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Are there any open source models in this space?
Look up UVR (Ultimate Vocal Remover). I believe most of the models predict frequency masks to split out stems.
Obligatory: https://youtu.be/ihlN5nf1qew
Based CEO
“Conservative” meaning pro-Israel.
Any real world app is going to be waiting on, primarily, IO. These benchmarks that just hit an endpoint that returns a simple object are useless.
If you ask it to help you write a bot/cheat for a video game it will usually refuse due to breaking the games terms of service, etc.
Since these were earlier this year in March, they’re just memory holing it?
Is there anywhere to see examples of the insecure code generated by an LLM?
Bongino use to be Secret Service, tasked with protecting Bush then Obama, for what it’s worth.
cringe
Larry will still be able to buy up social media and news companies with his son to steer them towards shilling for Israel.
I wonder if text embeddings and semantic similarity would be effective here?
Great, another deprecation to address in my EKS clusters :(
According to those benchmarks, GPT-5 isn’t far off from Kimi in inverse sycophancy.
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Are there any open source models in this space?
Look up UVR (Ultimate Vocal Remover). I believe most of the models predict frequency masks to split out stems.
Obligatory: https://youtu.be/ihlN5nf1qew
Based CEO
“Conservative” meaning pro-Israel.
Any real world app is going to be waiting on, primarily, IO. These benchmarks that just hit an endpoint that returns a simple object are useless.
If you ask it to help you write a bot/cheat for a video game it will usually refuse due to breaking the games terms of service, etc.
Since these were earlier this year in March, they’re just memory holing it?
Is there anywhere to see examples of the insecure code generated by an LLM?
Bongino use to be Secret Service, tasked with protecting Bush then Obama, for what it’s worth.
cringe
Larry will still be able to buy up social media and news companies with his son to steer them towards shilling for Israel.
I wonder if text embeddings and semantic similarity would be effective here?
Great, another deprecation to address in my EKS clusters :(
According to those benchmarks, GPT-5 isn’t far off from Kimi in inverse sycophancy.