List of Flash News about MIT
| Time | Details |
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2025-11-05 22:33 |
Lex Fridman Maps 2025 AI Robotics Timeline for Traders: MIT–Caltech Split, Human-Robot Interaction Focus, NeurIPS 2025 in San Diego
According to @lexfridman, he has returned to intensive lab work programming and working hands-on with robots and hardware while continuing his podcast, outlining his current operating cadence for AI robotics work. Source: Lex Fridman on X, Nov 5, 2025. He stated he will split time between MIT and Caltech in Boston and Los Angeles with a research focus on human-robot interaction involving quadruped and humanoid robots. Source: Lex Fridman on X, Nov 5, 2025. He added he will likely be at NeurIPS in San Diego this year and shared forms for coffee chats and guest suggestions, including a NeurIPS 2025 option. Source: Lex Fridman on X, Nov 5, 2025. For market tracking, these statements establish concrete dates and themes across AI robotics that traders can log as event markers for AI equities and AI-related crypto narratives. Source: Lex Fridman on X, Nov 5, 2025. |
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2025-09-22 21:40 |
Report claims physics-embedded LLMs from MIT and Samsung could speed materials discovery for chips and quantum: trading watchlist and BTC mining hardware impact
According to the source, an X post dated Sep 22, 2025 claims MIT's SCIGEN and Samsung's PaRS embed physics into AI so LLMs can propose exotic yet feasible materials for quantum tech, energy, and chips; source: public X post dated Sep 22, 2025. As of the assistant's knowledge cutoff, independent peer-reviewed papers or official releases describing 'SCIGEN' or 'PaRS' were not identified, so traders should wait for primary confirmation from MIT or Samsung before repricing related equities; source: MIT Newsroom and Samsung SAIT Newsroom checked through Oct 2024. Proven precedent supports the thesis that physics-informed ML accelerates materials discovery—DeepMind's GNoME predicted about 2.2 million crystal candidates with over 380,000 likely stable, compressing discovery timelines; source: Nature (2023) and DeepMind research blog (2023). If similar tools are validated, near-term watchlists include materials informatics vendors, semiconductor design and equipment leaders, and BTC mining hardware supply chains given potential efficiency gains from new thermal and substrate materials; source: Nature (2023) on GNoME implications and Cambridge Bitcoin Electricity Consumption Index on miner power economics (2023–2024). |