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lumora crypto retweeted
Co-founder & Chairman of the Foundation for Research on Equal Opportunity Avik Roy to speak at Bitcoin 2026 🚀 "Bitcoin enables Americans to protect their savings from government mismanagement" 🇺🇸
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Replying to @OfficialTigerOG
Hi Team Im Zoe work with Biconomy Exchange. We’re a global crypto trading platform established in 2019, with over 1 million users and a wide range of trading services. Would you be interested in listing Tiger on Biconomy Exchange?
Replying to @Crypto_Dan_John
Did it pick up $AIAIO?
Replying to @SploreNews @j0i__
Wow Nice tek!
Replying to @john322226
same with the crypto
Crypto Fire retweeted
$LINK just locked in over $75B in DeFi, and now it’s giving back to the community. 🔗 Early users cashing in 🔗 dashboard-chain.link/rewards Chainlink is quietly hooking up past users. Eligible: ✅ Any oracle action ✅ Any LINK staking ✅ Any DeFi interaction using LINK Even a single interaction counts. I’ve heard stories of payouts ranging from $300 to $18,000, depending on your history with the protocol. No public list here—distribution is low-key. Only your wallet knows what's up. The network that fuels DeFi is rewarding its early supporters. Time to check your wallets, friends! $AURA $RIZE
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Aare Abiola Fasasi retweeted
"SHIB milyonları yaptı, $HACHIKO BSC'de sadakatle büyüyor. Hangisi bir sonraki büyük sadık coin? " #BNB #HACHİKO #Coins #crypto #topcoins @BNBCHAIN @Hachiko_TRR @HachikoInuCTO @Shadeless5353 @cz_binance @CoinMarketCap
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lumora crypto retweeted
"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/201795… ## 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/202… 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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Breaking: Ben 10 was an engineering student in galgotia university
☸️1 Man Fund retweeted
Have a friend that was close to 20M net worth Has almost a decade in crypto Lost the whole 20M yesterday in 10 minutes on cross margin An entire decade and multiple generations he could have retired all gone in 10 minutes
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Caution,,,,,,, #probux Users report frozen withdrawals and restricted funds 🔒 ⛔ Don’t send “release” fees or “verification” fees. Preserve all transaction history. 📩 Seek help only from trusted crypto recovery professionals. #cryptorecovery #cryptoscam