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> opinionated on-device intelligence > Hate speech triage. On-device moderation that flags hateful, abusive and threatening text What could go wrong here?
This also could be ideal if you want your child to play online to have auto-censorship
I wonder why they only support Apple platforms, citing CoreML. Doesn't Android have a similar framework, ML Kit?
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> If I'm happy with the weights you've given me, and I'm not using your compute for inference and not wanting or needing any updates off you, why should you continue getting money off me and my customers? I definitely understand the appeal of the desire to “buy it once”, but I think there are a few issues: - almost no software is static. Look at a package like python Requests and even though it does the simplest thin…
LLMs are static though.
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> If I'm happy with the weights you've given me, and I'm not using your compute for inference and not wanting or needing any updates off you, why should you continue getting money off me and my customers? Because they own the IP and they get to decide the terms of how it’s licensed. This is like a company taking open source software, saying they like the code the community has given them, and asking why they should c…
>Because they own the IP and they get to decide the terms of how it’s licensed. how'd that work out for the rest of IP owners that had their stuff used as training data for use in model creation? was the material they trained on produced in-house?
I know some people want it to be a legal violation, but it’s not.
Also these are audio models, if you hadn’t noticed. The training sets for this type of work is very different than the corpus of scraped GitHub repos.
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LLMs are static though.
In the way that, say, Garmin Maps are static, I agree.
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> If I'm happy with the weights you've given me, and I'm not using your compute for inference and not wanting or needing any updates off you, why should you continue getting money off me and my customers? Because they own the IP and they get to decide the terms of how it’s licensed. This is like a company taking open source software, saying they like the code the community has given them, and asking why they should c…
>Because they own the IP and they get to decide the terms of how it’s licensed. how'd that work out for the rest of IP owners that had their stuff used as training data for use in model creation? was the material they trained on produced in-house?
Philosophical questions don't make sense if you use them to counter argue about something which is a legal issue.
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Thanks!
How was it built?
>accessible via one SDK for Swift, Kotlin, and JavaScript
Lol well let me know when there's a Python SDK and I'll give it a try then. Obviously this isn't a deal breaker if you have a real case, but as someone who is willing to spin something up and try it out if there's a quick "pip install" command, this is getting put back on the shelf for now.