skysight-inc/HackerNews huggingface dataset:
> By the end of my tenure at Stripe in 2021 this had done a total 180. I had managers who by design had no function in the R&D org at all – they didn’t do product work, they didn’t do operations or hold a pager, they didn’t help with incoming cross-team asks, they didn’t manage the JIRA board, and a lot of the time they didn’t even run our meetings (deferring that to ICs); and the prevailing wisdom became that this was a good thing.

I stumbled into a job like this recently. The startup hired an upper management team from some well-known tech companies. They had several people who claimed that “organization design” was their passion, wrote “thought leader” blogs or substacks, and presented themselves as experts in all things agile.

I thought I was joining a lean startup team focused on efficient execution (as they pitched themselves) but they operated in the most bloated, inefficient, and bureaucratic manner I’ve ever seen. Roles and processes were so artificially segmented that I wasn’t allowed to use Jira without waiting for the next scheduled meeting so everyone could tell the project manager what buttons to click in Jira during long shared meetings. If you started to make any comments that sounded like they might be a product-related idea, they’d scold you for daring to think about anything other than code and demand that only product managers be allowed to talk about product things. Several managers seemed to do nothing other than police process among teams, dropping into your team’s meetings unannounced to observe and take notes about who was, and was not, following the extensive process documents they prepared for everyone.

Their solution to every problem was always to hire more people. If a new requirement came up, they’d stop teams from working on it and try to find a way to spin the new requirement into more headcount. This created absurd situations where, for example, the design lead had convinced the company to hire a new designer for every new initiative while the designers for past projects sat mostly idle all day. It didn’t matter, though, because the only goal was to increase headcount. People were praised for the amount of hiring they did and the number of people they managed.

This company was an extreme version of the dysfunction described in the article. I felt so relieved when I left and rejoined a company that didn’t create elaborate self-serving management structures as their primary goal. So many people at the dysfunctional company just thrived on shuffling from meeting to meeting every day, creating the appearance of doing a lot of work while actively interfering with everyone just trying to execute efficiently.
The Duke in His Domain: Marlon Brando, on Location (1957)
Most currencies are also not worth lending at prevailing local interest rates.

Currently, that also applies to apparently non-trash currencies like Euro and to some degree, USD.
> According to my artist friends, commissions are down, and there's reports of professional positions being replaced as well.

To be fair, the economy is in a dump. Reduced commissions and positions being cut might have more to do with that than AI. That said, the market for “generic” art is probably going to be taken over by AI.
Show HN: Missing Calendly Feature: Branded Links
Who doesn't like bringing everything terrible about the real world into the virtual one? Next thing you see they'll be having virtual commutes with virtual cars waiting 40 minutes just to go to your virtual office. But hey it's all metaverse, which means it's awesome and shiny, right?
I spent a ton of time hacking together something like that only to just find langchain supports this: they definitely need to bring the tools use case to the top of the documentation since it's by far the most tedious part of what it offers to figure out on your own
All of those systems have incentives to produce, none of them buy into MMT, you don't seem to be aware that your critiques do not apply to any real-world systems, as all of these are market-based economies no less than the U.S. Having social safety nets or just stronger worker protections do not require economic planning.
> This is meaningless without knowing how productivity is being measured. It's very possible that said metric inherently favors in-person collaboration over remote collaboration - which would then skew the results of any further analysis of that metric.

Why is it supposed to be problematic for the metric to favor or skew towards one over the other? The goal of the metric should be to measure something the company wants to optimize not to try to show all proposals for optimizing the something are equally adept at doing so. It's possible they are measuring productivity incorrectly but whether or not the measure favors a method isn't a signal for that.

I agree the other information is needed for the rest of us to consume the findings meaningfully though.
A lesson from Valve, which supposedly has no org chart: a company with no hierarchy has politics instead. I'm certain other companies that have tried that model have the same problem.
Everything is rolling along smoothly, and then, bam:

> High caliber, experienced employees probably get just as much done at home at the office, or maybe more…

“Probably” is the key word, here. It signals to me that the author is tired of writing at this point and throws in something with little conviction or defense.

I care about this point, and am inclined in the opposite direction: I think less work is done in office by these people.

Withholding any self reflection to qualify myself as “high caliber”, I can say I’m an experienced employee - and feel that my productivity dwindles in person due to distractions and thus an inability to “zone in”.

That means that I’m putting in extra hours outside work to achieve the same level of pre-RTO productivity. I’ve heard the same from others. Together, we’ve expressed concerns about the sustainability of these efforts.

For me, toss that sentence from this article and let’s dedicate time to that discussion, independently.
Of course it's the women who often have unrealistic standards and much less of a drive to find a mate, for basic evolutionary reasons found in the vast majority of sexually reproducing animals.
TinyVG – an alternative binary encoded vector graphics format
Excellent point. I would have a hard time naming anything Google has produced lately that has seemed like a big step forward to me. And with Facebook, a lot of their "productivity" seems to be wasteful (like the metaverse stuff) or actively harmful.
> the first CoT paper introduced few shot examples

It doesn't actually. See https://arxiv.org/pdf/2201.11903.pdf

Perhaps you are thinking of the GPT-3 paper ("Language Models are Few-Shot Learners") which has plenty of these examples.
There are environmental engineers, who have worked for the last thirty years, scientifically developing guidelines and regulations, that are science based, for the many factors affecting our environment.
From water, soil and air pollution, to the toxicology of the chemicals we use, on
the present day harm, and long term harm, of almost every industry in use today.
With this data, political decisions could and should be made, on the use, of our environment, our impact on it, and the allowable levels of future disturbances.
Here in lies the rub. Policy, decided by politics, over rides science almost every day.
But, there is hope. There are numbers to work with, there are regulatory regimes, there is a chance for hope.
We just have to create global agreement systems, and possibly global enforcement systems.
Obviously, is not easy.
But, there is hope!
Can you share with me your perspective and/or
any reading material on Philosophy/something else?

The latest soon to release I.B.M. machine's operating system brochure says they have A.I. in the works for unskilled operators. I look forward to the day a probe is sent past the point where the selfie of our planet was taken by a probe at double the escape acceleration from our solar system. Continental/French philosophers are depressing, no?
It’s not some “elite” cabal. It’s transparently the utility companies and adjacent industries. They fight this unless subsidies for their “increased costs to the grid” are covered. It seems in local areas I’ve seen this play out it always comes down to the fact they want the public to pay for the grid upgrades they should’ve been doing in the first place.

I think from what I’ve read online and heard from others this is a pretty common if not nearly universal thing happening when it comes to the pushback against rolling out residential / urban solar at scale
Middle management bloat is real. At one point there were 16 layers of management between me and the ceo when I was at a staff engineer. However the other extreme (like in places like Twitter, since the author mentioned it), you have 20 people reporting to a single manager. That is not a great place to work in. The managers are just stretched thin and the ICs are left to deal with the chaos. This becomes really hard for newer or junior engineers.
Yes you are correct of course.
The diversity of notations stems from the fact that the current BNF notations are always lacking in something fundamental that each use case needs.

For me, the breaking point came in trying to describe binary formats. I eventually had to come up with my own: https://github.com/kstenerud/dogma

Will it solve the BNF problem? No, but it does help the binary folks.
HN thinks anything they agree with is profound even if it’s just bullshit wrapped up in a little paragraph.
servicenow, asana, moday.com even
there is irony, but it also doesnt have to be a binary all office/no office situation. even 10% of time spent meeting people in "the metaverse" would be a huge shift (i say this as a metaverse skeptic)
I've noticed that people can conflate "detailed spec" with "terribly meticulous process". Close collaboration with design/product doesn't mean that writing things down isn't useful, and can come in handy specifically:

1. When capturing complex logic areas, especially if related to any areas that are related to money or legal considerations

2. When onboarding new people on any side who need to learn about or get context on a product (product, design, eng)

3. When you revisit a V2 3 months later and forgotten what decisions you made or why you made them

Lots of detailed specs to me sounds like a fast velocity of products and totally compatible with startups. That said, you also added the word "lots" that OP didn't use. It could just mean two or three!
I’m happy if a junior programmer knows when they should ask questions. In my experience a “senior” with ego problems can dig a year deep rabbit hole for the whole team in a matter of months.
2020

In November, in the middle of Covid, I finally got a US visa.[1]

[1] https://daniel.haxx.se/blog/2020/11/09/a-us-visa-in-937-days...

Edit: formating
Can hardly believe the audience is laughing at dead Americans. Even Bushites are not that callous.

They're laughing at his implied admission of guilt and the idea that Putin's unjustified wars are in George Bush's shadow.
Rebecca Zung has been posting videos on narcissism for some time now. The videos on how to identify them and their tactics are excellent.

https://www.youtube.com/@RebeccaZungEsq
I doubt an LLM will ever be able to write like that.
Device longevity, and screen size.
Why are you not looking at all majors?

Some of the best I've had were from math, physics, philosophy, EE, & drama.
The management part rings so true. 15 years ago every manager I had would be closely involved in system architecture, reviewing specs, setting engineering standards for the team, approving code and lots more. Today all of this is delegated down to ICs and even team leads and L1 managers do...meetings and other important stuff.

Sooner rather than later a large chunk of line managers and middle managers industry-wide are going to face a "what would you say you do here?" moment, and it already seems to have started at Meta.
I am also vastly more productive at home than I am at an office. Especially the San Francisco lunchroom chic that plagues the city.
Plutonium is the element with the highest atomic number to occur in nature. Neutrons are in abundance in supernova, so heavy elements like plutonium can be created in copious quantities. Trace quantities arise in natural uranium-238 deposits when uranium-238 captures neutrons emitted by decay of other uranium-238 atoms. Plutonium is separated from uranium and other transuranium elements by subjecting an aqueous solution in dilute nitric acid of the elements to be separated to electrolytic extraction by counter-current or cross-current ion migration in the presence of a complexing agent, preferably acetic acid or a mixture of hydrofluoric acid with an alkali metal fluoride, until plutonium and the other elements present accumulate in separate portions of the solution which are thereafter separately withdrawn.[1]

[1] This is all copypasta from Wikipedia and firsts of Google search results.
> Or on a gravel bar in a river:

this one looks very cool but the consequences of getting those estimations wrong would be pretty dire. idk man
I don't know. Many people fleeing the DDR (East Germany) to West Germany were shot dead by DDR border guards, yet the Wall eventually fell.

Things can still change.
Nothing in that person's comment supports "banning transgender people," and I resent that you are trying to twist that person's words.
well, i think you mean there are always politics
A lot of tools recruiters use to do mass reach out advertise this as a feature.

https://www.celential.ai/

> Second, our Virtual Recruiter activates top passive talent through hyper-personalized messaging at scale. Our system engages potential candidates with emails customized to each person and opportunity, resulting in higher response and present-to-interview rates.

https://www.dover.com/start

> No more manually writing and sending recruiting emails. Dover generates hyper-personalized outreach for each candidate, and even optimizes email send times to maximize your response rates.

There are other examples but that should give you an idea.
Agreed, and I apologize. I should have said I never met anyone who loved their experience at Apple. Thanks for catching that, and for doing it so civilly.
Tolstoy phrased it more beautifully

“If it were not so frightening it would be amusing to observe the pride and complacency with which we, like children, take apart the watch, pull out the spring and make a toy of it, and are then surprised when the watch stops working.”
nono, I just meant to the side that doesn't work for humans, and works for fish. maybe just my abstract sense of humor.
Given how fast AI is moving, how much longer will this matter?
TFA sez: But as we see, companies like Meta have been making an effort to quantify the effect of remote work on productivity, and concluded not only that there is some, but that it’s significant enough to warrant encouraging an unpopular return. [End TFA.]

But they have failed to do this. When they actually provide such data (a rarity), it’s cherry-picked to justify getting asses back in seats for egocentric reasons. They just want to feel the busyness of the business when they walk in the door. It makes the executives feel like they’re in charge of something.

No, the future is simple: eventually, you will be glad to hire competent people no matter where they want to work. COVID and the generally suppressed immune systems that it’s leaving behind will continue to thin the employee pool. The fascists will shut down H1-B and close the borders. You’ll hire us WFH, or hybrid, or full time in-office, by employee choice, and you’ll like it. Because otherwise you won’t have anyone to hire at all.
Everyone should know how to query a DB, but network programming seems to me like a niche within a niche (systems programming). I have done tutorials on writing TCP or doing a server in C but never came anywhere close to writing that stuff in practice.
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I agree that a working knowledge of these topics is foundational.

I have noticed that undergrad CS curriculums in most places are shying away from making practical skills part of mandatory courses.

Sure, theoretical underpinnings are ‘more’ foundational. But unless you know how to use these (and similar) tools, there is simply not much motivation to understand the theory naturally.
People who are looking to get adfree experience on YouTube they can simply use Brave Browser.

It blocks all the ads
> They are not equivalent. Running a function in another process incurs the overhead of copying the data to the other process (potentially over the network). In both directions.

> Moreover, there is a context switch and it's more likely the code will run on a different core if you run it async than if you run it in the same process (which is very likely but not guaranteed) to run on the same core.

Yes I agree, but the question as presented by valenterry asks us whether or not there is some existing semantic difference and not under the confines of performance (both gains or losses). Regardless what you have stated are all true.

But as an aside, and not directed towards you, Task.async/3 doesn't do anything that the developer cannot already do. Even in the tutorial for the learning Elixir, the fledgling developer is exposed to the different mechanisms that power Task.async/3, the source code [1] reflects this, although supervisors are covered much later down the line. The documentation for

> The way in which they are equivalent, is that the code that you write is identical, and the bytecode that gets run, and the existence of implicit yields is identical between the async and "sync" code.

And just to add on for those not familiar with the BIFs, receive, which is what Task.await/2 and Task.yield/2 use under the hood, yields execution. NIFs are another one.

[1] https://github.com/elixir-lang/elixir/blob/fb729784e5504f499...
That's amazing airmanship in an amazing aircraft. The first C-130 flew in 1954. They are still in service today, almost 70 years later. [0]

[0] https://en.wikipedia.org/wiki/Lockheed_C-130_Hercules
1 - I use it to get in contact with colleagues I've lost track of.

2 - When I have a meeting with someone I look them up on linkedin before the meeting/call/whatever. It's fun when it turns out we know some people in common or worked (even overlapped) at the same company or institution.

3 - I've paid for previous companies' recruiters to use the recruiting tool. I have no idea how it works, or how well, unfortunately but the recruiters all want it. I have gotten good candidates, but would we have gotten them without it? My current startup is still in the word-of-mouth mode but I'm sure if we need to step up hiring we'll be sending LI $20K/month or whatever it is.
Something in-between with a slight preference on the latter. Once you understand the general concepts, you will hopefully be able to map them to concrete implementations depending on the programming language.
> I know a lot of women my age, early 30s, who do not want to marry or have kids but who still feel pressured by their parents. And that social pressure is enough to make them feel guilty or miserable.

Or they feel like failures because they are failures in a biological sense, and they know it deep down due to their biological brain wiring, but they blame their guilt on their parents and society.
Here's my opinion on how China scores against your criteria:

- Dense cities: Yes. I grew up in the suburbs and love the density here and how walkable everything is.

- Affordable housing: A good place in a popular location in Beijing or Shanghai is about $2k USD a month. You can get that down to $1k if you have roommates.

- Great public infrastructure: public transit, yes, but I rarely need to take that anymore. Public parks aren't great. You can't drink the tap water.

- Modicum of agreement: political discussion is so thoroughly suppressed that we all engage in self-censorship. I guess that could be called "agreement", but when I think of agreement I think of a place like New Zealand.

Here are the great things you're maybe not seeing:

- There's a bit of friction in everything in daily life, and that somehow makes life more enjoyable for some kinds of people (including myself). I think a big reason for that is that most people here don't speak English.

- It's incredibly easy to make friends.

- Most people you meet are interesting: either they're an expat and they moved here because they didn't want to coast through life, or they're a local and they're curious about people from other cultures.

- Some jobs pay incredibly well. For example if you're a teacher (not a "teacher"), China is a big step up.

Here are the not-so-good things you're maybe not thinking about:

- Air pollution is still a thing. In some cities, half the days you'd like to go outside for a run, you shouldn't because the air is too bad.

- Things like national parks are more crowded, less natural, and less tastefully done here than in any other developed country.

- As a foreigner you can only stay at maybe half the hotels and guest houses around the country. The others will simply not allow you to stay.

- As an American you'll deal with special attention from the government.

- Going to a hospital where nobody speaks your native language is one of the most stressful experiences you will have.
Good, he's been a terrible leader. ruined the company, and has not an ounce morality
Fluent Forever teaches how to make effective SRS flashcards, based on science and personal experience. I think many of the methods taught by Fluent Forever would work for other domains outside learning foreign languages.

Here are some of the more important points:

- Make your own flashcards (don't just use unmodified decks made by other people). Just the act of making the flashcards exercises your brain so you will be more likely to recall in the future, even if you never use the deck.

- Make personal connections between the facts and yourself. Like if the fact is about `await`, use the first time that keyword helped make your code more readable. What function were you awaiting?

- Connect the facts to visceral feelings/emotions. Perhaps some things are categorized by inconsistent/illogical categories (like German genders). Attach that category to feelings/emotions like hot, cold, explosive, sexy, sad.

- Use images because the brain is better at recalling images than abstract facts.

https://lifeclub.org/books/fluent-forever-gabriel-wyner-revi...

https://www.grahammann.net/book-notes/fluent-forever-gabriel...
UBS to buy Credit Suisse for nearly $3.25B USD
It's all about incentives. If there's enough incentive for them to do it, they will. "Better" doesn't always have much to do with it.

We make incremental gains as a human race, not necessarily optimal ones.
If you are talking to someone it's bidirectional and high lag can make a conversation annyoing where you interupt people