1861
Announcing Tinker
Introducing Tinker: a flexible API for fine-tuning language models.
New
The latest blog posts to take off on Hacker News. 6,328 posts.
1862
The RAG Obituary: Killed by agents, buried by context windows
I’ve been working in AI and search for a decade. First, I built Doctrine, the largest European legal search engine, and now I am building Fintool , an AI-powered financial research platform that helps institutional investors analyze companies, screen stocks, and make investment decisions.
1863
Fossabot: AI code review for Dependabot/Renovate on breaking changes and impacts
Announcing fossabot, a new AI Agent for making strategic dependency updates, backed by a comprehensive accuracy, consistency, and correctness framework.
1864
Building the heap: racking 30 petabytes of hard drives for pretraining
We built the heap, a 30 petabyte data storage cluster in downtown San Francisco, and spent under $500,000.
1865
Unix philosophy and filesystem access makes Claude Code amazing
Build the advantage your competitors can’t buy2025414 points216 commentsAI & Machine Learning details
If you've talked to me lately about AI, you've almost certainly been subject to a long soliloquy about the wonders of Claude Code. What started as a tool I ran in parallel with other tools to aid coding has turned into my full-fledged agentic operating system, supporting all kinds of workflows.
1866
Making sure AI serves people and knowledge stays human
Today we’re sharing a human rights impact assessment on AI/ML to help Wikimedia understand effects on human rights.
1867
Sora 2
This post introduced Sora 2, a video generation model with synchronized dialogue and sound effects. The Sora product is no longer available.
1868
Cerebras systems raises $1.1B Series G
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
1869
Designing agentic loops
Coding agents like Anthropic’s Claude Code and OpenAI’s Codex CLI represent a genuine step change in how useful LLMs can be for producing working code. These agents can now directly …
1870
Comprehension debt: A ticking time bomb of LLM-generated code
Psst. If your boss won’t invest in training you in Specification By Example (BDD, ATDD), I’m running out-of-hours workshops on May 12 and 16 specifically for self-funding learners. £99 + UK VAT. An…
1871
Companies are lying about AI layoffs?
Companies are saying that the economy and AI are causing the large amount of tech layoffs, but Vanessa Wingårdh looked at the H-1B visa data and noticed that the companies are lying. She argues that...
1872
AI tools I wish existed
The models are powerful as is. But where are the tools?
1873
Effective context engineering for AI agents
In this post, we explore strategies for effectively curating and managing their context.
1874
LoRA Without Regret
How LoRA matches full training performance more broadly than expected.
1875
Instant Checkout and the Agentic Commerce Protocol
We’re taking first steps toward agentic commerce in ChatGPT with new ways for people, AI agents, and businesses to shop together.
1876
Claude Sonnet 4.5
Claude Sonnet 4.5 is the best coding model in the world, strongest model for building complex agents, and best model at using computers.
1877
ML on Apple ][+
Success! There is machine learning happening on my Apple ][+.
1878
To AI or not to AI
A two-week experiment building an app with full AI assistance, exploring both the promise and frustrations of LLM-based development workflows.
1879
We bought the whole GPU, so we're damn well going to use the whole GPU
Benjamin Spector* , Jordan Juravsky* , Stuart Sul* , Dylan Lim , Owen Dugan , Simran Arora , Chris Ré
1880
The AI coding trap
If you ever watch someone “coding”, you might see them spending far more time staring into space than typing on their keyboard.
1881
The (economic) AI apocalypse is nigh
Like you, I'm sick to the back teeth of talking about AI. Like you, I keep getting dragged into discussions of AI. Unlike you‡, I spent the summer writing a book about why I'm sick of writing about AI⹋, which Farrar, Straus and Giroux will publish in 2026.
1882
We reverse-engineered Flash Attention 4
Asynchrony, fast approximate exponents, and 10x more efficient softmax.
1883
Code Mode: the better way to use MCP
It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the "tools" directly to the LLM. We tried something different: Convert the MCP tools into a TypeScript API, and then ask an LLM to write code that calls that API. The results are striking.
1884
LLM Observability in the Wild – Why OpenTelemetry Should Be the Standard
LLM Observability breaks in wild today as new libraries like OpenInference don't adhere to OpenTelemetry standards leading to silos and suboptimal performance for users who want to tie LLM observability with rest of their observability stack
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1886
Why We Think
Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) and Chain-of-thought (CoT) (Wei et al. 2022, Nye et al. 2021), have led to significant improvements in model performance, while raising many…
1887
Why today's humanoids won't learn dexterity
In this post I explain why today’s humanoid robots will not learn how to be dexterous despite the hundreds of millions, or perhaps many billions of dollars, being donated by VCs and major tech companies to pay for their training.
1888
Moondream 3 Preview: Frontier-level reasoning at a blazing speed
Think deeper, detect smarter, run just as fast.
1889
Modular Manifolds
A geometric framework for co-designing neural net optimizers with manifold constraints.
1890
Context is the bottleneck for coding agents now
Ship production-quality code at superhuman speed.