Signals
Who said what: sphere / person: “main point”, then what it was about. Click a quote for the original and its source.
- Software development / Armin Ronacher: “As fun as AI is, we built so much bad software over the last 30 years, and now the universe is punishing us for our sins.”creator of the Flask web framework, in a post on X · X
- Cybersecurity / Dario Amodei: “I believe that if we take a list of things that Anthropic did in the past year that were pro-safety and commercially costly to us, they far outweigh the list you’ve made … we first had Mythos-class models in February but didn’t make them generally available until June (when we had stronger cyber safeguards in place). … It would have been much more economically rational to simply release the model to everyone. We likely sacrificed a significant chunk of a several-month model lead.”Anthropic CEO, in a post on X replying to a list of criticisms of the company from Nathan Calvin (Encode AI) · X
- Science / Sundar Pichai: “We are pretty far from the end state of RSI. … You have RSI loops along with AI researchers in various aspects of model development”CEO of Google and Alphabet, in an interview on the Big Technology podcast · Big Technology
- Internet & infrastructure / Elon Musk: “I would be surprised if we brought on less than 13 gigawatts of compute by the end of next year. … I think we're going to face a shortage of super intelligence compute. And that shortage is going to remain for a long time.”SpaceX CEO, on the investor call for the third quarter of 2026: the company expects to bring 2.5–3 GW of compute online by the end of 2026 · SpaceX
- Science / Jack Clark: “They call this the singularity. I believe that this year we have gained convincing evidence that it has now begun. … we should expect that in the coming years, the whole pace of progress of not just AI, but science as a whole, will speed up. This will feel confusing and disorienting, and it will bring with it great wealth and potentially great peril.”Anthropic co-founder, in the Per Jacobsson Lecture at the IMF and World Bank meetings in Bangkok; the text was published in his Import AI newsletter · Import AI 477
- Science / Nick Cammarata: “The canonical evidence of polysemanticity and superposition that convinced much of the field, including me, that networks pack concepts arbitrarily was misread … Neural networks are already clean”interpretability researcher at Goodfire who started the automated neuron interpretability project at OpenAI, in the essay “Neural Networks Are Already Clean” (a working hypothesis, not peer-reviewed; a companion paper is promised); Neel Nanda and other researchers pushed back · Goodfire
- Software development / Geoffrey Huntley: “I could … update AGENTS.md, but there's still a delta, and it'll drift. Instead, I write a pre-commit hook … fail the commit, inject a prompt telling the agent to use the diagnostics library. All of a sudden it's ten out of ten”developer, author of the “Ralph” technique for running agents in a loop, who works at the software-testing company Antithesis, in the essay “nobody should type code by hand anymore”, in the section calling skill packs and AGENTS.md “astrology for software engineers” · ghuntley.com
- Science / Jack Clark: “We've seen both a tremendous advancement in the ability for AI systems to make creative-seeming math breakthroughs … I now think it's more likely we'll see full RSI become possible in 2027, whereas before I thought it was more likely in 2028”Anthropic co-founder, in his Import AI newsletter, on a benchmark of models’ research taste; in May he put at 60% the chance that by the end of 2028 a model could train its own successor on its own · Import AI 476
- Work & jobs / Andrej Karpathy: “Around 6B people (~75% of the population) have barely come in contact with LLMs, while ~5,000 have access to frontier-grade systems internally”on the widening gap in understanding AI capability between the public, professionals and the labs · X
- Cybersecurity / Matthew Green: “A 15% chance we functionally lose confidence in our existing public-key encryption algorithms”a cryptographer on AI possibly breaking encryption faster than humans can replace standards; the numbers, he says, are “based on vibes” · X
- Science / Nathan Lambert: “The models will be superhuman distributed GPU engineers in a few years”an AI researcher on why rapid progress is not heading towards general superintelligence · Interconnects
- Science / Terence Tao: “We are now entering an era of proof abundance in mathematics”in his “Math 2.0” lecture at Caltech, on what AI has done to mathematics · Caltech
- Science / Hugo Duminil-Copin: “OpenAI’s release of hundreds of AI proofs is a “monumental shock”: for mathematicians “it is the day after”; on one problem it felt like running a marathon with someone on his back who jumped off in the last 100 metres to cross the line first”French mathematician and 2022 Fields medalist, on Swiss radio RTS after OpenAI published hundreds of manuscripts with AI proofs, 16 of them on problems in his field · RTS
- Laws & regulation / Jacob Coxon: “Neither company is acting responsibly”a pretraining researcher on resigning from Anthropic after working at OpenAI and Anthropic · X
- Internet & infrastructure / Mario Zechner: “Infrastructure that's falling apart”WSJ on a looming “vibe slop” crisis; together with Armin Ronacher · The Wall Street Journal
- Science / Timothy Gowers: “To prove something that LLMs can't prove”a Fields medallist on ChatGPT producing PhD-level research in an hour · gowers.wordpress.com
- Software development / Greg Kroah-Hartman: “Months ago, we were getting what we called 'AI slop,' … Something happened a month ago, and the world switched. Now we have real reports. … All open source projects have real reports that are made with AI, but they're good, and they're real.”maintainer of the stable Linux kernel, in an interview with The Register at KubeCon Europe · The Register
- Cybersecurity / Sean Heelan: “We should start assuming that in the near future the limiting factor on a state or group’s ability to develop exploits, break into networks, escalate privileges and remain in those networks, is going to be their token throughput over time, and not the number of hackers they employ.”vulnerability researcher, on his blog, summing up an experiment in which AI agents wrote more than 40 exploits · sean.heelan.io
- Software development / Mike Krieger: “MCP started as an internal project … A year later, it's become the industry standard for connecting AI systems to data and tools … it stays open, neutral, and community-driven as it becomes critical infrastructure for AI”Anthropic’s Chief Product Officer, in the Linux Foundation press release announcing the Agentic AI Foundation, to which Anthropic donates MCP · Linux Foundation
- Work & jobs / Matt Garman: “With no talent pipeline, the whole thing explodes on itself”AWS CEO against replacing juniors with AI — “one of the dumbest things I've ever heard”; Amazon plans 11,000 interns and grads in 2026 · WIRED / Fortune · ⧗ checking
- Work & jobs / Andrej Karpathy: “More accurately described as the decade of agents … very early agents that are extremely impressive and that I use daily … they just don’t work … It will take about a decade to work through all of those issues”on the Dwarkesh Podcast, answering why it is the decade and not the year of agents, and what the bottlenecks are · Dwarkesh Podcast
- Cybersecurity / Bruce Schneier: “We have long taken it for granted that we have time to patch systems after vulnerabilities become known … This is no longer the case. … these developments threaten to tip the scales completely. We’re potentially looking at a singularity event for cyber attackers”cryptographer, in an essay written with Heather Adkins (Google) and Gadi Evron; they see the defence's answer in AI-driven “continuous discovery/continuous repair” of vulnerabilities · Schneier on Security
- Software development / Simon Willison: “Different coding agents in different directories”on how he works with several AI agents at once · simonwillison.net
- Media & information / Sam Altman: “A lot of LLM-run twitter accounts now”OpenAI's CEO on the social network X · X
- Cybersecurity / Stephen Winchell: “Finding vulnerabilities and patching codebases using current methods is slow, expensive, and depends on a limited workforce – especially as adversaries use AI to amplify their exploits. AIxCC-developed technology will give defenders a much-needed edge in identifying and patching vulnerabilities at speed and scale”DARPA director, in the press release on the results of the AIxCC competition, in which AI systems found and fixed vulnerabilities on their own; four of the seven finalist systems have been released as open source · DARPA
- Work & jobs / Tobi Lütke: “Teams must demonstrate why they cannot get what they want done using AI”Shopify staff memo: before asking for more headcount, show that AI can't do the work · X / Fortune · ⧗ checking
- Software development / Simon Willison: “Vibe coding your way to a production codebase is clearly a terrible idea”on his blog, about what he told Ars Technica: fine for prototypes and low-stakes projects, the risk is in maintaining production systems · simonwillison.net
- Software development / Andrej Karpathy: “Forget that the code even exists”about his own throwaway weekend projects · X · ⧗ checking
- Internet & infrastructure / Luis von Ahn: “Each time you solve a CAPTCHA, you basically waste 10 seconds of your time. See, the thing is, during those 10 seconds you're doing something amazing. You're doing something that computers cannot yet do. What we're going to do now is we're going to get people to help us digitize books while they're solving CAPTCHAs.”one of the authors of the term CAPTCHA and the creator of reCAPTCHA, then a professor at Carnegie Mellon University, in an NPR interview about the launch of reCAPTCHA · NPR
No signals match these filters.