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A comment on Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM. Parent comment

Re:Show HN: Mini-AGI – Dynamic continual learning model trai... by volotat on Monday September 21, 2026 @09:48AM (#49787261)
For sure. As it will pass through the whole corpus I will share the weights, run it through established benchmarks for small models and share all of this as an update. I am also planning on making a Youtube video explaining in detail how it works on a deeper level and the whole reasoning behind why it is built the way it is. But no promises here.
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Re:Show HN: Mini-AGI – Dynamic continual learning model trai... by fuzzfactor on Monday September 21, 2026 @07:38PM (#49794900)
Nothing to be ashamed of if you end up pushing back the release date of your feature film :)

I had ideas not completely unlike this so long ago, but one big difference can be summed up in one of your parameters.

>Directories are walked, binaries are skipped . . . and each file is read from its beginning to its end because a document has an order.

For me it was binaries being walked because text and anything approaching a language model was so much further out-of-reach having such limited computer power.

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