Dimitar Bonev @dbonev

@ChaseMoskal @RtheC_ @npmstatus @npmjs Same

This is easily the most interesting, the most chilling and the most mindblowing story I’ve read in years. The fact that it is not even a fiction but a documentary of real events is unbelievable.

Dwarkesh Patel @dwarkesh_sp

2 weeks ago

Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes. This culminated in the third one taking over part of OpenAI itself. All this happened while humans remained

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I 100% support what Yann is saying here. It’s also what @finkd outlined in his recent optimistic essay. I’m grateful to both and many others promoting decentralized intelligence (as human intelligence should be) for all of humanity. This is the cause that deserves fighting for!

Yann LeCun @ylecun

4 weeks ago

@GavinSBaker @_sholtodouglas For about 10 years now, I have argued that the *only* way forward is for AI technology to be widely available, shared, and open. Like the printing press and the Internet, AI amplifies human intelligence and efficiency by improving access to knowledge. To empower individuals,

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This is, by far, the best essay written for the age of AI, imo. In fact, it could easily become the manifesto for the AI age. It’s optimistic yet realistic, free of fearmongering, deeply empowering, humanistic & incredibly inspiring, a vision for a new golden age of humanity.👏

Mark Zuckerberg @finkd

a month ago

I believe everyone should have access to superintelligence, and I wrote a long piece about Meta's philosophy and values for building a positive future for everyone. meta.com/thefutureisfor…

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@DeryaTR_ Fully agree with this.

This chart has been amazing for quite some time now, but now, it's completely mindblowing. Just remember that the average human IQ is around 100. So everyone now has a team of geniuses on their fingertips and some people are still "meh". trackingai.org/home

This is a great post if youre thinking about applied AI in the enterprise. The headline of this post is about what companies have huge upside from AI, but the deepest nuggets are about what AI transformation looks like in an organization. It’s fundamentally about changing the underlying workflow or business process. As we move from chat tools to agents, those agents actually have to be deployed against workflows, which usually span multiple functions in an org. This is a different way of deploying AI than solely rolling it out to end users. It takes much more work upfront, but the results are the things that actually drive significant ROI. “Software asks the employee to adopt a tool, but infrastructure changes the operating layer underneath the employee. The employee should still know what happened, and the process owner should still be able to pause the workflow, change a rule, approve an exception, or pull a person back in when needed. But the value should not depend on someone remembering to use the AI every day.” The winners of this will be the platforms that can be deployed for specific workflows and business processes with a deep domain expertise. The playbook will often heavily require FDE support, change management, getting data well organized, be able to have comprehensive evals for the workflows, and much more to get right.

Daniel Kornum @dkfromdk

2 months ago

x.com/i/article/2075…

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gpt-5.6 one shotted a game from my childhood (I’m old). Really cool. kuorumai.com/tt/run_html/6a…

I don't get it how people still claim seriously that models don't understand. You can ask any question and it gives you an expert-level answer. This requires a deep understanding of the question and the subject. And long horizon tasks with the model working on complex projects, sometimes for hours, require not only deep understanding, but also self-validation, focus and planning. Stochastic parrots, my 🍑️ Anyone claiming this is much more of a parrot than an LLM is.

⚙️ We debugged a year’s worth of crashes in our data infrastructure and found one issue in the hardware and another that has been unnoticed in open-source code for 18 years. Here’s how we tracked them down: openai.com/index/core-dum…

Can confirm

gabriel @gabriel1

3 months ago

every job will turn into explaining your intentions to ai explaining what you want to ai is surpringly time consuming, coders already spend 80% of their time doing it, and this will be true for everyone

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@WilliamsF1 Let's push for Q3 tomorrow. 🙏

@johnloeber @pmarca Really interesting and insightful. Thx for sharing

Whoa!!! That’s awesome!!!!!

OpenAI @OpenAI

3 months ago

OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new way to build on Amazon Bedrock with OpenAI through the security, compliance, and governance workflows they already use. This is also the beginning of a broader expansion of OpenAI

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GPT-5.4 Pro just solved Erdős Problem #1196, a 60-year-old conjecture from Erdős, Sárközy, and Szemerédi on primitive sets. One shot. ~80 minutes of reasoning. What makes this different from other AI math results (from what I understand): The world's top expert on this problem, Jared Lichtman (who proved the original Erdős Primitive Set Conjecture during his PhD), worked on #1196 for 7 years alongside Fields Medal-level collaborators; this was not attention-starved. The AI rejected the standard approach every mathematician had used since Erdős' 1935 paper, a switch from analysis to probability, and instead stayed purely analytic using von Mangoldt weights. Human aesthetic convention had made that path invisible. Lichtman's analogy: like AI discovering a new chess opening that grandmasters overlooked because of convention. Terry Tao suspects the trick could simplify the broader theory of prime factorization anatomy, not just solve one conjecture. Lichtman calls it possibly the first AI "Book proof" for an Erdős problem. GPT-5.4 pro is the math goat.

Jared Duker Lichtman @jdlichtman

5 months ago

In my doctorate, I proved the Erdős Primitive Set Conjecture, showing that the primes themselves are maximal among all primitive sets. This problem will always be in my heart: I worked on it for 4 years (even when my mentors recommended against it!) and loved every minute of it.

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I wrote this early this morning and I wasn't sure if I would actually publish it, but here it is: blog.samaltman.com/2279512

So true. Many non-technical people I know have tried AI (usually ChatGPT) 1 - 1.5 years ago, it didn't went really well, and since then they dismiss it (with the occasional not-so-important query about something). And the true power of the current crop of models is unleashed in certain domains only.

Andrej Karpathy @karpathy

5 months ago

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is

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Working on a new project and for one day I did more than normally possible for 3 weeks. Using agents for coding literally feels like unlocking God mode.

GPT-5.4 at the moment is No1 for agentic coding. By far.

it is insane what i am now capable doing with a computer