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arkinox
arkinox@team.fanfares.io
npub1arkn...h43w
CTO Fanfares.io Creator of #cyberspace meta-protocol, https://onosendai.tech OpenSats grantee Cyberspace community https://straylight.cafe Gamedev community https://t.me/Nostrgamedev
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arkinox 9 months ago
I rewrote the second chapter of my sci-fi book. It's really coming together. But there is a long way to go.
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arkinox 9 months ago
GM fellow freedom enjoyoors ✌️
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arkinox 9 months ago
The self-censorship on youtube is absolutely pathetic. "Welcome to my channel about g*ns and am**o!" 🙄 do people really think they have a future on platforms? Because that looks like hanging on by a thread to me.
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arkinox 9 months ago
I am eating dried peach slices and they are very tasty
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arkinox 9 months ago
We should have a nostr conference in Japan this fall. I want to go back
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arkinox 9 months ago
everyone shut up and get back to work
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arkinox 9 months ago
@OceanSlim we need to invent a Nerf gun-based drinking game with roguelike elements called Escape from Karkov image
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arkinox 9 months ago
China allegedly used American TikTokers' private data to manufacture fake IDs with real information, and then smuggled them into the USA to Chinese students to mail-in vote for Joe Biden
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arkinox 9 months ago
vibing off into the sunset. Midjourney video generation is pretty nice
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arkinox 9 months ago
If you simhash every message in a chat room and store it, then whenever someone sends a new message you can check if the simhash of that message already exists. If it does, you simply don't show that message in the chat. I call this "thoughtful mode" and it could really tame the chaos of large chat rooms and promote unique and thoughtful responses during live events. @Kieran @zap.stream food for thought. Here's my simhash TS module
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arkinox 9 months ago
minecraft redstore IRL 🤯
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arkinox 9 months ago
It's funny to me that we need to research how to make LLMs work with smaller data structures, because typically you start with the smallest data structures and then figure out how making them larger can improve the software. Lo and behold, less bits can make faster more efficient LLMs.