- Run Voice Activity Detection for better timestamp output
- Transcribe with Whisper
- Run Forced Alignment to get per word timestamp
- Create better segmented SRT
- Translate(with multiple APIs - implemented DeepL, Google Translate, Baidu and a couple more)
A wallet and mining client that uses 100% of your GPU if "idle".
But of course mining it's opt-in, and that's good because everybody reads all the text on a prompt before they mindlessly click "Confirm".
1. The authors are quoting exact performance metrics and limits, which is making the article more about "Amazon Lambda" rather than "Serverless Computing".
2. The authors mentioned a "15-minute lifetime" problem. Although it could be concerning that cache may be invalided sooner than running the same code on other infrastructures, a use case like this could easily migrated by using container. Not to say this number could be adjustable - this is a limit that is set by AWS rather than some theological limit. Thus using this problem to attack the serverless computing idea would be unfair.
3. The authors mentioned low IO problem. As public cloud is a shard infrastructure, it is only reasonable for end users to assume a baseline IO performance when using the platform - and this applies to any service that any public cloud provides, currently and in the future. It would be more beneficial if AWS could reveal the baseline performance in number, as this would assist developers with planning.
4. The author attacked serverless computing about its "Communication Through Slow Storage". This is probably not avoidable and is common practise in modern developing and should not be used to attack the idea of serverless computing. AWS do provide u-12tb1.metal EC2 server that comes with 12TB of RAM for this use case, though.
5. The author mentioned that currently serverless has "No Specialized Hardware". Again, this is a attack on AWS Lambda rather than serverless computing, and is a particular function that could be easily added. (I have a feeling that Cloud TPU could be used with Google Cloud Function, but it's a assumption.)
6. The authors also attacked that "FaaS discourages Open Source service innovation." Supposedly one can only imagine that more software projects would be PORTED TO serverless, and there should be no real issue running them as standalone application. I lost track of what the authors are trying to argue.
