@jgoldieseo: China just dropped an open-source AI model that could change how we run AI agents. It’s called Laya AI. The wild part is that it’s reportedly 50x faster than Big Jev while using just 1GB of memory. That means you can run it locally instead of relying entirely on expensive cloud AI. And it’s completely free and open source. This is especially interesting for AI agents because Laya is built for decision-making, not just generating text. If you want the exact setup and want to try it yourself, grab the link in my bio. Save this because free, local AI models like this are moving incredibly fast. #LayaAI #AIAgents #OpenSourceAI #AIModels #LocalAI #AIAutomation #AgentOS #ArtificialIntelligence #TechNews #OpenSource

Julian The AI Expert
Julian The AI Expert
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Region: PK
Monday 21 September 2026 16:51:31 GMT
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wootwootwootwoot
M :
laya is not Chinese although i think someone from China ported for apple silicon mlx
2026-09-22 04:17:20
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jimgithinji
Jim :
"the most powerful" until the next one drops
2026-09-22 03:34:50
6
socialwithjoey
Joey :
Yes but not as smart thats for sure
2026-09-22 04:39:59
0
king.of.ararat
DSA :
faster but accurate?
2026-09-22 03:48:02
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matheprof
Matheprof :
Jev is an interesting idea but it is just so easy to implement on top of an open weight model.
2026-09-21 21:03:16
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hypnose_et_spiritualite
JC | Hypnose et spiritualité :
can someone explain how this can be useful for content creators? thanks!
2026-09-21 22:17:34
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goblahblah18
Blah blah :
Laya tried it to see. If it can see if a user states they are under 18. It really struggles with my daughter is 12 years old etc. Am I doing something wrong ?
2026-09-22 02:59:28
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swyprmusic
Swypr :
Already
2026-09-21 18:08:52
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badgercheese
Badger Cheese :
Worth checking this against the model card before repeating it. 1. Not Chinese. Laya is from Convai Innovations, a small company in Kasaragod, Kerala, India. Founder is Nandakishor Mukkunnoth. It is on the Companies register there. 2. Not 50x. On one question Laya runs at about 33 ms on a T4 GPU against Jev at roughly 240 to 280 ms, so about 8x. The bigger multiples only appear when you batch questions or run it on an M3 Max, and Jev's numbers were never run head to head by the Laya team. They say so themselves. 3. About 1 GB is right, and yes it runs locally. That part is true and it is genuinely useful. 4. The catch nobody mentions: context. The English model takes 512 tokens and the others 1,024, with only about 320 to 770 of those for your data. A single CV is 1,500 to 3,000 tokens. Jev takes 32,000. Laya cannot read a CV, a contract or an email thread. It can only judge a short summary you have already extracted. 5. The accuracy win is narrower than the headline. It beats Jev on simple 4 or 6 way classification, but on 77 way choice it scores 0.43 against Jev's 0.87, and score questions land at 0.37. The typed-decisions result comes from a checkpoint fine-tuned on that test's own training set. Laya is a good, free, open model that fits in a pipeline. It is not a drop in replacement for Jev, and it is not Chinese.
2026-09-21 17:40:35
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