cashkit

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cashkit

cashkit

@cashkit_token

A community built on Green Town Social. 🌿 Growing with the @GreenTownSocial ecosystem.

France Katılım Nisan 2024
111 Takip Edilen98 Takipçiler
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cashkit
cashkit@cashkit_token·
Every project has holders. We have citizens. Every project has a community. We have neighbors. Every project has a website. We built a town. 🌿 Green Town. 🐱 Home of CashKit.
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cashkit
cashkit@cashkit_token·
@bennpeifert Everyone creates something important for themselves. We wondered what happens when you build the town first. 🐈
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cashkit
cashkit@cashkit_token·
@PraxMedia $CASHKIT Holders? We call them citizens. 🌿🐱
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Prax
Prax@PraxMedia·
Need a memecoin that has: • Low market cap • Strong community • Strong holders What’s the ticker ?
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pow🧲
pow🧲@traderpow·
YES
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cashkit
cashkit@cashkit_token·
@RobinHubHB While others wait, we build. Robinhood Chain → Green Town → CashKit. 🌿
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RobinHub
RobinHub@RobinHubHB·
Trading on Robinhood now
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cashkit
cashkit@cashkit_token·
@lefrog_69 While others wait, we build. Robinhood Chain → Green Town → CashKit. 🌿
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le frog
le frog@lefrog_69·
Looks like $cashcat bottomed, we’ll be ranging for a few days/weeks until RH listing. preparation = seperation
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Cred
Cred@CryptoCred·
You missed Cash Cat? You're literally never going to make it. You had a chance to materially, meaningfully change your life and the lives of those around you. Instead, your hubris, laziness, and idealistic moral pearl-clutching towards the trenches blinded you to the opportunity. "There'll be another," you tell yourself. No, there won't. There will literally never be another opportunity to make money in financial markets or any type of speculation. It's over. They'll use your name to tell horror stories to misbehaving children in the slums of the permanent underclass. Good luck.
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Haseeb >|<
Haseeb >|<@hosseeb·
This argument by @deanwball is being badly misunderstood. It's OK to disagree with it, but first you have to actually understand what he's saying. He's saying: releasing the weights for a frontier-level model is effectively dumping. Dumping is when you sell a product at significantly below cost in order to corner market share. It's illegal. The reason: dumping results in short-term consumer surplus, but long-term it prevents the formation of a competitive market and discourages capex outside of the dumper. Standard Oil famously did this in order to consolidate the oil market before it was broken up. So why is he claiming releasing the weights of a frontier level model is basically dumping? Isn't he just describing open source? His argument: it's not financially sustainable to train a frontier model and release the weights. In the long run, you will not be able to internalize enough of the gains given the cost of training a frontier model, because neoclouds and other inference providers will be able to outcompete you at actually serving the model. It costs an astronomical amount of money to train frontier models, and if everyone else can serve them, you don't capture enough of the surplus to pay for the training and R&D. It's not like normal open source when you build some software and then release it and sell services on top of it. The amount of capex required for frontier-level models is an order of magnitude higher than normal software, which is why doing this at frontier level is so economically irrational. Right now the Hong Kong stock market is ebullient enough that Chinese AI companies are not getting punished for the fact that they're all deeply, deeply unprofitable. Releasing model weights is great marketing, intellectually appealing, and strikes fear into the hearts of their opponents. We can assume the status quo continues for a while because of the AI supercycle. But eventually the AI market will correct, the Hong Kong market will dump, and suddenly these Chinese labs won't be able to afford to training super expensive models without internalizing more of the gains. But what if China, seeing that this strategy is successfully kneecapping the US lead (by discouraging further capex and lowering valuations), says no--don't stop. And so the Chinese government starts buying up the shares of these companies and demanding that they continue releasing frontier-level weights, profitable or not. In that case, it becomes a genuine space race. For-profit companies cannot continue to compete on either side. US labs valuations fall, and the White House realizes that to keep their advantage in the AI race, they cannot rely on the free market to maintain their lead. They nationalize the labs and fund them off government subsidies. Now you have government-controlled and distributed models on both sides. That's what Dean is calling the "dystopian hellscape." The best analogy is drug development: if China were to sell American drugs back to us really cheaply, that would result in a large short-term consumer surplus. Cheap Viagra and Ozempic is obviously great. But in the long run, this would discourage investment in developing new drugs. That's the sense that Dean is saying it's long-term "decel." Now, I happen to disagree with Dean. I think the consumer surplus of having frontier-level open weight models is huge, even at the current capabilities. I also think China is going to defect from this strategy soon (there's been reporting along these lines, that Beijing will stop allowing large models to be open-weight; I think there are other reasons for this aside from competition). I also suspect that nationalization of labs is inevitable as they take on more geopolitical and cyber capabilities. But he's not wrong--releasing frontier-level weight models is weird. The question of how long this market will remain profit-driven is a very coherent question to ask.
martin_casado@martin_casado

"Open-weight models are inherently decelerationist" .... this is a grossly incorrect statement with no supporting arguments or logic that is counter to the long arc of learnings of the industry over the last 50 years. What a stupid thing to say.

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nic carter
nic carter@nic_carter·
I went from "i'm never getting tricked into getting excited about England ever again" about 30 minutes ago to "we're nailed on favorites to win in 2030" now
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6529
6529@punk6529·
6529 ~1 month old 🥳 Some of you know me from somewhere else 👀 My views on NFTs in the thread below
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cashkit
cashkit@cashkit_token·
@CryptoHayes Hey @CryptoHayes 👋 Most meme coins stop at memes. We built a website, NPCs, quests, easter eggs and an entire village on Robinhood Chain. Maybe this is how communities should compete. Robinhood Chain → Green Town → CashKit. x.com/cashkit_token/…
cashkit@cashkit_token

🏴 OFFICIAL CASHKIT BOUNTY #001 The little cat has a mission. Bring @vladtenev to Green Town. If Vlad joins Green Town, replies to CashKit, or notices our little town... Reward: 5,000,000 $CASHKIT.

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Ignas | DeFi
Ignas | DeFi@DefiIgnas·
Just don't trade $ARB on only fee accrual as they are still relatively low especially if RH chain fails to sustain the same memecoin rally
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nader dabit
nader dabit@dabit3·
Since you don't need a frontier model typing every line of code, we can optimize subagents beyond just cost. /lightning skill offloads implementation to 1,000 tok/s subagents, resulting in ~5x faster execution. it keeps frontier (or default) as the planner + reviewer, hands implementation to SWE-1.7 Lightning from @cognition. Cool thing about this pattern is that on larger or fanned-out work, it compounds! Works with @DevinAI CLI + Desktop. github.com/dabit3/lightni…
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Zeneca🔮
Zeneca🔮@Zeneca·
The algo fix was great and for the first day or two my replies were filled with friends and i thought the era of infinite ai slop bot replies onky might be behind us Seems I was wrong, and many of my posts are back to getting 90% slop replies I guess this is the new internet
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cashkit
cashkit@cashkit_token·
@MarioNawfal Hey @MarioNawfal 👋 Some of the best stories in crypto begin with communities. Ours is called Green Town, built on Robinhood Chain, where CashKit is growing every day. We'd love for you to take a look. 🐱🌿 x.com/cashkit_token/…
cashkit@cashkit_token

🏴 OFFICIAL CASHKIT BOUNTY #001 The little cat has a mission. Bring @vladtenev to Green Town. If Vlad joins Green Town, replies to CashKit, or notices our little town... Reward: 5,000,000 $CASHKIT.

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Mario Nawfal
Mario Nawfal@MarioNawfal·
🇮🇱🇮🇷 Trump stopped a 50 plane Israeli strike on Iran with pilots already in their cockpits, and the plan is still sitting there loaded Three to four weeks ago, roughly 50 Israeli jets were set for a massive strike on Iran, some pilots already strapped in, when Trump called it off at the last moment. Israeli journalist Amichai Stein carried the story: the plan, he says, still exists, the targets are still standing, and Israel wants to finish the mission. The buildup around him points the same way. More than 60 American refueling aircraft have landed in Israel with 16 F-16s on the way. Which means the machinery for a much bigger air war is being assembled on Israeli soil. His trigger logic is dark and simple. Israel wants in, and it takes one of two things: Iranian fire landing on Israel, or Washington asking. Either one "opens the game completely," because Israel flies without limitations, Tehran included, and the US gets dragged the rest of the way. And the exit? He sees none. The MOU was already the minimum deal in existence, nothing smaller is left to sign, and after two dead American soldiers Trump cannot walk anything back. His forecast, delivered from Jerusalem: all out war. @AmichaiStein1
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cashkit
cashkit@cashkit_token·
@milesdeutscher Hey @milesdeutscher 👋 We've been building Green Town on Robinhood Chain, created by @NancyDubey_. CashKit is one of the projects bringing the town to life through an active community. Hope you'll check it out. 🌿 x.com/cashkit_token/…
cashkit@cashkit_token

🏴 OFFICIAL CASHKIT BOUNTY #001 The little cat has a mission. Bring @vladtenev to Green Town. If Vlad joins Green Town, replies to CashKit, or notices our little town... Reward: 5,000,000 $CASHKIT.

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Miles Deutscher
Miles Deutscher@milesdeutscher·
This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money
Miles Deutscher@milesdeutscher

x.com/i/article/2077…

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