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Saved February 14, 2026
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Eric Zelikman, a former xAI researcher and Stanford Ph.D. student, is raising $1 billion for his startup Humans&, which aims to create AI models that learn from and empathize with users. He believes current models lack the ability to understand long-term implications and aims to improve collaboration in AI to tackle significant challenges like cancer.
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Eric Zelikman, a leading AI researcher, is raising $1 billion for his new startup, Humans&, which is valued at $4 billion. After leaving xAI in September, Zelikman, who is currently pursuing his PhD at Stanford, aims to develop AI models that connect with users on a more emotional level. His approach seeks to address a significant shortcoming in existing models, which he describes as too cold and mechanical.
Zelikman gained recognition for his research on how language models can improve their conversational skills by understanding the long-term implications of their responses. He argues that many AI researchers miss the mark, focusing on less impactful areas. His vision for Humans& involves creating models that genuinely learn from and empathize with users, rather than treating conversations as isolated events. He believes that by fostering better collaboration and understanding among diverse groups, these models could tackle major challenges, such as finding cures for diseases like cancer.
The funding environment for AI startups is highly competitive, with substantial investments flowing into ventures led by prominent figures in the field. For context, Thinking Machines Labs recently raised $2 billion in a seed round at a staggering $12 billion valuation. Zelikman's current fundraising round is still underway, and details may evolve as it progresses.
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