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Pi-durable is so much fun. The primitives and architecture are so robust and simple to use, extend, and combine. Built a self-extensible agent harness that can hotswap & hotreload even the server runtime while continuing to build itself. The core of this is about ~3,000 LOC and about 35k...

20,216 просмотров • 1 месяц назад •via X (Twitter)

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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 6 месяцев назад

Many of us in Silicon Valley, especially those active on platforms like X/Twitter, might think that everyone knows about ChatGPT and has used it at least once. But, this is not true. In my travels and online discussions, I've seen that most people still don't know about things like ChatGPT. There's a real need to close this gap in knowledge. My own kids, who are 6 and 9 years old, are using AI with me all the time. They are having a lot of fun, and learning a lot from it. At the same time, many people around the world don't even know it exists or what it can do. This is not just surprising; it shows we need to do something. To help with this, my colleague Kalkidan Betre and I started an Applied AI course at ALX Africa. The first project in this course is about making deep fakes and video refacing. The video you see here has been made by one of our student James. This project is more than just for learning; it opens the door to seeing how easy and accessible AI is. You don't have to be great at math or know anything about programming to get into AI. It's really as easy as clicking a mouse, showing how simple it is to make deep fakes today. This project also deals with important ethical questions. Some people who haven't tried the project were surprised we started with something so controversial. But that's exactly why it works well. The project highlights being responsible and ethical, which helps students understand the big impact and responsibility of using AI. It's a good way to start a deeper conversation about AI, a conversation that's needed for people to think critically and be aware, especially when digital media and fake news are everywhere. Using AI tools hands-on is key. Without this, you can't understand how powerful and accessible these AI tools are. Students who have done the first project are now starting to get it. They're learning to think more about and question the media they see online. Growing this kind of thinking and awareness is crucial. To really get how powerful and fast-changing AI is, you have to use it yourself. It's a strong, amazing tool that keeps evolving. I hope to quickly grow our program, as I feel we have a big responsibility in this new industrial revolution. It's important that everyone understands AI, its potential for good, and all the questions it creates for us. If we don't share this knowledge widely, the gap between those who have and those who don't will get much bigger. AI is starting a new revolution, and it's very important that we include everyone.

Julien Barbier 🙃❤️🏴‍☠️

12,093 просмотров • 2 лет назад

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

468,772 просмотров • 7 месяцев назад

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

67,308 просмотров • 7 месяцев назад

Reading the comments on this post told me everything I need to know about art. So many of you wrote to say you felt the exact same thing I did standing in front of the Starry Night. That strange pull, the sense that the painting is somehow alive... It turns out the feeling is completely universal. I am not someone who gets emotional easily. But every so often a piece of art really gets to me. And that is exactly what happened the first time i walked up to Van Gogh's magnum opus. I know how that sounds, it is one of the most famous paintings on earth, almost a cliché to be moved by it. But maybe it is that famous for a reason... It genuinely looks like it is moving while you stand there, shifting in a way I cannot explain and have never seen in any of the thousands of paintings I have looked at in my life. The same day I took the photo below, I also filmed this short video. It still comes nowhere near the real thing, but you can at least catch a little more of it here, the thick ridges of paint, the way the stars and swirls lift right off the canvas. This technique is called "impasto", from the Italian for mixture. It means paint laid on so thickly that every brushstroke and ridge stays visible on the surface. Van Gogh piled it on with a loaded brush, building the stars up thick so they would blaze as bright as possible against the dark. But no video and no explanation of technique can really convey what it feels like to stand in front of it. And the fact that so many of you felt the very same thing says something true about what art is really for. Tolstoy said it best: "The receiver of a true artistic impression is so united to the artist that he feels as if the work were his own and not someone else’s, as if what it expresses were just what he had long been wishing to express. A real work of art destroys, in the consciousness of the receiver, the separation between himself and the artist. In this uniting of it with others lies the great attractive force of art."

James Lucas

57,859 просмотров • 2 месяцев назад

I've been working in silence for quite a while now. Tbh, I don't really even know where to start, so cue the rambling and ranting. Regardless of which side of the fence you sit on, no one can argue the past few years haven't been politically and economically wild. For crypto as a whole it feels like a never ending game of tug of war. A lot of X content has become toxic, so I just largely am not interacting these days. But I read, I read a lot of it. I think we like to forget history a bit in this community. $PLS launched off the highs, and the SEC swooped in right after. Very few people want to admit it, but it shook confidence immediately. I mean no other crypto project has survived such a thing at the time. But #PLS $PLSX and $HEX did. However, winning doesn't unshake that confidence. And RH during and after that event took social precautions to protect himself and his creations. Thing is, the guy isn't stupid. Someone once asked me if I thought certain aspects of the launch we rushed because he knew it was coming? And honestly, maybe. I'd attribute at least a non-zero probability to it. And If that were the case, im glad it was rushed. That case may have gone differently otherwise. Do I still think #PulseChain, #HEX, etc... all have futures? Yes. RH has had the opportunity to just straight up bounce from all of this. Why hasn't he? You could point to exhibit A, B, C, D, etc... of how he's likely got the funds to do that and we all could relatively do nothing about it. So why is he still around? I think it's pretty simple. The usual answer, he wants to win. It's in his twitter handle for Christs sakes. I'll go a step further and say he likely also wants us to win by extension, arguably not as much as he wins, but I mean that's pretty locked in at the moment 🤣 That's not to say he hasn't long been encumbered. And in that state, at lot has gone on without him. Much of which is / was bad. $pDAI guys... I pointed out from day one how building all this around a protocol in a dangerous state was a risky move. And I was right about that.... on multiple occasions... But does that matter now? I suppose not as much. In its current state, it's seemingly no longer exploitable. No different than a meme token now. (presumably, not like I have deep dove on any further risks since ESM). So I guess just whale risk mainly now? Now a lot of people here are in the anti-pdai camp. Me too for what it's worth. But I don't care as much about it's negative anymore in its current state. A lot of people are still in the #pDAI camp strongly. We view this as tribalism, but it's important to note that makes all of us in the #PulseChain camp universally. So these day I find myself relatively pDAI neutral. If you guys want to send it to $1 do it. Only whales can stop you, they run out eventually. (insert super strong this is NOT financial advice). Hell you can maybe even use Sigma to help? Or maybe it wont help, idk. Depends on how people use the software. Conversely, when looking at chain state overall... Why is there nearly $50M in stables sitting on the sidelines. Why not just bridge it out if you want out of what you think is a dead chain. Surely leaving it there exposes you to bridge risk? Why all these yield movements, why the $HEX dusts.... Something is happening. People are seemingly waiting to see what that something is. Or I am reading into things, NFA as always. This whole post is just ramblings of someone trying to do the best they can and certainly not any kind of advice. When I look at other ecosystems, I see a level of polish we don't have. I see tooling we don't have, I see a fostered developer environment we don't have. So I've just been building it, painstakingly.... Because someone has to if we want to be taken seriously. And what I've been building has allowed me to get Sigma to where it is. Sigma is so close... Really just in UI mode, performance optimization, going through nice to haves. I don't believe in launching in a non-finished immutable state. So yeah, I take my time. As with everything. But my point with all of this, and the "why" #Sigma question.... It's unifying, anyone can participate. Which tribe you're in doesn't matter. And if you don't like it, don't use it. It's just software you can use or not use. As it should be. The years of tooling work to deliver this has been a lot of work for one guy in silence. In that time AI has appeared. My take, every dev should be using it. Given the right direction and context. It will make you better. If you blindly trust it, it will make you worse. GPT 5.4 audits smart contracts better than most auditing services. Especially if you give it the context of what you are trying to do. Anyways I digress, testnet is soon. Soon more meaning a feeling of near completion not always reality. That how software is. I do think Sigma stands to unify the chain in a common goal, and shift liquidity into more meaningful places, but ultimately it up to the people the decide to use the software or not use it. And after these frameworks I've built will be applied to what I am tentatively calling the universal hex UI. More or less something aggregative of every derivative I can reasonably support. With data and analytics we since lost. So not just $HEX, $HDRN, and $ICSA, but others as well. However, that depends on some aspect of $Sigma to exist first, so sigma first, chain unity first. And last but not least, take care of yourselves and strive to do cool things. If we aren't doing cool things then what's the point? Hope you think my UI looks good, I spent a while on it. /rant

Alex McWhirter

42,577 просмотров • 7 месяцев назад