Just noticed @DynaRobotics is also using RL for low-level wheeled tracking + whole-body control skills. Pretty close to what we’ve been working on lately: train multiple RL experts, then distill them into a generalizable action controller that can adapt to new skills and assets. Cool to see the approaches converging.

Support shows up on Day One. Applause comes after success. This is for those who believed before there was anything to celebrate. As a member of the AXIS community, I personally committed 50,000 USDC to our Sonar sale. My allocation is shown below. To thank those who supported us from Day1, I’m committing all AXIS unlocked at TGE from my personal Sonar sale allocation to these early community supporters: 63,154.35 AXIS — the initial 25% unlock plus the full community bonus. Eligibility and distribution rules will be announced within the community @plpiaoliang You believed before there was applause. I won’t forget that.

This demo shows a 97% success expert policy trained on a single RTX 4090 in ~20 minutes. The policy starts with no idea how to do the task and ends up completing it fluently, rollout after rollout. Read the blog here:

The $AXIS Community Sale Commitment Window is NOW OPEN! Verified participants can now submit their USDC commitments directly on the official sale page. Here is everything you need to know about purchasing details, key sale terms, timelines, and next steps 👇

Thrilled our paper has been accepted to the Physical World Models (PWMS) workshop at #IROS2026# 🎉 Growable, community-driven data engine for robot manipulation: 1,800+ tasks, 1.5M+ trajs. π0.5+AXIS: 83.9→88.8 on LIBERO-Plus. See you in Pittsburgh Oct 1 👋 Links ⬇️

Base had a big week in APAC last week. @brian_armstrong met with @base founders at the @CoinbaseSG office for two focused sessions: → 1:1 Agentic Office Hours with @virtuals_io, @axisrobotics, @hellominds_ by @animocabrands → Finance Roundtable with teams building across trading, payments, and financing: @StraitsX, @idrx_co, @predofficial, @pendle_fi, @cityprotocolHQ, @multiplifi, @animocabrands, @BasedOneX More from the sessions soon.

Grateful to @base for the invite to represent Physical AI and share our product and vision with @brian_armstrong . We’re bringing the Base ecosystem into the core loop of Physical Intelligence. And yes — Brian became the 10,001st contributor to our flower-watering social experiment 🌱 Small experiment. Big beginning. Let’s reshape Physical AI together.

Over the past month, we have continued pushing forward across growth, data production, commercialization, and ecosystem expansion. On the growth side, Axis Hub has now surpassed 133K total registered users, up from 80K+ about a month ago. Within this user base, more than 40,000 contributors have passed Axis’s quality-contributor filters. Among this qualified-contributor cohort, we currently have 13,480 MAU and 9,409 WAU, representing a 69.8% WAU/MAU ratio, which demonstrates strong recurring participation. Our weekly active users are contributing at a very high frequency, averaging around 9–10 valid data trajectories per user per day. We are also seeing a group of emerging “human experts” within the contributor network who are able to use our post-training features to correct model failure states and help models continuously improve and iterate. On the data side, Axis has now generated more than 3.4Mn valid simulation data trajectories, up from around 2Mn one month ago, representing approximately 9,500 hours of precise trajectory data. In addition, we have captured more than 150,000 cumulative hours of ego-centric real-world data, and 100 hours of loco-manipulation data.