Is this move a small clue that social networks are shifting/have shifted away from the graph based database search as a driver of recommendations? Likely in favor of LLM mediated, whole-data-based, recommendations/linking/connecting? That is clearly happening, I just can't tell if this is connected to the shift.

Is this move a small clue that social networks are shifting/have shifted away from the graph based database search as a driver of recommendations? Likely in favor of LLM mediated, whole-data-based, recommendations/linking/connecting? That is clearly happening, I just can't tell if this is connected to the shift.
https://x.com/elonmusk/status/1801045558318313746

Web3 AI/compute could own synthetic data generation. It may be the biggest opportunity in web3 for AI projects. Inference for synthetic data compute pipelines can be distributed, works fine on heterogeneous infra, and will have massive demand in the coming years:

Web3 AI/compute could own synthetic data generation. It may be the biggest opportunity in web3 for AI projects. Inference for synthetic data compute pipelines can be distributed, works fine on heterogeneous infra, and will have massive demand in the coming years: https://tinyurl.com/ysj8abh7

Once Apple lands on the right onboard model to deploy to iPhones, we can expect a new AIKit that is can run an on-device models (or handle more complex requests remotely). At that point, every app developer can use AI from within their code, instantly. What happens then?

riding a bike, talking about web3, or building textile.io & tableland.xyz.

andrewxhill

@andrewxhill