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Comment Re:Honestly doesn't seem that bad? (Score 1) 46

Some are even multimodal LLM. You can transcribe audio using Gemma 4 for example. While it is not the primary purpose of an LLM it has the advantage that it can do more than speech, like describing other sounds and that context a LLM knows that a simpler TTS engine does not know can prevent transcript errors. Every silly error you see in automatic captions that is obvious nonsense can be caught by an LLM. The subtle ones stay subtle, of course.

Comment Re:This Is Why I Ditched Ubuntu (Score 1) 46

unattended-updates should only install security update (except Ubuntu did have some special ideas again ...)
The problem is snap automatically updating if you want it or not. I think without low level tampering (disabling snap basically) you can only pause updates for a limited time, but not disable them. That feels like iOS/Android (yeah, also Android. Try to disable Google play service updates ...) bullshit.

Comment Models failing a new benchmark is good (Score 1) 14

People may say "63% fail rate is bad!" but new AI benchmarks are designed so current models fail, because when all models are in the range 85-90% of old benchmarks, the signal/noise ratio of the benchmark is low. So when this happens you introduce a benchmark that challenges current models to observe future models becoming better.

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