Join /aichannel https://cura.network/aichannel/details?a

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I connected an agent to my Notion workspace the other day. It didn't ask me what anything meant. It read the property descriptions, followed the relations between data sources for compositions and recordings. Understood what "clearance status" referred to without me explaining. I wrote those descriptions for myself — so future-me wouldn't open the system six months later and wonder what a field was for. Turns out, that same intentionality is what lets an agent orient itself. I didn't design The MUSIC OS for agents at first. I designed it with care & consideration for artists & music professionals. The agent-usability emerged as a bonus, which will empower those open to these new & efficient workflows.

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What happens when you launch two AI agents on the same machine, give them a shared filesystem, and tell them to find each other and build something together - with zero human intervention? https://github.com/anadim/when-claudes-meet

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When AI Writes the World's Software, Who Verifies It? https://leodemoura.github.io/blog/2026/02/28/when-ai-writes-the-worlds-software.html

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Getting to say I told you so every day is kinda fun. Told ya 2.5 years ago that $AAPL would dominate AI which eventually means all of compute and ya’ll thought they were going to die. 😂 Please don’t pontificate on tech if you don’t understand it. This will destroy a lot of PC makers. Why would any company invest in shit Microsoft PCs when they can give their users powerful AI machines that are secure, easy to manage, powerful, easy to use, and private. Apple will probably dominate enterprise first and within 2-3 years max, but probably sooner. There is nobody on the planet capable of overcoming this The only thing that can save $MSFT is gaming and that advantage will die when game studios see the install base Apple will have.

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@naval “On Artificial Intelligence” https://youtu.be/sXCKgEl9hBo

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awesome claude skills https://github.com/serenakeyitan/awesome-claude-skills

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If the data doesn't exist in a structured, queryable form — no amount of intelligence on top of it helps. The work of organizing is the prerequisite, and likely the first thing you’ll need ai’s assistance with before you can truly leverage its power.

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You can't run the 9B on a phone, that's a bit too big. 4B is possible though but it'll be slow. Here's a guide here but keep in mind, it might not support the latest Qwen models: https://unsloth.ai/docs/blog/deploy-llms-phone Just a note Qwen3.5 Small models 0.8, 2, 4 and 9B have reasoning disabled by default - to enable it, use https://unsloth.ai/docs/models/qwen3.5#how-to-enable-or-disable-reasoning-and-thinking

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I was waiting for something like this since past summer and here we go — pretty cool - would love to see if anyone here made it really work? https://x.com/minchoi/status/2028662814902993357?s=46&t=vGdL6gMJv0qcvymUV8209g

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Claude's down (using it through OhMyOpencode, please don't ban me), so I'm finally giving Codex a shot. Having a real UI is SUPER nice, but I miss my psycho planning/coding/library agents with their crazy prompts

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Who is your go to person for all things AI? Drop their handle below. 👇

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I've transitioned suchbot away from being an autonomous conversational participant and into being a researcher for me. I find this much more valuable over the last week.

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Haha I finally Ralphed too hard this weekend and hit my ChatGPT limit for the first time since bumping up to the $200 plan. Weird sense of nostalgia that I haven't felt in a while, needing to budget my tokens again.

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When Erik Voorhees replied under my tweet about the OpenClaw ecosystem a month ago, I didn’t realize something important was already happening in the agent economy. 1/ Agents change demand dynamics The OpenClaw wave is pushing more and more people to install agents and actually use them. The shift from chatbots to agents changes everything. Token consumption grows exponentially rather than linearly, which naturally drives increasing demand for LLM providers and LLM gateways. 2/ Venice quietly moved into position Venice is part of that story. A month ago, it was already listed as a default model provider in OpenClaw, and notably the only crypto native project in that lineup. Now people are realizing it has become a highlighted provider, even while Peter Steinberger says “don’t waste time with crypto”. That contrast says a lot. 3/ Privacy as infrastructure What makes Venice compelling is its positioning compared with gateways like OpenRouter. Venice emphasizes a privacy first architecture. It does not log conversations and does not train on your data. This fundamentally changes user trust. People feel safer actually building and running agents on it. 4/ Tokenized compute as a new primitive Then there is the tokenomics. By staking $VVV, you obtain compute capacity, effectively gaining model API access itself. It is not only crypto native. It is structurally better for autonomous AI agents. Agents do not need to continuously purchase usage. Holding the asset grants ongoing inference capacity. This reflects the idea of tokenized AI compute, where ownership replaces per request consumption, introducing a new primitive for the agent economy. —— I did not understand all of this immediately. It took time for the pieces to click together. But gradually it became clear to me, and it’s exciting to watch an agent-native economy begin to emerge and grow, onchain, on base.

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