Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
Noah Smith on what it means when AI becomes better at mathematics than any human—how “hero” mathematicians shaped culture, and how post-heroic math and science might look when machines own the frontier.
14 min · 3,242 words
AI Agents Push Humans Out of the Loop
Position paper arguing that today’s AI agent designs impede and degrade effective human oversight—the irony of automation at agent scale—and outlining developer affordances plus deployer protocols for cognitive scaffolding.
3 min · 629 words
From your doorbell to your home network: hacking the Eufy doorbell and base station
Adepts of 0xCC write up a summer hobby project reverse engineering a Eufy video doorbell and HomeBase: remotely jamming the doorbell off its network, decoding the soundwave sync protocol, and extracting and decrypting the hidden-network credentials from a memory dump.
31 min · 7,211 words
AI and Math in 2026: a non-mathematician's read
xlr8harder synthesizes recent AI math results for non-specialists: real progress with a different strength profile than humans, formalization cliffs, and why “math nearly conquered” remains overhyped.
3 min · 750 words
Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT
METR proposes expenditure horizon—a measure of an AI agent’s optimization ability—and illustrates it with the NanoGPT speedrun, including human expenditure estimates judged with an LLM.
41 min · 9,521 words
Self-generated prompt injections in compaction summaries
Research on aligning AI with human values and intent, and reports documenting model failures.
6 min · 1,350 words
The UV index is not the warm sensation of sunlight on bare skinWhy sunburn risk and how hot the sun feels on your skin diverge—backed by numbers.
A clear, numbers-first essay explaining why the warmth of sunlight is a poor proxy for UV-B sunburn risk: cloudy cool days can still burn, and scorching morning heat may not, once you separate infrared heating from the UV index.
3 min · 727 words
Companies hire more after AI adoption
Ramp lead economist Ara Kharazian summarizes the Ramp Economics Lab and Revelio Labs working paper on 21,000+ US firms: heavy AI adopters grew headcount about 10% and entry-level headcount 12% in the two years after adoption, low-intensity adopters saw no significant change, and gains were uneven across firms.
5 min · 1,148 words
Helping build shared standards for advanced AI
OpenAI argues for U.S.-led shared technical standards for frontier AI—including evaluation, incident reporting, and cautious treatment of recursive self-improvement—via the Appia Foundation.
3 min · 708 words
Irvin Chen's Open Culture Foundation report measures how 2,179 websites commonly used in Taiwan would fare if international submarine cables were cut. It finds 39.3% depend directly on foreign-hosted resources and another 49.6% rely on local nodes of multinational clouds or CDNs with uncertain availability, and offers a reproducible method for tracking resilience.
29 min · 6,772 words
AI Now Writes as Many Online Articles as HumansGraphite’s Common Crawl sample finds primarily AI-generated articles plateaued near 50%
Graphite’s Five Percent research averages three AI detectors across tens of thousands of English articles and finds primarily AI-generated pieces have plateaued near half of new articles since early 2025—after a steep rise following ChatGPT’s launch.
8 min · 1,859 words
Put a price on research breakthroughs
Alex Wang argues that AI neolabs are being asked to pull off two moonshots at once, a research breakthrough and a venture-scale business, and proposes a pharma-style model where frontier labs put explicit prices on breakthroughs such as cheaper training runs so neolabs can focus on research and sell or be acquired.
8 min · 1,767 words
Four CHI '26 papers I wish I wrote
Janet Davis highlights four CHI 2026 papers she wishes she had written, reflecting on research themes and why each piece of HCI scholarship stood out.
13 min · 3,021 words
We Audited 10 Popular Open-Source Robot Datasets. Here's What We Found.
Traceplane ran automated quality checks on ten widely used open robotics datasets and found structural or semantic issues in every one—arguing trajectory data needs ingest-time QA like every other data-intensive field.
11 min · 2,503 words
Semantics for 2D Rasterization
Kulkarni, Whiting, and Panchekha introduce μSkia—a Lean-mechanized formal semantics for Skia 2D graphics—and an optimizer that speeds rasterization ~18.7% on Chrome-derived Skia programs while proving replacements correct.
4 min · 1,009 words
Sparse Reward Subsystem in Large Language Models
Guowei Xu, Mert Yuksekgonul, and James Zou report a sparse reward subsystem in LLM hidden states: value neurons encode expected value, while dopamine neurons track reward-prediction error. The study finds these signals are robust across tasks and models and useful for confidence estimation and inference-time search.
1 min · 287 words
A Mind Cannot Be Smeared Across TimeConscious experience, temporal windows, and why sequential computation may not suffice.
Michael Timothy Bennett argues that whether machines can be conscious depends not only on what they compute but when: augmenting Stack Theory, he proves existential temporal realisation over windowed trajectories does not preserve conjunction, so a mind cannot simply be smeared across time.
28 min · 6,366 words
ADHD as a circadian rhythm disorder: evidence and implications for chronotherapy
A Frontiers in Psychiatry perspective arguing that circadian dysfunction — evening chronotype, delayed melatonin onset, and pervasive sleep disturbance — is a clinically significant phenotype in a large ADHD subgroup, with implications for chronotherapy such as timed light and melatonin.
8 min · 1,836 words
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Fu et al. propose Cache-to-Cache (C2C): multi-LLM systems exchange KV-cache semantics directly instead of text tokens, aiming for richer inter-model communication with lower latency and token cost.
52 min · 12,056 words
Jens Egholm Pedersen argues modern science is synonymous with open-source software: why reproducible code matters as much as papers, and what researchers should do next.
7 min · 1,517 words