THE VIDEO SHELF · llm vulnerability research
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
Nicholas Carlini of Anthropic talks at [un]prompted 2026 about how adversaries could misuse current LLMs for attacks. He shows recent models finding zero-day vulnerabilities in heavily tested software, including a SQL injection in Ghost.
Why HN readers recommended it
HN cites it as a concrete demonstration that LLMs have suddenly become strong at finding and exploiting vulnerabilities.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- unprompted
- Topic
- llm vulnerability research
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 9
- HN mentions in dataset
- 16
- Recommendation years in dataset
- 2026–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
I'm sure they do, yet the models really are getting scarily good at this. This talk changed my view on where we're actually at: [VIDEO]
knowaveragejoe on Hacker News · 2026-04
In Project Glasswing: Securing critical software for the AI eraThe talk "Black-Hat LLMs" just came out a few days ago: [VIDEO] Looks like LLMs are getting good at finding and exploiting these.
panstromek on Hacker News · 2026-04
In Claude Wrote a Full FreeBSD Remote Kernel RCE with Root Shell (CVE-2026-4747)This very question was asked to Nicholas Carlini from Anthropic at this talk: [VIDEO] The answer is complex, worth watching the video. But mainly, they don't know where to place the line. Defenders need tools, as good as attackers. Attackers will jailbreak models, defender might …
ogig on Hacker News · 2026-04
In Claude Wrote a Full FreeBSD Remote Kernel RCE with Root Shell (CVE-2026-4747)
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.