Trends! 🌐📚

By Naveen Chandrawanshi

59. The MLnotes Newsletter

By

Mehdi Allahyari

The MLnotes Newsletter

MLnotes delivers bite-sized content covering diverse aspects of AI and ML, from real-world applications to entrepreneurship and careers in AI. Together, we can foster knowledge sharing and alleviate information anxiety amidst the rapid advancements in AI!

By Mehdi Allahyari

60. Practical Engineering Management

By

Mirek Stanek

Practical Engineering Management

How to be an effective leader in the software engineering industry. Practical hints and stories to maximize the success of your team(s) and their influence on a company.

By Mirek Stanek

61. Data Engineering Weekly

By

Ananth Packkildurai

Data Engineering Weekly

The Weekly Data Engineering Newsletter

By Ananth Packkildurai

62. The Ontologist

By

The Ontologist

The Ontologist

Principles of Metadata Architecture, Graph Theory and AI

By Kurt Cagle

63. Level up as a Tech Lead

By

Anemari Fiser

Level up as a Tech Lead

A newsletter that covers the "lead" part from the Tech Lead role.

By Anemari Fiser

64. I Code It

By

Juntao Qiu

Visit JQ on LinkedIn.

I Code It

"I Code It" is a bi-weekly newsletter dedicated to helping developers write clean, maintainable code. Each issue includes tips and tricks for improving your coding skills and insights into the latest trends and best practices in software development.

By Juntao Qiu

65. The Software Engineering Times

By

The Software Engineering Times

The Software Engineering Times

A newsletters all about Software Engineering. Sign up if you want to level up, learn interview tips, grow in your career, learn emotive leadership, how to spot red flags, and learn from some of the best minds in technology.

By Ryan Murphy

66. Strange Loop Canon

By

Rohit Krishnan

Strange Loop Canon

“Any fool can know. The point is to understand.” ― Albert Einstein

By Rohit Krishnan

67. About Software Engineering Weekly

By

Nexus Insights

About Software Engineering Weekly

Weekly insights to stay up-to-date on the latest trend in software engineering. Covering both theory and Practical / Coding aspects for SWE in a digestible manner.

By Nexus Insights

68. Lessons in Engineering Leadership

By

Kelly Vaughn

Lessons in Engineering Leadership

A weekly newsletter about the highs, lows, and difficult lessons learned as an engineering leader at a tech startup.

By Kelly Vaughn

69. Michelle’s Substack

By

Michelle Morrison

Michelle’s Substack

Introducing my personal newsletter on design operations, working in tech, and all of the nice little things I've picked up along the way.

By Michelle Morrison

70. Crafting Tech Teams

By

Denis Čahuk

🔮 Crafting Tech Teams

Unlock the Untapped Potential of Your Engineering Team. Master yourself and rid yourself of limiting beliefs. Become the leader worthy of a high performing team. Learn how to build the right things at the right time with proven industry practices

By Denis Čahuk

71. Flocode: Engineering Insights

By

Flocode: Engineering Insights 🌊

(James O’Reilly)

Flocode: Engineering Insights 🌊

Flocode: Engineering Insights is your guide to the transformative power of Python for civil and structural engineers. Learn about practical coding applications and AI tools tailored for engineers. Subscribe free.

By James O'Reilly

72. Saiyan Growth Letter

By

Tiger Abrodi

Saiyan Growth Letter

Excel in your software engineering career and become a super saiyan with bite-sized actionable advice.

By Tiger Abrodi

73. The Impact Engineer

By

Carwan Rasoal

The Impact Engineer

Genvalues helping exceptional engineers join the Impact tech wave based on shared principles and values. The Nordic countries are becoming the hub for impact tech companies and Genvalues want to redirect the talent pool in that direction.

By Carwan Rasoal

74. Mostly Harmless Ideas

By

Alejandro Piad Morffis

Mostly Harmless Ideas

Opinions, essays, full-blown technical articles, and short comments on Computer Science research, practice, and education.

By Alejandro Piad Morffis

75. Society’s Backend

By

Logan Thorneloe

Society's Backend

Explorations of the engineering complexities behind the AI you use every day. Enjoyed by professionals, hobbyists, and enthusiasts.

By Logan Thorneloe

76. Abort Retry Fail

By

Bradford Morgan White

Abort Retry Fail

Abort Retry Fail is a publication about computing history.

By Bradford Morgan White

77. Wes Kao’s Newsletter

By

Wes Kao

Wes Kao's Newsletter

A weekly newsletter on how to be a sharper marketer, founder, and builder. Honest insights and tactical advice for operators in the arena. Written by an a16z-backed founder.

78. To Data & Beyond

By

Youssef Hosni

To Data & Beyond

Data Science, Machine Learning, AI, and what is beyond them

By Youssef Hosni

79. Tech.Sistence

By

Greg Rog

Tech•sistence

Sharing insights on technology: deep dives on AI, automation, as well as business-oriented content for founders and developers. Lessons learned from the bootstrapping journey in our various ventures.

By Greg Rog

80. The Sensible Manager

By

Mahesh Guruswamy

The Sensible Manager

The hard truth about what it takes to be a successful engineering manager. Geared towards both newer and mid-career managers.

By Mahesh Guruswamy

81. AI Research & Strategy

By

Delip Rao

AI Research & Strategy

An AI newsletter from Delip Rao that dives deep into the post-LLM era, with intermissions from the past.

By Delip Rao

82. Inside my Head

By

Linus Ekenstam

Inside My Head

Exploring the world of AI Technology, Design, and building digital products while navigating life as a dad.

By Linus Ekenstam

83. C_NENTRATE

By

Paul Armstrong

C_NCENTRATE

The emerging side of everything; technologies, territories, tools, strategies and ideas. If you need to know it, it's in C_NCENTRATE, every Sunday @ 7pm GMT. > Know More, Read Less.™

By Paul Armstrong

84. Machine Learning Pills

By

Machine Learning Pills

Machine Learning Pills

Weekly pill-sized articles on key Machine Learning concepts.

By David Andrés

85. Effective Software Leads

By

James Samuel

Effective Software Leads

The Effective Software Leads Newsletter is a monthly newsletter on software engineering and leadership.

By James Samuel

86. The Python Coding Stack

By

Stephen Gruppetta

The Python Coding Stack • by Stephen Gruppetta

I write the articles I wish I had when I was learning Python programming I learn through narratives, stories. And I communicate in the same way, with a friendly and relaxed tone, clear and accessible

87. databeats

By

Arpit Choudhury

databeats

databeats is the final destination for honest, accessible data content tailored for business leaders and growth practitioners. 🥁 🥁

By Arpit Choudhury

88. The Artificially Intelligence Enterprise

By

Mark Hinkle

The Artificially Intelligent Enterprise

A discussion of artificial intelligence for business users who want to improve their understanding of AI and take advantage of the artificial intelligence in their enterprises.

By Mark Hinkle

89. Matt Rickard

By

Matt Rickard

Matt Rickard

Thoughts on engineering, startups, and AI.

90. McGuinness on AI

By

Charles McGuinness

McGuinness on AI

Experiments, Analysis, Tricks, Samples, Kits, and just a touch of snark, focusing on AI (and other wizardry) in CRM Aplications

By Charles McGuinness

91. Model Myths & Marvels: Exploring the LLM Frontier

By

Dustin Miller

Model Myths & Marvels: Exploring the LLM Frontier

Unravel cutting-edge trends, boost your skills through thoughtful explorations, and dismantle prevalent myths.

By Dustin Miller

92. Data Storyteller

By

Maggie @DataStoryteller

Data Storyteller

Advice, tips, resources, project tutorials, and more to support your career in data analytics.

By Maggie @DataStoryteller

93. Path to Senior

By Ed

Path To Senior

Actionable Advice for Software Engineers and tech workers about Programming, Engineering, and Life

By Edward

94. The Educated Software Engineer

By

Oliver Jumpertz

The Educated Software Engineer

Being a modern software engineer is complex. But it doesn't need to be.

By Oliver Jumpertz

95. MLOps Newsletter

By

Bugra Akyildiz

MLOps Newsletter

Machine Learning Ops is a newsletter that gives you interesting developments, tid-bits around machine learning and deep learning in a (mostly) weekly basis.

By Bugra Akyildiz

96. Wild World of Work

By

Matt Beane

Wild World of Work

Investigating the wild world of work, learning, and intelligent technologies - through research and responsible thinking.

By Matt Beane

97. Techno Sapien

By

Mark Palmer

Techno Sapien

Where Technology Meets Humanity

By Mark Palmer

98. Gradient Flow

By

Ben Lorica 罗瑞卡

Gradient Flow

Put data, machine learning, and AI to work.

By Ben Lorica 罗瑞卡

99. Nimble UX

By

Maya Elise Joseph-Goteiner

Nimble UX

We're writing about how to flex traditional UX/R methods for 0-1 product development and close the Product Market Fit gap.

By Maya Elise Joseph-Goteiner

100. More than Moore

By

Dr. Ian Cutress

More Than Moore

The latest in semiconductors: silicon, AI, processors, market trends.

By Dr. Ian Cutress

101. The Engineering Organization

By

svs

The Engineering Organisation

Mental models, frameworks and war stories about Engineering Management to help you get better at the game.

By svs

102. Quantum Fighter

By

Quantum Fighter

Quantum Fighter

"Quantum Fighter" is your insightful guide into the world of quantum machine learning. It's not just about the latest news; here, you'll find book reviews, practical guides for aspiring quantum data scientists, and code, among other contents.

By Javier Mancilla

103. Quantum Pirates

By

Sergio Gago

Quantum Pirates

Quantum Computing curated news and information

By Sergio Gago

104. The Quantum Observer

By

The Observer

(identity not known)

The Quantum Observer

An insider's view of the coming revolution in quantum computing.

By The Observer

Hey Everyone,

So here at Machine Learning Times, we are going to be mixing it up a little. This Newsletter will be focusing primarily on Breaking News and how AI is developing at major companies like OpenAI, Google, Nvidia, Microsoft and others. We will also deal with startup AI news to some extent. We will typically publish at 7am or 7pm EST.

I cannot believe what I’m witnessing. Microsoft’s stock is up roughly 57% in 2023. This is partly due to their copilot subscriptions everywhere approach to Generative A.I. made possible by GPT-4.

However in 2024, a lot is going to change.

There’s been a lot of drama at OpenAI in the past. There is a lot of drama at OpenAI in the present. I’m not sure things turn out well for them in 2024. How do I even put this nicely?

Ilya appears to have been fired by Sam Altman, and the entire company is under what appears to be preliminary antitrust investigations.

The UK's competition watchdog is to look at whether Microsoft's high-value partnership with OpenAI could be considered as a merger. No kidding its a merger! Microsoft will even have a non-voting seat on the board! Microsoft funneling $13 Billion and Azure credits to OpenAI is way worse than Google acquiring Deepmind way back in 2014.

Competition regulators in the UK and US are examining Microsoft’s multibillion-dollar partnership with OpenAI, one of the tech industry’s most lucrative tie-ups. It’s not just in the UK, but in the US as well. And they need to hear all sides of the story and the disclosures of former employees.

OpenAI is perhaps the most controversial A.I. startup in history. The UK’s Competition and Markets Authority on Friday said it had begun an “information gathering process”, a necessary precursor to a formal investigation that is likely to begin next year. So while OpenAI are loyalty bonded by the tender offer to Sam Altman, many are sharing their experiences after they have moved on!

The company was established as a non-profit entity whose board controls a commercial unit, in which Microsoft is the biggest investor and let’s just say the Microsoft faction appears to have taken full control of the company and its board at this point in 2023. Those who opposed Sam Altman appear to have been forced out of the company and even the boardroom including two women.

Finally some rational investigation into this Silicon Valley heist. The CMA said the pace at which AI is scaling is “unrivalled in economic history,” and that advances in so-called foundation models, which describe general purpose AI tools such as ChatGPT, represent a “pivotal moment in the development of this transformative technology.”

Microsoft, which owns 49% of OpenAI, said it had "preserved independence" for both firms. What independence? Sam Altman is their boy, it’s so ridiculously corrupt. Greg Brockman sounds like a tool as well.

Last month, OpenAI, which is best known as the creator of ChatGPT, was plunged into chaos when its boss Sam Altman was suddenly fired. But he quickly regained control of the company with the help of Microsoft and other major investors.

The regulator said it will review whether Microsoft’s partnership with OpenAI has resulted in an acquisition of control – in other words, a situation where one company has material influence, de facto control, or more than 50% of the voting rights over another entity. It’s clear to most sane on-lookers and the behavior and conduct of this company that it has. It’s not even following its original mission!

Deadline to Comment Fast Approaching

The CMA on Friday said it had asked the two companies, as well as “any interested party” such as competitors and customers, whether “the partnership between Microsoft and OpenAI, including recent developments, has resulted in a relevant merger situation”. The deadline to comment is January 3.

Meanwhile details of Sam Altman’s misconduct is being leaked to the press. The Board had legitimate reason to fire him for various malpractices of leadership, including deception and trying to fire members of the board. It’s pretty serious. The multiple allegation of his style of leadership are fairly transparently depicted by former employees.

In fact the Board was pretty diplomatic in the messaging they used when they fired him. And now OpenAI and Microsoft’s reputation are being tarnished. Customers and even employees are beginning to look elsewhere. Talent might flee after the tender offer and cash out of this toxic company. The OpenAI board at the time said it “no longer has confidence” in Altman’s ability to continue leading OpenAI. Microsoft, which has an extensive partnership in place with OpenAI, subsequently hired Altman to lead a new advanced AI research team.

Within days of Altman’s firing, Nadella had also announced that Altman and OpenAI’s ousted chair, Greg Brockman, had been hired to lead a new artificial intelligence unit at Microsoft, an arrangement that never came to pass as Altman negotiated his return. What a scam that turns out to have been, which leads to rather nefarious conclusions.

There is a sense of total chaos at OpenAI, due to Sam Altman. The pressure to re-hire him as CEO was zealous and without real investigation. There is a major loss of trust, faith and transparency at this company moving forwards. OpenAI keeps deviating from its origins, ideology and supposed structure.

I don’t have a good feeling that his ends well for Microsoft or OpenAI in 2024 or 2025. If I was Microsoft, I’d be wary of putting too many eggs in one basket or for scaring off potential customers throwing Billions at a guy who has helped you raise Azure profits. Microsoft deserves an investigation over its Chinese ties due to National Security reasons.

GPT-5 and OpenAI won’t save humanity, in fact they may even profoundly harm it. Sam Altman is out of control, and Microsoft has enabled all of this.

What a gigantic fraud the maker of ChatGPT has been and with Billions of more funding likely on the horizon, this could become a major collapse of the Generative A.I. hype train, sooner rather than later. It’s also highly predictable like a Silicon Valley story we’ve seen too many times. There’s something really twisted about this story.

Welcome Back,

If you know me I’m a huge fan of international writers and publication Creators from smaller countries and off the beaten track geographies. Nat is one of the hidden gems of original deep dives on A.I.

A former Chess player from Georgia & a lover of robots (hence the ‘broken robot’ series of images in this post), her body of work speaks for itself. By the end of this article you will know what I’m talking about.

The AI Observer

The AI Observer: Your guide to the world of artificial intelligence

By Nat (author of this guest post)

Visit the AI Observer

By The AI Observer

She is a former lecturer, founder, translator and prolific author while having a strong communal streak. She is acting as a liaison between the Ministry of Regional Development, Infrastructure, and the local community. This article is going to be a tour-de-force on things you may not have fully considered but at this radically unique moment in human history, maybe you should.

First written in August, 2023.

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By Nat, August 2023.

Artificial intelligence has rapidly evolved from sci-fi fantasy to everyday reality. Once the stuff of robot movies and alien worlds, AI now quietly powers our smartphones, streaming services, social media, and more. This lightning-fast progress has been transformative - yet also raises serious ethical questions we must grapple with.

As AI becomes further intertwined with our civilization, how do we ensure it aligns with human values? What are the potential pitfalls if we develop AI without wisdom and foresight? From biases baked into algorithms to jobs lost to automation, the risks are real. But so too are the incredible benefits, if harnessed responsibly.

We stand at a crossroads for one of the most consequential technologies of our time. The future remains unwritten - will we authors an AI narrative that serves society, or succumbs to existential threats? Our choices today will determine the next chapter for generations to come.

In this piece, we'll explore the central ethical dilemmas posed by artificial intelligence. We'll examine the nuances, weigh difficulties and trade-offs, and uncover impacts on social fabric and individual lives. This journey illuminates how AI may shape our collective destiny, and the power we have to guide it down a path aligned with human values. The time is now to have these urgent conversations that will reverberate through the ages.

✨ TOP POSTS BY AI OBSERVER:

The author is known for her guides, deep dives and tutorials.

1. Automate Your Creativity: GPT-4's Game-Changing Headline and Tagline Generator (CODE included)

2. Building an AI Chatbot with GPT-4 on Windows 11: A Comprehensive Guide

3. Beyond Human Capabilities: Decoding the Chessboard with Artificial Intelligence

4. Friend or Foe: How AI is Reshaping Human Connections

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🧙‍♂️ Superintelligence and its potential dangers

The prospect of superintelligent AI conjures both awe and unease. This hypothetical AI would possess intellect far surpassing even the greatest human minds. It could systematically outthink the smartest researchers, unravel our thorniest scientific mysteries, and conceive of revolutionary inventions beyond our wildest dreams. The vision of an AI system with such unlimited potential is equal parts enthralling and disquieting. We stand amazed by what such an AI could accomplish. Yet we recoil at the notion of an intelligence exponentially more powerful than our own operating unchecked and without oversight. This stark dichotomy has fueled heated debate among experts about whether we can possibly control superintelligent AI once created - or if it poses an existential threat beyond our ability to contain. Some describe it as tantalizing but perilous power, like "playing with fire." As AI advances steadily forward, the possibility of superintelligence moves closer to reality. We must carefully consider how to harness its upside while safeguarding against catastrophic downside risks. The stakes could not be higher for humanity's future.

This existential risk is a massive concern for many AI researchers and thinkers. They worry that if we don't handle superintelligence with extreme caution, we might accidentally create something that threatens humanity's survival.

👀 Implications and future considerations

To be clear, superintelligent AI remains firmly in the realm of theory - we are still far from developing an AI system with such breathtaking cognitive abilities. But the rapid pace of AI progress suggests superintelligence may be less far-fetched than once believed. AI capabilities that long lived solely in the imagination now shape our everyday lives. With AI research accelerating on multiple fronts, advanced systems like deep learning achieving new milestones, and more investment pouring into the field, we inch closer to thresholds we can barely comprehend. Though not imminent, superintelligent AI looks less like science fiction with each new breakthrough. Its prospects force us to confront head-on whether we can control intelligences that may one day eclipse our own. We cannot afford to dismiss this as a distant hypothetical - the stakes are too high. The conversation must begin now.

Researchers and organizations are pushing for robust safety measures and ways to control superintelligence if and when it arrives. The notion of an adversarial AI turning against its creators may evoke sci-fi tropes. But we cannot dismiss the hazards of misaligned superintelligent AI as merely the stuff of movies. There are sobering reasons these catastrophic scenarios capture our imagination. Even if the odds seem low, the sheer scale of damage an uncontrolled superintelligence could wreak requires vigilant prevention. When building systems that may eventually far surpass human-level intelligence, we must proactively engineer them to align with human values and ethics. This entails solving monumental technical problems in value alignment and AI safety - failing to address these risks could have irreversible consequences. So while superintelligent AI is not imminent, its potentially existential downsides warrant the utmost research and preparation today. We have a duty to channel AI's immense capabilities to benefit humankind, not sow destruction. Time is of the essence to implement robust safeguards and prevent nightmarish scenarios from creeping closer to reality.

It's like trying to tame a dragon – we want the power but must also ensure it doesn't burn down the whole kingdom.

Nat is also a fan of robots.

🔐 Privacy and data protection concerns

Imagine if your sensitive personal data, like financial records or medical history, gets into the wrong hands due to a data breach in an AI system. Scary, right? That's why ensuring robust data protection measures is crucial.

We must also scrutinize how our personal data gets utilized behind the scenes. AI algorithms frequently mine our digital footprints - from web browsing histories to social media activity - to infer patterns and make personalized recommendations or ad targeting. This automated data harvesting can provide convenience and relevance. But it also tests the boundaries of consent, transparency and our right to privacy. When private companies covertly collect, analyze and monetize the details of our digital lives, we must ask - do the benefits outweigh the risks? Does it erode people's agency over their information? Could it enable manipulation or discrimination? Does it set dangerous precedents without adequate oversight? As data-hungry AI systems expand, we need robust regulations and ethicists at the table to ensure our data gets handled responsibly, not exploited through opaque algorithms operating unchecked in the shadows.

Balancing data usage with privacy rights and security concerns

This one is a tricky tightrope walk.

On the one hand, data is the fuel that drives AI's remarkable capabilities. The more data AI systems have, the better they can learn and make informed decisions. So, companies and researchers are always hungry for it to improve their AI models and provide us with personalized experiences.

This is where a central tension emerges - our data holds tremendous value, yet it is also deeply personal. We have fundamental rights to privacy and security of our information. But companies and researchers seek unfettered access to amass more data to feed ever-hungry AI systems. Their goals often conflict with people's agency over their digital footprint and right to control how their data gets utilized. This clash between widespread data collection and personal privacy protections is increasingly coming to a head. As AI algorithms grow more invasive and influential in our lives, we must determine where to draw the line and implement safeguards against misuse of our data. How do we balance individual rights with pursuit of technological progress? The choices we make today on data regulations will have far-reaching implications for the future of privacy.

So, it's like a tug-of-war, right? On one side, we want AI to be super smart and helpful, but on the other, we don't want our data to be mishandled or end up in the wrong hands.

We need robust data protection measures and ensure that our privacy rights are respected while allowing AI to access enough data to function effectively.

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The Evolution of Surveillance Capitalism

In today's digital landscape, personal data has transformed into a sought-after asset. Companies, especially those offering complimentary online services like Google's search functionalities and Facebook's networking platform, are at the forefront of this data-driven economy. They meticulously track our online footprints—be it our search preferences, social interactions, or shopping behaviors—to generate monetizable insights.

This phenomenon, termed 'surveillance capitalism' by academic Shoshana Zuboff in 2014, is deeply embedded in our global digital infrastructure. It's not just about advertising anymore; it's about leveraging vast amounts of "big data" for diverse revenue streams.

But as we delve deeper into this era, the ramifications become more profound and concerning:

Digital Health Footprints

The rise of health-centric apps, smart wearables, and online medical consultations has led to an influx of sensitive health and psychological data on the web. Such data, if misappropriated, can be used to exploit individuals' health conditions or even influence insurance decisions.

State-led Digital Watch

Many governments are tapping into the reservoirs of big data, sometimes justifying it as a measure for public safety or national interest. While some applications might be genuine, there's an ever-present danger of overstepping boundaries, compromising individual freedoms.

The Shadowy Data Trade

The value of personal data has given birth to a bustling market, both in the open and in the hidden corners of the internet. Data brokers, straddling the line between legitimate business and murky dealings, are trading in this new currency. The repercussions can range from identity theft to more sinister personal threats.

In essence, as our existence becomes more digitally intertwined, the balance between convenience and privacy is teetering. The digital age, while offering unprecedented opportunities, also brings with it challenges to our rights and individual autonomy.

The “Broken Robot” series / Midjourney.

🧘 Safeguarding personal data and addressing data breaches

Source:

We need to be proactive about safeguarding our data. That means being cautious about sharing sensitive information online, especially on sketchy websites or with unknown apps.

Think twice before clicking on those suspicious links or giving away too much info – you never know who might be lurking!

Use strong and unique passwords

The temptation to reuse passwords across sites is understandable - remembering a unique one for each account can quickly become unmanageable. But recycling credentials is like gifting the keys to hackers, allowing our entire digital life to be compromised. Instead, let's get creative and diligent with our password hygiene. Using unpredictable combinations of upper and lower case letters, numbers, and symbols can go a long way. Pair this with changing passwords regularly and avoiding common phrases. It's a bit cumbersome, but far better than the alternative.

And when breaches inevitably occur, we must respond swiftly to protect ourselves. If a company we rely on suffers a data leak, closely monitor the situation and follow their guidance. Reset any reused passwords immediately. Review account activity and statements for suspicious transactions. Consider credit freezes if highly sensitive information was exposed. Remain vigilant for phishing attempts using stolen data. While breaches produce anxiety, good cybersecurity habits can mitigate damages. We may not fully avoid risks in the digital age, but proactive precautions keep us resilient.

Check if they provide any guidance for users and follow their instructions to protect ourselves.

Now, let's talk about encryption.

When sending sensitive data, like personal information or passwords, let's make sure it's encrypted. Encryption turns our data into secret code that only the intended recipient can decode, like having a secret language.

Monitor financial accounts regularly

Vigilance is key - routinely monitoring financial accounts and statements allows early detection of any suspicious charges or activity. At the first sign of unauthorized transactions, immediately contact institutions to report fraud and halt further damage. Accepting risks is one thing, but neglect invites trouble.

Beyond finances, discretion with personal information also thwarts potential attacks. Oversharing intimate life details on social media may be tantalizing, but restraint is advisable. Revealing too much hands over ammunition to hackers in the form of security questions, password reset hints, and other exploitable bits. The most innocent-seeming tidbits can enable social engineering schemes, identity theft, or targeted scams when pieced together. Acknowledge risks, then think twice before posting private information that cybercriminals thrive on acquiring.

Finally, let's stay informed about data protection and privacy trends. Technology is always changing, and new threats can pop up, but if we stay in the loop, we'll be better prepared to protect our personal data like champs.

So, with these smart strategies in our back pocket, we can tackle data breaches and safeguard our data like the savvy cyber wizards we are.

Let's keep our data safe and our digital lives secure!

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🙅🏻 Bias and fairness in AI

Source:

AI models are built on the data they're trained with.

But here's the catch - that data can have hidden biases from past human prejudices and societal norms. And guess what? These biases can sneak into the AI systems and unknowingly make their decisions and recommendations biased too.

It's like passing on those unfair patterns without even realizing it.

Challenges posed by "black box" AI algorithms 🔲

The temptation to reuse passwords across sites is understandable - remembering a unique one for each account can quickly become unmanageable. But recycling credentials is like gifting the keys to hackers, allowing our entire digital life to be compromised. Instead, let's get creative and diligent with our password hygiene. Using unpredictable combinations of upper and lower case letters, numbers, and symbols can go a long way. Pair this with changing passwords regularly and avoiding common phrases. It's a bit cumbersome, but far better than the alternative.

And when breaches inevitably occur, we must respond swiftly to protect ourselves. If a company we rely on suffers a data leak, closely monitor the situation and follow their guidance. Reset any reused passwords immediately. Review account activity and statements for suspicious transactions. Consider credit freezes if highly sensitive information was exposed. Remain vigilant for phishing attempts using stolen data. While breaches produce anxiety, good cybersecurity habits can mitigate damages. We may not fully avoid risks in the digital age, but proactive precautions keep us resilient.

Black box AI can unknowingly inherit biases from the data they're trained on. And without transparency, we might not even know those biases are there like a hidden trap waiting to surprise us!

The thing is, we want to trust AI, but it's hard when we can't peek into its decision-making process. Plus, when things go wrong, it's tough to figure out what caused it and how to fix it.

⚖️ Mitigating bias and promoting fairness in AI algorithms

Tackling AI bias and discrimination is no easy feat. It involves diving into the technical nitty-gritty of AI, considering social and cultural factors, and understanding the real impact of AI decisions.

Without strong regulations in place, we run the risk of letting biased AI systems roam free, which could seriously harm society and shake people's trust in AI. It's a big challenge, but we must face it head-on to ensure fair and responsible AI use.

There are several approaches that researchers and developers are exploring to keep bias in check and promote fairness in AI algorithms.

• Using diverse and representative training data: This means making sure the data used to train AI includes people from all different backgrounds to avoid unfair biases.

• Pre-processing and data augmentation: It basically cleans up the data and creates more balanced datasets to reduce potential biases.

• Developing algorithms that explicitly include fairness constraints during AI model training: This helps strike a balance between accuracy and fairness, making sure no group gets favored or disadvantaged.

• Placing posthoc fairness interventions: These come into play after training the AI model to adjust the results and achieve greater fairness if any biases are detected.

• Making AI more interpretable : Understanding how AI makes decisions makes it easier to spot biases and improve fairness.

• Involving humans in the loop : By having people review and validate AI outputs, we can catch and correct biases, taking a more human-centered approach.

And, of course, it's a continuous process! We need to keep monitoring and evaluating AI systems to ensure fairness over time.

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The Evolution of A.I. Regulation in 2023

In my article Navigating the Regulation of Artificial Intelligence I explored the latest developments in the regulation of AI. I will be adding new information to the article as it becomes available, so you can stay informed about the latest progress.

Here are the key points about AI regulation from the article:

• OpenAI CEO Sam Altman and two other experts have proposed a plan for governing superintelligence. They predict that within the next decade, these systems could surpass human expertise and be as productive as large corporations.

• There is a growing debate on how to regulate superintelligence. The difficulty of regulating emerging technology, such as social networks and cryptocurrency, raises questions about how we will regulate superintelligence.

• Microsoft has joined the global debate on AI regulation, calling for a new federal agency to control its development. Microsoft President Brad Smith outlined a five-point plan for addressing the risks of AI and called for an executive order requiring federal agencies to implement a risk management framework for AI.

• Opponents such as IBM argue that AI regulation should be integrated into existing federal agencies due to their expertise in the sectors they oversee. Christina Montgomery advocates for a precision regulation approach to AI, where regulation focuses on specific use cases of AI rather than the technology itself.

• The European Union’s Artificial Intelligence Act (AIA) moved closer to passage on May 11, 2023. The AIA is a risk-based regulation that would impose different obligations on AI systems depending on their risk level.

Key Takeaways 🔑

In the meantime, everybody agrees that regulating AI is a nuanced challenge due to the technology's rapid evolution and unique complexities. While government oversight will play a key role, a multi-faceted approach is needed for balanced, adaptive policies. This could involve:

• Developing flexible regulatory frameworks attuned to AI's technical capacities and limitations. Overly rigid regulations risk stifling innovation and falling behind the technology's pace.

• Fostering strong self-regulation within the AI industry via ethical codes of conduct and best practices. Government and industry collaboration is key for effective co-regulation.

• Promoting AI research and literacy to inform evidence-based policies. Regulators must maintain technical expertise to regulate intelligently. Public education builds trust and social license.

• Ensuring transparency and accountability across the AI design, development and deployment pipeline. Ongoing impact assessments enable adaptive regulations that address emerging risks.

• Building participative governance structures that integrate diverse voices - industry, academia, civil society, marginalized groups. Inclusive discourse strengthens oversight.

Regulating AI is a complex socio-technical challenge with high stakes for society and human rights. We need multifaceted governance embracing nuance, expertise, transparency and stakeholder diversity to steer AI's evolution ethically. The goal is maximizing its benefits while mitigating potential harms.

Autonomy and accountability of AI systems 🗽

Some AI systems now operate with increasing autonomy, able to make decisions and act without direct human oversight. We are ceding more control to AI in high-stakes domains like healthcare, transportation and finance. But granting unchecked autonomy risks relinquishing too much responsibility. We must assure that autonomous AI aligns with ethics, safety and human priorities.

Blindly trusting algorithms to make impactful choices on their own, without transparency or accountability, is reckless. However, we also cannot afford to constrain AI advancement by demanding humans manually approve every minor action. Finding the right equilibrium - where AI can independently navigate bounded contexts but defers to human judgment for major decisions - is an ongoing challenge. It necessitates continuous risk assessment, ethical guidelines and often some calculated trial-and-error. But the alternative, surrendering key decisions about health, freedom or human life to black-box algorithms, is far more dangerous than imperfect solutions. Our future may depend on getting the level of AI autonomy right.

The interplay of independence and human guidance

When AI systems operate autonomously, it can be challenging to figure out who's responsible if things go wrong. Imagine an AI making a mistake or causing harm – who takes the blame?

But don't worry; we're working on ways to hold AI accountable. Creating guidelines and regulations helps ensure that AI is developed responsibly and ethically.

It's not about stifling AI's potential but finding the right balance. We want AI to be independent thinkers but also to ensure they don't run wild like unruly teenagers!

That's why researchers are exploring ways to make AI more transparent, so we can understand how they make decisions.

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⚔️ AI's role in warfare and surveillance

Source:

• We have autonomous weapons that are AI-powered machines taking the reins in warfare.

• While they might reduce human casualties, they could also lead to unprecedented and rapid escalation of conflicts. The idea of machines making life-and-death decisions raises ethical questions about accountability, proportionality, and our value of human life.

• Next, we've got mass surveillance – AI technologies that can predict behavior, mine data, and recognize faces.

While these tools can aid crime prevention and national security, there's a flip side – oppressive regimes could misuse them to control and suppress their citizens.

With these AI advancements, we need to tread carefully, setting strong regulations and ethical guidelines to ensure we harness AI's power responsibly. We must keep a vigilant eye on the potential risks while maximizing the benefits for society.

By proactively addressing these challenges, we can build a future where AI serves humanity's best interests and doesn't compromise our values and rights.

🪂 The Risks of AI-Enabled Military Competition

The intensifying strategic rivalry between the U.S. and China raises urgent concerns about an AI arms race with destabilizing effects. Both nations are pouring resources into developing AI, including for military applications like autonomous weapons and logistics. This risks fueling a dangerous escalation cycle.

However, the militarization of AI does not have to be inevitable. The high stakes require the U.S. and China to explore avenues for increasing transparency, building trust and promoting cooperation around AI's development and deployment.

They should expand efforts to align on ethical AI principles and governance frameworks. Confidence-building measures like reciprocity in restricting certain AI weapons capabilities could mitigate risks. Ongoing dialogue between security communities, policymakers and AI researchers is vital for progress.

Furthermore, the dual-use nature of AI demands responsible approaches. Governance mechanisms should aim to unlock its benefits for development while restricting harmful applications like in biological warfare. Avoiding an unchecked AI arms race will require stakeholders to elevate long-term foresight above short-term advantages.

AI will shape the future of power and security in complex ways. But its risks are manageable if key actors work proactively to build cooperation, not confrontation. With strategic vision and ethical leadership, the U.S. and China can steer AI's trajectory toward stability, not escalation. But averting crisis requires prioritizing diplomacy and mutual understanding.

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Employment disruption and inequality

Although they boost productivity, AI could also replace some human workers. A robot taking over our job – not a great feeling, right?

This could mean lots of people losing their jobs, leading to big problems for society and the economy. You can get a domino effect, causing major changes in how we live and work.

Job redesign is a smart move – it means reshaping jobs to work hand in hand with AI. Instead of competing with them, we can team up and make the most of their superpowers!

And let's not forget about social security reforms. Changing how we support people during unemployment can provide a safety net for those affected by AI's rise.

• SOURCE : AI-Employment-brief-2021.pdf (oecd.org) 

IMPORTANT CONSIDERATIONS

Addressing socioeconomic disparities and promoting inclusivity

The kicker is, the ones hit hardest by job displacement might not see the rewards of AI advancements which can be a cruel twist of fate!

This could lead to more gaps between regions and different demographics. It's like some places and people getting left behind while others race ahead.

Promoting access to AI education and training can help more people benefit from AI's growth. We should give everyone a fair shot at the AI game.

We also need policies that ensure the economic gains from AI are shared more broadly.

Overreliances on AI: striking a balance to preserve humanity

As we grow increasingly dependent on AI, some important implications must be considered. It's a balancing act, ensuring we use AI's capabilities wisely without losing sight of our human touch.

AI can be a game-changer, boosting efficiency and innovation, but we must be cautious about potential pitfalls. We need to be mindful of not letting AI overshadow our unique human qualities and intuition.

We can navigate the implications thoughtfully by staying aware of our reliance on AI and fostering a healthy relationship with technology. We have to be the ones in control, not the other way around.

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Addressing dehumanization in an AI-driven world

As AI plays a bigger role in our lives, we must be mindful of how it affects our human connections. We have to find that sweet spot where AI enhances our lives without diminishing our unique human qualities.

We can foster empathy and emotional connections, ensuring AI doesn't overshadow our interpersonal relationships.

By being aware of the impact of AI on our humanity, we can take proactive steps to preserve our human essence in this technology-driven era.

It's all about embracing the benefits of AI while holding onto what makes us human.

The Digital Double-Edged Sword: How Technology Can Both Connect and Isolate Us

Advances in digital technology and social media have fundamentally transformed communication and relationships. While these tools help us instantly connect with others worldwide, they also carry risks if allowed to replace human interaction and emotional bonds.

• Source: Technology Use, Loneliness, and Isolation | Psychology Today

Superficially, social media provides the illusion of companionship. Yet curating our online image filters out the authenticity that comes from vulnerability and presence. Platforms engineered to maximize engagement can foster addictive usage and displacement of in-person community.

Overreliance on technology for connection risks reducing multidimensional people to one-dimensional profiles. Nuance and empathy wane when we relate to each other as content, not beings with inner lives. Even as we become more globally connected, many report feeling more isolated and depressed.

As AI grows more sophisticated, we should be wary of anthropomorphizing it despite its human-like capabilities. While AI can provide utility, its inability to truly empathize means it should complement, not substitute, human relationships.

In one study, participants kept a daily log of time spent doing 19 different activities during weeks when they were and were not asked to abstain from using social media. In the weeks when people abstained from social media, they spent more time browsing the internet, working, cleaning, and doing household chores. However, during these same abstention periods, there was no difference in people's time spent socializing with their strongest social ties.

SOURCE: Social media’s growing impact on our lives (apa.org) 

Seeking balance is critical. While embracing tech's benefits, we must consciously preserve time for meaningful real-world interactions. Technology is not inherently isolating, but excessive use can detach us from the interpersonal bonds essential for well-being. With self-awareness and perspective, we can harness it to enrich, not erode, our essential human need for genuine connection.

Feel free to quote from this article and restack it on Notes.

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Church of Apple

The future of AI ethics and responsible development

Figure 1Source: wef

With rapid technological advancement, it becomes imperative to establish clear guidelines and regulations to safeguard against AI bias and discrimination while ensuring the protection of privacy and data rights.

We can empower individuals and businesses to make informed decisions by emphasizing education and AI literacy.

We must stay vigilant and adaptable, promoting AI that amplifies human potential and contributes positively to society. We stand at a crossroads with AI - we can either recklessly rush ahead or thoughtfully steer its trajectory. The path we must take is clear: building an AI-enabled future that uplifts humanity. This requires proactive collaboration across sectors - technologists, ethicists, policymakers, and society. Together, we can foster innovation guided by wisdom, ethics and foresight at every step.

The destination is within reach, but we must begin the journey in earnest. Only through open and urgent dialogue, grounded in our shared values, can we ensure AI's profound impacts are overwhelmingly positive. The task before us now is to create a future where AI amplifies our humanity, not diminishes it. Our collective choices will ripple through generations. The time for thoughtful action is unequivocally now - our children's children deserve nothing less.

Churn of Tesla.

Summary

As we end our journey through the captivating world of AI ethical dilemmas, it's clear that the road ahead is both fascinating and challenging.

We've explored the potential dangers lurking within superintelligence, danced with the complexities of privacy and data protection, and championed the importance of fairness and transparency in AI's realm.

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But that's not all.

We've also confronted the intriguing questions surrounding AI's autonomy and accountability, uncovering its influence on warfare and surveillance, and pondered the impact on employment and inequality. It's been quite the adventure.

The future remains undetermined - and in our hands. We possess immense power to guide AI's trajectory, steering it toward benevolence over destruction. But mastering this technology requires wise restraint and moral imagination as much as raw innovation.

We must approach AI aligned with ethics and shared human values. And we must remain vigilant - establishing guardrails, demanding accountability, and centering our shared humanity. If we embrace this challenge with wisdom, foresight, and empathy for one another, the story we author can uplift the human spirit rather than diminish it.

The task at hand is immense, but so is our capacity for good. By joining together, we can nurture AI that elevates our collective potential. There is still time to shape a future where humanity flourishes alongside our technological creations. But first, we must revive this urgent conversation - for our generation, and all those to come.

We can navigate the twists and turns of AI ethics and forge a path toward a brighter, more equitable world where technology and humanity dance harmoniously into the future.

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The newsletter for enterprise Artificial Intelligence (AI) leaders & those aspiring to become one.

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Example Read

• Why Your Prompt Engineers Need More Than ChatGPT Skills

76. NEWART

NEWART

Newart was created to explore the past and future of TECHNOLOGY x CREATIVITY

By Louis Anslow

Example Read

Art Has Always Been Artificial

77. Not A Bot

https://www.notabot.tech/ (beehiiv)

Example Read

• Meta + Microsoft = Magic

78. Interconnects

Interconnects

Linking important ideas of AI. The interface of systems and society. The border between high-level and technical thinking. Most Wednesday mornings.

By Nathan Lambert

Example Read

• Behind the curtain: what it feels like to work in AI right now

79. MLOps Newsletter

MLOps Newsletter

Machine Learning Ops is a newsletter that gives you interesting developments, tid-bits around machine learning and deep learning in a (mostly) weekly basis.

By Bugra Akyildiz

Example Read

• ChatGPT4 still leads ChatBot/LLM Leaderboard

80. The Algorithms - MIT Tech Review

https://forms.technologyreview.com/newsletters/ai-demystified-the-algorithm/

81. ChinAI Newsletter

ChinAI Newsletter

Jeff Ding's weekly translations of writings from Chinese thinkers on China's AI landscape

By Jeffrey Ding

Example Read

• ChinAI #230: Women Raising AI and Babies

82. The A.I. Product Report

https://www.productreport.ai/ (beehiiv)

Example Read

• GigaBrain scrapes Reddit data to create my product of the week, July 21st, 2023

83. Gradient Flow

Gradient Flow

Put data, machine learning, and AI to work.

By Ben Lorica 罗瑞卡

Example Read

• The New Era of Efficient LLM Deployment

84. H+ Weekly

H+ Weekly

H+ Weekly sheds light on the bleeding edge of technology and how advancements in AI, robotics, and biotech can usher in abundance, expand humanity's horizons, and redefine what it means to be human.

By Conrad Gray

Example Read

Humanoid robots: Machines built in our image

85. The A.I. Analyst by Ben Parr

The A.I. Analyst by Ben Parr

What's going to happen next in AI? How far away are we from AGI? Will AI eliminate jobs and can society adapt? Former Mashable Co-Editor Ben Parr explores how technology — especially AI — is impacting society and our future. 8,500+ subscribers.

Example Read

• ChatGPT and the A.I. Education Arms Race

Share this list with anyone seriously interested in A.I. , the future, emerging & exponential tech, machine learning or data engineering. This is a lit of over 200 Newsletter. 

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86. The Hitchhiker’s Guide to A.I. - by Parcha

The Hitchhiker's Guide to AI - by Parcha

A newsletter exploring the world of artificial intelligence and how it is changing the way we live, work and play by Parcha.ai

By AJ Asver

Example Read

• Interview: Human-level AI and AI Agents with Josh Albrecht, CTO of Generally Intelligent

87. AI Unlocked by Polymath

AI Unlocked by Polymath

Every weekend we will come to you with a curated selection of only the most relevant updates & developments. Join our list of 10K+ readers from top-tier VC firms, BCG, McKinsey, Microsoft, Google, TFI & more.

By Pratik Rajurkar

Example Read

• #20 AI : "Risk of extinction" or the "New paradigm"

88. AK’s Substack

AK’s Substack

latest AI news and research papers

Example Read

• Trending AI news stories + papers, June 14th, 2023 by TW: AK (this is actually Ahsen Khaliq who works at Hugging Face)

89. Ankur’s Newsletter

Ankur’s Newsletter

Covering major trends in artificial intelligence and startups.

By Ankur A. Patel

Example Read

• How TikTok Uses AI to Engineer User Addiction

90. Methexis

Methexis

The relationship between humans and machines

By Kevin Fischer

Example Read

91. Unwind AI

Unwind AI

Your go-to newsletter on what's trending in the AI - from the field to your inbox! Read by over 6000+ AI professionals everyday!

By Shubham Saboo

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92. Underfitted

Underfitted

A breakdown of some of the most exciting ideas in Artificial Intelligence in fewer than 500 words.

By Santiago

Example Read

• Building software with a LLM is not what they say

93. Made with ML

https://madewithml.com/

94. Artificial Intelligence Made Simple

Artificial Intelligence Made Simple

Turning complex ideas in AI Research, Machine Learning, Deep Learning, and Data Science into actionable insights. Read in over 160 countries. Sister Publication to Tech Made Simple

By Devansh

Example Read

• Prompt Engineering will change the world. Just not in the way you think [Thoughts]

95. AI Brews

AI Brews

A thoughtfully curated weekly newsletter featuring AI products, learning resources and a digestible roundup of the week's impactful news. Stay effortlessly updated on AI without the information overload.

By Mariam

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96. Aurum Bits

Aurum Bits

Offering simple stories to the hard concepts for those with more than a passing interest in AI.

By Edem Gold 🇳🇬

Example Read

• The History of AI

97. AI Changes Everything

AI Changes Everything

AI advice, how-tos, insights, news, thoughts and wisdom. AI changes everything.

By Patrick McGuinness

Example Read

• AI and the Future of Work

98. The Generative Post

The Generative Post

A (mostly) weekly newsletter highlighting news and happenings in the world of generativeAI

By David Greenfield

Example Read

• Model Mania: Why so many models?

99. GoatFury’s FutureScape

GoatFury's FutureScape

A 30,000 foot view of how the world is changing today, especially with regard to rapid technological progress. Where's this bringing us?

By Andrew Smith

Example Read

Every AI, Everywhere, All At Once

100. Future Essentials

Future Essentials

10 things every Friday that make you smarter about the future.

By Misha da Vinci

Example Read

• Hollywood Needs a Whole New Business Model, Return-to-Office Mandates are Bad, 5 Meta-Skills, & More

📰 Archives | ⬆️ Upgrade Account | 📢 Sponsor Us | 🧾 Reddit Links |

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101. Mostly Harmless Ideas

Mostly Harmless Ideas

Opinions, essays, full-blown technical articles, and short comments on Computer Science research, practice, and education.

By Alejandro Piad Morffis

Example Read

• Can Machines Think?

102. Paige’s Substack

Paige’s Substack

My personal Substack

Example Read

• Ethical AI Insights

103. CogitoAlgo

CogitoAlgo

Navigating Sentience and the Singularity

By Nate Rutan

Example Read

• Temperature Check: Recursive Self-improvement and the Singularity

104. Data Elixir Newsletter

https://dataelixir.com/

105. The Future Normal

The Future Normal

How We Will Live, Work, And Thrive In The Next Decade.

By Henry Coutinho-Mason

Example Read

• AI, the enterprise, and the future of work

106. The Neural by TNW (The Next Web)

https://share.hsforms.com/1kUPK28s-Ro67GKE8E65Zwg47gef

107. Import AI

Import AI

Import AI is a weekly newsletter about artificial intelligence based on detailed analysis of cutting-edge research.

By Jack Clark

Example Read

• Import AI 333: Synthetic data makes models stupid; chatGPT eats MTurk. Inflection shows off a large language model

108. A.I. Academy

https://www.ai-academy.click/

109. Ahead of AI

Ahead of AI

Ahead AI specializes in Machine Learning & AI research and is read by tens of thousands of researchers and practitioners who want to stay ahead in the ever-evolving field.

By Sebastian Raschka, PhD

Example Read

• About LayerNorm Variants in the Original Transformer Paper, and Some Other Interesting Historical Tidbits About LLMs

110. Confessions of a Code Addict

Confessions of a Code Addict

Unlocking modern algorithms and research through practical coding. Welcome to the space where hard computer science becomes accessible.

By Abhinav Upadhyay

Example Read

A Tutorial Guide to Using The Function Call Feature of OpenAI's ChatGPT API

🏁 Start a Substack | 🔎 About | 🦸🏻‍♂️ Benefactor | 👥 Guest Posts

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111. The European A.I. Newsletter

https://www.europeanartificialintelligence.com/

112. After Babel (related to digital applications of A.I)

After Babel

Using moral psychology to explain why so much is going wrong

By Jon Haidt

Example Read

• AI Will Soon Make Social Media Much More Harmful to Liberal Democracy, and to Children

113. Designing Tomorrow

Designing Tomorrow

Advancing Technological Intelligence to improve the human-technology relationship

By Ravi Iyer

Example Read

Unveiling the Neely Ethics & Technology Indices

114. The Road to AI We Can Trust

The Road to AI We Can Trust

A no-bullshit look at AI progress and hype

By Gary Marcus

Example Read

• AI risk ≠ AGI risk

115. Papers with Code Newsletter

https://paperswithcode.com/newsletter

Share this list with anyone seriously interested in A.I. , the future, emerging & exponential tech, machine learning or data engineering. This is a list of over 200+ Newsletters. 

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116. Rational in the Fullness of Time

Rational in the Fullness of Time

Things I've learned building a company

By Alexandr Wang

Example Read

• The AI War and How to Win It

117. Refactoring

Refactoring

Weekly, practical advice on writing great software and working well with humans.

By Luca Rossi

Example Read

How to Use AI in an Engineering Team 🤖

118. Ben’s Bites

https://bensbites.beehiiv.com/ (beehiiv)

119. The Decoder

https://the-decoder.com/about/ (Bottom of page)

120. Top Bots Applied A.I.

https://www.topbots.com/

👀 See Testimonials | 💬 Chat | 🕰️ Read Past Issues | ⬆️ Upgrade Account 

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121. Machine Learning Ops Roundup

Machine Learning Ops Roundup

Why is machine learning in the real world hard and how do you make it better? This newsletter brings together the best articles, news, and papers highlighting the challenges and opportunities in MLOps

By ml-ops

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Issue #31: Refuel.ai. LLMs can label data better than humans. Autolabel.

122. The Gradient

The Gradient

Articles, interviews, and news coverage about AI brought to you by a team of AI researchers and builders.

Example Read

Update #40: AI's Year in Review and In-Context Learning as Gradient Descent

123. The A.I. Ethics Brief

The AI Ethics Brief

Democratizing AI ethics literacy.

By Montreal AI Ethics Institute

Example Read

• AI Ethics Brief #121: Ideological alignment, three eras of ML, counter narratives against hate speech, and more.

124. Gwern.net Newsletter

Gwern.net Newsletter

Latest gwern.net updates, interesting links, and reviews

By gwern

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• January 2021 gwern.net newsletter with links on AI scaling up and down.

125. The Memo by LifeArchitect.ai

The Memo by LifeArchitect.ai

AI - Artificial intelligence that matters, as it happens, in plain English!

By Dr Alan D. Thompson

Example Read

• The Memo - 9/Jul/2023 - Microsoft LongNet, Salesforce XGen, OpenAI London, and much more!

126. Artificial Intelligence, Authentic Spirituality

Artificial Intelligence, Authentic Spirituality

Living well and seeking God in the AI era

By Brent Macon

Example Read

• AI Questions That Need Answers

127. Eslflow’s Newsletter

Eslflow’s Newsletter

Eslflow's English as a second language experiments & ideas focusing on creativity and artificial intelligence for teaching

By Peter Snashall

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128. The Belamy | Weekly dose of best Tech stories

The Belamy | Weekly dose of best Tech stories

The Belamy is the weekly newsletter of Analytics India Magazine. We share a curated list of best stories on Technology and its impact on culture & society.

By Analytics India Magazine

129. Stories by AI

Stories by AI

Unique tales written, illustrated, and narrated with AI

Example Read

Why I'm no longer writing stories with AI

130. Satellite-image-deep-learning

satellite-image-deep-learning

Newsletter on deep learning with satellite & aerial imagery

By Robin Cole

Example Read

• New discoveries #14 - PaRK-Detect, LSKNet, Sat2Density, OnlyPlanes Dataset, Pools and WaterTanks datasets.

131. Math Data Simplified (MLOps Engineer)

https://mathdatasimplified.com/subscribe/

132. Untangled

Untangled

A newsletter and podcast about technology, people, and power.

By Charley Johnson

Example Read

• 💼 Why 'Will AI take your job?' is the wrong question.

133. AI Safety Newsletter

AI Safety Newsletter

The latest news on AI Safety

By Center for AI Safety

Example Read

AI Safety Newsletter #9

134. ML Safety Newsletter

ML Safety Newsletter

ML Safety Research News

By Dan Hendrycks

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135. A.I. Disruptor

https://www.aidisruptor.ai/ (ghost)

Example Read

• Welcome to the AI Disruptor Website

136. A.I. Marketing School

https://aimarketingschool.beehiiv.com/

(beehiiv)

Example Read

• Why marketers need to start using Claude 2 ASAP 👀

137. Cloud and Security A.I. Thoughts

☁️ Cloud Security and AI thoughts 🤖

Get weekly tips and guidance on Cloud Security, A.I. and monetizing your cybersecurity skills. From Taimur Ijlal

By Taimur Ijlal

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138. Your AI Assistant

Your AI Assistant

Want to unlock the full potential of AI to grow your business? Read on. This newsletter shares actionable insights on using AI in management, sales, marketing, HR, dev, and more. Paid readers get access to my Innovation masterclass for just $10/month.

By Adam Egger

Example Read

• Save Hours of Time on Social Media with ChatGPT: A Step-by-Step Guide.

139. Interconnected

Interconnected

On the intersections of tech, investing, geopolitics, and US-Asia relations

By Kevin Xu

Example Read

• AI Will Create More Developers, Not Less

140. Coding with Intelligence

Coding with Intelligence

CoWI is a weekly newsletter covering the latest developments in Large Language Models and Machine Learning. Get the latest News, Repos, Demos, Products, and Papers.

By Rick Lamers

Example Read

• Anthropic's Claude 2: 4X cheaper than GPT-4-32k and up-to-date world knowledge

141. ThurdAI - Recaps of the most high signal AI weekly spaces

ThursdAI - Recaps of the most high signal AI weekly spaces

ThursdAI, the podcast that keeps you ahead of the AI curve. Hosted by AI consultant Alex Volkov, CEO of Targum.video and expert guests, discussing every important AI / LLM update from the past week, every ThursdAI

By Alex Volkov

Example Read

• 🎙️ThursdAI - Jul 27: SDXL1.0, Superconductors? StackOverflowAI and Frontier

  Model Forum

142. Rough Diamonds

Rough Diamonds

Underrated opportunities in science, technology, and society

By Sarah Constantin

Example Read

• Why I am Not An AI Doomer

143. Technically

Technically

Technically explains software and hardware in a simple and engaging way so you can impress your boss or be more technical.

By Justin

Example Read

[Deep Dive] How do Large Language Models work? (Paid)

144. Jon Stokes .Com

jonstokes.com

AI/ML, crypto, speech, power

By Jon Stokes

Example Read

• How To Regulate AI, If You Must

142. Marily Nika’s AI Product Newsletter

Marily Nika’s AI Product Newsletter

Weekly educational content about AI, PM & tech. Subscribe to support my work and to also get exclusive templates, frameworks, course discounts and tools that will transform your career.

Example Read

• Navigating the Trade-offs in AI

146. True Positive Weekly

True Positive Weekly

The most important artificial intelligence and machine learning links of the week.

By Andriy Burkov

Example Read

• True Positive Weekly #68

147. Sparks in the Wind

Sparks in the Wind

Ideas on AI, technology, and society. Mostly ephemeral, but carries a small chance of starting a fire.

By François Chollet

Example Read

AI is cognitive automation, not cognitive autonomy

148. Artificial intelligence made easy

Artificial intelligence made easy

This publication is all about explaining AI concepts in simple words for newbies and people who are interested in cutting-edge technology

By Chinmay Bhalerao

Example Read

• Why you need statistics for ML,DL & AI ?

149. Deploy Securely

Deploy Securely

Manage risk at the junction of artificial intelligence and software security.

By Walter Haydock

Example Read

• Generative artificial intelligence (AI) security policy template

150. TheSequence

TheSequence

The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and data science world. Trusted by 144,485 professionals from the main AI labs, universities, and enterprises

By Jesus Rodriguez

Example Read

The LLama Effect: How an Accidental Leak Sparked a Series of Impressive Open Source Alternatives to ChatGPT

151. Inside My Head

Inside My Head

Exploring the world of AI Technology, Design, and building digital products while navigating life as a dad.

By Linus Ekenstam

Example Read

Tutorial: How to create consistent characters in Midjourney

151. Forward Future

Forward Future

Artificial intelligence news, tutorials, tools, generative art, and more

By MatthewBerman

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152. Society’s Backend

Society's Backend

Understand the technology society relies on. Use it to get ahead.

By Logan Thorneloe

Example Read:

• Artificial Intelligence: A New Paradigm Emerges

153. AI and Web3

Transcending Boundaries of AI and Web3

In the captivating world where AI and crypto unite, a fervent enthusiast and content creator surfaces. I explore the fusion of art, tech, and Web3, unveiling AI and NFT secrets. Education unlocks success Join me in demystifying this enigmatic domain.

By dark3web

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• Discovering Netizens: The Future of Online Education in a Web3 World

154. The Big Y

The Big Y

Your guide to what's cool and why you should care about Artificial Intelligence

By Yina Moe-Lange

Example Read

• The Big Y #168

155. The What’s AI Weekly by Louis Bouchard

The What's AI Weekly by Louis Bouchard

Welcome to my AI Weekly newsletter, now followed by more than 12'000 AI enthusiasts! There are a lot of AI newsletters, but this one is different. I share only one piece of AI content (paper explained, interviews...) as information dense as possible.

Example Read

https://www.louisbouchard.ai/ (and his YouTube)

156. Future of the Law

Future of the Law

I write on the future of innovation + all things law, startups and artificial intelligence.

By Suhas Baliga

• In a post-AI world, who will be the winners?

157. AI Tribe 1-1-1-

AI Tribe 1-1-1

1 Novel tool to use, 1 Surprise recipe to try and 1 Engaging material to explore from Artificial Intelligence / Machine Learning - Concepts, Application, Research delivered biweekly 👍

By Nexus Insights

Example Read

• #2 Prompting to building chatbots!

158. SemiAnalysis

SemiAnalysis

Bridging the gap between the world's most important industry, semiconductors, and business.

By Dylan Patel

Example Read

• GPT-4 Architecture, Infrastructure, Training Dataset, Costs, Vision, MoE

159. Health A.I. Guy Newsletter

https://healthcareaiguy.beehiiv.com/ (beehiiv)

Example Read

• Healthcare AI Guy Weekly Newsletter | 7/18

Kindly recommend me more folk,

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161. AI Writing Wizard

https://aiwritingwizard.com/ (beehiiv)

Example Read

162. WGMI Media

https://wgmimedia.com/ (beehiiv)

Example Read

Brainstorm Lead Magnet Ideas With ChatGPT

163. Rhetorica

Rhetorica

Notes from a nontraditional student turned educator: writing, fiction, AI, and life

By Marc Watkins

Example Read

• Our Obsession with Cheating is Ruining Our Relationship with Students

164. A.I., software, tech and people (not in that order…by X)

AI, software, tech, and people, not in that order... by X (external blog)

Example Read

• Prompt Engineering 201: Advanced methods and toolkits

165. Superhuman

https://www.joinsuperhuman.ai/ (beehiiv)

Example Read

• LinkedIn allegedly working on new AI coach

166. Guide to AI

Guide to AI

The monthly newsletter analysing the most important AI technology, research, geopolitics and startups.

By Nathan Benaich

Example Read

• 🎁 Your guide to AI: April 2023

167 Peter Diamandis Blog - Data Driven Optimism

https://www.diamandis.com/subscribe

Example Read

• BREAKTHROUGH IN AGE REVERSAL

168. Data Engineer Things

Data Engineer Things

Data Engineer Things, founded by Xinran Waibel, is dedicated to creating and sharing learning resources for data engineering. Our audience ranges from aspirational data engineers to experienced data leaders. Subscribe to grow and learn together!

By Xinran Waibel

Example Read

• Data Engineer Things Newsletter #4

169. Liberty’s Highlights

Liberty’s Highlights

Exploration as a Service: Investing & business, science & technology, and the arts.

Example Read

• 439: Satya Nadella, Twitter Goes X, Amazon's Kuiper, Roper, YouTube Premium, Netflix, Apple AI, TSMC, Nuclear Catch-22, and Spirited Away

170. Future 2.0

Future 2.0

The ideas and policies that will shape the future, and why they matter today

By Tom Westgarth

Example Read

• AI and a New National Purpose

171. Exponential View by Azeem Azhar

Exponential View by Azeem Azhar

Understand AI & other exponential technologies in weekly briefs from one of the leading insiders.

Example Read

🔮🎨 The AI art special; paradigms; GMO food; bikes, the Apollo computer; dinosaur eggs++ #227

172. Last Week in AI

Last Week in AI

Weekly text and audio summaries of the most interesting AI news, as well as editorials commenting on recent events

Example Read

• GPT-3 is No Longer the Only Game in Town

173. Future State

Future State

How do we govern the future?

By James Plunkett

Example Read

• How to govern human

174. augmented rarity

augmented rarity 👽

A weekly newsletter on emerging tech and future trends. Every Friday 📡

By Martina ✨

Example Read

• AR contact lenses vs goggles 👀, AIs that draw 🖼, and more!

175. Mathworlds

Mathworlds

Building better worlds for learning math.

By Dan Meyer

Example Read

• Why Generative AI Will Underperform Expectations in Education

176. Chain-of-thought by Dan Shipper (Every.to)

https://every.to/chain-of-thought

Example Read

• GPT-4 is a Reasoning Engine

177. The Absent-Minded Professor

The Absent-Minded Professor

Thinking out loud about education, AI, and human flourishing. All through the lens of a prototyping mindset.

By Josh Brake

Example Read

• AI × Education: Some Thoughts on How I'm Approaching My Courses This Fall

178. Byte-sized Ethics

Byte-sized Ethics

Byte-Sized Ethics is a publication dedicated to unraveling the ethical, moral, and legal complexities of AI and technology. I decode complex topics to help you meaningfully engage with issues in AI and Tech Ethics.

By Andy McAdams

Example Read

• Tech Ethics live in the Gap 

179. Creative Block

Creative Block

The weekly newsletter about AI, Technology and Science that matters to you

By Aditya Anil

Example Read

• AI, Great Filter, and The Intelligent Life

180. Don’t Worry About the Vase

Don't Worry About the Vase

A world made of gears. Doing both speed premium short term updates and long term world model building. Explorations include AI, policy, rationality, Covid and medicine, strategy games and game design, and more.

By Zvi Mowshowitz

Example Read

• OpenAI Launches Superalignment Taskforce

181. High Growth Engineer

High Growth Engineer

Grow faster in your software engineering career with actionable tips you can start using right away

By Jordan Cutler

Example Read

• How you can ~1.5x your salary through negotiation

182. Disconnect

Disconnect

A newsletter for people who want a critical perspective on Silicon Valley and what it’s doing to the world

By Paris Marx

Example Read

• The ChatGPT revolution is another tech fantasy

183. Data Analysis Journal

Data Analysis Journal

Where product, data science, and analytics intersect. Trusted by thousands of analysts and data scientists around the world

By Olga Berezovsky

Example Read

• Celebrating An Anniversary: Three Years of Writing About Analytics - Issue 154

184. The A.I. Scientist

The A.I Scientist

Using A.I to discover new science.

By Joshua Opaka

Example Read

• The Role of Machine Learning in Advancing Synthetic Biology

185. High ROI Data Science

High ROI Data Science

I provide insights from over a decade in Data Science for technical and non-technical audiences. Covering Data & AI Strategy, Leadership, Data Product Management, Data & Model Literacy, Applied ML Research, & Causal Methods.

By Vin Vashishta

Example Read

• Zillow Just Gave Us A Look At Machine Learning's Future

186. ExploreAi.Online Newsletter

ExploreAi.Online Newsletter

Exploring the ever-expanding world of AI & technology. Free AI Art Generation, Writing Assistants, and so much more.

Example Read

• Pioneering AI 4 All

187. Our digital disco

[our digital disco]

With so much happening in the tech world, it can be hard to know what really matters. [our digital disco] is a biweekly newsletter that cuts through tech jargon and explains how prominent events personally impact you.

By Meg McNulty

Example Read

• Digital twins and AI-powered imaging: Let's chat emerging medicine tech.

188. Engineering Leadership

Engineering Leadership

All things Engineering Leadership!

By Gregor Ojstersek

Example Read

• Growing from engineer to manager and thriving

189. Data Engineering Weekly

Data Engineering Weekly

The Weekly Data Engineering Newsletter

By Ananth Packkildurai

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190. EcZachly Data Engineering Newsletter

EcZachly Data Engineering Newsletter

A newsletter dedicated to talking about data engineering and technology trends

By Zach Wilson

191. Teaching Computers how to talk

Teaching computers how to talk

A small window into the world of conversational AI. Join 1000+ consultants, creatives, and business leaders who also subscribed to this newsletter.

By Jurgen Gravestein

Example Read

• Did GPT-4 Really Develop A Theory Of Mind?

192. Death to Humans

https://deathtohumans.beehiiv.com/

(beehiiv)

Example Read

🗿 AI: Mankind's Ancient Adversary

193. Cognitive Design for Artificial Mind’s Newsletter

Cognitive Design for Artificial Minds’s Newsletter

Themes & topics intersecting and connecting AI, Cognitive Science & Neuroscience

Example Read

• Large Language Models, Super Human Intelligence and the Methodological Hallucinations of Modern AI

194. Synthedia

Synthedia

Join 1,900 of the most erudite tech observers and follow the business and technology of Generative AI, Synthetic Media, LLMs, ChatGPT, DALL-E, Stable Diffusion, PaLM/Gemini virtual humans/digital people, voice clones, deepfakes, and much more.

By Bret Kinsella

Example Read

Generative AI to Reach $1.3 Trillion in Annual Revenue - Let's Break That Down

195. WhoWhatWhyAi

WhoWhatWhyAi

Weekly dose of inspiration and information for anyone who loves AI. We blend art, stories and updates of the latest AI tools, news and experiments. Join us and discover the amazing possibilities of AI.

By Brian Ball

Example Read

👷 #15. Change the Way You Work with AI

196. The AI Optimist

The AI Optimist

Each week for 1 year I’m exploring the possibilities of AI, against the drawbacks. Diving into the top 10 questions by AI Pessimists, education, and more.... I’m not here to prove I’m right. The purpose here is to engage in discussions with both sides.

By Declan Dunn

Example Read

• The AI Optimist Episode #1 - Synthesize AI into Practical Action

197. Daily Zaps

https://www.dailyzaps.com/

(beehiiv)

Example Read

• 🤣 Kamala Harris Can't Explain A.I.

198. Parabolica - The AI x Growth Marketing Newsletter

Parabolica - The AI x Growth Marketing Newsletter

Enjoy weekly practical insights about AI and growth marketing. I drink from the AI news firehose so you don't have to! prev. growth @ Calm/Cash App

By Manson Chen

Example Read

• Parabolica #28 - The Scientific Method 🧪

199. A.I. Valley

https://www.theaivalley.com/

(beehiiv)

Example Read

• 🐶 Meta’s latest AI model is free for all

Hey Everyone,

This Newsletter is a new initiative you can sign up for free here. It’s intended for those who like to read articles about A.I. and click on stories. Though perfectly fine if reading headlines is your thing.

What can you expect? You can expect a lot of links categorized for you.

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💬Introduction for Today🎯

The tone of the week was OpenAI on the decline and Apple and x.AI on the hype incline. Not a very eventful week, but some important funding rounds. Also the ​future of media​ does ​not look good​.

"The goal of xAI is to understand the true nature of the universe. We will share more information over the next couple of weeks and months." - Elon Musk

​Apple is testing a ChatGPT-like AI chatbot​

Startup Cerebras Takes on Nvidia ​With AI Supercomputers​

​"AI is good for you" by Eric Jang​ - A book about the last 10 years and the next 10 years of artificial intelligence. [ ​Buy It​ - Amazon link ]

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📢Top News 📺

Meta - Llama 2: open source, ​free for research and commercial use​ (Official)

​Researchers Chart Alarming Decline in ChatGPT Response Quality​

Microsoft - Furthering our AI ambitions – ​Announcing Bing Chat Enterprise and Microsoft 365 Copilot pricing​ (Official)

China finalizes ​first-of-its-kind rules governing​

​Google Tests A.I. Tool That Is Able to Write News Articles​

FTC investigates OpenAI ​over data leak and ChatGPT’s inaccuracy​

🔗Partnership & Announcements🏭

Stability A.I. - Meet FreeWilly, Our Large And Mighty Instruction Fine-Tuned Models (Official)

Wix’s new tool ​can create entire websites from prompts​

Announcing LangSmith, ​a unified platform for debugging, testing, evaluating, and monitoring ​your LLM applications

MosaicML launches MPT-7B-8K, a 7B-parameter open-source LLM with 8k context length

​OpenAI will give local news millions to experiment with AI​

Scale AI is releasing its ​Scale LLM Engine to fine-tune​ open-source models

Snorkel AI and Together AI ​empower enterprises to build proprietary LLMs​

🎬Videos🎥

Yuval Noah Harari: Human Nature, Intelligence, Power, and Conspiracies | Lex Fridman Podcast [​link​] #390

The Most Likely Outcomes of an AI Future with Emad Mostaque Ep #55 [​link​]

The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI [​link​]

⚒️Novel Tools🔥

I omitted all minor A.I. tools in this issue. But if you like prompt-engineering basics, here's a ​nice beginner's guide​.

👾Hacker News📰

OpenAI's ​Custom Instructions​

🗳️ Weekly Poll 📊

Regarding ChatGPT, GPT-3.5 and GPT-4 degradation of quality (​controversial​).

​Answer the Poll​.

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📝 Papers 🗏

​How Is ChatGPT’s Behavior Changing over Time?​

Semantic-SAM: Segment and ​Recognize Anything at Any Granularity​

AnimateDiff: Animate Your ​Personalized Text-to-Image Diffusion Models without Specific Tuning​

Meta-Transformer: ​A Unified Framework for Multimodal Learning​ - (​Commentary​)

​Llama 2: Open Foundation and Fine-Tuned Chat Models​ (Technical Paper)

​Model Card and Evaluations for Claude Models​ (Claude 2 Technical Paper)

​Scaling Autoregressive Multi-Modal Models​: Pretraining and Instruction Tuning (CM3Leon)

Challenges and ​Applications of Large Language Models​ - (​Commentary​)

​Large language models encode​ clinical knowledge

​FlashAttention-2:​ Faster Attention with Better Parallelism and Work Partitioning

How Language ​Model Hallucinations Can Snowball​ (May)

Can LLMs Generate Random Numbers? ​Evaluating LLM Sampling in Controlled Domains​

​Secrets of RLHF in Large Language Models​ Part I: PPO

Copy ​Is All You Need​

📰Noted Newsletters📬

​Is GPT-4 getting worse over time?​

Navigating the AI Landscape: ​Market Trends and Opportunities For Startups​

​Can AI and ML Predict Depression?​

​Why Did Meta Open-Source Llama 2?​

Subscribe to this Newsletter if you like A.I. Papers:​ Top ML Papers of the Week​ (LinkedIn)

🤖 Robotics 🦿

​Neura Robotics picks up $55M to ramp up in cognitive robotics​

Intel Capital backs Figure’s Humanoid robot ​to the tune of $9 million​

Insanely athletic $1,600 ​robot dog gets GPT-powered conversation option​

🥼Healthcare🩺

ChatGPT aces medical exams, ​forcing a rethink on how we train tomorrow's doctors​

MLCommons launches a ​new platform to benchmark AI medical models​

AI can’t replicate ​this key part of practicing medicine​

New AI from Harvard predicts who is most at risk of pancreatic cancer

Preparation over panic: How a Boston hospital is priming medical residents for an era of AI medicine

Meet CancerGPT: An AI That Predicts the Results of Cancer Treatment Research

🧪 Science 🔬

Meta and Azure: The AI wars might have ​an armistice deal sooner than expected​

💰Stock Market & Investing🛒

This 'gamechanger' technology is harder than rocket science ​and will drive the next AI wave​

Apple just added ​$71 billion in market value​ on news it's developing an 'Apple GPT' AI

Microsoft will feast on $14 billion in new revenue every year if just 10% of Office users sign on for its A.I.-powered CoPilot—Macquarie report

So, that's the end of OpenAI's ChatGPT moat? Open-Source Llama-2 might be it

Critical chip firm ASML, caught in China export restrictions, posts 38% rise in profit

🚀 Startups 🧠

Cognaize raises $18M to ​build a better LLM for the finance sector​, one that keeps humans in the loop

Tractable ​snaps up $65M led by SoftBank​ for car and property damage appraisals using AI

Kitchen robot ​Botinkit raises $13M from DJI angel and others​

FedML raises $11.5M to combine MLOps tools with a decentralized AI compute network

CarePredict Receives $29M in Series A-3 Funding. Combining artificial intelligence, predictive analytics, and wearable devices.

💀AGI and ASI 👽🌋

​AI just wrote a bill ​to regulate itself

🎓 Education & Learning📚

Teaching ​Programming in the Age of ChatGPT​

Weeknotes: ​Self-hosted language models with LLM plugins​, a new Datasette tutorial, a dozen package releases, a dozen TILs

🎥Videos & Podcasts🎙️

State of GPT [​link​, replay]

AI Beyond OpenAI - ChinaTalk [​link​]

🎖️National Defense & Military🕊️

Failed to upload terminators.

🔮Future of Work & Automation🦾

Will workers be ​paid differently in the age of AI?​

AI will replace ​outsourced coders in India in 2 years​, Stability AI CEO says

​Google's Genesis project seeks​ to be journalists' AI-powered personal assistant

💸Venture Capital🦄

Conviction Embed - An ​accelerator for AI-native startups​ with a $150k grant and $400k+ in credits

Nvidia ​Accelerates AI Startup Investments, Nears Deal​ With Cloud Provider Lambda Labs

🐲 China A.I.🏯

China’s OpenAI challenger ​Zhipu AI gets Meituan funding​

​How Does China’s Approach ​To AI Regulation Differ From The US And EU?

Tech Leaders Warn the U.S. Military Is Falling Behind China on AI

🦹🏻‍♂️Dystopian 🗽

​How AI could perpetuate racism, sexism​ and other biases in society

Elon Musk says he told ​China's leaders that if a 'digital superintelligence' is created, it could take charge of the country​

US judge finds flaws in ​artists' lawsuit against AI companies​

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🏛Governance and Regulation⚖️

Biden will push for more AI authority

OpenAI loses its trust and safety leader

Exec tells first UN council meeting ​that big tech can’t be trusted to guarantee AI safety​ (Anthropic's Jack Clark)

AI Leaders Set to Accede to White House Demand ​for Safeguards​

​Moving AI governance ​forward (OpenAI)

AI Safety and Corporate Power – ​remarks given at the United Nations Security Council​

OpenAI doesn't ​want GPT-4 to be used for facial recognition​

EU data protection poses ​major challenges for OpenAI and ChatGPT​

​The $1 billion gamble to ensure​ AI doesn’t destroy humanity (Anthropic related)

💬Opinion Editorial🙄

How to Use AI to Do Stuff: ​An Opinionated Guide​

​AI & Internet’s Existential Crisis​

​I have zero respect for news​ and media organizations accepting money from OpenAI

🎭Entertainment & the Arts🎨

​Actors vs. AI:​ Strike brings focus to emerging use of advanced tech

People are making money ​pretending to be AI on TikTok.​ It's both confusing and fascinating. (laughs)

📊Infographics 📏

🌏Manifestations of Utopia🏙️

ChatGPT boosts ​productivity and quality for educated professionals​, MIT study finds

🌌Quantum Computing⚗️

Preparing For a Quantum Leap: ​Researchers Chart Future For Use of Quantum Computing in Particle Physics​

📣Public Relations💞

​ChatGPT goes to Harvard​

Microsoft brings ​Bing Chat to the enterprise​

Expedia adds new AI features to improve your travel planning

🙉Last Memes🎭

NYC subway using AI to track fare evasion

The end is near.