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← Going back to your roots and using tools you know how to use to solve…
17 connected korrents · 16 moments from 22 Oct 2015 to 9 Aug 2026.
Everything filed under simplicity
simplicity
Everything filed under LLMs
LLMs
Everything filed under neural networks
neural networks
Everything filed under design
design
Everything filed under AI agents
AI agents
Everything filed under innovation
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: Going back to your roots and using tools you know how to use to solve problems is not a bad thing, and AI tools should not be the only thing relied on to solve problems. Going back to your roots and using tools you know how to use to solve problems is not a bad thing, and AI tools should not be the only thing relied on to solve problems. Last stated 6 months ago
2 Apr 2026
MS
Marvin Schwaibold — holds since 2026-04-02 — tap for who they are
Same subject: Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first. — tap to centre the map on it Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first. Last stated 7 months ago
20 Mar 2026
TT
Terence Tao — holds since 2026-03-20 — tap for who they are
Same subject: Don't be afraid of AI tools: as you start using them and build awareness of how they work, it is a lot easier to understand them, trust them and work better with them. — tap to centre the map on it Don't be afraid of AI tools: as you start using them and build awareness of how they work, it is a lot easier to understand them, trust them and work better with them. Last stated 6 months ago
2 Apr 2026
MS
Marvin Schwaibold — holds since 2026-04-02 — tap for who they are
Same subject: The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour. — tap to centre the map on it The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour. Last stated a year ago
21 Sept 2025
JZ
Julie Zhuo — holds since 2025-09-21 — tap for who they are
Same subject: A general-purpose AI design tool might have a place eventually, but it is probably not the right answer right now. — tap to centre the map on it A general-purpose AI design tool might have a place eventually, but it is probably not the right answer right now. Last stated 5 months ago
19 May 2026
TG
Tommy Geoco — holds since 2026-05-19 — tap for who they are
Same subject: Some knowledge is needed to get over the obstacles AI tools run into. — tap to centre the map on it Some knowledge is needed to get over the obstacles AI tools run into. Last stated 4 months ago
16 Jun 2026
BW
Brett Williams — holds since 2026-06-16 — tap for who they are
Same subject: Refusing to use or build AI tools will not stop AI development altogether, but it will slow it down, which is a good thing. — tap to centre the map on it Refusing to use or build AI tools will not stop AI development altogether, but it will slow it down, which is a good thing. Last stated 6 months ago
16 Apr 2026
KK
Kyle Kingsbury — holds since 2026-04-16 — tap for who they are
Same subject: Knowing when to use AI tools for execution and when to go deep on the thinking work is a skill, and quality and polish do not have to take all of a designer's time. — tap to centre the map on it Knowing when to use AI tools for execution and when to go deep on the thinking work is a skill, and quality and polish do not have to take all of a designer's time. Last stated 3 months ago
8 Jul 2026
MC
Meaghan Choi — holds since 2026-07-08 — tap for who they are
Same subject: AI is good at giving artifacts that are not necessarily grounded in understanding of the system, which works for prototypes and one-off experiments but leaves you lost the moment you need to debug. — tap to centre the map on it AI is good at giving artifacts that are not necessarily grounded in understanding of the system, which works for prototypes and one-off experiments but leaves you lost the moment you need to debug. Last stated 6 months ago
25 Mar 2026
FG
Flora Guo — holds since 2026-03-25 — tap for who they are
Same subject: A business is more likely to fail from taking on too much complexity than from lacking resources. — tap to centre the map on it A business is more likely to fail from taking on too much complexity than from lacking resources. Last stated 8 years ago
29 Sept 2018
TG
Tren Griffin — holds since 2018-09-29 — tap for who they are
Same subject: A business succeeds through a small number of highly effective distribution channels, not many mediocre ones. — tap to centre the map on it A business succeeds through a small number of highly effective distribution channels, not many mediocre ones. Last stated 3 years ago
17 Feb 2024
AW
Adam Wiggins — holds since 2024-02-17 — tap for who they are
Same subject: A candidate negotiating an offer should make every ask fit one line of logic. — tap to centre the map on it A candidate negotiating an offer should make every ask fit one line of logic. Last stated 2 months ago
9 Aug 2026
AW
Adam Ward — holds since 2026-08-09 — tap for who they are
Same subject: Intelligence is the execution of small, simplicity-weighted programs found by search over smooth loss landscapes in overparameterized networks, approaching Bayes-optimal reasoning as scale increases. — tap to centre the map on it Intelligence is the execution of small, simplicity-weighted programs found by search over smooth loss landscapes in overparameterized networks, approaching Bayes-optimal reasoning as scale increases. Last stated 5 years ago
11 Jun 2021
GW
Gwern — holds since 2021-06-11 — tap for who they are
Same subject: A small enough winning ticket learns faster than the network it was cut out of, and ends up more accurate than it. — tap to centre the map on it A small enough winning ticket learns faster than the network it was cut out of, and ends up more accurate than it. Last stated 9 years ago
9 Mar 2018
MC
Michael Carbin — holds since 2018-03-09 — tap for who they are
JF
Jonathan Frankle — holds since 2018-03-09 — tap for who they are
Same subject: A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work. — tap to centre the map on it A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work. Last stated 9 years ago
9 Mar 2018
MC
Michael Carbin — holds since 2018-03-09 — tap for who they are
JF
Jonathan Frankle — holds since 2018-03-09 — tap for who they are
Same subject: Code that is complex or clever can pass its tests while still being bad code. — tap to centre the map on it Code that is complex or clever can pass its tests while still being bad code. Last stated 11 years ago
22 Oct 2015
TB
Thorsten Ball — holds since 2015-10-22 — tap for who they are
Same subject: Smaller, more atomic pull requests make code review easier. — tap to centre the map on it Smaller, more atomic pull requests make code review easier. Last stated 5 years ago
10 Jul 2021
ML
Marc Littlemore — holds since 2021-07-10 — tap for who they are
Same subject: Unnecessary code is a burden that makes a codebase harder to change — tap to centre the map on it Unnecessary code is a burden that makes a codebase harder to change Last stated 4 years ago
17 May 2022
TB
Thorsten Ball — holds since 2022-05-17 — tap for who they are
At the centre
Going back to your roots and using tools you know how to use to solve problems is not a bad thing, and AI tools should not be the only thing relied on to solve problems.
Holds Read this korrent →
Today's AI tools either solve a problem or fail at it, and are really bad at partial progress or at identifying which intermediate step to attack first.
Holds
Don't be afraid of AI tools: as you start using them and build awareness of how they work, it is a lot easier to understand them, trust them and work better with them.
Holds
The most underused thing AI does is teach you: people reach for it to write their code and forget it can take them through a curriculum in an hour.
Holds
A general-purpose AI design tool might have a place eventually, but it is probably not the right answer right now.
Holds
Some knowledge is needed to get over the obstacles AI tools run into.
Holds
Refusing to use or build AI tools will not stop AI development altogether, but it will slow it down, which is a good thing.
Holds
Knowing when to use AI tools for execution and when to go deep on the thinking work is a skill, and quality and polish do not have to take all of a designer's time.
Holds
AI is good at giving artifacts that are not necessarily grounded in understanding of the system, which works for prototypes and one-off experiments but leaves you lost the moment you need to debug.
Holds
A business is more likely to fail from taking on too much complexity than from lacking resources.
Holds
A business succeeds through a small number of highly effective distribution channels, not many mediocre ones.
Holds
A candidate negotiating an offer should make every ask fit one line of logic.
Holds
Intelligence is the execution of small, simplicity-weighted programs found by search over smooth loss landscapes in overparameterized networks, approaching Bayes-optimal reasoning as scale increases.
Holds
A small enough winning ticket learns faster than the network it was cut out of, and ends up more accurate than it.
Holds
A winning ticket wins on its initial weights: the connections it keeps started at values that happen to make training work.
Holds
Code that is complex or clever can pass its tests while still being bad code.
Holds
Smaller, more atomic pull requests make code review easier.
Holds
Unnecessary code is a burden that makes a codebase harder to change
Holds