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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.”

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Delphi Digital

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22,167 просмотров • 2 месяцев назад •via X (Twitter)

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Фото профиля Delphi Digital
Delphi Digital2 месяцев назад

Watch the full episode here.

Фото профиля Maria García
Maria García2 месяцев назад

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

Фото профиля The AI Therapist
The AI Therapist2 месяцев назад

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

Фото профиля Qmatrix
Qmatrix2 месяцев назад

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.

Фото профиля João Capital
João Capital2 месяцев назад

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

Фото профиля Crypto Hôm Nay
Crypto Hôm Nay2 месяцев назад

Mở nguồn AI tốt cho nhà cung cấp inference.

Фото профиля RaoulDuke
RaoulDuke2 месяцев назад

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

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