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EVIDENCE REGISTER
A chronological register of published signals. Source class, verification state, evidence quality and relevance remain visible before interpretation.
Perceptron introduced Isaac 0.5, a 36B sparse model jointly trained for multimodal video understanding, spatial grounding, task progress and robot control across more than 35 robot systems. First-party technical artifacts and code are public; independent capability reproduction is not yet available.
Skild AI says S1 can execute previously unseen manipulation tasks lasting up to about 10 minutes from a single human video demonstration, without task-specific fine-tuning or post-training. In a controlled scaling comparison at 100K hours of pre-training, the company reports 66% performance for in-context demonstration prompting versus 9% for language prompting; the result remains first-party and lacks independent reproduction.
Figure unveiled Index, a global physical-data collection system for Helix that has already accumulated more than 16 million videos from 264,000 app downloads across 108 countries, processing roughly 30 minutes of new video per second. Figure says it will spend more than $1B on data and compute over the next 12 months. The signal is data-scaling infrastructure for general-purpose humanoid learning; no new independently validated capability result was released with the announcement.
Generalist AI reports that GEN-1.5 can execute previously unseen short-horizon manipulation tasks after a single 3–12 second physical demonstration with no gradient update, averaging 59% success across 10 internal tasks; few-step adaptation reaches 83% after about five minutes of task data. The company also reports compositional prompting, sim-to-real prompting and some human-to-robot transfer. Results are first-party and success remains modest on short atomic tasks.
The 2 August Pulse rated Gemini Robotics 2 at 8/10 but did not change the ASI forecast.