skysight-inc/HackerNews huggingface dataset:
I agree. ML is best explained not from a CS angle but from a maths/physics/biology angle, starting with a Single Layer Perceptron. It's possible to explain the idea of feed-forward/backpropagation computation visually without having to dive into the math of matrix multiplication, and certainly in isolation from other CompSci theory.

Personally I've found this approach, in combination with a visual explainer like the Tensorflow Playground, really effective in getting people to 'get it'. I know it doesn't even begin to cover the breadth of today's ML techniques, but as a conceptual introduction that requires little to no CompSci foundation, it works and it's a start.
Sorry, I stand corrected on the Linux Foundation.
That pre-supposes that we are going to manage to get off this rock before the sun goes into its end-of-life cycle --- only 5 billion years or so worth of hydrogen before it become a red dwarf.
Can a City ‘Die’?
By that argument a recursive function shouldn't create a new scope every time it recurses, and a language that fails Knuth's 1964 benchmark of reasonable scoping (the "man or boy test") would be fine. The loop body is lexically a block and like any other block it should have its own scope every time it runs.
It's not just video content either, Google's been fucking up the whole Internet for a while now.

Do you want a high search ranking for your site? It's far more important to appease Google's algorithms than provide quality content your users enjoy.

Want to make money off Google Ads? You need to be very careful about what you put on your site. They sent me a threatening letter once because I promoted World Naked Gardening Day.

Running a "successful" website nowadays revolves around keeping Google happy. If you fail to do that, they can destroy your business.
Automated responses, customized replies, effortless integration - it's easy to see why AI Email Writers have become the go-to tool for businesses and individuals alike. But just how much time does generative AI really save you? Hint: it adds up to more than you think!
If they can “cannibalise” MacBook sales with something that costs 3x as much they’ll be laughing all the way to the bank.
I can imagine some contractual obligation being litigated in those cases... on the other hand, maybe attorney's fees would far outstrip any sum being litigated for.
Just listened to them and it’s not bad. Who else?
Almost nobody has the throughput to check equations at all
No, my preference is the One True Preference!
Yes, the same as classical error correction but distinct from classical fault tolerance. It’s fascinating (to me) how these are different!
The 10x Author is a myth
Well. A lot of things suddenly make a lot more sense now.
There's a modest deficit:

https://www.ssa.gov/policy/trust-funds-summary.html

Around 2% this year, a bit more last year.
it is the fault of freer money for education and greater expectations for amenities at colleges. higher education should be a measured decision where you literally calculate ROI on the cost of your degree
I've run into this once. IIRC the workaround was to add a n=n arg to the lambda
Discussed at the time:

Making Faster B-Trees with Go Generics - https://news.ycombinator.com/item?id=31182645 - April 2022 (44 comments)
There's a second motivation in my opinion. Code might work today without the change, but it could be because the author originally wrote buggy code, caught it in testing, and had to waste time tracking it down and understanding nuances that don't need to be there. Once they figured that out, they implemented an ugly workaround (adding an extra function parameter to a goroutine or shadowing the loop variable with n := n).

Good language designers want to avoid both wasting developer's time and requiring ugly workarounds. Making a change that does both, especially if it doesn't break old code, is great imo.
The Max Headroom Chronicles
That is why doctors are supposed to consent their patients and weigh those risks. For what it’s worth, the risk of incontinence form prostate cancer surgery has been dropping quickly as traditional surgery is replaced by robotic surgery, sparing the nerve that runs close under the prostate.
Nice of them to decide a human can actually write three books a day. Four, hell naw, can't be done, but three, yep, seems legit.
I don’t think we’ll still be here to worry about that.
In Python you are much more likely to hit that problem not with closures constructed with an explicit 'lambda', but with generator-comprehension expressions.

(((i, j) for i in "abc") for j in range(3))

The values of the above depends on in which order you evaluate the whole thing.

(Do take what I wrote with a grain of salt. Either the above is already a problem, or perhaps you also need to mix in list-comprehension expressions, too, to surface the bug.)
Oh right, I didn't make the obvious connection to 128.
Maybe a school should start giving PhDs for good replications.
You could say the design is broken, but the implementation is working as intended by the design.
Intel OneAPI Initiative Evolves into the Unified Acceleration “UXL” Foundation
> If you step way back, the simple fact that the Earth still exists in its current form tells us that no recursive process in the multi-billion-year history of the planet has ever spiraled completely out of control; some limit has always been reached.

I dunno, I mean, humanity has made some serious changes in a very short time. We're pretty lucky that the climate's sensitivity to CO2 isn't worse than it is, or we could have taken ourselves out already. Same as if we had had a nuclear war.

And AGI doesn't need to completely destroy the earth to be really bad for humans. Just taking over a lot of the resources we need would do the trick.

> It’s conceivable that some sort of complexity principle makes it increasingly difficult to increase raw intelligence much beyond the human level, as the number of facts to keep in mind and the subtlety of the connections to be made increases.

There's a whole lot of "it's conceivable" in here, which seems to me to be a bit of a coping strategy. For humans, the problem with our biology is that our heads kinda have a physical limit on their size.

The idea that not only is it possible to make machines that are stronger than us, tougher than us, more precise than us, and faster than us, but also just straight up smarter than us in the general sense (instead of just at math or chess or whatever), is not outlandish at all. They might be less efficient and take a whole lot more power, but that sort of thing hasn't stopped us before. We just find ways to get them more power. I accused the author of trying to cope with fear of the development of super-intelligence by figuring out happy scenarios where it will be harder than we think to create. I have done the same thing, but I think we do ourselves a disservice by not facing the potential for this to be a real problem head-on.
NATs has a decent-ish guide here: https://docs.nats.io/nats-concepts/overview/compare-nats

A few things they get wrong mostly about Rabbit:

+ RabbitMQ does support replay, and also has a memory only mode which will support persistance in a cluster

+ RabbitMQ doesn't have that sensitive of a latency between cluster members (no more sensitive than NATS in some setups).

+ RabbitMQ also supports Prometheus

A good (but incomplete) rule of thumb:

+ Kafka is a distributed Append-Only-Log that looks like a message bus. It allows time travel but has very simple server semantics.

+ RabbitMQ is a true message broker with all the abilities and patterns therein. It comes with more complexity.

+ NATs is primarily a straight forward streaming messaging platform.

Also consider Redis' message queue mode, zeromq, mqtt brokers (Eclipse Mosquitto) and the option of just not using a message broker/queue system. Even as someone who really likes the pubsub pattern, there's a good chance you don't need it and you may be heading to a distributed monolith antipattern.
Airgapped doesn't necessarily mean it can't be accessed remotely...
I wrote this minimal fluff SEO guide and automated checker that's mostly based on SEO tweaks that Google and Mozilla recommend you should make to your pages:
https://www.checkbot.io/guide/seo/

The next big part is to get genuine backlinks from well ranked websites, which you can do by writing and promoting high-quality content that people want to share and are likely to search for. This is generally what Google encourages you to do, and will keep tweaking their algorithm to discourage tricks/fluff outside of this.
Seconded! It is delightfully apt for its purpose and to the point.
Haskell has both do-notation and list comprehension.

Comprehension in both Python and Haskell (for both lists and other structures) use the same order in both language, as far as I remember.
What's "the cruelty is the point" in latin? So the GOP can have it as a curly banner under their logo
'partial' creates a closure for you.
I'd forgotten about that! That part of the thread begins here: https://news.ycombinator.com/item?id=23777700.

We put it in /highlights which may be of interest to people: https://news.ycombinator.com/highlights
Meettum Combines Collaboration, Meeting Scheduling ,Empowering Users To Enhance Productivity And Teamwork.
Google Wants to Expand Maps with 'Road Mapper' Volunteer Community
I think they tuned down the model because TPUs are needed for actual AI work
What about orbits?
You implement the technical recommendations/requirements and then you test the crap out of everything else and then you remain ready to change everything whenever the algorithm changes.

The reason that so much BS persists is because most organizations lack the analytical rigor to test and measure all of their changes.
> The USA is resourced and practices to fight around two wars at the same time.

No, its not, and arguably it never was. The two major regional contingency concept was adopted shortly after the first Gulf War and was an organizing principal in theory for a couple decades, did not actually provide the capacity to succeed in two major regional contingencies simultaneously [0] the only time tested, and has been effectively abandoned.

[0] there's no particular resourcing need for any number of contingencies of a particular scale if you don’t demand capacity to win.
Usually experts won’t make educated guesses, but: does it beat those experts?
We are about to go into a depression, why would people buy stocks when you have such nice Treasury rates.
I was thinking the only people who could possibly need to worry about that limit are shitty fanfiction writers.
Hiking My Way to My Job
Pursue this. It's a good idea.
to go one step further, then there are all the companies that have done a proper recovery plan, and even tested it.

several years ago.

hopefully there were no externally managed dependencies, as those can change.

hopefully the documentation was entirely written down, not just 80%, with that last 20% having retired, been laid off, or died since then.

how many companies are left at that point?
>Why do some countries or areas feel far more comfortable with leaving children around with men,

I cannot answer for other countries, but for the US I can answer that we've allowed the "boys will be boys" excuse for pretty much ever when it comes to sexual misconduct. I've made it a point in my life to be a person available to talk to when other people need that. Maybe I've just had bad luck in who has opened up to me, but when a very large percentage of the women I've talked with have talked about sexual misconduct, sexual abuse, or outright rape against them that I realize we have a massive problem in this country. Even worse is I've talked to people decades later that explained confusing things that occurred when I was a teenager and went to church. When you find out the church covers up sexual assault, convinces people not to call the police, and pays for the pastor to move elsewhere you get a grim view on the people in power. It turns out when you cover up for evil behavior, you have to be suspect of all those around you.

If you don't want people to be destroyed by allegations, you need a system that actually investigates discretely, and prosecutes those with evidence against them. In the US we can't even process the back log of rape kits we have around.
Which of the various meanings of the word 'functor' are you using here?
> Because the only thing you can ever have is a theory.

Here's mine: there is a "correct" set of theories (or truths) that the universe adheres to, we're just nowhere close to even guessing at them yet. But current theories can be closer or farther to them
Isn’t Brand on Rumble? He already does live shows on Rumble. Less followers, less money I assume but doesn’t seem like he’ll be kicked off Rumble anytime soon.

https://rumble.com/c/russellbrand
One of the underlying assumptions in The Famous Article is that genius can be externalized, captured in a process, and then flourish outside of the original head.

I'll give that a "maybe" and "to some degree".
I don't think that's enough evidence to claim he made the whole story up.
I don't get it, do they have monetized YouTube channels?
Per
"Chip design relies heavily on software tools, which are computationally demanding. Better chips can run these tools more efficiently, yet we haven't experienced an uncontrolled rate of improvement" ...

We have seen an exponential rate of improvement. And this is the whole point of why people talk about runaway AI; it's relative to the exponential growth of complexity observed in software and computer hardware scaling.

Yes it's slowing now but it many years of exponential growth transforming a lot in tbe process
I would love to answer in detail but right now I cannot.

One really good example though is error handling - they've pretty much looked at C and decided that that was the best we can do, so now every Go program is full of nilchecking boilerplate.

The whole design of the language generally feels like as if it was made for unthinking drones.
Skipping lunch, dinner and making bio breaks really short are key productivity tricks.
I recommend thinking through a bit more how AI will lower transactional costs as discussed in Ronald Coase's "Nature of the Firm." [1]

Cheaper and unconstrained scale of labor for certain types of tasks is going to mean a lot more to smaller and leaner firms than behemoths.

Within the decade I suspect that companies currently or soon cutting talent that have extensive familiarity with domain knowledge in that space will turn out to have made a very poor move for long term viability.

In general, I have a hard time seeing a number of sectors continuing to be dominated by large corporations as they are currently over the next decade as this technology improves.

----

1 - https://en.m.wikipedia.org/wiki/The_Nature_of_the_Firm
Pretty much a staple of US law is "We withhold the right to refuse service to anyone". There are only a few preconditions (civil rights for example) that are exceptions to this rule.
The SHA2 standard is now 22 years old. That's an awfully long wait to start utilising a back door!
If true, this is horribly dystopic. Why aren't privacy activists up in arms about this?
I don't think that there is.

An obvious comparison is religious thought. Unlike most religious thought, you do actually learn when the consensus has been utterly wrong. What you don't know is when that will happen.
Or cd to the html directory and run this:

python -m http.server 8080

which does not require anything else like socat.
We all need something to do given we do not have a purpose in this world, except for bearing children maybe. People love to philosophise about the meaning of life and find all ways to be sad. There isn't - keep yourselves busy, anything!
And an optimizing compiler can reduce your latter case to the former, if they can prove it's safe to do so.
Guess the content just isn't gonna be paid for then. Not my responsibility to make their silly business model work. My attention belongs to me. I decide what I pay attention to. They aren't entitled to it. Sending me free stuff doesn't entitle them to literally anything.
The actual prompt is just a chain of thought prompt and the headline is just clickbait.

Also in the article, the author gets COT wrong.

> What "reasoning" they do (and "reasoning" is a contentious term among some, though it is readily used as a term of art in AI) is borrowed from a massive data set of language phrases scraped from books and the web. That includes things like Q&A forums, which include many examples of "let's take a deep breath" or "think step by step" before showing more carefully reasoned solutions. Those phrases may help the LLM tap into better answers or produce better examples of reasoning or solving problems from the data set it absorbed into its neural network weights.

Chain of thought has nothing to do with “tapping into better answers”. It’s simply asking the model to break up the output into smaller tasks and gives it more time and space to reason.

COT is not new or novel. Hell, it’s even listed in one of the guides in Open AI’s prompt guides as a strategy to improve prompts.
Android 13 Chrome 117 here and it did not work for me. Menu popped open on the long press, but moving my thumb up or down resulted in the whole page scrolling. Ditto on Firefox 117. (Is that weird that both my browsers are on the same version number?)
Then they aren’t your neighbor if their route goes half way around the world, are they?
Yeah, everyone names their thing something generic like Atlas or Hydra. Choose to be daring and original instead! You won't regret it.
Typo in current HN headline: “leaded” s/b “leaked”.
Oh for sure, please don't read my comment in a demeaning tone - very much the opposite.
> Nobody with a sub-4% is going to sell

Nobody with a sub-4% is VOLUNTARILY going to sell. Home prices have slowly dropped to adjust for interest rate increases. However, a "price reset" will probably occur in areas where folks need to sell due to financial hardship.

Credit Card usage has already seen an increase, savings contributions have dropped, and car loans payments have seen more defaults. Unfortunately, folks are struggling these days.

A sudden "panic sell" of just a few homes could cause overall homes values in a neighborhood to drop, thus "correcting" or "resetting" over-inflated prices. Unfortunately, this would be a doomsday-scenario for many folks who bought recently in the 6-7% with inflated prices. Until interest rates dropped, they're stuck with a terrible payment while being severely underwater for their homes.

Can you imagine if THEY need to sell? Suddenly the value of their home doesn't even cover their mortgage. Now you're talking bankruptcy for many folks...
Yup it was the ultimate _red pill_. There have been many such cases none ever so public.
> then public knowledge and your best judgement better be enough, because they're all you have

In that case, this should be made clear in their terms of service, that in case they come to a conclusion based on "public knowledge" and their own "judgement", the user can be de-platformed without recourse to any appeal.
Depends on the satellite; the ISS orbits at 211 miles, which means that it would be close enough to send a 500-mile email if it's flying directly overhead. :P
Why is there no Debian or Ubuntu package or ppa listed? Will homebrew work on Ubuntu?

Maybe trendy people stopped using Ubuntu and Debian already? If so what do they use now?
How are generative AI companies monitoring their systems in production?
Companies with LLM-based products (specifically Retrieval-Augmented Generation)deployed in production - how are you monitoring outputs for hallucinations? What's your process?
Medium size multi-key transactions of substantial read-dependency complexity (many dependent keys loaded as part of the tx) and moderate key size; each tx of modest total size on the set side; This is an own-AWS cluster which means crap networking vs. a purpose-built on-prem network, instances with NVME storage.

fdb transactions are real transactions. These aren't batches.
I think this is more of a “ain’t this interesting?” sort of thing.
This is useful additional context, thanks.

> My take is that the apology in the OP is performative. The lessons are weak, both in an ethical sense and a business sense.

I am naturally inclined to agree, which is why I have to remind myself to keep trying to be optimistic about such things.
I didn't do it properly on purpose, because that wouldn't have been fair towards Go. Ultimately, many things which aren't even common yet today have already existed in the 70s.

I have picked 20 years specifically since it was around 2003-2005 when Java and C# got generics. Obviously, they were also more than 20 years late but I compared it to mainstream languages people are more likely to know about or more likely to compare it with.

I wanted to be fair and compare Go to some other mainstream languages which are big today, not niche ones.
Throw-away comment: that's essentially the point.
How to Grow in Your Organization
Asyncio was explicitly marked as provisional for years and most of the incompatible changes happened during that time. Same goes for typing. The rest of the language is very very stable.
Color me corrected. I did pull federal data.
I know nothing about Germany, but FWIW several web references suggest that severance pay in Germany is "Standard severance pay in Germany is 50% of one month’s wages for every year of service. This increases to a maximum of 12 months’ salary for employees under 50 years old."

This is significantly less generous than FAANG layoff severances.
The campaigns are fun, some of the custom maps are absolutely amazing, but there's nothing quite like a classic old compstomp.
Not a nawk on awk (pun intended) or socat, just a reply to the parent's comment.
It runs pretty smooth on my iPhone, but yes, it is a prototype meant for education, not suitable for production use.

> So, I recklessly replaced all the elements of my menu that needed to animate with SpringLayers and just set the whole thing to re-render sixty times a second. I thought surely this would cause performance issues because I’d be re-calculating a spring value for each property of each animated layer each frame, but I never had an issue (on desktop at least), so given that this is a prototype, I just went with it.
> cannot say with a straight face that predicting 20 million users, getting only 1 million, is "a good prediction"

Yes, I can. Especially when the prediction is ten years hence and made about a product that doesn’t exist predicated on a launch frequency nobody has attained. 1mm users means core leaps in launch frequency, beam shaping, operations and sales came together. Furthermore, sitting at the deadline, the 20mm isn’t unrealistic. For hard technology venture, that’s a good prediction. (A lot of tech meets its order of magnitude threshold only to learn the goal is unrealistic, ever.) Not spectacular. But also not bad.
I solve for this by roasting my own
Surely there are limits. But it matters a LOT how far away they are. Anyone betting on humanity hitting limits to its exponential growth would have been unpleasantly surprised many times. And if you talk about how much we're changing the earth as opposed to how many people there are, we're still going strong.
I don’t. I’ll ask her if her sister who is still in country can send her a couple. I’ll update the thread if I get any. It’s a very interesting place, it’s a shame it’s so closed off.
It's an early access HOMM-like game: https://www.songsofconquest.com/faq#faq-overview
That doesn’t sound like how it’s supposed to work so maybe something is not rendering correctly, or I don’t understand what you are describing exactly.
> This is not within an order of magnitude

10^6 vs 2 x 10^7. An order of magnitude. Order of magnitude isn’t literally divide by ten. Granted, there is a qualitative difference between 1 to 10mm and 1 to 99mm, but they’re both one order of magnitude apart.