@henshall_will

AI Governance and Policy @coeff_giving

 London, UK
Joined October 2021
  • Tweets163
  • Following690
  • Followers811
37Media
Leading AI companies have agreed to share their models with the US AI Safety Institute for pre-deployment testing, says Gina Raimondo. This and more in my profile of the Secretary of Commerce. time.com/6985335/gina-raimon…

How Gina Raimondo Became America's Point Woman on AI

Raimondo’s Commerce Department is leading efforts to maintain U.S. supremacy and develop safety standards as AI advances

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A new report from Epoch AI examines how the cost of the computational power required to train AI systems has been increasing over time. According to their estimates, it's been doubling every nine months
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I was pretty surprised by their estimates of how much of the cost of developing a frontier AI model is accounted for by researcher compensation. ~30-50% for the four models they made estimates for!
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time.com/6984292/cost-artifi…

The Billion-Dollar Price Tag of Building AI

The cost of building artificial intelligence is doubling every nine months, a new study shows. Here's why.

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Audrey Tang is stepping back from her ministerial duties to embark upon a world tour to promote the ideas that she helped flourish in Taiwan—ideas captured in Plurality, a book Tang has co-authored with E. Glen Weyl and more than 100 online collaborators time.com/6979012/audrey-tang…

Inside Audrey Tang’s Plan to Align Technology with Democracy

TAs Taiwan's digital minister, Tang championed digital democracy. Now she's taking her ideas global.

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Excellent reporting from @KelseyTuoc
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vox.com/future-perfect/2024/…

ChatGPT can talk, but OpenAI employees sure can’t

Why is OpenAI’s superalignment team imploding?

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Microsoft and Amazon are starting to compete with their investees, OpenAI and Anthropic. Can the smaller companies stay ahead of their compute-rich big tech backers? “For the next few years, I don't have concerns about this,” says @jackclarkSF time.com/6977424/ai-competit…

Big Tech Companies Invested in AI Labs. Now They’re Rivals

Microsoft and Amazon, once merely investors in OpenAI and Anthropic, are now competing by making their own models.

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(Out to @billyperrigo for the reporting assist)
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I spoke with Michelle Donelan, Secretary of State for Science, Innovation and Technology, about the AI safety testing agreement she just signed on a flying visit to DC. time.com/6962503/ai-artifici…

U.S., U.K. Will Partner to Safety Test AI

The two AI safety testing bodies will looexchange employees and share information as AI continues to rapidly evolve.

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Exclusive: New research provides a way to measure whether an AI model contains potentially hazardous knowledge, along with a technique for removing the knowledge from an AI system while leaving the rest of the model relatively intact. time.com/6878893/ai-artifici…

Researchers Unveil Method to Purge AI of Dangerous Knowledge

Researchers have developed new techniques to prevent AI from being used to carry out cyberattacks and deploy bioweapons.

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On Tuesday, the House launched a bipartisan Task Force on Artificial Intelligence. I spoke with its members to understand their priorities. time.com/6727264/house-artif…

How a New Bipartisan Task Force Is Thinking About AI

TIME spoke to members of the House's new Task Force about their priorities—and finding common ground on AI.

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“I can't help but read it as a 2000 year old blog post, arguing with another poster,” says @natfriedman . “It's ancient Substack, and people are beefing with each other, and I think that's just amazing.” My piece on the Vesuvius Challenge winners: time.com/6691588/ancient-rom…
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I reported on the NAIRR pilot and the problem it seeks to address. The gap between industry and academia on some measures is pretty stark.
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Read the piece here: time.com/6589134/nairr-ai-re…

The U.S. Just Made a Crucial Step Toward Democratizing AI Access

The National Artificial Intelligence Research Resource pilot could help close the gap between industry and academia.

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Exuberant predictions about the imminent arrival of AGI are as old as the field of AI itself. So when Shane Legg, Google DeepMind’s chief AGI scientist, estimates a 50% chance that AGI will be developed by 2028, should we take him seriously? It depends who you ask (1/6)
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Many questions feed into these wildly varying predictions: How impressive are current AI systems? Will simply scaling them up produce AGI? And a lot could hinge on these forecasts, given the risks that many experts worry AI might pose (5/6)
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Link to the full piece 👇 (6/6) time.com/6556168/when-ai-out…

When Might AI Outsmart Us? It Depends Who You Ask

Predicting when artificial intelligence could outsmart humans is a complicated task, and experts disagree on the answer.

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