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← When there is new data, you have to update your priors, even when the resulting churn feels thrashy.
17 connected korrents · 17 moments from 15 Jul 2021 to 7 Oct 2026.
Everything filed under AI and science
AI and science
Everything filed under startups
startups
Everything filed under Ruby on Rails
Ruby on Rails
Everything filed under Trauma
Trauma
Everything filed under Anthropic
Anthropic Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: When there is new data, you have to update your priors, even when the resulting churn feels thrashy. When there is new data, you have to update your priors, even when the resulting churn feels thrashy. Last stated 2 months ago
19 Sept 2026
BC
Boris Cherny — holds since 2026-09-19 — tap for who they are
Same subject: Current systems are ill-equipped to learn from post-market data. — tap to centre the map on it Current systems are ill-equipped to learn from post-market data. Last stated a month ago
1 Oct 2026
VP
Vinay Prasad — holds since 2026-10-01 — tap for who they are
Same subject: Onboarding probably matters much more now than it did before. — tap to centre the map on it Onboarding probably matters much more now than it did before. Last stated 2 months ago
10 Sept 2026
NY
Nan Yu — holds since 2026-09-10 — tap for who they are
Same subject: The fastest-growing companies are not using data well, because they reached enormous scale before they had time to build any of the instrumentation. — tap to centre the map on it The fastest-growing companies are not using data well, because they reached enormous scale before they had time to build any of the instrumentation. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: The Rails doctrine's 'progress over stability' is the one point that dated: churn is not progress, and stability turned out to be worth more. — tap to centre the map on it The Rails doctrine's 'progress over stability' is the one point that dated: churn is not progress, and stability turned out to be worth more. Last stated a year ago
12 Jul 2025
DH
David Heinemeier Hansson — no longer holds since 2025-07-12 — tap for who they are
Same subject: Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong. — tap to centre the map on it Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong. Last stated 6 months ago
8 May 2026
DR
David Reich — holds since 2026-05-08 — tap for who they are
Same subject: The new wave of businesses is not lightweight slop: the median one is doing better than a year ago, and more of them clear every revenue threshold. — tap to centre the map on it The new wave of businesses is not lightweight slop: the median one is doing better than a year ago, and more of them clear every revenue threshold. Last stated 3 months ago
31 Jul 2026
PC
Patrick Collison — holds since 2026-07-31 — tap for who they are
Same subject: Founders should keep sending investor updates: without them most investors assume the worst. — tap to centre the map on it Founders should keep sending investor updates: without them most investors assume the worst. Last stated a year ago
26 Oct 2025
RH
Ryan Hoover — holds since 2025-10-26 — tap for who they are
Same subject: Moving fast enough that you never measure the impact of your changes makes things regress — that is what happened to Anthropic, and they only acknowledged it later. — tap to centre the map on it Moving fast enough that you never measure the impact of your changes makes things regress — that is what happened to Anthropic, and they only acknowledged it later. Last stated 4 months ago
24 Jun 2026
NE
NeetCode — holds since 2026-06-24 — tap for who they are
Same subject: A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. — tap to centre the map on it A compound's AI origin story is not by itself a reason to expect it to do better in the clinic. Last stated 2 years ago
13 May 2024
DL
Derek Lowe — holds since 2024-05-13 — tap for who they are
Same subject: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. — tap to centre the map on it A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. Last stated 2 years ago
17 Sept 2024
AT
Alex Telford — holds since 2024-09-17 — tap for who they are
Same subject: A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. — tap to centre the map on it A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. — tap to centre the map on it Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points. — tap to centre the map on it 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 11 months ago
23 Nov 2025
EH
Elliot Hershberg — holds since 2025-11-23 — tap for who they are
Same subject: AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. — tap to centre the map on it AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. — tap to centre the map on it AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder. Last stated a year ago
14 Jun 2025
TT
Terence Tao — holds since 2025-06-14 — tap for who they are
Same subject: AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape. — tap to centre the map on it AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape. Last stated 8 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: AI has solved in an afternoon of compute maths problems that stumped the best human minds for decades. — tap to centre the map on it AI has solved in an afternoon of compute maths problems that stumped the best human minds for decades. Last stated 4 weeks ago
7 Oct 2026
AA
Azeem Azhar — holds since 2026-10-07 — tap for who they are
At the centre
When there is new data, you have to update your priors, even when the resulting churn feels thrashy.
Holds Read this korrent →
Current systems are ill-equipped to learn from post-market data.
Holds
Onboarding probably matters much more now than it did before.
Holds
The fastest-growing companies are not using data well, because they reached enormous scale before they had time to build any of the instrumentation.
Holds
The Rails doctrine's 'progress over stability' is the one point that dated: churn is not progress, and stability turned out to be worth more.
No longer holds
Coming into a project with a guess about what the data will show has, again and again, turned out to be wrong.
Holds
The new wave of businesses is not lightweight slop: the median one is doing better than a year ago, and more of them clear every revenue threshold.
Holds
Founders should keep sending investor updates: without them most investors assume the worst.
Holds
Moving fast enough that you never measure the impact of your changes makes things regress — that is what happened to Anthropic, and they only acknowledged it later.
Holds
A compound's AI origin story is not by itself a reason to expect it to do better in the clinic.
Holds
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Holds
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Holds
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
Holds
AI models can be more accurate than physical experiments by averaging out noise, incorporating priors from large datasets, and interpolating between data points.
Holds
AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work.
Holds
AI could compete with human mathematicians once it acquires a mathematical sense of smell: knowing which way of splitting a problem makes it easier rather than harder.
Holds
AI excels at breadth and human experts at depth, which makes them complementary and makes today's depth-focused way of doing science the wrong shape.
Holds
AI has solved in an afternoon of compute maths problems that stumped the best human minds for decades.
Holds