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Nathan Lambert
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colloquium — A markdown native slides tool for academics building with agents.
citations academics comparisons
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19 September
Machine-learning researcher on open language models; writes the Interconnects newsletter and the RLHF Book, after leading post-training at Ai2.
Seems like one of the most important research problems for CS academics is llm-supervised peer review. If we don’t solve it the academic institutions are toast. It seems easier than building new institutions. LLMs Related
17 September
Statistician at Columbia; writes Statistical Modeling, Causal Inference, and Social Science, and wrote Bayesian Data Analysis.
Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.
The Harness Margin Opportunity A UC Berkeley study finds the harness sets the price of an answer : GPT-5.6 Sol costs 71% less on Pi than on Claude Code, the same model returning the same result, & none of the 42 harness comparisons shows a statistica…
Anthropic OpenAI Related
16 September
Theoretical physicist and philosopher, Homewood Professor of Natural Philosophy at Johns Hopkins and fractal faculty at the Santa Fe Institute. Writes the Preposterous Universe blog and hosts the Mindscape podcast.
Young academics interested in democracy: check out the postdoc program at the SNF Agora Institute at Johns Hopkins! @snfagora.bsky.social snfagora.jhu.edu
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Professor of international affairs at Johns Hopkins SAIS and co-author, with Abraham Newman, of Underground Empire: How America Weaponized the World Economy.
I'm curious how this is going to go down. Collective wisdom among academics who study this stuff (unsurprising if you think about it) is that consumer facing businesses are a hell of a lot more vulnerable to brand damage and boycotts. Related
15 September
Sociologist at Duke University writing on markets, exchange and moral order, and on plain-text and data-visualisation tools for social science.
Targeted flattery-spam/phishing aimed at harmless academics like me is leveling up! Book Club rubbish is so last month. Thanks, LLMs! I just got a highly elaborate six-paragraph one “from” Emily St John Mandel (of Station Eleven fame). The choice of author to impersonate is really quite clever. Like the book club spam, it’s trawling for somewhat vain people who are susceptible to flattery, which of course excludes academic authors [puts hand to ear] sorry I’m just getting an update LLMs Related
14 September
Writer and academic, author of The Cult of Smart and How Elites Ate the Social Justice Movement; writes a daily newsletter on politics, education and culture.
9 September
Founder and editor-in-chief of MacStories, writing about Apple software, iPad workflows and automation since 2009. He co-hosts the AppStories podcast.
Apple’s Surprise and Shine Event: By the Numbers Apple covered a lot of ground at today’s Surprise and Shine event, and the numbers help put the announcements in perspective. After every Apple event, we like to collect the notable specs, comparisons, and other stats f…
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Co-founder and chief investment officer of Cambria Investment Management. He has written several books on quantitative asset allocation, blogs at Meb Faber Research and hosts The Meb Faber Show.
Incredible new investment tool via @ckaiwu ETF screener Fund comparisons Compare a fund to its own history and my favorite...analyze a random fund! RIP to dozens of websites app.sparklinecapital.com
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8 September
Chief AI Scientist at Databricks, after its acquisition of MosaicML, where he was a founding team member; known for the Lottery Ticket Hypothesis from his MIT PhD (ICLR 2019 Best Paper).
You can take the academics out of academia, but... Related
7 September
Co-founder and CEO of Shopify; long-time Linux user and Omarchy contributor.
2 September
Co-founder of Superlogical, started in 2026 to build server-side terminal infrastructure; creator of Ghostty. Co-founded HashiCorp and created Vagrant and Terraform before that.
The Superlogical server is built to run anywhere and everywhere and serve a level of scale (terminals+clients) unmatched w/ prior solutions. So let's start talking about that, starting with memory usage and comparisons to other popular multiplexers. I want to start by talking high level: why does terminal/client scale matter? This matters because we're seeing unprecedented terminal usage and client attachment mainly due to AI. They like to spawn more sessions than we've ever seen, and they are all their own clients. So we have to optimize it. Even if you don't use AI/agents, this just makes t… Related
31 August
Founder of Trilogy Software and principal of Alpha School, the private school network built around two hours a day of AI-delivered mastery learning.
From one piece
How to Accelerate Learning & Improve Education | Joe Liemandt
2 beliefs, in the piece's order there
Their words
The level of academics that those students know is very low because the parents have basically abandoned that and said, "I care all about the life skills." For parents who really care about academics, those kids crush it.
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youtube.com
America
Their words
We have sort of how you treat academics and how you treat sports. And if we took the sports ethos and the athletic ethos in America and we applied it to academics, we would fix every academic problem in this country.
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youtube.com
7 July
Software architect and futurist; founded ClariNet, chaired the EFF, and has written about robocars for two decades.
self-driving cars
Their words
More data for better comparisons are good. Now everybody has to do it, and regulators and the public have to learn to look at only the data, and not individual incidents
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ideas.4brad.com
26 June
AI researcher at OpenAI; built the poker systems Libratus and Pluribus and the Diplomacy agent Cicero, and works on reasoning models.
benchmarks
Their words
I think the reason why it doesn't show up as so much better on the benchmarks is because the benchmarks are being presented, the benchmark results are being presented in the wrong way. They're not controlling for the amount of test time compute that is being used on that benchmark question.
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11 June
Writes on effective altruism, energy and the arithmetic behind arguments people repeat — including how much electricity a chatbot query actually uses.
4 June
JavaScript programmer; creator of the jQuery library, author of Secrets of the JavaScript Ninja, and long-time engineer at Khan Academy.
My pie-in-the-sky requests for @CloudflareDev to overhaul corporate web dev: * Fully hosted private Git + CI + "Pull Requests" * Playwright end-to-end test running and result collection * Storybook hosting + shapshot comparisons * Private NPM package registry hosting Related
12 April
Writes on effective altruism, energy and the arithmetic behind arguments people repeat — including how much electricity a chatbot query actually uses.
29 March
Engineer and writer on machine-learning systems; author of Designing Machine Learning Systems and AI Engineering. "I work to bring AI into production. I write about AI system design."
Google
Their words
And I feel like it's a very human way of doing web search, right? Because we enter things in the Google and we see all the like citations, the quotations part. But like why would we limit AI to that? If AI already visit a page, why don't just pull the entire page out?
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20 November 2025
Writer and academic, author of The Cult of Smart and How Elites Ate the Social Justice Movement; writes a daily newsletter on politics, education and culture.
29 August 2025
China economy researcher based in Beijing who writes on his personal blog about Chinese political economy, history, books and music.
Nothing matches. Show everything
A korrent is a belief a person has stated in their own words: one
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