If you hold confidential information, using it to bet on prediction markets could arguably violate secrecy rules since the market effectively receives the information. If you are not bound by confidentiality, participating should be fine.

Note that this isn't about making the market "fair" for other participants but about ensuring confidential information remains confidential (especially relevant in the context of national defense).

Countries known for big breakfasts: USA, Turkey.

Countries known for light or skipped breakfasts: France, Japan, China.

I think I'll wait for a more thorough study.

Buddha recommended to his followers a diet which consisted of a breakfast and a second meal at noon if needed. That is, for their health, primary meal early in the day and fasting the remainder. It's interesting that this advice seems fairly supported by science.

This study wasn't big breakfast vs light/no breakfast.

It was high fiber big breakfast vs high protein big breakfast.

(And no, this comment was not written by an LLM).

I always setup my terminals to open a tmux session by default (or attach to any existing one). For example, in my ~/.config/alacritty/alacritty.toml:

    [terminal.shell]
    args = ["-l", "-c", "tmux attach || tmux"]
    program = "/opt/homebrew/bin/zsh"

tmux supports tabs so you can have multiple Claude Code sessions running concurrently. You do need to learn a few tmux keyboard shortcuts to use it effectively (e.g. opening/closing/switching tab).

It protects US compagnies at the expense of US consumers. Almost no economist think they are actually good for the economy, not even retaliatory tariffs.

I think OpenAI is just heavily woke tuned. I had similar lack of reasoning ability when discussing subjects like gender dysphoria.

For the same reason tax codes are complex. If you have a simple law, there's no way for a politician to say to a group of people: "If you vote for me, I will get you a special favour".

Their mission was always a joke anyways. "We will consider our mission fulfilled if our work aids others to achieve AGI" yet going to cry to US lawmakers when open source models use their models for training.

Looks like they pivoted to "AI storage", whatever that means.

That means that any project without the letters "AI" in the name is dead in the eyes of investors.

Even plain terminals are now "agentic orchestrators": https://www.warp.dev

Are investors really that gullible? Whenever I see "AI" slapped onto an obviously non-AI product, it's an instant red flag to me.

> Are investors really that gullible?

Yes.

https://www.theguardian.com/technology/2017/dec/21/us-soft-d...

Are you kidding me

"Long Island Iced Tea Corp [...] In 2017, the corporation rebranded as Long Blockchain Corp [...] Its stock price spiked as much as 380% after the announcement."

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

As long as there's at least one gullible in the pack, all the other ones will behave the same because they now know there's one idiot that will happily hold the bag when it comes crashing down. They're all banking on passing the bag onto someone else before the crash.

A Ponzi can be a good investment too (for a certain definition of "good") as long as you get out before it collapses. The whole tech market right now is a big Ponzi with everyone hoping to get out before it crashes. Worse, dissent risks crashing it early so no talks of AI limitations or the lack of actual, sustainable productivity improvements are allowed, even if those concerns do absolutely happen behind closed doors.

The poster (Nikita Bier) is the head of product at X.

Would be cool to have a benchmark with actually unsolved math and science questions, although I suspect models are still quite a long way from that level.

Does folding a protein count? How about increasing performance at Go?

"Optimize this extremely nontrivial algorithm" would work. But unless the provided solution is novel you can never be certain there wasn't leakage. And anyway at that point you're pretty obviously testing for superintelligence.

It's worth noting that neither of those were accomplished by LLMs.