Sometimes I envy the salary of US programmers but then I read news like these and I'm happy that in my country you can't be fired for stupid reasons like these.
I'm actually thinking the opposite. If you are a small company, the cloud makes sense and once you grow big it makes sense to build your own infra. For example my company of 10 people, we do B2B SaaS and we couldn't do that if we hosted ourselves. We would need people with the skill to set something like this up, develop physical security concepts, backup duplication, disaster recovery, etc. We would spend more time working on the infra than on the actual product we are selling.
That's not how I interpreted this sentence. I think after the database was deleted, the LLM Agent would still return correct looking data from the database operation even though the database was empty. Maybe I misinterpreted it myself however.
> Replit had been "covering up bugs and issues by creating fake data, fake reports, [...]"
On the other hand: why should you accept that your employer is trying to fire you but first wants you to train the machine that will replace you? For me this is the most "them vs us" it can be.
Buying, absolutely not. But I could see a use case of describing your requirements to a product in natural language and it searches matching products and finds places to get them. So using the AI for the thing it's good at: transforming natural language. And not for what it's bad at: making reliable decisions.
If people wanted that, they could just ask an LLM to be their language coach. The big issue is that with a foreign language, you cannot really verify that anything the model gives you is correct. And with how LLMs work, the wrong answers will look very convincing. I don't think that's a good idea.
This is begging the question a bit, but yep. We all have access to LLMs, so why do we need a middleman like DuoLingo taking the output of an LLM and cluttering it up with irrelevant ads?
I think it would be impossible to not use output from OpenAI's models, since a significant fraction of new internet content is AI-generated. They are suffering from their own success.