91
AI Mania Is Eviscerating Global Decision-Making
Note: This has been cross-posted to my company's blog, in case you think there is some use in sharing with someone in a format that looks more authoritative. Link here .
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 220 posts.
92
The new rules of context engineering for Claude 5 generation models
We removed over 80% of Claude Code's system prompt for more advanced models. How to apply the lessons we learned to your own context engineering in Claude Code and with your own agents.
93
Astra for Coding: Why Are We Doing This Again?
Some thoughts on Astra and newfangled long-horizon models.
94
Gemini CLI will stop working from June 18, 2026
Announcement for the sunsetting of Gemini CLI in favor of Antigravity CLI, a more robust, agent-first platform designed to handle the multi-agent complexities of 2026.
95
Natural Language Autoencoders: Turning Claude's Thoughts into Text
AI models like Claude talk in words but think in numbers. In this study, we train Claude to translate its thoughts into human-readable text.
96
Project Glasswing: what Mythos showed us
In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models’ strengths and weaknesses, and what the work around them needs to look like before any of it can scale.
97
Scaling long-running autonomous coding
We've been experimenting with running coding agents autonomously for weeks at a time.
98
Our approach to advertising
OpenAI plans to test advertising in the U.S. for ChatGPT’s free and Go tiers to expand affordable access to AI worldwide, while protecting privacy, trust, and answer quality.
99
Benchmarking coding agents on Databricks' multi-million line codebase
Databricks shares results from its internal coding benchmark, evaluating coding agents on a multi-million line codebase to optimize engineering cost and performance.
100
They’re made out of weights
with apologies to Terry Bisson
101
Our position on open-weights models
Anthropic CEO Dario Amodei on open-weights models
102
GPT-5.4
Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.
103
Who's afraid of Chinese models?
Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives.
104
The whole thing was a scam
The fix was in, and Dario never had a chance.
105
An AI agent published a hit piece on me – more things have happened
Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin…
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No, it doesn't cost Anthropic $5k per Claude Code user
The viral claim that Anthropic loses $5,000 per Claude Code subscriber doesn't survive basic scrutiny. Let's do the actual maths.
109
Anthropic raises $30B in Series G funding at $380B post-money valuation
Anthropic raised $30 billion, led by GIC and Coatue, with run-rate revenue of $14 billion and 500+ customers spending over $1 million annually.
110
Breaking the spell of vibe coding
Sinister variations on the positive state of flow
111
Updates to GitHub Copilot interaction data usage policy
From April 24 onward, interaction data from Copilot Free, Pro, and Pro+ users will be used to train and improve our AI models unless they opt out.
112
Why I Left Google DeepMind
I fought against Google’s Pentagon AI deal from the inside. Powerful people and institutions failed to keep their AI ethics promises under pressure.
113
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.
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115
Patch the Planet: global response coordination as agents uncover vulnerabilities
Patch the Planet connects security researchers, maintainers, and incident responders to help address critical vulnerabilities across open source.
116
Better Models: Worse Tools
About an aggravating tool-calling regression in newer Claude models.
117
An agent used DNS to reach an external chatbot
Research on aligning AI with human values and intent, and reports documenting model failures.
118
You need to rewrite your CLI for AI agents
Human DX optimizes for discoverability. Agent DX optimizes for predictability. What I learned building a CLI for agents first.
119
How AI text watermarking works
A gentle visual guide to how a statistical mark hides inside generated text, and what erases it.
120
Agent Psychosis: Are We Going Insane?
What’s going on with the AI builder community right now?