qdotme

I’m aware of this - what I’m curious about is whether we can go a step further and skip the “as by right” process.

This is similar to the difference between “shall issue” and “constitutional carry” states.

In the former you still have to deal with the system to exercise your right, and the system has to have staff to deal with you.

In the latter you’re approved - without anyone being on a taxpayers dole and having an incentive to keep themselves employed by enacting more laws and keeping the system inefficient.

I keep saying that permitting should be - broadly - same as driving.

You get handed a nice set of rules, you get tested on them.. and then you can go ahead and build within those rules without asking anyone for permission.

If you break the rules - we break your piggy bank to set everything straight. You can buy insurance (which will have its own set of rules) - or not.

Maybe in some jurisdictions you need to buy insurance, while in others you get to have a choice.. after clearing it with your financier.

Zoning is actually rule-making. Permitting is just bureaucracy. Keep them separate.

And it’s also the question of different use cases.

Asking to trust in an authority (while the main authority Microsoft/GitHub has is essentially figuring out enterprise sales well enough to be acquired by a company desperately needing developers after fumbling badly in the 2000s) is exactly the opposite of my stance - it is a large corporation, with heavy employee rotation, with substantial exposure to various forms of regulatory pressure and to various forms of corruption.

Which is why the cryptography exists to prove the developer-to-consumer trust without trusting the intermediaries. Yes, I do check GPG signatures. Yes, I do include a git commit hash in the binaries I build. And surely I want to make sure that this doesn’t mutate because some unknown engineer at GitHub had a bad case of gambling debt.

Well, there are two big equivalents here: One, Uber successfully lobbied cities (NYC DeBlasio comes to mind, but there was one in London) - getting to a scale before meaningful enforcement action (which sometimes means investors maintaining their trust in the team, and the team sticking through the lawsuits) usually means you now have a customer base that is of voting age, and can substantially impact politics.

Two, Chevron deference is over. This is linked somewhat to the first - the overreach of federal agencies is now judicially balanced against the economic impact, not merely presumed authorized by Congress. Under this SCOTUS it is relatively uncertain which way FDA's authority will be curtailed - people will try, the fact that FDA wants to regulate the sale of non-invasive diagnostic equipment and mobile apps.. does warrant review and political discussion.

This is even more interesting (full disclosure - I vibecoded a lib for it lately - lowzag) when you take into consideration working set restrictions.

In almost every case, downscaling-while-decoding is going to beat decode-then-scale on performance - merely keeping the uncompressed image in RAM is going to cost you, when you can scale it down in L1 or even vector registers.

I'm actually curious if nowadays some ML-based algorithms are not beating Lanczos 3-lobe to it - at least in perceptual quality of the downscale. The have /long/ surpassed it in upscaling.

Well, where? I live in MA, lived in NH and visited MSP quite frequently, also spent a winter in Toronto… but even a quick search suggests that in MN it “dips” to negatives Fahrenheit, occasionally, with monthly Jan averages in low single digits.

Most of inhabited Canada is a thin sliver by the US border, or coastal which stabilizes the temperature around freezing quite well. Ditto with Norway.

Can you share a good example of a large (say 500k+ metro area, the “commonly”) city that actually dips below 0F daytime regularly? Murmansk comes to mind.. maybe..

Because gallon of fuel weighs 6lbs!

As a scientist and an adult immigrant to the US, I came to appreciate both systems as useful for different objectives.

Celsius/Metric is neatly rooted in science - where it truly shines by removing /most/ of the conversion factors (but does it? we still have, today, speed of light that should be 1, Avogadro and Boltzmann constants are just odd numbers you memorize too) - but doesn't match neither everyday weather and life (0F being "coldest you'll experience in a place humans commonly live" and 100F being "hotest", and close to wet bulb temperature and, through a fluke of an undiagnosed fever of Fahrenheits' wife, nice threshold for fever).

Fahrenheit/Imperial is actually relatively convenient to machining, industry and agriculture (but not engineering or science) - how much of that is actually fractional measurements (1/16th makes a ton more sense than 0.0625), and how much are the "fingertip/decent meal/daily water intake/sustains a person" idea of an inch/lb/gal/acre.. is quite intuitive. Far more so for composite units. 1 PSI is intuitive - you know what force to exert at what area of a piston, same for torque'ing to 80 lbs-ft.

But.. it makes a ton less sense when you separate N from kg (yeah, I am a physicist, I know why, it just makes less sense when building stuff in a dirty corner of an industrial revolution), then somehow apply it to a whole square meter to get a Pascal, and now you need decimal fractions of a million of those.. to represent what you actually see. Quick, do you think you can plug a 2cm diameter garden hose at 0.5MPa with your thumb to spray your dog?

CGS system was quite popular and useful, IMHO for that reason, at the time when Europe was actually manufacturing stuff and inventing them in barns and factories. But it was essentially "neither" - bastardization of sacred kg and meter - lost to SI.

US keeps inventing and making stuff in garages and fields.. and it shows in its devotion to imperial system. But I can see convincing mechanics to 1/8th of a cm and 40g way before I can see them taking up 1.25 mm and 0.04 kg.

ATSC. Technically orginal RTL tuners handled both (in really thin gateware, which is why the chip was so hackable for SDR, you just turned its debug mode and it would stream its IQ values).

Well, the reality of those types of businesses is that once set they do become a relatively low maintenance (and for some, very low 'urgent' maintenance) passive income.

It's really easy to pull $300k/y as an SRE (but that does amount to about $100/hr equivalent in SMB, assuming realistic >40h workweeks and the tax advantages in SMB, even less if you have to pay for services you enjoy and can't find time for due to FTE - nannies or even changing your own oil).

It is extremely hard to keep that $100/hr and a sliding scale - one week you work 50h, the other 30h, then you take a month or three off at $5h/week.

Mine (and I don't regret these) is running midsize PV plants. Slightly bigger than residential (hey, does OP want solar PV on the rooftop? I have a bowling alley as a client, they are a great match), but again not large enough to attract a scaled business.

I approximately put in 5h on each a year after the initial setup (around 100hr each), for $10k/y in profit from each.

Probably was that way before we got married and had a kid. And before our dog started getting older and we needed to watch what she eats.

Now the notion of "cook fresh every day" is a thing (rather than reheats), we try to do keep leftovers but eventually we run out of space for them.

1.5lb / day? I'd wager it's quite equally in thirds, would love to see the data.

I'd believe 0.5lbs/day/person in my household - cook enough for everyone to have seconds, but most of the time it's tossed (sometimes after some time spent in the fridge/freezer hoping for a reheat); stuff bought but inedible (chicken bones, etc)..

I'd believe similar in the distribution pipeline (just look at how much stuff are in the discounted aisle just about to fall off sell-by date + obviously moldy goods), and I'd believe similar in the production pipeline.

It certainly does, I mentioned it in an comment below, good callout.

I am however also more interested in how this affects other types of consumer behavior - and whether that is a factor in pullback on the economy (on top of other factors - energy, job market, trade restrictions).

Yeah - powerful confounder to all the analyses of customer behavior. Even the article itself calls it out - there probably is a good way to segment it, as GLP1 availability is not uniform, some states regulate it more tightly etc.

Or.. is it a GLP-1 byproduct? These are powerful appetite suppressants.. in fact I'm curious if the mechanism of action of these peptides affects other impulse behavior, including impulse purchasing?

We know that people buy more when they are hungry. They also buy more when the smells of food are in the store (the other benefit of rotisserie chicken).