Tech’s new arms race: The billion-dollar battle to build AI

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Summary

● Large language models (LLMs) have shown potential for self-awareness, sparking discussions about AI capabilities and costs.
● Training costs for the latest LLMs are reaching astronomical figures, with costs approaching $200 million and projected to be $5 to 10 billion in the future.
● The AI industry is following a similar path to the semiconductor industry, with rising costs leading to domination by a few tech giants able to afford the latest models.
● Smaller language models (SLMs) offer alternatives with lower costs and specific applications, similar to supporting chips in a computer system.
● Rising costs in AI development may limit innovation to a few dominant players, highlighting the importance of supporting smaller, specialized models and promoting open-source and collaborative efforts for democratizing AI development.

Author: Gary Grossman, Edelman
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