Big thing
Physical Intelligence is in talks to raise $1B+ at about $20B
Per Bloomberg, Avenir and Lux Capital would co-lead the round, which would nearly double the $11.5B valuation of Pi's earlier 2026 round. Pi was worth $2.4B in November 2024 (@rohanpaul_ai). The talks follow the 13 October beta of the Pi API, which lets outside developers fine-tune and run its latest robot models.
@TradedVC: "$400M → $2.4B → $5.6B → $11.5B → ~$20B since Mar 2024. Robot foundation models are running the same curve language models did." @amanvaibhav: "The market is not buying robots. It is buying one generalist model to run every machine."
Labs news & launches
1. DeepMind plays checkers with Apptronik's Apollo inside Genie 4
Gemini 4 Argon splits the task into steps and feeds them to Genie 4, Google's new world model, as captions while the scene renders, so the simulation adapts as it goes (Google DeepMind). Google calls Genie 4 a step toward safe virtual places to test how agents and robots get around (@GoogleDeepMind), but gives no robot results yet.
@TheHumanoidHub: "Sim-to-real, but the sim generates itself." @poolio, whose last project at Google it was: simulating the real world accurately "remains an open research challenge that is key to unlocking useful physical intelligence."
Heat: very high · 6.0M views, 145 posts (Genie 4 as a whole) · #3 on r/singularity
2. Tesla's Austin Robotaxi fleet passes 1,000 vehicles, over half of them Cybercabs
81 more Cybercabs joined the official fleet listing, for 1,053 vehicles: 544 Cybercabs and 507 Model Ys. Tesla's driverless miles grew 30% in a single week (@FredLambert).
@alvinfoo: Tesla "has reportedly hit 438K weekly robotaxi rides in Austin, edging past Waymo's 406K weekly average." @FredLambert, on Musk's "It was never a real contest": Tesla is "behind by 7x on weekly miles and 87x on cumulative miles".
Heat: low · 76K views, 3 posts · quiet on Reddit
3. Machenta teaches robots a task from one demonstration, with no training
Imperial College's Ed Johns took the London startup out of stealth with a $40M seed co-led by Creandum and USV, the UK's largest robotics seed (@lukas_m_ziegler). Its model, trained only in simulation, takes a demo where a VLA takes a sentence. One model runs six robots and, by its own count, placed 74 of 74 blocks in one hour (@_bbelousov).
@andreasklinger, an investor: "It's a complete narrative violation to everything we know in robotics right now." @_bbelousov adds that the tasks are ones the company calls relatively simple, with "no paper yet".
Heat: medium · 236K views, 84 posts · quiet on Reddit
4. Reward AI's OM-1 humanoid unloads a parcel from a Cybertruck and tidies on stairs
New demos show the model running humanoids indoors and out, from last-mile delivery to picking things up halfway up a staircase. OM-1 learns from people wearing a sensor glove that records hand pose, touch and images, with no teleoperation or robot demonstrations (@rohanpaul_ai).
Six robotics accounts on our roster quoted or answered it, among them @qiayuanliao: "Excellent whole-body control." The AI news account @UniverseIce added: "The jump up into the truck bed is the bit worth watching."
Heat: medium · 395K views, 26 posts · quiet on Reddit
Key research
Robocurve: GPT-6.1 Terra beats Opus 5.5 at controlling real robots
On max effort, OpenAI's new cheaper model scores slightly better than Claude Opus 5.5 on high effort, at a slightly lower cost, and 3.7x better than GPT-5.6 Terra from three months earlier. Opus on fast mode still finishes tasks faster (@robocurve), and all 240 runs of both Terras are public with transcripts and videos. It matters because Terra's score went from 11% to 42% in three months for about the same $2 a try, so the gain came from a better model, not a bigger bill.