Andrew Ng is claiming that the idea that AI could make us extinct is a big-tech conspiracy. A datapoint that does not fit this conspiracy theory is that I left Google so that I could speak freely about the existential threat.
REGULATION
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Assessing AI Executive Order: Understanding Stakeholder Bias
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When assessing the Executive Order on AI, it’s imperative you consider the bias of the people providing analysis. For this week’s podcast I broke it down into four groups (note, I did this in about 5 minutes before we recorded, so I may evolve and amend them moving forward): >
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Rep Eshoo advocates safe AI development beyond big tech entities
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"We need to develop AI that is safe, trustworthy, and responsible," said @RepAnnaEshoo at this morning’s discussion on public sector AI. We must develop AI beyond a small group of entities to be able to innovate, to benefit everyone, she said. Webinar https://
stanford.zoom.us/webinar/regist
er/WN_Bqn2Lbg3TGGlMxXRurgEng#/registration
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Securing Maritime Equipment: Piracy Threats in International Waters
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uh, for starters how would you guard the equipment from pirates? seems like a painted target in international waters.
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Congressional AI Caucus Discusses Executive Order on AI Research
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Congresswoman, chair of the congressional AI Caucus @RepAnnaEshoo is now here @StanfordHAI discussing w/ us the implications of yesterday’s Executive Order on AI from @POTUS
, especially the National AI Research Resource. Panelists include @Rbaltman @kingjen & John Etchemendy 1/2 -
President’s Executive Order on AI Key Highlights
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A few interesting points highlighted by @kchonyc in the President's Executive Order on AI.
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Biden’s AI Executive Order Scope and Expert Perspectives
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While writing about @JoeBiden
's new AI executive order, I spoke w/ former White House tech experts to hear what they thought. Overall, they said the EO's scope covers lot of ground. Here's my @digiday story about it and what some experts hope to see next: -
Overhyped AI risks threaten open-source innovation through stifling regulation
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My greatest fear for the future of AI is if overhyped risks (such as human extinction) lets tech lobbyists get enacted stifling regulations that suppress open-source and crush innovation. Read more in our Halloween special issue of the Batch:
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H100 GPU Reporting Requirements: AI Models Comparison
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I asked GPT4, Claude and Llama2 to tell me how many H100 GPUs I need before I need to start reporting to the US Government.
They all got it wrong * GPT said 25m GPUs
* Claude said 250k GPUs
* Llama2 gave the gpu-poor answer and said 257 GPUs. The correct answer is 25k GPUs. -
Quantifying actual harms versus AI benefits tradeoffs
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Do you have examples of *actual* harm that would justify giving up on the benefits?