zipy124

They gave revenue for quarter per month, not per quarter.

For other's interested in leveraged ETFs please see this excellent piece from Ben Felix: https://youtu.be/E7pl0tqzIUQ?si=py-3Uy1wb_yG3e5U

Is this not just a pre-print, not a publication?

Or without the cynical lens they just operate like CERN where they acknowledge everyone who without them could not complete the research. Hyperauthorship is common in particle physics for example.

Also noteworthy is that they already have their own version of ubuntu that is widely used: https://en.wikipedia.org/wiki/GendBuntu

One problem is who should pay for the data storage? Some of my academic experiments generated vast quantities of data. Who will pay to store it all, and how long should it be stored for?

It's not that they can't, but why would they? It's a race to the bottom commodity wise, much smarter to build on top of the model layer like Legora and Lovable than make the models.

Only under heavily gamed financial metrics. Using EBITDA for capital heavy businesses does not work like in typical tech businesses.

You can lose data though. Any open documents which aren't saved...

Yes but focussing more on long-term ownership, as opposed to the usual turn-around and flip or asset stripping methodology.

They are heavily debt financed I believe, almost $5 billion worth last I checked.

You see this in many things. Look at climbing for instance, or running. Once the first v17 had been done, suddenly many people did them. Or running with a sub 2 hour marathon.

Griffin and citadel less bailed him out, and more circled like sharks and made out with a good deal TBF.

Don't they just share the colossus 1 data center?

The data is from the federal reserve.

From the Fed's own description of the dataset "The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics."

Families would suggest household, not personal.

It was superseded by the antigravity CLI.

It's actually crazy that a music app struggles to play music many times. By far my worst big app experience.

Usually the ideas it that the theoretical maximum is not a local optima though, but some ideal global optima which you know you realistically cannot reach.

That is you know the data is some size, and memory throughput is some rate, and clock cycles is some rate etc...

You are entirely correct about the line of thinking if your assumptions are down a different line of thinking such as algorithmic estimates though, where you might miss some better way of doing things.

I've always used this method of working and can stand by it. For instance let's say you are working on a high-speed real-time image processing system. If you know that each image is 1080p for instance, that's 2 million pixels, and we will have 3 bytes per pixel for colour, then that's like 6MB per image (without compression). If you have 25 GB/s of RAM bandwidth, then there is a hard limit of ~4 thousand frames per second if you aren't even doing any processing. Therefore if you strip out your processing and are only getting say 400 frames per second, you know something is going wrong.

This can be applied roughly to anything. I find it very handy when thinking about CPU/GPU performance as well. For instance knowing that at 5GHz you have 5 billion clock cycles per second, which depending on instructions and pipe lining etc... can be roughly 5-30 billion operations per second per core tells you how long some process should take if you know roughly how many operations are required and the data size you are operating on.

Obviously as you drill down things get much more complicated, but they give you some rough idea about how fast things could be under some set of assumptions. Very similar to how a physicist works with models and assumptions.

This honestly is probably true, given when I help students write personal statements for applying to uni, the most common way they got into computer science is video games. I know for me 16 years ago that was true also.

I don't think we actually disagree here. I agree broadly with everything you said. My point was mainly I don't see a reason to support that assumption that if pay pushes out low performers, I don't see a reason why it wouldn't equally push out high performers? This goes on the assumption that lower performers optimise more for pay than higher performers?

> On the other hand, it also retains poor performers, who you want to steer to finding roles elsewhere

If paying people less encourages poor performers to find roles elsewhere, it encourages your high performers to do this even more probably...

The commenter is stating that respectable journals accept a lot of bad papers. This is actually very true.

I mean, can't you just look around? Also from a business standpoint it just makes sense. Diminishing returns on product quality has been known for a long time. Look at Displays for instance. A set number of dead pixels is seen as okay, not because it is okay, but because the cost increase to have no dead pixels is extremely high.

I feel like this is the same problem USB and bluetooth have, where there are so many optional extras, that it's so hard to truly compare devices since a standard is actually like 100 standards packaged together.

I mean it makes sense right? Anthropic for instance has like, a couple hundred staff in London with plans to expand to somewhere just shy of a thousand. There are far far more ML/Maths/CS/Stats PhD's than there are openings. Especially in London there is no shortage of suitable candidates given Cambridge/Oxford/Imperial/UCL are surrounding it. 2% of the UK population has a PhD alone...

I mean a lot of successful new tech companies were about side-stepping legislation. Some that are missing here are airbnb which effectively side-stepped fairly strict hotel legislation (Though there is a case to be made that it simply improved short-term lodging), and uber which side-stepped strong taxi/private-hire legislation.

This is one of the primary reasons that tech startups flourish in America but not in Europe.

The BBC reported on it many many hours ago at the same time [1] with the Department for Energy Security and Net Zero confirming there was an incident.

[1]: https://www.bbc.co.uk/news/articles/ce9793g34yvo

The BBC reported on it many many hours ago at the same time [1] with the Department for Energy Security and Net Zero confirming there was an incident.

[1]: https://www.bbc.co.uk/news/articles/ce9793g34yvo