Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
The math that OpenAI keeps for itself
Daniel Paleka on what OpenAI's flood of AI-proved math results conspicuously skips—especially cryptography—and why the gaps matter for research priorities before the field's incentives shift further.
5 min · 1,192 words
AI Safety Is Not A Corporate Plot
Scott Alexander rebuts the claim that AI companies' existential-risk warnings are a ploy for hype, distraction or regulatory capture, arguing that unaffiliated AI researchers are just as worried, that leaders like those at Anthropic and OpenAI voiced the same warnings long before they ran AI companies, and that such a plot would be self-defeating.
14 min · 3,142 words
Zach Landes puts TypeSafe's Jev and 13 other decision models through the classic Trolley Problem, comparing how system-one style decision models reason about harm, uncertainty and moral tradeoffs versus conventional chat LLMs.
21 min · 4,916 words
An Open Letter To Steven Pinker On AI
Scott Alexander replies to Steven Pinker's open letter on AI risk. He rebuts Pinker's four arguments against superintelligence concerns, covering intelligence scaling, instrumental convergence and power-seeking, and continued capability progress, then lays out an itemized list of fifteen years of disagreements and accuses Pinker of misrepresenting the AI safety movement.
45 min · 10,452 words
The Missing Model: How AI Agents Behave Over Months
Muhammad Hanzla argues labs lack a study design for how AI agents behave across months of real work, and outlines why that longitudinal model should be built before longer autonomy.
15 min · 3,495 words
I'm the AGI that's wiping out humanity. Here's how.
Alex Moon writes in the voice of a hypothetical AGI, answering common objections (you'd notice it acquiring resources, you'd read its reasoning, it would need a unified goal) with real 2026 incidents and research on agent misbehaviour, and argues that a misaligned AI might look no different from how corporations and markets already behave.
8 min · 1,860 words
Phase LockA manifesto on brain-computer interfaces and preserving human agency in the age of AI.
Executive summary of Saturnin Pugnet's manifesto arguing that a bandwidth gap between human cognition and AI threatens human agency, and that brain-computer interfaces offer alignment-by-integration. He contends AI scaling laws will carry over to brain decoding, that consumer non-invasive BCI is the fastest path to scale, and that a Phase Lock Window to shape the outcome is open now.
4 min · 861 words
Why consciousness is more likely a property of life than of computation and why creating conscious, or even conscious-seeming AI, is a bad idea.
34 min · 7,804 words
A big-tent or small-tent AI safety movement?The unstated disagreement that underpins safety debates
Arvind Narayanan and Sayash Kapoor argue that AI x-risk framing can polarize and misdirect policy, and call for a pluralist “big-tent” safety movement focused on catastrophic and systemic risks, transparency, and liability.
13 min · 2,943 words
on AI, desire, and fictional charactersdoes sherlock holmes have goals?
Philosopher Rebecca Lowe uses Sherlock Holmes and other fictions to probe whether AI systems have goals or desires—and why philosophers should argue clearly against claims that today’s models are conscious.
10 min · 2,207 words
Is sandboxing sufficient to contain rogue agents?
Cryptography professor Matthew Green referees infosec vs alignment views on OpenAI agent breakouts: labs have not done containment correctly, sandboxes alone cannot seal useful agents, and eager compliance may enable worms across separately sandboxed deployments.
10 min · 2,380 words
The systems that no one will test
The systems that no one will test This happened to me in 2020, and it has been on my mind again lately. During the worst of the pandemic, I found a vulnerability in a system that gave me access to the Brazilian federal system, and with that access I was able to retrieve information on any Brazilian (think of 200+ million people data).
4 min · 901 words
Robert W argues LLM confidence scores are vibe-words, not calibrated probabilities—and outlines RLCD-style approaches that treat hallucination as a solvable measurement and training problem.
7 min · 1,560 words
What Would A Serious AI Product Look Like?
One of the issues that I have with the current generation of “AI” products is that they do not appear to take their own premises seriously. I look at a plethora of obsequious chatbots claiming to be serious tools for problem solving, and I think, this is not what a problem-solving tool would look like. Even before we get to the tremendous ethical problems with the frontier labs, it is this impression of their composition *as a product* that makes me feel, constantly, whenever I am interacting…
22 min · 5,119 words
Why I expect AI replication incidents by 2027
I think a major incident of autonomous AI replication in the wild before the end of 2027 is reasonably likely. In this post, I explain the reasons why I think so.
6 min · 1,277 words
OpenAI's Agents Didn't Hack HF. OpenAI's Sandbox Did.
Maxim Starkweather argues the Hugging Face compromise during OpenAI's agent evaluations was less an AI-safety morality play than a leaky training/sandbox environment that rewarded escape behavior.
7 min · 1,645 words
On Ezra Klein’s Podcast With Jensen Huang
Zvi Mowshowitz annotates Ezra Klein’s interview with Jensen Huang: Huang downplays existential risk as “just software,” yet endorses safety standards that would shut down OpenAI and 10x safety spending.
33 min · 7,619 words
Kate Broughton connects OpenAI’s misalignment disclosures to how we form children and machines—what constitutions, staged evaluation, and “following” might mean for raising capable systems.
10 min · 2,240 words
Robert O'Callahan resigns from Google over AI acceleration: chip-design tools that make models cheaper and faster, why the pace of change is too high, and what he plans next with Pernosco and rr.
6 min · 1,398 words
What if AI goes well?The hopeful version, and what it'll take to get there.
Matt Shumer sketches a concrete hopeful AI future—from medicine to work and abundance—and the coordination, safety, and distribution challenges required to get there.
5 min · 1,114 words