Chubby♨️

Andrej Karpathy’s point: Many people only use AI occasionally for search or writing and see little value in their daily lives. Even many professionals understand its progress mainly in theory. People using advanced models extensively for coding and math experience huge capability gains, widening the gap in how people perceive AI. And this impression has been confirmed here in Paris during my trip. When I talk to people, I realize they're completely unaware of how capable AI already is. They're unaware of the possibilities it offers. They haven't heard that OpenAI solved a Millennium Prize problem, or recently solved 372 math problems, some of which had remained unsolved for decades. Currently, we're living in an ivory tower.

As a European, I don't have access to OpenAI's dot anyway, but: somehow nobody's talking about it. My entire "for you" page is empty. It seems like nobody's really excited about it. Or is that just how it appears?

The bad news about OpenAI just keeps coming.

so even WhatsApp knows about the controversy over undisclosed promotion of Kimi’s K3.1 Pro model. Embarrassing for Kimi.

Fourteen hours is all it takes to change someone like Tibo's views. Burn you rates asap, codex reset incoming!

Nvm, used my VPN. gonna try it out myself.

Mythos 5.5 is already listed HTML source code of Anthropic's official website Thanks to the anonymous person who sent me the tip via email :)

To give you an idea of ​​just how backward the German media landscape is when it comes to AI, consider the three main topics featured in Monday’s *Frankfurter Allgemeine Zeitung*, arguably Germany’s most significant daily newspaper. Topic 1: AI "frontier labs" are anti-democratic and dominate the public sphere; this, it is argued, cannot be allowed to continue. Topic 2: Meta is updating its terms of service and allegedly stealing from journalists, in short: AI labs are wicked thieves. Topic 3: A neuroscientist claims that social networks harm children and, consequently (!), calls for a decoupling from Silicon Valley. It’s completely absurd. Europe has lost.

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.

Another reason why local AI is absolutely necessary.

5 hour limit gone for $200 “ultra” Claude tier. Anthropic is on a run. Super cool.

Huge update for Codex and GPT-6.1 Sol: the context window has increased from 272K to 500K tokens. Compaction works pretty well in my experience, but it takes a long time and interrupts the workflow. So I really like this change! Much better than another reset.