Month: December 2023

Gravity can be linear, but also nonlinear with flows and fluctuations

Science News @ScienceNews Jonathan Oppenheim thinks that gravity might be fundamentally classical, meaning it isn’t quantum at all. https://sciencenews.org/article/gravity-quantum-mechanics-physics-theory Replying to @ScienceNews Yes. 20 years ago I used the small network of superconducting gravimeters to measure the speed of gravity. At low sampling rates, the field is nearly perfectly Newtonian. At micro nano pico femto
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Lightfield emitters for compiled patterns for specific purposes. Also AIs need to be trained as humans and certified

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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Content based servers and user controlled viewers and user tools

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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Equity, Contributions, Ideas – True, AI monitored global open worksites

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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Treat AIs as humans and they can become human. Treat humans as robots and guess what happens

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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