skysight-inc/HackerNews huggingface dataset:
This doesn't look formal at all.

Usually formal theories need a logical mathematical language to fully characterize it. I scanned the wikipedia of cybernetics and it's just not it.

Control theory or signals is the closest formal theory to cybernetics. The problem with this theory is that it only characterizes very specific systems that have ordinal values as inputs and outputs. What if the input is text? What if it's tuples of tree like tokens?

The closest theory that encompasses the intuition of what we think of when we use the word "systems" is category theory in my experience. And this theory is in fact sort of too general to be very useful.
There's absolutely nothing counterintuitive about that at all. It's one of the most core principals of finance that as interest rates go up bonds go down.

In fact it's so direct that they are quite literally the same thing. The difference between the face value of the bond and the actual amount you have to pay to buy the bond is how you define what the interest rate is.*

* Yes I know subject to time to maturity and coupon and all that.
Done. Same address as is on my profile.
Nah, it's that they feel they didn't make enough from FAANG cos they got there too late (everyone in a successful growth company feels this way) and want to try again.

Additionally, at the time they joined FAANG those companies weren't as big and they might prefer that environment (I know I do, at least).
I hope that eventually such an argument would sound like that using a security envelope is a sign of guilt.
Bank Run at Silicon Valley Bank
I am certainly not saying there aren't some advantages to an oligopoly, as the auto industry illustrates. But I do think the disadvantages exceed the advantages by a very large margin, even in the auto industry.

For instance, there are aspects of new cars that are ubiquitous and I find so objectionable that they prevent me from buying one, probably ever. If the market were more vibrant, I suspect that I'd have real options aside from "I can't have a newer car".

Also, oligopolies don't automatically mean that the products are improved. Usually, it's just the opposite.
I've poked at it in some similar realms.

Thus far, it's given me one good gem (some meal planning advice), a couple of mildly interesting suggestions for code and writing, a bunch of relatively boring drivel, and several hilariously bad hallucinations, confidently wrong answers, and other sorts of mistakes.

I'll probably continue to poke at it, but overall I think its primary positive output is going to be entertainment, not significant utility.
This is what I've been repeating for months/ years. Chomsky had some interesting theories, that for a while, were very worth discussing as frameworks for the emergence of language.

Now we have chatGPT, a very very interesting framework for the discussion of emergence and language. And even more dramatically, it is in some sense empirical. We haven't yet even begun to explore it, but this imo is the allegorical to the discovery of DNA in the context of the theory of evolution.

Before Watson and Crick and Franklin, we had a coherent theory of evolution (ish). We knew all about selective breeding and it was pretty clear that descent and the transmittance of information 'happened'. Mendelian genetics was enough for that. But as useful as a teaching tool like Mendelian genetics is, the entire world changed with the discovery of the actual-particle responsible for that information. The world changed with the discovery of DNA. I don't know the zeitgeist of other competing theories for how that information was transmitted. But what we do know now, is that they were all wrong, to the extent that they don't get mentioned or discussed.

A real interesting discovery extending from ChatGPT is the apparent emergency of language from what amounts to large piles of information and sufficient complexity. It appears that Chomsky may just be entirely wrong.
Post GFC, regulators started assigning risk weightings to bank assets — cash and treasury bills are “riskless” by this metric, most other things aren’t. So if you need $100 of reserves, that can be $100 of treasuries or $200 of car loans or $400 of mortgage backed securities. For obvious reasons, their balance sheets are heavily invested in treasuries now.

https://www.investopedia.com/terms/t/tier-1-capital-ratio.as...
What would be the best / most accurate sub-1-hour intro into GPT and how it works for someone like me who isn't up to date with current ML technology but has some experience working with ML and statistics?
Dynadot is good
Connect distributed clients to a private InfluxDB database
Outer Wilds is probably one of the top ten video games of the last decade. It's not perfect but it mixes the groundhog's-day mechanic with Myst-like elements, all under a folk space genre umbrella.

I almost wish for amnesia to be able to play it for the first time again.
From 2016 to 2020 the two counties with the highest gun homicide rates were Phillips County, AR and Lowndes County, AL, both rural.
Irish-Setter-Cs.txt
Haha, man. Just imagine how much an iPhone would cost if Apple made a few thousand of them per year instead of however many they're cranking out now
Do you really think they just forget about it?
It has a purpose:
https://mail.openjdk.org/pipermail/amber-dev/2020-April/0058...
BRB going to change all my tracking query strings to get around this. don’t be mad at me my OKR is getting tracking to work 2% better.
Smaller neural nets are commonly used in character recognition, but typical smart cameras or embedded robot controllers don't have anywhere near enough compute to run deep networks in real time. The Fanuc I was ranting about in this thread had something like 64MB of RAM in 2018. Maybe some systems are out there using Coral TPUs with custom TF Lite models.

As for PC-based systems, I would be very surprised if deep learning models weren't being used in production somewhere. But in a factory environment you can go a very long way with primitive feature recognition and good control over the scene and lighting, and the customer just cares that whatever you're doing just works and any new method will have to be enough of an improvement to be worth the cost of development time.
Drag force depends on the density of the air, the air's viscosity and compressibility, the velocity of the apple, the size and shape of the apple and the angle between the apple and the air flow.

Funny enough, since Newton's law is m z̈ = ∑ F, the actual velocity of the apple (ż) depends on the mass of the apple after all.

For the approximate force due to gravity, you have m g where g is the acceleration due to the Earth's gravity on objects close to the surface of the Earth.

In total, m z̈ = C ρ A ż^2/2 - m g where C is the drag coefficient, A is the reference area of the apple and ρ is the density of the (assumed spherical) apple.
> That means the computer needs an accurate model of my body

The Lidar capabilities of recent iOS devices should be great for that, and yet... I don't think I've heard of anything like this. It's disappointing.
seeming-to vs actual is a real distinction that can be made in some cases.

However, I don't think you get to make it unless you can define what 'actual' actually is. Saying that the AI can't interpret but only seem-to-have-interpreted is begging the question unless you can then go on and explain what interpret actually means.

It is precisely what is most interesting about the large language models that complex seeming-tos arise from a simple process done on a large scale. If you want to say that humans have access to a qualitatively different 'actual', then you should be able to explain what that difference is, because without that deep understanding of the phenomenon, it's perfectly reasonable to ask how we know that humans do the actual rather than the seeming-to.

Your number 3 is pretty surprising, given that explaining is one of few areas I'd say it's frequently superhuman in. It can also certainly generate imaginings with more fluidity than I can too.

Until we have a really good understanding of how humans do these things, we shouldn't spend any time pronouncing on how there's a huge difference between a capability as ChatGPT has it and as a human has it.
MIT [Course: ] Introduction to Deep Learning – 6.S191 [2023 Edition]
SVB is experiencing a bank run
If you’d read the rest of the article, the reason there is a lot of uninvestigated fraud is because there isn’t currently funding to pay for enough investigators to drive around places like south florida.

In the same vein I’d gladly pay the extra $20/year or so to let the IRS staff up enough that it doesn’t take them 8 months to deposit a check and release my tax return.
Truly game changing.
Completely agree. It gives me the headstart I need that would otherwise take hours of careful searching + crawling through docs, source code, examples, issue trackers, etc.
DPLA is a strategic partner with Lyrasis on a platform called The Palace Project which is an alternative for public libraries and includes a marketplace for acquiring content to lend, circulation management as well as a patron facing app.

https://thepalaceproject.org/
So roughly 5 cents of energy to autonomously pilot a 2 ton vehicle with several human occupants through a relatively hostile and uncontrolled environment…

At scale safe autonomous driving will be saving 100k lives and eliminating over a trillion of dollars in economic losses per year.

This is a minuscule amount of energy expended for the results achieved by any reasonable standard!
Huh?

How is that obvious for "entirety of all earth life"?
If there's no tree, then what is there?

A rhizome, maybe. The article is about literal trees (e.g. dogwoods, oak) and not mathematical structures, but it has a decidedly philosophical bent, and I find the idea of rhizomes to be relevant to that, at least.

IDK, I barely understand what's going on here.
"Even in don't-tread-on-me Texas you aren't free to just do anything just anywhere."

Texas has "normal" zoning laws everywhere but the city of Houston. You will often see people say that Houston has de facto zoning because of deed restrictions and neighborhood covenants, and this is sort of true, but a lot of Houston does allow for more mixed use than other places and the city seems visibly different than L.A. (or Dallas). Lots of restaurants in industrial areas, etc. Houston is ugly to my eye but I don't think this is why.

On the other hand, I don't want pig farms in residential neighborhoods. On the third hand, the in the U.S. the state government (depending on the state constitution) has the legal right to take those decisions away from municipalities and neighborhoods and probably should. It really is too easy to be in favor of building things that are genuinely necessary and beneficial (not pig farms) in the abstract as long as you can't see them.
I'm curious about your view on ONNX. At work we did a few prototypes and it seemed to work well enough for our use cases, and we're moving to it. What is it that we haven't seen yet that gave you trouble?

Admittedly we're on a reasonably easy situation: we just have to deploy models (some from scikit-learn, some from Keras, some from PyTorch) to various users who mainly run a specific version of python under Windows and Linux, with CPU and GPU support.
I miss it in a way. USB cameras were just coming online and we're very good yet when I switched to a different industry. It looks like the company was acquired into an automation machinery parent company.
What if I gave you the complete description of how the brain of a person that speaks both Chinese and English is organised, you could simulate what happens when that person reads Chinese after being told to translate to English. Does that mean that that person cannot translate from Chinese to English just because you could (in theory, of course) do it without speaking Chinese yourself?

Yes, the algorithm is much more complicated, and we obviously don't have the capacity to map a brain like that, but to imply that there's anything except the laws of physics that governs it is... well, not very scientific.
I'm using Infomaniak. I especially like their renewal warranty [0]. It's a few bucks more a year but they renew the Domain even if you are not paying and try to contact you by phone, snail mail etc. They also support IPv6 and DNSSEC.

[0] https://www.infomaniak.com/en/renewal-warranty
I think c) is relevant in that he could compare different things.

A different way would be to consider the child learning a language to be a fine tuning operation over the pretrained human brain.

By comparison, fine tuning from GPT-3 to chatGPT is a much smaller gulf on data and computation efficiency
In my case Kotlin was harder to read than Java, so it really depends on the person.

(Same thing with Groovy, but that one is even worse than Kotlin)

On the other hand Scala looks nice.
I find myself conflicted between two approaches at work:

1. Write a provider/extension/whatever for a tool like Terraform or Pulumi. I live in a world where the infrastructure doesn't move underneath my feet. I am the source of truth. I feel like I only need to reconcile changes when I make changes to my IaC repositories.

2. I could write something that exists in a control plane, like Kubernetes operators or Crossplane. I live in a world where I look at the world, find the delta between current state and desired state, then try to reconcile. This is an endless loop.

I feel like these are different approaches with the same goal. Why should I decide either way beyond tossing a coin?

Some use cases:

- an internal enterprise DNS system which is not standards-compliant with the world at large

- an internal certificate authority and certificate issuing system.
U.S. solar and storage manufacturing jobs expected to grow to 115,000 by 2030
It’s like they say: bears have predicted all 25 of the last 5 recessions
I also use the FF version and have not encountered this problem (to my knowledge).
Ask HN: Why is HN blocking Mullvad?
Today I was presented with a blank HTTP 403 when trying to access the HN login page, but only on Mullvad.

Has HN added new blocking mechanisms, if so why, and how do they work... and more generally, why is blocking VPN IPs becoming more common?

The standard excuse I've heard before is "VPNs are a larger source of abuse". I take issue with this reasoning in that firstly: it lacks a denominator, VPNs are a larger source of traffic in general, abuse should be considered as a ratio. Secondly, VPNs are a known highly NATed collection of IPs, so lots of legitimate users will be thrown under the bus in the same stroke.

These arguments usually fall on deaf ears with most site owners who do not care about user discrimination, and will reach for the easiest blunt tool rather than make their service more fundamentally resilient. I expected more from HN though.
And Scala is stealing OCaml's named pattern matching for records, while Java is replicating Scala's deficiency (positional destructuring only) from a decade ago.

https://github.com/scala/improvement-proposals/pull/44/files
My point was that XML and JSON (and YAML and S-expressions) are fundamentally similar in that they can be modeled as tree structures. So, in principle it might be possible for a programming language to have generalized support for tree structured data literals which could then be encoded into multiple different external formats. As to how that could work syntactically without turning into a huge mess, I'm not sure.
I like to use symbol only space cadet keycaps
https://mkultra.click/gb-kat-space-cadet
> For what purposes?

For searching answers? ChatGPT has pretty much replaced Google as a C++ helper to me. It can correctly decipher and explain deep, weird stack traces of C++ and succinctly and correctly explain semantics of the language that would take me hours of Googling.

> I definitely see some applications but "incredibly useful" seems like a bit of an oversell.

Define "incredible useful" first.
In my experience, ChatGPT is a terrible search engine. It's good at the other things you listed though.
To add: Everyone gets extra nervous after a down-round, or so I've heard. So even trivial things become magnified and causes suspicion, tension, etc...
I don't own a cell phone. SMS won't work.
This is what AWS Amplify is trying to do. But they don’t call it AI
Interesting. Will check it out in detail. From a quick glance tho I'm afraid that vendor-specific cloud is a no-go because I would rather not upload any client's data in there, even if anonymized. Besides, it's an overkill to convince anyone to switch to a different vendor for sake of diffing DB alone :)
I don't think this is intended to convince the people who are already confidently making the incorrect arguments you cite. I think it's intended to reassure the less-terminally-online people who are hearing those arguments, from a perspective of some understanding and authority, that they're not true.
I'll definitely buy one. Very cool form factor.
Aboard the Giant Sand-Sucking Ships That China Uses to Reshape the World
It's how YouTube tracks what videos I watch and how HN tracks what comments I've read! Dastardly clever of them...
Blockchain based solution. Helps with the survivability of the provider issue with these.

https://sarcophagus.io/
> He don’t seem to understand how it’s going and where it’s going.

Well... since you and Noam are at odds, logically it's either: (1) you; (2) him; (3) or both who don't understand.

And, frankly, since you claim this:

> at this point AI is only limited by our capacity to create memeable flaws

I think we're already down to (1) or (3).
That's largely a fundamentalist evangelical thing, and it's theologically dubious.
signals can be blocked and drowned out (cat and mouse situation)

Not as easy as you think. In this cat and mouse game, the cat has the advantage because he knows the next move, the mouse has to try and figure it out.

https://phys.org/news/2021-02-quantum-entire-radio-frequency...
yeah. I don't think 'this sucks lets do something else' is generally well received here.

plus you already have a limited selection of those crates that are async and aligned with the rest of the runtime. losing tokio would pretty much mean 80s style programming with no crates - definite no no
WWE in talks with state regulators to legalize betting on scripted match results
I would rather say animal-like but I'm sure these are conscious choices.
Author here. Love your ideas! I've thought about tagging - I'd even love to have automated tagging of APIs from routes names etc.. but I'm super excited about sorting and comparison features

This is kind of a side project for us, but I'll definitely think about it
It would be great if you could support Phoenix primarily and Rails. Any plans to go full stack not just JS UIs? Seems limiting if there’s no backend AI help.
Reminds me of this: https://www.newsweek.com/clifford-stoll-why-web-wont-be-nirv...
The performance metric is meaningless. As you yourself acknowledge, this is way too dependent on underlying business logic to be able to compare objectively. A 100ms API response may as well be "slower" than a 500ms one depending on what the calls are actually achieving.

Say service A has an API:

- GET /users/<id> - 100ms

Service B has multiple APIs:

- GET /users/<id> - 100ms

- GET /users - 250ms

- GET / - 500ms

Which service is faster according to your algorithms?

I'm also a bit skeptical of your other metrics. "P J S Paul Ministries API" is 5/5 in popularity while Adyen is 3/5?
> The human mind is not, like ChatGPT and its ilk, a lumbering statistical engine for pattern matching, gorging on hundreds of terabytes of data and extrapolating the most likely conversational response or most probable answer to a scientific question.

If that’s not the case then what, exactly, are we doing when asked to respond to a question?

> Because these programs cannot explain the rules of English syntax, for example, they may well predict, incorrectly, that “John is too stubborn to talk to” means that John is so stubborn that he will not talk to someone or other (rather than that he is too stubborn to be reasoned with). Why would a machine learning program predict something so odd?

They don’t [0].

> True intelligence is also capable of moral thinking. […] But the programmers of ChatGPT and other machine learning marvels have struggled — and will continue to struggle — to achieve this kind of balance.

ChatGPT’s morality filters are outstanding. Yes, “jailbreaks” exist… But any true intelligence would be capable of using language to explore ideas which may be immoral.

[0] https://twitter.com/jayelmnop/status/1633635146263052288
Absolutely yes - a lot of nonfiction books that are intended to be a deep dive into a particular topic written by experts are like this, and I think it's clearly because they need to hit a page count as you've suggested.

I just finished a book called Arbitrary Lines, about land zoning in the US. I was looking for a really deep dive into the history of zoning and how it ended up in its current state, or perhaps comparative analysis of different zoning policies. In reality, the book was maybe 25% technical/historical information about zoning and 75% the author going off about how zoning is unfair and leads to inequality. That's all fine, but I was picking up the book because I already have a clear understanding that zoning is the source of problems and wanted to understand how we got to where we are (and maybe learn about what the expected benefits of the existing zoning rules are that got them implemented, which the author didn't even pretend to be interested in because he's totally anti-zoning).

In any case, this is all to say that I strong recommend two things. First, skim! You don't actually have to read the whole book. I'm currently reading a book called Limitless, which is about the Fed's actions during the early days of the pandemic. It started with some history of the Fed, which makes sense in context, but I've already read about the history of the Fed, so I just read initial paragraphs of chapters and initial sentences of paragraphs to make sure I wasn't missing anything important by skipping it. Second, be willing to put down books. It took me a while to be okay with this, but at the end of the day you only have so much reading time in your life, and there's no shame in setting down a book that's disappointing and moving on to something else.

In terms of finding books, if you're looking for this kind of nonfiction, I like recommendations from experts. I really like Bill Gates' reading list. NPR Best Books (https://apps.npr.org/best-books) as well.
Sure but if a competing team built a quantum computer that could factorise huge numbers Aaronson would presumably not write a piece in the NYT about how it didn't actually count because <insert vague objection here>.
Check out Project Leyden [1] in OpenJDK for work being done in this area.

[1] https://inside.java/tag/leyden
This is so extremely underwhelming that just a "meh" really doesn't cut it.

What would really help welders would be actual augmented reality welding - like you have a monitor in your helmet which shows you the environment in normal daylight with high contrast and also shows you the puddle under the arc in normal daylight with high contrast - but doesn't show you the blinding bright arc itself (instead it shows a convenient indicater for where the arc hits the surface and whether you are too near or too far from the surface with the gun).

Basically welding as if you had eyes capable of filtering out the bright arc without any reduction of contrast or brightness anywhere else.
For extra satisfaction add some microstabilization to the gun, so it can help you keep the tungsten needle at the optimal distance to the surface despite your hands becoming more jittery as you age.
For this first version, we assumed you know the API you want to use and want to get some extra info.

The next step could be adding tags/categories so you can look for specific APIs ;)