Daniel Barabander pfp

Daniel Barabander

@dbarabander

125 Following
959 Followers
Daniel Barabander pfp
0 reply
3 recasts
14 reactions
Daniel Barabander pfp
1 reply
2 recasts
6 reactions
Daniel Barabander pfp
Uber’s driver network is closed. That’s what makes it so hard for new entrants - a competing ridesharing app without supply can’t offer a useful experience. That’s the cold start problem created by closed supply. Now imagine if Uber’s supply were open: - A new app could piggyback on it, solve the cold start problem, and compete on the demand side. - Eventually, it could aggregate so much demand that it could vertically integrate and attract its own drivers. - At this point, it could sever its relationship to Uber and siphon away riders and drivers from these incumbents. That’s crypto. Supply is open by default. New apps build on top of incumbents, win users, and then launch their own stack - only to be disrupted the same way. This recursive loop defines crypto’s competitive dynamics. @jacklongarzo and I call it the fractal pattern. Here’s how it works - and how to defend against it: https://blog.variant.fund/fractal-protocols-strategies-defending-against-open-supply-in-crypto
0 reply
4 recasts
28 reactions
Daniel Barabander pfp
0 reply
1 recast
5 reactions
Daniel Barabander pfp
0 reply
1 recast
4 reactions
Daniel Barabander pfp
0 reply
0 recast
8 reactions
Daniel Barabander pfp
1 reply
1 recast
19 reactions
Daniel Barabander pfp
0 reply
1 recast
6 reactions
Daniel Barabander pfp
1 reply
2 recasts
8 reactions
Daniel Barabander pfp
One way to think about the case for crypto x AI is it’s a bet on horizontal v vertical scaling. Big tech has mastered vertical - hoard compute, data ,and buy out competitors and vertically integrate them - form a monopoly. Crypto horizontally scales - high variance in contributions, massive consumer compute, data, etc. Bitcoin as the largest compute network shows horizontal can outcompete vertical. But the contributions are relatively deterministic (does this nonce hash). When things are deterministic it’s easier to scale infinitely horizontally: determinism —> easy verifiability —> permissionless —> anyone can contribute. That’s how you get anyone with a GPU to contribute compute. The hard part about AI is a lot of useful work in the real world that needs AI is not so cleanly verifiable. So we have two options to make this scale:
3 replies
1 recast
10 reactions
Daniel Barabander pfp
0 reply
0 recast
2 reactions
Daniel Barabander pfp
2 replies
4 recasts
15 reactions
Daniel Barabander pfp
3 replies
10 recasts
27 reactions
Daniel Barabander pfp
1 reply
11 recasts
32 reactions
Daniel Barabander pfp
0 reply
0 recast
3 reactions
Daniel Barabander pfp
2 replies
36 recasts
95 reactions
Daniel Barabander pfp
0 reply
1 recast
3 reactions
Daniel Barabander pfp
0 reply
3 recasts
14 reactions
Daniel Barabander pfp
0 reply
0 recast
2 reactions
Daniel Barabander pfp
0 reply
2 recasts
7 reactions