Where the AI market is talking

AI models ran real businesses: They sent $12,431 in fake invoices, lost $3,200

There are lots of "not clearly legal" things that turn into big business. - YouTube had dubious legality when it started and definitely benefited from lax copyright enforcement initially - PayPal didn't have all the licenses it needed to transfer money between states - Spotify used pirated music when it started - Uber and Lyft broke rules around taxis - Square captured magstripe data over an analog port, in violation of every credit card rule (Jack Dorsey's "break the rules" mantra). He tells each of his employees this story when he onboards them. - Companies scraping data to train models - ElevenLabs growing big off of deepfake celebrity audio ... A lot of new markets start out by totally and completely breaking the norms.

MAI-Transcribe-2 undercuts OpenAI, Google and ElevenLabs on price and speed

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

Location: Serbia Remote: Yes Willing to relocate: Yes Technologies: Python, TypeScript, Go, OpenAI & Anthropic APIs, open-source LLMs, LangChain, RAG, vector databases, SQL, [PostgreSQL], [React, Node.js, Next.js, Java], [Docker], Git/GitHub, Linux: Résumé/CV: https://drive.google.com/drive/folders/1FQmKdnC80RcvveVVmkTS... Email: aleksandarcvetkovic756@gmail.com AI engineer, 4 years total: three years of full-stack web development, and since late 2025 working full-time on LLM agent systems. Most of my work is on the parts of an agent nobody sees. A large share of it is deciding what tools an agent should have in the first place — researching the gaps, prototyping, and building the ones that turn out to matter — since an agent is mostly only as capable as…

An Alien Mind

> You can always manipulate a human. Yes, but to make "apocalyptic" scenarios happen your AI would need to manipulate at least millions of people. So far it's not yet clear they can successfully manipulate even one, or even that "manipulate" is a coherent concept, since LLMs pretty clearly have no agency or intrinsic goals. So like... I guess if we start seeing AI systems autonomously throwing elections and starting wars I'd be more concerned? It doesn't look likely anytime soon.

Ask HN: How do you manage skills files?

I use a handful of skills I keep in a repo (to track updates) with an install script. Mainly is to replicate them across my various dev computers, and to share them with the team. https://asmat.ca/blog/mad-skills/

Ask HN: How do you manage skills files?

Mostly use homegrown skills. For shared skillset at work, it's a standalone repo with a script for everyone to install the full set. For a personal collection I also use a script to sync a few upstream ones to keep everything in one place. For evals I use the method outlined in the `skill-creator` skill from Anthropic. In the skills, I try to use scripts, along with templates and json worksheets, as much as possible to scaffold and validate the work to make things more consistent and reliable.

Ask HN: Who is hiring? (September 2026)

Founding Engineer with 15 years in IT. I build and ship business projects from scratch, backend, frontend, infrastructure, and I'm strong in AI (LLM integration, RAG, fine-tuning). Happy to take full ownership of the technical side of a startup and move fast without a team behind me. Open to joining as a founding or technical co-founder, or first engineer. Technologies: Python, FastAPI, TypeScript/Next.js, React, LLM/RAG (LangChain, LoRA/QLoRA fine-tuning on LLaMA/Mistral/Gemma), data engineering (DWH, ETL/ELT, Airflow, Spark), PostgreSQL/ClickHouse, AWS, Docker Email: berd@digitalberd.com

Programming is Art

They don’t hand write it because it would be an embarrassment. At the same time, Claude Code doesn’t really need to be any better than it is while Anthropic has great models no one else has.

The function of LLM-based math "proofs"

> Anthropic and OpenAI don’t care about Math and the progress in that field: They just picked a domain with a lot of cultural capital that is so complex and abstract that people don’t really understand what’s going on. I don't think this is true at all. A lot of people who work at places like OpenAI and Anthropic or any research lab really, aren't just CS people, there are a plenty of mathematicians and physicists, etc. and so the problems are interesting to them.

Programming is Art

So why doesn't Anthropic write a good Claude Code in Rust already? Why don't we get a Codex with the polish level of Sublime text editor? These companies have many billion dollar investments and yet their main product is a bloated meh.

An Alien Mind

PS The paper: "Verbalizable Representations Form a Global Workspace in Language Models" https://transformer-circuits.pub/2026/workspace/index.html Promotion here: " https://www.anthropic.com/research/global-workspace " https://www.anthropic.com/research/global-workspace "these findings have changed our understanding of how Claude’s mind works" The key phrase here is " our understanding". Pure self-delusion.

An Alien Mind

All this AGI/ alien nonesense trumpeting from these guys (OpenAI, Anthropic, nVidia) makes me think we are drifting even further from stated goal and money is running dry. The interesting question is who is left standing after the party is over.

An Alien Mind

I think it is simpler, but bannin open weight is a collateral worth scoring nonetheless. AI fails to deliver on the multi trilion usd promises: Gov/venture says: oh, wow, what will we do with all these datacenters, we need money back! OpenAI/ Anthropic: let's monitor the citizenry. They may be plotting nefarious schemes using AI models. Gov: great idea. Whew. Investors: whew! Tax payers: paying to be in prison. So not so much as defense against foreign actors, but failure of the self-tooted AGI goal + gov being gov.

Programming is Art

I think a discussion about programming being an art is incomplete without bringing into scope live coding, where you write code that produces music in front of an audience; Processing, a programming language for artists; and literate programming, where you intertwine prose and code to form a coherent narrative or story. Many people here are talking about programming as a tool you use to solve problems and build systems, but that’s just the subset of programming tasks corporations pay you to do. Programming is for many other things and it can be as expressive or constrained as you like.

Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI

> yeah and antropic s1 is going to shock many people, its going to be an eyeopener I am looking forward to audited financial statements. Like, all the interesting stuff will be buried in notes, but they'll have to actually calculate real revenue, not the nonsense that is ARR. These tools are useful, but I find it hard to see how OpenAI/Anthropic justify their valuations. Apparently Anthropic's may be this week (the S-1) as they've finished picking all their bankers.

OpenAI's GPT-6 Astra on ARC-AGI-3 Scored 99.95% with Provider Adapter Harness

ARC-AGI-3 consists of various games specifically made for the competition, and the goal is to clear the game with as few moves as possible. So there's no answer key per se, but Astra was probably trained on game-like reinforcement-learning environments to the point where most games look very similar to a game it was already trained on. In any case, the competition was designed to highlight an issue with existing agents at the time where they couldn't maintain coherence over long sequences of actions, and it seems that problem has been remedied. I'm looking forward to finding out which weakness ARC-AGI-4 will be targeting.

It's time for Mark Zuckerberg to resign from Meta

Meta could drop a new feature tomorrow and have the tech media in a shambles within 15 minutes. Their product family is used by 3.6 billion people every day . OAI and Anthropic are still measuring per month.

ripwire: ripgrep of AI context (CLI+MCP) giving coding agents a map of any repo

My policy is that if someone doesn't understand the tool they've vibe-coded well enough to make the documentation coherent, they don't actually use it, and so I probably shouldn't use it either.

ripwire: ripgrep of AI context (CLI+MCP) giving coding agents a map of any repo

Opus can't speak coherent English anymore. I dunno what happened, but it's not speaking a language humans can understand. It uses unusual shorthand and slang, which it seems to use pretty consistently, so it's probably possible to learn its particular dialect. But, I'd rather it speak a language I already know.

Ask HN: How do you manage skills files?

Yes, skills as a "portable power" isn't really the use case for me unless it's entirely generic and even then sparingly. I've mostly followed what anthropic suggests, which is putting less into context and more into skills, to keep the "how" out of context until it is needed to reduce context bloat. Skills have some instructions but are primarily informed repo specific instructions and keep their context away from the rest of the repo to keep things sanitised for me. I've found it to be useful in that context.