Brain Twin
Meta’s TRIBE v2 predicts how a human brain reacts to sights, sounds, and language — a milestone in AI-driven neuroscience with big implications for medicine and privacy.
AI & Scientific Discovery
Worldview
Yann LeCun, DeepMind, and Fei-Fei Li are betting billions that “world models” — AI that simulates physical reality — will surpass language models.
Lab Mind
FutureHouse’s Robin read 551 papers, formed a hypothesis, and identified a blindness treatment — on its own. The closed-loop AI scientist is no longer theoretical.
After Transformer
Mamba-3 landed at ICLR 2026. Neuro-symbolic AI cut robot training from 36 hours to 34 minutes. The post-transformer era isn’t coming — it’s here.
The Telescope Moment
Two AI systems published in Nature can generate hypotheses, design experiments, and make real discoveries. The same papers reveal what AI still cannot do.
The Climate Discovery Machine
AI climate models are no longer just forecasting — they’re finding hidden patterns in Earth’s system that physics-based models missed entirely.
Robin Macular Degeneration AI
FutureHouse’s Robin AI autonomously identified ripasudil as a novel treatment for dry macular degeneration — the leading cause of blindness — in 2.5 months.
Synthesin AI Antibiotic
McMaster’s SyntheMol-RL explored 46 billion compounds and designed synthecin, a novel antibiotic effective against drug-resistant staph.
Beyond the Grid
In 1946, Paul Erdős asked how many point pairs can sit exactly one unit apart. For 80 years, mathematicians had the wrong answer. Then an AI found the right one.
The Parallel Mind
Every major language model generates text one token at a time. Gemini Diffusion generates entire blocks at once, hitting 1,479 tokens/sec. A paradigm shift.
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