sadly my average Astra experience these days. would have never predicted this a month ago.

Mistral Large 4, aka "Le Chonk" Claims to be the best open model from Europe or US. It's a big model. - 1T params, 49B active - Multimodel - Fully developed in Europe - Available via API today Open weights coming on Oct 27!

You should be able to use smarter models in your agent. You should be able to use cheaper models in your agent. You should be able to use local models in your agent. You should be able to use a different model for every job. You should be able to switch models in the middle of a conversation. You should be able to choose what data your agent has. You should be able to choose what it remembers and what it forgets. You should be able to choose what computer your agent runs on. You should be able to run it on a machine that never touches the internet. You should be able to run it while your laptop is closed. You should be able to reach it from the apps you already use. You should be able to choose how your agent thinks. You should be able to read the prompt it runs on. You should be able to see every tool it has, and turn off the ones you don't want. You should be able to teach it something once and never explain it again. You should be able to know what it did, and when, and why. You should be able to export your agent. You should be able to read the code. You should be able to change the code. Your agent should be yours.

The real story is this one

Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: reflection.ai/beam

Introducing Kardashev-0.7, the world’s first trained swarm made of 32 distinct models Trained with RL for Population Scaling (RLPS), 32 models organically develop specialization & complementary capabilities, delivering frontier performance at: - 0.007x ~ 0.02x of the inference cost - 0.03x of the required memory Civilization advances through different minds specializing and working together. We’re bringing that principle into AI @BanburyRoadAI, we’re scaling intelligence by model count, toward civilizations of models that learn to build on one another

Small bird, fast wings, Kolibri is here. 78B parameters. 3.46B active. Up to 1M tokens of context. Built in Europe. Now the weights are yours. Run it on your own hardware, under Apache 2.0.

🚨 GPT-6.1 SOL:QUICK REVIEW Solid model for the price and capable across most tasks. The catch: 3D work often needs multiple passes, and Opus 5.5 still feels stronger there. The real problem is speed around 20–30 TPS compared with 100+ TPS from Opus 5.5. For Codex, I’d pair Astra for planning with 6.1 Sol for implementation. Great model. Just needs to get MUCH faster.

Ewwww PS5 jailbreak. So illegal and so unethical If you have a PS5, please do not follow these instructions under any circumstance. Don't even look at it

today on x dot com

Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

after everything... Claude Pro $20 >>>>>> Codex $20 trust me!!

okay, let me wrap up OpenAI DevDay for you: - a clone of GrokBot - a clone of Notion & Claude Tag - a clone of Opus 5.5 - a clone of Claude Cloud Environment - a clone of Jev - a $500 plan - a super fast mode (~300tps) - a marketplace & a bunch of plugins you're welcome!