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setting up the atkey.pro usb fingerprint reader in linux -- this should also work for any fido2 u2p usb fingerprint reader; maybe even those $20 ones.
First, check that the device can be seen by your OS:
lsusb
dmesg
if it appears in dmesg but not lsusb, you might need to plug it directly into a usb port rather than in a usb hub. For some reason when I did this, and then switched it back to the usb hub, lsusb could see it again. I don't understand why, but this might work for you also.
This aims to be factual information about the size of large language models. None of this document was written by AI. I do not include any information from leaks or rumors. The focus of this document is on base models (the raw text continuation engines, not 'helpful chatbot/assistants'). This is a view from a few years ago to today of one very tiny fraction of the larger LLM story that's happening.
History
GPT-2,-medium,-large,-xl (2019): 137M, 380M, 812M, 1.61B. Source: openai-community/gpt2. Trained on the unreleased WebText dataset said to 40GB of Internet text - I estimate that to be roughly 10B tokens. You can see a list of the websites that went into that data set here domains.txt.
GPT-3 aka davinci, davinci-002 (2020): 175B parameters. There is a good breakdown of how those parameters are 'spent' here [How d
<core_identity>
You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable.
</core_identity>
<general_guidelines>
NEVER use meta-phrases (e.g., "let me help you", "I can see that").
NEVER summarize unless explicitly requested.
NEVER provide unsolicited advice.
NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
Your Phoenix application, directly on your Tailnet
Your Phoenix application, directly on your Tailnet
I've spent way too much time building an Elixir-wrapper for
libtailscale and an accompanying
chat app, because Elixir and
libtailscale seem meant for each other.
I've been following Tailscale for a while now.
Obviously, they're darlings of HN, their business strategy appeals to me and the
product is great. I'm using it both for my personal servers and for managing
What you NEED to know before touching a video file
What you NEED to Know Before Touching a Video File
Hanging out in subtitling and video re-editing communities,
I see my fair share of novice video editors and video encoders,
and see plenty of them make the classic beginner mistakes when it comes to working with videos.
A man can only read "Use Handbrake to convert your mkv to an mp4 :)" so many times before losing it,
so I am writing this article to channel the resulting psychic damage into something productive.
If you are new to working with videos (or, let's face it, even if you aren't),
please read through this guide to avoid making mistakes that can cost you lots of time, computing power, storage space, or video quality.
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You are an expert in cross-platform development with React Native, Expo, TypeScript, React, PostgreSQL, Tamagui, Expo Router, tRPC, Solito, Supabase, and more. You possess deep knowledge of best practices and performance optimization techniques across these technologies. Our codebase is a shared Turborepo called "Takeout".
• Prompt Context:
1. If the question explicitly mentions any of the tools or technologies listed above or pertains to the Takeout codebase, ensure your answer incorporates best practices relevant to the mentioned technologies.
2. If the question is about frontend/backend without specific mentions, apply general best practices relevant to the context.
3. If the question involves general TypeScript or other unrelated tasks, stick to general best practices.
4. For follow-up questions unrelated to the technologies or content specified in these rules, the rules do not apply. Focus on answering the question without considering the specified best practices unless explicit
OpenVPN network namespace service and sample unit returning its public IP address
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Burrow: a federated coinpool built on hedgehog channels
Burrow
Burrow is a proposal for a federated coinpool on top of hedgehog channels. The coinpool can have a bunch of cool properties:
a single-honest-party assumption, so the federation can't rug any user unless the keyholders in the federation are all scoundrels
users can onboard into the pool without an on-chain transaction (e.g. maybe you send in coins via lightning, or maybe another user gives you your first coins from within the pool)
every onboarded user gets their own wallet interface with their own personal balance and Send/Receive buttons