Tag: newsletter
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Relative to your interests, Tuesday
The above is an excerpt from the interview with Caleb about platform as a product. He’s been on that scene since the beginning, starting at State Farm. I updated our platform as a product paper recently, so it was fun to ask him “do people still do this stuff”? ICYMI Original content published since last…
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Relative to your interests, Wednesday
Gemini crossed a billion users, most of them just talking to it. Eight Pulitzer winners admitted to using AI. Adobe moved its whole suite inside ChatGPT, which I think is the correct move: the stuff you can reach through an agent is the stuff you keep paying for. Also: agent skills escaping the laptop, DOGE’s…
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Relative to your interests, Friday
From: The adorable love story behind Wikipedia’s ‘high five’ photos ICYMI Original content published since last time. Shadow AI and Who Is Watching What the AI Bill Actually Looks Like People Actually Using It More Wastebook All things are possible, but this thing is more possible. AI Summaries I wanted to read these, but I…
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Who Crapped on Johnny Depp’s Bed?
“A wolf-man ironing a duck.” Amazing as always – Bobby Fingers is some kind of new art form and social critic-ing. 🔗 Who Crapped on Johnny Depp’s Bed?
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The ‘Breaking’ News: The OpenAI-Hugging Face Incident
Black Hat USA 2026, Eric (alignment and safety research, OpenAI) and Mike (security and infrastructure, OpenAI). Summarized by AI. 🔗 The ‘Breaking’ News: The OpenAI-Hugging Face Incident
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How People Work, Live! … with Russell Davies
Dan Hon in conversation with Russell Davies, How People Work Live episode 4. Summarized by AI. 🔗 How People Work, Live! … with Russell Davies
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Relative to your interests, Thursday
From Marc Weidenbaum, June 22, 2026. ICYMI Original content published since last time. Where the Developer Day Actually Goes Theoretic charts: Only three of the eight bands move. Source: The AI productivity gap by Bjorn Roche. Juniors spend more of the day on the one thing AI speeds up, so they gain more, not less.…
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AI agents can’t yet do open-ended AI research
Two case studies testing whether AI agents can conduct open-ended AI research, the milestone underpinning recursive self-improvement and forecasts of explosive AI progress. The early evidence is that they cannot yet, and that benchmarks have been the dominant and imperfect way of measuring it. Summarized by AI. 🔗 AI agents can’t yet do open-ended AI…
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The AI productivity gap
Coding is only one to three hours of a developer’s day, so a 3x AI speedup on code yields ~15% total time savings for seniors and ~25% for juniors. Juniors gain more because they spend more time coding, which inverts the we only hire seniors now because AI does junior work claim. 🔗 The AI…
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Larry Ellison Bet It All on the A.I. Boom. Will He Be the Face of the A.I. Bubble?
Larry Ellison’s debt-funded scramble to turn Oracle into an AI hyperscaler, from the January 2025 White House announcement of Project Stargate – as much as $500 billion over four years across 500,000-square-foot data centres producing 10 gigawatts – to a credit rating now a notch above junk and steeper interest rates from lenders. Ellison is…
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Big Tech’s PR Playbook for Overcoming Data Center Opponents
The data center industry has imported tobacco and fossil fuel influence tactics: opaque nonprofit front groups sharing website templates and ad IDs, super PAC-funded influencers and sockpuppet accounts, and community forums engineered to keep residents off the microphone. It works because property tax limits have left municipalities dependent on exactly this kind of capital, and…
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Research: How AI Agents Broaden the Scope of Knowledge Work
Perplexity’s own research team compares its conversational assistant against its autonomous agent across Feb-May 2026, finding the agent runs ~48x longer per session, cuts task time 87% and cost 94%, and gets used for work people never attempted before: 23% of agent tasks had no assistant analogue, requests crossed occupational boundaries 59% of the time,…
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Inside Nadella’s hardest year: Is Microsoft’s North Star also a noose?
Microsoft’s early AI bet has become a threat to its own foundations: M365 is being bypassed by chat interfaces, GitHub is losing developers to Cursor and Claude Code, and Azure customers are getting the compute left over after Microsoft feeds its own AI products. Meanwhile $190B in capex, a stock down 24%, capacity shopping from…
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Relative to your interests, Friday
Metric Theater in AI ROI dashboards, Visa collapsing ten-person dev teams, AT&T burning a trillion tokens a month, and COBOL still running 95% of ATM transactions. Plus Kubernetes won the argument and promptly became the problem.
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Relative to your interests, Thursday
The return of the 3 R’s!!! These were the best R’s. – “A decade ago, Pivotal published a security manifesto, a radical call to action of sorts, via a blog post that broke the glass of traditional security culture inside of enterprise IT. The premise was faster is safer, a radical departure from the calcified,…
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Relative to your interests, Wednesday
After reading many of the below and other links in elusive enterprise AI ROI, I wrote this theory on how to be successful with enterprise AI projects. It’s the usual “culture” cliché, but hopefully a little more practical than usual. Are PMs becoming irrelevant? – Once you remove the need for a bunch of “paperwork,”…
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Relative to your interests, Tuesday
I have been on vacation for a little while, in Finland for the third time. Finland feels different than the other parts of Europe I have been to. Perhaps it’s because I spent my time there in rural Finland. But it also feels like most of Finland is rural. In that way, it feels a…
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Ben Brown – 2026-06-28
All of the planets are deserts, populated only sparsely by aliens races that look like they escaped a BBC show from the 80s. 🔗 Ben Brown – 2026-06-28
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Prince – You Must Die
Prince is saying that you should be more worried about losing your mind than you should be about mortality. 🔗 Prince – You Must Die
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Why AI Coding Costs Are Spiraling: Context, Not Usage, Is the Real Culprit
Futurum data shows 55.4% of enterprises (n=820) identify AI agent reliability and hallucination management in production as a top challenge, and 50.4% (n=736) actively monitor accuracy and hallucination rates as a formal inference metric. 🔗 Why AI Coding Costs Are Spiraling: Context, Not Usage, Is the Real Culprit
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