skysight-inc/HackerNews huggingface dataset:
Could it be due to pricing differences? I have only been in the EU for 6 months, but one thing I noticed when signing up for cell service, is that SMS and Calling is expensive when calling to a different country. For me to call someone in Germany from The Netherlands, it is €0.23/min.

At that rate, scamming someone on the phone from a different country is prohibitive. The other option would be to setup shop and purchase numbers from all EU nations, which is also prohibitively expensive and probably not as easy since LLC's aren't really a thing.

My guess is the large population of the US + the advantageous legal system for new companies is what makes this a unique issue for Americans.
you mean like soylent green?
Yeah we have thought of a model where Karma is a measure of how much "marginal value" you have created for other users by your submissions. If we take upvotes as a proxy for value, we can calculate how many additional site-wide upvotes were generated as a result of you submitting your high-upvote-rate story: the number of upvotes your story received minus the number of upvotes the stories that were displace by your story being ranked above them would have received.

Then, we could allow you to spend a part of that value. That is, you can promote a story with a lower upvote rate, thereby decreasing site-wide upvotes by displacing stories with higher upvote rates. You would only be able to spend some fraction of the value you created, so that after you have spent all your Karma, the net value you have created for other users would still be positive.
It is still the case. This team went deep into benchmarking mobile chipset power efficiency, Exynos does not do well.

https://www.youtube.com/watch?v=s0ukXDnWlTY
When have you ever seen a complex, in-production software system and immediately thought “yeah I get this!”?

If you’re anything like me, you’ll have this feeling on every new project and new job you start for a while. I’m in my late thirties and am finally starting to realize that “hey, I have this feeling a lot and it’s always wrong.”

Push through it. Write the proposal. I think the proposal-writing process is the very best aspect of GSoC since it forces you into something that you really don’t tend to do in traditional learning like universities. It forces you to think a bit like a product person even and explain benefits and tradeoffs, backing up your beliefs.
>ground should literally be burning under the illegals; wherever they go they

I would hope we can all live in a society compassionate enough to care about human life/health before borders.
I actually perform image guided prostate biopsies, what is this solving / what’s the point?

We have great diagnostic accuracy with TRUS+MR fusion with standard equipment.

This just looks much slower and more expensive.
In practice, the larger the organization the less likely the potential legal sanctions are to dissuade them. My observation has been that once an organization (in the US anyway) grows large enough it is in a special protected status where no real penalties can come to it and there is certainly no risk of exposure to criminal charges for the decision makers.

Source: front page here every single day.
> I think schools would benefit from privatization

Well, we (in the US), have slowly been privatizing them and it’s bad! If you look at test results though, it’s great! Because private charter schools can drop underperforming students before the end of the term and artificially inflate their numbers. There are many more reasons that education with a profit motive isn’t better than without. I suggest maybe reading up on this before casually suggesting how you think we should radically erode our institution.
That's a nice comprehensive approach. I'm actually pretty happy with my setup from a data loss prevention perspective. It is just that, as I approach 2 decades of saving digital photos, I question the utility of it.

My parents have photo albums going back a few generations. The family tradition is that they are passed to the cousin with the most children, to maintain for future generations. If I were handed 500K+ images in a drive or a cloud account from each family member, I doubt I would ever look at most of them. With a bound and curated album, I know they are full enjoyed by every family member with an interest in the past.
If your processing is full of random I/O, this would be the right tool.
I tried before and didn't love it. Based on how it has been adopted I will have to try again.
Not all C api calls produce (observable) side effects. As a very simple example, the sin() function from math.h is a pure function of type `Double -> Double`. No need to wrap that in IO.
Remix is based on it.
Web architecture style meant to have the UX of an SPA without the pain it brings to developers.
Does it really? Have you tried it? apparently its coming to Next and SvelteKit
Thanks for referencing. I still have one of the original specification somewhere in my closet, when I was asked to review it.

They are made to look alike valid Ethernet frames. The idea was: how to make Interbus look alike Ethernet and how to make some patents to make money out of it. Originally you had to buy the controllers from Beckhoff. Now they are integrated by many µC, but still they have to pay licensing fees to Beckhoff.
I’d rather use the reliable query system!
From the review comments...

> Key Weakness: The paper largely focuses on showing how much emergence occurs in a “sudden” manner, bringing reports from previous work. It relies on the “magic” of emergence, rather than providing new insights on why this is happening and when it happens/does not happen.

> Requested change: More fundamental evidence on the claim "further scaling will likely endow even-larger language models with new emergent abilities" with more concrete discussion (with possibly evidence) on how those new emergent abilities would look like and how further scaling will be possibly in a approachable way.
Dodge the next Dockerpocalypse: how to own your own Docker Registry address
We're talking about someone who's trying to get more info about the reason why they've been put into jail. Possibly because it would help their case. The agency basically decided on an ultimatum. And no, lawyers won't always do necessary due diligence to make sure their client's case has all documents.

But complete dismissal of leaving them no options aside... if you really think that 70 dollars is a lot of money, just wait until you see the bills towards the tax payer in a FOIA lawsuit for an unnecessary denial.
I wonder how much would be an estimate for the cost for the University in terms of image and networking, of not allowing Dennis Richie to read their PhD there because a fee.
Simply planting a tree doesn’t give you copyright of the shape the tree ends up in the way you would on a sculpture.

That’s been the case for a very long time, you need significant control over the specific output because it quantifies. A garden is copyrightable based on the layout of the plants when that involved creativity.

That’s been a legal distinction for a very long time, and this statement is simply consistent with that history.
No, a strong signal would have been providing material support to portfolio companies harmed by the collapse, instead of just signing an empty statement.
Turn images into deploy-ready code
Then you make a small AI that gathers huge amounts of training data and trains another AI.
>> I'd much rather be able to write 10,000 lines of code that can do what your million lines of code does.

Sure, who wouldn't. Unfortunately this is my hypothetical and I get to control what I mean by it. The million lines of code in my hypothetical is good quality, maintainable with reasonable density.

>> Better programming languages, libraries, and other abstractions are what we need.

In the entire history of languages, we've only managed about a 10X improvement via these mechanisms (that is being charitable probably). Several important things are still written in C which would mostly be recognizable to a programmer from 40 years ago. There are still problems to solve but I feel we are on the asymptotic section of the curve in this regard.
HPC does a fraction of what k8s does though? Can you run 100k never ending jobs listening to networking?

From what I know HPC is basically run that short lived compute model on a very large cluster that's it.
Basic statistical relations in observable world (on Human-Level scale) should somehow be reflected in human language and in mathematics. Deeper models tend to learn those relations, and produce good looking connections which fit in the realm of possible "thoughts" perfectly.
Big changes in the S&P 500 Friday highlight the power of index providers
Hey, mabe you could add a litle bit more information on how the cells transition?
Just looking up the Wikipedia Article to get a basic understanding of what to do to devise a strategy :)
> for people who quit programming to become ML engineers

This is a weird way to frame it; there's no quitting programming involved, it's a switch from one kind of software job to another.

> I enjoy ML and find it useful, probably not more than software engineering

Again, MLE is a kind of SWE.

So overall it's not as big of a switch as you're making it out to be. Think of it as being similar to a front end web dev who moves to mobile development, or some other domain change.
That has to be the most bonkers comment I have ever seen on HN.

You must be great fun to know. /s
Some libraries might also have a digital newspaper subscription. Won't work on a Kindle but will work on a tablet and you can get eink tablets too now. Mine has most newspapers except the really big ones.
Your story reminds me of a similar one. I got my first cell phone around 2008 as a teenager. The previous owner also had problems paying her bills and that is probably why she ditched the number.

I got calls for literally a decade until they figured out she wasn't going to answer on this number anymore. At first, I would hang up when I heard the robo-voice asking for her, but the calls didn't slow down and eventually stop until I waited on the line for a collections agent to pick up so I could politely tell them to pound sand and stop calling me. Even then it took another few years.

Funnily enough, I recently moved out of the US and ported my number to Google Voice in case I want to come back in the next few years. My phone hardly rings with spam calls now.
They are, because at some point, your AI will say some terrible things, journalists will pick it up, at it will be a PR disaster. It doesn't take much, if you find a seemingly innocuous prompt that results in you system answering that raping children is super cool, it will be called "the pedophile AI" in no time, even if it is an extremely rare and provoked occurrence. No one wants that, it may even cause major legal trouble for the company and affect the entire field.

Note that while OpenAI is pretty lenient when it comes to jailbreaks, the do ban users who go too far.

I think jailbreaks get a pass because it helps them fine tune their systems, also when you paste an entire page of text with convoluted language to make it say bad things, that makes it obvious you asked for it and that you are not an innocent victim.
Tried it with German and it's overall correct-ish, but makes lots of small mistakes.

> > Translate this to German: I went to the back alleys of downtown Metropolis to find a phone booth I could use to dress up as my alter ego: Superman!

> Ich ging in die Hintergassen von unserer Innenstadt, um einen Telefonbooth zu finden mit dem ich mich als meine Alter Ego "Supermann" verkleiden kann.

but it should be

> Ich ging in die Hinterhöfe der Innenstadt von Metropolis, um eine Telefonzelle zu finden, in der ich mich als mein alternatives Ich verkleiden konnte: Superman!
In the past few days I've been shellshocked by GPT-4. I'm still and believe I will be for the near future.
I think that argument moved only to the returned jsx.
Those are units of power

I've occasionally seen energy measured in "fully loaded 747s coming in to land"
Yeah we hunted them pretty horribly for a long time so their population now is a fraction of what it once was (10-25k vs ~250k). But since it became illegal to hunt them in the 1980s it seems like they're recovering slowly, rather than heading towards extinction.
I want to add:

Time - Lightyears
It's worse than that.

The thing that imposes these limitations is the somewhat primitive DB engine for Access, which is codenamed MS Jet:

https://en.wikipedia.org/wiki/Access_Database_Engine

But the big that MS & MS fans don't like to mention is that MS Exchange Server uses a version of the same storage engine.

It's not mentioned even once in these Wikipedia articles, for instance, but if you look, you will find telltale giveaways such as Exchange store size limitations:

https://en.wikipedia.org/wiki/Microsoft_Exchange_Server

https://en.wikipedia.org/wiki/History_of_Microsoft_Exchange_...

However, if you dig a little, you'll find that the underlying storage engine is also codenamed "Jet":

https://en.wikipedia.org/wiki/Extensible_Storage_Engine

Jet Red vs Jet Blue. Totally different, honest.

These days, it's also used in trivial unimportant Windows subsystems such as -- er -- Active Directory, Windows Update, and the Windows Search indices.

Yes, the fragile, essentially single-user, easily-corrupted Access DB engine is an integral part of Windows Server.

Which is a bit odd considering MS also owns SQL Server (bought in from Sybase), and could in principle use that instead, which does not have these built-in limitations and is rather more robust.

Access was in part built in response to Lotus Approach, which brought Claris Filemaker-like simplicity to Windows end-user databases. MS could not tolerate that, so built its own Approach-killer, which was vastly more complex. It acquired FoxPro, a dBase III/IV clone, for its very fast indexing functionality, which was bolted onto MS Cirrus to make Access, and the rest of FoxPro went largely unmaintained until it could be discontinued.

Exchange Server of course replaced MS Mail, which was also bought in and was previously called Network Courier from Consumers Software. Other MS purchases include Powerpoint, Frontpage, Visual BASIC, and Visio.

There is a general pattern evidence in 1990s MS software which isn't universal but widespread. If it's lean, mean, simple, fast, or elegant, it was bought in. If it's overcomplex, fragile, has bizarre limitations for non-obvious reasons, and needs careful maintenance, it was built in-house, probably in response to a successful competing product.
Given how much they earn it's very likely they're under the taxation threshold/within the standard tax break (eg. in Czechia if your total income tax is less than 1000 EUR you're not going to pay anything).
> Deno supports vastly superior threading model (such as green threads)

Whatever it supports, Javascript-the-language has no concept of threads. And workers are basically external processes with a somewhat awkward event-based communication and certain limitations.

Whatever Deno uses internally to implement them has no bearing.
Show HN: Llamero – A GUI app to easily download, install and infer LLaMA models
‘Understanding the business logic and getting it out of the customer’ is precisely what a lot of programmers are bad at doing. Many would rather talk to a compiler than a human being. For them, ChatGPT is a real existential threat.
I can't think of any from the top of my head.

Perhaps looking at the proceedings of ICFP and POPL can help?
Well, I'm British and France and the UK seem to have been mortal enemies for a long time :)

However, I absolutely love the French, the French language, and your country. I'm definitely not above pocking some fun at the French, but my French friends give it back in equal measure haha.
It leaves out one important point --- Microsoft killed off a similar development on a competing platform:

https://www.folklore.org/StoryView.py?story=MacBasic.txt&cha...

TLDR: Bill Gates got the source code for "MacBasic" from Apple for $1 in exchange for continuing the license for Microsoft BASIC on the Apple ][.
District 9?
It’s interesting to consider the difference.

The price grows when going to server/workstation motherboards / CPUs.

And: What if you already have a 16-slot motherboard fully populated with RAM? You can add a whole another computer with 16 more slots, but that’s quite a bit of iron, and: How best to connect the two? Does there exist an interlink that shunts data between two computers at full PCIe 4.0 x4 speed? Or x8? And how to control processing on the second computer?

I’m sure there are bigger motherboards yet, but afaik it always comes with further components – say, more physical CPU sockets that need to be populated?

There are probably situations where this hardware is the simple way of doing a job.

Also: If the current motherboard already has a unused PCI slot, then it’s kiiiiind of a free return on investment to use that bandwidth. By putting the existing I/O controller to use.
That also seems wild to me. It doesn't even seem to be questioned whether giving Microsoft a copy of every email you send is a good idea. Even when the emails are about contract terms with Microsoft, the conflict of interest doesn't seem to worry anyone.

This whole announcement is "look how good we are at reading your internal documents" and I still don't think it's going to register on the threat model.

Fortunately we can definitely trust Microsoft not to do anything unethical in the name of profits.

P.s. I had a totally unsuccessful conversation with a security person who believed that the AI powered network scanning stack they used kept them safe. Secret software stack running CI on AWS, email through Microsoft. All the IP they cared about literally stored outside their fortified local network.
> A decent STEM PhD student stipend in the US is about $40k.

I don't know where that number comes from. In most universities you'd be looking at $20k-lower 30k, sometimes less. In fact, in public schools, salaries for teaching assistants/research assistants are public data and people can look them up.
Insane, I love it. And I want one.
I something similar where a colleague (a long time ago) realised that someone had overload string assignment in the C++ code he was debugging to do something "special" depending on the value of the string.
In this particular case, the stock sales before collapse were 'scheduled' just weeks before the sale, as opposed to many normal circumstances when it's scheduled months or even years in advance:

"The sale of 12,451 shares on Feb. 27 was the first time in more than a year that Becker had sold shares in parent company SVB Financial Group, according to regulatory filings. He filed the plan that allowed him to sell the shares on Jan. 26." [1]

[1] https://fortune.com/2023/03/10/silicon-valley-bank-ceo-greg-...
The "taking our jobs argument" is stupid.

Since Brexit (and compounded by the pandemic), here in the UK a lot of industries turned to shit because it turns out that 1) the Brits don't actually want those low-paid jobs and 2) immigrants (whether outright illegal or "legal" under EU rules) were critical to a lot of those industries' proper functioning.

I'm talking about hospitality, transportation (Uber/etc), basically anything that relies on unskilled labor.
>Plus I hate what Airbnb did to my city

I'm curious, what negative impact did it have?
> And I certainly don't need the levels of abstraction that design patterns or Haskell typeclasses demand.

I think it's fair to say that AbstractSingletonProxyFactoryBean[0] is something of an abomination, but it's important to avoid throwing the baby out with the bathwater. Some of the Go4 patterns like Command, Observer, Visitor, and Iterator are literally all over the place and you have to actively go out of your way to avoid writing them.

Likewise, Haskell type classes aren't something you're supposed to be implementing yourself all over the place in your application. They're very high bang-for-buck things you implement in libraries. The equivalent to implementing iterators for your collections, or AutoCloseable on resource-like java classes.

0. https://docs.spring.io/spring-framework/docs/current/javadoc...
Scarf Gateway can help with that redirect, it was built to create a redirect container images, packages, and other downloads :

https://github.com/scarf-sh/gateway
That's not accurate at all for me. I'm not impressed with the output when rating it against humans who are good at said task. It's obviously not as good as those who are good in that relevant field.

But it's certainly far better than humans who are not skilled at those tasks, and that is what I find to be very impressive. I just didn't realise that these models could be this good, and they're not even as good as they will be.

I guess if you were expecting something that's going to be as good as those who are skilled in a particular field, you'll be unimpressed -- but I wasn't even expecting mediocrity.
This caught my attention as I found it implausible:

> One DeepMind engineer even reported being able to convince ChatGPT that it was a Linux terminal and getting it to run some simple mathematical code to compute the first 10 prime numbers. Remarkably, it could finish the task faster than the same code running on a real Linux machine.

Following the link, there's a screenshot to a screenshot [0] of a code-golf solution to finding primes which is quite inefficient, and the author notes

> I want to note here that this codegolf python implementation to find prime numbers is very inefficient. It takes 30 seconds to evaluate the command on my machine, but it only takes about 10 seconds to run the same command on ChatGPT. So, for some applications, this virtual machine is already faster than my laptop.

So it's not quite calculating primes; more likely it recognizes the code as being code to do so, and recites the numbers from memory. That's interesting in its own right, but we won't be running Python on an LLM for a performance boost any time soon. In my experience this interpreting is apparent as a limitation of the model when it keeps insisting on broken code being correct, or having its mistake pointed out, then apologizing, saying it's got some new code that fixes the issue, and proceeding to output the exact same code.

[0] https://www.engraved.blog/content/images/2022/12/image-13.pn...
They... don't ?

I don't know where the person is studying, but it's not a general phenomenon.

I have still students around me, and the number of years don't seem to make them more or less bitters.
I uploaded the Windows XP desktop wallpaper into the image classifier. Just the raw image file. It gave me the labels "monitor", "computer screen", "desktop". "Field", "sky", grass", that kind of thing were nowhere to be found.

I know this is more of a comment on the state of AI models than Transformers.js. It's probably not even representative of state-of-the-art image classifier models. Just a fun example of how these things learn.
Blah Blah Blah. I use ChatGPT for this every day to write code to save my own efforts and it is doing just fine thanks. I also use it for creative content in my apps, although I edit this work to get the tone in its writing correct. It is excellent for this.
I thought only people knowing game of life will play it, so I didn't explain it. The way they transition is exactly the same as in original game of life. The only difference is this grey dead cells area, where cells are always dead no matter what's their neighborhood. Anyway, I think you're right, I'll add this info. Thanks.
Minecraft Education edition already does this.

Press C, code window appears, you can use Python, Javascript or a visual Scratch-like language, controlling an agent in the minecraft world to go and do things

https://education.minecraft.net/en-us/resources/computer-sci...
Shame, I was expecting to see large or small boulder there: https://twitter.com/SheriffAlert/status/1221881862244749315