Posts

Simile's Joon Sung Park explains interview-grounded behavioral simulation, its validation problem, and the gap between customer panels and predicting society.

Source control for parallel coding OpenAI explains how it rebuilt Git hosting for parallel coding — Its engineering account shows how shared downloads and independent branch updates can reduce contention when many coding assistants work …

IBM's Jeff Crume explains data visibility, classification, jurisdiction, access controls, and continuous audit evidence for AI systems.

Neo4j's Zachary Blumenfeld turns skills and decision traces into executable graphs, with explicit routing and inspectable loan-approval runs.

Factory's Nikhil Harithas explains customer-owned agent compute, outbound relays, and the lifecycle machinery behind portable coding agents.

Aamir Shakir explains multimodal retrieval, demonstrates search over Intel reports, and reports a customer accuracy gain with important limits.

Cristóbal Valenzuela demonstrates Continuum, a research prototype for interactive visual explanations and shared visual work with coding agents.

Editing a model to stop reasoning loops Researchers use one AI model to edit another’s weights — The experiment shows a possible way to fix a specific failure in a small model without retraining it. MIT researchers asked GPT-6 Astra to …

MIT researchers report targeted weight edits that let a small Qwen model finish more answers, plus experiments reading and writing game networks.

A dashboard for human decisions, agent run histories, workflow changes and regression tests, backed by Archon and Postgres.

Will Brown makes the case for turning agent traces and human decisions into tests and training data for organization-specific models.

As AI makes producing proofs easier, a mathematician argues for rewarding understanding, good questions and the work that connects results.

Figma's Ezra Mechaber shows a shared product-management skills repo, agent-assisted testing and an experiment workflow.

Finding and fixing software bugs A PostgreSQL maintainer says AI-found bugs are slowing the next release — Finding defects faster can move the bottleneck to human review and repair. Major contributor Robert Haas expects PostgreSQL 19 to …

IBM's Legare Kerrison walks through six inputs that help a coding agent work within an existing repository.

Speakeasy's Sagar Batchu lays out identity, policy and audit controls for agents that can act on production systems.

Sourcegraph's Andrew Norrish connects review pressure with incident response and outlines three code-intelligence workflows.

Adam Nahari argues that AI projects need a measurable business problem, workflow redesign and committed users to produce financial impact.

Zack Proser shows how he turned writing experience into a tool for colleagues, and applies the same idea to bedtime stories for his children.

A packaged local AI stack A new local AI stack switches between chat and image models — A small container-based project offers a way to try both on one machine without keeping both models in graphics memory. Solène Rapenne’s project …

Nick Nisi turns code changes into simulated smells and proposes a risk-based review pipeline.

Maddy Zhang argues that verification, judgment, agent workflows and communication matter as coding agents change engineering work.

Jaclyn Konzelmann discusses short strategy documents, user co-creation, experiments, and designing for an agent-filled world.

Subscription limits OpenAI plans to combine ChatGPT and Codex usage allowances — People using both products will need to budget their work against one allowance. Starting in December, the shared allowance applies to Plus, Pro and Business …

Avery Blanchard explains the three compilation stages, graph breaks, and how to measure whether they help.

Compound's Yijia Liang explains shared agent inboxes, Office-compatible engines, and checking loops for financial deal teams.

Ramakrishnan Lokanathan on testing complete AI workflows, retaining regression checks, and turning real failures into evaluations.

Oracle's Jeff Smith explains vetted reports, schema context and database-level permissions as ways to limit the risks of connecting agents to company data.

A coding assistant finishes a peaceful factory game A coding assistant completes a peaceful Factorio run — A recorded game run shows both how a coding assistant plans a long task and where its automation breaks down. In Ryan Madden’s …

Barrow explains how Perplexity Decider scores classification choices in one model pass, and why fast scores still need careful validation.

Oracle's Richmond Alake proposes an intelligence plane for agent knowledge, memory, data access and learning.

Cole Medin examines a study of AI-influenced expert decisions and suggests ways to keep judgment in the planning process.

Site owners get a proposed shared training preference AI companies plan one shared way to decline training use — Website operators may eventually express one preference to participating providers instead of maintaining separate instructions …

Bumble's Supriya Subudhi shares five lessons from testing AI photo feedback: adoption, bad outputs, costs, model choice and regional rollout.

imec benchmarks coding agents across models, harnesses and hardware, finding that utilization and concurrency can change the economics of self-hosting.

Upstart and Coval describe human review, AI judges and voice simulations for a regulated loan-verification agent.

Oracle's Wojciech Pluta demonstrates a memory-promotion gate that retains an operator's preferences while rejecting an unsafe blanket lending rule.

Matt Wolfe reviews Anthropic's proposed IPO, model releases, a hands-on Genie 4 demo, and an AI-generated complexity-theory claim.

Cursor expands the list of malicious extension versions Cursor adds an earlier Claude Code version to its warning — Review installation history for both affected versions, because updating the extension can leave the attacker’s separate …

Killian Carlsen-Phelan shows Sonar Vortex supplying project context before an agent writes code, then rejecting a temp-file permission fix that still fails the rule.

A timestamped deep dive through a three-hour course: Gmail intake, typed model decisions, Python policy, evals, Docker deployment, and the failure cases still to test.

Automating routine incident response can remove the practice engineers need for unfamiliar failures. HN adds training ideas and a challenge to the premise.

Tracing 1,285 AI citation trails shows how numbers survive after their evidence disappears or changes meaning. The automated fact-checker needed checking too.

Hard Fork examines Anthropic's revenue, fixed computing commitments, and slowing growth, then asks what AI spending and human oversight actually measure.

Human-directed attackers run intrusions in parallel CrowdStrike says hackers used AI to run parallel intrusions — Rotate old exposed credentials and restrict cloud permissions, because automation can reuse ordinary weaknesses across many …

IBM's Mixture of Experts connects AI-assisted security research, Block's speech-only Dessa preview, culturally specific evaluation and the data infrastructure agents need.

Jack Woodruff argues that faster research raises the baseline for investment work, while auditability and deciding what deserves attention remain human bottlenecks.

Rayan Krishnan shows how task-specific tests can reverse model rankings, expose hidden token costs, and turn a firm's past work into a buying guide.

Sonar’s Gitar workshop checks three ticketing-app changes: a refund bug outside the diff, an all-in pricing rule, and a failing check-in test.

Armin Ronacher combines speaker embeddings with a different Qwen speech model to add emotional instructions to custom voices.