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To prevent cognitive bias from undermining AI-assisted OT security, detection systems need built-in friction, feedback loops, and accountability mechanisms. #OTsecurity #humanfactors pic.twitter.com/K6oXIfmu65
— Lucian Fogoros (@fogoros) 16 juin 2026
To prevent cognitive bias from undermining AI-assisted OT security, detection systems need built-in friction, feedback loops, and accountability mechanisms. #OTsecurity #humanfactors
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🚨 ALGUIEN ACABA DE FILTRAR EL SYSTEM PROMPT COMPLETO DE CLAUDE FABLE 5.
— Nico (@nicos_ai) 16 juin 2026
Te explico qué es y cómo revivir Fable 5:
Anthropic lo lanzó el 9 de junio.
En menos de 24 horas el prompt ya estaba público en GitHub.
120.000 caracteres. 1.585 líneas. Más de 27.000 tokens.
Cada… https://t.co/haMz8haQLX pic.twitter.com/RuhkqFj7iU
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SOMEONE JUST LEAKED THE ENTIRE SYSTEM PROMPT OF CLAUDE FABLE 5. I'll explain what it is and how to revive Fable 5: Anthropic launched it on June 9. In less than 24 hours, the prompt was already public on GitHub. 120,000 characters. 1,585 lines. More than 27
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🚨 ALGUIEN ACABA DE FILTRAR EL SYSTEM PROMPT COMPLETO DE CLAUDE FABLE 5.
— Nico (@nicos_ai) 16 juin 2026
Te explico qué es y cómo revivir Fable 5:
Anthropic lo lanzó el 9 de junio.
En menos de 24 horas el prompt ya estaba público en GitHub.
120.000 caracteres. 1.585 líneas. Más de 27.000 tokens.
Cada… https://t.co/haMz8haQLX pic.twitter.com/RuhkqFj7iU
SOMEONE JUST LEAKED THE ENTIRE SYSTEM PROMPT OF CLAUDE FABLE 5. I'll explain what it is and how to resurrect Fable 5: Anthropic launched it on June 9. Within 24 hours, the prompt was already public on GitHub. 120,000 characters. 1,585 lines. More than 27
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Assuming open models continue to lag about 8-12 months behind closed source (at least in coding), the countdown to hardening IT systems against Mythos-class models is now at 4-8 months Having publicly available and relatively safe defensive Mythos-class models today is important
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A decade of endpoint security has meant scanning content for keywords and file types, then alerting after the data already left.
— Chubby♨️ (@kimmonismus) 16 juin 2026
Ent runs local models that read intent instead: who's in the meeting, what's on screen, what shouldn't be visible externally, and covers it before the… https://t.co/LXoqV5Oswd
A decade of endpoint security has meant scanning content for keywords and file types, then alerting after data has already left the system. Ent runs local models that instead read intent: who is in the meeting, what
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Our AI bubble will very quickly learn how little the rest of the world cares about you one-shotting a mind blowing app and how much they care if you tell them that this new model can hack everyone and apparently it's impossible to patch the jailbreaks
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Yeah, it really seems like the jailbreak was 'fix this code'.
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OPENAI 🔥: Codex now supports Chrome DevTools Protocol for browser use. This is a huge superpower that will allow Codex to inspect and modify any website.
— 🚨 AI News | TestingCatalog (@testingcatalog) 16 juin 2026
It is still a very early implementation, but I bet that in several years this will be a default browser capability. If… pic.twitter.com/mvLpRwnUXI
OPENAI: Codex now supports the Chrome DevTools protocol for use in the browser. This is a considerable superpower that will allow Codex to inspect and modify any website. This is still a very early implementation, but
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We won't know until/unless we hear what the bug actually was If it really was "asking Fable to find security bugs in code found security bugs" then it can't be fixed without making the model useless for writing any code at all, which is one of the most important use-cases
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We won't know until/unless we hear what the bug actually was If it really was "asking Fable to find security bugs in code found security bugs" then it can't be fixed without making the model useless for writing any code at all, which is one of the most important use-cases