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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.”

Delphi Digital

1,567,382 subscribers

22,167 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

7 Kommentare

Profilbild von Delphi Digital

Delphi Digitalvor 2 Monaten

Watch the full episode here.

Profilbild von Maria García

Maria Garcíavor 2 Monaten

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

Profilbild von The AI Therapist

The AI Therapistvor 2 Monaten

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

Profilbild von Qmatrix

Qmatrixvor 2 Monaten

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.

Profilbild von João Capital

João Capitalvor 2 Monaten

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

Profilbild von Crypto Hôm Nay

Crypto Hôm Nayvor 2 Monaten

Mở nguồn AI tốt cho nhà cung cấp inference.

Profilbild von RaoulDuke

RaoulDukevor 2 Monaten

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

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