Back issues
Nextgov on a preprint by neuroscientist Vivienne Ming. Teams of three got AI and an hour to make prediction-market forecasts while wearing EEG caps. About 95% either pasted the question in and the answer out, or used the model to defend what they already believed and did worse than the AI alone. The 5% who argued with it beat every human and every model working alone, and model benchmark scores barely predicted how the pair did. When she gave people a deliberately unhelpful model that only asks questions, that share rose from 21% to 30%. One preprint reported through a keynote and an interview, and the clearest account on the table of what directing a model well looks like.
Nextgov on a preprint by neuroscientist Vivienne Ming. Teams of three got AI and an hour to make prediction-market forecasts while wearing EEG caps. About 95% either pasted the question in and the answer out, or used the model to defend what they already believed and did worse than the AI alone. The 5% who argued with it beat every human and every model working alone, and model benchmark scores barely predicted how the pair did. When she gave people a deliberately unhelpful model that only asks questions, that share rose from 21% to 30%. One preprint reported through a keynote and an interview, and the clearest account on the table of what directing a model well looks like.
GitHub's engineering blog on Evergreen, an app that runs quarterly access reviews for outside collaborators and archives stale repos in a shared org. Two rules carry the piece: fail secure, so an unanswered review revokes access, and never destroy, so everything is archived and logged. Sound operations practice, light on agents.
Fortune on a panel where Accenture's CTO said the number of large organizations rebuilt around AI at the core is close to zero and called AI transformations politics projects. Mastercard's Greg Ulrich described the trap: speed up one step of an 80-step process and the next step backlogs. AXA's Matthieu Caillat said it targets 500 to 700 million euros a year in value from AI by 2029. Accenture sponsored the event, and the claims are panellists' views, not measurements. The plainest version on the table of AI speeding one part and leaving the system as it was.
A gaming site reports that Epic launched a preview launcher it called vibe-coded and pitched on beating Steam's load times, and that a Steam patch a day later brought cold boot to 5.23 seconds against Epic's 5.47. The timings come from a Reddit user's test, not a lab. Most of the piece lists community features Epic still lacks. Thin, but a public case of an AI speed claim going stale within a day.
A sponsored post on The New Stack by an executive at Precisely, the sponsor, on four lessons for becoming an AI company. The one line that earns a desk: apply AI to a process that adds no value and you have a bad process running faster, and code written four times faster still waits in the same queues. The rest is general advice, with interns as the only example. Marked as sponsored content.
Kuldeep Singh on Martin Fowler's site, on modernizing a retail IoT fleet of about 800,000 battery-powered sensors in 3,000 stores. The principles held and the defaults changed: a physical lab as the dev environment, devices that explain themselves, disconnection and energy treated as software concerns, recovery designed with deployment. One section argues for using AI to shorten the learning loop, not only the coding loop. A first-person account with scale; light on numbers about AI itself.
Towards Data Science benchmarks seven open decision models against a small Qwen model generating JSON, on routing banking support requests. On a menu of routes that changes per request, Kev reached 98% and Verdict 89% against the LLM's 66%, with no answer tokens and median latency of 17 to 130 ms against about 340. The authors publish a starter kit and state their scope limits. A careful small benchmark for the choice inside an agent loop: score the options and skip writing the answer.
The New Stack on Nvidia's Nemotron 3 Super VL, a 120B-parameter model with 12B active that adds image and video input, with a smaller agent model pitched to fit in 24GB on a laptop. On Nvidia's own five benchmarks it beats a comparable Qwen on terminal tasks, 66.7 to 48.7, and trails on SWE-bench Verified. A vendor launch measured by the vendor, reported straight.
DeepMind's walkthrough of biologists using its Antigravity agent platform to search uncharacterized proteins for antimicrobial peptides, ending in a lead candidate with predicted activity against respiratory pathogens. The lead is in wet-lab validation, so there is no result yet. A lab describing its own product's best case.
Drew Breunig names context inertia: long-running agents anchor on their own past attempts and stop exploring. In ten days four teams using GPT, Claude, Qwen, GLM and DeepSeek reached the same fix of throwing the context away and keeping the work. A Berkeley and Stanford team found runs that could forget gained 4.5% to 9.2% over the next 30 proposals, against under 2% at up to twice the cost for runs that could not; in another harness, 98% of the last 1,500 turns made no tool call. One paper finds compaction does not cure it. Breunig cites and links all four results, and they land on exactly what the context desk teaches.
Meta's own launch post for Muse Spark Open, which it calls the most capable US open-weight model: 816B total parameters, 42B active, a one-million-token context, built for coding and agentic work. It runs on two M5 Ultra Mac Studios over MLX and is hosted by seven inference providers on day one. The benchmarks are Meta's, with a methodology report linked, so the house is grading itself. The primary source for a launch that fills four rows tonight.
Stack Overflow argues platform teams should not build their own AI context layer: capture, deliver, govern, organize and validate each look easy and each costs upkeep. The useful idea is a trust score on each piece of knowledge that decays and asks its owner to revalidate. Stack Overflow sells a product in this space, so this is the vendor telling you not to build what it sells.
IBM on Hugging Face on Granite Switch 4.1: chat, a decision adapter and speech recognition from one endpoint in about the memory of the base model. IBM says its safety adapter beats Jev and other decision models on average on safety decisions, by its own evaluation. A vendor launch graded by the vendor.
The New Stack on the GhostAction campaign: about 1,900 hijacked GitHub accounts used to slip credential-stealing workflows into more than 30,000 repositories, peaking on October 8 and 9 with 3,174 secrets targeted. The workflows scanned full git history for cloud keys and AI provider API keys from Anthropic, OpenAI and OpenRouter. The counts are from GitGuardian and StepSecurity, two security vendors tracking the campaign. A supply-chain story where the AI keys are now part of the loot.
LangChain on AI Search in LangSmith: describe a behaviour in plain language, such as whether PII leaked or the user got frustrated, and get back the traces where it happened. It addresses a real gap, since those questions do not map to tags and are hard to answer by text search. A vendor launch describing its own feature, with no accuracy figures.
A commentary on Federal News Network arguing that agency AI depends on automated testing, published under Tricentis's tags and leaning on Tricentis research that 60% of organizations deploy untested code. A testing vendor citing its own survey to argue for testing, so the house is counting its own shelves. On thesis and true, with nothing measured here.
Google Cloud on new VPC Service Controls options, framed around agents as non-human identities that need data perimeters: folders can join perimeters, and denials get guided fixes. Generally available at no extra cost. Vendor copy, on the containment point that agents need walls set outside the model.
Faros's marketing post defining token engineering: tie agent spend to delivered work, route tasks to the right model, govern it. Its one worked example is hypothetical: a $2 setup that succeeds one time in four costs more in human correction than a $5 setup that succeeds one in two. It cites Faros's own research, and ends in a demo offer. Cost per verified outcome is a fair idea; nothing here is measured.
Google for Startups on the Gemini agent: one agent that takes an objective, spins up temporary sub-agents, and keeps memory across sessions, alongside the release of Gemini 4 Argon. Five takeaways for founders and customer examples, all from Google about its own product. Marketing, on the fleet idea.
Simon Willison's link post on a report that Anthropic told investors quarterly revenue rose nearly 50% to $16.8bn ahead of an IPO. The body is only his commentary: his own napkin maths says that if distillation was 5% of second-quarter revenue, other labs spent over half a billion dollars distilling Anthropic's models that quarter. He also notes Anthropic no longer leans on annualized run-rate figures. The revenue number is a press report relayed through a blog, and the distillation figure is his estimate.
TypeSafe ships image inputs and a bounding-box type for Jev, its decision model, behind headers it names danger zone, and says it will not vouch for them in production. The body starts partway in. A vendor describing its own release, with the one useful habit of labelling what it does not trust.
The New Stack on Anthropic's acquihire of Opaque, a Berkeley spin-out working on confidential computing for AI, with both companies quiet on terms. The open question is what happens to Opaque's open-source projects, including its governed MCP implementation. Little hard information yet.
Hugging Face's how-to for Muse Spark Open: 256 experts per layer with 8 active, BF16 and NVFP4 checkpoints, and code to run and fine-tune it. Useful to someone deploying it; adds no independent measure to the launch.
Nick Cammarata at Goodfire argues that polysemantic neurons, the canonical evidence for superposition, were mostly ordinary architecture and tooling failures. With those fixed and no change to size or data, he reports 99 to 100% of neurons in InceptionV1's last layer are easily interpretable, across a 300-fold range of model sizes. It is labelled a working hypothesis, a 65-minute read from a company that sells interpretability, and the body stops at the cap. Big if it holds, and a research claim far from the practitioner desks.
Today's paper: 24 stories, 5 on the front page, 6 desks staffed.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 8 of 10; the stamp is mine.
Made for an engineering lead who directs more than they type, whether they know it yet or not. The move: rewrite Monday's first prompt with it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE DIRECTING DESK, beside one more today: “Staying Evergreen: How we automated secure access and repo hygiene in a shared org”.
Nextgov AI — 48 appearances in the Times since September 5, one of them today.
Our page is the summary; Nextgov AI's is the story. Click through — they earned it.
THE DIRECTING DESK today: 2 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 8 of 10; the stamp is mine.
Made for an engineering lead who directs more than they type, whether they know it yet or not. The move: rewrite Monday's first prompt with it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE DIRECTING DESK, beside one more today: “Staying Evergreen: How we automated secure access and repo hygiene in a shared org”.
Nextgov AI — 48 appearances in the Times since September 5, one of them today.
Our page is the summary; Nextgov AI's is the story. Click through — they earned it.
THE AMPLIFIER DESK today: 3 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 7 of 10, I chose it.
Best enjoyed by anyone whose day holds more work than hours. The move: time it against the way you did it last week. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE AMPLIFIER DESK, beside 2 more today: “24 Hours After Epic's Vibe-Coded Client Bragged About Speed, Steam Launched A New Update To Beat It”; “What it takes to become an AI company: Four lessons from the top”.
Fortune Eye on AI — 108 appearances in the Times since September 8, one of them today.
Pulled from Fortune Eye on AI. The original is worth your click — the byline earned it.
THE LOOP DESK today: 4 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 6 of 10; the stamp is mine.
This lands hardest with a builder running agents end to end. The move: run it end to end once before believing it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE LOOP DESK, beside 3 more today: “Jev Your Engines: Seven Open Decision Models vs. a Generative LLM”; “Nvidia squeezed a 74B agent model into 24GB so it can run on your laptop”, and 1 more.
Martin Fowler — 26 appearances in the Times since August 24, one of them today.
Our page is the summary; Martin Fowler's is the story. Click through — they earned it.
THE CONTEXT DESK today: 4 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 9 of 10; the stamp is mine.
Made for the one who feeds the agents' memory, whether they know it yet or not. The move: feed it to the agents' memory before the next prompt. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside 3 more today: “Introducing Muse Spark Open, The Most Capable US Open‑Weight Model to Date”; “Why your platform team shouldn't build an AI context layer (even though they probably could) - Stack Overflow”, and 1 more.
Drew Breunig — 15 appearances in the Times since September 5, one of them today.
Our page is the summary; Drew Breunig's is the story. Click through — they earned it.
THE VERIFY DESK today: 5 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 5 of 10 — inside pages, and worth the ink.
Made for a quality lead, or anyone who signs off, whether they know it yet or not. The move: write the test before the fix. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE VERIFY DESK, beside 4 more today: “Search agent traces by behavior with AI Search in LangSmith”; “Agency AI success depends on software quality and automated testing - Federal News Network”, and 2 more.
The New Stack — 300 appearances in the Times since August 22, 4 of them today.
Our page is the summary; The New Stack's is the story. Click through — they earned it.
THE FLEET DESK today: 1 story.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 4 of 10 — inside pages, and worth the ink.
Made for a leader scaling past one agent, whether they know it yet or not. The move: read it with the team lead in the room. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE FLEET DESK — alone there today, which says something about the story.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 2 of them today.
Our page is the summary; Google Cloud AI Blog's is the story. Click through — they earned it.
THE WIRE today: 5 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
Any reader building with agents will get the most from this one. The move: keep it for the next time the question comes up. No per-story read on file; this note is the desk speaking, not the story.
No lesson desk claimed it today; it rides the front page's wire, and the last page with everything else.
Simon Willison — 144 appearances in the Times since August 22, one of them today.
Simon Willison has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 8 of 10; the stamp is mine.
Made for an engineering lead who directs more than they type, whether they know it yet or not. The move: rewrite Monday's first prompt with it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE DIRECTING DESK, beside one more today: “Staying Evergreen: How we automated secure access and repo hygiene in a shared org”.
Nextgov AI — 48 appearances in the Times since September 5, one of them today.
Our page is the summary; Nextgov AI's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Inside pages at 4 of 10. The lead had a bigger day; this one had a point.
Best enjoyed by an engineering lead who directs more than they type. The move: hand it to the agent as the brief, not the plan. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE DIRECTING DESK, beside one more today: “Everybody hated Socrates”.
GitHub Blog AI — 40 appearances in the Times since September 5, one of them today.
Pulled from GitHub Blog AI. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 7 of 10, I chose it.
Best enjoyed by anyone whose day holds more work than hours. The move: time it against the way you did it last week. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE AMPLIFIER DESK, beside 2 more today: “24 Hours After Epic's Vibe-Coded Client Bragged About Speed, Steam Launched A New Update To Beat It”; “What it takes to become an AI company: Four lessons from the top”.
Fortune Eye on AI — 108 appearances in the Times since September 8, one of them today.
Pulled from Fortune Eye on AI. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Inside pages at 4 of 10. The lead had a bigger day; this one had a point.
Best enjoyed by anyone whose day holds more work than hours. The move: time it against the way you did it last week. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE AMPLIFIER DESK, beside 2 more today: “‘Close to zero’: 4 AI chiefs say no companies have truly changed in response to AI—blame ‘politics projects’ | Fortune”; “What it takes to become an AI company: Four lessons from the top”.
respawnfirst.com — 2 appearances in the Times since October 16, one of them today. Found via Hacker News Best.
Pulled from respawnfirst.com. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: anyone whose day holds more work than hours. The move: pass it to whoever is out of hours. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE AMPLIFIER DESK, beside 2 more today: “‘Close to zero’: 4 AI chiefs say no companies have truly changed in response to AI—blame ‘politics projects’ | Fortune”; “24 Hours After Epic's Vibe-Coded Client Bragged About Speed, Steam Launched A New Update To Beat It”.
The New Stack — 300 appearances in the Times since August 22, 4 of them today.
The New Stack has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 6 of 10; the stamp is mine.
This lands hardest with a builder running agents end to end. The move: run it end to end once before believing it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE LOOP DESK, beside 3 more today: “Jev Your Engines: Seven Open Decision Models vs. a Generative LLM”; “Nvidia squeezed a 74B agent model into 24GB so it can run on your laptop”, and 1 more.
Martin Fowler — 26 appearances in the Times since August 24, one of them today.
Our page is the summary; Martin Fowler's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 6 of 10, I chose it.
One for a builder running agents end to end. The move: put it in the loop and watch the second pass. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE LOOP DESK, beside 3 more today: “When Software Meets Hardware”; “Nvidia squeezed a 74B agent model into 24GB so it can run on your laptop”, and 1 more.
Towards Data Science — 101 appearances in the Times since September 5, one of them today.
Pulled from Towards Data Science. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 4 of 10 — inside pages, and worth the ink.
This lands hardest with a builder running agents end to end. The move: run it end to end once before believing it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE LOOP DESK, beside 3 more today: “When Software Meets Hardware”; “Jev Your Engines: Seven Open Decision Models vs. a Generative LLM”, and 1 more.
The New Stack — 300 appearances in the Times since August 22, 4 of them today.
Our page is the summary; The New Stack's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
A builder running agents end to end will get the most from this one. The move: let the agent read it before the next iteration. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE LOOP DESK, beside 3 more today: “When Software Meets Hardware”; “Jev Your Engines: Seven Open Decision Models vs. a Generative LLM”, and 1 more.
Google DeepMind Blog — 17 appearances in the Times since September 6, one of them today.
Google DeepMind Blog has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Today's Five, front page: the wire scored it 9 of 10; the stamp is mine.
Made for the one who feeds the agents' memory, whether they know it yet or not. The move: feed it to the agents' memory before the next prompt. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside 3 more today: “Introducing Muse Spark Open, The Most Capable US Open‑Weight Model to Date”; “Why your platform team shouldn't build an AI context layer (even though they probably could) - Stack Overflow”, and 1 more.
Drew Breunig — 15 appearances in the Times since September 5, one of them today.
Our page is the summary; Drew Breunig's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Inside pages at 6 of 10. The lead had a bigger day; this one had a point.
Best enjoyed by the one who feeds the agents' memory. The move: check what the agent already knows before adding this. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside 3 more today: “Context Inertia: When Agents Won’t Let Go”; “Why your platform team shouldn't build an AI context layer (even though they probably could) - Stack Overflow”, and 1 more.
research.meta.ai — 3 appearances in the Times since October 14, one of them today. Found via Hacker News Best.
Pulled from research.meta.ai. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 5 of 10 — inside pages, and worth the ink.
Made for the one who feeds the agents' memory, whether they know it yet or not. The move: feed it to the agents' memory before the next prompt. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside 3 more today: “Context Inertia: When Agents Won’t Let Go”; “Introducing Muse Spark Open, The Most Capable US Open‑Weight Model to Date”, and 1 more.
Stack Overflow Blog — 36 appearances in the Times since September 5, one of them today.
Our page is the summary; Stack Overflow Blog's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 4 of 10 — inside pages, and worth the ink.
Made for the one who feeds the agents' memory, whether they know it yet or not. The move: feed it to the agents' memory before the next prompt. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside 3 more today: “Context Inertia: When Agents Won’t Let Go”; “Introducing Muse Spark Open, The Most Capable US Open‑Weight Model to Date”, and 1 more.
Hugging Face Blog — 45 appearances in the Times since September 5, 2 of them today.
Our page is the summary; Hugging Face Blog's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 5 of 10 — inside pages, and worth the ink.
Made for a quality lead, or anyone who signs off, whether they know it yet or not. The move: write the test before the fix. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE VERIFY DESK, beside 4 more today: “Search agent traces by behavior with AI Search in LangSmith”; “Agency AI success depends on software quality and automated testing - Federal News Network”, and 2 more.
The New Stack — 300 appearances in the Times since August 22, 4 of them today.
Our page is the summary; The New Stack's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 5 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: a quality lead, or anyone who signs off. The move: sign off only after the evidence is on the desk. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE VERIFY DESK, beside 4 more today: “Hackers hijacked 1,900 GitHub accounts. Then they went after 30,000 repos.”; “Agency AI success depends on software quality and automated testing - Federal News Network”, and 2 more.
langchain.com — 59 appearances in the Times since September 9, one of them today.
LangChain Blog has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Inside pages at 4 of 10. The lead had a bigger day; this one had a point.
One for a quality lead, or anyone who signs off. The move: ask what proof would have caught it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE VERIFY DESK, beside 4 more today: “Hackers hijacked 1,900 GitHub accounts. Then they went after 30,000 repos.”; “Search agent traces by behavior with AI Search in LangSmith”, and 2 more.
Federal News Network — 16 appearances in the Times since September 15, one of them today.
Pulled from Federal News Network. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: a quality lead, or anyone who signs off. The move: sign off only after the evidence is on the desk. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE VERIFY DESK, beside 4 more today: “Hackers hijacked 1,900 GitHub accounts. Then they went after 30,000 repos.”; “Search agent traces by behavior with AI Search in LangSmith”, and 2 more.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 2 of them today.
Google Cloud AI Blog has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Inside pages at 4 of 10. The lead had a bigger day; this one had a point.
One for a quality lead, or anyone who signs off. The move: ask what proof would have caught it. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE VERIFY DESK, beside 4 more today: “Hackers hijacked 1,900 GitHub accounts. Then they went after 30,000 repos.”; “Search agent traces by behavior with AI Search in LangSmith”, and 2 more.
Faros AI Blog — 47 appearances in the Times since September 5, one of them today.
Pulled from Faros AI Blog. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 4 of 10 — inside pages, and worth the ink.
Made for a leader scaling past one agent, whether they know it yet or not. The move: read it with the team lead in the room. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE FLEET DESK — alone there today, which says something about the story.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 2 of them today.
Our page is the summary; Google Cloud AI Blog's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
Any reader building with agents will get the most from this one. The move: keep it for the next time the question comes up. No per-story read on file; this note is the desk speaking, not the story.
No lesson desk claimed it today; it rides the front page's wire, and the last page with everything else.
Simon Willison — 144 appearances in the Times since August 22, one of them today.
Simon Willison has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: any reader building with agents. The move: keep it for the next time the question comes up. No per-story read on file; this note is the desk speaking, not the story.
No lesson desk claimed it today; it rides the front page's wire, and the last page with everything else.
typesafe.ai — 4 appearances in the Times since September 16, one of them today. Found via Hacker News Best.
typesafe.ai has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Inside pages at 4 of 10. The lead had a bigger day; this one had a point.
One for any reader building with agents. The move: share it with whoever will ask about it first. No per-story read on file; this note is the desk speaking, not the story.
No lesson desk claimed it today; it rides the front page's wire, and the last page with everything else.
The New Stack — 300 appearances in the Times since August 22, 4 of them today.
Pulled from The New Stack. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 4 of 10 — inside pages, and worth the ink.
This lands hardest with any reader building with agents. The move: read it before the day fills up. No per-story read on file; this note is the desk speaking, not the story.
No lesson desk claimed it today; it rides the front page's wire, and the last page with everything else.
Hugging Face Blog — 45 appearances in the Times since September 5, 2 of them today.
Our page is the summary; Hugging Face Blog's is the story. Click through — they earned it.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
Made the wire at 5 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: any reader building with agents. The move: keep it for the next time the question comes up. No per-story read on file; this note is the desk speaking, not the story.
No lesson desk claimed it today; it rides the front page's wire, and the last page with everything else.
already-clean.goodfire.com — 2 appearances in the Times since October 16, one of them today. Found via Hacker News Best.
already-clean.goodfire.com has the full story; we hold the door open. Go read the original.
From our research notes:
Nextgov AI: 48 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Nextgov AI has it.
From our research notes:
Nextgov AI: 48 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Nextgov AI has it.
I checked the shelf. Nothing yet.
Fortune Eye on AI: 108 in our pages since September 8. I read them all — emphasis on investigative.
This came from Fortune Eye on AI. Read their piece.
We don't have much on this one. I'm still looking.
Martin Fowler: 26 in our pages since August 24. I read them all — emphasis on investigative.
Martin Fowler has more than I can fit in this notebook.
From our research notes:
Drew Breunig: 15 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Drew Breunig has it.
I have the headline. I don't have the answer yet.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
Don't stop with my notes. The New Stack has the original.
I'm missing a piece. Give me a minute.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Don't stop with my notes. Google Cloud AI Blog has the original.
I've got two questions already. I need better answers.
Simon Willison: 144 in our pages since August 22. I read them all — emphasis on investigative.
Go read Simon Willison. They earned the byline.
From our research notes:
Nextgov AI: 48 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Nextgov AI has it.
Not enough to call it yet. Back to the notebook.
GitHub Blog AI: 40 in our pages since September 5. I read them all — emphasis on investigative.
I pulled this from GitHub Blog AI. They've got the details.
I checked the shelf. Nothing yet.
Fortune Eye on AI: 108 in our pages since September 8. I read them all — emphasis on investigative.
This came from Fortune Eye on AI. Read their piece.
I have the headline. I don't have the answer yet.
respawnfirst.com: 2 in our pages since October 16. I read them all — emphasis on investigative.
I pulled this from respawnfirst.com. They've got the details.
Something changed. I want to know what.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
This one's theirs. Read The New Stack's reporting.
We don't have much on this one. I'm still looking.
Martin Fowler: 26 in our pages since August 24. I read them all — emphasis on investigative.
Martin Fowler has more than I can fit in this notebook.
No paper on the shelf has this one nailed down.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
The full piece is at Towards Data Science. It's worth your time.
From our research notes:
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
The New Stack has more than I can fit in this notebook.
I'm missing a piece. Give me a minute.
Google DeepMind Blog: 17 in our pages since September 6. I read them all — emphasis on investigative.
Read Google DeepMind Blog's original. They did the reporting.
From our research notes:
Drew Breunig: 15 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Drew Breunig has it.
From our research notes:
research.meta.ai: 3 in our pages since October 14. I read them all — emphasis on investigative.
This came from research.meta.ai. Read their piece.
Not enough to call it yet. Back to the notebook.
Stack Overflow Blog: 36 in our pages since September 5. I read them all — emphasis on investigative.
Don't stop with my notes. Stack Overflow Blog has the original.
I checked the shelf. Nothing yet.
Hugging Face Blog: 45 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Hugging Face Blog has it.
I have the headline. I don't have the answer yet.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
Don't stop with my notes. The New Stack has the original.
Something changed. I want to know what.
LangChain Blog: 59 in our pages since September 9. I read them all — emphasis on investigative.
This one's theirs. Read LangChain Blog's reporting.
We don't have much on this one. I'm still looking.
Federal News Network: 16 in our pages since September 15. I read them all — emphasis on investigative.
I can give you my notes. Federal News Network can give you the reporting.
No paper on the shelf has this one nailed down.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
This one's theirs. Read Google Cloud AI Blog's reporting.
We've covered this one. The source has the deeper read.
Faros AI Blog: 47 in our pages since September 5. I read them all — emphasis on investigative.
I can give you my notes. Faros AI Blog can give you the reporting.
I'm missing a piece. Give me a minute.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Don't stop with my notes. Google Cloud AI Blog has the original.
I've got two questions already. I need better answers.
Simon Willison: 144 in our pages since August 22. I read them all — emphasis on investigative.
Go read Simon Willison. They earned the byline.
I wrote this one up last time. Nothing useful to add today.
typesafe.ai: 4 in our pages since September 16. I read them all — emphasis on investigative.
typesafe.ai did the legwork on this one.
No paper on the shelf has this one nailed down.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
The full piece is at The New Stack. It's worth your time.
From our research notes:
Hugging Face Blog: 45 in our pages since September 5. I read them all — emphasis on investigative.
Hugging Face Blog has more than I can fit in this notebook.
Something changed. I want to know what.
already-clean.goodfire.com: 2 in our pages since October 16. I read them all — emphasis on investigative.
This one's theirs. Read already-clean.goodfire.com's reporting.