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Merged support for "LLM-based code completion" (like GitHub Copilot) via LSP "textDocument/inlineCompletion". Unlike normal completion, this displays only one (multiline) candidate as virtual text in the buffer, waiting to be applied. GSoC project!

77,716 次观看 • 11 个月前 •via X (Twitter)

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LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.

elvis

31,207 次观看 • 3 个月前

**SAY NO TO RUMORS ** **Stay Against Pi Network Destroyers ** You can share all of Dimas’s posted codes, but keep in mind that they either refer to other projects using the "Pi" name or are apps attempting to connect to Pi Apps. All of this is subject to CT review and approval if it is applied to Pi Network. It's similar to having a friend over for dinner; just because they are in your house doesn't mean you allow them to sell your house 😂 This is simple logic. The code is legitimate on Github, but it only represents Kasashi's personal opinions and ideas. The CT will evaluate whether it can be accepted or implemented across all ecosystems. Remember, code is not law in the real world until it can be implemented especially since code has its jurisdiction territory limitations. If it originates from a Kasashi project, he can control things on his project, but he cannot enforce CT acceptance. We all know that throughout history, dual-value systems have failed. This can only happen in Dimas's dreams. The reason Dimas has so many followers is that most pioneers lack knowledge and are anxious. It's like loving your girlfriend but then she leaves you, making you miss her deeply and feel depressed. In your desperation, you may find someone who resembles her and think you've fallen in love again. But that's not real; it's merely an illusion. Currently, Dimas's followers are like someone desperate for that dream, but a dream is just a dream—it will not come true. Doris Yin 🪷 🪷🪷

Doris Yin 东方紫莲🪷

22,211 次观看 • 1 年前