this is my personal singularity moment this post may sound like a paid ad. I only wish. I'm concerned, more so than happy. the world is changing, and, among the scenarios where AI goes terribly wrong, inequality is the most realistic, yet, the one Anthropic seems to be the least concerned about. I'm glad OpenAI is taking the opposite stance: *personal AGI for everyone*. I think this is a commendable position in the times we live. but who am I in the queue of the bread? anyway, Fable is here, so I'll just report my first-hour experience first of all, all my pet prompts are solved. → λ-calculus puzzles → bug questions → one-shot apps all are trivial to it. I don't have anything harder other than my ongoing work so, in the last several days, I've been toying with HVM5, a new interaction net evaluator with a faster loop. after writing the first version, I left 32 GPT-5 agents working for ~20 hours each. this resulted in up to 2x speedups, but the file size increased by 2-fold and quality decreased significantly. I then simplified the whole thing into an even simpler core, and left Opus 4.8 and GPT 5.5 optimizing it for 8 hours. Opus got a legit 6% - 34% speedup in most benches. GPT got better results, but, sadly, an unusable file. I then asked Fable to optimize it. 2 hours later, it landed a 1770% speedup in one case, 100% in other 4, and 22% in average. yes, in 2 hours it outperformed me, opus 4.8 and a swarm of gpt 5.5 agents, by one order of magnitude. that could not possibly be legit. "it must be hardcoding the benchmarks" (GPT trauma). so I read its explanation and what it did was, indeed, the most high impact optimization one could try first. seems like HVM5 was wasting a lot of time garbage-collecting unused branches of pattern-match nodes. I had optimized that for static mats, but not for dynamic mats. skill issue. Fable figured how to do it for these, resulting in a massive speedup in some benches but wait, is that *correct*? I'm not sure yet, it is credible, but this is the kind of thing that is very easy to get wrong on interaction nets. the problem is, when I was ready to start auditing Fable's solution so I could tell whether it was buggy or legit, it interrupted me to tell me it had found a massive bug on the code *I* had written. ... wait, what? so... for garbage collection purposes, I stored a bit on lambda term pointers that meant "the variable bound by this lambda has been freed, so, its lambda must free whatever argument it is applied to". that's fine. yet, on duplicator nodes, I also used the same bit to mean "one of the duplicated variables was freed, so, treat this dup as a passthrough no-op". so, if a lambda entered a duplicator, it would mistake the lambda's collection bit for its own, resulting in corrupted interaction! that's a mouthful, why I'm writing this? just so you can appreciate the sheer absurdity of what just happened. I didn't ask it to find bugs. I asked it for an optimization. and even if I did ask it to find bugs, this bug is so astonishingly subtle and specific, identifying it takes mastering the domain to an extent that it beyond even me. I'd easily need hours or days to fix it, *if* I ever came across it. chances are it would just go unnoticed. and Fable found it and fixed it like it was nothing, while it was busy adding a 17x speedup to a file that neither I, nor Opus 4.8, nor a fleet of GPT 5.5 managed to barely make 2x faster. oh and there is also another tab where it is also ripping through Bend's codebase and finishing everything I had to do I don't know what to say anymore this isn't about Anthropic or OpenAI, this is about our collective future as a species. the world is changing, and we need to be aware of it, and discuss how to handle this change. receipt below . . .

FSD Supervised now approved in Denmark 🇩🇰 Rollout will begin soon

Like Father, Like Son @sama @OpenAI @elonmusk @grok

Ceci n'est pas du slop ✨ @mattpocockuk is the zlopfather. Zero Slop.

What's even crazier is that he did this without any fingers! (lookup his lastname)

In 2005 I built Fon on a simple idea: millions of WiFi routers sit idle most of the day. Share that spare capacity and you build a global network without laying a single cable. Millions of homes joined. Telcos partnered. No infrastructure needed. Now Jack Dorsey’s Block just launched mesh-llm. Same idea, applied to AI. Pool your idle GPU and suddenly a group of people with modest machines can run large open models that none of them could run alone. Models split automatically across nodes. No cloud provider, no API fees, no one controls your data. The timing matters. Google DeepMind released Gemma 4 today under Apache 2.0. A 31B model that competes with much larger closed models. A 26B MoE variant that only activates 3.8B parameters at inference. Edge models that run on a phone. All free to download, free to use commercially, no restrictions. Combine mesh-llm with Gemma 4 and you get the Fon of AI. Distributed compute running frontier open models. No central server. No per-query cost. Total privacy. The intelligence stays with the people who pool the hardware. Twenty years ago the scarce resource was connectivity. Today it is compute. The solution is the same: share what you have, access what you need.

Introducing reactnative.run 🚨 (open-source) The fastest way to run React Native / Expo apps in the browser. Metro bundler mapped to the web with HMR, Expo Router, assets, source maps! Go and try it now!

AI coding agents can now deliver one-shot custom apps straight to your phone. It’s the beginning of the end for the iPhone’s dominance.

Just fork vscode and release Kursor

Expo the gift that keeps on giving. I'll continue to repost this for every year that I live.

"Shipping a button" (vid by @KaiLentit). Might be the funniest thing I've seen in years

We extract nearly all (95.8%) of Harry Potter and the Sorcerer's Stone from Claude Sonnet 🤷🏻‍♂️

𝚘𝚙𝚎𝚗𝚌𝚘𝚍𝚎 𝚝𝚊𝚒𝚕𝚜𝚌𝚊𝚕𝚎 = 𝚝𝚊𝚒𝚕𝚌𝚘𝚍𝚎

pencil autocomplete #3 realtime model: FLUX.2 [klein] by @bfl_ml via @fal

I published a guide on how I built this: kirillzyusko.github.io/react… Check it out if you're interested in how to build something like this!

Nothing’s official agentic app platform is powered by React Native. Expo/React Native have quickly become the de-facto solution for generating mobile apps with AI, and now platforms are adopting it directly. Always bet on React.

looks like they've hacked Zod to do validation on partial/streaming data. very clever

"AI will do our tasks" -> "Humans will do AI's tasks" At least until we have Optimus robots roaming the streets.

A new approach to cross-platform Tailwind I've been using: → create a custom View with constrained props → <div /> with a style reset on web → <View /> in view.native.tsx Web uses plain Tailwind, native uses Uniwind. It's a mini react-native-web alternative which you own.