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Dean W. Ball discusses the economic pressures on frontier AI labs, noting that models have a narrow post-release window to recoup costs, and that the massive infrastructure buildout assumes a global market, not just US government-approved companies.
Discussion on how compute access is becoming the primary driver of AI progress, creating a divide between organizations that can train large models and those limited to fine-tuning existing foundation models.