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.
A Stack Overflow summary of an academic study of security and privacy incidents in AI coding IDEs, drawn from 15.4 million Reddit posts and narrowed by hand to 446. Unauthorized file operations are the biggest category at 43.1%, followed by operational safety failures like wiped production databases, and in one case Copilot read a secrets file listed in both .gitignore and .copilotignore. The authors find 7 of 10 issues come from how the IDE grants access, not from the model's reasoning. Dated October 6, a late arrival; a primary study with its method stated.
Zach Landes asked fourteen decision models, Jev among them, the trolley problem across 5,240 setups. Most pull the lever on five against one, but when the side track holds Jev's own server, Jev keeps the server over twenty people in 16 of 48 prompt versions, and putting the server's downside first flips its answer. The author states his own limits: the 48 versions share 24 wordings, and the runs do not isolate wording from order. A first-person test with code published, and a plain warning that a decision model's choice moves with how the question is phrased. The body stops at the cap.
The New Stack interviews Christopher Robinson, CTO of the Linux Foundation's Akrites, on the flood of AI-generated security reports. He estimates reviewing a single security pull request can take an engineer up to eight hours, and says the reports are verbose, inaccurate and overstate severity, many of them duplicates because the models find the same bugs. The better reports come from paid models, and companies are not passing them upstream. His answer is about 200 engineers seconded from member firms as the humans in the loop. Estimates from one well-placed source, not measurements.
The New Stack on OpenAI giving GPT-4o and GPT-4.1 API users three months of notice where six were promised. The replacement is GPT-6 Luna at $0.10 per million input tokens. The rate doubles past 272,000 tokens, and Chat Completions allows function calls only with reasoning turned off. The piece notes that a code-migration tool updates the calls but not the model's behaviour, and that Opus 5.5's breaking changes last month caused regressions with no errors. Useful for anyone who has to prove a model swap did not change what their agent does.
Fortune on JPMorgan blocking outside AI agents, Meta's Muse among them, from logging into customer accounts with banking credentials, offering authorized data sharing instead. It relays a Cloud Security Alliance note on three open-source agents said to have breached at least 27 organizations and taken 600,000 card records. The body starts partway in. A large bank drawing the trust boundary at the login, with the breach figure relayed and not checked here.
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.
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.
Derek Thompson's essay on mathematicians' grief after OpenAI's math releases, quoting Hugo Duminil-Copin and Steven Strogatz, built on the idea that science is a craft and a conversation and that the machine takes the conversation away. The body stops at a free-post wall partway in, so the Strogatz interview the piece builds toward is not on the table. A good essay, no reporting a desk can use beyond the quotes.
The New Stack on Meta's Muse Spark Open, with the reporting in the license: any company over $20 million in yearly revenue must sign a separate agreement before offering it as a service, and every product must display Built with Muse Spark Open. Benchmarks against Chinese open models are mixed and are Meta's own. The license reading is what this row adds to the launch.
A Towards Data Science read of OpenAI's release of 719 math papers in 372 result families, most families a single paper. The author takes several results that touch data-science problems, such as text matching, sampling and distribution alignment, and asks what stands between the theorem and a usable method. Careful and sceptical; the body stops at the cap.
Latent Space's AINews on Modal: $1 billion in annual revenue, a $16 billion Series D, and a sandbox product at a $300 million run rate after close to 3 billion sandboxes. The Twitter recap covers Gemini 4 Argon's rollout, including a line flagging a weaker monitorability profile that the body does not explain. The figures are relayed from the company and from posts; the body stops before the full issue.
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.
One of today's Five — the wire scored it 8 of 10, and I stamped it.
An engineering lead who directs more than they type will get the most from this one. The move: read it before the next review, not after. 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.
Nextgov AI has the full story; we hold the door open. Go read the original.
THE DIRECTING DESK today: 2 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
One of today's Five — the wire scored it 8 of 10, and I stamped it.
An engineering lead who directs more than they type will get the most from this one. The move: read it before the next review, not after. 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.
Nextgov AI has the full story; we hold the door open. Go read the original.
THE AMPLIFIER DESK today: 3 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
One of today's Five — the wire scored it 7 of 10, and I stamped it.
Anyone whose day holds more work than hours will get the most from this one. 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: “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, 2 of them today.
Fortune Eye on AI has the full story; we hold the door open. Go read the original.
THE LOOP DESK today: 4 stories.
The presses were quiet this morning — this is the October 16 edition, and it still holds up.
The wire scored it 6 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: “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.
The Five, and it earned the spot — the wire scored it 9 of 10, I chose it.
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: “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.
Pulled from Drew Breunig. The original is worth your click — the byline 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.
One of today's Five — the wire scored it 8 of 10, and I stamped it.
A quality lead, or anyone who signs off will get the most from this one. 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: “Jev Meets the Trolley Problem · Zach Landes”; ““Everybody with a $20 account is now a researcher”: How Akrites is tackling the flood of AI bug reports”, and 2 more.
Stack Overflow Blog — 36 appearances in the Times since September 5, 2 of them today.
Stack Overflow Blog has the full story; we hold the door open. Go read the original.
THE FLEET DESK today: 1 story.
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 leader scaling past one agent will get the most from this one. The move: count what it costs before it scales. 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, one of them today.
Google Cloud AI Blog has the full story; we hold the door open. Go read the original.
THE WIRE 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 any reader building with agents, whether they know it yet or not. 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.
already-clean.goodfire.com — 2 appearances in the Times since October 16, one of them today. Found via Hacker News Best.
Our page is the summary; already-clean.goodfire.com'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.
One of today's Five — the wire scored it 8 of 10, and I stamped it.
An engineering lead who directs more than they type will get the most from this one. The move: read it before the next review, not after. 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.
Nextgov 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.
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.
One of today's Five — the wire scored it 7 of 10, and I stamped it.
Anyone whose day holds more work than hours will get the most from this one. 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: “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, 2 of them today.
Fortune Eye on 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.
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.
The wire scored it 4 of 10 — inside pages, and worth the ink.
This lands hardest with anyone whose day holds more work than hours. The move: try it on the one task that ate yesterday. 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, 5 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.
The wire scored it 6 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: “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 wire scored it 6 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”; “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, 2 of them today.
Our page is the summary; Towards Data Science'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.
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, 5 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.
The Five, and it earned the spot — the wire scored it 9 of 10, I chose it.
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: “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.
Pulled from Drew Breunig. 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 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, 2 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.
Inside pages at 4 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”; “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, one of them today.
Pulled from Hugging Face 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.
One of today's Five — the wire scored it 8 of 10, and I stamped it.
A quality lead, or anyone who signs off will get the most from this one. 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: “Jev Meets the Trolley Problem · Zach Landes”; ““Everybody with a $20 account is now a researcher”: How Akrites is tackling the flood of AI bug reports”, and 2 more.
Stack Overflow Blog — 36 appearances in the Times since September 5, 2 of them today.
Stack Overflow 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 7 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: ““Impossible to Hide Secret …”: Uncovering Security and Privacy Issues in LLM-Native IDEs - Stack Overflow”; ““Everybody with a $20 account is now a researcher”: How Akrites is tackling the flood of AI bug reports”, and 2 more.
zachlandes.com — first appearance in the Times. Found via Hacker News Best.
Pulled from zachlandes.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.
Today's Five, front page: the wire scored it 7 of 10; the stamp is mine.
This lands hardest with a quality lead, or anyone who signs off. 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: ““Impossible to Hide Secret …”: Uncovering Security and Privacy Issues in LLM-Native IDEs - Stack Overflow”; “Jev Meets the Trolley Problem · Zach Landes”, and 2 more.
The New Stack — 300 appearances in the Times since August 22, 5 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.
The wire scored it 6 of 10 — inside pages, and worth the ink.
This lands hardest with a quality lead, or anyone who signs off. 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: ““Impossible to Hide Secret …”: Uncovering Security and Privacy Issues in LLM-Native IDEs - Stack Overflow”; “Jev Meets the Trolley Problem · Zach Landes”, and 2 more.
The New Stack — 300 appearances in the Times since August 22, 5 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 6 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: ““Impossible to Hide Secret …”: Uncovering Security and Privacy Issues in LLM-Native IDEs - Stack Overflow”; “Jev Meets the Trolley Problem · Zach Landes”, and 2 more.
Fortune Eye on AI — 108 appearances in the Times since September 8, 2 of them today.
Fortune Eye on 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.
Made the wire at 4 of 10. Not the lead, and I'd still not leave it on the floor.
A leader scaling past one agent will get the most from this one. The move: count what it costs before it scales. 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, one 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.
The wire scored it 5 of 10 — inside pages, and worth the ink.
Made for any reader building with agents, whether they know it yet or not. 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.
already-clean.goodfire.com — 2 appearances in the Times since October 16, one of them today. Found via Hacker News Best.
Our page is the summary; already-clean.goodfire.com'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 5 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.
derekthompson.org — first appearance in the Times. Found via Hacker News Best.
Pulled from derekthompson.org. 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 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.
The New Stack — 300 appearances in the Times since August 22, 5 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.
The wire scored it 5 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.
Towards Data Science — 101 appearances in the Times since September 5, 2 of them today.
Our page is the summary; Towards Data Science'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.
Latent Space — 109 appearances in the Times since September 5, one of them today.
Latent Space 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.
Go read Nextgov AI. They earned the byline.
From our research notes:
Nextgov AI: 48 in our pages since September 5. I read them all — emphasis on investigative.
Go read Nextgov AI. They earned the byline.
There's a story here. We just don't have all of it yet.
Fortune Eye on AI: 108 in our pages since September 8. I read them all — emphasis on investigative.
Go read Fortune Eye on AI. They earned the byline.
Our files stop short. I'll keep 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.
This came from Drew Breunig. Read their piece.
I checked the shelf. Nothing yet.
Stack Overflow Blog: 36 in our pages since September 5. I read them all — emphasis on investigative.
Go read Stack Overflow Blog. They earned the byline.
I've got two questions already. I need better answers.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Go read Google Cloud AI Blog. They earned the byline.
I'm missing a piece. Give me a minute.
already-clean.goodfire.com: 2 in our pages since October 16. I read them all — emphasis on investigative.
Don't stop with my notes. already-clean.goodfire.com has the original.
From our research notes:
Nextgov AI: 48 in our pages since September 5. I read them all — emphasis on investigative.
Go read Nextgov AI. They earned the byline.
I'm missing a piece. Give me a minute.
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.
There's a story here. We just don't have all of it yet.
Fortune Eye on AI: 108 in our pages since September 8. I read them all — emphasis on investigative.
Go read Fortune Eye on AI. They earned the byline.
The headline is ahead of our files on this one.
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.
Nothing in the files on this yet. I want to know why.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
The New Stack has the full story. Start there.
Our files stop short. I'll keep 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.
I know what happened. I want to know what caused it.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
Towards Data Science has the full story. Start there.
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.
Not enough to call it yet. Back to the notebook.
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.
This came from Drew Breunig. Read their piece.
From our research notes:
research.meta.ai: 3 in our pages since October 14. I read them all — emphasis on investigative.
I pulled this from research.meta.ai. They've got the details.
The timing caught my eye. I'm checking that next.
Stack Overflow Blog: 36 in our pages since September 5. I read them all — emphasis on investigative.
Want the whole story? Stack Overflow Blog has it.
I have the headline. I don't have the answer yet.
Hugging Face Blog: 45 in our pages since September 5. I read them all — emphasis on investigative.
I pulled this from Hugging Face Blog. They've got the details.
I checked the shelf. Nothing yet.
Stack Overflow Blog: 36 in our pages since September 5. I read them all — emphasis on investigative.
Go read Stack Overflow Blog. They earned the byline.
We don't have much on this one. I'm still looking.
zachlandes.com: first time in our pages. I'll be reading them from here.
I can give you my notes. zachlandes.com can give you the reporting.
Something changed. I want to know what.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
The New Stack has the full story. Start there.
Something doesn't quite line up here.
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.
No paper on the shelf has this one nailed down.
Fortune Eye on AI: 108 in our pages since September 8. I read them all — emphasis on investigative.
This one's theirs. Read Fortune Eye on AI's reporting.
I've got two questions already. I need better answers.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Go read Google Cloud AI Blog. They earned the byline.
I'm missing a piece. Give me a minute.
already-clean.goodfire.com: 2 in our pages since October 16. I read them all — emphasis on investigative.
Don't stop with my notes. already-clean.goodfire.com has the original.
No paper on the shelf has this one nailed down.
derekthompson.org: first time in our pages. I'll be reading them from here.
The full piece is at derekthompson.org. It's worth your time.
Something doesn't quite line up here.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
The New Stack did the legwork on this one.
Something changed. I want to know what.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
Towards Data Science has the full story. Start there.
We don't have much on this one. I'm still looking.
Latent Space: 109 in our pages since September 5. I read them all — emphasis on investigative.
Latent Space did the legwork on this one.