AlphaFold-like tools solved problems no human could ever have tackled mathematically
JMateosGarcia · x · 2026-10-08
A shared take: AlphaFold-like tools have solved problems no human had any hope of solving mathematically — protein structure prediction, binding affinities and more. The problems were too complex, data-intensive and nuanced for a human mind to even attempt. AI for Science isn't just speeding up known methods; it opens problem spaces humans couldn't enter at all.
More from Research
- LeJEPA lets you pretrain self-supervised vision models on your own data — randall_balestr · 2026-10-08
- LEDGER builds persistent 3D object memory from egocentric video, answers questions without rewatching — mangahomanga · 2026-10-08
- Applied Compute unveils On-Policy Self-Distillation as a step toward continual learning — ypatil125 · 2026-10-08
- Depth2Depth fuses DepthAnything with RealSense for dense, metric depth maps — chrismatthieu · 2026-10-08
- NavSafe-∞: photorealistic closed-loop benchmark exposes safety gap across 20 E2E driving policies — zhoubolei · 2026-10-08
- Sampling test: pplx-decider-v1.1 judges pretraining data quality out-of-the-box vs Fineweb-edu classifier — bo_wangbo · 2026-10-08