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← Choosing an AI vendor on features is the wrong criterion: the best…
17 connected korrents · 16 moments on record from 22 Apr 2024 to 3 Sept 2026.
Everything filed under Apple
Apple
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semiconductors
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Everything filed under coding agents
coding agents 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: Choosing an AI vendor on features is the wrong criterion: the best software with nobody to help you train it is the wrong purchase for almost everyone. Choosing an AI vendor on features is the wrong criterion: the best software with nobody to help you train it is the wrong purchase for almost everyone. Last stated 8 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: Almost nobody should build their own AI go-to-market tools; buy them, the way you would buy any other software. — tap to centre the map on it Almost nobody should build their own AI go-to-market tools; buy them, the way you would buy any other software. Last stated 8 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: AI sales agents do not work out of the box; the training is the product. — tap to centre the map on it AI sales agents do not work out of the box; the training is the product. Last stated 8 months ago
1 Jan 2026
JL
Jason Lemkin — holds since 2026-01-01 — tap for who they are
Same subject: AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. — tap to centre the map on it AI cannot get a product to the quality bar on its own, because it still works in the realm of averages. Last stated 11 months ago
16 Oct 2025
DF
Dylan Field — holds since 2025-10-16 — tap for who they are
Same subject: Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. — tap to centre the map on it Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. Last stated 4 weeks ago
12 Aug 2026
CF
Chelsea Finn — holds since 2026-08-12 — tap for who they are
Same subject: Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least. — tap to centre the map on it Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least. Last stated a year ago
23 Mar 2025
RV
Rahul Vohra — holds since 2025-03-23 — tap for who they are
Same subject: If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on. — tap to centre the map on it If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on. Last stated 4 weeks ago
8 Aug 2026
PL
Pieter Levels — holds since 2026-08-08 — tap for who they are
Same subject: In AI, how good your training data is matters more than how long you train on it. — tap to centre the map on it In AI, how good your training data is matters more than how long you train on it. Last stated 2 years ago
20 Aug 2024
PL
Pieter Levels — holds since 2024-08-20 — tap for who they are
Same subject: A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. — tap to centre the map on it A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on. Last stated 4 days ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. — tap to centre the map on it A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Last stated a year ago
7 Jun 2025
GM
Gary Marcus — holds since 2025-06-07 — tap for who they are
Same subject: A language model is not using language at all, because language requires an intention to communicate. — tap to centre the map on it A language model is not using language at all, because language requires an intention to communicate. Last stated 2 years ago
31 Aug 2024
TC
Ted Chiang — holds since 2024-08-31 — tap for who they are
Same subject: A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. — tap to centre the map on it A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. Last stated 2 years ago
22 Apr 2024
SC
Sean Carroll — holds since 2024-04-22 — tap for who they are
Same subject: A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it. — tap to centre the map on it A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it. Last stated 3 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud. — tap to centre the map on it A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud. Last stated 5 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: A semiconductor fab costs what it costs because it is a mass-production factory that has to hold atomic precision around the clock. — tap to centre the map on it A semiconductor fab costs what it costs because it is a mass-production factory that has to hold atomic precision around the clock. Last stated 2 years ago
3 May 2024
BP
Brian Potter — holds since 2024-05-03 — tap for who they are
Same subject: A big switch to desktop Linux is coming, at least among developers, because there is enough dissatisfaction with both Apple and Microsoft. — tap to centre the map on it A big switch to desktop Linux is coming, at least among developers, because there is enough dissatisfaction with both Apple and Microsoft. Last stated a year ago
26 Jun 2025
DH
David Heinemeier Hansson — holds since 2025-06-26 — tap for who they are
Same subject: An operating system should put its users on the same level as its maker: no two-tier system where the vendor makes the real thing and you patch around it. — tap to centre the map on it An operating system should put its users on the same level as its maker: no two-tier system where the vendor makes the real thing and you patch around it. Last stated 2 weeks ago
25 Aug 2026
DH
David Heinemeier Hansson — holds since 2026-08-25 — tap for who they are
Same subject: Apple has more reason to stumble now than ever: terribly behind on AI, faltering software quality, rivals catching up on silicon, and a leadership too old to relearn. — tap to centre the map on it Apple has more reason to stumble now than ever: terribly behind on AI, faltering software quality, rivals catching up on silicon, and a leadership too old to relearn. Last stated a year ago
12 Jul 2025
DH
David Heinemeier Hansson — holds since 2025-07-12 — tap for who they are
At the centre
Choosing an AI vendor on features is the wrong criterion: the best software with nobody to help you train it is the wrong purchase for almost everyone.
Holds JL Jason LemkinRead this korrent →
Almost nobody should build their own AI go-to-market tools; buy them, the way you would buy any other software.
Holds JL Jason Lemkin
AI sales agents do not work out of the box; the training is the product.
Holds JL Jason Lemkin
AI cannot get a product to the quality bar on its own, because it still works in the realm of averages.
Holds DF Dylan Field
Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful.
Holds CF Chelsea Finn
Which AI features users will love is genuinely unpredictable, and the ones a founder is most confident about are the ones that get used least.
Holds RV Rahul Vohra
If nobody creates content any more because everyone just asks an AI, there is nothing left for AI to train on.
Holds
In AI, how good your training data is matters more than how long you train on it.
Holds
A coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.
Holds
A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted.
Holds GM Gary Marcus
A language model is not using language at all, because language requires an intention to communicate.
Holds TC Ted Chiang
A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human.
Holds SC Sean Carroll
A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it.
Holds LT Lip-Bu Tan
A homebuilt accelerator forces you to be your own operator; Nvidia systems are designed for anyone to operate, which is why they are in every cloud.
Holds JH Jensen Huang
A semiconductor fab costs what it costs because it is a mass-production factory that has to hold atomic precision around the clock.
Holds BP Brian Potter
A big switch to desktop Linux is coming, at least among developers, because there is enough dissatisfaction with both Apple and Microsoft.
Holds
An operating system should put its users on the same level as its maker: no two-tier system where the vendor makes the real thing and you patch around it.
Holds
Apple has more reason to stumble now than ever: terribly behind on AI, faltering software quality, rivals catching up on silicon, and a leadership too old to relearn.
Holds