Peter Evans-Greenwood
@peter.evans-greenwood.com
Thinking out loud about hybrid agency, crooked paths & coordination without stories. Essays → thepuzzleanditspieces.substack.com
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My latest post, "What Happens in the Gap". The one in which I show what actually has to happen between 'this technology works' and 'productivity explodes.'
My latest post, "What Happens in the Gap". The one in which I show what actually has to happen between 'this technology works' and 'productivity explodes.'
January 28, 2026 at 12:27 AM
My latest post, "What Happens in the Gap". The one in which I show what actually has to happen between 'this technology works' and 'productivity explodes.'
The AI-Powered Web Is Eating Itself
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The commons was already enclosed. We're just watching different landlords fight over who gets to charge rent. None of them actually want to tear down the fences.
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The commons was already enclosed. We're just watching different landlords fight over who gets to charge rent. None of them actually want to tear down the fences.
The AI-Powered Web Is Eating Itself | NOEMA
Without a framework of “Artificial Integrity,” AI search platforms risk collapsing the information commons that made the web possible.
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January 25, 2026 at 9:17 PM
The AI-Powered Web Is Eating Itself
buff.ly/d1sXhtv
The commons was already enclosed. We're just watching different landlords fight over who gets to charge rent. None of them actually want to tear down the fences.
buff.ly/d1sXhtv
The commons was already enclosed. We're just watching different landlords fight over who gets to charge rent. None of them actually want to tear down the fences.
You start in AI trying to build intelligent systems, realize you need to understand what intelligence is, and end up reading Damerow on how cuneiform tablet accounting practices generated the concept of number.
January 23, 2026 at 7:24 AM
You start in AI trying to build intelligent systems, realize you need to understand what intelligence is, and end up reading Damerow on how cuneiform tablet accounting practices generated the concept of number.
Current mood: Evil In Oslo by Hedvig Mollestad Trio music.apple.com/au/album/evi...
Evil In Oslo by Hedvig Mollestad Trio on Apple Music
Album · 2016 · 4 Songs
music.apple.com
January 20, 2026 at 4:09 AM
Current mood: Evil In Oslo by Hedvig Mollestad Trio music.apple.com/au/album/evi...
My latest Substack post, 'LLMs Are Following the Expert Systems Playbook—But the Score Is Different'. The one in which I explain why AI-skilled workers earn 56% more while 95% of enterprise AI pilots fail—and why both signal the same economic retreat.
January 20, 2026 at 12:28 AM
My latest Substack post, 'LLMs Are Following the Expert Systems Playbook—But the Score Is Different'. The one in which I explain why AI-skilled workers earn 56% more while 95% of enterprise AI pilots fail—and why both signal the same economic retreat.
It is fascinating how Damerow’s work strips away the "inevitability" of math. We often treat numbers like universal truths we simply discovered, but he shows they were hard-won cultural artifacts—tools forged to solve specific administrative and accounting crises in Mesopotamia.
January 18, 2026 at 9:17 PM
It is fascinating how Damerow’s work strips away the "inevitability" of math. We often treat numbers like universal truths we simply discovered, but he shows they were hard-won cultural artifacts—tools forged to solve specific administrative and accounting crises in Mesopotamia.
Current mood: loveless by my bloody valentine on music.apple.com/au/album/lov...
loveless by my bloody valentine on Apple Music
Album · 1991 · 11 Songs
music.apple.com
January 18, 2026 at 1:32 AM
Current mood: loveless by my bloody valentine on music.apple.com/au/album/lov...
Current mood: Houdini by Melvins music.apple.com/au/album/hou...
Houdini by Melvins on Apple Music
Album · 1993 · 13 Songs
music.apple.com
January 15, 2026 at 10:21 PM
Current mood: Houdini by Melvins music.apple.com/au/album/hou...
My new Substack post, the one where I trace the 30-year journey from 'motors as fire hazards' to 'networks as infrastructure."
If you like thermodynamic efficiency, historical insurance data, and debunking standard economic myths, this one is for you.
If you like thermodynamic efficiency, historical insurance data, and debunking standard economic myths, this one is for you.
January 13, 2026 at 12:52 AM
My new Substack post, the one where I trace the 30-year journey from 'motors as fire hazards' to 'networks as infrastructure."
If you like thermodynamic efficiency, historical insurance data, and debunking standard economic myths, this one is for you.
If you like thermodynamic efficiency, historical insurance data, and debunking standard economic myths, this one is for you.
An expert isn't someone who knows how things work; an expert is someone who possesses a comprehensive library of how things fail.
January 11, 2026 at 9:17 PM
An expert isn't someone who knows how things work; an expert is someone who possesses a comprehensive library of how things fail.
“aviation emissions could be halved without cutting journeys”
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The study's real value isn't a roadmap—it's a metric. As Gössling suggests, requiring public efficiency ratings (like "F-grade airlines") might pressure change.
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The study's real value isn't a roadmap—it's a metric. As Gössling suggests, requiring public efficiency ratings (like "F-grade airlines") might pressure change.
Revealed: how aviation emissions could be halved without cutting journeys
Exclusive: Getting rid of premium seats, ensuring flights are near full and using efficient aircraft could slash CO2, analysis suggests
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January 9, 2026 at 7:24 AM
“aviation emissions could be halved without cutting journeys”
buff.ly/rgbOMNm
The study's real value isn't a roadmap—it's a metric. As Gössling suggests, requiring public efficiency ratings (like "F-grade airlines") might pressure change.
buff.ly/rgbOMNm
The study's real value isn't a roadmap—it's a metric. As Gössling suggests, requiring public efficiency ratings (like "F-grade airlines") might pressure change.
A characteristically thorough and grounded piece from @rodneyabrooks.bsky.social with his Predictions Scorecard, 2026 January 01.
What makes it solid is his methodical tracking of predictions against reality, combined with his deep historical perspective (50 years in AI/robotics).
What makes it solid is his methodical tracking of predictions against reality, combined with his deep historical perspective (50 years in AI/robotics).
January 8, 2026 at 10:15 AM
A characteristically thorough and grounded piece from @rodneyabrooks.bsky.social with his Predictions Scorecard, 2026 January 01.
What makes it solid is his methodical tracking of predictions against reality, combined with his deep historical perspective (50 years in AI/robotics).
What makes it solid is his methodical tracking of predictions against reality, combined with his deep historical perspective (50 years in AI/robotics).
Today’s “LLM agents” are just prompt-chaining with tools—they simulate intention via recursive function calls, but have no real commitment, no persistent goal stack.
January 7, 2026 at 8:56 AM
Today’s “LLM agents” are just prompt-chaining with tools—they simulate intention via recursive function calls, but have no real commitment, no persistent goal stack.
LLM seem to be following the expert systems trajectory. Wage premiums are the tell: we're paying domain experts to wield pattern matchers, not toolmakers to wield magic. Different technology, same gap between simulation and capability.
January 6, 2026 at 9:08 AM
LLM seem to be following the expert systems trajectory. Wage premiums are the tell: we're paying domain experts to wield pattern matchers, not toolmakers to wield magic. Different technology, same gap between simulation and capability.
My latest, “2025: The Year that Wasn’t”, the one where I explain why 89% of organizations haven’t scaled AI agents: the problem isn’t infrastructure or training—it’s that simulated goals aren’t stable enough to justify the costs.
A squirrel can’t be talked out of wanting birdseed. An AI agent can.
A squirrel can’t be talked out of wanting birdseed. An AI agent can.
January 6, 2026 at 12:48 AM
My latest, “2025: The Year that Wasn’t”, the one where I explain why 89% of organizations haven’t scaled AI agents: the problem isn’t infrastructure or training—it’s that simulated goals aren’t stable enough to justify the costs.
A squirrel can’t be talked out of wanting birdseed. An AI agent can.
A squirrel can’t be talked out of wanting birdseed. An AI agent can.
The Unbearable Joy of Sitting Alone in A Café | Candost's Blog buff.ly/c0E2rdi
The Unbearable Joy of Sitting Alone in A Café
Hunting timeless insights into humans and software and helping others on the way.
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January 4, 2026 at 9:17 PM
The Unbearable Joy of Sitting Alone in A Café | Candost's Blog buff.ly/c0E2rdi
In England, the best predictor of where the Industrial Revolution would take off wasn't the number of libraries, but the density of watchmakers and toolmakers.
December 31, 2025 at 8:56 AM
In England, the best predictor of where the Industrial Revolution would take off wasn't the number of libraries, but the density of watchmakers and toolmakers.
Expertise is knowledge of failure modes, not operational principles.
December 30, 2025 at 9:34 PM
Expertise is knowledge of failure modes, not operational principles.
Robodebt, UK Post Horizon, and now US CMS ift.tt/DMVtWXu
Are We Ready to Be Governed by Artificial Intelligence? - Schneier on Security
Artificial Intelligence (AI) overlords are a common trope in science-fiction dystopias, but the reality looks much more prosaic. The technologies of artificial intelligence are already pervading many…
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December 30, 2025 at 9:08 AM
Robodebt, UK Post Horizon, and now US CMS ift.tt/DMVtWXu
Current mood: Houdini by Melvins music.apple.com/au/album/hou...
Houdini by Melvins on Apple Music
Album · 1993 · 13 Songs
music.apple.com
December 24, 2025 at 1:23 AM
Current mood: Houdini by Melvins music.apple.com/au/album/hou...
My latest Substack post, "We Saw AGI on Mars", the one in which I explain why LLMs are sophisticated combinational engines, not AGI—and why the difference matters. Hint: it's about existential stakes vs. statistical surprises. The canals are in the mirror.
December 23, 2025 at 12:23 AM
My latest Substack post, "We Saw AGI on Mars", the one in which I explain why LLMs are sophisticated combinational engines, not AGI—and why the difference matters. Hint: it's about existential stakes vs. statistical surprises. The canals are in the mirror.
Current mood: Bees In The Bonnet by Hedvig Mollestad Trio music.apple.com/au/album/bee...
Bees In The Bonnet by Hedvig Mollestad Trio on Apple Music
Album · 2025 · 6 Songs
music.apple.com
December 23, 2025 at 12:08 AM
Current mood: Bees In The Bonnet by Hedvig Mollestad Trio music.apple.com/au/album/bee...
My latest Substack post, "The Present is Legible: Why your 2027 forecast is making you blind". The one where I show why squirrels, Wayne Gretzky, and Netflix all succeeded the same way: reading resistance instead of predicting futures.
December 17, 2025 at 9:48 PM
My latest Substack post, "The Present is Legible: Why your 2027 forecast is making you blind". The one where I show why squirrels, Wayne Gretzky, and Netflix all succeeded the same way: reading resistance instead of predicting futures.
New Kindle Feature Uses AI to Answer Questions About Books—And Authors Can't Opt Out - Reactor buff.ly/1X1sgj4
Can someone explain why why answering “Who is Lady Macbeth?” or “What happened in Chapter 3?” would require a license?
Can someone explain why why answering “Who is Lady Macbeth?” or “What happened in Chapter 3?” would require a license?
New Kindle Feature Uses AI to Answer Questions About Books—And Authors Can't Opt Out - Reactor
The new feature, called Ask this Book, is already drawing controversy and unanswered questions.
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December 14, 2025 at 9:17 PM
New Kindle Feature Uses AI to Answer Questions About Books—And Authors Can't Opt Out - Reactor buff.ly/1X1sgj4
Can someone explain why why answering “Who is Lady Macbeth?” or “What happened in Chapter 3?” would require a license?
Can someone explain why why answering “Who is Lady Macbeth?” or “What happened in Chapter 3?” would require a license?
The grifters were prepare for the gov’s age verification, of the mark on the first day with fishing emails,
December 11, 2025 at 9:42 PM
The grifters were prepare for the gov’s age verification, of the mark on the first day with fishing emails,