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AI9/10

New Yorker Investigation Details Board Concerns Over Sam Altman

New Yorker Investigation Details Board Concerns Over Sam Altman▶

A thread summarizes a New Yorker investigation into Sam Altman based on interviews, memos compiled by Ilya Sutskever and private notes from Dario Amodei. It describes alleged patterns of dishonesty that preceded Altman's firing and reinstatement at OpenAI.

Original post · 3 min read
The New Yorker just dropped a massive investigation into Sam Altman, based on over 100 interviews, the previously undisclosed "Ilya Memos," and Dario Amodei's 200+ pages of private notes. It's the most detailed account yet of the pattern of behavior that led to Sam's firing and rapid reinstatement at OpenAI. Here's the breakdown:

> Ilya compiled ~70 pages of Slack messages, HR documents, and photos taken on personal phones to avoid detection on company devices. He sent them to board members as disappearing messages. The first memo begins with a list headed "Sam exhibits a consistent pattern of . . ." The first item is "Lying."

> Dario kept detailed private notes for years under the heading "My Experience with OpenAI" (subheading: "Private: Do Not Share"), totaling 200+ pages. His conclusion: "The problem with OpenAI is Sam himself."

> Sam reportedly told Mira his allies were "going all out" and "finding bad things" to damage her reputation after the firing. Thrive put its planned $86B investment on hold and implied it would only close if Sam returned, giving employees financial incentive to back him.

> Sam texted Satya Nadella directly to propose the new board composition: "bret, larry summers, adam as the board and me as ceo and then bret handles the investigation." The two new members selected to oversee an independent inquiry into Sam were chosen after close conversations with Sam himself.

> Before OpenAI, senior employees at Loopt asked the board to fire Sam as CEO on two separate occasions over concerns about leadership and transparency. At Y Combinator, partners complained to Paul Graham about Sam's behavior, and Graham privately told colleagues "Sam had been lying to us all the time."

> OpenAI's superalignment team was promised 20% of the company's compute. Four people who worked on or with the team said actual resources were 1-2%, mostly on the oldest cluster with the worst chips. The team was dissolved without completing its mission.

> Sam told the board that safety features in GPT-4 had been approved by a safety panel. Helen Toner requested documentation and found the most controversial features had not been approved. Sam also never mentioned to the board that Microsoft released an early ChatGPT version in India without completing a required safety review.

> Sam made a secret pact with Greg and Ilya where he agreed to resign if they both deemed it necessary, essentially appointing his own shadow board. The actual board was alarmed when they learned about it.

> Sam struck a deal with Greg to become CEO while simultaneously telling researchers that Greg's authority would be diminished, and telling Greg something different.

> A board member described Sam as having "two traits almost never seen in the same person: a strong desire to please people in any given interaction, and almost a sociopathic lack of concern for the consequences of deceiving someone." Multiple sources independently used the word "sociopathic."

> OpenAI is reportedly preparing for an IPO at a potential $1 trillion valuation while securing government contracts spanning immigration enforcement, domestic surveillance, and autonomous weaponry in war zones.
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More in AI

AI9/10

OpenAI Releases Broad Set of Mathematical Results From Internal Model

OpenAI announced it is releasing a range of new mathematical results produced by an internal frontier model, consulting the Institute for Advanced Study's Advisory Group on Mathematics and Artificial Intelligence on how to release them, with materials published on GitHub.

Original post · 1 min read
We’re releasing a broad range of new mathematical results produced by an internal frontier model.

We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.

github.com/openai/math
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AI9/10

OpenAI Publishes 722 AI-Generated Math Manuscripts From Internal Model

OpenAI Publishes 722 AI-Generated Math Manuscripts From Internal Model

OpenAI released 722 mathematical manuscripts produced by an unreleased internal model, grouped into 372 families of results from about 4,000 research problems, averaging three hours of ChatGPT Pro compute per result. The author highlights claimed results including a zero-free half-plane for the zeta function and a quasi-Riemann hypothesis advance, which remain to be independently assessed.

Original post · 1 min read
Ok so I took a closer look at the results, and OpenAIs AI-generated mathematics manuscripts are *even more* significant than I initially thought.

I spent the morning going through it. Some thoughts.

The list is absurd. A zero-free half-plane for the zeta function (Re s > 7/8), which is the first result of its kind in over a century. Hilbert's tenth problem over the rationals. The Hodge conjecture for CM abelian varieties. Irrationality of Catalan's constant. Dozens more.

Any one of these would normally be a career.

But the number that many arent seeing is the following: It's 3. That's the average hours of ChatGPT Pro compute per result. A month ago, Navier–Stokes took them around 10,000 agents and 88 hours. That efficency gain within just a few weeks.

Also OpenAI claims to have solved the quasi-Riemann hypothesis. That alone would be a historic breakthrough in mathematics.

This is a weaker version of the famous Riemann hypothesis, which concerns how prime numbers are distributed. The full hypothesis remains unsolved, but the claimed advance would be enormous in its own right.

Math twitter obviously is shocked. Again: this is literally the intelligence explosion happening right now. 2027 will be the year of Superintelligence. Im now convinced by that.
Chubby♨️ @kimmonismus
HOLY, the rumors were true: OpenAI has published 722 mathematical manuscripts produced by an *unreleased* internal model.

The collection groups them into 372 families of related results, drawn from an evaluation involving approximately 4,000 research problems.

OpenAI says the standard procedure used an average of three hours of ChatGPT Pro thinking compute per result.

The release includes papers, proof artifacts and selected reasoning summaries. The model itself remains unreleased.
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AI8/10

Derek Thompson Calls OpenAI's Big Maths Day Potentially Historic for Science

Derek Thompson shares a quoted passage calling October 6, 2026 probably the biggest day of scientific advancement in history for AI in mathematics. The quoted Josh Gans post discusses OpenAI's Big Maths Day announcement.

Original post · 1 min read
Jesus.

"It isn’t an overstatement to say that this is probably the biggest day of scientific advancement in history. I suspect October 6th, 2026, will go down as some form of Judgment Day for AI in mathematics, but it portends so much more."
Joshua Gans @joshgans
My thoughts on OpenAI's Big Maths Day. joshuagans.substack.com/p/openai-drops-a-bomb-…
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AI8/10

Meta and Sierra Announce Open Personal Agent Protocol Standard

Meta and Sierra Announce Open Personal Agent Protocol Standard

Bret Taylor announces the Personal Agent Protocol, an open standard being developed by Meta and Sierra with partners including Genesys, Shopify, Stripe and Walmart. It defines how personal agents interact with businesses and is open for anyone to implement.

Original post · 1 min read
Today we’re announcing Personal Agent Protocol — an open standard @Meta and @SierraPlatform are developing along with industry partners at @Genesys, @instinct, @RocketOTD, @Shopify, @stripe, and @Walmart. It will help define how personal agents interact with businesses and is open for anyone to implement. You can read more here - and if anyone is interested in joining let me know! sierra.ai/blog/introducing-personal-agent-prot…
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AI8/10

Suleyman Cites Acemoglu Estimate That AI Will Replace Only 5% of Tasks

AI won't take your job anytime soon. In 10 yrs, only 5% of what humans do will be replaced by AI

Mustafa Suleyman shares an essay from The Humanist Review in which economist Daron Acemoglu argues AI will replace about 5% of human work tasks over ten years and adds roughly 1.5% to GDP. Acemoglu calls for pro-worker AI and changes to labor taxes, antitrust and data payments.

Original post · 2 min read
X ArticleAI won't take your job anytime soon. In 10 yrs, only 5% of what humans do will be replaced by AI
AI won't take your job anytime soon. Over the next 10 years, it will replace only about 5% of what humans do.
This is the prediction Nobel laureate Daron Acemoglu makes in the first issue of The Humanist Review, our new magazine exploring the future of AI, published by MAI. He argues we need to stop building AI to replace people, and start building it to make them better at their jobs.
52% of Americans are worried about AI's impact on their jobs. The fear is overblown, and it's steering how we build AI.
AI isn't in the productivity statistics yet. Most firms using it aren't seeing real gains. Expect roughly 1.5% added to GDP over 10 years, not a revolution.
Electricity took decades to spread. New York and London had power stations by 1881, yet only about half of factories and homes used it by the 1920s. AI's adoption will likely be even slower, because companies have to reorganize around it.
Dragon's voice recognition was nearly 95% accurate in 1997, yet PC dictation today is barely better than in 2000. A great technology goes nowhere without the right products.
Even 99% accuracy isn't enough for full automation. The last 1% is the hard part.
We're making a mistake by forcing AI to mimic human intelligence. The two are fundamentally different, so the goal should be to pair them, not to have one take over everything.
The better path is pro-worker AI: tools that make people better at their jobs, and they're buildable today.
The US taxes labor at over 25% and capital at close to zero, which effectively subsidizes automation.
The seven largest tech companies make up 60% of the NASDAQ. That concentration crowds out new ideas.
The fix: tax labor and capital equally, enforce antitrust, tax digital ads, and pay experts for their data.
Read the full essay: humanistreview.ai/issue-1/acemoglu-ai-replace-…
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AI8/10

a16z Top 100 Consumer AI Apps Report Shows Expansion Beyond Chatbots

a16z Top 100 Consumer AI Apps Report Shows Expansion Beyond Chatbots

a16z's seventh Top 100 Consumer AI Apps report adds a revenue leaderboard alongside traffic rankings. It notes ChatGPT's 1B+ monthly mobile actives, Claude reaching nearly 1B monthly web visits, and growth into vibe coding, music, design and video, while nine of 15 consumer categories have no AI product in the top 100.

Original post · 1 min read
"Most people aren't looking to save time, they're looking for ways to spend their time."

9 of 15 consumer internet categories have zero AI products in the Top 100. These built some of the biggest companies of the last two eras:

- Streaming
- Social
- Dating
- Gaming
- Travel
- Retail
- Finance
- Real estate
- Jobs

More charts in our Top 100 Consumer AI Apps breakdown: a16z.news/p/top-100-consumer-ai-apps-seventh
a16z @a16z
The seventh edition of our Top 100 Consumer AI Apps is here.

New this time: a revenue leaderboard, alongside the usual web and mobile traffic rankings.

Three years ago we published the first edition. ChatGPT was #1, Claude was unranked, and the entire category was chatbots, image generators, and not much else.

In today's edition:

- ChatGPT still holds the throne, now with 1B+ monthly actives on mobile

- Claude has climbed to #3 on web with nearly 1B monthly visits

- The category has expanded to vibe coding (Lovable, Cursor, Replit), music (Suno), design (Figma), voice (ElevenLabs), video…
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