If you want multiple SSIDs, roaming, daily neighbor scanning and auto channel selection, etc, but don't like to spend hours tinkering with your equipment beyond the physical setup, then Ubiquiti UniFi equipment is great.

I stopped recommending UniFi around 2020 (several of their best engineers had left, and they made some dumb choices), but IMO they're back to being a decent choice. And I appreciate that they're become a one-stop solution for all home/SOHO as well as mid size enterprise IT needs.

source: https://isaiprofitable.com/

You wouldn't tell your mom about this great operating system she should use named "GNU/Linux". That's bad marketing.

Then add top-level instructions saying what country you're from, what country you live in now, and which language you speak. This isn't that hard.

- an "extended machine": provide usable abstractions over the hardware to reduce complexity to a manageable level

- a "resource manager": provide for an orderly and controlled allocation of the processors, memories, and I/O devices among all the various programs wanting them.

By that definition, Linux is very much an operating system... unless by "Linux" you meant the kernel only without the additional tooling (systemd, libc, coreutils, shell, etc.) that distros ship with.

[0] https://en.wikipedia.org/wiki/Andrew_S._Tanenbaum

Ancient Greek/Roman polytheism lost its social power around the time the oracles stopped speaking.

It will pretty much plagiarize the library verbatim from memory, sans comments.

Comments URL: https://news.ycombinator.com/item?id=48221650

Points: 2

# Comments: 0

Federal statute should categorize that as a fireable offense and an intentional tort incurring punitive damages at minimum, and any subsequent proceedings (after the lie) as inadmissible evidence.

If that makes investigation more difficult, then so be it. For too long, law enforcement and federal investigators have relied on inappropriate and immoral techniques to obtain conviction. Mass surveillance, warrantless wiretapping, manipulating suspects -- what happened to old-school investigation that was after truth via smart observation and deduction? There's a reason people love watching Poirot: it's a (admittedly stylized) snapshot of real justice in progress.

Their expected standard of behavior should be higher than that of citizens.

Also, the body of federal law and regulations is so vast that smart people estimate the average person unknowingly breaks roughly 3 federal criminal laws per day[1], giving the federal government the legal ability to arbitrarily arrest anyone they want.

[0] James Duane, You have the right to remain innocent, 2016

[1] Harvey Silverglate, Three Felonies a Day: How the Feds Target the Innocent, 2011.

Lean development theory teaches us that in a multi-workstream, multi-stage development process, developers should be kept at roughly 65-75% utilization. Otherwise, contra-intuitively, work queue lengths increase exponentially the closer utilization gets to 100%. The reason is that slack in the system absorbs and smooths perturbations and variability, which are inevitable.

Furthermore, underutilization is also highly comparable to stock market options: their value increases as variability increases. Slack enables quick pivots with less advance notice. It builds continuous responsiveness into the system. And as the Agile Manifesto tells us, excellent software development is more characterized by the ability to respond to change than the mere ability to follow a plan. Customers appreciate responsiveness from software vendors; it builds trust, which is increasing in value all the more with the rise of AI.

But AI-driven development threatens to increase, not decrease individual engineer utilization. More is expected, more is possible, and frankly, once you learn how to guardrail the AI and give it no trust to design well analytically, the speed a senior engineer can achieve while writing great code with AI assistance often feels intoxicating.

I think we're going to go through a whole new spat of hard, counterintuitive lessons similar to those many 1960s and 70s developers like Fred Brooks and his IBM team learned the hard way.

We're a bit odd though. Highly budget conscious, 4 kidsto feed (including 2 teenagers), and European tastes in food.

At least 80% of people agree with me, so I'm not holding to a fringe idea.

Talking to chatbots is like taking a placebo pill for a condition. You know it's just sugar, but it creates a measurable psychosomatic effect nonetheless. Even if you know there's no person on the other end, the conversation still causes you to functionally relate as if there is.

So this isn't "accommodating foibles" with the machine, it's protecting ourselves from an exploit of a human vulnerability: we subconsciously tend to infer intent, understanding, judgment, emotions, moral agency, etc. to LLMs.

Humans are wired to infer these based on conversation alone, and LLMs are unfortunately able to exploit human conversation to leap compellingly over the uncanny valley. LLM engineering couldn't be better made to target the uncanny valley: training on a vast corpus of real human speech. That uncanny valley is there for a reason: to protect us from inferring agency where such inference is not due.

Bad things happen when we relate to unsafe people as if they are safe... how much more should we watch out for how we relate to machines that imitate human relationality to fool many of us into thinking they are something that they're not. Some particularly vulnerable people have already died because of this, so it isn't an imaginary threat.

We need a federal law that says: "the definition of material non-public information (MNPI) is extended to mean any non-public information those in federal, state, or local government are privy to that may affect securities prices, and individuals in or adjacent to government are equally subject to prosecution for trading on it".