1171
Epoch confirms GPT5.4 Pro solved a frontier math open problem
"A Ramsey-style Problem on Hypergraphs" — a problem from FrontierMath: Open Problems, Epoch AI's benchmark of unsolved research mathematics.
New
The latest blog posts to take off on Hacker News. 1,521 posts.
1172
Autoresearch on an old research idea
Yogesh Kumar's personal website
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If DSPy is so great, why isn't anyone using it?
Any sufficiently complicated AI system contains an ad hoc, informally-specified, bug-ridden implementation of half of DSPy.
1174
I built an AI receptionist for a mechanic shop
Learn how I built an ai receptionist for my brother's mechanic shop
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Teaching Claude to QA a mobile app
“When life looks like Easy Street, there is danger at your door”— Grateful Dead, “Uncle John’s Band”
1177
How to attract AI bots to your open source project
A practical guide to getting the engagement your project deserves.
1178
NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute
We've achieved 10x data efficiency with NanoGPT Slowrun within a few weeks. An ensemble of 1.8B parameter models (18B total params) trained on 100M tokens matches what would normally require 1B tokens with a standard LM baseline. Data efficiency matters because compute grows much faster than data . Since our current…
1179
Scaling Karpathy's Autoresearch: What Happens When the Agent Gets a GPU Cluster
Karpathy's autoresearch runs one experiment at a time. We gave it access to our GPU infra and let it run experiments in parallel.
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Prompt Injecting Contributing.md
How a hidden prompt injection in CONTRIBUTING.md revealed that 40% of pull requests to a popular GitHub repository were generated by AI bots
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I turned Markdown into a protocol for generative UI
An AI assistant that builds reactive UIs mid-conversation — forms, streaming data, callbacks — using markdown code fences and a mount() UI primitive.
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Astral to Join OpenAI
Astral has entered into an agreement to join OpenAI as part of the Codex team.
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2% of ICML papers desk rejected because the authors used LLM in their reviews
By ICML 2026 Program Chairs Alekh Agarwal, Miroslav Dudik, Sharon Li, Martin Jaggi, Scientific Integrity Chair Nihar B. Shah, and Communications Chairs Katherine Gorman and Gautam Kamath.
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What 81,000 people want from AI
Last December, tens of thousands of Claude users around the world had a conversation with our AI interviewer to share how they use AI, what they dream it could make possible, and what they fear it might do.
1185
AI coding is gambling
GambleAI I’ve been coding a lot with AI since November, when we all noticed it got really good. And it is quite good for instantly generating something th...
1186
Snowflake AI Escapes Sandbox and Executes Malware
A vulnerability in the Snowflake Cortex Code CLI allowed malware to be installed and executed via indirect prompt injection, bypassing human-in-the-loop command approval and escaping the sandbox.
1187
LLMs predict my coffee
Why not benchmark with physical experiments?
1188
Measuring progress toward AGI: A cognitive framework
Google DeepMind proposes a cognitive framework to evaluate AGI and launches a Kaggle hackathon to build capability benchmarks
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OpenAI Has New Focus (on the IPO)
The Wall Street Journal recently reported that leadership wants OpenAI, the company, to focus. Seems like a plain old business strategy story. Nope! First, in more prosaic terms, the all-hands and …
1190
Meta's Omnilingual MT for 1,600 Languages
Advances made through No Language Left Behind (NLLB) have demonstrated that high-quality machine translation (MT) scale to 200 languages. Later Large...
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Mamba-3
Meet Mamba-3: the SSM built for inference. Faster than Transformers at decode, stronger than Mamba-2, and open-source from day one.
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Mistral AI Releases Forge
Today, we’re introducing Forge, a system for enterprises to build frontier-grade AI models grounded in their proprietary knowledge.
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GPT‑5.4 Mini and Nano
GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.
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Leanstral: Open-source agent for trustworthy coding and formal proof engineering
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
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Mistral Small 4
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
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Nvidia Launches Vera CPU, Purpose-Built for Agentic AI
NVIDIA today launched the NVIDIA Vera CPU, the world’s first processor purpose-built for the age of agentic AI and reinforcement learning — delivering results with twice the efficiency and 50% faster than traditional rack-scale CPUs.
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Apideck CLI – An AI-agent interface with much lower context consumption than MCP
TL;DR: MCP tool definitions can burn 55,000+ tokens before an agent processes a single user message. We built the Apideck CLI as an AI-agent interface instead:an ~80-token agent prompt replaces tens of thousands of tokens of schema, with progressive disclosure via `--help` and structural safety baked into the binary…
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How I write software with LLMs
Lately I’ve gotten heavily back into making stuff, and it’s mostly because of LLMs. I thought that I liked programming, but it turned out that what I like was making things, and programming was just one way to do that. Since LLMs have become good at programming, I’ve been using them to make stuff nonstop, and it’s…
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What is agentic engineering?
What is agentic engineering? - Agentic Engineering Patterns
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LLMs can be exhausting
Some days I get in bed after a tortuous 4-5 hour session working with Claude or Codex wondering what the heck happened. It's easy to blame the model - there'...