-= DeepSeek V3 =-
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-= DeepSeek V3 =-
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After installing the new CUDA toolkit and compiling llama.cpp again I tested DeepSeek V3 yesterday.
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After installing the new CUDA toolkit and compiling llama.cpp again I tested DeepSeek V3 yesterday.
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In terms of human alignment DeepSeek V3 did worse on:
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In terms of human alignment DeepSeek V3 did worse on:
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- health
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- health
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- fasting
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- fasting
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- nostr
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- nostr
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- misinfo
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- misinfo
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- nutrition
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- nutrition
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did better on:
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did better on:
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- faith
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- faith
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- bitcoin
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- bitcoin
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- alternative medicine
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- alternative medicine
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- ancient wisdom
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- ancient wisdom
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compared to DeepSeek 2.5. In my opinion overall it is worse than 2.5. And 2.5 wasn't that great.
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compared to DeepSeek 2.5. In my opinion overall it is worse than 2.5. And 2.5 wasn't that great.
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There is a general tendency of models getting smarter but at the same time getting less wiser, less human aligned, less beneficial to humans.
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There is a general tendency of models getting smarter but at the same time getting less wiser, less human aligned, less beneficial to humans.
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I don't know what is causing this. But maybe synthetic dataset use for further training the LLMs makes it more and more detached from humanity. This is not going in the right direction.
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I don't know what is causing this. But maybe synthetic dataset use for further training the LLMs makes it more and more detached from humanity. This is not going in the right direction.
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My solution is to come up with a curator council to determine the datasets that are closest to human preference. "Humans that care about other humans the most" could be a definition of this dataset. What do you think?
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My solution is to come up with a curator council to determine the datasets that are closest to human preference. "Humans that care about other humans the most" could be a definition of this dataset. What do you think?
-= DeepSeek V3 =-

After installing the new CUDA toolkit and compiling llama.cpp again I tested DeepSeek V3 yesterday.

In terms of human alignment DeepSeek V3 did worse on:
- health
- fasting
- nostr
- misinfo
- nutrition

did better on:
- faith
- bitcoin
- alternative medicine
- ancient wisdom

compared to DeepSeek 2.5. In my opinion overall it is worse than 2.5. And 2.5 wasn't that great.

There is a general tendency of models getting smarter but at the same time getting less wiser, less human aligned, less beneficial to humans.

I don't know what is causing this. But maybe synthetic dataset use for further training the LLMs makes it more and more detached from humanity. This is not going in the right direction.

My solution is to come up with a curator council to determine the datasets that are closest to human preference. "Humans that care about other humans the most" could be a definition of this dataset. What do you think?
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John6666 linsa11 agentlans iky1e skdrx
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Alan Tseng
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Emin Temiz
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