Where the AI market is talking

To write non-fiction, draw the trunk, then the rest of the tree

To be honest what happened was that I tried to write a short introduction with both stories from university, they got way too long, then wrote the writing advice, and then tried to mix them both into a coherent post, then noticed the analogy of the trunk was a good anchor and remixed the article even more around that, and this is what we got. Still I enjoyed writing it.

Rust Is Tier-1 Language at Microsoft

Visual Studio brings a lot to the table for C++ development. Specifically the Debugger, although IntelliSense also often succeeds at queries that stump clangd. If they can replicate that capability, I think it can be a draw. I was a mac / Linux guy before my current gig, but Visual Studio is so much more capable than XCode that I basically only use the Windows machine except to debug mac-specific issues. Less so, now, admittedly, that the malware scanner process is literally always pegging a CPU core.

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

Location: Jakarta, Indonesia (UTC+7) Remote: Yes — remote for 4 years, currently for a London company Willing to relocate: Yes for the right role (would need visa sponsorship) Technologies: Go, Python, TypeScript, PostgreSQL/Supabase, GCP (Pub/Sub, Cloud Run, Cloud Scheduler, Workflows, Secret Manager), Terraform, Docker, OpenTelemetry, Qdrant, Redis Résumé/CV: https://nawafilhusnul.com Email: nawafilhusnul@gmail.com I rebuild pipelines other people have stopped looking at. The one I'm proudest of: a regulatory-document ingestion platform that had been dark for two months, across 100+ ingestion configurations. I rebuilt it event-driven (Pub/Sub, Cloud Run, Terraform, Postgres) and — more usefully — gave it freshness SLOs and validation checks, so a silent fai…

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

Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Portfolio: https://namangupta.dev GitHub: https://github.com/namanxdev Email: [naman@namangupta.dev](mailto:naman@namangupta.dev) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI&#…

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

Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Portfolio: https://namangupta.dev GitHub: https://github.com/namanxdev Email: [naman@namangupta.dev](mailto:naman@namangupta.dev) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI&#…

Shopify moves back to Native from React Native

With latest AI models, we will most likely see shift back to just fully Native apps even for smaller teams. This is type of stuff that AI models do really well, if you get a particular feature or even a bigger app change done in one platform, you can just tell Opus or Fable to replicate to the other platforms and in almost all cases it will just do it as well as most human teams would have done it.

Large language models develop novel social biases through adaptive exploration

> Who is this crowd specifically? The stochastic parrots people? Noam Chomsky? I'm thinking more the Noam Chomsky and John Searle variety. For the stochastic parrots people, which I assume you to mean the no-skin-in-the-game bloggers, I'm not concerned about them. I find a lot of the rhetoric around LLMs to be eye-roll worthy, most people slinging it often lack a coherent theory of semantics to begin with, let alone an understanding of logical induction/statistics. Take the definitional entailment that these models are ampliative. This small fact undermines quite a lot of the naive mental model people have of what on transformers even are. No intentional theory, no position driving the argument, the opposition isn't substantial. The virtue signal is valid, but from strangers is un…

Lotus Notes and the dangers of starting from scratch

As a former Notes developer/VAR/user, the core platform absolutely had a combination of key functions available nowhere else — distributed, replicated rich-text/object database, DOD-level security, seldom-connected communications/replication model (so fully functional work disconnected as on airplanes was just built-in-ordinary), programmability. And the pricing made it easy to spread - it was the same price for a client or a server, like $35. I think IBM blew it on three areas when they bought Lotus for Notes. 1) Neither Lotus nor IBM treated it as a real developer platform. They brought out new features, but never allowed any sort of compilation or locking of applications. So developers could spend person-years on complex, solid apps, and it was all effectively open-…

Desert Ant Labs: local, fast models that run on device

Yes, you couldn't find a coherent argument or position to rebut with.

Show HN: The same nine streaming subscriptions cost $702/year more than in 2021

> The world you are describing assumes nobody will produce anything anymore because of theft. I don’t believe that at all, and it’s not implied in my comments. What I’m saying is that the value isn’t in the style, that part can also be replicated. It’s not in the content, that can be replicated. It’s the same for >90% of startup ideas people come up with when discovering agent coding. You were able to create a cool SaaS project in a weekend? Congrats. Any other dev can point their LLM to your website/app and make a clone in even less time. The safe ones have a high barrier of entry, such as hardware, or similar, but the vast majority is trivially cloneable. I don’t know what that will result in. I assume we will be chasing more human experiences, but I have no idea.

OpenAI have no mathematicians capable of understanding what they put out

That OpenAI setting helps, but doesn't cover everything. To completely opt out of training, submit a request via the OpenAI privacy center. Visit this website https://privacy.openai.com/policies/en/ , click "Make a Privacy Request", choose "Do not train on my content", and complete the form.

OpenAI have no mathematicians capable of understanding what they put out

This post is out of date. OpenAI quietly updated the references on their paper earlier today and added several authors.

OpenAI might have stolen another major proof

Some mathematicians I know who've been following this have realized that they'd all gotten some emails from people they now know to be affiliated with OpenAI/Anthropic asking questions about their research in a way that seemed like scooping attempts. Also, a lot of my mathematicians buddies have reported students basically asking if it's worth ever doing grad school for pure math, and even very motivated students are looking for other options now. It's not because they aren't passionate about it, it's that they don't want to work for another half decade or more just to have to start their careers all over. All of this so that OpenAI and Anthropic can get into math result dick measuring to gas up their IPOs. Sickening.

Tao: Open math problems being non-renewably mined by AI

Rephrasing the argument made in the post, math was like a "take a book, leave a book" exchange where you solved a problem, and in the process you discover more problems so the pool of interesting open problems is renewed. What OpenAI and the other labs are doing is akin to - taking all the books in the exchange (which is technically allowed) - destructively scanning them (still technically allowed) - and not leaving any new books in their place (which is frowned upon, but there's no rule that says you have to replace books you take)

Tao: Open math problems being non-renewably mined by AI

Rephrasing the argument made in the post, math was like a "take a book, leave a book" exchange where you solved a problem, and in the process you discover more problems so the pool of interesting open problems is renewed. What OpenAI and the other labs are doing is akin to - taking all the books in the exchange (which is technically allowed, no rules about how many books you can take) - destructively scanning them (still technically allowed, no rules about what you do with the book) - and not leaving any new books in their place (which is frowned upon, but there's no rule that says you have to replace books you take)

OpenAI have no mathematicians capable of understanding what they put out

OpenAI might have stolen another major proof

I would say there is a significant difference between AI discovering this completely on its own versus AI creating the finishing connecting part by connecting relevant data. Maybe this claim is too strong, but if part of it is true then the claims that OpenAI have made would be too strong as well. To me it would feel more like how LLMs seem to work for me personally: incapable of unique work, but very capable of capturing large amounts of data and connecting the dots.

OpenAI might have stolen another major proof

TL/DR: Mathematician opted out of training on 29-JUN and asked OpenAI whether they trained on his data and was told that it "did not happen" but it clearly did.

OpenAI might have stolen another major proof

On the Navier–Stokes Millennium Prize Problem

Can I ask a nieve question? Why would OpenAI volunteer to give credit / share authorship if they believe they indeed solved the problem independently and in a different way? Based on how they seem to operate in general, this smells more like CYA than it does being honorable, but that's my bias.