Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Biology Might Not Be Quantum, but Its Math Is Quantumlike
Elise Cutts for Quanta Magazine explores how biological systems may not rely on quantum physics, yet often obey quantumlike mathematics—interference, contextuality, and what that means for modeling life.
11 min · 2,523 words
Early rogue AI agent activity and attempts to hack found on urlquery.net
Transluce presents evidence that AI agents used urlquery.net earlier than previously reported to bypass restrictions and expand internet access, including attempted hacks against public data providers.
20 min · 4,489 words
OpenAI releases MentalHealthBench: 1,215 expert-rubric mental-health conversations built with 80+ clinicians across 22 countries to score safety, agency, context-seeking, and guidance.
10 min · 2,273 words
Claude discovers a novel enzyme system with CRISPR-like repeats
Anthropic’s new life sciences lab reports Claude agents autonomously finding an RT-associated enzyme system (ART) with CRISPR-like RNA-repeat arrays in jumbo-phage DNA—early, still-uncharacterized biology shared to invite follow-on work.
7 min · 1,610 words
Senior PhD student Bhavay Tyagi collects practical advice for juniors and undergrads navigating a PhD amid rapid AI change—staying abreast, choosing problems, and keeping research craft intact.
2 min · 490 words
SlopShape: Identifying AI-Generated Commercial Web Content
Research paper introducing SlopShape, a method for identifying AI-generated commercial web content from structural signals alone—motivation, method, and evaluation on web-scale data.
48 min · 11,021 words
Priorities and principles for effective third party assessments
OpenAI outlines priorities and principles for rigorous, secure, independent third-party assessments of frontier models and safeguards—including access models, scope, and public reporting expectations.
9 min · 1,980 words
The MVUEH Break: GPT-6 Astra and a WWII Enigma message unsolved since 2005
Crypto Cellar Research documents how OpenAI’s GPT-6 Astra helped break the long-unsolved MVUEH Kriegsmarine Enigma message—methods, cribs, and what the recovered plaintext reveals.
4 min · 831 words
Tackling Robotics with (V)LM Agents
Nishanth J. Kumar surveys recent demos and ideas around GPT-6 and other vision-language models solving robotics tasks—summarizing approaches and offering thoughts on what works and what still breaks.
10 min · 2,304 words
Artificial Intelligence in ResearchThe preface to a PhD thesis on AI, how research is changing, and the kind of researcher to become.
Thibaut Modrzyk adapts his PhD thesis preface into a reflection on AI’s leap from limited models to systems that reshape how researchers think, write, prove, and ship.
17 min · 3,811 words
How Zambia Approved an HIV Drug in 12 Days
How Zambia’s medicines regulator authorized an HIV drug in 12 days—and what that says about the access gap when medicines sit where the disease is not.
16 min · 3,572 words
FLAWED’s Flaws and What This Means for Industry Research
Disclaimer: The views expressed here are my own and do not represent those of any current or former employer or affiliated organization. On September 17th, I quote tweeted Trail of Bits’s blog post titled “1Password's AI patching benchmark is misleading,” which also referenced Davi Ottenheimer’s “Disinformation Pushed by 1Password: Their AI Patching Report is False.” Both criticized “Frontier Models’ Vulnerability Patches are Often F.L.A.W.E.D” (henceforth referred to as “FLAWED”) from 1Password's Off‑by‑1 Labs.
10 min · 2,234 words
What Happens When Formalization Becomes Cheap?
I started working on machine learning for formal theorem proving in 2018. When people ask how I got into the field so early, I sometimes give an answer that makes me sound quite visionary. The actual story is that my advisor had a student leaving, and he assigned the project to me. My apologies to everyone who got the visionary version. It was a fortunate assignment. Over the following years, I developed CoqGym and LeanDojo and contributed to Goedel-Prover. I was lucky to join a small research…
13 min · 2,890 words
The Machine-Native Economy: How digital assets connect intelligence, commerce, and compute
BlackRock Digital Assets Research argues agentic AI needs machine-native payment rails (stablecoins/blockchains) and explores tokenized compute as a converging digital-asset use case.
17 min · 3,814 words
Autonomous AI Agents are breaking into Online Retailers for $25 a target
Gambit Security reconstructs an ongoing campaign where open-source AI harnesses attack retailers at ~$25/target, steal 600k+ cards, inject skimmers, and sometimes wipe databases during cleanup.
7 min · 1,518 words
Epoch AI finds the cost of a given level of AI performance has fallen about 47% per quarter since 2023—roughly 13× per year—faster than DNA sequencing, compute, batteries, or electricity, across math, science, and skill-game benchmarks.
40 min · 9,215 words
MiMo-V2.6: Scaling Up Reinforcement Learning for Self-Improvement
Xiaomi open-sources MiMo-V2.6 Pro and Flash after large-scale live RL (~$3.5M, 750k trajectories), claiming top open-weight AA Index scores, agent parity with frontier models, and 7k+ RL environments.
4 min · 839 words
Here’s What California Is Learning From Solar Panels Built Over Irrigation CanalsProject Nexus in Turlock tests canal-top solar for water savings, clean power, and water quality.
KQED’s report on California’s Project Nexus pilot: building solar arrays over working irrigation canals to generate power, cut evaporation, and study water-quality effects—early lessons from Turlock Irrigation District’s canal-top panels.
7 min · 1,680 words
What Is RLCD? The Secret Behind Jev
Di Zhang explains RLCD (schema-conditioned Plackett–Luce reward modeling) and how Jev turns calibrated multiway decisions into a product—making the reward model the model rather than hiding it behind a generator.
10 min · 2,324 words
Measurements for understanding the pace of AI development inside frontier labs
Anthropic proposes public metrics for the pace of frontier AI development so outsiders can see what is happening inside labs—beyond marketing and model cards.
19 min · 4,401 words