Steve 💙

@mikebagblaster @steipete This is so rude. Come on, you should be bigger than that.

@steipete yeah that was one of my partners decision, not mine. their angle was purely a marketing decision- your code sucks and the product is mediocre, but it got astroturfed to high hell and got traction because of that

I was wondering why the OpenClaw repo got so large, turns out the CHANGELOG md file takes up almost 500MB through all packfiles.

@adonis__simo @iamsupersocks À voir comment ça change mon workflow

@iamsupersocks @nossesteve

Anthropic vient probablement de signer la fin de l’âge d’or Claude Code en OAuth. Officiellement : à partir du 15 juin, les plans payants Claude auront un crédit mensuel dédié à l’usage programmatique. Traduction : l’usage agentique sort du buffet illimité Si un x20 donnait jusqu’ici l’équivalent de plusieurs milliers de dollars API, et que le nouveau crédit tourne autour de quelques centaines, ce n’est pas un ajustement. C’est un changement de régime. C’était prévisible : les agents consomment comme de l’infra, pas comme du chat. MiniMax et d’autres labs ont déjà montré que le coût token finit toujours par revenir. Pour les builders, la fenêtre est claire : jusqu’à mi-juin, on build en externe. Après, on optimise, on route, on maintient si on veut continuer avec Claude. Claude restera performant, mais il risque de devenir davantage un modèle premium ponctuel plutôt qu’un moteur dédié aux agents en continu en dehors de l’écosystème Claude (et cette période privilégiée touchera peut-être bientôt à sa fin). On rappelle qu’un plan Max en x20 donne l’équivalent de 3 000 $ en crédits API via Claude Code et jusqu'à peu via Openclaw/hermès. Pour cet usage il reste OpenAI tant que l’offre OAuth/Codex reste généreuse. En mai, on peut dire que Claude reste très fort mais n'est probablement plus le moteur agentique par défaut.

dart.dev/language/prima… Primary constructors in Dart say whaaat 🔥

@Hyasenthe_ Arrête je vais rougir

Gars... J'ai des amis tellement smarts. C'est logique qu'on ait les mêmes délires, la même vitesse de pensée...

@izzy_glen23 @Hyasenthe_

F$ck it. This is how I’m building Trashify Trashify has 3 Apps (actually 4) I am building 2 first (actually 3 😹). Trashify (Green): For people who want their trash collected Trashify Go (Orange) + Go Admin (Blue): Go is for For KYC verified trash collectors. They will get paid for picking up trash. And Go Admins will manage the collectors around their vicinity. Just the conception and architecture alone was hell. It took 5 Months and Development has taken 1 month so far. First I’m focusing on our CVP which is “an easy system of trash pickup, navigation and trash drop off”. Everything else is built around this. We have a robust map module now that fulfills that core flow with - Location Searching and Saving - Map tap and marker placement - Live Location tracking - Satellite View - Street View - Route Drawing Between two locations - Turn by Turn navigation - Light and Dark Modes (Showcased Below) NB: This is just the map oh. The system itself needs kyc management, wallets and escrow, trash collection logic etc etc. Still a long way to go. But we’ve gone a long way already. When will Trashify will be ready? By June or July (cause I nova yet finish backend ooohh😭) When will Trashify be released in your town? Well that depends on our partnerships with the council of your town (which are currently in negotiations). What can you do? Retweet and share to spread awareness or something I’m sure everything will go well. Thank you bye 🙂‍↕️ #trashify #wastemanagement

@adonis__simo @LottoLabs Très intéressant !!

@LottoLabs @nossesteve

Update on Opencode Go It’s great value for $5/month, there’s really no reason not to do the first month. At $10/month it’s still good value and gets you access to all sota OS models. You can’t daily drive it without hitting limits on the big models but w/ Kimi x3 you won’t hit limits unless you’re insane. Overall highly recommend the first month, then make your own decision.

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

Yann LeCun was right the entire time. And generative AI might be a dead end. For the last three years, the entire industry has been obsessed with building bigger LLMs. Trillions of parameters. Billions in compute. The theory was simple: if you make the model big enough, it will eventually understand how the world works. Yann LeCun said that was stupid. He argued that generative AI is fundamentally inefficient. When an AI predicts the next word, or generates the next pixel, it wastes massive amounts of compute on surface-level details. It memorizes patterns instead of learning the actual physics of reality. He proposed a different path: JEPA (Joint-Embedding Predictive Architecture). Instead of forcing the AI to paint the world pixel by pixel, JEPA forces it to predict abstract concepts. It predicts what happens next in a compressed "thought space." But for years, JEPA had a fatal flaw. It suffered from "representation collapse." Because the AI was allowed to simplify reality, it would cheat. It would simplify everything so much that a dog, a car, and a human all looked identical. It learned nothing. To fix it, engineers had to use insanely complex hacks, frozen encoders, and massive compute overheads. Until today. Researchers just dropped a paper called "LeWorldModel" (LeWM). They completely solved the collapse problem. They replaced the complex engineering hacks with a single, elegant mathematical regularizer. It forces the AI's internal "thoughts" into a perfect Gaussian distribution. The AI can no longer cheat. It is forced to understand the physical structure of reality to make its predictions. The results completely rewrite the economics of AI. LeWM didn't need a massive, centralized supercomputer. It has just 15 million parameters. It trains on a single, standard GPU in a few hours. Yet it plans 48x faster than massive foundation world models. It intrinsically understands physics. It instantly detects impossible events. We spent billions trying to force massive server farms to memorize the internet. Now, a tiny model running locally on a single graphics card is actually learning how the real world works.

Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward 🔸 MiMo-V2.5-Pro, our strongest model yet. A major leap from MiMo-V2-Pro in general agentic capabilities, complex software engineering, and long-horizon tasks, now matching frontier models like Claude Opus 4.6 and GPT-5.4 across most benchmarks (SWE-bench Pro 57.2, Claw-Eval 63.8, τ3-Bench 72.9). It can autonomously complete professional tasks involving 1,000+ tool calls, work that would take human experts days. Tech Blog: mimo.xiaomi.com/blog/mimo-v2.5… 🔸 MiMo-V2.5, native omnimodal with strong agentic capabilities. Pro-level agent performance at roughly half the cost. Improved multimodal perception across image and video understanding, native 1M-token context window, and significantly more efficient inference. Tech Blog: mimo.xiaomi.com/blog/mimo-v2.5 🔗 API & Token Plan: platform.xiaomimimo.com/token-plan

🚀 Meet Qwen3.6-27B, our latest dense, open-source model, packing flagship-level coding power! Yes, 27B, and Qwen3.6-27B punches way above its weight. 👇 What's new: 🧠 Outstanding agentic coding — surpasses Qwen3.5-397B-A17B across all major coding benchmarks 💡 Strong reasoning across text & multimodal tasks 🔄 Supports thinking & non-thinking modes ✅ Apache 2.0 — fully open, fully yours Smaller model. Bigger results. Community's favorite. ❤️ We can't wait to see what you build with Qwen3.6-27B! 👀 🔗👇 Blog: qwen.ai/blog?id=qwen3.… Qwen Studio: chat.qwen.ai/?models=qwen3.… Github: github.com/QwenLM/Qwen3.6 Hugging Face: huggingface.co/Qwen/Qwen3.6-2… huggingface.co/Qwen/Qwen3.6-2… ModelScope: modelscope.cn/models/Qwen/Qw… modelscope.cn/models/Qwen/Qw…

@ClaudeDevs A single run and you are out of tokens

New in Claude Code: /ultrareview (research preview) runs a fleet of bug-hunting agents in the cloud. Findings land in the CLI or Desktop automatically. Run it before merging critical changes—auth, data migrations, etc. Pro and Max users get 3 free reviews through 5/5.

@ThomasBurkhartB @claudeai @bcherny I've had this kind of experience too lately. Limits are now reached too soon

This is really no fun anymore 98% weekly limit on @claudeai Max after 4 days with majority Sonnet usage @bcherny this needs to be fixed

We prototyped a Flutter-specific app size analyzer. If there's interest, it wouldn't be hard to ship.

@_eseidel Where should be sign ? 😆

@xoaanya Who mandated Claude ? Of course I can 😭🤣

Can you put a project on your resume if Claude wrote 90% of it?

I just published builderswave.com Platforms like ProductHunt and TinyLaunch are flooded. If you are a building from our communities here, your launch is invisible. Builderswave is a new discovery directory to highlight the products being built right here in our ecosystem. Submit your product today. Let's get you some traffic.

The quotas on Antigravity were driving me crazy, so I just canceled my subscription. I'm going back to Claude Code.

i've distilled everything i've written on userinterface.wiki into a single skill file. 119 rules across 11 categories across animations, timings, ux laws, typography, audio, and more. npx skills add raphaelsalaja/userinterface-wiki

@audrey_kemamen @yopafabrice @Stychfr Massa

@nossesteve @yopafabrice @Stychfr Tu n'as pas les mêmes arguments que moi mon bae

Ne faites jamais votre permis avec @Stychfr . Ce sont des arnaqueurs. Aucun numéro de téléphone pour le service client, et ils ne répondent pas aux e-mails.

@audrey_kemamen @yopafabrice @Stychfr De la discrimination pure et simple

@nossesteve @yopafabrice @Stychfr Tu as eu la pire expérience😹 quand j'y pense c'est fou comment on te maltraitait au même moment où on me mettait bien😹😭