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70 karma · joined October 21, 2018
Of course, you either pay with money or with your data. But still it's a bit ironic.
Companies race towards having the shiniest chatbot or _virtual assistant_, without fully understanding all the implications and customer needs. Everyone wants to have their brand name associated with being "the first" or "the best" in their segment for providing such technology, no matter how trivial it may seem -- e.g. as the article points out: just wrapping already available info in a dialogue.
Given these incentives and high stakes, it's also hard to "exit" the bandwagon, due to various factors like reputation, costs, and the uncertainty around your competitor not doing the same.
[1]: https://danielmiessler.com/p/moloch-the-most-dangerous-idea
The other day I was frustrated with several Linux quirks my laptop was experiencing and decided to give Windows 11 + WSL2 a try.
The sheer amount of bloat, sneaky privacy settings, ads, clunky UI etc. literally make Windows unusable. I was willing to put up with the switch (leveraging WSL2), but the entire operating system feels like a browser with toolbars from the 2000s.
Maybe I am being naive, but this is not telling too much as there is no metric attached to it, so the average user cannot (at least immediately) gauge how impactful this improvement is.
I think it would be beneficial to have benchmarks for assessing the factuality of large language models. Now, several open questions are:
- What is the minimal (necessary) set of questions it must contain?
- Can it ever be sufficient?
- What is the appropriate metric to use?
Why not politely talk to your manager and let them know that this behaviour is not appropriate / productive?
[1] https://aws.amazon.com/ec2/instance-types/g4/
[2] https://lambdalabs.com/deep-learning/laptops/tensorbook/cust...
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