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... presentations. Then for AI it depends, but I like to use Groq a lot as it's very fast. And now with their "systems" like Compound, you can use a single model that will decide between a few opensource (fast, cheap) models, and has features baked in like web searches. So cuts down on setup / integration time, complexity and more. For infrastructure I like to use Render as again, it's cheapo and fast to get things running ... ... glad to see the disclaimer on the bottom of your site, have you thought about what other guardrails should be implemented for Leo, so that it is staying helpful and referring users to a professional as needed? On the topic

... then help someone else based on your experience! Comment from Harvansh Chaudhary(@harvanshchaudhary): @cryptosymposium Comment from Tasos V(@cryptosymposium): @steveb  Hmm weird about the X profile. Regarding the other one yesss, you are right Fuck haah! I opensourced my old project, and i have launched a new one. Good catch, you can check again and let me know ;) Regarding the channel, I dont have an answer to you as Im still looking. And yeah totally agree, based on Traction ... ... Comment from Tasos V(@cryptosymposium): @hussein_r  Well im writing in a book what life has taught me so far, and how someone can navigate the modern world. Basically mixes some ancient wisdom, with some 20/21st century psychology topics

... good news in the notoriously under-discussed AI climate impact topic? We didn't witness AI losing its job to AI. We witnessed AI getting more useful while spending less money in the process. Which is a great thing. Humanity might've found a climate-conscious way of building AI models. Now just make one that can talk about Tiananmen Square as well as the Spanish Inquisition. Comment from Zhiqi Shi(@zhiqi_shi): Competition among foundational AI models is always ... ... heavily threatened, simply because they proved that the US business on AI was heavily depended on debt, and on stock market performance. They spent 66Billion $ the big tech companies in Q4 2024 for AI expenditures, and that "little" opensource