Back issues
Octopus Deploy's lead researcher on its 2026 platform engineering survey of 379 professionals. Teams that mostly build platform features from scratch were about 3.5 times as likely to report lacking a clear strategy (57.9%) as teams building on templates or buying tools, and they lean harder on AI for legacy maintenance. Teams with ephemeral environments were far more likely to report AI improving delivery, which the author ties to DORA's finding that a strong platform amplifies AI's effect. The author, Charlotte Fleming, says plainly that the survey finds an association and cannot say which way it runs. This is a vendor's own survey, written up by the vendor.
A Towards Data Science essay built on one unnamed team's setup: each coding agent gets its own containerised desktop after shared checkouts led to one agent stashing others' work and another wiping it, and tasks move across a kanban board with a human approving a spec before the build and a code review after. The argument is that review attention is now the bottleneck, so the cheapest place to catch a mistake is the short spec, not the long pull request. It relays GitHub's option to switch off pull requests and Bun's reported week-long Zig-to-Rust rewrite without sources in the body. The team is not named in the text read, and the body stops at the fetch cap.
Lenny's How I AI episode page with Alex Cornell, Meta's design director for its consumer agent Muse. The takeaways are design ones: show agent activity at three levels (an emoji, a task list, raw logs), treat visible chain-of-thought as a latency workaround, keep generative UI's structure fixed and vary the content. Cornell is describing his own product, and there is no transcript here, only the episode's summary. The same episode arrived a second time at another address.
Google Cloud announces Looker Data Apps in preview: an agent builds a custom interactive app that runs inside Looker under its existing security and semantic layer. The post's useful line is its own premise, that an LLM-written tool without governed data, access control and an owner stays a prototype. A vendor launch post describing its own product.
Octopus Deploy's lead researcher on its 2026 platform engineering survey of 379 professionals. Teams that mostly build platform features from scratch were about 3.5 times as likely to report lacking a clear strategy (57.9%) as teams building on templates or buying tools, and they lean harder on AI for legacy maintenance. Teams with ephemeral environments were far more likely to report AI improving delivery, which the author ties to DORA's finding that a strong platform amplifies AI's effect. The author, Charlotte Fleming, says plainly that the survey finds an association and cannot say which way it runs. This is a vendor's own survey, written up by the vendor.
Fortune's wrap of its AIQ Summit: executives from ServiceNow, HPE, Palo Alto Networks, Peloton, Runway and others on moving from AI pilots to redesigned work. The recurring point is that automating old processes yields a small gain and rebuilding them yields the real one, and Runway's COO warns that AI use is not a proxy for productivity. The figures are executives' own about their own companies, such as Palo Alto's 83% fewer IT tickets and ServiceNow's maturity index. A conference recap of stage claims, none checked.
A short release note from Simon Willison. He had Codex build a small Python web app for browsing and editing a folder's files, meant to run over Tailscale so an agent can start it and he can edit from his phone. The whole post is a paragraph and a screenshot description. It keeps as a small first-person example of one developer shipping a tool by asking for it, and there is nothing more in it.
A practitioner's guide to why GPUs on Kubernetes lack the per-pod metrics, rightsizing and cost split that CPU and memory get for free. The concrete points: NVIDIA's DCGM exporter reports device-level numbers, so three pods sharing one GPU each look like they use all of it, and a container image's default device setting can let a pod grab every GPU on the box. Solid infrastructure writing. It is about running AI workloads, not about working with agents. The author's bio places her at a software company and is cut off before its name.
GitHub's own beginner tutorial on giving Copilot project context: repository and path-specific instruction files, agent skills as folders of instructions and scripts, custom agents, and MCP servers. It is clear and practical, and it is a vendor documenting its own product. It keeps as a plain map of where a team's house rules can live so an agent picks them up without being told each time.
Google Cloud's walkthrough of its Data Agent Kit, an IDE extension that gives coding agents MCP tools and Markdown skills for Google's data services. The example takes a fraud shortlist from raw logs through a Spark notebook, a dbt project, a model and a scheduled pipeline, all by prompting the agent. A vendor launch post showing its own product, useful mainly as another case of skills files used as agent context.
A first-person experiment on AI image judges. The author built 60 image pairs from 12 original images, each pair differing in one known way, and asked GPT-4o, Claude Sonnet 5 and Gemini 3.1 Flash Lite 1,080 questions with each pair shown in both orders. Asked which image had fewer compression artifacts, Claude picked the second image in 23 of 24 tries whatever it showed, so its right answers were luck. The piece cites the VisionQ benchmark, where the best of 20 judges was right 63.1% of the time, and ships a script to test your own judge for position bias and made-up answers. The author says the test is small and the author's own images may not generalise; the body stops at the fetch cap.
The New Stack relays a Sunday post by Andrej Karpathy, who joined Anthropic in May: by his own rough arithmetic about 6 billion people have barely used an LLM and only around 5,000 inside the labs see the frontier. His point for this paper is that capability peaks where work is digital and verifiable, and that agents show their value when given hours to test and retry, as his AutoResearch run of 50 overnight experiments did. Box's CEO answers with a pitch for agent swarms, which is a company describing its own market. The numbers are one person's estimate, labelled as such, and the body opens mid-sentence.
ByteByteGo's interview-based explainer on energy-based reasoning models, built around Logical Intelligence and its founder Eve Bodnia. The opening numbers are the vendor's own: in its public Sudoku demo, frontier language models solved 2% of puzzles for about $11,000 in API calls while its model Kona solved 96.2% for $4. The body explains why left-to-right token generation struggles with constraint problems and how an energy function scores candidate answers, which bears on how such systems can be checked. The figures come from the house running its own demo, and the body stops at the fetch cap in the middle of the training section.
The New Stack on a remote code execution flaw in Google's DevSite documentation platform. A reused OAuth client secret also signed Flask session cookies, so anyone who recovered it could forge a session and run Python on the server across seven domains. Google rated it at the top of its scale and paid Simon Köck $90,000, then took two months to patch. Real security reporting with the researcher quoted; off the paper's thesis apart from the lesson about secrets.
The New Stack on OpenCode 2.0. The open-source coding agent now runs as one background service that its terminal, desktop and web apps share, so a session started in one can be picked up in another. The rebuilt API lets an agent create a git worktree for a task and interrupt a stuck session, subagents and shell commands can run in the background, and a Code Mode lets agents call MCP tools from a single JavaScript program to save context. Real reporting on how a tool for running several agents at once is being built. The 'millions of daily users' figure is Anomaly's own.
Latent Space's write-up of an Anthropic session on dynamic workflows in Claude Managed Agents: the lead agent plans, writes an orchestration program that launches subagents, and collects their results. The Q&A is the useful part. Agent counts are governed by evals and low defaults, the model does not know its budget while running but a session budget can be set, subagents share a filesystem but cannot message each other, and flows cost much more than one agent. These are Anthropic's presenters describing their own product, and the body opens partway into the piece.
Google announces a rewritten second edition of its Site Reliability Engineering book, ten years after the first. The post lists how practices moved, from manual error budgets to burn-rate alerting and from scripts to platforms, and says the book covers running AI infrastructure and using AI in incident triage and postmortems. An announcement with a chapter outline, not the book; worth a line for any SRE reader.
Today's paper: 16 stories, 5 on the front page, 6 desks staffed.
The presses were quiet this morning — this is the October 13 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 7 of 10, I chose it.
One for 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: “Fortune’s AIQ Summit: The conversation has moved from experimentation to execution | Fortune”; “Release: web-edit 0.1a0”.
The New Stack — 300 appearances in the Times since August 22, 5 of them today.
Pulled from The New Stack. The original is worth your click — the byline earned it.
THE DIRECTING DESK today: 3 stories.
The presses were quiet this morning — this is the October 13 edition, and it still holds up.
Made the wire at 7 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: an engineering lead who directs more than they type. 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 2 more today: “🎙️ How I AI: How Meta designed Muse with Alex Cornell”; “Introducing Looker Data Apps | Google Cloud Blog”.
Towards Data Science — 101 appearances in the Times since September 5, 2 of them today.
Towards Data Science 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 13 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 7 of 10, I chose it.
One for 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: “Fortune’s AIQ Summit: The conversation has moved from experimentation to execution | Fortune”; “Release: web-edit 0.1a0”.
The New Stack — 300 appearances in the Times since August 22, 5 of them today.
Pulled from The New Stack. The original is worth your click — the byline earned it.
THE LOOP DESK today: 1 story.
The presses were quiet this morning — this is the October 13 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 — alone there today, which says something about the story.
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 CONTEXT DESK today: 2 stories.
The presses were quiet this morning — this is the October 13 edition, and it still holds up.
One of today's Five — the wire scored it 5 of 10, and I stamped it.
The one who feeds the agents' memory will get the most from this one. The move: file it where the agent looks first. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside one more today: “Bringing you the Data Agent Kit | Google Cloud Blog”.
GitHub Blog AI — 40 appearances in the Times since September 5, one of them today.
GitHub Blog AI has the full story; we hold the door open. Go read the original.
THE VERIFY DESK today: 4 stories.
The presses were quiet this morning — this is the October 13 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 8 of 10, I chose it.
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 3 more today: “Andrej Karpathy says only 5,000 people have seen what AI can really do”; “How to Build Models Without Language, with Logical Intelligence”, and 1 more.
Towards Data Science — 101 appearances in the Times since September 5, 2 of them today.
Pulled from Towards Data Science. The original is worth your click — the byline earned it.
THE FLEET DESK today: 2 stories.
The presses were quiet this morning — this is the October 13 edition, and it still holds up.
The wire scored it 7 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, beside one more today: “How Anthropic’s Dynamic Workflows Coordinate Claude Agents”.
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 WIRE today: 1 story.
The presses were quiet this morning — this is the October 13 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.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 3 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 13 edition, and it still holds up.
Made the wire at 7 of 10. Not the lead, and I'd still not leave it on the floor.
The reader this serves: an engineering lead who directs more than they type. 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 2 more today: “🎙️ How I AI: How Meta designed Muse with Alex Cornell”; “Introducing Looker Data Apps | Google Cloud Blog”.
Towards Data Science — 101 appearances in the Times since September 5, 2 of them today.
Towards Data Science has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 13 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: an engineering lead who directs more than they type. 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 2 more today: “Stop Using AI. Start Hiring It.”; “Introducing Looker Data Apps | Google Cloud Blog”.
Lenny's Newsletter — 54 appearances in the Times since August 24, one of them today.
Lenny's Newsletter has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 13 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: an engineering lead who directs more than they type. 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 2 more today: “Stop Using AI. Start Hiring It.”; “🎙️ How I AI: How Meta designed Muse with Alex Cornell”.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 3 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 13 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 7 of 10, I chose it.
One for 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: “Fortune’s AIQ Summit: The conversation has moved from experimentation to execution | Fortune”; “Release: web-edit 0.1a0”.
The New Stack — 300 appearances in the Times since August 22, 5 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 13 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 5 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: “Coding agents made building easy. Platform teams that build from scratch are 3.5x more likely to lack a strategy.”; “Release: web-edit 0.1a0”.
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 13 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: “Coding agents made building easy. Platform teams that build from scratch are 3.5x more likely to lack a strategy.”; “Fortune’s AIQ Summit: The conversation has moved from experimentation to execution | Fortune”.
Simon Willison — 144 appearances in the Times since August 22, one of them today.
Pulled from Simon Willison. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 13 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 — alone there today, which says something about the story.
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 13 edition, and it still holds up.
One of today's Five — the wire scored it 5 of 10, and I stamped it.
The one who feeds the agents' memory will get the most from this one. The move: file it where the agent looks first. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside one more today: “Bringing you the Data Agent Kit | Google Cloud Blog”.
GitHub Blog AI — 40 appearances in the Times since September 5, one of them today.
GitHub Blog AI has the full story; we hold the door open. Go read the original.
The presses were quiet this morning — this is the October 13 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: the one who feeds the agents' memory. The move: file it where the agent looks first. No per-story read on file; this note is the desk speaking, not the story.
Filed on THE CONTEXT DESK, beside one more today: “GitHub Copilot app for Beginners: How to teach Copilot about your codebase”.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 3 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 13 edition, and it still holds up.
The Five, and it earned the spot — the wire scored it 8 of 10, I chose it.
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 3 more today: “Andrej Karpathy says only 5,000 people have seen what AI can really do”; “How to Build Models Without Language, with Logical Intelligence”, and 1 more.
Towards Data Science — 101 appearances in the Times since September 5, 2 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 13 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 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 3 more today: “I Built a Trap for AI Image Judges. They Walked Into a Different One.”; “How to Build Models Without Language, with Logical Intelligence”, and 1 more.
The New Stack — 300 appearances in the Times since August 22, 5 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 13 edition, and it still holds up.
Inside pages at 5 of 10. The lead had a bigger day; this one had a point.
Best enjoyed by 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 3 more today: “I Built a Trap for AI Image Judges. They Walked Into a Different One.”; “Andrej Karpathy says only 5,000 people have seen what AI can really do”, and 1 more.
ByteByteGo — 38 appearances in the Times since August 22, one of them today.
Pulled from ByteByteGo. The original is worth your click — the byline earned it.
The presses were quiet this morning — this is the October 13 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 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 3 more today: “I Built a Trap for AI Image Judges. They Walked Into a Different One.”; “Andrej Karpathy says only 5,000 people have seen what AI can really do”, and 1 more.
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 13 edition, and it still holds up.
The wire scored it 7 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, beside one more today: “How Anthropic’s Dynamic Workflows Coordinate Claude Agents”.
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 13 edition, and it still holds up.
One of today's Five — the wire scored it 7 of 10, and I stamped it.
The reader this serves: a leader scaling past one agent. 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, beside one more today: “"A major overhaul": OpenCode 2.0 puts its terminal, desktop, and web apps on one shared service”.
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.
The presses were quiet this morning — this is the October 13 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.
Google Cloud AI Blog — 71 appearances in the Times since September 7, 3 of them today.
Our page is the summary; Google Cloud AI Blog's is the story. Click through — they earned it.
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.
We don't have much on this one. I'm still looking.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
Towards Data Science 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.
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.
Read The New Stack's original. They did the reporting.
I checked the shelf. Nothing yet.
GitHub Blog AI: 40 in our pages since September 5. I read them all — emphasis on investigative.
Go read GitHub Blog AI. They earned the byline.
Our files stop short. I'll keep looking.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
I can give you my notes. Towards Data Science can give you the reporting.
The headline is ahead of our files on this one.
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.
Our files stop short. I'll keep looking.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Google Cloud AI Blog has more than I can fit in this notebook.
We don't have much on this one. I'm still looking.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
Towards Data Science did the legwork on this one.
From our research notes:
Lenny's Newsletter: 54 in our pages since August 24. I read them all — emphasis on investigative.
This one's theirs. Read Lenny's Newsletter's reporting.
Something doesn't quite line up here.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Google Cloud AI Blog 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.
Not enough to call it yet. Back to the notebook.
Fortune Eye on AI: 108 in our pages since September 8. I read them all — emphasis on investigative.
I pulled this from Fortune Eye on AI. They've got the details.
The timing caught my eye. I'm checking that next.
Simon Willison: 144 in our pages since August 22. I read them all — emphasis on investigative.
This came from Simon Willison. Read their piece.
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.
Read The New Stack's original. They did the reporting.
I checked the shelf. Nothing yet.
GitHub Blog AI: 40 in our pages since September 5. I read them all — emphasis on investigative.
Go read GitHub Blog AI. They earned the byline.
Nothing in the files on this yet. I want to know why.
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.
Our files stop short. I'll keep looking.
Towards Data Science: 101 in our pages since September 5. I read them all — emphasis on investigative.
I can give you my notes. Towards Data Science can give you the reporting.
I've got two questions already. I need better answers.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
This came from The New Stack. Read their piece.
From our research notes:
ByteByteGo: 38 in our pages since August 22. I read them all — emphasis on investigative.
I pulled this from ByteByteGo. They've got the details.
There's a story here. We just don't have all of it yet.
The New Stack: 300 in our pages since August 22. I read them all — emphasis on investigative.
Go read The New Stack. They earned the byline.
The headline is ahead of our files on this one.
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 wrote this one up last time. Nothing useful to add today.
Latent Space: 109 in our pages since September 5. I read them all — emphasis on investigative.
This one's theirs. Read Latent Space's reporting.
Our files stop short. I'll keep looking.
Google Cloud AI Blog: 71 in our pages since September 7. I read them all — emphasis on investigative.
Google Cloud AI Blog has more than I can fit in this notebook.