@MaximeRivest: In 2021, I trained and published a specialized character based deep neural network to classify scientification publicat…

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Summary

The author discusses how their 2021 neural network for classifying scientific publications has been rendered obsolete by newer AI models like Jev and Qwen 27b.

In 2021, I trained and published a specialized character based deep neural network to classify scientification publications, trained on 25 000 000 abstracts, we stop because it was not improving anymore. ONLY 5 years later! That work is completely replaced by Jev and Qwen 27b. Jev is essentially a classifier of anything. this can be very very convenient!
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Cached at: 09/17/26, 10:29 AM

In 2021, I trained and published a specialized character based deep neural network to classify scientification publications, trained on 25 000 000 abstracts, we stop because it was not improving anymore.

ONLY 5 years later! That work is completely replaced by Jev and Qwen 27b.

Jev is essentially a classifier of anything. this can be very very convenient!

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@MaximeRivest: let's make science more accessible! its free and opensource! https://sciencemadereadable.com

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Maxime Rivest launched Science, Made Readable, a free open-source site that rewrites open-access scientific papers into plain language for general audiences, using small fine-tuned Qwen 3.5 models (9B, 4B, 0.8B) that run on a home RTX 3090 and a rented H100. A judge model scored the 9B model at 7.8/10, slightly above GPT-6 Luna (7.5) but below Claude Opus (8.5), at about half a cent per paper.