Tycho

The idea is that eventually the power demand for AI compute will be too great to satisfy by terrestrial means.

Just use an LLM to make a good knowledge base for the databases. Based on schema info and production queries. An agent can use that to write queries that work.

When people put together memos or decks in the last, even if that weren’t read very carefully, at least they reassured management that someone had actually things through. But that is no longer a reliable signal.

“deeply off the rails”

How sheltered are you people? Scott Adams was a pretty standard non-woke boomer. Do you think that just because you don’t hear certain opinions in the workplace or the faculty or the Atlantic podcast, that they aren’t widely held by members of the public? Do you think everyone’s into DEI, BLM, trans-rights, multi-culturalism etc?

I kept meaning to tune in again to his livestream before the end. It was always a good listen as he went over the news with his dry sense of humour and judgment on fact vs fiction.I liked how he kept going after they cancelled all the Dilbert syndication - good lesson in resilience. RIP.

But the driver isn’t reacting to any of the LiDAR readings, only what they can see, so what is the point?

How do you train a model to drive with LiDAR when the human drivers who generate the training data don’t use LiDAR?

According to the paper you posted (interesting analysis), it’s not just low-vol assets, but good quality ones. Also, they would no doubt do a lot more buying of undervalued (good quality) companies if they weren’t by this point “too big to care”, so to speak.

When people say undervalued in this context, they usually mean it has a low price to earnings ratio. Intel is definitely not that - although it could still be a good bet if you have reason to believe their fortunes will greatly improve in the future. But it wouldn’t be a Buffett target in its current state.

So, best investor ever? (Not counting people who built enterprises, just people whose trade was to invest.)

I plan to buy some BRK stock. I’m sure it will be a good investment. But also, somewhat sentimentally, just to own a part of a financial masterpiece.

Not quite right. The pivot was from good companies at a great price to great companies at a good price (unless you can get a great price, but that’s unlikely).

Over the long run the latter is a better and more scalable strategy.

Think of Tesla as a well-funded pharmaceutical company that has invented a cure for a widespread ailment (call it “driving”) and now is waiting on regulatory approval.

The elegant syntax that is close to plain English sets it apart.

(It’s not so pretty these days though with all these type hints and other cruft that’s been added in the last ten years.)

Maybe it’s only visible to me https://grok.com/share/bGVnYWN5_5a484c29-ec2d-47e1-977e-c300...

I posted something similar from Grok 9 months ago, although it was “flagged” for some reason. the link still works.

https://news.ycombinator.com/item?id=43260083

Sold most of my BTC off at $120k, but kept a chunk not as an investment but as a sort of emergency fund that could be useful if for some reason I ever find myself needing to transact without using cash, bank accounts or credit cards.

The contract would obviously not be no strings attached.

Yes. The capital is not needed immediately, but they have agreed to provide it if/when called upon in future.

They integrated it into Google search immediately so I think a lot of people will bother less with ChatGPT when a google search is just as effective.

Commitments here means money that people have agreed to lend them in future.

I use Grok more than other LLMs. It’s built into X, so the use case of pressing the Grok button on a post to see an explanation for something I didn’t understand, or a fact check for something I doubted, or just more background on a subject, is by far the most frequently useful feature of AI in my day to day life.

People seem to nitpick a lot. Grok 3 came out in, what, March? Cost how many tens of millions to train? And you’re mad because it’s not open source yet?

It’s actually refreshing that the two bosses resigned over this. Means it’s not just an empty apology followed by business as usual with no consequences.

What were you working on that had trillions of events per hour?

I wonder what is the relative utility of giving donations to some charity that solicits them with ads or calls, vs just doing something obvious like writing a cheque to the local orphanage.

I was thinking about this concept of creative destruction recently.

I move to my neighbourhood in 2019. Before I got round to visiting them, a bunch of pubs and eateries closed down for the pandemic, and never re-opened. One pub became new apartments. A cafe became some sort of spa.

Take the pub for instance, I could imagine it was a lifestyle business for someone who made enough money from it, but not a whole lot. Is it net good or bad (for the area) for somewhere like that to close? Was this lifestyle business depriving the area of better services, more tax revenue? Or does the area now get less services and the money is mostly extracted into the coffers of a non-local property development enterprise. Quite hard to judge. Maybe there’s some good heuristics for estimating such things?

Don’t think I’ve seen “discovering”, the present participle of the verb, used in a headline like this before.

I don’t understand what is wrong with this system:

“Please employ me.”

“OK, fill out this form with your name, D.O.B. and national insurance number, and if it matches against the government database then you can have the job.”

What am I missing here? I suppose they could use someone else’s details, but then HMRC should be able to easily see that the NI account seems to have multiple taxpayers.

What’s the energy profile of running inference in a typical ChatGPT prompt compared to:

  - doing a google search and loading a linked webpage
  - taking a photo with your smartphone and uploading it to social media for sharing
  - playing Fortnite for 20 minutes
  - hosting a Zoom conference with 15 people
  - sending an email to a hundred colleagues

What I see is mass affluence. People spending hundreds of £s to see Oasis or Taylor Swift concerts. It used to be there were only so many high paying jobs like doctors, dentists, lawyers, but now you have eg. umpteenth product managers at Meta making hundreds of thousands for re-skinning the Marketplace app or whatever.

Skiing is incredibly fun but I wonder if it should be put in the same category as cycling (on roads): too dangerous to be sane.