61
Zombie stats: Where the numbers AI quotes come from
We asked five AI assistants 200 questions that call for a number and followed 1,285 of the statistics they cited back to the source.
New
The latest blog posts to take off on Hacker News. 1,518 posts.
62
LLM Voice
The uncanny valley of LLMs' prose
63
We're releasing the weights of Mistral Large 4
The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.
64
Why are good developers so wary of agentic development?
Good developers’ caution about agentic development comes from knowing that built isn’t the same as working in production.
65
Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5
Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index
66
67
Qwenputer: A functioning, deterministic RISC-V CPU inside Qwen3.5
I compiled a RISC-V CPU into Qwen 3.5 4B's weights, using its Gated DeltaNet layers as RAM. It runs C and MicroPython inside the forward passes, and Qwen uses it for exact arithmetic.
68
Gemini 4 Carbon
Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.
69
Dayjob: Tax – evaluating AI agents on 50 professional tax assignments
DAYJOB: Tax evaluates AI agents across 50 realistic tax environments, testing their ability to navigate messy records, exercise professional judgment, and deliver reliable tax work.
70
The Agent SDK
The Agent SDK is the framework we use to build our own managed agents like Bugbot, Security Reviewer, and Rollouts. Define agents in code and deploy them with one command.
71
72
Early progress on accelerating drug development with Claude
Over the past several months, we’ve partnered with six organizations to accelerate curing disease. We’ve also started drug discovery efforts of our own, including programs for rare childhood forms of muscular dystrophy. In this post, we provide an update on our progress.
73
Introducing LFM3: Every Modality for Specialized Intelligence
LFM3 is Liquid AI’s new open-weight model family: 2B-class text, vision, audio, omni, and decision models built to fine-tune and run fast on any device.
74
Genie 4
Genie 4 introduces real-time interactive world simulation with native audio, advanced physics, natural human motion, and steering powered by Gemini models.
75
Here be monsters: What do you still need to know when agents do the work?
AI agents write code faster than anyone can read it. What engineers still need: fundamentals, breadth, and the willingness to dive in when it breaks.
76
AI promised less work. I've never worked more
Agents made implementation cheap, so I started doing far more of it in parallel. My GitHub history since 2019 shows what that did: as VP of Technology I am back at my full-stack engineer pace, with bursts, burnout and a low season that is no longer low.
77
The Mythical Man-Month in the Age of AI
An update to Brooks's Law in the age of AI.
78
Cross-request KV cache exposure in the GLM-5.3 Workers AI model (155 responses)
A configuration mismatch in GLM 5.3 on Workers AI triggered an SGLang bug that exposed KV cache pages across requests. Here is how we addressed the issue.
79
Three new discoveries in mathematics, computer science, and physics
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
80
GPT-6.1 Terra
Delivering fast and capable computer use at scale
81
Concerning behavior from a popular open-weight AI model
Discover how untrusted open-weight AI models can potentially leak data, even when self-hosted. Learn the security risks and how to protect your enterprise.
82
Sebastian Raschka's from-scratch video course on building reasoning models
Over 11 hours of coding videos on evaluation, inference-time scaling, reinforcement learning, and distillation, with Python and PyTorch.
83
Fixing Tool-Call Accuracy in vLLM
Tool call accuracy is an important part of serving open-weight AI models. When your tool calls aren’t accurate, the model builds up on nonsensical context. We’ve been carrying our own fork of vLLM to hit 100% in tool call schema accuracy with Kimi and DeepSeek. Fortunately, vLLM 0.31 added support for constrained…
84
Brown student maps the hidden global labor powering AI
Cunyan Ma’s interactive tool exposes the power structure that extracts low-wage labor from data workers in the Global South to make everyday AI algorithms function.
85
OpenAI and Anthropic cut their LLM prices by up to 80% within a few months. Why?
What is “the true cost of a token”?
86
The State of Context Engineering
As models improve, they bring surprising challenges for those building apps and harnesses. How context engineering has changed this year, and where it’s headed.
87
A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis
I am a dermatologist. I tested the ability of GPT-6 Astra and Claude Fable 5.1 to diagnosis skin cancer and found that they were less accurate than I expected. I compared to a 10-year old CNN and to my surprise found that this was superior.
88
Cerebras Deploys Trillion-Parameter AI Models
Learn how Cerebras maps trillion-parameter frontier models across WSE-3T wafers to deliver scalable inference at 1,000–2,000+ tokens per second.
89
America has lost 200k of jobs in media, film and the arts. How much is AI?
America is Losing Hundreds of Thousands of Jobs in Media, Film & the Arts. How Much is AI to Blame?
90
No signs of AI payoff outside the tech sector
Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech. Subscribe for daily updates.