Lauren Wagner
@typewriters
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Building trustworthy AI @arcprize @abundanceinst @cfr_org • Prev @Meta @GoogleAI @OIIOxford • 🪽@a16z
Joined February 2009
Happy to see that the @WhiteHouse AI Action Plan includes many of our @arcprize recommendations and prioritizes the values we push everyday:. - Open source.- Accelerating AGI research .- Creating standard US-led AI benchmarks .- Cultivating a deeper understanding of, and more
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Today there are tasks that are easy for humans (and kids) to do, but impossible for AI. Once that gap is closed, we’ve reached AGI. (oh and ARC-AGI is not saturated).
usage is the best eval.
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was at a dinner with VCs talking about “existential tech” as an investment category. guys, it’s enough. also, Sartre is my co-GP.
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“You win through innovation, not through regulation” . “I don’t think it does the U.S. any good to [regulate exports of AI technology],” Keller said, noting that export controls on semiconductor manufacturing equipment have meant China has doubled down on developing this
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Love this post on how AI startups win with differentiation and defensibility. I’d add a third pillar — trust. Because without trust, you’ll never get the chance to prove the other two. For early-stage AI cos, building Trust Infrastructure means shaping policy, research, and.
In the past, many vertical software companies were started by domain experts who added technical capacity later. Now it’s the inverse. AI-native startups are led by technical founders who hire for context early. AI delivers differentiation. Context drives defensibility.
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RT @carlbfrey: My guest essay in @nytimes today. I make 5 key points:. 1. There’s little clear evidence of AI eliminating jobs at scale yet….
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RT @CamutoDante: There's massive latent demand for advanced cryptography (ZK, FHE, . ) outside of crypto. But most companies building this….
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thanks to everyone who came to the first Abundance NY x Tech meetup!. we’re working on a vision for AI prosperity - using tech to strengthen government *and* making sure founders have the space to build tools that get us there. and because it's ny - Helmut Lang’s PR team, hedge
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RT @fchollet: Being pro-technology doesn't mean being blind to the negative effects of new technology. It's an exercise in pragmatic optimi….
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The team @arcprize analyzed @makingAGI's paper, claiming a new kind of AI model (HRM) - inspired by neuroscience - delivers unprecedented reasoning power on complex tasks, without pretraining or CoT. By scoring on hidden tasks and running ablations, @arcprize found that.
Analyzing the Hierarchical Reasoning Model by @makingAGI. We verified scores on hidden tasks, ran ablations, and found that performance comes from an unexpected source. ARC-AGI Semi Private Scores:.* ARC-AGI-1: 32%.* ARC-AGI-2: 2%. Our 4 findings:
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And @arcprize GPT-5 testing results:
GPT-5 on ARC-AGI Semi Private Eval. GPT-5.* ARC-AGI-1: 65.7%, $0.51/task.* ARC-AGI-2: 9.9%, $0.73/task. GPT-5 Mini.* ARC-AGI-1: 54.3%, $0.12/task.* ARC-AGI-2: 4.4%, $0.20/task. GPT-5 Nano.* ARC-AGI-1: 16.5%, $0.03/task.* ARC-AGI-2: 2.5%, $0.03/task
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This article doesn't say anything concrete about *how* GPT-5 performs and *why* we're seeing these results — this makes it impossible to understand what's going on with AI and confuses people. @arcprize GPT-5 testing shows: .1. *and here's the real breakthrough* Mini GPT-5 is
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New NYC 2024 Applied AI Progress Report from @TechNYC + 500 execs across 20 industries: .> 87% of executives believe AI benefits outweigh risks, but 61% cite data privacy as a top concern (my favorite topic). > In one year, AI adoption by NYC companies jumped from 55% to 78%,.
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RT @ndea: New report from MIT @techreview featuring @fchollet - "The road to artificial general intelligence".
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