FinnKuhn

Also see https://news.ycombinator.com/item?id=25275350

The thing is I never had a Mac(Book) before, but the hardware at the time was just so much ahead of anything else that I didn't mind that limitation. At least for what I bought it any OS (Windows/MacOS/Linux) would have been totally fine.

I don't know which LLM's are still doing it, but the amount of Posts I remove from r/selfhosted that still have the AI's markdown formatting included is astonishing. At least a few of them per day.

For sales I'm sorry, but I don't think sales companies exist? Sales is usually just a part of another company. Some of those employees might be made redundant as AI products complete part of their work, but that would also happen through OpenAI's or Anthropic's products.

So for both of those I don't see what kind of company they could spin off (excluding the example of a company that does AI implementations as I mentioned that one in my initial comment) that would compete with an existing company. For all of these things offering a product that allows existing companies to replace employees sounds like the more scalable, profitable and flexible strategy.

Can you give me an example where this would make sense, because I just don't see e.g. OpenAI starting a grocery store chain or Anthropic building a wind turbine manufacturing company.

What I can see is that some company's products become useless, e.g. translation tools, as it is something that you can just do within ChatGPT or Claude.

From what I read online that researcher also used a lot of AI to find this approach, so it might just be the one that is the easiest to find for AI agents and the timing would then only be caused by them working on it around the same time.

Do you have any links to further reading on this. I haven't read anything like this and also couldn't find anything in their newsrooms. The only thing I read is that they want to have more people work on implementations.

Apparently they generated them like this: https://xkcd.com/221/

https://en.wikipedia.org/wiki/Federweisser

It is a very interesting read, and I can only recommend it. Some of it is one sentence after another that left me astonished.

[1] https://www.gov.uk/government/publications/public-attitudes-... [2] https://www.reuters.com/legal/government/florida-bans-highwa...

Additionally the trust that the government uses these cameras as intended is apparently higher in the UK than the trust of Americans that Flock will not misuse their surveillance technology.

  Hi Omer,

  I think that is a use case where I'm sure an AI agent does well
  right now, but I have 2 follow-up thoughts based on it and what
  it is means that this is one of the best use case for AI online
  commerce so far.

  My first thought was that this is a quite limited application as
  most of shopping (online & retail) is not spent comparing prices
  and is instead spent on finding what product to buy in the first
  place. I believe this "shopping fun" and exploration of multiple
  options is not going away any time soon as those are some of the
  most attractive parts of the whole experience.

  I also think that the price comparison websites that exist, e.g.
  geizhals.de here in Germany (includes most e-commerce shops, and
  shipping information), are pretty good already and AI only being
  a better version of that would be quite a sad turn of events and
  with ads (and commission systems?) potentially coming to ChatGPT
  in the near future the incentives to find the best price are rly
  misaligned and I have doubts that people will trust results from
  ChatGPT. We already saw this as Google's sponsored links evolved
  to show whoever spent the most for the placement. Paid providers
  without ads and commissions might fare better though.

One quick example: In fashion, Inditex and Shein have about the same revenue (€39.9bn and $41.8bn in 2025), but Inditex is more than three times as profitable. I don't see how there is a demand for agentic commerce that would remove even more control from the customer when shopping. Part of why we shop is for the experience. For B2B producurement platforms like Alibaba I can see the appeal though.

https://www.bundesbank.de/en/tasks/topics/bundesbank-complet...

  I do not think agents need to work continuously. They "just"
  need to work on a project longer than an employee is able to
  work on it for them to be commercially useful. Although this
  does not consider that agents might take a shorter or longer
  amount of time for the same task. Therefore, we should begin
  to compare these in tasks completed during that time instead.