volotat/mini-AGI
View on GitHub ↗ ★ 1,304 Python
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data.
4 mentions on Hacker News by 3 people: 2 stories, 2 comments · first 2026-09-21 · latest 2026-10-24
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Show HN: Benchmarks of continual learning model trained for a month on a laptopstory by volotat · 2026-10-24 · 1 comment
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…to pin down the actual dominant parameters. I also added a pr to fix an issue in the codebase: PR: https://github.com/volotat/mini-AGI/pull/20 What it fixes: a crash in upstream's GradSNR meter (issue #19), a diagnostic that tracks how…
comment by jmatthews · 2026-09-23 · in Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM -
…markdown text is not an algorithm [2]. [1] https://arxiv.org/abs/2301.12530 [2] https://github.com/volotat/mini-AGI/#how-continual-learning-...
comment by synctext · 2026-09-21 · in Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM -
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Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAMstory by volotat · 2026-09-21 · 80 comments