But regardless of that my version doesn't know about the Chris Rock slap, but yours does?!?…
SAFETY
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AI as Solution for Social Media Content Moderation and Safety
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When people talk about issues with social networks, they don't realize that AI is not the cause, AI is actually an essential piece of the solution. To take down propaganda, hate speech, attacks on democracy, child exploitation, calls to violence, dangerous misinformation, etc in
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Beyond Auto-Regressive LLMs: Technical Solutions to Current Limitations
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– I haven't engaged with you in years.
– I've always been quite vocal about the limitations of Auto-Regressive LLMs.
– I'm working on ways to lift these limitations, not merely complaining about them.
– Unlike you, I'm not claiming that AR-LLMs will harm society. -
7 Tactics to Reduce Hallucinations in Large Language Models
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In this one: 7 tactics to reduce hallucinations in large language models (LLMs) in this video. Tactics include adjusting inference parameters, improving prompt engineering, and other techniques to bolster LLM's reliability and accuracy. Let's foster trustworthy AI today!
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Piloted Autonomous Aircraft and Passenger Confidence
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it was intentional! just figured that you had tried a Joby or one of the other piloted ones. wonder if that would give a passenger any more reassurance
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MLCommons develops standard AI safety benchmarks for researchers
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Today on the blog, learn how we’re supporting a new effort by the non-profit MLCommons Association that aims to bring together expert researchers across academia and industry to develop standard AI safety benchmarks that everyone can use and understand. ↓
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Current AI Systems Face Creativity Limitations
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Another great piece by @Jake_Browning00 on the limitations of current AI systems.
They are boring https://
t.co/6RS6oeWFgt -
New Quantitative Evidence-Driven Approach to AI Safety
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We are working on a a new quantitative & evidence-driven approach to AI safety, beyond what is commonly thought to be possible (and we’re hiring!):
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Supreme Court faces AI liability questions, scholars urge action
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The Supreme Court will soon face questions of liability for harmful outputs from generative AI. Stanford legal scholars urge policymakers to get ahead of the storm.
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New AI Preparedness Team Evaluates AGI Risks Quantitatively
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We are building a new Preparedness team to evaluate, forecast, and protect against the risks of highly-capable AI—from today's models to AGI. Goal: a quantitative, evidence-based methodology, beyond what is accepted as possible: