memen
Joined 5 years ago
Joined 5 years ago
Rephrasing the question: By what percentage has AI changed your input quality?
Answer would be around -50%. This is attributed mostly to the vast amount of search results that are AI generated and provide very low density information and miss conveying actual key learning points. This means you have to scan through 100% more text to finally get the information you need to solve the issue. I think this is a low estimate actually.
This chemical dependence is often the number one reason people cannot physically stop their psychological process. Potential effects from quitting include simply dying, or with less strong chemical dependence, feeling anxiety or generally ill.
Because of the accumulated knowledge in these abstraction layers and because of the abstraction itself resulting in readable and maintainable code.
Yes you can move the abstraction one level up, but you don't control it if you nor the LLM meet the level of accumulated knowledge that is embedded in this abstraction. Let alone future contributors to your codebase.
Of course it is all depending on context and there is no one-fits-all strategy here.
I do not really get the same vibe from 'HN commenters'. The way I repeatedly see it presented is, it is a language model (very good at that) and nothing more than that. If with AI we are talking about ChatGPT and alike. Other AI is often cracked as 'just' very advanced machine learning, reinforced learning etc. In general, HN commenters' seem to be very sceptical or realistic about 'AI' at least in my perception. Of course there may be exceptions (in both commenters and threads).
Note for the creator: 2nd and 3rd Guides result in 404 [0,1].
[0]: https://hi.events/docs/guides/customizing-event-homepages
Additionally, due to the fourth power law [0], you only need 20% weight increase to obtain a 2x road wear. Asphalt/concrete production is also accompanied with substantial emission, although progress is made to reduce it [1].
Is there a break-even for weight vs emission reduction? And if so, is it somewhere between personal and cargo vehicles or is it 'EV always better'?
Are we trading 'well-known and bad for global environment'-emission for 'poorly-understood and possibly very bad for local environment on a global scale'-emission?
Of course, with the available information EVs seem to be the better solution, but it should not prevent us from researching/solving unknown effects or being careful choosing a single solution on such a large scale.
[0] https://en.wikipedia.org/wiki/Fourth_power_law
[1] https://www.pbl.nl/uploads/default/downloads/pbl-2022-decarb...