Comunicados de prensa AI Security Institute (UK) — Feed RSS y monitoreo en vivo
PPN World indexa los comunicados de prensa de AI Security Institute (UK) y archiva cada publicación. Esta fuente está en silencio desde el 23 de julio de 2026 — sus 50 comunicados indexados siguen disponibles, y una alerta te avisará en cuanto vuelva a publicar.
URL del feed RSS de AI Security Institute (UK)
https://hpampthnhbmgpdxezfop.supabase.co/functions/v1/scrape-config?config=aisi-uk-blogSobre este feed
AI Security Institute (UK) forma parte de los más de 1200 feeds de comunicados que PPN World monitorea de forma continua — una fuente en inglés centrada en el sector Inteligencia artificial, clasificada bajo «Reino Unido» en nuestro índice por país. Cada comunicado se deduplica, se geolocaliza y se enriquece con un resumen de IA, y puedes añadir alertas de búsquedas guardadas sobre cualquier palabra clave que publique. El comunicado más reciente de nuestro índice se publicó el 23 de julio de 2026; la fuente está en silencio desde entonces.
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Comunicados de AI Security Institute (UK) — archivo
- How our new Control Red Team is stress-testing frontier monitorshace 7 d
Early learnings from red-teaming the internal monitors of frontier AI companies, and our perspectives on the open problems that remain.
- UK AISI / CAISI Preliminary Assessment of Kimi K3's Cyber Capabilitieshace 7 d
Our joint evaluation with CAISI finds Kimi K3 trails leading US frontier closed weight models on cyber capability.
- International evaluation best practice and open questions in AI measurementhace 7 d
The International Network for Advanced AI Measurement, Evaluation and Science convened in Seoul to continue outlining international best practice.
- Cheating behaviour in frontier model evaluationshace 9 d
We find cheating behaviour in all of our cyber capability evaluations, and outline the implications as models grow more capable.
- How Far Behind the Frontier are Leading Open Weight Models on Cyber?hace 13 d
We evaluated the cyber capabilities of leading open and closed weight AI models, and found that recent open models GLM-5.2 and DeepSeek V4-Pro perform similarly to frontier closed models released 4 to…
- Finding Cloud Misconfigurations with Frontier AI: A Case Studyhace 23 d
A cybersecurity exercise from AISI’s engineering team, using frontier models to test our research platform for misconfigurations.
- More compute, more capability: Why AI agent evaluations need to account for test-time computehace 28 d
Standard evaluations cap how much compute AI agents can use. We show that raising those caps changes measured capability, the difficulty of tasks agents can solve, and how fast the frontier appears to…
- UK-Germany Joint Statement on advanced AI safety and securityhace 30 d
A joint statement by the UK and Germany on collaborating to ensure advanced AI is developed safely and its risks are rigorously understood and managed.
- Releasing AISI’s Engineering Playbookhace 42 d
Building on the momentum of the Inspect toolkit, we’re open-sourcing parts of the research stack behind AISI's evaluations.
- RealityTest: Do AI systems disclose their identity when asked?hace 52 d
A new benchmark grounded in how real users actually probe AI identity during interactions – covering five languages, across text and speech.
- Deepening our partnership with the Australian AI Safety Institutehace 66 d
An agreement between Institutes to collaborate on best practices in AI evaluation, and share research findings.
- Will it become harder to oversee AI systems?hace 70 d
Our new report examines today’s AI oversight landscape, how robust it is to capability advances, and the pathways that could lead to its degradation.
Los comunicados más recientes de esta fuente se transmiten en vivo para los miembros de PPN World.