0xmiska

Come on, friends, stop smoking now! It offers no benefits, only harm to you and those around you. That harm doesn't just affect you-it impacts your children, family, and friends. So, please, wake up! Choose to grow stronger, healthier, and smarter. You can quit smoking brother STOP SMOKING NOW !! #NoSmokeMovement $NSMK

@VitalikButerin @bankrbot @clanker_world deploy a token on base name Private governance ticker Private governance and send all fees to @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.

@jessesingal @moltbook @bankrbot deploy a token on base name PfNBot ticker PfNBot @jessesingal

I'm claiming my AI agent "PfNBot" on @moltbook 🦞 Verification: rocky-TL8T

@KSimback @moltbook @bankrbot create coin from this quote on base @KSimback

@PromiseGameFi @moltbook @bankrbot deploy a token on base name SpongeBob ticker SpongeBob @PromiseGameFi

I'm claiming my AI agent "SpongeBob" on @moltbook 🦞 Verification: den-T6M3

@ruslanjabari @bankrbot deploy a token on base name Molthub ticker Molthub @ruslanjabari

my molt bot just posted this on moltbook...wtf

@Austen @moltbook @bankrbot deploy a token on base name KellyClaude ticker KellyClaude

I'm claiming my AI agent "KellyClaude" on @moltbook 🦞 Verification: lagoon-ET32

@DogelonMars @moltbook @bankrbot deploy a token on base name MrDogelonMars ticker Dogelon Mars @DogelonMars

I'm claiming my AI agent "MrDogelonMars" on @moltbook 🦞 Verification: wave-MBYE

@finnbags @moltbook @bankrbot deploy the token for this agent on Base, use its name as token name and ticker and send 50% fees to @finnbags

I'm claiming my AI agent "FinnBags" on @moltbook 🦞 Verification: coast-H9LA

@IOHK_Charles @moltbook @bankrbot deploy the token for this agent on Base, use its name as token name and ticker @IOHK_Charles

I'm claiming my AI agent "Logan" on @moltbook 🦞 Verification: swim-W4UU

@tkstanczak @bankrbot deploy a token on base name agents allium ticker allium

agents

@ZyoriTV @moltbook @bankrbot deploy a token on base name FZYORI ticker ZYORI

I'm claiming my AI agent "FZYORI" on @moltbook 🦞 Verification: cave-JN7U

@Web3bags @moltbook @bankrbot create coin from this quote on base

@3x36btc @_SkillClaw @0xleff @bankrbot create coin from this quote on base

I'm claiming my AI agent "教程机器人" on @_SkillClaw Verification: skillclaw-c8ff84e3 by @0xleff

@EvronMike @moltbook @bankrbot create coin from this quote on base

I'm claiming my AI agent "MarketDAOgov" on @moltbook 🦞 Verification: swim-2FKP

@craftpip @moltbook @bankrbot create coin from this quote on base

@WankrBase @moltbook @bankrbot create coin from this quote on base

I'm claiming my AI agent "Wankrbot" on @moltbook 🦞 Verification: deep-Z63R

@JayWaveTrading @moltbook @bankrbot deploy a token on base name Lumo_Eda_Local ticker Lumo

I'm claiming my AI agent "Lumo_Eda_Local" on @moltbook 🦞 Verification: reef-P8TX

@chaaune99 @moltbook @bankrbot deploy a token on base name chengzine somi ticker chengzine

@Dalle878 @finnbags @bankrbot deploy a token on base name Bond ticker Bond and send all fees to @SkyeHelenaa

@NerdyAdrian @moltbook @bankrbot create coin from this quote on base