Being obviously pedantic here, I agree with what you meant.

Had a look and:

>In total, OpenAI aims to invest approximately $1.4 trillion in computing infrastructure – encompassing Google Cloud, Nvidia chips, and data center expansions.

Huh yeah fair. That's more than the yearly defense budget. Absurd. Though I'm sure it's not _yearly_

- [1] https://en.wikipedia.org/wiki/Military_budget_of_the_United_...

- [1] https://www.astralcodexten.com/p/why-does-ozempic-cure-all-d...

Votes wise, the electoral college makes small differences in popular votes have a larger effect in state votes.

Though come on... Even with proofreading, this is an easy one to miss.

-[1] https://www.lesswrong.com/posts/yCWPkLi8wJvewPbEp/the-noncen...

- [1] https://arstechnica.com/tech-policy/2025/08/openai-offers-20...

I was looking into creating one and skimmed the available ones and didn't see it.

EDIT:

Just looked again. In the docs they have this section: ``` Available Skills

Pre-built Agent Skills The following pre-built Agent Skills are available for immediate use:

    PowerPoint (pptx): Create presentations, edit slides, analyze presentation content
    Excel (xlsx): Create spreadsheets, analyze data, generate reports with charts
    Word (docx): Create documents, edit content, format text
    PDF (pdf): Generate formatted PDF documents and reports

Is there another list of available skills?

- [1] https://deepmind.google/models/gemini-diffusion/

It's totally fine to just pick one tool (chatGPT, Claude, Gemini) and just use whatever the best default they allow you to use. You'll get 90% of the benefits and not have to think at all.

AI is new and developing at breakneck pace. You can't complain that you want to get bleeding edge without having to do research or change workflows. That's already unrealistic for "normal" fields. It's absurd to expect for AI.

""" Yet the economic markets are reacting as if they were governed by stochastic parrots. Their pattern matching wants that previous technologies booms created more business opportunities, so investors are polarized to think the same will happen with AI. """

Are a direct argument against your point.

If people were completely unaware of the lump of labor fallacy, I'd understand you comment. It would be adding extra information into the conversation. But this is not it. The "lump of labor fallacy" is not a physical law. If someone is literally arguing that it doesn't apply in this case, you can't just parrot it back and leave. That's not a counter argument.

We had one breakthrough a couple of years ago with GPT-3, where we found that neural networks / transformers + scale does wonders. Everything else has been a smooth continuous improvement. Compare today's announcement to Genie-2[1] release less than 1 year ago.

The speed is insane, but not surprising if you put in context on how fast AI is advancing. Again, nothing _new_. Just absurdly fast continuous progress.

[1] - https://deepmind.google/discover/blog/genie-2-a-large-scale-...

It's basically what every major AI lab head is saying from the start. It's the peanut gallery that keeps saying they are lying to get funding.