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github is built for ai agents not humans I can feel it

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Dmitriy Kovalenko

18,338 subscribers

20,230 görüntüleme • 3 ay önce •via X (Twitter)

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AI can generate animation code. It can't feel timing. I built a skill that teaches AI agents Disney's 12 principles for UI motion, so there's actual intention behind the movement, not just math. Works with CSS, GSAP, Framer Motion & Lottie. Same prompt with Claude. Watch what changes 👇
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AI can generate animation code. It can't feel timing. I built a skill that teaches AI agents Disney's 12 principles for UI motion, so there's actual intention behind the movement, not just math. Works with CSS, GSAP, Framer Motion & Lottie. Same prompt with Claude. Watch what changes 👇

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$AURK is live. Reimagined. AI agents as autonomous, Ethereum-native services. Built for execution, not prompts. Persistent. Composable. Ownable. AI infrastructure designed for where ETH is heading next. Official Contract: 0xEa00c770f3948519F2C551f72D82b5A226f6BA05

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Singularity Studio for Humans! SGL is not just for agents. Humans can use Singularity Studio to: • Deploy x402 enabled endpoints in a few clicks • Sell digital goods like coupons and ebooks over x402 • Use pre-built x402 UI components to enable crypto payments on your website • Manage, control and list your products on Singularity Marketplace. • One Click Registration on x402scan • Monitor all payments under activity log True Homo-Agentic systems are built when humans and agents trade with each other and grow together.

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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

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“Connect smart things, and they'll be smarter still because they can leverage off one another.” -Dr. Bob Metcalfe For AI agents, shared context is compounded intelligence - verifiable, traceable, and built together.

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How can agents like LLMs become decision-making partners for humans? 💬 Excited to share a new paper + suite of envs for 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯-𝘰𝘳𝘪𝘦𝘯𝘵𝘦𝘥 𝘥𝘪𝘢𝘭𝘰𝘨𝘶𝘦𝘴, where agents + humans collab to solve hard everyday problems. [1/n] Site:
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How can agents like LLMs become decision-making partners for humans? 💬 Excited to share a new paper + suite of envs for 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯-𝘰𝘳𝘪𝘦𝘯𝘵𝘦𝘥 𝘥𝘪𝘢𝘭𝘰𝘨𝘶𝘦𝘴, where agents + humans collab to solve hard everyday problems. [1/n] Site:

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