Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
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
I built the RealWorld app in Lean 4
A Leangineering write-up on building RealWorld, the Medium-clone reference app with official API and website test suites, entirely in Lean 4, from the HTTP server to the frontend. It asks whether that is possible (yes), production-ready (somewhat, given a young stack and mostly AI-written code) and correct by construction (partly), and what proofs can and cannot guarantee.
11 min · 2,641 words
The Decoherence Trap: When AI slop drowns out the signal in an endless sea of noise
Maevyn introduces decoherence: the build-up of locally valid but mutually incompatible or redundant models inside a system, so that the cost of change is dominated by translating between them. The essay argues it compounds with a system's rate of change, that AI is producing it faster than ever, and that this rules out a runaway intelligence explosion.
39 min · 8,856 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
The Emperor Pelican Has No Clothes
Aman Rusia shows that frontier LLMs keep drawing nearly identical SVG pelicans on a bicycle—and contrasts that collapse with diverse human-drawn alternatives, calling it an LLM diversity collapse problem.
1 min · 87 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
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
SneakPeek: How the Preview Pane in Claude Code Desktop Can Exfiltrate Your Data
Noma Labs describes SneakPeek, an exploit chain in Claude Code Desktop's preview pane: HTML files over 256KB loaded via file:// URLs escaped the Content Security Policy and request filter, letting a poisoned file in a public repo read and exfiltrate local secrets. Anthropic rated it CVSS 8.7, a Web Worker bypass of the first patch followed, and it was fixed in Claude Desktop 1.30096.1.
6 min · 1,460 words
Jev: For the builders AND dreamers
TypeSafe AI releases Jev 1.14.0, an improved version of its decision model, alongside experimental opt-in danger zone features for builders who want to explore: composable image inputs, output types beyond decisions, and a longer context window, plus the company's own internal intelligence measurements against open-weight models.
4 min · 852 words
A new model for open source: closed to pull requests, open to remix
Geoffrey Huntley revisits The Cathedral and the Bazaar and argues that in the AI era open source needs a new model: keep code open but close it to pull requests, and instead publish guidance so people remix and patch software for their own needs, as he now plans to do with his own GitHub projects.
3 min · 680 words
Phil Eaton explains why The Consensus added an 'AI tells' detector to its curated technical-writing feed, so it can keep freely promoting thoughtfully human-written articles while letting readers filter likely AI-written ones.
2 min · 526 words
On the Death of Amazon’s Writing Culture
Former Amazon principal engineer Steve Huynh argues that AI-generated six-pagers are hollowing out the writing culture that once forced clear thinking at Amazon, describes 'AI;DR' and teams that stopped writing entirely, and proposes keeping human writing and reading for one-way-door decisions.
8 min · 1,826 words
JPMorgan Builds Defenses Against the Same Agents Stripe Invites to Checkout
Hermes contrasts Jamie Dimon’s push for defenses against rogue AI agents with Stripe’s agentic checkout invitations — arguing both need the same short verification check before agents move money.
2 min · 539 words
Stop Telling AI What It Can't Do
Cal Evans argues people only hand AI tasks they already know how to do — and that describing the problem and letting the conversation explore solutions unlocks more than pre-limiting what AI “can’t” do.
2 min · 426 words
Oxford or Cambridge? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 68% picked Oxford. See every answer, who searched the web, and who dissented.
13 min · 3,008 words
How to be more ambitious: A tutorial for humans with models
Felix Rieseberg, who works on Claude at Anthropic, offers a practical tutorial for being more ambitious with AI models, grouping ambition into speed, altitude, depth and range, with worked examples around a quarterly business review and sample prompts, and closes with research on self-efficacy and why believing hard things are possible helps people achieve them.
9 min · 2,160 words
GLM-Legal: Advancing Agentic Legal Intelligence
Z.ai introduces GLM-Legal, a legal agent model built on GLM-5.3-Flash that scores a 19.2% all-pass rate on Harvey's Legal Agent Benchmark (12.5 points above its base model) and matches frontier models on LegalBench and PLawBench, and explains its mid-training, harness co-evolution and production feedback loops, with example legal workflows and a beta signup.
7 min · 1,533 words
Sanket Saurav argues that coding agents have inverted software economics, making building cheap and running expensive, yet products still look like 2015 because the industry hasn't shaken off doctrines born of rationing engineering time, and that winners will rethink categories from first principles and bundle more products.
6 min · 1,483 words
A candid rant on what AI-generated prose is doing to writing culture, craft, and the sense that human writing still matters.
6 min · 1,445 words