skysight-inc/HackerNews huggingface dataset:
> There's always groups that live in the dystopia and groups that don't feel the effects of it. That's the current state of the world. 1% of the population (including basically everyone on this site) live in luxury, while the rest of the 99% of the population toil under increasingly desperate and precarious living standards.

Wait, what? I don't think everyone on HN is a billionaire tech mogul. Most of us are probably just common office worker schmucks. This is one of the main ways the actual Elite 1% works to divide us, by trying to convince the blue collar half of workers that it's those uppity white collar workers who are the problem.
I haven't done this in a while, but somewhere in my notes I have a formula to determine sample size based upon power and the effect we want to detect.

After we hit that size we would analyze the results. If they were ambiguous we just picked the one we subjectively felt was the better choice.
ChatGPT’s house style doesn’t really use single quotes, slashes or dashes like that though. I’m skeptical
From my experience with this (in 2018), scipys non-gradient optimizers are not very good/
Sam Altman needs to step down.
And that of needing the games cd case for Meryl's codec if you wish to proceed further in the game, iirc.

Otacon: "there should be a codec number on the back of the game box"

I do enjoy when they include pseudo-reality in to character.
I was hoping that including profanity would prevent code from being hoovered up by Copilot, but that doesn't appear to be the case. That's too bad.
It's way more than just the sphere, it's simulating all the surfaces and materials that the sphere interacts with. Particularly the mechanical pieces with their own movement as well.

The comparable level of detail to get pinball right would be something like simulating all the rubber gaskets and surfaces in the ailerons and elevators, all the fluid dynamics in the hydraulics, and so on.

If you invested something like the $100 million that Boeing or Lockheed must have done in their simulators, you probably could. Video pinball isn't exactly that big economically, though.
Oh man I am sorry you had that experience. I look back on CS61A with SICP in Scheme (taught by Brian Harvey) as one of the most enjoyable and enlightening experiences of my college academic career.
Whether LLMs will be a base technology to AI, we should remember one thing: logically it's easier to convince a human that a program is sapient than to actually make a program sapient, and further, it's easier still to make a program do spookily-smart things than it is to make a program that can convince a human it is sapient. We're just getting to the slightly-spooky level.
If you are paying people to operate in the cogs in a machine style, there are other cogs depending on them. You need them performing at certain times and at a certain rate, or the assembly line breaks down.

Different roles are judged on different work; "I pay you based on what you get done in an hour" is supportive of fundamentally different work than "I pay you based on what you get done in a year" or "I pay you based on how much you get done".
In some ways yes. But there are absolutely differing degrees of inconsistency in a language.

Make is pretty darn far down the "deeply inconsistent and error-prone" side of things when you try to do anything correctly and reliably with it, particularly on multiple systems and across various implementations/versions. It survives because it's ubiquitous and just barely good enough.
r/compilers, r/databasedevelopment (I run this one), r/emudev, r/programminglanguages.
If it had no model of what it was writing about it wouldn’t be able to write anything coherent. It obviously has a world model, it’s not as advanced as what a human has but it’s there
I used to know a guy that had a math phd and worked as a data scientist in a hedge fund in nyc (a big one). When I asked him about how his profession works, he often found that management folks that employ him often come to a business conclusion and then ask him to make that data support that conclusion.

Given that he was paid stupid money, I would be inclined to do the same.
Replication of high-temperature superconductor comes up empty
They list search in their public api

https://github.com/googleapis/googleapis/blob/288aa7fb71c9b6...
It's just impossible to get my point across to some people. What happens when a company gets too big and is split by the government? Do the CEO and the shareholders go request this?
It's not too late. You can still make music!
Good point. The Chat GPT example was really only meant as a statsig test in a fun way.

You're totally correct in saying that forgetting the effects on other parts of the business is where a lot of the analysis needs to be directed.
I grew up on pinball. My dad would buy/fix/sell pinball machines and jukeboxes as a side hobby - and of course we'd keep some for ourselves. I absolutely LOVED learning how these machines worked. Being able to go from a beautifully designed playing field to then flipping that up and seeing how it all worked on the underbelly. That trait of learning how things worked under hood has carried with me ever since (and as a SWE - I use it everyday!).

To this day - myself and my sibs each have one of our childhood pinballs at our homes. For me its 1980 Black Knight by Williams (one of the early pinballs to have "voice" sounds). It's in our garage now. It's pretty cool to watch my kids and their friends play it. A refreshing alternative to screens IMO.
I presume he means parts are likely to need replacement- i.e. that either move or are susceptible to degradation from heat. If you have to replace a resistor that's a freak occurrence.

Yes electic cars do have heat and moving parts but it's more manageable. Fewer moving parts, no reciprocation like connecting rods and valves, no vibrations to speak of, and lower temperatures.

If you look at the service manual for even quite modern cars, you'll see a vast number of parts that need to be "inspected, replace if necessary" at various mileage intervals. Sensors, hoses, filters etc. All due to combinations of reciprocating motion, heat cycles, and chemical breakdown.

Also you have to bear in mind that we are probably close to the peak of ICE technology. What we have now, we have after decades of development. Electric cars are already competitive after a couple of decades of serious R&D.
These people somehow passed existentialism by entirely. Nietzsche was just the beginning of a whole wave of thought bent towards grappling with a meaningless world. It's so philosophically impoverished to commit yourself to "rationalism" and then immediately begin rebuilding religious ritual without ever applying your vaunted reason to actually dealing with the absurd head-on.
A dead assembly language sounds like a Hilfinger thing. Taking 61B with him was an experience. He started by asking us to look to our left and to our right. He told us that one of us would not make it to the end of the class, with pride in his voice. He was right about that.

In his defense he would also work very long hours answering emails from students. The night before projects were due he would hang out in his office all night in case people had questions. He'd return submitted code to you with detailed comments about how to write clean, readable code. More so than data structures I learned how to write readable code in that class.
Context is very important. With close friends anyone can say anything and it’s brushed off. In a tense business meeting where the difference in big money is how two groups speak and act, it makes sense to be calculating.
> I feel like I could just go through the docs for for java / kotlin collections lib and cracking the code interview, and get a good understanding of DS / algos. What would this offer beyond that?

It offers video lectures -- did you look at the link?

Not everyone learns the exact same way. Maybe this is upvoted because people (on aggregate) prefer the course's contents over reading through Java libraries?

Also, honestly, language libraries can be hit-or-miss in terms of algos since they reward optimization over simplicity. Python's standard sort (apparently Java's too?) for instance is Timsort [1] — not necessarily what you want for an introductory course.

----------------------------------------

[1] https://en.wikipedia.org/wiki/Timsort
I know the HN hivemind just updoots whatever tickles the hive-fancy for the day, but in my current day, it's hard to see this trending on HN and think anything other than software engineering as an industry has simply given up, and is just becoming things like breadmakers now. Farming, pottery, basketweaving are probably also decent career segues.

I literally got so fed up with trying to debug another team's service that I stood up to quell my frustration by eating, like most people do. In my attempt to procure a sandwich, the POS terminal — which has only a hole for chip and pin cards — asked me to swipe the magstripe on my card.

Since I can't even buy a sandwich, I suppose this guide will come in handy for the bread.
Zoning actually addresses both construction and land use and often a lot of other things. Where I live, it would be absolutely routine to see something like short-term rental restrictions in the zoning code.

By the book, "Zoning is a legislative act dividing a jurisdiction's land into sections and regulating different land uses in each section in accordance with a zoning ordinance" [1]. So in theory, zoning rules deal with any kind of "land use", however the governing body chooses to approach the topic. In practice, you'll of course see zoning district rules that describe some of the more obvious "allowed uses" such as "dwellings, one-family, other than mobile homes" as well as construction/building characteristics like "detached homes", "townhomes", "multi-story buildings", etc. I think that is the kind of thing you're expecting of a zoning code, and it's definitely a big part.

But, zoning regulations get quite specific in dealing with uses too, and often these details have little or nothing to do with the buildings or construction. A major example is what kinds of business uses are allowed in a particular zone, for example: "Retail stores selling soft goods, clothing, leather goods, health aids, eye glasses, toys, jewelry, cosmetics, printed materials, glassware, home furnishings..."

It goes beyond characterizing the primary use of a parcel or structure. "Accessory" and "prohibited" uses are often even more specific, e.g. "entertainment (piano player, guitarist, small combos, dancing, etc.) in restaurants and movie theaters". You'll also see regulations for things like in-home occupations (hairstylists, massage therapists, etc), gardening, operation of vending machines, storage of construction materials and refuse, butchery and meat processing, etc.

Certain "performance" requirements are also sometimes listed, which usually deal with noise, light emission, and other nuisances, but these can get as oddly specific as this: "All surfaces shall be of a dust-free nature."

All examples listed are from the zoning code where I live [2].

[1] https://www.law.cornell.edu/wex/zoning
[2] https://ecode360.com/28334794
https://docs.google.com/presentation/d/1dWqymxQxZrMWYl76GfJo...
They were definitely doing that when I worked in a call center in the mid-90s.
Apple's maps, navigation, and routing are also inferior to Google's
I don’t know much about him but I thought he was a researcher? There is an “Academic publications” section on https://en.m.wikipedia.org/wiki/Eliezer_Yudkowsky and it says “He is a co-founder and research fellow at the Machine Intelligence Research Institute”

LLMs are not self aware, I agree, but there is clearly some reasoning going on and you could argue that its model of human behaviour can somewhat simulate self awareness
Yeah I was wondering if it was a PR move. Technically, it does put the focus on lower-wage districts indirectly so the result is similar. The fact that it's specifically aimed at communities with a majority of PoC left me the impression that I was missing some context element.
Not all disabilities are permanent! Sometimes you're just situationally disabled, i.e. you're in the car, or carrying a child, or sleep-deprived, or just stressed out.

Accessibility features can help everyone.
Memes can get old fast: a few months ago, it was hugely popular for podcasters/journalists/etc. to use ChatGPT to generate some sort of introduction for their work.
New model seeks to explain how humans interact socially with robots
>They are in the unique position to enable local AI tools

The only unique Apple thing here is how bad their AI products here and how behind they are in AI. This is the only thing that matters here - performance is adequate or better for the other processors out there, but you can't get anywhere without the appropriate software. Maybe they'll get smart enough to buy some AI startups/companies to get the missing talent.
We are definitely about the enter the 'find out' phase within the next 8 years
In the case of a place like Florida, parts of the gigantic aquifer that extends under that State and up in Georgia get backfilled by brackish water once depleted below a certain level and this effectively destroys it, preventing refilling or refreshing because of the salt content that gets introduced.
Dumb question but how do you do this? Are you gripping the machine with your hands and literally lifting it from different sides?
This is slick -- It's not explicitly documented anywhere but I hope OpenAI has the necessary callbacks to terminate generation when the API stream is killed rather than continuing in the background until another termination condition happens? I suppose one could check this via looking at API usage when a stream is killed early.
Former CEO of Autonomy to Face Conspiracy, Fraud Charges
Yeah... There are ways to get a probability score on whether an AI generated something.

Asking a model whose job it is to generate the words which most often follow the sentence "did you make this?" is not one of them.
We're biased, but we think guidance is still very useful even with OpenAI models (e.g. in https://github.com/microsoft/guidance/blob/main/notebooks/ch... we use GPT-4 to do a bunch of stuff). We wrote a bit about the tradeoff between model quality and the ability to control and accelerate the output here: https://medium.com/p/aa0395c31610
Does it compile ? (the code generated)
An accurate description of a good many politicians.
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Build a Routing Web App with Neo4j, OpenStreetMap, and Leaflet.js
"if you opened the notification center with a Braille display connected"

This sounds obvious, but imagine all the combinations of all the features that can interact, and then imagine having to test them all manually, because there's no automated model for specific Braille displays.

For decades, integration testing teams outnumber developers. It's just a hard problem, particularly at Apple's scale. It's not unlikely that there are only 10's of users experiencing a bug (though this one likely has thousands), and that it would take doubling or tripling the size of teams to find all these bugs before release.
Whew, thought it was to Windows 11.

Win 10 21H2 to Win 10 22H2 wasn't a very dramatic change for my gaming/etc machine.
That’s the Retail Search API, as seen in your URL.

https://github.com/googleapis/googleapis/blob/288aa7fb71c9b6...
> She readily confirmed that her JPMC laptop shipped to her via her company's address, and her outside management had informed her to "be careful with it."

That’s standard for company laptops. Nobody should be using the company laptop, which contains sensitive company information and access, to play games or whatever. Use it for work, then go use your personal devices for personal activities.

> Her JPMC management told her that she had to put it on a "normal network" after she got a dedicated LTE network for it that was literally only used by that device alone.

Common security requirement. Mobile connections tend to have frequently changing IPs. This creates problems with security software that tries to detect anomalous behavior.

> She was reprimanded for not turning on her webcam during meetings,

Having video on is a meeting requirement at some companies. It’s not unreasonable, even though some people dislike it. Video meetings are supposed to be analogs of meetings, where people talk face to face.

> She said "Sorry the camera just stopped working" and the next day a new machine arrived at her home, the address of which was not given to JPMC at any time.

I think you’re being fed exaggerations, or your friend doesn’t remember giving them her address. There’s no way a company would just guess an employee’s address and ship a $2,000 laptop there, hoping it arrived at the intended recipient.
I think it's still debatable if there are any AI researchers at all because ML is not AI by a long shot. Also I think he considers himself more of an AI philosopher than a "researcher" anyway, and that, in my opinion, gives his words as much weight as any others'.
Did ChatGPT generate that "What's New" article? Not exactly exciting for a human: "quality improvements to the overall Windows experience in existing feature areas"
>502 Bad Gateway

lol we broke it
> Often, it's just an excuse to buy more gear.

Honestly, that's good enough for me!
Yep, it would not be exceptional to see short-term rental regulations in zoning codes in the US. I'm guessing in some states you'd have legal challenges if you required owner occupancy or even perhaps establishment of residency or domicile, but it's fairly universal in this country that you could write zoning laws dealing with transient occupancy and accessory or primary uses that resemble hotels, guesthouses, B&Bs, etc.
The clue is in the name, it's a large language model.

When I asked ChatGPT "Does ChatGPT have a world model?", I got this output:

"ChatGPT, like other GPT models, does not possess an explicit world model. GPT (Generative Pre-trained Transformer) models, such as ChatGPT, are trained on a large corpus of text data from the internet and do not have direct access to real-time information about the world. They rely solely on the patterns and information they have learned from their training data.

While GPT models can generate contextually relevant and coherent responses based on their training, they do not possess up-to-date knowledge or awareness of current events. Their responses are primarily based on patterns, associations, and statistical regularities present in the text they were trained on, rather than an explicit representation of the world.

It's important to note that GPT models can occasionally generate plausible-sounding but inaccurate or misleading information, especially when prompted with questions or topics beyond the scope of their training data. Therefore, it's always advisable to verify information from reliable sources when seeking accurate and up-to-date information about the world."

When I asked it "Does a large language model infer an understanding of a topic?", it gave this output:

"A large language model, such as ChatGPT, can exhibit the appearance of understanding a topic due to its ability to generate coherent and contextually relevant responses. It can make inferences based on patterns and associations learned from its training data, which allows it to generate text that appears knowledgeable about a particular subject.

However, it's crucial to understand that this understanding is derived solely from statistical patterns present in the training data, and the model does not possess true comprehension or conceptual understanding like humans do. The model does not have access to real-world experiences, common sense, or the ability to reason in the same way as humans.

The responses generated by a language model should be interpreted as a combination of learned patterns and statistical associations rather than as genuine understanding. The model lacks the ability to deeply grasp the meaning, implications, or nuances of a topic beyond what it has learned from the text it was trained on. Therefore, it's essential to approach the responses generated by a language model critically and corroborate information from reliable sources when necessary."
I've had my eye on Taxi for a while, and it's neat! I agree that the problems it aims to solve are real and painful in real life.

In my experience, I'm not sure people care about schemas or schema languages — they are just implementation details best left under the hood. This is why in my own work, I started on the query end of the spectrum instead.

This is why I built Trustfall, a query engine able to query any data source: DBs, APIs, files like PDF, CSV, or JSON, or any combination of those.

GitHub: https://github.com/obi1kenobi/trustfall

Playground showing the query "which GitHub/Twitter users comment on HackerNews stories about OpenAI?": https://play.predr.ag/hackernews#?f=1&q=IyBDcm9zcyBBUEkgcXVl...
> If it had no model of what it was writing about it wouldn’t be able to write anything coherent.

It has a model of the structure of writing on the internet. It can produce text that adheres to that model. That's all that's required for coherent writing.
It's not talking about people who are "calculating," it is talking about people who switch between negging you and complementing you in a way that causes you to think about them too much.
Now. It was just two decades ago that Apple was on life support. That could happen again. And the temptation would be much stronger to start monitizing their user's data.
Nuts!
This is a tangent but it reminded me of Christopher Hitchens when he used to claim that waterboarding is not torture. He then subjected himself to waterboarding to prove that it's not torture and changed his mind in 5 seconds.

Despite me not agreeing with a lot of what he said I really respected that he was willing to put his belief to the test and then actually changed his mind when he was proven wrong.