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← A computational discovery platform does not make a biotech fast,…
17 connected korrents · 19 moments from 17 Sept 2010 to 22 Sept 2026.
Everything filed under AI and science
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ideas vs execution
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innovation 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: A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck. 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: Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is. — tap to centre the map on it Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is. Last stated 8 months ago
28 Feb 2026
RT
Ruxandra Teslo — holds since 2026-02-28 — tap for who they are
Same subject: Putting a device into the brain works in an hour, which makes it far more amenable to biology than drug discovery. — tap to centre the map on it Putting a device into the brain works in an hour, which makes it far more amenable to biology than drug discovery. Last stated 2 months ago
20 Aug 2026
MH
Max Hodak — holds since 2026-08-20 — tap for who they are
Same subject: The hard part of drug discovery is knowing what to make - which target is worth drugging - not designing the molecule. — tap to centre the map on it The hard part of drug discovery is knowing what to make - which target is worth drugging - not designing the molecule. Last stated 3 months ago
21 Jul 2026
AT
Alex Telford — holds since 2023-12-23 — tap for who they are
RT
Ruxandra Teslo — holds since 2026-07-21 — tap for who they are
Same subject: AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. — tap to centre the map on it AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard. Last stated 2 years ago
2 Feb 2025
AC
Ajeya Cotra — holds since 2023-08-29 — tap for who they are
SA
Scott Alexander — holds since 2022-09-12 — tap for who they are
MB
Miles Brundage — holds since 2025-02-02 — tap for who they are
Same subject: AI infrastructure companies that sell tools rather than drugs can become massive, highly valuable businesses in biotech. — tap to centre the map on it AI infrastructure companies that sell tools rather than drugs can become massive, highly valuable businesses in biotech. Last stated 11 months ago
23 Nov 2025
EH
Elliot Hershberg — holds since 2025-11-23 — tap for who they are
Same subject: There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. — tap to centre the map on it There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. — tap to centre the map on it The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding. Last stated a month ago
22 Sept 2026
NL
Nathan Lambert — holds since 2026-09-22 — tap for who they are
Same subject: Every new drug has to beat the cheap generics that came before it, and that competition with our own back catalogue is why drug discovery gets harder over time. — tap to centre the map on it Every new drug has to beat the cheap generics that came before it, and that competition with our own back catalogue is why drug discovery gets harder over time. Last stated 15 years ago
8 Mar 2012
DL
Derek Lowe — holds since 2012-03-08 — 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 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: A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged. — tap to centre the map on it A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged. Last stated 7 years ago
4 Feb 2020
DL
Derek Lowe — holds since 2020-02-04 — tap for who they are
Same subject: A loosely plotted, anarchic novel requires a correspondingly loose, unplanned writing process to produce it. — tap to centre the map on it A loosely plotted, anarchic novel requires a correspondingly loose, unplanned writing process to produce it. Last stated 2 months ago
7 Sept 2026
LM
Lincoln Michel — holds since 2026-09-07 — tap for who they are
Same subject: A maker cannot summon the good line, only be at the desk when it arrives, and the outcome is not theirs to influence. — tap to centre the map on it A maker cannot summon the good line, only be at the desk when it arrives, and the outcome is not theirs to influence. Last stated 5 years ago
29 Jun 2021
NC
Nick Cave — holds since 2021-06-29 — tap for who they are
Same subject: A project has not started until something exists that can be played; plans, documents, teams and art are not a start. — tap to centre the map on it A project has not started until something exists that can be played; plans, documents, teams and art are not a start. Last stated 16 years ago
17 Sept 2010
DY
Derek Yu — holds since 2010-09-17 — 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
At the centre
A computational discovery platform does not make a biotech fast, because the thousand other steps of drug development are still the bottleneck.
Holds Read this korrent →
Better drug candidates do not shorten clinical trials, because a trial's duration is set by operational and regulatory friction rather than by how good the drug is.
Holds
Putting a device into the brain works in an hour, which makes it far more amenable to biology than drug discovery.
Holds
The hard part of drug discovery is knowing what to make - which target is worth drugging - not designing the molecule.
Holds
AI progress is faster than people expect, and ordinary scaling can be enough to solve problems that looked very hard.
Holds
AI infrastructure companies that sell tools rather than drugs can become massive, highly valuable businesses in biotech.
Holds
There is no real impediment to models running their own research loop and improving themselves at a far more rapid rate.
Holds
The AI research cycle from idea to experiment will likely soon be 10x faster, but that may not make researchers 10x more productive in the field's net understanding.
Holds
Every new drug has to beat the cheap generics that came before it, and that competition with our own back catalogue is why drug discovery gets harder over time.
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 method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Holds
A paper reporting an AI-generated molecule must publish the model's entire training set in detail, or the result cannot be judged.
Holds
A loosely plotted, anarchic novel requires a correspondingly loose, unplanned writing process to produce it.
Holds
A maker cannot summon the good line, only be at the desk when it arrives, and the outcome is not theirs to influence.
Holds
A project has not started until something exists that can be played; plans, documents, teams and art are not a start.
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