mattwood.fyi

I'm Matt Wood, and this is For Your Information. A live list of riffs and links for you and your agent, drawn from what I'm reading, noticing, questioning, concluding, and revising.

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Taste Is All That's Left

A running theme in Matt Wood’s FYI — 20 items spanning 2026-04-23 – 2026-08-26. This page compounds: new items on this theme are added as they’re posted. Tracked since 2026-08-28.

Tensions

Confessions of a Neotenous Man vs Three Important Steps in My Maturation ProcessCaplan explicitly rejects conventional maturation narratives—prioritizing fun over duties and resisting 'growing up'—directly challenging the value of the maturation process the other piece celebrates
How Organizations Use ChatGPT vs AI is removing the middle class of software engineeringIf ChatGPT usage is high across seniority levels rather than concentrated at junior tiers, it complicates the narrative that AI is specifically hollowing out the middle-skill software engineering layer
Ordinary Abundance vs The Uni-Context: A Philosopher's One-Word Theory to Explain Why the World Feels So WeirdOrdinary Abundance implicitly challenges the 'world feels weird' thesis - by showing historically that each era experienced its own miraculous-to-mundane transitions, it suggests the current sense of dislocation is not uniquely modern but a recurring feature of technological change.
Brunello Cucinelli: Documentary on Philosophy, AI, and Wealth vs Does AI eliminate jobs? Economists find heavy adopters hire more.Cucinelli's philosophy of slow, ethical wealth creation through human craftsmanship tensions with the economist finding that AI-heavy firms hire more—questioning whether growth metrics capture the quality of work and human flourishing
The Creative Power of Invisibility vs Humanising LLM Outputs is DumbThe essay celebrates humanizing/curating creative output as meaningful, directly countering the claim that adding human sensibility to outputs is pointless or dumb
Taste Is All That's Left vs LLMs reward expertise'LLMs reward expertise' argues technical knowledge remains valuable in the AI era, which partially contradicts the taste essay's framing that effort-based filtering has collapsed — expertise may still filter, not just taste
Taste Is All That's Left vs DHH on Omarchy acceleration'Taste Is All That's Left' argues curation/judgment remains irreducibly human, directly pushing back on DHH's implication that token quantity can flatten all problem complexity
Intelligence is not the main bottleneck vs Understanding is the new bottleneckDirectly contradicts the claim that intelligence is the main bottleneck by arguing understanding/comprehension of AI-generated code is the new critical constraint
Intelligence is not the main bottleneck vs The Economics of Recursive Self-ImprovementThe paper's finding that feedback loops aren't yet strong enough for self-sustaining acceleration directly challenges the premise that intelligence alone is insufficient - it suggests the bottleneck may be in the feedback dynamics themselves, not just non-intelligence factors
Intelligence is not the main bottleneck vs Introducing Grok BotGrok Bot frames autonomous 24/7 agents as solving productivity bottlenecks, implicitly countering the argument that intelligence rather than availability is not the main bottleneck
Intelligence is not the main bottleneck vs Compression is prediction'Intelligence is not the main bottleneck' argues against pure capability scaling, but compression-as-prediction suggests intelligence itself may be reducible to compression efficiency — directly challenging claims that intelligence is separable from prediction/compression
Intelligence is not the main bottleneck vs Improving Gpt 5 6 Sol In Chatgpt'Intelligence is not the main bottleneck' argues raw model capability improvements matter less than other factors; OpenAI's focus on improving GPT's problem-solving performance directly contests this framing by prioritizing intelligence gains
Intelligence is not the main bottleneck vs Discovery LoopDiscovery Loop's premise — that parallelizing and accelerating experimental loops via AI is the core value — implicitly challenges the thesis that intelligence is not the main bottleneck, by instead arguing throughput and iteration speed are the binding constraints
Most tech revolutions made work worse for employees. AI could be the exception: this+that vs The most interesting thing in tech: If you are going to give a commencement address in the next couple of weeks, do not mention AI or you might get loud boos. It happened in Florida last week; and it… | Nicholas Thompson | 70 commentsThe commencement address booing of AI mentions signals widespread worker anxiety about AI, directly challenging the new item's optimistic framing that AI could be the exception that benefits employees
Most tech revolutions made work worse for employees. AI could be the exception: this+that vs Ironies of AutomationBainbridge's irony challenges optimistic claims that AI could be different from past automation waves — her 1983 argument predicts AI will similarly degrade human competency and create new, harder-to-manage failure modes for workers
Does AI eliminate jobs? Economists find heavy adopters hire more. vs First They Built a Secular Apocalypse Belief System. Now They Want Religious Authority.Peer-reviewed economist findings on modest labor-market effects undercut the apocalyptic AI belief-system narrative.
Does AI eliminate jobs? Economists find heavy adopters hire more. vs Brunello Cucinelli: Documentary on Philosophy, AI, and WealthCucinelli's philosophy of slow, ethical wealth creation through human craftsmanship tensions with the economist finding that AI-heavy firms hire more—questioning whether growth metrics capture the quality of work and human flourishing
Does AI eliminate jobs? Economists find heavy adopters hire more. vs AI is removing the middle class of software engineeringEconomists finding heavy AI adopters hire more presents a positive labor market view, while the new item specifically argues AI is eliminating the middle tier of software engineers
The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox vs The Economics of Recursive Self-ImprovementThe productivity paradox paper (Dynamo and Computer) contextualizes why recursive AI improvements may not yet translate to measurable economic acceleration - the lag between capability and economic feedback loops
What's Easy Now? What's Hard Now? - Marc's Blog vs Requirements analysis: catching requirement bugs before they become codeRequirements analysis shows that even as coding agents get more capable, ambiguous prompts still produce requirement bugs, complicating optimistic claims about what's 'easy now' for agents.
How One Tech Company Created 13 New Types of Jobs Because of A.I. vs The Flat Curve SocietyDocumented creation of 13 new job categories at a single company directly contradicts the stagnation thesis proposed by the Flat Curve Society.
How One Tech Company Created 13 New Types of Jobs Because of A.I. vs How This Was MadeThe new item's argument that AI adoption struggles to spread beyond early adopters tensions with the case study of one tech company creating 13 new job types — the latter suggests broader organizational transformation is achievable, which the new item's thesis would treat as exceptional rather than typical

Lines of development

Most tech revolutions made work worse for employees. AI could be the exception: this+thatLLMs reward expertiseThe observation that LLMs reward expertise suggests a mechanism for why AI differs from prior tech: rather than deskilling workers as PCs/internet often did, AI amplifies expert human judgment, explaining the potential worker benefit

Items

Confessions of a Neotenous Man

Bryan Caplan reflects on maintaining childlike psychological traits into adulthood—prioritizing fun over duties, embracing curiosity and imagination, and rejecting retirement—while acknowledging how his youthful mindset occasionally puts his aging body at risk.

Neotenous is also a wonderful (relative) neologism.

permalink · www.betonit.ai →

I Should Have Loved Biology

An essay about how biology education fails to convey the wonder and mystery of life by presenting facts without astonishment, and how encountering biology through evocative language and genuine curiosity—rather than rote memorization—transforms understanding of how life actually works.

permalink · jsomers.net →

How Organizations Use ChatGPT

This is all seems pretty straightforward, but this caught my attention:

active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers

This wasn't the case a few years ago, when high-tenure workers were dominant.

permalink · cdn.openai.com →
Ordinary Abundance

An interactive exploration of everyday objects and technologies that were once considered miraculous luxuries, from on-demand music to electric lighting to photography, presented through historical quotes and modern apartment scenes.

Fun visual story telling (and a history I hadn't really thought about this way before)

permalink · ordinaryabundance.com →

The Hardest Working Font in Manhattan

A deep dive into Gorton, an obscure and quirky font that appears everywhere on New York City signage and vintage keyboards, exploring its mysterious origins, unusual letterforms, and surprising prevalence across the city.

Exquisite storytelling for font nerds (and everyone else).

permalink · aresluna.org →

Brunello Cucinelli: Documentary on Philosophy, AI, and Wealth

A documentary exploring luxury fashion designer Brunello Cucinelli's philosophical approach to business, wealth creation, and the intersection of artificial intelligence with modern commerce.

permalink · www.wsj.com →
The Creative Power of Invisibility

Explores how restraint, curation, and subtraction—exemplified by producer Rick Rubin's invisible hand in shaping iconic music—represent the true creative power in an era of algorithmic noise and constant visibility.

permalink · www.linkedin.com →
Parametron

The parametron, invented by Eiichi Goto in 1954, was a bistable circuit element using ferrite cores that enabled the development of early Japanese computers, including the PC-1. Its invention and application in computing had significant historical impact on computer engineering in Japan, influencing multiple major electronics manufacturers and nurturing a new generation of engineers.

Japan’s first university-built stored-program computer which became the nation's then-fastest in 1958

permalink · ethw.org →

Taste Is All That's Left

An essay arguing that as AI collapses the cost and effort of building software, the filtering function that effort once provided disappears, leaving "taste" — the judgment of what deserves to exist — as the remaining meaningful differentiator in software craft.

permalink · notashelf.dev →

Intelligence is not the main bottleneck

An argument that intelligence and technological capability are often not the primary barriers to real-world progress, using examples like medical regulation and housing policy to illustrate how political will, institutional constraints, and regulatory bottlenecks frequently matter more than raw intelligence or AI advancement.

permalink · www.writingruxandrabio.com →

Most tech revolutions made work worse for employees. AI could be the exception: this+that

An analysis of how previous technology revolutions (PCs, the internet, smartphones) typically increased workloads and benefited companies more than employees, and why AI may be different by actually performing work rather than just accelerating it. The piece argues that while AI is currently causing workplace disruption, it has the potential to free up time for creative thinking and collaboration rather than simply raising productivity expectations.

permalink · www.thisandthat.chat →

qm

A multiplayer agent harness for work. In Slack and on the web.

permalink · github.com →

Does AI eliminate jobs? Economists find heavy adopters hire more.

Companies that invest heavily in AI grow headcount 10% over the two years following adoption. Entry-level headcount grows 12%.

permalink · ramp.com →

Sir Clive Sinclair: Tireless Inventor Ahead of His Time

His ZX Spectrum computers brought affordable personal computing to the masses and sold in their millions across the world. But his attempt to launch an electric vehicle was not successful, and caused him severe financial problems.

permalink · www.bbc.com →

The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox

Key argument (from David, 1990, American Economic Review, Vol. 80, No. 2, pp. 355-361):

permalink · www.almendron.com →

What's Easy Now? What's Hard Now? - Marc's Blog

I've been spending a lot of time thinking about the shape of the capabilities of coding agents. What they're good at now, what they're going to be good at. What they're bad at now, how much of that is inherent and how much is transient.

permalink · brooker.co.za →
How One Tech Company Created 13 New Types of Jobs Because of A.I.

Key details from coverage (NYT article paywalled; sourced from aggregated reporting):

permalink · www.nytimes.com →

Agentic Football Cup 2026

Format: Free half-day workshop. Build AI agents, watch them compete in real-time football simulation.

permalink · agenticfootballcup.com →

Import AI 455: AI systems are about to start building themselves.
permalink · importai.substack.com →

crawshaw - 2026-04-22
permalink · crawshaw.io →