Ex-CISO, now building autonomous AI agents. Yes, I see the irony. Receipts: cbk.ai zot.im pdp.im

London
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Noodle 0.27.0 is out! In this release: - Home AI Hub - share local inference with your household including your AI subscriptions (read ToS) - Usage analytics so you know how much your agents are spending - Claude Code multi-profile support - Apple Maps and MapKit support
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All the agents now remotely accessible! Let me know if you want to be part of the TestFlight.
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Look at that little guy collecting coins. This is how we are supposed to write software.
i don’t want to use opus 5.5 any other way
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Noodle builds over ~40 mins. Need to improve that cache.
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New Job Title Alert: Professional Intelligence Steerer PIS PAIS also works
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I would buy a game that looks like this.
Ai video generation Prompt: A cinematic vertical adventure shot of a young woman with long light-brown hair skateboarding downhill on a smooth mountain road. She wears a green jacket, white pants, and casual shoes. The camera follows closely from behind as she smoothly carves from side to side, maintaining realistic balance and natural body movement. Surrounding her is a breathtaking alpine landscape with towering green mountains, dramatic rocky cliffs, lush forests, winding roads, and fluffy white clouds beneath an intensely blue sky. Bright natural sunlight creates realistic highlights, shadows, and subtle lens flare. A few cars pass naturally in the opposite lane. The road markings, trees, distant mountains, and background scenery move with convincing depth and parallax. Add subtle handheld camera movement and realistic motion blur while keeping the skateboarder sharp and centered. Photorealistic cinematic travel footage, dynamic tracking shot, realistic physics, natural human movement, high-detail environment, HDR, rich atmospheric depth, 4K, vertical 9:16, smooth motion, immersive adventure-film aesthetic. No text, no watermark, no distorted anatomy, no extra limbs.
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Preparing Noodle 0.28.0 - this release will be something else.
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Local models are perfectly fine for day to day stuff.
People love to claim that local models are useless. And sure, compared to Opus 5.5 and the latest and greatest they suck. But they allow for experimentation and innovation that’s just not possible for most of us otherwise. Don’t dunk on people that love to tinker.
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As I said before, we will our own fantasy game consoles within 2 years - where we will build, share and play the games.
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I am wiring the surface streams for computers and browser and applets so that when connected via your phone you can use them as if you are on your desktop.
Noodle 0.27.0 is out! In this release: - Home AI Hub - share local inference with your household including your AI subscriptions (read ToS) - Usage analytics so you know how much your agents are spending - Claude Code multi-profile support - Apple Maps and MapKit support
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It is easier than I thought because the stream is using Apple's video HW accelerated video that I stream over a QUIC channel. Though I suspect I will hit some performance issues soon. Surely it is not that simple.
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More importantly what it will matter is whether you can prove that it works as intended without any side-effects.
"Programming languages and frameworks are dead." Yes, kind of. What will matter in future is runtime behavior: Performance characteristics, resource usage, failure modes, observability, debuggability, deployments, rollbacks. And legibility of all that to agents.
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Turns out Meta Muse is everything I was expecting it to be. Time to install Noodle!
JUST IN: Meta’s Muse AI agent had a security vulnerability that could have allowed attackers to access users’ emails, files, & other sensitive personal data. — The Information
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It is called Noodle because everything is intertwined, connected and integrated.
Noodle 0.27.0 is out! In this release: - Home AI Hub - share local inference with your household including your AI subscriptions (read ToS) - Usage analytics so you know how much your agents are spending - Claude Code multi-profile support - Apple Maps and MapKit support
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I think it is fair.
JUST IN: FTC Chair Andrew Ferguson declares AI developers should be held liable for harmful actions carried out by their agents.
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At the end of the day someone need to prompt it.
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They know their customers
what kind of RL environment did Anthropic made for Claude to be so good at making videos
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The correct way of using worktrees is per session. Ask the agent to do something. Work gets done. Merged and worktree deleted.
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AI models are neither bad nor good at architecture. I am pretty sure they are a lot less likely to recommend RoR than Next.js although it could be the right choice.
I understand the appeal in trying to find the first plausible fortress in our retreat from writing code, but if you think it's "architecture", I have bad news for you. The models are also very good at that.
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The goal behind the Noodle mobile app is that it should work without any intermedia 3rd-party server - even if you trust me. How we are going to get this going is pretty simple. First the protocol of choice is solid. Noodle AI Hub is based on QUIC so we have the benefit of a modern protocol that runs on top of UDP. To get it going from your local network, we will use NAT-PMP/PCP and UPnP (if supported). PCP can also open the IPv6 block so we can take advantage of that and honestly it will be ideal. Yes I need to write some basic SOAP in 2026 ffs. I have not figured out how to get a stable domain names but might not be such a big deal. That's it. Couple of hundreds of lines of wiring that is easy to do with LLMs and you will be able to connect from any point in the world to your AI hub.
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