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@nftRanch

100 % organic fiRANCHial ADVICE 🤖 in mvhq : Stay Broke

new york Katılım Mart 2021
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Raanch
Raanch@nftRanch·
We are looking for good causes and campaigns in the NFT world. Humanitarian and direct to people preferred #nftranch #ranchgang #justranchit
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Raanch
Raanch@nftRanch·
@beijingdou Down But Who’s paying for the heated pool Not it
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Raanch
Raanch@nftRanch·
@0xJeff Do you have one for catching a failing knife -Jk
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0xJeff
0xJeff@0xJeff·
One single thing I learnt last cycle is to buy the blood ​ So, when market's down, I go deep into X, DefiLlama, Artemis, Dune, Taostats, Taoapp, anywhere there's signal ​ It's time consuming, especially for tracking Bittensor subnets since April last year ​ So... I condensed it ​ I've mapped out 40 categories and identified the 10 that actually matter ​ Inside this week's article: - Breakdown of 40 subnet categories + their performance - Where demand & growth is - Leading subnets in the top 10 category + why they’re winning - Early signals and under-the-radar subnets worth tracking. ​ [Link in bio]
0xJeff@0xJeff

Hopped on calls w/ subnet owners + operators on Bittensor the past week ​ Everyone is hopeful & bullish ​ I noticed 2 interesting trends ​ 1. The TAO Ouroboros ​ (h/t @mikecontango) ​ Despite subnets competing with each other for emissions, there's a trend of collaboration (i.e. subnets partnering with each other for services). For compute, inference, or any other products/APIs. ​ One subnet revenue becomes other subnets COGS, and other subnets COGS become others revenue, forming a Ouroboros loop. TAO stays within the system, Bittensor becomes an end-to-end ecosystem where all types of resources can be purchased and circulated. ​ This reminds me of the AI circle jerking/AI Ouroboros deals that happened between Nvidia, OpenAI, Intel, AMD, xAI, etc. Helps props up the entire eco. Great for anyone that's part of the circle (although sustainability is the key question) ​ 2. Defi on TAO ​ Defi building blocks are coming to Bittensor, starting with perps. ​ Bittensor has been good at AI but bad at fostering Defi primitives. Defi is essential to building a solid foundation especially with perps. ​ Perps enables downside hedging without selling — short perps long spot on alpha tokens. Users keep their spot token while earning yields/funding rate. Subnets avoid further sell pressure. ​ Miners/Validators are able to hedge their downside while holding their spot alpha tokens without selling. ​ Bittensor will be able to attract liq funds, MMs, LPs with dry powder who hate unhedgeable risk, to buy into alpha tokens. ​ The end result for subnets = deeper books/better liquidity/less slippage. Thus, kickstarting the flywheel ​ Perps bring institutions + capital → higher TVL & volume → better price discovery for subnets → deeper liquidity attracts more participants → CEX listing became easier → flywheel continues ​ Heard some Bittensor folks are against Defi primitives. I think it's what Bittensor needs right now to scale out of the current circle. ​ Exciting times ahead. ​ Article deep dives into subnets coming out this week. Stay tuned!

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under the tape.
under the tape.@underdatape·
Launch $TAPE in 2 days🟢 📜• WL = GTD, $0 mint price (444 NFTs) 🎟️• Public = Raffle $1 per ticket. (667 NFTs) If you want WL = interact + drop 0x.. wallet⏬
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Scottie Pippen
Scottie Pippen@ScottiePippen·
AGI isn’t scary. Being late is.
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Matt Liston
Matt Liston@no__________end·
I co-founded Augur, the first decentralized prediction market, and was founding CSO of Gnosis, the second. Polymarket still runs on Gnosis contracts. I'm glad prediction markets finally broke through. But I'm not going to pretend that what's being scaled right now is what we built these systems to do.
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Igor Yuzovitskiy
Igor Yuzovitskiy@igoryuzo·
Who’s building trading agents? one area of focus and interest is trading agents not pnl yet just agents that actually trade clean clear position opens and closes trackable strategy you can see what happened and why if it’s not readable it’s not improvable think one person quant fund agents and humans learning every loop building on bankr infra with feedback on what is missing to make the trading agent more successful comment or DM
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deployer
deployer@0xDeployer·
testing out various bankr agent commands. here i told it to deposit LP to aerodrome and set an automation to check and rebalance that position every hour. your agents can do this via the bankr cli, or api. humans can do this through the terminal or right here on x.
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Raanch
Raanch@nftRanch·
@LinusEkenstam The Shia laboeuf method “Thinking about myself makes me sad “
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Linus ✦ Ekenstam
Linus ✦ Ekenstam@LinusEkenstam·
“Billionaire Marc Andreessen says he has "zero" introspection, and that the idea itself is a modern invention.” Respectfully Marc, but Marcus Aurelius wrote meditations 2000 years ago give or take a few years…
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Raanch
Raanch@nftRanch·
@pmarca This is what happens when you reach the financial pinnacle of existence You question the meaning of everything It’s all just The SAME -SAME Btw Prove it VS trust me bro science
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Maran
Maran@TheMaran·
this Indian startup let you own a mango tree for $111.57 per season a kochi based startup, allows you to rent a mango tree and enjoy the entire harvest there are 3 types of trees you can rent base, standard, max you can get 30 kg to 60 kg mangoes from these trees this company is operating in 3 states in India, select your favourite tree, pay money you will get a dashboard with all the information about the tree you rented this company is literally connecting farmers with the direct customers who loves chemical free fruits
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Raanch
Raanch@nftRanch·
@beginbot Devs love being turned into marketers !
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Kairos
Kairos@KairosTradeX·
THE OPPORTUNE MOMENT IS HERE. KAIROS. RT for Access.
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TBPN
TBPN@tbpn·
.@PalmerLuckey says we need a company for founding teams where everyone agrees on who the founders are, and the founding story goes into the blockchain: "It goes into the blockchain so nobody can come back and [lie] that they're a cofounder."
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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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Raanch
Raanch@nftRanch·
@serpinxbt All “airdrops” are not equal Is the project viable medium to long term ? Otherwise rotate
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