Join us at the @EUeic Summit event on March 18-19! Our CEO, @FabAroundEU
, will speak at the session “Fast-tracking AI innovation: Access to High-performance computing and use of data.” Discover the power of our Metis AI Platform at our stand #10. https://
eic.ec.europa.eu/eic-summit-202
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RESEARCH
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EU EIC Summit: AI Innovation and High-Performance Computing Access
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Gell-Mann Amnesia Effect: Media Bias and Expertise Blind Spots
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The "Gell-Mann Amnesia effect”. It describes the phenomenon where individuals often believe that news articles are inaccurate or biased in areas they're knowledgeable about but then accept information from the same sources in areas where they lack expertise.
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Century-old tech firms: ZEISS optics leadership to modern semiconductors
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Most of the oldest companies are breweries, banks, or quasi-governmental, but I would like to see more about firms that have been technological leaders for over a century. Like ZEISS was a leader in optics since 1843, and makes the UEV Bragg reflectors for ASML machines today.
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AI ideation capabilities: recombinant novelty vs true innovation
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I am missing context, it looks like the 2nd phase of the ideation GPT, which is the most grounded, since it involves web search. There are six steps, so you may want to wait until the end. In any case, AI is good at recombinant novelty and idea fluency, not all forms of novelty.
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Planning with Learned Models Mastering Atari Go Chess Shogi
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model Schrittwieser et al. : https://
arxiv.org/abs/1911.08265 #ArtificialIntelligence #DeepLearning #MachineLearning -
7B Language Models Show Strong Mathematical Capabilities
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Common 7B Language Models Already Possess Strong Math Capabilities Li et al.: https://
arxiv.org/abs/2403.04706 #ArtificialIntelligence #DeepLearning #MachineLearning -
Superintelligence Indifference to Humanity and Existential Risk
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Because it doesn't care one way or the other, humanity is very easy for a superintelligence to genocide including as a side effect, and (1) the process of launching seed ships is liable to involve interim steps like building a Dyson sphere locally and (2) even after you've
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Fine-tuning Transformers: Leveraging OSS Checkpoints for Model Adaptation
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@drummatick the power of these transformer models often come from the data it’s trained on, I’d try fine tuning from an OSS checkpoint. The power of the transformer architecture is that (a) it’s easy to adapt to different problems/modalities, (b) lends itself well to broad pre
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Aligning ASI to Human Moral Reasoning as Internal Preference
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You need to have aligned an ASI to the framework of human moral reasoning being Its own internal preference, before It cares more about what is moral than you care about what is clippy (leads to the most paperclips, or rhombuses, or giant clocks).
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Photoreceptor Density Does Not Equal Information Intake
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If the photoreceptor density of your retinas were 1,000x higher firing 10x faster, your wouldn't be "trained" on 10,000x more "data" (and not just because your brain isn't a curve fitted on data via gradient descent). It would change almost nothing to your information intake.