Former Researchers Launch AI Startup Humans& With $5 Billion Valuation

Eric Zelikman, an ex-xAI researcher, launches AI startup Humans&, seeking to raise $1.00 billion with co-founders from Google and Meta, targeting a $5.00 billion valuation.

The venture aims to revolutionize AI with human collaboration models, needing significant computational resources, yet lacks immediate crypto market impact or disclosed products.

Humans& Raises $1 Billion Targeting $5 Billion Valuation

Eric Zelikman and his team have founded Humans&, an AI startup that emphasizes human-machine collaboration. This venture is co-founded by significant figures from Google, Meta, and others, and aims for a substantial $5-billion valuation. Reports state the company is raising $1 billion to advance its novel AI training paradigms.

AI’s capacity to understand individual preferences constitutes a major change, with Humans& proposing a model that utilizes greater computing power for more personalized interaction. This development suggests a significant shift from traditional AI models, potentially changing how AI interacts with users.

The announcement has garnered attention from the technology sector, although reactions from government and crypto stakeholders remain limited. Key figures have not issued statements on this launch.

Future of AI: Personalized Interaction and Market Impact

Did you know? AI startups focusing on personalized interaction and human-machine collaboration are increasingly valued, with recent projects leading to significant computing advancements.

Bitcoin (BTC) reports a price of $109,528.80, as per CoinMarketCap. Its market cap stands at 2.18 trillion. The 24-hour volume reached 59.85 billion, a decline of 14.03%. BTC witnessed a 1.03% rise in 24-hour changes, though it dropped by 7.97% over 30 days.

Expert insights from the Coincu research team suggest that humans-focused AI models might drive future technological investments. Financial markets may see reshaping, although immediate crypto impacts are negligible, pending further developments in AI integration and compute demands.