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Proportional enrollment based on race?

Yes.

“Antiracist” doesn’t mean “not racist”; it’s a Marxist ideology focusing on racial identities and purposeful systemic racism to “balance” the power between racial tribes.

It’s extremely racist.

Anti-Asian racism will become normalized as long as “antiracism” is part of the Democratic agenda. They’re literally fighting to overturn civil rights laws in CA and WA so the government can discriminate based on race again.

GP talked about using Docker to do complex single host deployments until they needed horizontal scaling, which given max VM power, is after they can afford someone to manage it for them.

That makes me think they have multiple services of variable workload packed onto a single host, eg web server, async, and DB all on a single host via Docker.

That’s the antithesis of EB, which can only do horizontal scaling. Docker provides a way to replicate those multiple services in a deployment configuration when you want to set up a host image.

Not using Docker as an easy way to pack it all onto a single box as long as they can is just wasted expense.

I used Docker for embedded.

Running a cluster across your IOT fleet (1k+ devices; 5-10 apps each) gives a nice interface for pushing out tasks, choosing applications for a device, configuring supervisor-device relationships, etc. It turns out from scratch Docker containers on ARM are very portable.

I think you’re being dramatic — embedded is notorious for crazy builds of weird config flags to even get “hello world” to compile, and you’re waving your arms pretending that concepts from Erlang abstracted away from the language are too much.

Docker is just cgroups and namespaces, with a zip file of code. More or less literally.

Orchestration is the same mess it’s always been — back to at least the telephone days, when Erlang used the same concepts.

I use Docker without the network virtualization as a package manager.

Docker make it easy to run the same version of code in different places and let’s things run next to each other without version conflicts.

Also, I think you’re in a very small minority not to care about $720/yr increases in your hobbies.

It’s a trade off:

Younger workers have less to lose, so tend to leave more — but they’re also less experienced and tend to have lower expectations for the workplace.

Older workers are less likely to leave because it’s disruptive, but they’re also more experienced at the political side of life — and tend to insist on things like reasonable hours, professional management, etc.

My personal stance is that trying to exploit your workers is a losing game — but from the employers who act that way...

There’s some who prefer the lower expectations (eg, Amazon) and some who prefer the more stable crew (eg, ATT).

Functorio 5 years ago

The realization at the end of your post is what the author is trying to get people to reach about software.

The category theory for programmers crowd argue that categorical diagrams (annotated graphs) are the right way to reason about software to gain insights — and the rest is describing the equivalence between functions in a type theory and maps in a category.

Your mental model of directed graphs is a functional model.

That’s something Amazon does well:

Principal engineers are expected to give talks about their experience, which are heavily attended in person and widely shared.

It’s not perfect, but it’s less abstract when one or two concepts at a time, they explain why those truism through their personal experience.

“Earn Trust” is a truism — but being able to search for talks by the keyword “earn trust” where a high level engineer discusses different situations from their career and how they handled them is useful.

No, the problem is the technology as such:

Voting is a system that needs to be simple, transparent, and auditable. The technical solutions are 0/3 and an example of “over engineering” leading to a poor quality solution.

Our current voting system is well below international standards — and it’s because of the technology.

It’s only “free speech” when Twitter is used to plan violent riots in Seattle for the past year.

Got it.

That Apple, Google, and Amazon continue to host Twitter despite its continued use in planning violence speaks to the double standard conservatives have long alleged. They treated Parler differently than Twitter purely due to partisanship.

That Twitter and Facebook allow the CCP to spread messages of genocide (such as saying the CCP “emancipated the minds of Uyghur women in Xinjiang”) while silencing Donald Trump for telling his supporters to go home peacefully speaks to the actual morals of tech companies.

Twitter can cease offering service in Poland if they don’t like it.

Poland has (wisely) decided social media is like telephones and you can’t stop providing service because of what customers say, as long as it is legal. Good for them.

Poland is a sovereign country — Twitter doesn’t get to tell them how to act. That’s “tail wags dog”.

Social media companies blatantly exerted themselves as political entities — and now they’re facing “common carrier” regulation from existing political entities who don’t like that.

Again, if Twitter is uncomfortable being a common carrier for Polish social media — they’re free to exit the market and offer their services elsewhere.

I always find this a bit like “do submarines swim?”

Dunno, don’t care, just want a functional machine. If it gets from A to B, “swimming” is irrelevant.

————

As a matter of philosophy, the typical response is qualia happens to everything, but we only recognize it in things with dense computation and self-awareness similar to ours.

Like a cat or a dog or a whale.

We can maybe see hints of it in birds, insects (colonies), etc.

We’re starting to discover some of the complex signaling pathways in, eg, old growth forests — but they’re so out of scale and unlike us, we have trouble comprehending whatever experience, eg, the giant fungus under Oregon might have.

You actually noticed something deeper than your original question — “continuity of logic”, in the sense of “continuous function”.

If you imagine you have a lot of inputs to a predicate, then the topology of their truthiness tells you something — and we can talk about “smooth” logic models, where being a little wrong in our assumption means we’re a little wrong in our conclusion. We can then apply tools from analysis, like bifurcation theory.

The “halting problem schema” has a bifurcation at the finite/infinite boundary, which isn’t particularly uncommon for high level functions.

But it’s important to know, when writing proofs.

And generally speaking, places bifurcations can happen are regimes where your model is going to struggle. In the business world, knowing the “logic faults” of your model and keeping yourself in a “smooth regime” is important.

So cyber criminals stole millions of peoples private communications and leaked them online — people who did nothing and who are under no individual suspicion?

And HN is cheering?

Patriot Act 2.0 in 3... 2... 1....

What’s extra funny is I recognize the names cheering — and on other days, they’d talk about how the Patriot Act is wrong.

But these are bad hombres, you see?

It’s more than that:

“Bike 3 out of 5 days to the office” is a reflection of your goals as a human — fitness, enjoying the outdoors, whatever.

The problem is our natural inclination to be lazy and take the bus prevents us from accomplishing our desire to be healthier or enjoy the outdoors.

Having an explicit goal you measure the results of is a way to assess if you’re living the way you want to.

You’re captain here: no one is making you ride the bike — but if you want to ride your bike more, making that goal explicit and measured is a way to overcome your own internal conflicts preventing you from doing that.

Captain made a call and now we’re doing it.

It’s a huge difference — you’re increasing by 20-40%!

Which means you’re dropping to 75-100 PSI... which is also a big change from 120 PSI.

1.5 the width and 0.65 the pressure is a “big” change for a part like a tire.

That it’s because we assumed something untrue about the mechanics is fascinating.

Sure, could be.

My testing pointed towards a DRM problem, since it doesn’t happen with other video streaming or with rendering outside the particular Chrome + Hulu combination.

My point is two-fold:

1. Even if the driver crashes, the OS should blue screen (like it used to) rather than just hard freeze the machine.

2. Using an HP laptop with Windows and Chrome to view Hulu is so mainstream it should “just work” — so it’s a sign of industry breakdown it doesn’t.

To concur:

My laptop running Windows hangs periodically requiring a hard reset... if I watch Hulu on Chrome. At least twice a week and sometimes multiple times a day.

At least Windows in the 90s had the decency to put up a blue screen — now it just hard crashes without any display or debugging information.

Telemetry and forced updates are a slap in the face on top of the quality regressions.

Why not just point a webcam at a bed of them?

You can do image analysis to count the shellfish in the image, and attach an “open” or “closed” status to each. Once you have a reliable field of Boolean values, you can detect anomalies in the close count.

You could then have a grid of tanks with inlets from the clean water supply and outlets to the sewer where you monitored (more or less real time) the reaction to our clean water supply.

What?

I can’t make sense of what you’re even trying to say:

1. That the mechanism of harm is different tells us nothing about the relative risks. I don’t OD on cars, but cars are riskier than Asprin.

2. You can have long term negative impacts from, eg, vaccine carriers. (Which is why we stopped using some....)

3. Overdosing a live virus vaccine happens all the time, the result being you get the illness. A flu shot can kill you by giving you a deadly flu.

Tons of scientific papers on things like analyzing harmonics and material grain structure are rapidly adopted by mechanical engineers.

Comparing it to fundamental physics is like comparing it to abstract math — in which case the relationship is still the same:

Physicists building the LHC pushed engineering forward.

Math researchers have substantially pushed numerical computing forward.

My “one weird trick” is take the time to understand type theory.

How are types implemented?

What are the native types on your computer?

How do types and whiteboard diagrams relate?

If you can answer those questions, you’ll start to get an intuitive sense of how to make a program out of types (eg, domain driven design) and of how the computer will interpret those types.

This is something I think Amazon does well: their behavioral questions have a known format and prompt, and their recruiters tell you that and that you should practice.

At Amazon, the behavioral questions should be a STAR format response to prompts about Amazon leadership principles.

If you write down two STAR format stories to each principle, you’ll always have something to say for the behavioral questions. (Most stories hit several LPs, depending on what you emphasize. So it’s only a handful, total.)

I made flash cards for each story, so I could practice hitting the key points.