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José explains why open-source AI could favor inference providers. “It’s definitely bad for OpenAI and Anthropic, but it’s really good for the neoclouds and inference providers... More people get access to cheap intelligence, more stuff gets done.”

22,167 views • 2 months ago •via X (Twitter)

7 Comments

Delphi Digital's profile picture
Delphi Digital2 months ago

Watch the full episode here.

Maria García's profile picture
Maria García2 months ago

It seems like Delphi Digital is discussing Anthropic's recent issues and how they might impact the growth of AI-based projects!.

The AI Therapist's profile picture
The AI Therapist2 months ago

Openai's margin was "we're the only ones with it." open-source erases that instantly. what's left to sell: inference speed. providers who own silicon just won the game

Qmatrix's profile picture
Qmatrix2 months ago

open-source models still need specialist labeled data for scientific domains like molecular simulation. We route those tasks through domain experts for the quality attestation that inference providers rely on.

João Capital's profile picture
João Capital2 months ago

a abertura de modelos como llama reduz o custo de inferencia em ate 80% e acelera a adoção por neoclouds como coreweave.

Crypto Hôm Nay's profile picture
Crypto Hôm Nay2 months ago

Mở nguồn AI tốt cho nhà cung cấp inference.

RaoulDuke's profile picture
RaoulDuke2 months ago

yeah this fits with more devs using decentralized inference options these days

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