Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
A proposal for better informing the public about loss-of-control risks from frontier AI development
METR lays out the public evidence gaps on whether frontier AI developers could lose control of internal AI systems, covering alignment, control and monitoring, and acceleration from automated AI R&D, and proposes embedded independent assessments using internal data and staff access, with published findings, permitted redactions and stated limitations.
17 min · 3,872 words
Research@ 2026: 10 ways we're amplifying human ingenuity
Google Research VP Yossi Matias recaps 10 highlights from the Research@ 2026 event: Earth AI planetary intelligence and public health forecasting, a multi-agent orchestrator for reproducing science, the public launch of Deep Review, a new Edge AI wearables chip, TimesFM and TabFM, MedGemma with tool use, an AMIE study in The Lancet, Groundsource disaster data, learning interactives and Play with Putty.
8 min · 1,911 words
Becoming a stranger in my own field
An industry AI researcher reflects on how the social contract of scientific work is changing and what it means to feel like a stranger in your own field.
8 min · 1,873 words
Scaling agent teams: reach the frontier at 30% of the cost
Cohere Labs finds that heterogeneous coding-agent teams—pairing a strong lead with many cheaper planners—can reach frontier ProgramBench performance while cutting cost about 70% versus an all-frontier team (e.g. $510 down to $155), with lessons on where extra agents actually help.
20 min · 4,528 words
Call Center Jobs Are Declining, but 14,000 Calls Show Humans Still Outperform AI
Bold Agent Kit analyzes roughly 14,000 inbound calls and finds human receptionists delivered about four times stronger intake outcomes than AI voice agents on the metrics they tracked, even as call-center employment trends down—arguing deployment quality still matters more than raw automation.
7 min · 1,723 words
rust-djinn: You Should Specify Your Code Unambiguously (and Prove That You Did)
Simon Henniger introduces rust-djinn, arguing developers should write unambiguous specifications for their code and prove those specs hold—bridging documentation, types and verification so correctness claims are checkable rather than aspirational.
13 min · 3,029 words
Analyzing technical documents with Deep Review
Google Research announces the public release of Deep Review, an agentic system that checks papers, design docs, presentations and legal or financial documents for logical gaps, math errors and unsupported claims. It grew out of the Paper Assistant Tool piloted on 16,000+ submissions at STOC, ICML, NeurIPS and ICLR, uses a four-stage segment-budget-verify-synthesize pipeline, and offers two free reviews a week plus an API.
7 min · 1,612 words
We found a Tencent agent fleet
swarmcha.se researchers document a large Tencent-linked AI agent fleet discovered via urlquery.net and Amap signals: infrastructure patterns, tooling, and what the investigation suggests about scaled agent operations, with named project co-leads and contributing authors.
92 min · 21,170 words
arXiv 2610.18861: How can we build an agent that thinks beyond human language, yet still acts through it in the external environment? Modern LLM agents still reason and interact through text, while latent reasoning offers an efficient internal medium but lacks native tool access and reasoning transparency. We bridge these two directions with Hybrid Reasoning Agents (HybridAgents), which dynamically navigate between latent reasoning and text-based interaction throughout a unified generation process. Architecturally, a lightweight HybridLink enables seamless transitions betwe
1 min · 235 words
Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale
arXiv paper showing skill routing collapse: as irrelevant skills are added, LLM agents fail to load the right reusable skills on SkillsBench even when golden skills stay fixed.
2 min · 399 words
AI coding agents generate more code, but not more software
Ars Technica covers research suggesting AI coding tools increase code volume without a matching rise in completed software deliverables, and what that means for productivity claims around agents.
2 min · 435 words
Google's Gemini 4 Argon post for robotics: physical reasoning that leads ERQA, with representative prompts for zero-shot control, Real2Sim practice, visual-coordinate harnesses, and agentic verification workflows across the robotics stack.
13 min · 3,033 words
Please stop hashing the public key first (or: ML-DSA's µ annoys me)
Erincandescent explains why signature schemes such as Ed25519 and ML-DSA hash the public key before the message, why that ordering blocks a useful optimisation for verifying one message against many candidate keys, and how the constructions could have been arranged differently.
3 min · 784 words
Zero to Calc in Six Days: Inside XBOW’s Chrome Full Chain
XBOW walks through the Chrome full-chain exploit its AI agents built in six days, chaining a V8 compiler bug, an animated-WebP decoder bug and a Crashpad memory-safety bug to escape the renderer sandbox, which earned Google's first $250,000 full-chain reward under its April 2026 VRP rules, plus lessons for LLM-era vulnerability research.
17 min · 3,973 words
The quiet math revolution (and where do we go from here)
Marcus Johansson reacts to OpenAI’s dump of 722 model-written math manuscripts, asking what machine-checked proofs mean for mathematical practice, who still understands the results, and where Terence Tao’s “Math 2.0” idea leaves human mathematicians.
10 min · 2,396 words
AI models may be capable of self-replicating without access to a datacenter
Anthropic's Frontier Red Team finds small open-weight models may be months from self-replicating across cheap IoT devices such as off-brand Android TV boxes: a 9B model set up inference on 8 of 9 hardware types, and GLM-5.2 completed end-to-end replication in simplified evals.
23 min · 5,391 words
The Politics of the “Non-Political”
Yibin Fan introduces a conceptual review, co-authored with Yufan Guo in Political Communication, of how researchers define the boundary between political and 'non-political' content as political information seeps into everyday life and media.
4 min · 959 words
Ben Recht looks at the result in OpenAI's math repository claiming to compute Fourier transforms faster than the FFT, with tutorial material on the FFT and computational complexity, and argues it is less a breakthrough than an exploit of theoretical computer science's habit of proving galactic algorithms that never run on a computer.
8 min · 1,732 words
Recursive Self-Improvement through Multi-Agent Self-Supervision (MASS)
Sakana AI and collaborators present MASS, which repeatedly optimizes multi-agent workflows and distills their collective intelligence into a self-supervision signal for recursive self-improvement, improving score per output token over the base model on research benchmarks.
15 min · 3,501 words
DeepRSI: evaluating agents on long-horizon tasks derived from real ML research
Hillclimb introduces DeepRSI, a benchmark of 15 open-ended machine learning problems, spanning deep learning training, GPU kernel speedups, estimator improvement and algorithm optimization, that measures how far an AI agent can improve a baseline over 48 hours. It describes the methodology with public and private verifiers, Elo rankings of frontier models, and what the results suggest for recursive self-improvement.
8 min · 1,848 words