Thinking Machines TML-Small 64.7%, MIT Brain Study π§ , Rust Browser π
AI Summary
Thinking Machines released TML-Interaction-Small, a 276B parameter real-time AI model that simultaneously listens, speaks, and processes video in 200ms chunks, scoring 64.7% on timed speech benchmarks vs GPT-Realtime-2's 4.3%. An MIT study using EEG headsets on 54 participants found ChatGPT users showed up to 55% reduced brain connectivity and 83% couldn't quote from essays they just wrote, coining the term 'cognitive debt.' Additional signals include an open-source Rust browser loading pages in 85ms, a new uncensored local video model generating 24fps clips, and Meta FAIR's byte-level model cutting LLM decoding steps in half.
Key Facts
Author Takes
AI and human cognition
We're building smarter AI interfaces while quietly accumulating 'cognitive debt' β the irony is that better AI conversation tools may be making humans worse at thinking.
Optimal AI usage strategy
AI should be used as a finishing tool, not a starting one β engage in self-driven cognitive effort first before leveraging AI assistance.
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