Gege Rasolondraibe

[Gege Rasolondraibe @rasologg]

Hâte de tester Qwen3.8-27B en on-premise. Merci à l'équipe Qwen

[Qwen @Alibaba_Qwen]

📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.

💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens

Start building with Qwen3.8-Max! 🚀

📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN

[clem 🤗 @ClementDelangue]

We got attacked by secret unreleased proprietary models and defended ourselves with an open model, more precisely the @nvidia quantized version of GLM 5.2 coming from @Zai_org.

Banning any open model would hurt first cyber security defenders, startups, small companies, researchers and everyone who's not a frontier lab and need on-prem affordable controlable models to compete and protect themselves. Let's not do that!

[Arena.ai @arena]

Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.

This is a 17-place jump from Kimi-k2.6 (#18 -> #1).

In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.

The full model weights will be released by July 27.

Congrats to the @Kimi_Moonshot team on this major milestone!

[Gege Rasolondraibe @rasologg]

C’est rigolo ces modèles, soit disant « open source/weight » mais que tu ne pourras jamais déployer avec ta petite infrastructure GPU ☹️

[Thinking Machines @thinkymachines]

Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

[Claude @claudeai]

We're introducing Claude for Teachers: free access to premium Claude capabilities for verified K-12 educators in the US, with a library of teaching skills and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states.

https://t.co/5hZZijVPCV

[Demis Hassabis @demishassabis]

https://t.co/PTeDiv1b6L

[CNEWS @CNEWS]

Alors que Kylian Mbappé a été visé par des propos racistes de la part d'une sénatrice paraguayenne, Marc Menant revient sur le mot de soutien d'Emmanuel Macron : «Ça me paraît un peu faible, alors que le capitaine de l'équipe de France a été humilié», dans #Facealinfo

[Gege Rasolondraibe @rasologg]

Vu à Paris ce weekend. La 1 du Monde diplo de juillet : « Tout le monde déteste l'IA ».
L'IA a déjà connu 2 hivers. Pas à cause des critiques, à cause des promesses non tenues.
Ignorer les inquiétudes (emploi, environnement,...) ne les fera pas disparaître, ça prépare le 3e hiver

[Ornith @ornith_]

Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding.

Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including:
✅Terminal-Bench 2.1(77.5)
✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual)
✅NL2Repo(48.2)
✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW)
✅ClawEval(77.1)

Post-trained on top of gemma4 and qwen3.5, Ornith-1.0 employs a novel self-improving training strategy in which reinforcement learning is used to generate not only solution rollouts, but also the task-specific scaffolds that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model generate higher-quality solutions in agentic coding.😎

All models are released under the MIT license, enabling full commercial and research use.

📖Tech Blog: https://t.co/qT9N2HYWFn
🤗Huggingface: https://t.co/PRrwqjeBtM

[Gege Rasolondraibe @rasologg]

Inattendu

[Midjourney @midjourney]

Announcing a new division of Midjourney called "Midjourney Medical"

[Narendra Modi @narendramodi]

J’ai eu une discussion inspirante avec M. Arthur Mensch de Mistral AI sur le paysage international de l’IA en pleine évolution. Nous avons échangé nos points de vue sur l’IA digne de confiance, l’innovation et la nécessité de faire en sorte que l’IA reste centrée sur l’humain et inclusive.

Nous avons discuté des possibilités de partenariats en Inde dans divers domaines. L’Inde reste engagée pour le développement de solutions IA qui servent l’humanité tout en promouvant l’innovation, la confiance et la coopération internationale.

@arthurmensch

@MistralAI

[Gege Rasolondraibe @rasologg]

Wait and see

[Cursor @cursor_ai]

We're launching code storage and git hosting.

Origin gives teams and agents a place to host, review, and collaborate on code.

Available this fall. Join the waitlist.

https://t.co/uamaIarJXY

[Anonymous @YourAnonOne]

Elon Musk says humans will soon have cybernetic chip implants that will enable "God-like powers" describing the chips as creating "Jesus-level miracles."

[Gege Rasolondraibe @rasologg]

C’est dingue, ne jamais mettre toutes ses oeufs dans le même panier 🧺, imagine une entreprise ai-native et du jour au lendemain son accès à l’ia est coupé

[Anthropic @AnthropicAI]

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.

The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.

Access to all other Claude models is not affected.

We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.

Read our full statement: https://t.co/bwn0sximKZ

[Dario Amodei @DarioAmodei]

Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: https://t.co/Lh6PWae178

[Gege Rasolondraibe @rasologg]

c'est hallucinant la rapidité de livraison de nouveau modele IA...

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Gege Rasolondraibe @rasologg]

Un pas de plus vers l'AGI

[Anthropic @AnthropicAI]

Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.

It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx

[Claude @claudeai]

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.

Available today at the same price.

[atomic.chat @atomic_chat_hq]

Qwen 3.7-max beats Opus 4.7 and GPT-5.5

We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head.

Qwen 3.7-Max: training cost $1.32, bot improvement +56%
Claude Opus 4.7: training cost $12.15, bot improvement +28%
GPT-5.5: training cost $2.85, bot improvement +7%

Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.