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AI research is splitting into groups that can train and groups that can only fine tune

Reddit r/artificial / 4/20/2026

💬 OpinionSignals & Early TrendsIdeas & Deep Analysis
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Key Points

  • The article argues that current AI progress is primarily shaped by access to large compute rather than new algorithmic breakthroughs.
  • It claims that only a small number of organizations can afford the compute needed to test major AI ideas end-to-end.
  • The author suggests that the broader research community is increasingly limited to working with smaller resources, such as fine-tuning existing foundation models.
  • The post frames this shift as a division between groups capable of training large models from scratch and groups restricted to fine-tuning.

I strongly believe that compute access is doing more to shape AI progress right now than any algorithmic insight - not because ideas don't matter but because you literally cannot test big ideas without big compute and only a handful of organizations have that. everyone else is fighting over scraps or fine tuning someone else's foundation model. Am i wrong or does this feel accurate to people working in the field? Curious to know what you think

submitted by /u/srodland01
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