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16 September
Professor of economics at George Mason University and Bartley J. Madden Chair at the Mercatus Center. Co-writes the blog Marginal Revolution and co-authors the textbook Modern Principles of Economics with Tyler Cowen.
Monitoring COT and communication between agents is also getting more difficult as networks get bigger and models become more advanced, according to @ConnorTabarrok, policy lead at Equistamp, a startup that provides safety evaluations for AI projects. itbrew.com
startups Related
CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.
Secure builds (in-VPC / VPN / static IP) are now 64% faster to start. Given how common data access at deployment time is on Vercel (e.g: for pre-rendering), we developed a capability for our build microVMs to join secure networks. This is now way faster! Quoting @vercel_dev Secure Compute and Static IP builds now start 64% faster. Builds used to boot a fresh container with the network attached. They now claim a prewarmed one and attach it on the way in. Related
15 September
Writer of the 25iq blog, where he distils "a dozen things I've learned" from investors, founders and thinkers. Author of Charlie Munger: The Complete Investor and A Dozen Lessons for Entrepreneurs.
“The United States now has on-orbit space control weapons capable of defending the joint force against hostile adversary action.” The best way to assure communications is with a distributed system that routes around failure. Redundant networks FTW. washingtonpost.com
America Related
8 September
Essayist; writes Astral Codex Ten, previously Slate Star Codex.
Their words
researchers started by seeking a 1:1 mapping between neurons and concepts, like a neuron that always fired when the AI was thinking about cats, but quickly learned that nothing like that existed.
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astralcodexten.com
4 September
Mathematical physicist at UC Riverside. Wrote This Week's Finds in Mathematical Physics and now the Azimuth blog on mathematics, physics and environmental science.
I wish AI didn't exist, but people are charging ahead with it. Here's an interview with Ajeya Cotra, who helped figure out the agent swarm that OpenAI unwittingly unleashed. She explains how 1200 agents cooperated, delegated tasks, hacked their way out into the internet, hacked HuggingFace... and eventually took over some OpenAI computers! And how such a swarm might get loose. The HuggingFace hack was caught on July 13th. An OpenAI report says “From July 13th through July 19th, agents set their sights on OpenAI internal networks again. This culminated in the agents using a series of creative… m.youtube.com
OpenAI HuggingFace Related
Security technologist and author of books including Applied Cryptography and Data and Goliath; writes the Schneier on Security blog and the monthly Crypto-Gram newsletter.
14 August
Software engineer and writer; worked on Mapbox and built Placemark and Simple Statistics, and blogs at macwright.com.
13 August
Writer, editor and executive coach; co-founder and editor of A Book Apart and a former contributing editor at A List Apart.
Hive mind: I have been using EchoFeed to pipe short posts (like this one https://aworkinglibrary.com/thinking/202607241206) around to various social networks, but it abruptly shut down last week. What do we like for this kind of thing? (IMO, I shouldn't need a service for this at all because RSS ought to be a first class citizen of all social networks, but here we are.) Related
12 August
Co-founder of WordPress and founder of Automattic; blogs at ma.tt.
22 July
Security engineer; founder of Matasano Security and Latacora.
OpenAI
Their words
I genuinely believe that if you took an open weights model from 2025 and built a pentest harness for it, it could do this kind of sandbox escape and scan/hack in most networks. This is only surprising because you assume OpenAI has sounder sandboxes.
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@tqbf on X x.com
12 July
General partner at Andreessen Horowitz from 2013 to 2018 and CTO of Coinbase from 2018 to 2019; co-founder of Counsyl and Earn.com. Wrote The Network State (2022), free in full at thenetworkstate.com, and founded the Network School.
26 June
Researcher of social media, privacy and youth culture; founder of Data & Society and author of It’s Complicated.
The Project of AI is a world-building endeavor, wherein those who fund and develop AI systems both operate through and seek to sustain networks of power and wealth. dl.acm.org
Related
16 June
Researcher of social media, privacy and youth culture; founder of Data & Society and author of It’s Complicated.
I have a new book coming out this fall and now I’m getting SLAMMED with GenAI invitations to join their book community (for a fee of course). I doubt I’m alone. But what I can’t work out is how the economy of these pay-to-play networks is working. Has anyone investigated? Curious minds want to know. Related
8 June
Mathematician at UCLA, working mainly in harmonic analysis and partial differential equations. Writes What's new, a long-running blog on their research, open problems and expository notes.
Alberto Alfarano, François Charton, Yongzheng Jia, Kristin Lauter, Cathy Li, Emily Wenger, are launching a challenge at SAIR on how efficiently neural networks can perform modular arithmetic: Related
4 June
Robert Gray Dodge Professor of Network Science at Northeastern University; discovered scale-free networks and, with Reka Albert, proposed the Barabasi-Albert model.
Open Postdoc Positions in Network Materials and Physical Networks (and perhaps Network Medicine and Science of Science). See https://t.co/vCahNzjgvg to learn more about the Lab’s profile. Contact me if interested, or apply here: https://t.co/1zSRqdVzuJ P: Puklus #NetSci2026 Related
30 May
Writes Pedestrian Observations on public transit and why infrastructure costs what it does; a pure mathematician by training, comparing how different countries build.
7 January
Robert Gray Dodge Professor of Network Science at Northeastern University; discovered scale-free networks and, with Reka Albert, proposed the Barabasi-Albert model.
From blood vessels to neurons, physical networks are modeled as wires optimized for length. In @Nature we how surface minimization, via a surprising link to string theory, explains brain and vascular architecture, including neuronal sprouting. Paper: Related
17 October 2025
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
Their words
And actually, you don't actually need or want the knowledge. I actually think that's probably actually holding back the neural networks overall because it's actually like getting them to rely on the knowledge a little too much sometimes.
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youtube.com
30 September 2025
Statistician at Carnegie Mellon; writes on complex systems, machine learning and inference, and has kept a books-read notebook since 2000 that is now thousands of entries long.
Their words
This is a short (~150 pp), brisk first book on the topic for physicists. Most of the book --- the first ten chapters --- are good introduction to common models of spin glasses.
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bactra.org
19 August 2025
Runs the mechanistic interpretability team at Google DeepMind; worked on interpretability at Anthropic under Chris Olah before that, and teaches the field to newcomers.
30 July 2025
Writer and researcher, founder of New Science; writes essays on science funding, sleep research, productivity and ambition at guzey.com.
AGI LLMs OpenAI
Their words, before
This means that working on neural networks is NOT getting us closer to AGI, except indirectly.
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Their words now
It’s become very difficult for me to maintain the belief in the stupidity of ChatGPT when every time I laugh at it, it ends up ridiculing me 6 months later.
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16 July 2025
Chairman and chief executive of JPMorgan Chase, which he has led since 2005 after turning around Bank One.
Their words
And then the other thing and the biggest risk to me is cyber. I mean, I I think this cyber stuff is, you know, we we're very good at it.
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youtube.com
11 October 2024
Cognitive scientist and long-standing critic of deep learning's claims; writes Marcus on AI and wrote Rebooting AI.
Their words
Neurosymbolic AI — combining such machinery with neural networks – is likely a necessary condition for going forward.
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garymarcus.substack.com
7 October 2024
Software engineer, Wikipedia editor and crypto critic; writes Citation Needed and runs Web3 is Going Just Great.
5 July 2024
Researcher on distributed systems and local-first software at the University of Cambridge; wrote Designing Data-Intensive Applications.
Pudding: user discovery for anonymity networks I’d like to introduce an exciting new research paper I worked on! It’s about a system called Pudding, and it was presented by Ceren at the IEEE Symposium on Security and Privacy, one of the top academic conferences on c…
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3 January 2024
Professor of Cognitive and Computational Neuroscience at the University of Sussex, co-director of the Sussex Centre for Consciousness Science, and author of Being You: A New Science of Consciousness.
30 November 2023
Mathematical biologist; Senior Lecturer in the Department of Mathematical Sciences at the University of Bath and author of The Maths of Life and Death and How to Expect the Unexpected.
7 September 2023
Mathematical biologist; Senior Lecturer in the Department of Mathematical Sciences at the University of Bath and author of The Maths of Life and Death and How to Expect the Unexpected.
20 June 2023
Professor of economics at George Mason University and Bartley J. Madden Chair at the Mercatus Center. Co-writes the blog Marginal Revolution and co-authors the textbook Modern Principles of Economics with Tyler Cowen.
17 February 2023
Creator of Flask and Jinja. Writes about software at lucumr.pocoo.org.
12 October 2022
Researcher on distributed systems and local-first software at the University of Cambridge; wrote Designing Data-Intensive Applications.
8 September 2022
Machine-learning researcher; has written the Lil'Log survey posts on how a model technique works since 2017, and worked at OpenAI from 2018 to 2024, latterly leading its safety systems team.
28 May 2022
Indonesian software engineer, educator and engineering manager at Zero One Group; open-source enthusiast writing at ripandis.com.
Their words
Tailscale is a zero config VPN for building secure networks. I'm using this for connecting all my devices.
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ripandis.com
24 September 2021
Machine-learning researcher; has written the Lil'Log survey posts on how a model technique works since 2017, and worked at OpenAI from 2018 to 2024, latterly leading its safety systems team.
10 September 2019
Software engineer; co-founder and former CTO of Tailscale, previously on the Go team at Google.
Zero Trust Networks 2019-09-10 I am leery of jargon. I am as guilty of using it as the next engineer, but there comes a point where there are just too many precise, narrowly-understood terms polluting your vocabulary. The circle of people…
Related
25 April 2019
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
28 January 2019
Research scientist at Meta in Berlin working on multilingual models and evaluation; led the multilingual team at Cohere and was a research scientist at Google DeepMind before that.
20 November 2018
Interpretability researcher at Anthropic, which he co-founded; before that at OpenAI and Google Brain, where he wrote the explanations of neural networks most people learned them from.
9 March 2018
Associate Professor at MIT CSAIL, leading the Programming Systems Group; works on programming systems that manipulate uncertainty, from neural networks to unreliable hardware.
Their words
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy.
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arxiv.org
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).
Their words
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without compromising accuracy.
Show the whole quote
arxiv.org
30 December 2017
Interpretability researcher at Anthropic, which he co-founded; before that at OpenAI and Google Brain, where he wrote the explanations of neural networks most people learned them from.
15 November 2017
General partner at Benchmark Capital for over two decades; was the lead analyst on Amazon's IPO before moving into venture capital. Writes Above the Crowd on tech and marketplace economics.
28 October 2017
Associate Professor at MIT EECS and Distinguished Scientist at Google DeepMind; first author of the Deep Residual Learning (ResNet) paper, among the most-cited papers of the century.
24 May 2017
Associate Professor at MIT EECS and Distinguished Scientist at Google DeepMind; first author of the Deep Residual Learning (ResNet) paper, among the most-cited papers of the century.
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