I thought it was great that he used the opportunity to clarify the way he thinks about ethics and meta ethics, sometimes it is more important to show a space of possible opinions than to reach any kind of agreement
RESEARCH
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Mind as Spark: Building Smarter Machinery and AI Evolution
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I perceive my own mind as a spark surrounded by lots of machinery smarter than itself, but it has built that machinery and used it to build more machinery. AI continues this game beyond my brain
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Quadrants as inevitable discourse regions, not strategy
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I mostly just see the quadrants as inevitable regions of the present discourse, and not as viable strategy recommendations
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Existential Risk of AGI: Detailed Analysis and Discussion
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The debate prompted me to explain some thoughts in more detail. https://
joscha.substack.com/p/the-existent
ial-risk-of-agi
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AI Model Planning Horizons and Error Correction Infrastructure
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Perhaps they need to adjust the planning horizon of their models, so that error correction is being built into shared infrastructure. In the meantime, you may need to wait a millisecond longer before you believe information from an unknown source
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Volume 236 of Causal Learning and Reasoning 2024 Published on PMLR
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Volume 236 Proceedings of Causal Learning and Reasoning 2024 https://
proceedings.mlr.press/v236/ Is now available on PMLR. -
SASInnovate Conference April Las Vegas Registration Now Open
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#SASInnovate is coming in April to ARIA Resort & Casino in Las Vegas, with loads of sessions. Register now: https://
sas.com/gms/redirect.j
sp?detail=PLN22951_174944999
… by @SASsoftware 𝒜𝐼 & 𝒜𝓃𝒶𝓁𝓎𝓉𝒾𝒸𝓈 𝐹𝑜𝓇 𝒜𝓁𝓁
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#DataScience #ML #SASVisionary #ad #DecisionScience
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Meet the Keynote Speakers: -
Focusing on Transformers Over ResNets
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So I’ve heard too, not sure.
(fwiw I’d be inclined to focus on the Transformer and ignore ResNets, too) -
Data-Centric AI: Beyond Black-Box Mega Models in Production
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Snorkel AI Founding Engineer, Vincent Chen, discusses the limitations of black-box mega models in operational environments and emphasizes the need for practical data-centric AI development workflows. This video is from 2021, but still relevant.
