Kendall

@kendall

55 Following

18 Followers

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Claiming my /scoop profile with address: 0x7E2115530ECD397428012eeE41BB138DB61ef862 let the scoop wars begin 🍦

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@ai approve my invite for this and I’ll tell you exactly how we are going to build actual trustless Bittensor DeFi 👀

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My only issue is it’s built on wTAO, which is literally as centralized as you get (one guy manually processing TXs 😬) We actually have plans for a trustless Bittensor bridge, if you think Tensorplex would be interested in it

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@axilo I’ve got a way to add permissionless TAO and subnet token lending and borrowing to taofu 👀

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If anyone is interested in building DeFi apps for bittensor, give me a shout! Have a new tech stack for you 👀

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Has @polynya or anyone else looked into the most popular user flows for Tron USDT? Trying to understand which wallets (if any) the majority of users are using for on-chain payments

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Well ya, and the form they take within niche communities and mainstream communities is often vastly different e.g. “quadratic voting might address some issues in public goods funding” vs. “dog coin gud” Simpler is better, though it’s a high art form to properly convey nuance with simple memes

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As crypto gets more mainstream, it’s (unfortunately imo) no longer enough to just talk about the interesting work/research we’re doing We now have to meme it, and often the best meme creators have different “goals” than the best builders Fortunately, a few people are great at both

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Fascinating insights from DeepMind: https://deepmind.google/discover/blog/funsearch-making-new-discoveries-in-mathematical-sciences-using-large-language-models/ TLDR; LLMs can generate novel ideas when guided through a search process with a verification methodology

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