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Caltech

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RESEARCH · 1 SOURCE · The Decoder

Stanford/Caltech team connects GPT-6 Astra directly to a Unitree G1 to tidy unfamiliar kitchens

Researchers at Stanford and Caltech built HomeBody, a system that lets a Unitree G1 robot explore an unfamiliar kitchen, build a digital twin in Nvidia Isaac Sim, and use GPT-6 Astra as a vision-language model that calls an extensible skill library to grasp, navigate, and open drawers so it can tidy and fetch items. The setup drops the usual trained control layer—Astra plans and self-corrects steps using spatial memory, but the team reported practical limits including latency, overheating finger servos, and high compute costs; the code is available on GitHub.

7.0

STARTUPS · 1 SOURCE · TechCrunch AI

PrismML brings 1-bit 'Bonsai' tiny LLM to Qualcomm Snapdragon AR1 Gen1 smart-glass platform

At Qualcomm's Snapdragon Summit, PrismML demonstrated a 1-bit version of its Bonsai tiny LLM tailored for vision-and-language tasks that can run locally on devices using the Snapdragon AR1 Gen 1 platform; the smart-glasses-capable build is a 2-billion-parameter model but no consumer glasses running it have been announced. PrismML, founded by Caltech researchers and advised by UC Berkeley’s Ion Stoica, aims to enable open-weight on-device AI as an alternative to cloud-dependent proprietary models.

6.0

MODELS · 1 SOURCE · TechCrunch AI

PrismML releases Bonsai 2 27B — 9–10× compressed Qwen3.8 27B (5.9 GB)

PrismML released Bonsai 2 27B, a compressed version of Alibaba’s open-source Qwen3.8 27B reduced to about 5.9 GB (a 9–10× memory reduction) while matching roughly 98% of Qwen’s aggregate benchmark scores. The Caltech-founded startup says it uses a ternary-weights compression technique to shrink model weights, claims minimal performance loss versus originals, has previously seen millions of downloads of earlier Bonsai releases, and plans to apply the approach to much larger models; it raised a $22.25M seed and is backed by investors including Khosla Ventures and Cerberus Capital.

7.0