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Gergely Orosz shares insights from conversations with people at AI labs like OpenAI and Anthropic, noting that engineers closer to production code are less convinced AI will fully solve software engineering.
The tweet points out that evaluating an AI lab should focus not just on SOTA models but on the "fluff paper rate", and comments on the culture issues within Meta AI and the contribution of Alexandr Wang replacing Yann.
A reflective post on how quickly opinions in AI change, cautioning against rigid beliefs and emphasizing adaptability over perfect prediction.
Ethan He shares his insights from a Latent Space podcast, discussing key ideas about video generation, world models, LLMs, agents, continual learning, and the next frontiers in AI.