10 Must-use Slash Commands in Claude Code
...explained with exact prompts and usage!
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Trusted access for the next era of cyber defense
Trusted access for the next era of cyber defense
Trusted access for the next era of cyber defense OpenAI's answer to Claude Mythos appears to be a new model called GPT-5.4-Cyber: In preparation for increasingly more capable models from OpenAI over the next few months, we are fine-tuning our models specifically to enable defensive cybersecurity use cases, starting today with a variant of GPT‑5.4 trained to be cyber-permissive: GPT‑5.4‑Cyber. They're also extending a program they launched in February (which I had missed) called Trusted Access…
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Cybersecurity Looks Like Proof of Work Now
Cybersecurity Looks Like Proof of Work Now
Cybersecurity Looks Like Proof of Work Now The UK's AI Safety Institute recently published Our evaluation of Claude Mythos Preview’s cyber capabilities, their own independent analysis of Claude Mythos which backs up Anthropic's claims that it is exceptionally effective at identifying security vulnerabilities. Drew Breunig notes that AISI's report shows that the more tokens (and hence money) they spent the better the result they got, which leads to a strong economic incentive to spend as much as…
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Claude Mythos #3: Capabilities and Additions
To round out coverage of Mythos, today covers capabilities other than cyber, and anything else additional not covered by the first two posts, including new reactions and details.
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Grief and the Nonprofessional Programmer
Grief and the Nonprofessional Programmer
I can’t claim to be a professional software developer—not by a long shot. I occasionally write some Python code to analyze spreadsheets, and I occasionally hack something together on my own, usually related to prime numbers or numerical analysis. But I have to admit that I identify with both of the groups of programmers that […]
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Summary: AI Governance to Avoid Extinction
With AI capabilities rapidly increasing, humans appear close to developing AI systems that are better than human experts across all domains. This raises a series of questions about how the world will—and should—respond. In the research paper AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions, originally published in May 2025, MIRI’s […] The post Summary: AI Governance to Avoid Extinction appeared first on Machine Intelligence Research Institute.
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Build Agents That Never Forget
A first-principles walk through agent memory (open-source).
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Steve Yegge
Steve Yegge
Steve Yegge: I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year. The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too. [...] There has…
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Political Violence Is Never Acceptable
Nor is the threat or implication of violence.
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Exploring the new `servo` crate
Exploring the new `servo` crate
Research: Exploring the new `servo` crate In Servo is now available on crates.io the Servo team announced the initial release of the servo crate, which packages their browser engine as an embeddable library. I set Claude Code for web the task of figuring out what it can do, building a CLI tool for taking screenshots using it and working out if it could be compiled to WebAssembly. The servo-shot Rust tool it built works pretty well: git clone https://github.com/simonw/research cd…
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Comprehension Debt: The Hidden Cost of AI-Generated Code
The following article originally appeared on Addy Osmani’s blog site and is being reposted here with the author’s permission. Comprehension debt is the hidden cost to human intelligence and memory resulting from excessive reliance on AI and automation. For engineers, it applies most to agentic engineering. There’s a cost that doesn’t show up in your […]
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Import AI 453: Breaking AI agents; MirrorCode; and ten views on gradual disempowerment
Was fire equivalent to a singularity for people at the time?
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Quoting Bryan Cantrill
Quoting Bryan Cantrill
The problem is that LLMs inherently lack the virtue of laziness. Work costs nothing to an LLM. LLMs do not feel a need to optimize for their own (or anyone's) future time, and will happily dump more and more onto a layercake of garbage. Left unchecked, LLMs will make systems larger, not better — appealing to perverse vanity metrics, perhaps, but at the cost of everything that matters. As such, LLMs highlight how essential our human laziness is: our finite time forces us to develop crisp…
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Gemma 4 audio with MLX
Gemma 4 audio with MLX
Thanks to a tip from Rahim Nathwani, here's a uv run recipe for transcribing an audio file on macOS using the 10.28 GB Gemma 4 E2B model with MLX and mlx-vlm: uv run --python 3.13 --with mlx_vlm --with torchvision --with gradio \ mlx_vlm.generate \ --model google/gemma-4-e2b-it \ --audio file.wav \ --prompt "Transcribe this audio" \ --max-tokens 500 \ --temperature 1.0 Your browser does not support the audio element. I tried it on this 14 second .wav file and it output the following: This front…
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