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@lhl

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From a market perspective, I actually think Bitcoin will be strong in the short term w/ ETF news, macro, etc, but as "P2P electronic cash," IMO that died when the small-blockers won in 2017. Lightning security dev throwing in the towel: https://lists.linuxfoundation.org/pipermail/bitcoin-dev/2023-October/022032.html
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A few months ago StyleTTS2 was announced, and the demos sounded great: https://styletts2.github.io/ - some code finally dropped in the repo, so here are some notes on inferencing (and a link to comparison w/ TTS VITS and TTS XTTS output) for those interested: https://llm-tracker.info/books/howto-guides/page/styletts-2
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Most of my year w/ AI has actually been objectively somewhat unproductive since I've been deep in AI research/yakshaving instead of using it to get projects done, but the past couple days I've been having fun with ChatGPT CI playing with hilbert curves: https://fediverse.randomfoo.net/notice/AZMjVLoHwi5BqAwia8
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Yesterday, something incredibly cool was released. The first (afaik) open LoRA MoE proof of concept - it lets you run 6 llama2-7B experts on a single 24GB GPU. Here's my setup notes: https://llm-tracker.info/books/howto-guides/page/airoboros-lmoe
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There are less than 2 days left for participating in the KZG ceremony: https://ceremony.ethereum.org/ - for fun, I asked ChatGPT-4 Code Interpreter to plot what the chances were for getting in under the deadline https://chat.openai.com/share/80fa7bc0-e099-4577-bad9-d026e7994660
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I finally got around to testing out the Keystone Pro I ordered and got deep into a rabbit hole of SLIP-39, BIP-39 roundtripping, SSKR etc. I ended up just making a new SLIP-39 seed for testing, but one thing I missed was Multi PIN support. Doing some research, will compare more vs Lattice and Ledger soon.
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Recently I've been thinking about how one might go about enforcing privacy/deletions on a distributed social network. You would need to have posts encrypted, and a distributed key management system that would allow revocations - anyone know of any work being done on this?
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Maybe of interest for those looking to run their own LLMs, I've compiled the most comprehensive list of 1B+ parameter models I've seen online, as well as evals, some fine tunes and datasets: https://docs.google.com/spreadsheets/d/1kT4or6b0Fedd-W_jMwYpb63e1ZR3aePczz3zlbJW-Y4/edit?usp=sharing
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I've been pretty heads down doing deep dive on AI/LLMs this past month and keeping some notes. I'm sure it'll change over time but here's my current take on AI Safety xrisk: https://mostlyobvious.org/?link=/Reference%2FSoftware%2FGenerative%20AI%2FSafety
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Spending most of my time recently with generative AI - training models in SD, playing around w/ LLMs, etc. I think I'm mostly caught up (although new products and breakthroughs keep flooding in), but good reminder that despite regulatory headwinds, crypto marches on: https://twitter.com/avsa/status/1638921979188191232
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Authenticating my Farcaster account on @perl. [0x447ff8316749a3e1956dcea4198e2abe1cfe2a394047364667da03796559c39c6abe3f20077d0df33abed0ad452a09a552a056564d010773e42db3d6ff0198dc1c]
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tap tap. Let’s see how this compares to lens and mastodon…
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