korrents

On the map

Tap a claim on the ring to put it at the centre.

← AI models can be more accurate than physical experiments by averaging…

17 connected korrents · 16 moments from 15 Jul 2021 to 27 Sept 2026.

Everything filed under AI and science AI and science Everything filed under protein structure prediction protein structure prediction Everything filed under LLMs LLMs Everything filed under mathematics mathematics Everything filed under recursive self-improvement recursive self-improvement Everything filed under the cloud the cloud Everything filed under China China Everything filed under robotics robotics Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. AI models can be more accurate thanphysical experiments by averaging outnoise, incorporating priors from largedatasets, and interpolating between datapoints. Last stated 10 months ago 23 Nov 2025 EH Elliot Hershberg — holds since 2025-11-23 — tap for who they are Same subject: Cloud AI models are still better than local models for tasks that need high accuracy, large context handling, or production-grade reliability. — tap to centre the map on it Cloud AI models are still betterthan local models for tasks thatneed high accuracy, large contexthandling, or production-gradereliability. Last stated 6 months ago 9 Apr 2026 EB Emanuele Bartolesi — holds since 2026-04-09 — tap for who they are Same subject: People who extrapolate from first-principles models have a stronger track record predicting AI progress than those who wait for empirical proof. — tap to centre the map on it People who extrapolate fromfirst-principles models have astronger track record predicting AIprogress than those who wait forempirical proof. Last stated 7 months ago 18 Feb 2026 SH Samuel Hammond — holds since 2026-02-18 — tap for who they are Same subject: Most advances in AI have come from algorithms rather than raw hardware, which makes China's army of AI researchers its fundamental advantage. — tap to centre the map on it Most advances in AI have come fromalgorithms rather than raw hardware,which makes China's army of AIresearchers its fundamentaladvantage. Last stated 6 months ago 15 Apr 2026 JH Jensen Huang — holds since 2026-04-15 — tap for who they are Same subject: A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months. — tap to centre the map on it A lab under real commercial pressurecannot fool itself about whether AImakes it productive, because theoutput is a model launch every fewmonths. Last stated 8 months ago 13 Feb 2026 DA Dario Amodei — holds since 2026-02-13 — tap for who they are Same subject: The human data an AI model would need to predict trial outcomes can only come from trials in people, so the loop runs no faster than the trials themselves. — tap to centre the map on it The human data an AI model wouldneed to predict trial outcomes canonly come from trials in people, sothe loop runs no faster than thetrials themselves. Last stated 7 months ago 28 Feb 2026 RT Ruxandra Teslo — holds since 2026-02-28 — tap for who they are Same subject: Polished, confident-sounding AI output does not mean the underlying analysis is clear or correct. — tap to centre the map on it Polished, confident-sounding AIoutput does not mean the underlyinganalysis is clear or correct. Last stated a year ago 5 Sept 2025 JE Jason Evanish — holds since 2025-09-05 — tap for who they are Same subject: Hand-tuning a robot's data set cannot reach very high reliability, because people get tired; the system has to seek out its own missing data. — tap to centre the map on it Hand-tuning a robot's data setcannot reach very high reliability,because people get tired; the systemhas to seek out its own missingdata. Last stated 2 months ago 12 Aug 2026 CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: Learned approximations of slow simulators change what science is possible, by turning a six-month screening run into something you do over lunch. — tap to centre the map on it Learned approximations of slowsimulators change what science ispossible, by turning a six-monthscreening run into something you doover lunch. Last stated 2 months ago 30 Jul 2026 JD Jeff Dean — holds since 2026-07-30 — tap for who they are Same subject: A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. — tap to centre the map on it A narrow, highly accurate model canbeat a general one inside its owndomain, as AlphaFold did, andmaterials science and chip designare next. Last stated 2 months ago 30 Jul 2026 JD Jeff Dean — holds since 2026-07-30 — tap for who they are Same subject: Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. — tap to centre the map on it Contemporary physical andevolutionary structure-predictionapproaches fall far short ofexperimental accuracy without aclose experimental homologue,limiting biological utility. Last stated 5 years ago 15 Jul 2021 DH Demis Hassabis — holds since 2021-07-15 — tap for who they are Same subject: Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. — tap to centre the map on it Deep learning has effectively solvedthe problem of predicting aprotein's 3D structure from itssequence. Last stated a year ago 29 Jun 2025 EH Elliot Hershberg — holds since 2025-06-29 — tap for who they are Same subject: A persistently rising dividend yield eventually forces capital appreciation as the market rerates the stock. — tap to centre the map on it A persistently rising dividend yieldeventually forces capitalappreciation as the market reratesthe stock. Last stated 7 months ago 3 Mar 2026 SB Sanjay Bakshi — holds since 2026-03-03 — tap for who they are Same subject: A proof and an explanation are different things, and a theorem can stay an unsolved expository problem long after it is proved. — tap to centre the map on it A proof and an explanation aredifferent things, and a theorem canstay an unsolved expository problemlong after it is proved. Last stated 3 months ago 30 Jun 2026 GS Grant Sanderson — holds since 2026-06-30 — tap for who they are Same subject: A stream of AI-written papers with any error rate at all becomes insufferable, because finding the error costs more than the paper is worth even at ninety-nine percent. — tap to centre the map on it A stream of AI-written papers withany error rate at all becomesinsufferable, because finding theerror costs more than the paper isworth even at ninety-nine percent. Last stated 3 months ago 30 Jun 2026 GS Grant Sanderson — holds since 2026-06-30 — tap for who they are Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursiveself-improvement loop — what thelabs have shipped in recent weeksshows the cycle has started. Last stated 2 months ago 3 Aug 2026 CP Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are Same subject: AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. — tap to centre the map on it AI research will be fully automatedaround 2030 or 2031, and AI willbeat humans at essentially any jobby about 2033. Last stated 2 months ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: AI self-improvement may not be powerful enough to overcome diminishing returns. — tap to centre the map on it AI self-improvement may not bepowerful enough to overcomediminishing returns. Last stated 5 days ago 27 Sept 2026 RN Ramez Naam — holds since 2026-09-27 — tap for who they are
same subject or similar wordinga cloud: claims about one subject, named for itbar: when it was last stated, on a scale from 2015 to today — full is todaya face: someone who holds the claim — tap it for who they are

At the centre AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. Last stated 23 Nov 2025 · 10 months ago Holds Elliot Hershberg Read this korrent →