Joanfihu

@Luke_Flyswatter @ylecun They win at making money. The loose at enjoying life.

@ylecun Americans have their own unique definition of winning I think.

Tired of winning

Romulus and Remus | The Legendary Founding of Rome | Short Movie

@agibyfriday @craigzLiszt Meta has consumer distribution

@craigzLiszt I doubt it. OAI has a massive head start, incredible retention numbers and unbeatable name recognition. Matching the current generation of Chat GPT won’t be enough to woo existing users

meta ai might actually win at consumer ai

@bcherny @tengyanAI I do remember seeing that dialog message so users were told

This is false. We defaulted to medium as a result of user feedback about Claude using too many tokens. When we made the change, we (1) included it in the changelog and (2) showed a dialog when you opened Claude Code so you could choose to opt out. Literally nothing sneaky about it — this was us addressing user feedback in an obvious and explicit way.

basically: anthropic sneakily turned down how hard claude thinks before editing code, changed the default from "high" to "medium" effort, and hid the reasoning from session logs. all without telling users. an amd director had 7k sessions of telemetry to prove the degradation was real and measurable (not just vibes). anthropic admitted to the changes. there's a workaround (use "/effort max"). the uncomfortable part is most users had no data to notice it happened at all.

@chrysb Nice writeup

@justalexoki Gemini is benchmark maxxing for sure.

there is simply no way that gemini is better than any of these models. it's the most retarded one of them all, by far

@KentonVarda You have to enable the connectors for this to work

How is Google so far behind on agentic AI? This is the Gemini sidebar *embedded inside gmail*.

@a16z It’s equally hard. The bar is higher now. It’s the same step function compilers, frameworks, etc did.

Marc Andreessen: Software isn't precious anymore. In this new world, high quality software is infinitely available. "We've always lived in a world in which software is this precious thing that you have to think about very carefully." "It was really hard to generate good software, and there was only a small number of people who could do it." "Those days are just over." "If you need new software to do X, Y, or Z, you're just going to wave your hand and get it." "Things that used to be hard, or even seem like an insurmountable mountain to get through, all of a sudden, I think, become very easy." @pmarca with @latentspacepod

Introducing Gemma 4, our series of open weight (Apache 2.0 licensed) models, which are byte for byte the most capable open models in the world! Gemma 4 is build to run on your hardware: phones, laptops, and desktops. Frontier intelligence with a 26B MOE and a 31B Dense model!

@OfficialLoganK Thanks for sharing Gemma! It’s super fun to build with it

This is just the start of the Gemma 4 era : ) Download Gemma 4 on Kaggle: kaggle.com/models/google/… And read more in our blog: blog.google/innovation-and…

Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵

@ylecun @abursuc @ClementDelangue @atreides_sf All Open Models distill from closed models via their APIs

@ClementDelangue @atreides_sf Let's be real, all closed models profit from open models WITHOUT GIVING BACK.

well let's be real, open model SOTA was distilled from claude

Introducing Hyperagents: an AI system that not only improves at solving tasks, but also improves how it improves itself. The Darwin Gödel Machine (DGM) demonstrated that open-ended self-improvement is possible by iteratively generating and evaluating improved agents, yet it relies on a key assumption: that improvements in task performance (e.g., coding ability) translate into improvements in the self-improvement process itself. This alignment holds in coding, where both evaluation and modification are expressed in the same domain, but breaks down more generally. As a result, prior systems remain constrained by fixed, handcrafted meta-level procedures that do not themselves evolve. We introduce Hyperagents – self-referential agents that can modify both their task-solving behavior and the process that generates future improvements. This enables what we call metacognitive self-modification: learning not just to perform better, but to improve at improving. We instantiate this framework as DGM-Hyperagents (DGM-H), an extension of the DGM in which both task-solving behavior and the self-improvement procedure are editable and subject to evolution. Across diverse domains (coding, paper review, robotics reward design, and Olympiad-level math solution grading), hyperagents enable continuous performance improvements over time and outperform baselines without self-improvement or open-ended exploration, as well as prior self-improving systems (including DGM). DGM-H also improves the process by which new agents are generated (e.g. persistent memory, performance tracking), and these meta-level improvements transfer across domains and accumulate across runs. This work was done during my internship at Meta (@AIatMeta), in collaboration with Bingchen Zhao (@BingchenZhao), Wannan Yang (@winnieyangwn), Jakob Foerster (@j_foerst), Jeff Clune (@jeffclune), Minqi Jiang (@MinqiJiang), Sam Devlin (@smdvln), and Tatiana Shavrina (@rybolos).

@nxthompson Google is fundamentally broken. It should be top of the chart by a large margin

Wild. Reddit and LinkedIn account for almost a quarter of all citations from the top LLMs.

@apples_jimmy I kind of like Composer. It's fast and most of the tasks I do don't need AGI

Apparently Cursor is going to release a coding model better than opus 4.6 and cheaper as well ( maybe tomorrow ) Can they regularly do this to keep up though ?

@Yuchenj_UW 🤣🤣🤣

Some people at frontier AI labs told me they believe startups are over. OpenAI, Anthropic, Google, xAI will absorb every industry as AGI nears. Coding today, science, medicine, and finance next. Then everything else. If they’re right, that’s a pretty boring end of the world.

@eastdakota @bgurley but open AI has 8:1 more RLHF data

@bgurley Bill’s biases not withstanding: Google wins because it sees 3.5x+ the data that OpenAI does.

I’m really questioning the quality of ChatGpt now. Gemini clearly smarter. 🐊🐊🐊🏀🏀🏀

@WSJ Consumer is the hardest battleground

Exclusive: OpenAI’s top executives are finalizing plans for a major strategy shift to refocus the company around coding and business users on.wsj.com/3N6CFyr