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← Nobody wants a slow model, which is why labs will not trade inference…
17 connected korrents · 16 moments from 11 Jun 2021 to 22 Oct 2026.
Everything filed under scaling laws
scaling laws
Everything filed under Anthropic
Anthropic
Everything filed under semiconductors
semiconductors
Everything filed under benchmarks
benchmarks
Everything filed under compilers
compilers
Everything filed under LLMs
LLMs 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: Nobody wants a slow model, which is why labs will not trade inference speed for cheaper memory even though they easily could. Nobody wants a slow model, which is why labs will not trade inference speed for cheaper memory even though they easily could. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: Inference, not training, is now the constraint, and specialized low-energy hardware will beat general-purpose GPUs and TPUs on latency. — tap to centre the map on it Inference, not training, is now the constraint, and specialized low-energy hardware will beat general-purpose GPUs and TPUs on latency. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Falling back to older 7-nanometre chips would not rescue AI compute, because the real gap between chip generations is twentyfold, not the threefold the flops suggest. — tap to centre the map on it Falling back to older 7-nanometre chips would not rescue AI compute, because the real gap between chip generations is twentyfold, not the threefold the flops suggest. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles. — tap to centre the map on it Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles. Last stated 2 months ago
11 Aug 2026
RG
Ryan Greenblatt — holds since 2026-08-11 — tap for who they are
Same subject: Inference is a high-margin business even for a middleman: renting GPUs at scale, some models carry an eighty per cent margin over their sticker price. — tap to centre the map on it Inference is a high-margin business even for a middleman: renting GPUs at scale, some models carry an eighty per cent margin over their sticker price. Last stated 5 months ago
27 May 2026
DR
Dax Raad — holds since 2026-05-27 — tap for who they are
Same subject: Criticism that a simpler, scaled-up architecture underperforms a heavily hand-optimized baseline actually demonstrates why that architecture-scaling research matters. — tap to centre the map on it Criticism that a simpler, scaled-up architecture underperforms a heavily hand-optimized baseline actually demonstrates why that architecture-scaling research matters. Last stated 5 years ago
11 Jun 2021
GW
Gwern — holds since 2021-06-11 — tap for who they are
Same subject: There is no excuse for software to be slow anymore. — tap to centre the map on it There is no excuse for software to be slow anymore. Last stated 4 weeks ago
27 Sept 2026
GR
Guillermo Rauch — holds since 2026-09-08 — tap for who they are
DH
David Heinemeier Hansson — holds since 2026-09-27 — tap for who they are
Same subject: An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. — tap to centre the map on it An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans. Last stated a year ago
15 Aug 2025
CH
Casey Handmer — holds since 2025-08-15 — tap for who they are
Same subject: Building capacity at massive scale on a single hardware generation is the trap; pacing matters more than gigawatts. — tap to centre the map on it Building capacity at massive scale on a single hardware generation is the trap; pacing matters more than gigawatts. Last stated 11 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — tap for who they are
Same subject: "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. — tap to centre the map on it "I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. — tap to centre the map on it A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year. Last stated 2 months ago
3 Sept 2026
DR
Dax Raad — holds since 2026-09-03 — tap for who they are
Same subject: A skill is a set of repeatable, specific instructions that augments what Claude Code can do. — tap to centre the map on it A skill is a set of repeatable, specific instructions that augments what Claude Code can do. Last stated 7 months ago
19 Mar 2026
KP
Kris Puckett — holds since 2026-03-19 — tap for who they are
Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. Last stated 11 months ago
25 Nov 2025
IS
Ilya Sutskever — holds since 2025-11-25 — tap for who they are
Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. Last stated 4 months ago
26 Jun 2026
NB
Noam Brown — holds since 2026-06-26 — tap for who they are
Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. Last stated 7 months ago
13 Mar 2026
DP
Dylan Patel — holds since 2026-03-13 — tap for who they are
Same subject: AI companies are building powerful and beautiful walled gardens. — tap to centre the map on it AI companies are building powerful and beautiful walled gardens. Last stated today
22 Oct 2026
KD
Kent C. Dodds — holds since 2026-10-22 — tap for who they are
Same subject: Anthropic or OpenAI's revenue could equal or exceed the combined revenue of Elon Musk's public companies within the next one to two years. — tap to centre the map on it Anthropic or OpenAI's revenue could equal or exceed the combined revenue of Elon Musk's public companies within the next one to two years. Last stated 2 months ago
7 Aug 2026
DT
Derek Thompson — holds since 2026-08-07 — tap for who they are
Same subject: Anthropic's new credit scheme goes some way to overcoming the difference with OpenAI's Codex subscription deal. — tap to centre the map on it Anthropic's new credit scheme goes some way to overcoming the difference with OpenAI's Codex subscription deal. Last stated 2 weeks ago
7 Oct 2026
SW
Simon Willison — holds since 2026-10-07 — tap for who they are
At the centre
Nobody wants a slow model, which is why labs will not trade inference speed for cheaper memory even though they easily could.
Holds Read this korrent →
Inference, not training, is now the constraint, and specialized low-energy hardware will beat general-purpose GPUs and TPUs on latency.
Holds
Falling back to older 7-nanometre chips would not rescue AI compute, because the real gap between chip generations is twentyfold, not the threefold the flops suggest.
Holds
Token prices have stayed flat because labs deliberately kept models smaller than expected in order to get more experimental cycles.
Holds
Inference is a high-margin business even for a middleman: renting GPUs at scale, some models carry an eighty per cent margin over their sticker price.
Holds
Criticism that a simpler, scaled-up architecture underperforms a heavily hand-optimized baseline actually demonstrates why that architecture-scaling research matters.
Holds
There is no excuse for software to be slow anymore.
Holds
An AI as good as a top researcher will not be priced like one, because it competes against the other labs rather than against humans.
Holds
Building capacity at massive scale on a single hardware generation is the trap; pacing matters more than gigawatts.
Holds
"I don't know" becomes a kind of superpower when you can work with Claude Code to figure things out.
Holds
A benchmark that ranks Claude Code last while it stays first in use is measuring the wrong thing, and has been for a year.
Holds
A skill is a set of repeatable, specific instructions that augments what Claude Code can do.
Holds
"Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next.
Holds
A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.
Holds
A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from.
Holds
AI companies are building powerful and beautiful walled gardens.
Holds
Anthropic or OpenAI's revenue could equal or exceed the combined revenue of Elon Musk's public companies within the next one to two years.
Holds
Anthropic's new credit scheme goes some way to overcoming the difference with OpenAI's Codex subscription deal.
Holds