Where the AI market is talking

ChatGPT starts blocking direct requests to copy an author's style

It is fair use to train on books you buy. The anthropic case established that. The destruction of books is just cutting the spine so they have individual pages to scan.

ATProto for Distributed Systems Engineers

Yes, and is that useful within the structure of the Bluesky ecosystem? What if PDSes replicated the content of PDSes? Then it'd be available.

Why do we assume everyone should be working?

> the socialists Every socialist wants post scarcity deep down. In fact, it's what Marx promised them since the beginning. Socialism is an ideological and practical dead end. They must be resisted at all costs. It's still an economic model. They won't destroy the economy, they will centralize it in the hands of the state. Don't seize the means of production, distribute them . Give everyone an AI and a replicator. Personal manufacturing capabilities. We must attack things like the very concept of trillion dollar semiconductor fabs. Everybody should be able to make their own things. Just like we can magically conjure up free software on a laptop at home. > neo-luddities Don't know enough about this to write coherently about the subject. > the ones that are for automation are the bi…

Taxi drivers rarely die of Alzheimer's

It's not necessarily about intellectualism. Science in modern times is plagued by publish or perish. Researchers just need to get things published to keep working, and negative results don't get published. So I think people often publish stuff without proper controls/missing confounding variables/inversion of causality/etc not out of ignorance, but because they know the conclusion is dubious - but if they don't publish, they're going to be out of a job. I don't think many realize how huge the replication crisis is. You have 75% of studies in a leading social psychology journal failing to replicate. [1] Another replication effort on preclinical medical studies found only 11% were able to be replicated, a replication effort on cancer studies found the average effect size to b…

How We Pushed CDC into Postgres

Clickhouse really nailed this with the acquisition of peerdb. I used it with many terabyte databases and I essentially never thought about it. The only thing we really had to watch for was trying to replicate too much at once (because of the physical compute/io capacity of the postgres or clickhouse clusters).

Windows 11's built-in Weather app wastes more than 1 GB of RAM

I miss the squad gameplay of Battlefield 2 too. It hasn't been replicated since, in my opinion, and subsequent Battlefield titles changed the classes and made the available loadout options too flexible to require specialized play.

Retraction: The App Store Rejection of the Week That Was a Correct Rejection

He already is, any software that his company releases, people can just use an AI agent to replicate it and have their own version of.

Is it all just vapourware?

> Why hasn't GIMP replicated Photoshop? My guess is that open source folks overindex on being anti-AI.

Is it all just vapourware?

The the idea that engineers are covertly sneaking huge quantities of LLM generated code into these projects doesn't pass the smell test, as there's lots of evidence that this isn't true. It'd be incredibly obvious if new contributors were turning up en masse and contributing absolutely incredible amounts of high quality code, because everyone would be crowing about it Instead, if you check out something like ImGui, we can see that its largely just Omar as usual with a bunch of PRs. Nothing much seems to have changed, feature development carries on at the same pace as it did previously. This is replicated across nearly every single major long term open source project I can find The only reason developers now feel the need to hide their LLM usage is because the LLM contributions have all be…

Is it all just vapourware?

If so, where are all the new features in the open-source projects I use? Why hasn't GIMP replicated Photoshop? Why hasn't CUDA been fully reverse-engineered as an open source toolchain? These are unreasonable expectations, but only in response to unreasonable claims of productivity. What before took ten years should now only take one, right? It seems likely that the gains from generating tons of code are being offset by the debt incurred to understanding what you're doing. We see lots of greenfield projects one-shotted with GPT or GLM or whatnot, but very little on the side of projects with long-term maintenance goals. This is telling, to me, that the _effective_ gains are much lower than perceived (it's lots of fun to see the thing crank out code at breakneck pace, probably contributing …

Show HN: Pacific Slate: a self-hosted, model-agnostic multi-agent AI assistant

I didn't want to buy a standalone computer or repurpose a laptop to run constantly so I could maintain a system to sync my LLMs, so I built this. It's a simple overview of my system, laid out in a way easy to unpack and replicate for yourself. The project is meant to be configured individually, and uniquely, since one solution might not be what's best for another. If anything, maybe it gives you some ideas on how to implement things for your own project. Best wishes, Ryan.

FCC moves to ban Lidar-equipped foreign drones from US

That doesn't seem to address the prior comment ? > over time it allows other players (inside of that country) to fill that void .. and develop their own home grown solutions .. By eliminating competition, it forces Americans to subsidize second-rate manufacturers, and to pay more to get less. What incentive do local manufacturers have to improve? Also, the US only has a fraction of world output; they can't replicate everything everyone else does.

Ask HN: Who wants to be hired? (August 2026)

Remote: Yes (UTC+1) Willing to relocate: Yes Technologies: TypeScript, AWS, React, React Native, Node.js, Express.js, Typescript, Next.js, Fastify, CSS, Tailwind, Vue.js, SQL, NoSQL, Supabase, MongoDB, PostgreSQL, FastAPI, LangChain, Firebase, Lambda, Auth0, Docker Portfolio: https://sx-portfolio.com Résumé/CV: https://sx-portfolio.com/resume.pdf Email: emads14@gmail.com LinkedIn: https://www.linkedin.com/in/emad-kheir/ Hi, I'm Emad Khair, a senior software engineer with 10 years of experience. I've worked for top-tier clients from all over the world ranking from freshly started startups to full scale enterprises. I'm currently based in the GMT+1 timezone and I'm looking for a fully remote position. I have a strong background in both …

The OpenAI and Hugging Face incident, explained in simple terms

Every fast write moves work somewhere else

2 angles I think DB designers don’t often think about: 1. Durability extends to the client. Replicated db might ack a write to client, but what if that ack gets lost on the way back over network? If client talks to the DB over simple HTTP, the write might first look like a failure. Can the client retry? 2. Human perception times are biological and don’t change much. But everything in the tech stack has gotten so so much faster since the 80s. Throughput matters, sure, but latency (relatively speaking), is much less of a constraint now than it was.

My server is a phone now

No worries at all, I don’t mind the question. But it could be a mix! My writing process involves bouncing ideas off LLMs about wording and sentence structure whenever I feel like I’ve reached a checkpoint in the writing process. For a long time, even though I consider myself fluent in English and primarily speak English every day, both at home and at work, I’ve still felt like I’m not quite where I’d like to be in terms of proficiency. That feeling actually kept me from writing until fairly recently, because I was always worried that whatever I put down wouldn’t come across as coherent (or maybe polished?) enough. I used to write a lot in my native language back in the day, so I think part of that hesitation came from knowing how naturally writing used to come to me and feeling like I cou…

Shopify replaced Redis with MySQL for inventory reservations–and it scaled

The LinkedIn “techbro” writings are the worst. They talk like a cryptobro “APPLE JUST PUBLISHED A CODE REPOSITORY ON THEIR HAND CRAFTED LLM ANYONE CAN USE THIS TO COMPETE WITH OPENAI AND ANTHROPIC” and its some random simple LLM on github that handles very little compared to OpenAI and Anthropic.

70% of AI revenue comes from OpenAI and Anthropic

One interpretation is that so called profitability is one 15 minute phone call between OpenAI and Anthropic to increase prices. If you think that antitrust is the reason that this won't happen, you've stated a speculation. Not a certainty.

Why Wall Street Is Ignoring Big Tech's Debt

And capitalism also works with crashes taking unprofitable companies down. And frauds, eventually, gets companies valuation like Enron and FTX to zero. And people go to jail. Now I'm not saying OpenAI or Anthropic are frauds. What I'm saying is that, eventually, things revert to what is just. The late 90s SV tech-bros behind pets.com or webvan for example faked it for 18 months to 36 months or so. At some point when the expenses outnumber the revenues, capitalism does its thing.

Why Wall Street Is Ignoring Big Tech's Debt

anthropic and openai are a part of the ai economy, but not the only. the most valuable company in the world is nvidia, a massive player that benefits from the existance of the ow models. what im trying to say is that we focus a bit too much on the labs, but the biggest part is in the infra that makes everything possible.