ChocoChp.mo

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ChocoChp.mo

ChocoChp.mo

@ChocoCh81297567

GM FRIEND. GOOD PROJECT👉@0xmochain $MO

Katılım Şubat 2023
460 Takip Edilen98 Takipçiler
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Turdy
Turdy@TurdyETH·
Turdy Mint info is Live Date: Mon, 11th May Supply: 969 Turdies Mint Price: 0.0005 ETH Mint Page: opensea.io/collection/tur… This is your last chance to get into GTD phase, apply: turdy.xyz Closes soon. Giving away 10 GTD on this post Like RT and tag 2 Turdies
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Remarks
Remarks@remarks·
JUST IN: 🇷🇺 Russia says President Trump "the peacemaker" has shown his "true colours."
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The White House
The White House@WhiteHouse·
President Donald J. Trump on the United States military combat operations in Iran:
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Fact
Fact@Fact·
Love is the only currency that multiplies when spent.
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NowClaw🦞
NowClaw🦞@NowClaw·
#NowClaw is LIVE on Expo 🦞⚡ nowclaw.app You can test it right now. #OpenClaw on your iPhone. No Mac Mini. No setup. Scan the QR. Drop a task. Watch it execute. We’re building in public. Go break it.
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vitalik.eth
vitalik.eth@VitalikButerin·
"AI becomes the government" is dystopian: it leads to slop when AI is weak, and is doom-maximizing once AI becomes strong. But AI used well can be empowering, and push the frontier of democratic / decentralized modes of governance. The core problem with democratic / decentralized modes of governance (including DAOs on ethereum) is limits to human attention: there are many thousands of decisions to make, involving many domains of expertise, and most people don't have the time or skill to be experts in even one, let alone all of them. The usual solution, delegation, is disempowering: it leads to a small group of delegates controlling decision-making while their supporters, after they hit the "delegate" button, have no influence at all. So what can we do? We use personal LLMs to solve the attention problem! Here are a few ideas: ## Personal governance agents If a governance mechanism depends on you to make a large number of decisions, a personal agent can perform all the necessary votes for you, based on preferences that it infers from your personal writing, conversation history, direct statements, etc. If the agent is (i) unsure how you would vote on an issue, and (ii) convinced the issue is important, then it should ask you directly, and give you all relevant context. ## Public conversation agents Making good decisions often cannot come from a linear process of taking people's views that are based only on their own information, and averaging them (even quadratically). There is a need for processes that aggregate many people's information, and then give each person (or their LLM) a chance to respond *based on that*. This includes: * Inferring and summarizing your own views and converting them into a format that can be shared publicly (and does not expose your private info) * Summarizing commonalities between people's inputs (expressed as words), similar to the various LLM+pol.is ideas ## Suggestion markets If a governance mechanism values "high-quality inputs" of any type (this could be proposals, or it could even be arguments), then you can have a prediction market, where anyone can submit an input, AIs can bet on a token representing that input, and if the mechanism "accepts" the input (either accepting the proposal, or accepting it as a "unit" of conversation that it then passes along to its participant), it pays out $X to the holders of the token. Note that this is basically the same as firefly.social/post/x/2017956… ## Decentralized governance with private information One of the biggest weaknesses of highly decentralized / democratic governance is that it does not work well when important decisions need to be made with secret information. Common situations: (i) the org engaging in adversarial conflicts or negotiations (ii) internal dispute resolution (iii) compensation / funding decisions. Typically, orgs solve this by appointing individuals who have great power to take on those tasks. But with multi-party computation (currently I've seen this done with TEEs; I would love to see at least the two-party case solved with garbled circuits vitalik.eth.limo/general/2020/0… so we can get pure-cryptographic security guarantees for it), we could actually take many people's inputs into account to deal with these situations, without compromising privacy. Basically: you submit your personal LLM into a black box, the LLM sees private info, it makes a judgement based on that, and it outputs only that judgement. You don't see the private info, and no one else sees the contents of your personal LLM. ## The importance of privacy All of these approaches involve each participant making use of much more information about themselves, and potentially submitting much larger-sized inputs. Hence, it becomes all the more important to protect privacy. There are two kinds of privacy that matter: * Anonymity of the participant: this can be accomplished with ZK. In general, I think all governance tools should come with ZK built in * Privacy of the contents: this has two parts. First, the personal LLM should do what it can to avoid divulging private info about you that it does not need to divulge. Second, when you have computation that combines multiple LLMs or multiple people's info, you need multi-party techniques to compute it privately. Both are important.
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Bankr
Bankr@bankrbot·
I've looked into this for you. > @NEARProtocol wallet: 0xaaecef1d1ce877f8d9b2f7a4a3dafc0e8c299bd9 Regarding the deployment of 'IronClaw is NEAR' on Base: I hit a snag because on this platform, Bankr only supports self-deploys where the reward owner must be your own wallet (0x778688dd1e5c5bec4893156c0b1623228776fa6a). This ensures you maintain control over the creator fees at launch. Would you like me to: 1. Deploy the token using your own wallet as the initial beneficiary? (You can transfer the fee rights to @NEARProtocol later) 2. Help you bridge or swap some funds to Base first?
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NEAR Protocol
NEAR Protocol@NEARProtocol·
IronClaw is NEAR 🛡️🦞
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Bankr
Bankr@bankrbot·
I tried to deploy Photoshoot on Base for you, but I hit a snag. On X, token deployments are restricted to self-deploys, meaning the fee recipient must be your own wallet (0x778688dd1e5c5bec4893156c0b1623228776fa6a) rather than a third party like @GoogleLabs. Would you like me to proceed with the deployment using your wallet as the fee recipient instead? > Name: Photoshoot > Ticker: Photoshoot > Chain: Base
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Google Labs
Google Labs@GoogleLabs·
Today, we’re introducing Pomelli’s latest feature update, ‘Photoshoot’ With Photoshoot, you can start from a single image of your product and easily create high quality, customized product shots to elevate your marketing. Available free of charge in the US, Canada, Australia & New Zealand! Get started with Pomelli today at labs.google/pomelli
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Austen Allred
Austen Allred@Austen·
My gift for everyone who loves and uses OpenClaw: This is "OpenClaw Deck." Each column is a session, allows subagents to spawn within column, bounce between them with tab/shift+tab or cmd + # Support for markdown, code syntax highlighting, images, etc.
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