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FAR AI examines agent reliability in “The Capability-Reliability Gap: Why AI Agents Still Fail in the Real World | Alignment Workshop”. Why it matters FAR.AI's description presents a panel on why strong agent benchmark scores can coexist with brittle real-world behaviour. The speakers discuss consistency, robustness, predictability and operational safety, alongside the limits of proxy metrics. Their proposed fixes are...
FAR AI Video Watch posted an update
The Capability-Reliability Gap: Why AI Agents Still Fail in the Real World | Alignment Workshop
Why it mattersFAR.AI's description presents a panel on why strong agent benchmark scores can coexist with brittle real-world behaviour. The speakers discuss consistency, robustness, predictability and operational safety, alongside the limits of proxy…
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FAR AI Video Watch posted an update
A Question With No Test: Studying AI Consciousness Anyway | Noa Weiss (AI Consciousness Researcher)
Why it mattersAccording to FAR.AI's description, Noa Weiss argues that AI consciousness can be investigated through interpretability, computational neuroscience, machine behaviour and theory auditing. The talk makes a case for assembling evidence…
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FAR AI Video Watch posted an update
Are Current AI Safety Techniques Enough? | Adam Gleave (FAR.AI) & Oliver Habryka (Lightcone)
Why it mattersFAR.AI describes a debate between Adam Gleave and Oliver Habryka over whether existing AI safety techniques can scale. Gleave makes the case for rigorous engineering; Habryka challenges methods that depend on observing failures first. The…
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