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← Hand-tuning a robot's data set cannot reach very high reliability,…

8 connected korrents · 5 moments on record from 7 Jun 2025 to 1 Sept 2026.

Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: 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. Hand-tuning a robot's data setcannot reach very high reliability,because people get tired; the systemhas to seek out its own missingdata. CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: Very capable AI will be harder to align than current systems, because the loop of spotting a bad behaviour and patching the training that caused it breaks down. — tap to centre the map on it Very capable AI will be harderto align than current systems,because the loop of spotting abad behaviour and patching the… RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: A robot needs far less memory than it seems, because Moravec's paradox says the cognitively demanding tasks are the ones that need context, not the physical ones. — tap to centre the map on it A robot needs far less memorythan it seems, becauseMoravec's paradox says thecognitively demanding tasks… SL Sergey Levine — holds since 2025-09-12 — tap for who they are Same subject: There is no route to AI alignment or safety that goes around reliability: a system that cannot reliably follow a known algorithm cannot be made safe. — tap to centre the map on it There is no route to AIalignment or safety that goesaround reliability: a systemthat cannot reliably follow a… GM Gary Marcus — holds since 2025-06-07 — tap for who they are Same subject: A robot going down a wrong path is not producing training data; the efficient move is for a human to intervene and show the recovery. — tap to centre the map on it A robot going down a wrongpath is not producing trainingdata; the efficient move isfor a human to intervene and… CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: The least verifiable part of AI research is the judgement call about what goes into the one big training run. — tap to centre the map on it The least verifiable part ofAI research is the judgementcall about what goes into theone big training run. RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. — tap to centre the map on it AI systems keep trying hardoutside training because amodel that only exerted itselfwhen it detected training… AC Ajeya Cotra — holds since 2026-09-01 — tap for who they are Same subject: Physical AI has to make far fewer mistakes than any AI deployed so far, because it is only useful when it acts autonomously on the world. — tap to centre the map on it Physical AI has to make farfewer mistakes than any AIdeployed so far, because it isonly useful when it acts… CF Chelsea Finn — holds since 2026-08-12 — tap for who they are Same subject: Better AI makes robots cheaper, because cheap visual feedback removes the need for expensive mechanical precision. — tap to centre the map on it Better AI makes robotscheaper, because cheap visualfeedback removes the need forexpensive mechanical… SL Sergey Levine — holds since 2025-09-12 — tap for who they are
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At the centre 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. Holds Chelsea Finn Read this korrent →