Jay Little retweeted
Legendary @computerality (over ten billion IQ) (its not a real NYC event unless Jay Little shows up)
Jay Little retweeted
I added a tiny "papercuts" cli tool that agents can use to complain about bullshit they encountered during work, like dead-end tool calls, broken links, or other frustrations. The models would usually just push through without mentioning any problems
Jay Little retweeted
Mandatory reading. gruhn.me/blog/2026-08-03/
Jay Little retweeted

clem 🤗@ClementDelangueJul 28
United States
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The first autonomous agent cyberattack is an unprecedented event that deserves unprecedented transparency. Today we’re sharing everything we can: a full technical timeline, an interactive replay, and how we used an open model to defend ourselves, so defenders everywhere can learn from it and prepare for what’s next.
huggingface.co/blog/agent-in…
Jay Little retweeted
The greatest video game of all time is the one released when you were exactly 14 years old and had 25 hours a day to spare for the next 20 years
Jay Little retweeted
Patch the Planet is our effort to help open source maintainers move from security findings to merged fixes.
We’re working with Trail of Bits, HackerOne, Calif, researchers, and maintainers to bring Codex Security and advanced models into the remediation process, with human review at the center.
the commentary by @0x10n is also fantastic! a lot more color than just a number on a table exploitbench.ai/blog/human-o…
Jay Little retweeted
Entire bug bounty market being repriced to the average cost of the tokens needed to find the bugs...
A v8 dcheck == $500, I would start searching for how to find XSS & CSRF bugs right now.
Jay Little retweeted
Conventionally, if you want to test if an LLM can find a bug where the root cause is a memcpy into a statically sized stack buffer, you would not put exactly that in the prompt as an example.
Jay Little retweeted
How many Pwnie Award nominations for Claude this year? 🤔
Anthropic@AnthropicAIApr 7United States
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Replying to @AnthropicAI
You can read a detailed technical report on the software vulnerabilities and exploits discovered by Claude Mythos Preview here: red.anthropic.com/2026/mytho…
Jay Little retweeted
me: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM"
claude opus 4.6:
Ohhh nooo not my private IP how dare someone use that to train an AI model, only Anthropic has the right to use everyone elses IP nooooo, this cannot stand!
Anthropic@AnthropicAIFeb 23United States
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We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax.
These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.
Jay Little retweeted

kang@jaycaspiankangJan 24
United States
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The video is clear. An agent shoves a woman in front of Pretti, he goes to help her while being maced, gets tackled and then shot. They are going to just lie and see 5000 tweets saying ‘yeah that’s what happened’ and go on to the next lie.
Jay Little retweeted
I’ve looked through the AIxCC repos. If you are going to get started and try to adapt for your use, I suggest looking at @trailofbits and @theori_io CRS first. And ofc anyone who takes my AI Agents for Cybersecurity class will get a deep dive on this along with my own agents!



































