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← In hardware you cannot afford a mistake, because today's work ships…
17 connected korrents · 18 moments from 28 Feb 2023 to 25 Sept 2026.
Everything filed under semiconductors
semiconductors
Everything filed under coding agents
coding agents
Everything filed under startups
startups
Everything filed under AI slop
AI slop
Everything filed under code generation
code generation
Everything filed under software performance
software performance
Everything filed under cybersecurity
cybersecurity
Everything filed under Japan
Japan 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: In hardware you cannot afford a mistake, because today's work ships two years later and fixing an error can cost another year. In hardware you cannot afford a mistake, because today's work ships two years later and fixing an error can cost another year. Last stated 7 months ago
12 Apr 2026
ES
Evan Spiegel — holds since 2026-04-12 — tap for who they are
Same subject: A year from now every coding model on the market will still take a bad instruction at face value and go fix the listed issues, where a human senior engineer would insist on a rewrite. — tap to centre the map on it A year from now every coding model on the market will still take a bad instruction at face value and go fix the listed issues, where a human senior engineer would insist on a rewrite. Last stated 5 months ago
24 May 2026
DS
Dan Shipper — holds since 2026-05-24 — tap for who they are
Same subject: Software cannot reach its next level until somebody builds the next level of hardware underneath it. — tap to centre the map on it Software cannot reach its next level until somebody builds the next level of hardware underneath it. Last stated 5 months ago
7 Jun 2026
TF
Tony Fadell — holds since 2026-06-07 — tap for who they are
Same subject: A hardware company can be doing everything right and still fail the Rule of 40 for years. — tap to centre the map on it A hardware company can be doing everything right and still fail the Rule of 40 for years. Last stated 5 months ago
15 Jun 2026
BF
Brad Feld — holds since 2026-06-15 — tap for who they are
Same subject: The low-quality software that AI makes possible is a mistake to bemoan, because the alternative it replaces was no software at all, not high-quality software. — tap to centre the map on it The low-quality software that AI makes possible is a mistake to bemoan, because the alternative it replaces was no software at all, not high-quality software. Last stated 2 months ago
20 Sept 2026
JB
Jamie Brandon — holds since 2026-09-20 — tap for who they are
Same subject: Nvidia should build only what would not otherwise exist — twenty years of CUDA at a loss is the test, and the world already has plenty of clouds. — tap to centre the map on it Nvidia should build only what would not otherwise exist — twenty years of CUDA at a loss is the test, and the world already has plenty of clouds. Last stated 7 months ago
15 Apr 2026
JH
Jensen Huang — holds since 2026-04-15 — tap for who they are
Same subject: You can now generate ten thousand variants of a function faster than you could write it once, and that economics pushes software towards replacement rather than repair. — tap to centre the map on it You can now generate ten thousand variants of a function faster than you could write it once, and that economics pushes software towards replacement rather than repair. Last stated 3 months ago
12 Aug 2026
CM
Charity Majors — holds since 2026-08-12 — tap for who they are
Same subject: Giving up a decade or more of hardware performance to make programming more comfortable is not an acceptable trade. — tap to centre the map on it Giving up a decade or more of hardware performance to make programming more comfortable is not an acceptable trade. Last stated 4 years ago
28 Feb 2023
CM
Casey Muratori — holds since 2023-02-28 — tap for who they are
Same subject: Finding vulnerabilities in code has become cheaper, but reproducing, fixing, reviewing and backporting the fixes has not. — tap to centre the map on it Finding vulnerabilities in code has become cheaper, but reproducing, fixing, reviewing and backporting the fixes has not. Last stated a month ago
25 Sept 2026
JK
Jean-Baptiste Kempf — holds since 2026-09-25 — tap for who they are
Same subject: A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. — tap to centre the map on it A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. Last stated a month ago
22 Sept 2026
TC
Tyler Cowen — holds since 2026-09-22 — tap for who they are
Same subject: A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome. — tap to centre the map on it A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade. — tap to centre the map on it A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade. Last stated 3 months ago
26 Jul 2026
JH
Jensen Huang — holds since 2026-07-26 — tap for who they are
Same subject: AI data centers have shifted from about 1 CPU per 8 GPUs to roughly 1:4, and the ratio could shrink to 1:1. — tap to centre the map on it AI data centers have shifted from about 1 CPU per 8 GPUs to roughly 1:4, and the ratio could shrink to 1:1. Last stated a month ago
24 Sept 2026
GO
Gergely Orosz — holds since 2026-09-24 — tap for who they are
Same subject: AI workloads are best served by clouds that bundle power, data center infrastructure and GPUs and strip out unnecessary software layers. — tap to centre the map on it AI workloads are best served by clouds that bundle power, data center infrastructure and GPUs and strip out unnecessary software layers. Last stated 2 months ago
8 Sept 2026
CP
Chamath Palihapitiya — holds since 2026-09-08 — 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 12 months ago
12 Nov 2025
SN
Satya Nadella — holds since 2025-11-12 — 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 5 months ago
18 Jun 2026
LT
Lip-Bu Tan — holds since 2026-06-18 — tap for who they are
Same subject: The copyright problem in AI training already has a legal solution nobody is taking: train the models in Japan, where copyright does not apply to training data. — tap to centre the map on it The copyright problem in AI training already has a legal solution nobody is taking: train the models in Japan, where copyright does not apply to training data. Last stated 2 years ago
3 Feb 2025
DP
Dylan Patel — holds since 2025-02-03 — tap for who they are
Same subject: A country is primarily for its native people — tap to centre the map on it A country is primarily for its native people Last stated a year ago
15 Sept 2025
DH
David Heinemeier Hansson — holds since 2025-09-15 — tap for who they are
At the centre
In hardware you cannot afford a mistake, because today's work ships two years later and fixing an error can cost another year.
Holds Read this korrent →
A year from now every coding model on the market will still take a bad instruction at face value and go fix the listed issues, where a human senior engineer would insist on a rewrite.
Holds
Software cannot reach its next level until somebody builds the next level of hardware underneath it.
Holds
A hardware company can be doing everything right and still fail the Rule of 40 for years.
Holds
The low-quality software that AI makes possible is a mistake to bemoan, because the alternative it replaces was no software at all, not high-quality software.
Holds
Nvidia should build only what would not otherwise exist — twenty years of CUDA at a loss is the test, and the world already has plenty of clouds.
Holds
You can now generate ten thousand variants of a function faster than you could write it once, and that economics pushes software towards replacement rather than repair.
Holds
Giving up a decade or more of hardware performance to make programming more comfortable is not an acceptable trade.
Holds
Finding vulnerabilities in code has become cheaper, but reproducing, fixing, reviewing and backporting the fixes has not.
Holds
A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute.
Holds
A chip that can do nothing but low-precision dense linear algebra is enough for machine learning, even though it cannot run Chrome.
Holds
A computer company has to live five to ten years in the future, because a system takes three years to build, two to ramp, and is then used for a decade.
Holds
AI data centers have shifted from about 1 CPU per 8 GPUs to roughly 1:4, and the ratio could shrink to 1:1.
Holds
AI workloads are best served by clouds that bundle power, data center infrastructure and GPUs and strip out unnecessary software layers.
Holds
Building capacity at massive scale on a single hardware generation is the trap; pacing matters more than gigawatts.
Holds
A government taking a stake in its chipmaker is ordinary infrastructure policy — Taiwan, Japan and Singapore all did it.
Holds
The copyright problem in AI training already has a legal solution nobody is taking: train the models in Japan, where copyright does not apply to training data.
Holds
A country is primarily for its native people
Holds