Dear Google Feedback and Suggestions Groups: There are so many books, can you give me a random one, within a topic area, or from a search? If I get so many, I can only read them one by one. I am not aiming for a particular book, but “any one or some randoms ones” connected
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Stephen Wolfram @stephen_wolfram Preparing for 2024 … analyzing video I took at the 2017 eclipse. Here’s the light curve I got. The dip is totality. Anyone know what the glitches up and down are? iPad exposure control? (They’re too slow for shadow bands) https://pic.twitter.com/E9RhIEgMv5 Replying to @stephen_wolfram Stephen, have your favorite AI search ( “solar
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Ben, I can probably interest some groups in creating cost effective light field projectors. I got three projectors today but have not had time to use them and research them. I bought Lytro cameras back in the day and follow those technologies and purposes. If AIs “go to college” that will expose the weaknesses in
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Juxtapposed: I Redesigned the ENTIRE Steam UI from Scratch at https://www.youtube.com/watch?v=cDY2p1CTkPo Nice work, but just one site and one topic. If all games on the Internet were handled by one game viewer (with all the things you listed and more), then the game suppliers and sales outlets would serve content for the “game viewer” and
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Our current human population: about 8 billion people. What sizes of shadow do they cast while floating any orientation, if lighted by the sun directly overhead? by mass. A 3D anthropometric database? A full body MRI database? To begin to estimate acoustic levitation pressures.🔥
Pradeep, There are many things I do not like about this video. (1) It is “talking heads” so every viewer has to convert voice to image in their heads. If V2I is hard for AIs, it is also hard for humans. Dinkar Srivastava has some in his head, but he gives no open model for
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Matt Krisiloff @mattkrisiloff Aug 9, 2022 Scientists at startups should care more about equity. Most scientists don’t fully see the value of owning shares. That sucks for them, and it sucks for the startups they’re at too. I wrote a post on this, and I hope we can change this. https://mattkrisiloff.com/scientists-should-care-more-about-equity Replying to @mattkrisiloff and
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Peter Boshard Olson @peterbolson Clear explanation from @LangChainAI’s @hwchase17: There are 4 main ways to give an AI app background info: 1. Instruction prompting 2. Few-shot examples 3. RAG 4. Fine-tuning It hadn’t occurred to me that these are all ways of accomplishing the same broad goal. 🧵(1/2) https://pic.twitter.com/9QBuH3xQOR Replying to @peterbolson @LangChainAI and @hwchase17
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Yi Ma @YiMaTweets Our white-box transformer paper is over 100 pages. Just believe some truly important idea is better conveyed through wholesale than retail. 8-page conference papers are prone to encourage incremental progresses or fragmented ideas. One needs to see the big picture once a while. Replying to @YiMaTweets Just process your 100 pages and
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kamalikac @kamalikac Do representation learning models memorize their training data? To understand this, we propose a new method called Deja vu to measure memorization in these models. #NeuRIPS2023 Replying to @kamalikac Full access to lossless complete source data is critical to accepted and trustworthy AIs. I criticize all AI groups now that refuse to cite
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