Embodied AI

Jiqizhixin translated a MoE Capital blog tracing two world-model lineages. The article says more than $10 billion entered the category over 18 months, and cites DreamDojo as using 44,711 hours of first-person video pretraining to reach r=0.995 correlation with real-world robot policy outcomes.

Tesla disclosed two Robotaxi crashes involving teleoperators, according to the TechCrunch headline. The RSS snippet only lists 27 Hacker News points and 17 comments; the post does not disclose crash locations, injuries, dates, vehicle behavior, or the teleoperation handoff mechanism.

NTU MARS Lab and collaborators released a 43-page survey on robot world models, covering definitions, architectures, applications, benchmarks, and challenges around action-conditioned consistency, inference efficiency, and physical grounding.

Jensen Huang told Carnegie Mellon’s 2026 CS graduates that skilled trades have better prospects; Randstad says trade demand is growing three times faster than white-collar roles, with robotics technician jobs up 107%.

Waymo recalled 3,800 robotaxis after the vehicles drove into flood waters, according to the title; the RSS snippet does not disclose incident counts, affected software versions, recall scope details, or the fix mechanism.

Yann LeCun discussed LLM limitations on the Unsupervised Learning podcast, covering his 2027 forecast, AMI’s bet on world models, his reasons for leaving Meta, and major disagreements with Geoffrey Hinton and Yoshua Bengio over Turing Award-era views.

CreativelyBankrupt built Sparky as a fully offline suitcase robot on Jetson Orin NX SUPER 16GB, running Gemma 4 E4B Q4_K_M via llama.cpp with q8_0 KV cache, about 200 ms cached TTFT, 14-15 tok/s sustained output, 12K context, 30+ sensors, and no WiFi, Bluetooth, or cellular interface.

PsiBot says it uses 100,000 hours of human operation data to train robot policies, with the W0 world model acting only as a training-time transfer module while deployment runs R2 alone.

Fanuc announced a partnership with Alphabet’s Google and its shares surged, with the title saying the stock hit a record; the RSS snippet does not disclose the partnership scope, share-price gain, or rollout timeline.

Anduril doubled its valuation to $61 billion in a fresh $5 billion funding round led by Thrive Capital and Andreessen Horowitz; CEO Brian Schimpf said the company will invest aggressively in manufacturing capacity, research and development, and infrastructure.

The Information says Lin Junyang is raising several hundred million dollars for a new AI Lab at a potential $2 billion post-financing valuation, while the lab’s research direction and final valuation remain undisclosed.

Unitree launched the GD01 piloted transforming mech with a starting price of RMB 3.9 million, biped and quadruped modes, and a stated payload of about 500 kilograms.

AgiBot says it had shipped 10,000 general-purpose embodied robots by the end of March, and its humanoid robots worked eight continuous hours on a Nanchang 3C production line, completing 2,283 tasks with zero errors under formal line-cycle requirements.

Unitree plans to go public later this year, but the post does not disclose the fundraising size, valuation, exchange, or a specific timetable.

Richard Sutton and coauthors proposed Intentional Updates, which derive the step size from the desired output change; Intentional AC approached SAC on MuJoCo under batch=1 streaming training without replay, while each update used about 1/140 of SAC’s FLOPs.

Ted Xiao divides nearly a decade of robot learning into three eras: Google’s team trained RT-1 on 87,000 teleoperation trajectories, then adapted 5B to 55B VLMs into VLA policies for RT-2.

Tesla combined vision systems with crash sensors to trigger airbags and seatbelt pretensioners earlier, using real fleet crash data and simulation replay with human-body force measurements; the post does not disclose supported vehicle models or quantified injury-risk reductions for the OTA update.

Helsing plans to raise $1.2bn in its latest funding round at a $18bn valuation; the post only discloses that the German company is backed by Spotify’s Daniel Ek.

HKUST and the open-source community released StarVLA, a unified Vision-Language-Action framework that integrates backbones, action heads, training strategies, and evaluation interfaces; the repository has 2.2k GitHub stars and supports benchmarks including LIBERO, SimplerEnv, RoboTwin 2.0, RoboCasa-GR1, and BEHAVIOR-1K.

The speaker presented a physical AGI roadmap with six named components: video world models, WAM, EgoScale, dexterity scaling laws, physical reinforcement learning, and DreamDojo; the snippet also mentions a 2016 OpenAI DGX-1 signing story with Jensen and Elon.