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Daniel Litt sketches a cautionary future where superhuman AI math stalls community progress: secrecy, prestige distortion, and humans reduced to directing agents rather than understanding proofs.
6 min · 1,313 words
Why Clay Has an AI Writing Policy
Clay engineer Sophie Alpert explains the company-wide AI writing policy: stand behind every sentence, treat writing as thinking, respect readers' time, and reject padded AI slop.
4 min · 993 words
A personal essay on hedging vs boosters in scientific writing after generative AI: relative use of words like could fell even as raw counts rose with more published text.
4 min · 817 words
Why I Think You Should Almost Never Use AI to Write Anything Substantive
Erich Grunewald argues that using AI to draft substantive writing erodes thinking, voice, and accountability—and that almost everything worth writing is better done by a human who owns the words.
15 min · 3,455 words
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
There's no point at which turning your brain off will work
Dan Luu argues that turning off critical judgment while using LLMs fails in practice: when people let models take actions or produce analyses without verification, errors compound — there is no safe point at which you can stop thinking.
12 min · 2,831 words
GenRec: Towards LLM-Native Recommendation at Netflix
Recommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, items, and interactions, along with specialized architectures for sequence modeling, feature interactions, and multi‑task objectives. This stack has evolved over many years to support diverse content types (movies, series, games, live, podcasts) and product surfaces, but its complexity makes it costly to onboard new use cases: adding a content type or surface can require significant feature engineering, architecture change,...
12 min · 2,813 words
Meet Stripe's Knowledge AI Platform
Stripe's Knowledge AI Platform is our versatile AI agent platform built to handle diverse non-coding knowledge work, from quick queries to complex, multi-day projects. By connecting employees to over 1,000 internal tools and skills, it enables secure, enterprise-scale productivity across the organization.
8 min · 1,870 words
The Best Code Review Says Less
You open a pull request and there are 40 inline comments waiting for you, all from the AI reviewer. It has opinions about a variable name. It wants you to extract three lines into a helper. It found a null that can’t actually occur, on a path that never runs. It’s suggesting a micro-optimization on code that executes twice a day.
5 min · 1,185 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
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
From Scrum to Shape Up in the AI Era
When AI made coding the fastest part of delivery, two-week sprints started to burn the Intrepid Developer team out. Chris Vanderplank describes shifting to a Shape Up-inspired model with longer cycles and appetite-first design.
10 min · 2,350 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
"Vibe coding" is the new "Internet dating"
An analogy between early-2000s internet dating stigma and today's vibe-coding skepticism: both start as jokes, then quietly become how a lot of people actually meet their goals.
1 min · 199 words
AI-generated posters don’t have to be horribleA practical workflow for event posters that don’t look like every other AI flyer
John Hartnup shows how to stop AI event posters looking identical: constrain composition, type, and color with concrete prompts and layout rules so the result still looks designed rather than generically generated.
6 min · 1,414 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
Giving Your Home AI Agent Real Tools: MCP Servers on a Mac mini M6
A walkthrough of the MCP servers James M runs on a Mac mini M6—filesystem, email, calendar, notes, home automation—and the permission choices that keep an always-on home agent from becoming a liability.
8 min · 1,743 words
The fall of the theorem economyHow AI could destroy mathematics and barely touch it
David Bessis argues AI is exploiting mathematicians' honor-code incentives: when theorems become cheap to produce, prestige-driven theorem economies collapse even if mathematical understanding itself is barely touched.
47 min · 10,783 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
Harness engineering: leveraging Codex in an agent-first world
OpenAI engineer Ryan Lopopolo on harness engineering: how Codex and agent-first workflows reshape the scaffolding around models, from prompts and tools to evaluation and production loops.
13 min · 3,025 words