walletconnect

Network of Specialized Small Language Models (#SLMs). We are making AI agents smart and capable of solving real-world problems.

British sailor Tony Bullimore had just made himself a cup of tea and was settling down to eat some crackers and corned beef in the galley of his racing boat, the Exide Challenger, when he heard the sound of a crack. "The snap was like a match," he said in a BBC documentary in 1997. That sound was the keel – the flat blade on the yacht's bottom that kept it right-side up – snapping off. It was then that all hell broke loose. "The yacht turned over in literally a few seconds – three, four, five secon

'The water came in the boat like the Niagara Falls': How a British sailor survived in an upturned yacht for four days

plaza finance

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The DGEN1 by @ethos is hardware for an onchain future

just in time for that last minute christmas shopping

Deep funding combines two ideas:

1. Value as a graph: instead of asking "how much did X contribute to humanity?", ask "how much of the credit for Y belongs to X?"
2. Distilled human judgement: an open market of AIs fills in all the weights, human jury randomly spot-checks them

https://x.com/TheDevanshMehta/status/1867600164502089925

(1) has been a growing paradigm recently, for good reason. Contribution is hard to measure in the abstract: if you ask people how much they would pay to save N birds, they answer $80 for N=2000 and N=200000. "Local" questions like "is A or B more valuable to C?" are much more tractable.

(2) is based on ideas in my info finance post: https://vitalik.eth.limo/general/2024/11/09/infofinance.html#info-finance-for-distilled-human-judgement . Anyone can use any methods (eg. AI) to suggest weights for *all* edges, a human jury does detailed analysis on a random subset. The submissions that are most compatible with the jury answers decide the final output.

https://deepfunding.org/

sourave roy

@souraveroy