stevesimmons

https://www.lrb.co.uk/the-paper/v48/n09/robert-cioffi/pharao...

For instance, the Library of Alexandria had up to 500,000 scrolls (which of course were all handwritten). And it was partly stocked by confiscating all the books from any ship that happened to dock in the nearby port.

Digging deeper, the kyu -- or Q for quarter millimeter -- is apparently a foundational distance measurement in Japanese typesetting, which is metric and operates on a millimeter grid.

  - KeePass files synced between laptop and phone on OneDrive, DropBox, etc
  - KeePassXC on Windows and Mac
  - Keepass2Android mobile client
  - Browser integration on mobile. 
  - On laptop, I prefer no browser integration; Copy username and password with Ctrl+B and Ctrl+C

Amusingly, the person concerned has the surname "Swindells"...

[1] https://www.ft.com/content/6c548670-0f3e-45f1-ba08-8bb6dd152...

For my postdoc in 1995, my industry sponsor bought me a then top-of-the range Dell Latitude XP with 100MHz 80486, integrated 80487 coprocessor and 32MB RAM for radar signal processing research.

In Australia at the time, it cost A$10,000, as much as my car.

Even the 24MB RAM upgrade from 8 to 32MB cost USD1,200 ($2,500) in today's money. Which puts current complaints about the soaring cost of RAM into perspective!

This marginal price is only for the spot market right? So the key question is more what % of the mix is spot vs longer term. And thus what the overall impact is on total blended price.

Definitely not a conflict of interest...

As far as I can see, the US has managed to replace an older Ayatollah Khomeini with a younger Ayatollah Khomeini with even more reasons to seek vengeance against the US and obtain nuclear weapons.

> If you're actually at war, winning should be objective not PR optics.

Which of course is why a former TV host is clearly the most qualified person to be Secretary of Defense, sorry War.

Basically in the Netherlands, if you're within 5-10km, you go by bike. If public transport is reasonable, which it mostly is in urban areas, you take it. You'd almost never choose car within a major city, unless it's on the outskirts.

(There's also an indexed variant that does faster lookups, but it uses a special virtual table layout that constrains the types of the other columns in the table.)

See https://github.com/unum-cloud/USearch. pip-installable for Python users.

For instance, one of GDPR's 6 lawful bases for processing data is in order to comply with legal obligations.

If you're going to make strong claims like that, the onus really is on you to give specific examples.

Then you run it on 100,000 real documents.

And so you find there actually are so, so many exceptions and special cases. And so begins the journey of constructing layers of heuristics and codified special cases needed to turn ~80% raw accuracy to something asymptotically close to 100%.

That's the moat. At least where high accuracy is the key requirement.

If a compressor can compress every input of length N bits into fewer than N bits, then at least 2 of the 2^N possible inputs have the same output. Thus there cannot exist a universal compressor.

Modify as desired for fractional bits. The essential argument is the same.

    =LET(
        filterCriteria, "Fred",
        filteredRange, FILTER(A2:D8,A2:A8=filterCriteria),
        IF(ISBLANK(filteredRange),"-", filteredRange)
    )

The end result - as you see - is quite readable.

    If you are transferring a conversation trace from another model, ... to bypass strict validation in these specific scenarios, populate the field with this specific dummy string:

    "thoughtSignature": "context_engineering_is_the_way_to_go"

For modern users of Z3, you'd want to do `pip install z3-solver` rather than use `Z3Py` mentioned at the very bottom of this doc.

I never quite understood the logic for this. Sure, if you overlay a simple upward sloping cost curve on a downward sloping demand-price curve, the market-clearing price is where they intersect, and that in practice much of the time is a gas generator.

But there must be a million other aspects that can affect what price needs to be paid to secure the capacity below that point. Surely only part of the total area under that market-clearing price needs to accrue to the generators?

And if generators are getting windfall profits, can't the market rules be adjusted so more of it can given to the consumers in the form of lower energy prices?

Can someone explain this? Maybe that is what actually happens, just it is too complex for the mass media.

As for "a large portion of the software industry is iOS native apps"... How about plugging in some assumptions here and then multiplying them together:

1. Mobile app share of total software development. 30%

2. iOS share versus Android: 30%

3. What % of iOS app dev is native apps? 40%

My assumptions here give something like 4%. You should put whatever numbers you feel are right here, and I'm pretty sure it won't be close to "a large portion".