Nicholas Carlini on Mythos Code Analysis Capabilities | Mikael Vinding posted on the topic | LinkedIn
Nicholas Carlini on Mythos Code Analysis Capabilities | Mikael Vinding posted on the topic | LinkedIn
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AI Finds Vulns You Can t With Nicholas Carlini | Francesco Italia
AI Finds Vulns You Can t With Nicholas Carlini | Francesco Italia
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Nicholas Carlini finds zero-day vulnerability in Ghost with Claude AI | Indrajeet Bhuyan posted on the topic | LinkedIn
9:39
Nicholas Carlini finds zero-day vulnerability in Ghost with Claude AI | Indrajeet Bhuyan posted on the topic | LinkedIn
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linkedin.com
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026 | Paul Ford
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026 | Paul Ford
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AI Finds Vulns You Can't With Nicholas Carlini
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AI Finds Vulns You Can't With Nicholas Carlini
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Feature Interview: Nicholas Carlini, Anthropic
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Feature Interview: Nicholas Carlini, Anthropic
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AI News: Claude Code Found a Linux Vulnerability Hidden for 23 Years — Explained in 60s
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Анонімність під загрозою
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Nicholas Carlini, world’s best AI security researcher: “ I’ve found more bugs in the last few weeks with Claude Mythos than in the rest of my entire life combined” and this is why, Cloudflare dropped 13%.not because it’s failing, but because SaaS might not survive this.
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x.comCG
5:48
Nicholas Carlini, investigador de seguridad de Anthropic, dice que encontró más vulnerabilidades en el kernel de Linux en unas semanas con Claude que en toda su carrera anterior. Una de esas fallas llevaba 23 años ahí. Miles de ingenieros pasaron por encima sin verla.No es que Carlini sea malo. Es que la herramienta no tiene inercia, no tiene carrera que proteger, y no decidió hace una década que ciertas partes del código ya estaban revisadas.La economía funciona igual. Los bugs están a la vista
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x.comIbrahim Ferreyra
1:26
That “someone at Anthropic” might be the best security researcher we have right now> his name is nicholas carlini and he works there> he’s known for breaking AI systems instead of just building them> he previously worked at Google, testing how reliable machine learning really is> he showed that even the smartest AI can be fooled by tiny, invisible changes> at anthropic, he now focuses on stress testing powerful models before they reach the real world> he looks for subtle failures, edge cases, an
122.1K views1 month ago
x.comCG
OUT OF BAND | The Breaking Point: Inside Mythos Zero-Day Machine with Anthropic s Nicholas Carlini | Kacy Zurkus
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