I wonder if there's some kind of online board or forum where people post about tech...

Also, have you tried working instead of twitter? Learning instead of twitter? Just no twitter instead of twitter? Whatever useful thing you're telling yourself that you get from it, good chance that you're wrong and you can do without it completely instead of needing to replace it in some way.

Also Vonnegut:

"A purpose of human life, no matter who is controlling it, is to love whoever is around to be loved."

"If this isn't nice, I don't know what is..."

—Vonnegut's beloved uncle

The real massive revenues that the big tech companies are having aren't going to disappear just because OpenAI goes away.

The real revenues of small and mid-sizes tech companies might, though. Which might be funny (in a Road Runner & Wile E. Coyote way) but only after considerable time and distance. Saying that, I think of those guys from The Big Short being reprimanded for celebrating their prediction of a market crash.

The financial impact if the whole AI space loses even 50% of its current "valuation" will be huge. The financial impact of the whole AI space continuing at its current velocity is... More of whatever is going on now?

You're conflating consciousness and AGI. People are certainly talking about AI, people are very broadly talking about AGI and what that term means. I don't think many people are talking about consciousness in this context, at least not seriously, and one good reason for it is the lack of a concrete definition and the fact that it's a topic that we can't make falsifiable claims about and build any science around.

Not the person you asked but I have good data - I lost 32kg over 6 months on tirzepatide, 11kg of it was lean body mass, the rest was fat (based on DEXA scans).

In general, lean body mass loss is more of a result of rapid weight loss (I certainly consider mine very rapid), than result of the medication itself. If I was able to lose the same weight in the same period of time without the medication, and kept my protein and resistance training the same, I'd expect a similar ratio of muscle/fat loss.

Overall extremely happy with the outcome, very grateful that these drugs exist and that I was able to access them.

Wow -- That's very rapid weight loss. Congratulations.

1. ADHD medication

2. Break things down into small tasks

3. Checklists for all tasks, preferably on paper, crossing things out feels nice

4. Work surrounded by people, I need the accountability of being observed. Go to the office more often, use Focusmate where you pair with strangers, or even open an empty video call with just yourself and have yourself on camera on one screen.

5. In general look for environments that give frequent feedback, as frequent as possible. That's why long things and big projects need to be broken down.

6. Noise cancelling headphones, repetitive music with a nice beat and no lyrics.

7. But the main that unlocked everything was the medication, without it the rest of the tips don't do much.

this but you almost certainly don't need the drugs

Someone else might not, I certainly do.

No more leaderboard too!

These look like positive changes, a 2x longer event isn't 2x more fun or 2x more satisfying to participate in.

After skipping the past couple of years, I feel like I'm more likely to give it a go again this year.

Humans aren’t freely choosing what they want either, not sure how you can expect it from machines.

The point isn’t that humans are perfectly free — it’s that we occasionally notice when something is moving us from the outside, and can choose to resist it. That meta-awareness of being moved is already a different class than optimization under fixed rules. A(t) begins there — not at perfect freedom, but at noticing the frame itself.

damn that was fast!

This isn’t accurate - most of the style comes from the fine tuning and reinforcement learning, not from the original training data.

At some point people got this idea that LLMs just repeat or imitate their training data, and that’s completely false for today’s models.

>This isn’t accurate - most of the style comes from the fine tuning and reinforcement learning, not from the original training data.

Fine tuning, reinforcement, etc are all 'training' in my books. Perhaps this is your confusion over 'people got this idea'

> Fine tuning, reinforcement, etc are all 'training' in my books.

They are but they have nothing to do with how frequent anything is in literature which was your main point.

Agreed. The pre-2025 base models don't write like this.

No, my point has nothing to do with creativity. It's about the fact that their output is taylored to look and sound in a certain way in the later stages of model training, it's not representative of the original text data the base model was trained on.