Liang Wenfeng says AGI needs continuous learning, not just bigger training runs
zephyr_z9 · x · 2026-07-24
- The post quotes Liang Wenfeng’s investor-presentation remarks that current AI models are unlikely to reach AGI through the current path.
- He argues the trajectory after CoT and agents points toward continuous learning: models should keep learning over long periods, more like humans, instead of only relying on one-shot heavy training.
- The poster also notes a production figure for 950DT of around 400k this year, but the main substance is the strategic view on model development.
Related event: DeepSeek's Liang Wenfeng Pledges Sole Focus on AGI Over Profits(18 posts)→
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