Eve of AGI: Continual Learning and Compaction to Disrupt Fine-Tuning
akbirthko · x · 2026-08-13
AI researcher krandiash argues that extensive custom post-training work today will soon be deprecated by fundamentally smarter base models and continual learning. He predicts a 10-100x intelligence boost from these capabilities, making heavy compute spent on customization a poor investment.
This shift mirrors the transition from fine-tuning BERT variants in 2019 to LLMs solving tasks via in-context learning with far less data and effort. Another developer echoed this, noting that the future trajectory of context compaction techniques will be a crucial variable in realizing this workflow disruption.
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