We closed out the Training Agents series in person in San Francisco with four talks and a panel on post-training agents with open models in industry. Enterprise RL (@t2govind Microsoft), environment design (Victor Barres Mercor), scaling agent RL with Miles (@nblintao RadixArk), and OpenEnv Arena (@xdotli BenchFlow). Full recording, slides and links: https://t.co/fLAuoy4Vmd

Introducing FLUX 3 Max. Fastest in the west. Fast enough to try anything. And everything. Generate a 10-second video in 12 seconds. Tied for #1 in image-to-video. 22× faster than Seedance 2.5 at the same quality. FLUX 3 is a model designed for customization. @fal adapted and optimized it to create FLUX 3 Max.

最近はこのSakana Sawara(仮)の開発を僕のチームでやってます。本日のシンポジウムではその開発計画に加え、"使える" モデルを作る方法やコストがかなり明らかになった今LLM作り始めるのコスパ良いよねという話や、このLLM開発が"RSI"とどう関わってくるかなどの話をしました。

Agents reinvented how we produce code. It changed our tools and half of our workflow. It’s time for the other half to catch up. Today, we’re shipping Entire: the Git forge for agent-human collaboration. We’ve built @GoEntire using Entire. Now we want to see what you'll build with it. Here’s why and what’s different. 🧵

早速有効活用しててすごい！めっちゃハマってるｗ やっぱ初心者におすすめなのはHermesAgentDesktopかな〜。一回理想のアウトプットが出たらそれをSkill化して覚えててくれるし。慣れてきたらTelegram連携とか勝手に進めてそう。 CodexやClaudecodeより自由度が高いので少しハードル高いかもしれないけど初めてのエージェントにはHermesをお勧めする。プロバイダーの制限がないから色んなモデル試せば楽しいと思うよ😊

Today we're launching @tryAlanAI so developers can stop babysitting their coding agents. We kept running into the same problem ourselves. Even as agents got better at writing code, we were becoming glorified button-pushers for our own AI: starting every run, feeding them context, unblocking failures, and checking their work. We built Alan to change that.

New Paper: Subliminal Learning doesn’t need a shared base model 🤯. We show how a “teacher’s” hidden animal preferences reaches the “student” even when both differ in weight initialization, data order, pretraining corpus or even architectures! 🧵

Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition. https://t.co/syYLXbQ4lL

Don't trust demos. Try it yourself. Introducing RoboAPI, powered by Poke-Aurora, our world-action model. Give compatible robots natural-language instructions through a simple API. No task-specific training. More information: https://t.co/BHzTOo4I8u https://t.co/3AVNh040Vf

Our latest work in closing the last-mile gap on long horizon robotics tasks.