skysight-inc/HackerNews huggingface dataset:
It does come across as a bit glib, but I empathize with the author.

I worked in legal higher-ed for a long time; I have absolutely no legal education, but my job involved reading lots of writing about the law, both for expert and non-expert audiences. Accurately conveying the importance of a topic without getting into the nitty gritty or running into collisions with colloquial and legal word usage is tough. Even that one paragraph I quoted had like 6 citations or something, and that's not just to satisfy technical requirements. There's just so much subtlety behind even very common words like may, must, shall, and will when used in a legal context that it seems like context switching is tough. The word count seems to grow logarithmically with the factual and conceptual detail, and even then you're leaving out a lot of padding beneficial to laypeople. We ran an open database of caselaw and we regularly got questions from well-meaning folks trying to inform themselves about some legal predicament by reading the cases, but it's just not feasible. Lots of folks argue that the whole thing is just based on shitty writing practices and gatekeeping legal knowledge, which might be true, but the difference is still consequential now. I actually think this is one area generative AI will be a huge boon, though I was skeptical until pretty recently.

Also, accessibility is a concern. Lawyers doing this sort of work are often very concerned with making their work useful to general audiences. Since subpar access to educational resources and cognitive disabilities are over-represented among low-income people, they're the most heavily affected by this. I wouldn't be surprised if they avoided a lot of nuance assuming curious people would just read the brief. I imagine they'd have written it differently specifically for a largely college-educated professional crowd, but I can definitely see why they didn't.
> would you place it in zones historically more plagued by that kind of crime or in zones that experienced it scarcely?

Both. I don't skip out on adding monitoring to my applications that don't crash as often. The crashes might be less frequent but that doesn't mean I don't need monitoring.
I'll sign the commit.

I'll also post the private key, because one of my dreams is to as fully enumerate the space of public/private keypairs as possible!

Now everyone is happy right?

Lets be real. It's more about people wanting a blame ratchet. It doesn't increase trust. And I 100% accept the reasoning that Github is something to be avoided. I will not continue submitting tokens to Microsoft's datasets.
Could you mention three?
It is amazing how people complain about the energy and resources requirements for running AI while fail to notice the massive amount that is being used by the crypto mining, that at least in energy is more than what use several industrialized first world countries.

At least AIs have some objective value.
Is it a good effect to have? Deserts are their own eco-systems.

Although some deserts are encroaching onto green areas, but preventing/reversing that is a solved problem. China is reclaiming about half a million acres of Gobi Desert expansion annually with their Great Green Wall project.

https://en.m.wikipedia.org/wiki/Great_Green_Wall_(China)
Sad to hear of Ilene Ruhoy’s experience here.

She is a wonderful clinician who has enormously helped other patients with complex diagnostic paths and with diagnoses that are severely neglected.
The article is fiction. The company launched less than a year ago. The founder claims that the company has had more than 100 clients, in less than a year? Pure marketing fiction — I doubt more than 10% of this article is true.
Ghosting seems to be the norm now, even after several rounds of investment in interviews.

I haven't figured out if it's due to poor manners or just plain cowardice, but oh man it's all over the place now.
Our greatest success was letting Elon get as far as he did. Our greatest failure was not removing the power the wealth enables once he weaponized it.

[Edit: Removed a statement that was interpreted in a way that was not intended] The concentrated wealth is undemocratic power (which is of course appealing to some mental models), it is not magic number goes up that is the concern.

As sibling comments says, optimize for innovation from more people, not enabling billionaire kings. Millionaires are fine; comfortable, and mostly harmless. Billionaires believe themselves to be gods, untouchable. This is a policy failure.
Both Android and iOS support this. Disabling and re-enabling for when you’re expecting a call that is likely to be blocked/marked as spam is a pain though.
That is my understanding as well - but that is a completely different cause than what is being claimed.

Notably, while individual landlords are much more cash flow sensitive (as in per-unit issues), even big companies will have issues if these problems happen 'at scale'. And those problems will be monstrously large when they happen.

Occupancy taxes will just make the bubble pop that no ones wants to pop, since the issue is dropping rents will trigger defaults due to financing issues because financing is still more expensive than it was, and that isn't going to change anytime soon. And said taxes would trigger high cashflow costs, which would just force companies into bankruptcy ASAP.

Same with the bond issues that took out a bunch of banks last year, and still are causing structural bad debt issues everyone is trying to ignore right now.
I use NixOS, both on servers and on my machines, but it solves a completely orthogonal problem.

Kubernetes manages a cluster, NixOS manages a single machine.
You want to use as little paste as possible while fully covering the heat spreader.

Most modern coolers will provide sufficient pressure to spread a pea sized amount of thermal paste to cover the whole cooler.

There are also thermal pads, both reusable and single use, that perfom well and don't require any guesswork.

If you want to paste, noctua has the best paste in terms of thermal resistance, but mx4 or mx5 both perform well, as does cryorig and a bunch of others.
Ok so you are admitting that just as evolution is a poor model for human height, DM is a poor model for galaxy rotation curves.
yes, but not as a checklist of things you have to do, instead it's a valuable discussion of lots of problems and how they were solved in specific circumstances.

learn from it, don't copy from it.
Then why do we need it anywhere?
> So 99% of the time a business’s “greed” gets written about, and there are publicly listed businesses that can be referenced, notice that no one links to the increasing profit margins to prove the greed. Because the claim is usually false.

Hmm:

> Progressive gross profit for the quarter ending December 31, 2023 was $2.665B, a 127.67% increase year-over-year.

> Progressive gross profit for the twelve months ending December 31, 2023 was $5.547B, a 224.14% increase year-over-year.

> Progressive annual gross profit for 2023 was $5.547B, a 224.14% increase from 2022.
> Progressive annual gross profit for 2022 was $1.711B, a 63.64% decline from 2021.
> Progressive annual gross profit for 2021 was $4.707B, a 38.19% decline from 2020.

Source: https://www.macrotrends.net/stocks/charts/PGR/progressive/gr...

GEICO:

> 2023 pretax underwriting profit of $3.6 billion

> 2023 underwriting profits for the remainder of primary operations coming in three-times higher than 2022 and more than double 2021, with written premiums growing 24.1 percent to $3.5 billion.

> P/C reinsurance operations adding another $2.0 billion in pretax underwriting profit.

Source: https://www.carriermanagement.com/news/2024/02/25/259036.htm
I'm not sure this part of the TOS is valid in many jurisdictions. But there is a better reason to not publish benchmarks: they do not deserve free advertisement. We should just collectively forget they exist and use other tools.
I understand your point. However, I am saying, the barrier was already low and the activity was already happening before. It was not a big deal until people smelled AI has a lot money and let's make it a big deal.

Just use the existing laws and social norms to punish badly behaving teenagers, no need to invent new AI laws for that.
that's a thing you can do, and there are lots of sources of inspiration for that kind of thing; i'd point at the pico/rp2040's pioasm instruction set, the vt52's instruction set (see the dec manuals on bitsavers), and ken shirriff's analysis of the 8086's microcode http://www.righto.com/2023/04/8086-microcode-string-operatio... for examples

but i think you can also often get some advantage by going in the other direction; for example, the smalltalk-80 virtual machine has bytecode range 176–207 dedicated to 'send arithmetic message' and 'send special message' bytecodes which i think send messages with the selectors +, -, <, >, <=, >=, =, ~=, *, /, \\\\, @, bitShift:, //, bitAnd:, bitOr:, at:, at:put:, size, next, nextPut:, atEnd, ==, class, blockCopy:, value, value:, do:, new, new:, x, and y. almost all of the time these boil down to a regular cpu instruction or two, because the receivers are built-in classes with primitive methods implementing those messages, but a method containing them can also be applied to objects that implement different methods for them (large integers being the most common example). this implicitly makes smalltalk methods for things like sorting, data structures, and numerical algorithms polymorphic over arbitrary data types, as in ocaml. so you can get by with a single generic version of the subroutine instead of various specialized versions
The predominate view of AI is that it is essentially magic. Which of course couldn’t be further from the truth.

But I find these arguments much easier to understand if you look at it through that lens. Of course magic can cure cancer because… it’s magic!
The definition of "Earn" is what most genuine observers would debate. By definition, any interest/dividend bearing asset is a claim on a portion of societal output. As the majority of wealth in the US is now inherited, a rational individual might challenge whether such assets were "Earned". It's easy to take the opposite claim that those "Earnings" are the property of those who produced via income, or even those who consume via net savings.

The fine balance between income and savings are well understood through inflation/deflationary cycles - however there are less understood profit cycles. There are many historic examples of the political problems which emerge from too large of a profit burden - such as the French Revolution, Shogunate, Bolshevik's, and arguably the US revolution and Soviet Dissolution.
Agreed. I finally just went with the nuclear option and blocked all calls that aren't already in my phone book. This has resulted in some missed connections and other inconvenience but I've decided the benefits are worth the downsides. More and more people I know are doing the same.

Some companies, like my dentist's office, are finally adapting and providing ways for their employees to text if there's no answer. I wish the FCC/phone cos would add some kind of 'return code' to callers who are blocked by this setting which indicates "This number only accepts calls from numbers in its phone book."
I just want to go on record that given the simplistic (i.e fun) problem, a shell developer would have had the answer to a first, specific set of billion rows done while all the other language were still putting on their shoes.
EMO turns audio into a realistic talking head
and if it doesn't work, just mash each button. Seems like at least one of them mutes it.
Since this is probably London, they probably had to pay stamp duty tax and property taxes. On a 10 million pound property, that'd be around 1.2 million pounds.

On top of that, there's annual property taxes for London. I don't know if there's any discount for primary residences, but they wouldn't be getting it for a property just for their dogs.
'Slow Productivity' Review: Working Better, Not Busier
I don’t know about in psychology, but it’s just black-and-white thinking, informally, right?
Thanks for playing and for the suggestion! We like the idea of players learning the game gradually themselves without much help, so that's why we kept instructions at a minimum. But we have included a lot of different mechanics in the demo so maybe it makes sense with a little more info there!
I was just going to suggest that talk! Data locality is arguably the most important thing to consider when writing CPU intensive applications.
Java can be faster than Go, but it comes at the same cost as most "faster" things in software: Java uses significantly more memory.

Java is also more mature, which means you are entering a massive package-bloat setup that has evolved over the years to work for everyones wild and varied needs. By the time you have your database, cache, http/other handlers, tests, fixtures, metrics, logging, tracing, etc... setup you're looking at a scary pile of dependencies spanning thousands of classes that would make even NPM jealous.
Something the intro of this video missed a little bit is that most derivatives are linear — no optionality.

Options are a relatively tiny market, but are nonetheles key to reasoning about markets.
I’m not sure what you mean by that reducing service usage.

The earliest version of the product really was just nginx behind some containers, but we outgrew the functionality of existing proxies pretty quickly. See e.g. keys (https://plane.dev/developing/keys) which would not be possible with clustered Caddy alone.
Soon Twilio will charge an additional $0.025 on international messages
Jeez, I don't know how you would think that I thought that LLMs would have a sensation for hunger. That was not even close to my point at all.
Can you please expound on what Social SRE is? Is some public handle of an engineer, a name for an internal group, or something else?
In the US this term is used to distinguish a country's government from its people. It refers specifically to a person or enterprise acting at the direction or as part of a country's government or military, as opposed to a private citizen. That's an important distinction in a country obsessed with protecting civil rights where nationality is a protected class. Under US law, preventing the purchase of a house based on national origin is unconstitutional. But if they are acting on behalf of a foreign government... You get the idea.
Video with spread patterns under transparent plate:

https://www.youtube.com/watch?v=wn2ln04dquM
It’s open source
Sure, you can argue with allmost any product that you can buy, that along the supply chaines, you are in part financing some (or more) war(s) and violence.

And most people cannot decide, what their governments do with their tax money, yet starting a political campaign is not something most have the energy and time for it (if their leaders even care about that).
> Exactly how much power does this Goodyear data center use, and how much of it is renewable?

You could probably see the Palo Verde nuclear plant if you climb up on the roof of that data center...
Billionaires are building bunkers and assembling fortresses
How did you generate the timings on: https://benhoyt.com/images/go-1brc-profile-r9-source.png ?
this is a dumb comment, but yes, part of the role of SREs was helping people make (and then implement) trade-offs around system deployment while deploying things that basically worked as intended.
Use managed k8s, problem solved.
GitHub is under automated attack
"At some point" is an awfully vague phrase.

Currently people are making very pragmatic changes that doesn't require an impossible retooling of the entire area. The direction is clearly against carefree software, but nobody seems to be moving any fast on that way.

We don't even know if people will hold that direction on the long term. This is not the first pro-security cultural change that happened in computing, and it's not even touching the fact that the computers themselves are not secure.
How cool is that telegram receiving car!
"Root for" someone means to cheer for someone or look forward to someone's success. You root for sports teams, your kid to do well on their test, or for your candidate to win an election.

Barrack in British English can mean to jeer or boo someone. That's the opposite of root. I've never heard the word barrack used like this in America.
I'm curious about the presumed language.

When we say "She has cancer" we mean "a cancer". (Hopefully she doesn't have all of them!). Why couldn't the sentence "AI will cure cancer" mean "a cancer" as well?
Thank you for clarifying this fact. My comment was more about showing signs of intelligence. Maybe I oversimplified my statement too much.
>(Can't believe some comments are just sooooooo tone deaf thanking I'm expressing dislike for these amazing artists rather than criticising the industry that feeds on them).

Because it's an over-dramatization. Lou wrote those songs and put them out for commercial sale. No one made him. They aren't being doubly exploited in his death.
Google SREs also end up investigating single machine issues, fyi.
You can also undervolt most modern AMD parts and actually gain performance
sounds easier and less expensive than building a music hall or museum
https://forums.zotero.org/discussion/110371/available-for-be...
There is no easy solution to manage services and infrastructure: people who hate kubernetes complexity often underestimate the efforts of developing on your own all the features that k8s provides.

At the same time, people who suggest everyone to use kubernetes independently on the company maturity often forget how easy it is to run a service on a simple virtual machine.

In the multidimensional space that contains every software project, there is no hyperplane that separates when it’s worth to use kubernetes or not. It depends on the company, the employees, the culture, the business.

Of course there are general best practices, like for example if you’re just getting started with kubernetes, and already in the cloud, using a managed k8s service from your cloud provider could be a good idea. But again, even for this you’re going to find opposing views online.
My understanding is the issue is a different one - these big corporate places can't reduce their rents because if they do, their 'stats' (claimed value due to stated rental prices x units) get bad, and they're all so highly leveraged they potentially lose their financing and their house of cards will implode.

In some cases, they'll literally default if the number goes below a certain value. They already are in deep trouble with the cost of financing going up (3x in many cases) due to fed rate increases, as commercial loans aren't 30 year fixed like typical residential ones are. Think 5-7 year variable rate, or weirder, and often 3-5% higher than the nominal mortgage rate as commercial loans are riskier (not gov't backed).

Nobody (except individuals, maybe) wants the system to implode right now, including lenders, as everyone is hoping for a post-covid boom that will get everyone out of trouble.

It's also why they give so many 'incentives' in the form of free months rent on signing. They still get to claim the higher rent on their stats (keeping the overall nominal value of the complex high), put the incentive under a marketing cost, and voila.

Normally, these financing deals do 'gimmes' for high vacancy rates/ignore them because typically that is temporary - it impacts cash flow, but not 'value'. Everyone has gotten used to ignoring cash flow (to their detriment IMO) over the the last many years, and has been basing their portfolio on 'value'.

The units sitting empty thing 'works' until the cashflow becomes an actual problem, at which point they are bankrupt and the whole house of cards implodes anyway. But wil-e-coyote wise, that may never actually happen, which is why they keep doing it.

Personally, I'd be shorting all these ETFs if I was bored and had enough cash sitting around.
EMO: Emote Portrait Alive – Generating Expressive Portrait Videos
Metal in glitter impairs aquatic plant growth, study shows
(disclaimer: I'm a casual user of ChatGPT and haven't gone too much into the how it works)00

Given its nature as an LMM and a complex next word predictor, the phrase "it is important to remember" could be a way that was inadvertently trained so that it keeps itself on track.

If it has "some points, it is important to remember {something}, some more things" it may be able to better generate text compared to "some points, weird tangent".

Since it doesn't have a hidden memory, everything that it "thinks" is out there in the text including its own cues for what it should do. It also can't go back an edit its previous text to remove the self hints or clarify earlier points without calling them out. That style of writing differs from natural human writing since we are able to keep on topic (or not) without needing to write messages to ourselves that others can read.

When we do, it's pointed out rather than trying to slip it in casually. "Note to self or reader" for things that are to be pointed out and break the flow of the text or "as an aside" for the tangents.
i would think most people object to calling SREs sysadmins.
the SRE teams that worked around various Google "Social" [media] products
"AI will..." is either the som of human hopes and dreams, or the sum of human fears. I wonder if industrialization was anything like this (though I don't think ML will end up being comparable to the industrial revolution).
Management companies work for owners? Not the other way around.

How would a management company force an owner to do anything they didn't want to do?
Manichean delirium

Many such cases on web-forums frequented by otherwise intelligent people
Am I imagining things or is there a trend here?

Seems like we get more and more generalist approaches which are less specific and combine a lot of what used to be individual steps and techniques. In doing so they don't only become conceptually simpler but surprisingly more accurate as well. Possibly because a unified approach is more integrated and thus better at filling the gaps in one sub-problem with information form other sub-problems.
but recall the adage - concave up cup concave down frown.
frown is definitely something to be concerned about.
Yes, the article is a good historical review, but like other “what is REST really” explanations, the example only works when an English-speaking human is the client. It doesn’t work as motivation for building APIs this way.

A computer doesn’t know what the word “deposits” in that link means, unless the programmers on both ends agree on what it means. At that point it doesn’t look that different from agreeing on the possible values of “status” in the JSON.

But wait, maybe we can just put ChatGPT on both ends and hope for the best… :)
I also share the author’s concerns.

I keep coming back to the fact that if you asked even GPT 3 how to solve climate change, it would give you a perfectly good answer. We have this idea that AI will “solve climate change” at some point in the future. What we really mean is “give us a different answer to climate change that has zero cost”.

Climate change is not currently being solved because of politics and existing systems, not because of a lack of intelligence.

There are so many similar situations in medicine. Intelligence is not enough- you also need a system capable of acting with that intelligence.

AI could be transformational, but not without systemic change to support it.
> Computers and other gadgets always start out as toys of the rich

But is this a function of moore's law? I have to say that OpenAI's training costs seems to be growing exponentially, not declining exponentially.