These weakly abstract models can generalize, but only locally so. They still break down upon simple problem modifications or when encountering novel problems. This has been true of all deep learning generated abstractions, across every domain and across all architectures.
RESEARCH
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5 Tips for Effective Data Visualization Success
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5 Tips for Effective Data Visualization: Looking to make your data visuals stand out? Check out these five tips for effective data visualization. https://
kdnuggets.com/5-tips-for-eff
ective-data-visualization?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=5-tips-for-effective-data-visualization
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Models as spectrum between associations and causal abstractions
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While this is directionally right, keep in mind that this is not a binary distinction. There's a spectrum between, on one extreme, collections of associations (e.g. a lookup table), and on the other extreme a maximally concise, abstract causal model (e.g. Snell's law). With https://
x.com/Grady_Booch/st
/Grady_Booch/status/1835413920624030136
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AI Executives Exaggerate Risk Claims for Venture Capital
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Are AIcorp execs saying that their AI is so powerful that it might destroy the world, in order to raise venture capital? Of course! So ignore them one way or the other, and listen to the researchers who resigned burning their bridges and the scientists who never worked there,
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ChatGPT versus AlphaFold: Understanding AI Technology Differences
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ChatGPT is not doing any of that, but dream on. But if you can’t distinguish between chatGPT and AlphaFold, you should probably stay out of the conversation.
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AI Forecasting Agent Predicts Superintelligence Extinction Risk by 2050
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This is a cool forecasting AI agent (supposedly comparable to human forecasters). I asked it: "What is the estimated probability that by the year 2050, artificial intelligence, including potential superintelligent AI, will become uncontrollable and cause human extinction?"
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GPT-o1 Struggles with Reverse Tic-Tac-Toe Logic Task
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Great new test (until people train on it): reverse-tic-tac-toe. Computer scientist Russ Abbott tried GPT -o1 on this task, where presumably there is not a lot of training data. The results weren’t pretty.
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Historical context of sensible thinking in earlier science fiction literature
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You are missing context on how common this viewpoint was in earlier literature; this was just the way that sensible people thought, back in the day, and what sensible protagonists did in that situation. Eg, you could as easily compare to Asimov's Foundation.
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Commentary on ChatGPT, Claude-style LLMs and o1
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Appreciate the kind words but I also wasn’t wild about ChatGPT at launch so my takes may be a Jim Cramer anti-signal I’m also in awe of o1 as much as anyone, but you can’t quite treat it as a refinement to 4o/Claude-style LLMs. It’s something new, experimental — still raw
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Latent AI Abilities Waiting to Be Discovered
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It’s a fair point I’m sure there’s all sorts of latent abilities waiting to be discovered