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← The current ease of building software with AI will be seen as normal…
17 connected korrents · 16 moments from 21 Mar 2023 to 13 Oct 2026.
Everything filed under coding agents
coding agents
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recursive self-improvement
Everything filed under AGI
AGI 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: The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet. Last stated 4 months ago
15 Jul 2026
TY
Tynan — holds since 2026-07-15 — tap for who they are
Same subject: AI capability will look dramatically different within about three years, provided agents can be reliably deployed and evaluated. — tap to centre the map on it AI capability will look dramatically different within about three years, provided agents can be reliably deployed and evaluated. Last stated 3 years ago
22 Mar 2024
EG
Elad Gil — holds since 2024-03-22 — tap for who they are
Same subject: AI products should probably aim at where the models will be in two to three months, neither anchored in the present nor futuristic and unusable. — tap to centre the map on it AI products should probably aim at where the models will be in two to three months, neither anchored in the present nor futuristic and unusable. Last stated 2 months ago
10 Sept 2026
TS
Tara Seshan — holds since 2026-09-10 — tap for who they are
Same subject: Once AI can do AI research, a single year should deliver four or five years worth of AI progress. — tap to centre the map on it Once AI can do AI research, a single year should deliver four or five years worth of AI progress. Last stated 3 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Human-level AI will arrive in 5 to 20 years with 90% confidence, not in the decades-to-centuries range previously assumed. — tap to centre the map on it Human-level AI will arrive in 5 to 20 years with 90% confidence, not in the decades-to-centuries range previously assumed. Last stated 3 years ago
12 Aug 2023
YB
Yoshua Bengio — holds since 2023-08-12 — tap for who they are
Same subject: The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy — tap to centre the map on it The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy Last stated 4 weeks ago
11 Oct 2026
PL
Pieter Levels — holds since 2026-10-11 — tap for who they are
Same subject: AI coding assistance now lets a programmer complete in a day work that used to take weeks. — tap to centre the map on it AI coding assistance now lets a programmer complete in a day work that used to take weeks. Last stated 6 months ago
26 Apr 2026
CW
Chris Wellons — holds since 2026-04-26 — tap for who they are
Same subject: It is far too soon for a manifesto about AI development: the Agile Manifesto took fifteen years of object-oriented practice before anyone could write it. — tap to centre the map on it It is far too soon for a manifesto about AI development: the Agile Manifesto took fifteen years of object-oriented practice before anyone could write it. Last stated 4 months ago
1 Jul 2026
KB
Kent Beck — holds since 2026-07-01 — tap for who they are
Same subject: Ambitious engineers are building AI systems in months that would have been considered madness previously. — tap to centre the map on it Ambitious engineers are building AI systems in months that would have been considered madness previously. Last stated 3 weeks ago
13 Oct 2026
GO
Gergely Orosz — holds since 2026-10-13 — tap for who they are
Same subject: "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. — tap to centre the map on it "Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value. Last stated 3 months ago
17 Aug 2026
JC
John Cutler — holds since 2026-08-17 — tap for who they are
Same subject: A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. — tap to centre the map on it A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI. Last stated 10 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. — tap to centre the map on it A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. Last stated 4 months ago
15 Jul 2026
DH
Dex Horthy — holds since 2026-07-15 — tap for who they are
Same subject: A strength of Claude is that it is good at ranking your options, lowest risk and least expensive first. — tap to centre the map on it A strength of Claude is that it is good at ranking your options, lowest risk and least expensive first. Last stated 5 months ago
16 Jun 2026
BW
Brett Williams — holds since 2026-06-16 — tap for who they are
Same subject: Among the misuse threats in Anthropic's threat disruption report, distillation is by far the most important and will have the most impact. — tap to centre the map on it Among the misuse threats in Anthropic's threat disruption report, distillation is by far the most important and will have the most impact. Last stated 2 months ago
15 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-15 — tap for who they are
Same subject: Anthropic prices its Claude subscription plans as loss leaders relative to its own API rates. — tap to centre the map on it Anthropic prices its Claude subscription plans as loss leaders relative to its own API rates. Last stated 2 months ago
19 Sept 2026
BD
Brad DeLong — holds since 2026-09-19 — tap for who they are
Same subject: A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. — tap to centre the map on it A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact. Last stated 9 months ago
12 Feb 2026
AK
Andrej Karpathy — holds since 2026-02-12 — tap for who they are
Same subject: An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. — tap to centre the map on it An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected. Last stated 4 years ago
21 Mar 2023
BC
Bryan Caplan — holds since 2023-03-21 — tap for who they are
Same subject: Bing's Sydney, not ChatGPT, was the first truly fantastic chatbot. — tap to centre the map on it Bing's Sydney, not ChatGPT, was the first truly fantastic chatbot. Last stated 2 months ago
15 Sept 2026
TL
Tobias Lütke — holds since 2026-09-15 — tap for who they are
At the centre
The current ease of building software with AI will be seen as normal and commonplace within 12 to 24 months, though few realize it yet.
Holds Read this korrent →
AI capability will look dramatically different within about three years, provided agents can be reliably deployed and evaluated.
Holds
AI products should probably aim at where the models will be in two to three months, neither anchored in the present nor futuristic and unusable.
Holds
Once AI can do AI research, a single year should deliver four or five years worth of AI progress.
Holds
Human-level AI will arrive in 5 to 20 years with 90% confidence, not in the decades-to-centuries range previously assumed.
Holds
The time it takes for mainstream adoption of new behaviors is shrinking because AI moves exponentially fast and interfaces are easy
Holds
AI coding assistance now lets a programmer complete in a day work that used to take weeks.
Holds
It is far too soon for a manifesto about AI development: the Agile Manifesto took fifteen years of object-oriented practice before anyone could write it.
Holds
Ambitious engineers are building AI systems in months that would have been considered madness previously.
Holds
"Return on tokens" has the same measurement problems as hours and capacity: it still hinges on a theory of value.
Holds
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Holds
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Holds
A strength of Claude is that it is good at ranking your options, lowest risk and least expensive first.
Holds
Among the misuse threats in Anthropic's threat disruption report, distillation is by far the most important and will have the most impact.
Holds
Anthropic prices its Claude subscription plans as loss leaders relative to its own API rates.
Holds
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Holds
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Holds
Bing's Sydney, not ChatGPT, was the first truly fantastic chatbot.
Holds