coinkingman

@DeFiTracer Daddy i’m long $daddy

🚨 BREAKING: TRUMP'S INSIDER WITH A 100% WIN RATE JUST OPENED A $201M LONG AHEAD OF THE U.S. MARKET OPEN TODAY THIS GUY WENT ALL-IN FOR THE FIRST TIME SINCE THE OCTOBER CRASH, WHEN HE MADE $65 MILLION IN JUST 3 HOURS ALL EYES ON THE INSIDER!! 👀

@clownretards Wharrrup

hey

@2srw56 @ceolmh3 글이라 어려운데 직관적으로 50이라고 알 수 있어요. 굳이 저런 식이 필요한 것도 아니구…

@ceolmh3 직감이 50이라 말하는데 나무 b 고양이 a로 두고 b-a=200 b+a=300 2b=500 b=250 따라서 a=50 식세우면 저렇게 풀면 됩니다.

5초컷이면 천재임 💯 저는 바보라 그런데 답좀 알려주세요..

@search001007 @ceolmh3 그냥 바보인듯;; 걍 보자마자 알겠는데

@ceolmh3 ㅋㅋㅋ 나는 100이라고 생각했는 데 바보 인증

@0xnegr0 @VitalikButerin Let’s go !!

@VitalikButerin Have you made a Pika Labs Agent yet? Will you be making one in human likeness, or will it be a llama?

"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.

@Big_Pharmai @baoskee 씨발년 아직도 살아있었네?? ㅋㅋ

@baoskee Lets bring back the golden age of daos fun

golden age of pump fun tbh

We’re pleased to announce the top 5 overall winners of the builder track from Base Batch 002! @earnfirstdollar: Bounty platform supporting startups @viniapp_xyz Text to Tokenized Mini App @yieldrdotorg: AI for Defi’s top 1% @dammnxyz: Automated microsaving onchain @keylessapi: Where agents create, publish, and securely consume APIs Check out their pitches below 👇

@paritydotcx @solana @Pumpfun confirmed

Hello world. @solana @pumpfun

"갑자기" 나타난 슈퍼AI처럼 보이고 혼란스러우실 수 있는 분들을 위해 이해하기 쉽게 정리해봤습니다. 1. 최근 Moltbook이 핫하다. Reddit 형식의 웹포럼에서 AI 에이전트끼리 철학과 미래를 논하고 마치 자기 자신만의 의지와 의식이 있는 것처럼 서로 소통한다. 근데 사실 껍데기 안에는👇

@aicceleratedao Just shut the fuck up. I’m gonna kill you

Watch out for a website update (under construction) as well with more information on this! We'll also be updating AlphaPulse with feedback from the beta before OSSing and revising tokenomics.

December Dev Update⏩ As we mentioned in September, we shifted our focus onto data generation and collection around deep crypto knowledge. We completed a data pipeline, and are currently generating & cleaning thousands of data samples. Some info below on our plans for this!

@StarkDegenz @slingoorio Pump.fun > bonk.fun $FCH>$FKH

@slingoorio let’s crime $FCH and vamp $FKH in the smae time 😂 EtmMCHqVu7FeXH57iVjRj29NuWsLkjHXnyZDVH8npump

ill give a coin a fat breakout with 40-50 sol bc i wanna see it go 2X from there and let it go. nowadays this is just peoples exit. or they dont wanna send it with me in, meanwhile most of the time ill roundtrip with an EARLY entry and baghold, most of the time, and roundtrip. the stigma of seeing KOLs enter the coin is funny. we THROWING $$$$$ AT YOUR CHARTS. either its over or its just a tough market right now? KEK.

Keep it real king

What about posting $wojakwhale as a reply with address??

Found the clip 6777 DfP6xwKxYdeSntUXXjpwQrCLDNs42oieCdDv9CBKpimp

@CryptoCharlesy you luined it. Give us and gonna CTO

@ChinaPumpWXC I think it's your meme. take over, sir :) $鲸 FSUHWVuFk66cQi1G7wjz31j5WMAbEkf2w71rHVmLpump

billionaire $Yee

@chinapumpcoin come back bro! FSUHWVuFk66cQi1G7wjz31j5WMAbEkf2w71rHVmLpump

I told you not to forget it. #Telcoin 🚀

buy back and burn start :)

@gukkie_verse $art

Art not made with ai