Hugging Face CEO Predicts Local And Open Source AI Will Win

@TheAhmadOsman Its moving so fast its hard to keep up. Have to rely on obsidian to take notes for later

@TheAhmadOsman By the time i understood how much is this important i even ditched my Claude subscription.

@beffjezos Yes it is

$TAO

The vibe is shifting.

Decentralized intelligence is making a comeback.

@beffjezos How do we fund this, though? The main advantage centralized labs have is economies of scale

@SlimTradeyBaby @TheAhmadOsman agent mcp sevrver to obsidian.

daily notes schedule through claude that looks at all my local repos and creates summaries of what i did the previous day.

Do it right and they make little connections/relations:

Centralized models hit a wall in domains where data is sensitive, fragmented, and high-stakes (like drug discovery). The real leverage now comes from systems that can train powerful models where the data already lives, without forcing it into a single pot. Client-owned, federated approaches are of course more private but crucially they’re often higher performance because they train on the actual distribution of real-world data, not sanitized public benchmarks.

@beffjezos Bittensor

@TheAhmadOsman How one can have local AI?

@TheAhmadOsman @actualinc

@SlimTradeyBaby @TheAhmadOsman memory seems fine. haven't really bothered looking into it too much. mcp server and claude manage the navigation and lookup. i just briefly describe what im looking for.

@TheAhmadOsman It definitely has that feel in the air. Something special is happening.

@no_stp_on_snek @TheAhmadOsman whats your setup for that bro? im having trouble making my fully automated/learning secret recipe?

@TheAhmadOsman SOTA open weights by 2027-Q2 looks like the null hypothesis.

beyond that… open source might even outclass proprietary models (kinda like CISC beat RISC in the 90s because economies of scale mattered more than raw technical utility to drive cost down)

@TheAhmadOsman I hope you’re right, but I really struggle to see how. Who’s going to pay for all the inference that goes into training new advanced models?

@beffjezos Bittensor

@ChrisVolkernick @beffjezos The economy of scale for local hosted is you don't need 2T param models lol, the net demand on resources is significantly less.

@no_stp_on_snek @TheAhmadOsman thanks bro looking into it now, that map is amazing, how does it navigate it all memory wise etc

@TheAhmadOsman whats this "win" i always see are they in a race or something😂

@TheAhmadOsman I definitely hope so. Now I just need some money to run it locally 🤣