What change, given that she’s literally in the White House right now?
ETHICS
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Stanford Med Conference Speakers Downplay Pandemic Policy Failures
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@StanfordMed is hosting a pandemic policy conference in October. Many of the featured speakers would like everyone to forget that they advocated for rapidly infecting all young people and incorrectly predicted that this would end the spread in months.
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Llama 3.1 base — AI categories and topics
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Also see my previous thread demonstrating Llama 3.1 base:
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Evaluating Jailbreak Methods: StrongREJECT Benchmark Case Study
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New blog post: How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark
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AI experts oppose SB 1047 bill call Newsom veto
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Unfortunately, SB 1047 has passed the vote despite many AI experts like @drfeifei @ylecun and myself writing detailed articles on how fundamentally flawed it is. @GavinNewsom Please read our letter signed by @Caltech personnel, alumni, and others and veto this.
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Social Apps Face Content Responsibility Test Online
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This could be a real test of social apps’ long-held defence that the content that gets shared on their platforms isn’t their responsibility but users’.
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AI layoffs strategy boosts stock performance
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If you need to lay off staff, make sure to herald it as the benefits of AI. Very good for your stock.
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AI in US Elections: Trump’s Strategy Targeting Taylor Swift Fans
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La ia, como era de esperar, ha hecho su aparición en la campaña electoral de las elecciones presidenciales de los Estados Unidos.
— Juan Merodio (@juanmerodio) 28 août 2024
Qué te parece la estrategi de Donald Trump para poner a su favor a las seguidoras de Taylor Swift? pic.twitter.com/WqUKqt3lSjLa ia, como era de esperar, ha hecho su aparición en la campaña electoral de las elecciones presidenciales de los Estados Unidos. Qué te parece la estrategi de Donald Trump para poner a su favor a las seguidoras de Taylor Swift?
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COAR: Scalable Predictive Component Attribution Method
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In summary, COAR is a scalable method for estimating predictive component attributions that outperform prior approaches across models & tasks. COAR's attributions act as a counterfactual estimator, helping w/targeted model edits — from fixing errors to boosting subpopulation