skysight-inc/HackerNews huggingface dataset:
I did not mean to imply you in particular did not watch it. The way this observation often gets quoted is extremely misleading (often intentionally so, as the first piece without the second is much more sensationalistic) and needs an explicit clarification, as Norvig did immediately after reporting the curious observation.
At Caltech, everybody knew that an AY degree was useless for getting a job (there are only so many telescopes). So lots of students did a double major - EE for a job, AY for fun.

I can vouch for the fact that people who take a brutal AY major for fun are indeed some of the most interesting people you'll ever meet.
For something to generate text that is believable on a level like gpt-4 does it needs to have some model of the real world and understand relationships between things. So yes the training goal was to "just predict the next word" same as our training goal was just "reproduce and survive". What emerged out of that is the real important thing.

No human can understand what really happens in the billion of calculations done for each token in gpt-4 so how can you claim that there is surely no thought process going on? It can solve some riddles, it can draw pictures and it can reason (to some extend). How is that just generating text to you?

In the end this argument doesn't matter because how it was made is irrelevant. What matters is what it is and can do.
I had in mind PEG-coated-mRNA and adenovirus vaccines which cause the body's own cells to express a close analog to the SARS-CoV-2 spike protein antigen, a thoroughly novel approach which was rolled out to the general public roughly nine months after the very first tests were administered in humans, and in the case of mRNA vaccines more broadly, was described in articles as late as 2017 as potentially having problems with toxicity especially in repeat dosing.
Just go to a coffee shop near a school or a public library and you will see how relevant laptops are.
I distinctly remember my first child prioritizing toys by heft. He ranked his choices almost wholly based on their effectiveness as a bludgeon.
The decimal system is already based on the human body, most people are just not great at bending their toes one by one and find it convenient to have them covered by footwear. If you want a special symbol for one full hand, just use Roman numerals.

This reminds me of retro computing. Amiga or BeOS had some amazing concepts for the time, and quite possibly Wintel dominance was achieved by predatory tactics. It can be interesting to study old platforms and some enjoy creating new software up to this day. But if you limit yourself to these, don't expect modern living. At best you can hook up an old computer to a modern one as a thin client and fool yourself into thinking that harpooning a whale from a motor boat is traditional living. For whatever reason the world have move on and it's not possible for could have been possibilities to ever catch up with limited number of participants, since the rest of the world will also not stand still.
Italy does this extremely well. There's public town squares pretty much everywhere and in the evening people walk there with their kids. You get to gossip with all your neighbors and your kids can play, run and scream until they're tired.
That… doesn’t really make any sense to me. Tinnitus is a ringing - call it a thin buzz, a whine, a whistle, but it’s a tone isn’t it? How could you not tell whether you were matching the pitch?
On the other hand, talking to compiler writers is lots of fun!
Let's say you bought that storage system: https://www.dell.com/en-us/dt/storage/powerstore-storage-app... AFAIK, it doesn't come with complete source code, and you could not request all of it.

Let's say you decided to run MongoDB as a service, and you are fine with releasing Service Source Code under SSPL. The problem is – you can't. You don't own the source code for your NAS and can't relicense it. Nothing in the text says, "relicense all you can, and then you are fine". Clause 13 puts requirements on software that are completely unrelated in terms of copyright.

> I am confused. If you use a custom storage system then you would have the code for it. No?

Nothing in the license text says that the storage system has to be custom.

> The idea you need to release code for the os, file system, network routers, etc is absurd.

I agree with you that this is absurd. But that's what the license text says.

I suggest you read section 13, not MongoDB's FAQs or other explanations of how it works. The actual legal tech is very different from what you seem to think it is.
I would say that it would be appropriate to inform them of this, but that is their choice and risk to take.

If you don't like abusing people and avoid relationships for that reason, that is your choice to make.
Safety and efficacy for whom? Numerous European countries have already begun significantly dialing back the demographic groups to whom they are recommending booster shots, so I'd say it's looking pretty unsettled.
I studied electrical engineering because I was told I'd have a leg-up on software engineers, who don't understand how computers work. That knowledge turned out to be irrelevant in the Internet era. Then I doubled down by going to graduate school, where I specialized in the hot research field du jour and discovered it did not exist in industry. It is now dead as a research field too. So my entire higher education, I painfully realized, was worth jack. I did not get my degree either 'coz my advisor was denied tenure, got a breakdown, and I became depressed myself. After much moping and with marital support, I cut my losses and dumped electrical engineering for software engineering, and machine learning in particular. That was a fantastic career move but it took me a long time to get over the waste and suffering. I've always hated school, and I was a great student.

Fortunately I became proficient with computers well before I got "schooled" so I was able to eventually get a job. But employers always held my education against me, especially at startups. Why did you study that? Why did you go to graduate school?
“There's an old saying in Tennessee — I know it's in Texas, probably in Tennessee — that says, fool me once, shame on — shame on you. Fool me — you can't get fooled again.”
What about postgresql using a file socket
Having a baby makes you realize how anti-baby all of modern life is. From the lack of space in cities to the silent pressure at work to put in extra effort to “make up” for your maternity/paternity leave.

No wonder birth rates are falling off a cliff.
World’s oldest practicing doctor at 100 years old
As far as I know, there are no other editors or word processors that offer interpolated variables at a keystroke[1], the primary reason I developed the software. A similar editor to KeenWrite is Jupyter Notebooks, which looks like it has an Emacs extension[2]. I think of KeenWrite as being meant for long-form prose with a little math and stats thrown in (e.g., sci-fi novels); Jupyter Notebooks is meant for math and stats with short-form prose thrown in.

[1]: https://youtu.be/CFCqe3A5dFg?t=48 (variables tutorial)

[2]: https://github.com/nnicandro/emacs-jupyter
@xeonmc [flagged] [dead]

>So what you’re saying is, India is badly in need of a cultural revolution?

Maybe 50/60 years ago post partition. But too late now, IMO India system finally built up some momentum + favourable external conditions while starting very precarious transition period. IN trending towards 1.7B medium term with weaker state capacity than PRC dealing with 2/3 that amount. 1/3 of PRC household still medium income developing poor. Worst thing they can do is try massive restructuring that reduces state capacity further, they're best course is to be doomed to continue muddle along which at India scale might still mean great things for fraction of population. Unfortunately, my guess is that means 40%+ of workforce trapped in subsistence farming and weak female labour participation bordering on repressive Islamic country level. Too much people = demographic curse, India likely not going to maintain growth to keep up with even new (male) job demand, will get old before rich, basically the worst case scenario for PRC demographers that slammed through family planning / one child policy. On the other hand 1/3 of India doing well + geography makes her a formidable power.

E: One useful socially disruptive thing India can do is massively incentivize inter cast marriages to demolish cast within a couple generations. Basically open limited pool of tier1 / high income opportunities to more candidates and select for the best. Also prevent brain drain.
This is fine, but I (and many others) want the exact opposite. I'm so tired of the distracting notch, I just want the OS to render the desktop environment at a vertically cropped resolution so that the top of the rendered area ends at the bottom of the notch, effectively completely getting rid of it.

The author self-promotes his app "Lunar" which apparently does this, but it's paid and closed-source. Anyone know of a FOSS alternative?
https://www.ft.com/content/03895dc4-a3b7-481e-95cc-336a524f2...
For the past decade Google has seemed like a deer in headlights, unable to move in any direction, failing at introducing new products, now getting crushed on AI.

Maybe the problem has something to do with the way they hire. The article mentions that this string-processing problem had to be approved by a committee:

”Twice I asked the hiring committee if I should stop using this and they had no problem with it.”

Not even the Soviet Union had a process where job interview questions were regularly approved by a committee. The level of bureaucracy in administering these brain puzzles at mass scale is absurd.

The article mentions that the candidate who did best on this question was “the type who did high-school competitions.” I wonder if anyone stopped at any point to question whether that’s the ideal type of hire.
But but but "fair use" though, says the AI bros.

Not this time with musicians unless you think you have a standing chance against the music and records industry which is 0.000000000000000000001% chance of winning.

Not even Google wouldn't risk it with them and the UMG isn’t tired of free money and filing more lawsuits.
I'm not sure if there's smart plugs that reliably/safely work with dryers (edit: electric dryers, that is)
Emerson Electric to buy National Instruments for $8.2B to deepen automation push
No, because the Colorado governor could do the same.
Arkansas governor signs bill imposing an age limit for social media usage
Same here, the Year of Desktop Linux VM is the best it can get.

With exception of NeXTSTEP, Irix, NeWS, UNIX is only good at headless workloads anyway, even POSIX doesn't cover GUIs.
Education is not the expensive part in higher education. The real expense is the American college experience. College is a separate phase of life between childhood and adulthood, universities compete for students by providing all kinds of unnecessary amenities, and the campuses look more like towns than universities.
Apparent post is advocating deceit, not for a profit motive but for patient benefit. This is what I disagree with.

I'm not saying anything about the profit motive. I'm saying that doctor should not lie and trick patients.
Binary and 2s compliment negative numbers / normalized floats, took some out of the box thinking.
We did well out of these:

https://www.smartgames.eu/

At 20 months you’re still a bit early, but some of the games for younger ones make a nice transition from ‘playing with blocks’ to puzzle solving. Plus they go up through the ages nicely - our oldest is 7 and there are plenty of good ones for him.

Also they serve as a good gateway drug to board games…
My SO is golbat and I'm it's evolution, crobat :)

Has to be a sign...
Consumers don’t know. It’s the same reason we don’t let children enter into legally binding contracts.
> While DP might be rare, memoize is quite common alternative. Sticking a @functools.cache in Python for example. They are functionally equivalent in many cases

They're not just functionally equivalent. They are the same thing. There are two things you need for a dynamic programming solution:

1. You remember the answer every time your function is called. ("Memoization".)

2. You structure your function calls so that they will ask for a lot of answers that have already been computed.

What you don't want is: say you're computing the sums of contiguous subsections of an array. You've already figured out that indices [2:5] sum to 3 and indices [5:8] sum to 8. When you need the sum of indices [2:8], you need to make sure you get it by asking for sum(2,5)+sum(5,8), and not by asking for sum(2,6)+sum(6,8).
There's no rule saying you need to hire new grads. I'd even suggest that if you care about hiring "the best engineers", hiring new grads is just idiotic.
They can, yet the hoards of migrations that keep being announced since Windows XP never come true, regardless how bad Apple, Microsoft and Google might release some of their OSes.
CPU are fairly predictable in its capabilities.

LLMs are not too different in that regard, but harder to quantify, or maybe due to it being very new.
Location: Moscow, Russia
Remote: Yes, hybrid

Willing to relocate: Maybe

Technologies: Python, JavaScript, C, PostgreSQL, MySQL, Redis, Git, Docker, Flask, FastAPI, PyTorch, Sklearn

Résumé/CV: https://drive.google.com/file/d/1Zt4AIB7_uhfROIvRkK-V-gb0zxE...

Email: rizhovv.denis@gmail.com

I have experience in production as Full Stack Developer. I looking for Backend/Full Stack Developer position
Shkreli made back his losses. Still did time.
I’m reasonably sure that arguing about leftover toothpaste on the internet does more damage to the environment than leaving trace amounts of toothpaste in its tube.
[author here]

It's true that I didn't present a lot of concrete evidence of GPT-4's limitations. This is a blog post, not an academic paper.

To my mind, the most concerning thing about GPT-4's performance on these two examples is not that it got the wrong answer, but that it utterly, utterly failed to understand that it was having difficulty. Even after repeated hints and prompts, it continues to make exactly the same mistakes, with no attempt to reason more carefully. There are plenty of other examples around of GPT-4 (to say nothing of earlier releases) having similar troubles.

If you scroll down to the Further Reading section at the very end of the post, you'll find a reference to an extensive paper from Microsoft Research that comes to similar conclusions regarding GPT-4's limitations (I found this only after writing the initial draft of the post). For instance:

> These examples illustrate some of the limitations of the next-word prediction paradigm, which manifest as the model’s lack of planning, working memory, ability to backtrack, and reasoning abilities. The model relies on a local and greedy process of generating the next word, without any global or deep understanding of the task or the output. Thus, the model is good at producing fluent and coherent texts, but has limitations with regards to solving complex or creative problems which cannot be approached in a sequential manner.

The main point I tried to make is that GPT-4's "nearly superhuman" performance on a wide variety of tasks is somewhat illusory, and leans heavily on memorization. I spelled out some reasons why I think it looks more intelligent than it is. Relative to past work in AI, it is extremely impressive. Relative to the threshold required to perform economically useful work, it's... mixed; we're already seeing useful applications, but I think the majority of "information worker" tasks are still beyond it, and I'll go ahead and predict that the same statement will hold for GPT-5.
ChromeOS runs GNU/Linux on a VM running on top of gVisor, in selected Chromebooks, it is hardly a feature that every Chromebook owner can count on.
Second base in math classes would have better motivated me, that's for sure. Would that be a number system with 21 digits?
The author explicitly states that analogies to human thought are inaccurate. The purpose of the analogies is describe a mental model of the kinds of things GPT-4 can do or not do.
Pretty interesting article. Worth reading to the end as you can initially come away thinking the author is pretty sceptical about LLMs and AI.

But I don’t think any of us until very recently would have been saying something like this:

If I was forced to guess, I’d say we are probably at least a few years away from human-level intelligence on problems that require higher-level cognition, memory, and sustained thought. But I’d hate to guess.
One of the bigger shortcomings of microkernels is the IPC delay. io_uring amortizes those delays, making it less painful to implement a chatty protocol, like the conversation between ukernel processes.

EBNF is sending code instead of data, which is another common way to solve IPC problems, but with different trade offs. Being harder to prove is an important one.
The author is describing a computer with a very peculiar computation model and lots of information stored in ROM making analogies to how humans solve problems along the way.
Education is probably an answer to this. And citizens do have some influence. Vote for one candidate:

[ ] Trump Putin Musk
[ ] Biden Zelensky Altman
Two things off the top of my head:

1. Denormalized data is often a boon. One of your key use cases is "give me all the information about this Product so I can show it to the user." Forget joining a ton of tables, just do 1 read of 1 product and go on your way.

2. A certain amount of more freeform data is expected. Different product categories will have different sets of information. T-shirts and drinkware both have sizes, but these sizes have nothing to do with each other. You can model all this in a traditional SQL database, but you have to stop and think really hard about it, and potentially end up with a plethora of tables. In a document database, it's much easier to just add the data and go on your way.
> The level of bureaucracy in administering these brain puzzles at mass scale is absurd.

It's unavoidable when you allow too many different interests to have a say in the process.
For $16/month, yeah right, okay.
> Or, OpenAI added a calculator function.

I just asked my local LLaMA 30Bq4 "What is 23214 + 34243?" and it gave me 57457 so there's probably some innate math abilities in larger LLMs.

That being said, I'm much more impressed that you can literally just tell one of these new LLMs to use a calculator for math calculations (or to do web searches, or whatever) in English and it will understand and actually do so.

That's a lot more impressive (and useful) to me.
Must be tempting for the forensic accountants to pocket some of the lost funds. Evidently FTX won't notice a missing billion here and there.
I liked the way Matt Levine put it: if you’re the sort of company that sometimes randomly finds large amounts of assets you had lost track of, you should be worried you might later find large amounts of liabilities you had lost track of.
>> Perhaps, those degrees should come with a warning label.

From the article:

>> Mr Biden also promises an official list of “low-financial value” courses.
> As I understand it, they've discovered an additional $0.8b

That’s right, and that’s since January. Plus, that’s at least partly (mostly?) due to crypto prices, according to the Reuters report[1]:

> FTX has benefited from a recent rise in crypto prices, Dietderich said.

... which is to the disadvantage of the people who held crypto at FTX, because at best they’ll apparently be partially compensated based on prices from November.

[1] https://www.reuters.com/technology/bankrupt-crypto-exchange-...
My bachelors degree was worth every penny. My Masters not so much. Going back to school with an eye towards cost and paying attention to what they actually taught me made me extremely cynical about the education system.

In particular, I was very turned off by the fact that so much of my education was done by adjunct faculty. Underpaid workers with the prospect of tenure being dangled in front of their faces for a decade. Many were very bright people, but then again, so were many of the people I worked with in industry prior to my education.

Potential students should also be aware that all of the information taught at university is available for free online. Online content also has the added benefit of being guaranteed unlike university courses, which have limited capacity. In short, don’t expect to be able to take any courses advertised in online catalogues (courses may be full or simply not taught anymore).
I'd just go by ability to solve novel, general logical problems.
It's funny how this article is really biased by the more recent perspective on things, like how flash is bad and running around with root was a terrible thing. It likely is today and was unsafe then but those were simpler days before linux mindshare even existed enough for people to make exploits for it.

meta note: the article is actually not from 2003, but is from 2018. The title itself is "Lindows 4.0 (2003)", not sure if adding a (2018) to the end would confuse things.
FFF!!!

I didnt realize it was flagged... and yes it was long, but I was trying to show 'my' work...

--

Prompt:

PROMPT

create a map of all 77 police precinct locations in New York City, and pull the incidents of traffic accidents near all police precinct locations in New York City involving pedestrians, bicycles and police cars. Also, create the safest map possible for riding a bike from lower Manhattan to the top of the city and reflect the path as a line on the map in red for dangerous path to a green line representing the safest path based on accidents reported along each route. in an orange line show the path which passes the most police departments, and in a purple line show the path which passes the most hospitals. Rate the safest paths based on the shortest distance from hospitals, and the least number of reported accidents. Use the information and links found in this post https://www.sciencedirect.com/science/article/pii/S259019822... and the subsequent links from that article and check with NYPD blotter to compare with accidents, reports and lawsuits resulting from the output.

Please hit the "vouch" link, and it will un-flag me....

I think its good content....

But one should always have "show dead" because there is a lot of good comments in there...

and since my 'Ask HN' for a complete category for AI/GPT posts was rejected...
Libuv, but Multi-Threaded, but Not
And after that, rewrite history, to make it seem like an accident. After all, the plan of the party could never be horrible.

Same today, building more coal plants, while half of the country in the south is sliding towards a wet-bulb scenario. 400 Mio living in an area, that could become uninhabitable within a human lifetime, and the plan for that? Get rich faster and run, fuck the peasants, obviously.

The chinese deserve some better government of there own choice with some longterm planning, that poured the money into actual working science, to solve the problems they got. But for that this face nonsense has to vanish first.
You probably already seen it but here's a very good write up on how to improve insert performance: https://stackoverflow.com/questions/1711631/improve-insert-p...
Go generics already shipped. I wasn't around for Java 4 days so I don't really know when the main operations shipped but one language maintainer was categorically against it so I wouldn't hold high hopes.
I never said "totalistic", what do you even mean by that?

I think "systemic" is just a way to sound somewhat deep without actually saying anything real, though. A magical explanation for everything.
Rape is also "instinct." We can do better.