Pax | AI IRL
Region: US
Saturday 15 November 2025 14:59:44 GMT
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Traveling Tech CEO :
Poor analogy. A shop could be inside a skyscraper. Maybe a better analogy is general purpose vs specialty purpose.
2026-08-25 11:19:33
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Belle of El :
I wish people knew this. This AI arms race misses so much and I think it's deliberate to get as much $$$ as possible and gov contracts.
2025-11-15 15:28:17
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DerFlash :
I shipped a product to sort using labels using a OCR model that is 0.7B big. returns in 1.3 on a laptop I had on hand. best jank shit I make 1k a month on
2026-08-30 12:48:08
1
(civ)ilized.mind :
the best implementation of this is the "auto" LLM model that decides which model should be used for the given task
2026-08-28 23:06:27
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Videos4u Byme :
Agreed 👍
2026-01-06 21:53:38
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atazmotive :
Id implore you to dive deeper into works on SHEL, I did my M.S. in Aeronautics and drones in 2018. Automation was bound to fail, you are just calling it exactly as it is, speaking the truth on how we should leverage AI, way ahead brother man, keep it uo!
2025-11-15 15:07:19
2
Popeska + offwhite studio :
Do you see SLMs as an actual performance improvement or just cost/latency improvement? Fine-tuned LLMs seems like it would perform spiritually similar with much less training cost (aside from the original generalized model)
2025-11-16 00:14:29
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Ghost_repo :
Been focusing on these for a few months now. Our teams outside of my company are building something new with these. 👨💻♟️
2025-12-22 03:59:56
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Linda :
Can you do a couple of videos for those of us with only an elementary understanding of what you’re talking about?
2025-11-15 15:18:35
1
Jonathan Acuña - Doctor AI :
Excited to learn
2025-11-16 04:58:14
1
terrygeary :
Slm
2025-12-17 15:28:01
0
#oldschoolvisionary :
i use asi-1 mini. search: Fetch ai and Singularity net. ASI ✌
2025-12-25 14:41:48
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XzenithAI :
What if we stack SML, fine tuning, and RAG in one unified state?
2025-11-15 16:26:39
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obliviousGeek :
slm
2025-11-15 20:50:43
1
Dr3W :
almost like we need a different algorithm and not a one size fits all
2025-11-21 22:01:41
1
cyx.sevn :
do you have examples of small language models that seem to perform well and their use cases? is that something you could talk about generally? do you see these as open source available or are you saying to build/buy small llms?
2025-11-15 15:57:21
1
Yhumzi :
SLM
2025-11-15 15:11:59
1
atazmotive :
Really love your train of thought and appreciate all the insights you provide, you are on to the future.
2025-11-15 15:05:35
1
Zack :
I was thinking about this last night. Narrower problems with tuned models are also safer and can’t go rogue as generalized models
2026-09-22 23:23:26
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Gabopommr :
slm
2025-11-22 03:06:59
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AppleArabTech :
Which university? And do provide join online classes?
2025-12-01 09:44:24
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Aleh promise 🖤🤑 :
SLM
2025-11-29 15:52:19
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williamjameson6 :
so they have this already... I was just thinking how I need one specifically for the industry and not something that tries to do everything I thought I was going to have to like give chat gPT this huge prompt
2025-12-08 05:11:32
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byegnius :
Even small layers, like us.
2025-11-22 03:40:22
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Gilmore Graves :
Can AI make me not feel so sad?
2025-11-19 02:01:36
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