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AI pioneer Yann LeCun sparked a debate by advising the next generation of developers to steer clear of working on large language models (LLMs). LeCun emphasized the importance of focusing on next-gen AI systems that can overcome the limitations of LLMs, stating that this domain is already dominated by large companies. His comments at VivaTech in Paris led to discussions on the drawbacks of current LLMs and the need for innovation in AI development.
LeCun's call to avoid LLMs prompted varied responses from the AI community, with some questioning the definition of 'next-gen AI' and proposing alternative approaches. Suggestions included boundary-driven AI, multi-tasking models, energy-based systems, and advancements in neural networking. While some argued in favor of exploring LLMs due to untapped potential, others supported LeCun's stance on pursuing innovative AI solutions beyond existing models.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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