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Good morning. It’s Friday, February 7th.

Did you know: On this day in 1984, astronauts Bruce McCandless II and Robert L. Stewart conducted the first untethered spacewalk using the Manned Maneuvering Unit (MMU)

In today’s email:

  • Programming Robotics With Natural Language

  • Google’s Gemini 2.0 Pro

  • ChatGPT Displays Chain-of-Thought

  • 4 New AI Tools

  • Latest AI Research Papers

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Today’s trending AI news stories

HuggingFace Pi0 Makes Robotics Fluent in Human Language

Hugging Face and Physical Intelligence just dropped Pi0, an open-source robotics model that cuts out the coding middleman. Robots can now execute complex tasks—folding laundry, bussing tables, packing groceries—straight from natural language commands. Trained across seven robotic platforms and 68 task domains, Pi0 wields flow matching to generate real-time action trajectories at 50Hz, making movements seamless and adaptable.

A faster variant, Pi0-FAST, incorporates frequency-space action sequence tokenization (FAST), accelerating training speeds fivefold. The model's open-source release lowers barriers to robotic automation, allowing enterprises to fine-tune policies for diverse applications. While promising, Pi0 faces hurdles in computational efficiency and execution reliability. Available on HuggingFace. Read more.

Google launches Gemini 2.0 Pro, Flash-Lite and connects reasoning model Flash Thinking to YouTube, Maps and Search

Google has dropped Gemini 2.0 Flash into general availability, pushed the ultra-cost-efficient Flash-Lite into public preview, and rolled out an experimental Gemini 2.0 Pro. Designed for enterprise-scale efficiency, these models supercharge multimodal processing across Google AI Studio and Vertex AI. Flash-Lite, the leanest model yet, outperforms Gemini 1.5 Flash on MMLU Pro (77.6% vs. 67.3%) and Bird SQL (57.4% vs. 45.6%) while holding firm on a 1-million-token context window—four times the industry standard. Gemini 2.0 Flash goes head-to-head with OpenAI’s o3-mini, maximizing efficiency without slashing capability.

Google has also embedded its Gemini 2.0 Flash Thinking model into Maps, YouTube, and Search, injecting AI-driven reasoning straight into its ecosystem. Meanwhile, Gemini 2.0 Pro—armed with a 2-million-token context window—levels up tool use, reasoning, and code execution. Read more.

OpenAI teases deeper transparency while expanding ChatGPT’s memory

OpenAI has updated the Chain-of-Thought (CoT) reasoning in its O3-Mini models, making it more transparent for both free and paid users. The refinement extends to O3-Mini-High for paid users. However, OpenAI has clarified that these are not the raw CoT outputs, suggesting that while the update offers greater visibility, it stops short of full disclosure.

Chain-of-Thought displayed on o3-mini’s response

Separately, OpenAI has expanded ChatGPT’s memory limit by 25% for Plus, Pro, and Team users, with plans to roll out the increase to Enterprise and Edu accounts soon. Read more.

4 new AI-powered tools from around the web

arXiv is a free online library where researchers share pre-publication papers.

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