惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Hugging Face - Blog
Hugging Face - Blog
Vercel News
Vercel News
C
Check Point Blog
G
Google Developers Blog
博客园 - 司徒正美
量子位
Engineering at Meta
Engineering at Meta
S
SegmentFault 最新的问题
Google DeepMind News
Google DeepMind News
F
Fortinet All Blogs
A
About on SuperTechFans
美团技术团队
D
DataBreaches.Net
Stack Overflow Blog
Stack Overflow Blog
Jina AI
Jina AI
Y
Y Combinator Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Apple Machine Learning Research
Apple Machine Learning Research
J
Java Code Geeks
MongoDB | Blog
MongoDB | Blog
人人都是产品经理
人人都是产品经理
H
Hackread – Cybersecurity News, Data Breaches, AI and More
The Cloudflare Blog
U
Unit 42

Risky Business Features

How to launder illicit Bitcoin Hunting software supply chain malware Who gets to hack the hackers? How Brian Krebs doxxed TeamPCP James Kettle on inventing new attack techniques with LLMs How private LLM inference actually works Benchmarks, borders and the true cost of AI regulation Fortibleed: The bleeding edge of AI cybercrime What to do 'til the bugpocalypse gets here Mythos on your desk? Using local LLMs for code reviews Pitching security startups to VCs in the AI era How using open weight models can blow up in your face The state of the art in AI model jailbreaks Why NPM v12 won’t stop supply chain attacks Everything is getting much worse, much faster Solo podcast: A deep dive on TeamPCP How to survive supply chain attacks How the CopyFail disclosure went sideways NCSC’s Ollie Whitehouse on surviving the "bugpocalypse" What a great agentic AI deployment plan looks like Mythos smythos! How to find 0day with lesser models Solving the AI agent identity problem A deep dive on AI model distillation attacks A builder's perspective on Mythos and frontier models Mythos and 0day: Fixing exploits is not safety Mythos and 0day: A hacker’s perspective What happens after North Korea infiltrates? Why CISOs need to be more flexible in the AI era A Risky Biz Experiment: Hunting for iOS 0day with AI Interview: Former NSA and CIA cyber leaders on offensive AI
Feature Interview: Nicholas Carlini, Anthropic
James Wilson · 2026-04-24 · via Risky Business Features

Risky Business Features Podcast

April 24, 2026

Presented by

James Wilson

James Wilson

Technology Editor

Patrick Gray

Patrick Gray

CEO and Publisher

In this episode, Anthropic’s Nicholas Carlini joins Patrick Gray and James Wilson to talk about advancements in AI-driven vulnerability research and exploit development.

Nicholas’ talk at the recent [un]prompted conference demonstrated how Anthropic’s Opus 4.6 could find and exploit vulnerabilities in popular open source projects. In the short few weeks since then, Anthropic announced a new model that’s already identifying hundreds of bug fixes across critical software. Nicholas talks us through the work he does at Anthropic, what’s possible and the limitations with current frontier models, and where this goes from here.

This episode is also available on YouTube

Your browser does not support the audio element.

Feature Interview: Nicholas Carlini, Anthropic

0:00 / 42:44

Logo