skysight-inc/HackerNews huggingface dataset:
Why do some people's problems get the validation of the medical system and others don't?

Very roughly, because some people can't function without intervention (for loose definitions of "function"). And some treatment (therapy, drugs, whatever) can help them function.

Autism 1/Aspergers is sometimes kind of borderline - some people can function with it, but it can exact a heavy tool on them as a sibling comment noted. Depress and suicide are relatively more common. Why go through life miserable if it's not necessary?

People without autism or other diagnosable issues are generally more resilient. a bad week, one-off negative occurrence, etc won't send them into a tailspin. That's a very real concern with some neurodivergent individuals.

And you do have to remember, it's all a spectrum. And as observers, we don't know what a person is feeling/thinking internally and not expressing.
"All of those surveyed patients from the NHS pilot said their experience with Flok had been at least equivalent to seeing a human physiotherapist, with 57% of patients saying they thought the AI experience was better."

Not to be mistaken for science.
Stuffy nose is a common side effect of sildenafil itself. UK NHS lists common side effects as anything affecting more than 1 in 100 patients.
"A preponderance of evidence" is the standard for a civil case which is what this would be, "beyond a reasonable doubt" is the standard for a criminal case.
The strangeness of this argument is its unnecessary for any one technique to be all in capable because a mixture of techniques is more powerful than one alone. A LLM forming an abductive “plan” and synthesizing results from agent functions that do the deductive reasoning, optimization, math, and other functions LLMs are bad at is remarkably powerful and is incredibly flexible in new semantic contexts. Who cares if LLMs can solve partial differential equations if they can establish a partial differential equation to solve given semantic context and a sufficient training set of semantically grounded PDEs ? That can be delegated to the last 70 years of research on numerical methods. Similarly we don’t expect a recursive decent parser to play chess, but you can absolutely use a parser to make a grammar that exposes a chess playing solver. The combination of the solver and the grammar that enables its use is more powerful than the sum of its parts.

LLMs neatly solve an enormous number of hitherto unsolved problems and yield untapped solutions to many more. Generative AI in general composes in powerful ways to unlock even more - semantic analysis of visual information expressible directly in structured language alone is powerful, as is exposing generative robotic motion and audio processing, paired with solvers, optimizers, etc - what’s the residual? Synthetic agency? We’ve had multi level goal based agents for a long time. One that’s reprogrammable by the generative model assembly?
Since LLM and keyloggers are turing machines, it won't happen. (Or more precisely: it won't beat the cat and mouse game of obfuscations.)
I watched this when I was a kid in the 80s in Canada. It was super interesting and made me want to learn how to program. Unfortunately my parents weren’t rich enough to afford a computer so I never got into computers until I graduated from college, but here I am now in my 50s and in Silicon Valley as a full fledged programmer.
Don't forget the weirdness of AVX-512 masks in AT&T syntax!
Wow,

We have gone from hallucinations to bullshit.

Still anthropomorphizing. It's not alive, it's not intelligent, it wont ever get there, it wont be sentient or sapient.

These are bugs, or defects, or bad design, or product failures.
Can someone with experience in hiring and firing help me understand something? Microsoft has many open positions listed on their website[1]. Why would they lay off people they've already invested time and money into hiring and developing, instead of offering these employees the open positions within the company? Doesn't this seem counterproductive? Why are big tech companies so quick to fire employees?

[1] https://jobs.careers.microsoft.com/global/en/search?rt=profe...
Cowen Life Lessons
I wonder if it is just CGI. Seems too high resolution and frame rate to be feasibly shot with microbolometer sensors.

As far as I remember these sensors still use a small physical mechanism to clear their state so they have a very distinct refresh pattern that's entirely absent from the video.

And this music video is at least 10 years old.

Edit: Looks like it was actually shot on a FLIR SC8200. Very impressive work and a nice read. [0]

> The thermal camera isn’t designed to be moved around quite the same way a film camera is. It is meant to be used while tethered to a Windows laptop over ethernet, connected to Flir’s proprietary software. The camera has no buttons; instead, the software is used to set it up and record. In essence, in this setup the computer is the brains of the camera, while the camera itself is just a sensor. This obviously wouldn’t work in the context of film production, as we couldn’t keep the computer connected to the camera at all times — especially since Adam planned to shoot the entire thing on a steadicam. We did, though, find an alternate way to use the camera. The camera offers an SDI out that is always outputting signal, and we discovered that if we set up the camera with the computer connected to the software, we could unplug the ethernet cable and the settings would stick. We used a Sound Devices PIX 240 ProRes recorder to capture the signal and shot to that.

[0] - https://medium.com/@irvingharvey/metering-with-heat-shooting...
Being in a wheelchair is rarely going to be caused by a disorder, also autism is different insofar that the negatives and positives seem to be linked to eachother and are not merely a matter of random circumstance.

But practically, the disorder definition above basically would lump the above poster in with somebody who was struggling to hold down a part time job or any social relationships as having the same level of disability. All therapies, treatments, accomidations, etc will end up calibrated for the more profoundly disabled person while being offered to the above poster. Generally, peoples first impression of the person will understandably be based on that of the average person with autism spectrum disorder if they're told they're autistic which will cause them to be pretty profoundly misunderstood.

That's just my take on this.
Thank you for this description of how it works. It seems like truly beautiful and terrifying magic.
Researcher suggests that gravity can exist without mass
They're not real positions
> or how neurodivergent is really is from much more common extroverted people.

Do you mean to say that neurodivergence is more common among extroverted people? If so, do you have sources for that? I have not yet heard of any relation between extra- (or intraversion) and neurodiversity.
I would like to address few thing - I am addressing from my friend's account : This is the only account , since you can check it talks about Concordia university, which is where I study.

Linkedin : https://www.linkedin.com/in/russ-aulakh/
Email russ.aulakh@gmail.com

1.Since I have posted in 9-10 subreddits , reddit has put a ban for 7 days, thus i am not able to reply you guys. I will respond to each and every comment after 7 days.

2. All companies (PointsYeah , seat.aero, roame.travel scrape airline websites, some like point.me likely buy data from Amadeus, I was also scrapping airline websites like them. I have never touched pointYeah.com ? why would i when I can directly use airline websites.)

3. I have Calendar View , which none of these sites had - ( because In my opinion NO on wants 1000's flight for next 30 days , people want to see prices , which i was providing), also I only had 3 airline programmes , because i could not figure out others , all other guys had 16+. My goal to build flymile was to build a resume project that would lead to internships, as you know tech market is not in well shape now.

4. I am also busy securing my website, and talking to my professors at school for advise and to potentially represent me in the court.

5. I am reaching out to people like Coffeezilla to investigate this guy, because i have found series things about his previous company MilesLife.

6. I also have meetings now with his competitors.

7. Some people said this is marketing , I have no interest to do such shitty thing. I just want to tell people truth of this guy, so he never threatens anyone else (I am a coffeezilla fan , so I have to do it for all people like me.)

If you have any questions , You can reach me out at my LinkedIn https://www.linkedin.com/in/russ-aulakh/ or my email russ.aulakh@gmail.com. I would make a video message if ever needed

Finally, I want to say thank you to all for supporting me, Again I never scraped him. and I would like to add that being a Coffeezilla fan , I am not afraid of his threats , I will fight back.
I am not only fighting for myself , I am fighting for all these people whom these guys can eat just with their threats.
Ok, we changed the URL to that from https://paleofuture.com/blog/2013/4/30/darpa-spent-1-billion... above.
WHO: "No level of alcohol consumption is safe for our health": https://www.who.int/europe/news/item/04-01-2023-no-level-of-...

Related discussion here: https://news.ycombinator.com/item?id=34752193

It's rather a fact.
Yeah, admittedly it's confusing terminology generally, because it's still natural to say you're swapping the page tables out when you do a context switch on current systems. I probably do at some point in the post!

The distinction I was trying to get at was that, in early Unix, all process bytes were being actively streamed to and from disk as part of scheduling because the hardware didn't yet have a concept of virtual memory. So, if you wanted to make a program ready to run, you had to fully load it into memory, and shove anything else out of the way right then and there. That makes the scheduling function 5% deciding what should run, and 95% playing memory sokoban to make that happen.

OTOH, on systems with paged virtual memory, the scheduler is almost entirely "what's a good thing to run?", and implementing that decision is updating a couple of pointers. The only place the memory hierarchy creeps in, is if the scheduling algorithm wants to be fancy and account for things like NUMA nodes in its ranking of tasks.

I think it's reasonable, looking at it in isolation, to describe this part of the kernel as a "swapper", or the operation as "swapping". I think where it turns into a bear trap is when presenting these concepts to folks less familiar with kernel internals, where words like "swap" and "pages" are firmly the domain of the memory subsystem. And so, if I hand them a task and say "this is the swapper", IMO the majority will interpret that as being a component of virtual memory management, and they wouldn't be at fault for thinking that.

Empirically this happened in the 2008 wikipedia edit: "swapping" mutated to "paging" because in modern vmm-land that's a valid synonym, and that in turn became "this task is sometimes called 'sched' for historical reasons, and it handles paging" on the web. And cue a decade of confused students and stackoverflow users asking followups like "but if this task does paging, why does linux have all these kswapd threads?" That to me suggests that, for better or worse, the memory subsystem owns those words now, and the rest of the kernel has to be very careful if it uses them to mean something else, if it wants to avoid casual onlookers creating false associations. Something something naming things is still the hardest thing in computer science :)
I still love using DNSBL as part of a score-based approach. Add Bayesian filtering, spf/dkim scoring, a greylist, and postfix options like RDNS checks.

I see a few spam a week, have never seen a false positive. I think greylisting made the biggest difference after sane-sender checks.
I haven’t looked at the source code of a single npm package I’ve installed in the past 5 years.

“It takes a few minutes”

Dude my web dev projects have like 1,000s of dependencies. I’m not going to check the source code of every package tailwind requires.
That Much-Despised Apple Ad Could Be More Disturbing Than It Looks
The authors’ definition of bullshit ("soft" bullshit at the very least) applies no matter whether the bullshitter is sentient or not: text produced without concern as to its truth value.
There's another factor that sometimes is in play here: tax treatment.

I used to take my employer's dental coverage. I considered the expected value to be "negative" and could easily self-insure. Yet it was a good deal anyway: I could pay the insurance cost with pre-tax dollars, but if I paid out of pocket it was with after-tax dollars.

This is also why you periodically see news things about *big* employers taking out insurance on all of their employees. No, it's not an indication they are being unsafe, but taxes. The proceeds from life insurance are tax free. The insurance company invests the money, when it's paid out that's not taxable. Done on a big enough scale the overhead costs are less than the benefit of converting taxable gains into tax free gains.
Long time Kdb/q enthusiast, absolutely NO enterprise deployment experience whatsoever.

This feels like a ‘pick your poison’ situation. You’ve been told already you won’t be allowed to dump kdb; it’s probably embedded in your infra in a bunch of ways, and ripping it out is a no-go.

OK, so, you have data in kdb. What you’re doing right now (it sounds like) is using it as literally just a raw data store. That’s the worst way to use it; a lot of work went into making it very fast to run summarization/grouping/sorting/etc all right on the kdb servers. Note that this is very unlike how an Apache project works.

Unfortunately, you wrote a rust library that probably doesn’t really distinguish your kdb storage from, say, JSON files, so you are at a crossroads.

Option 1: Get some good data cloning up, clone data over to your preferred generalized data lake tech, run rust against it.

Option 2: Go through your rust code with a fine tooth comb and figure where exactly it’s doing things that cannot be done semantically in q/k. Start slimming down your Rust lib, or more exactly, rework what queries its sending, and what state of data it expects

Option 3: dump your rust library and rewrite it in q or k.

Of these, I would be willing to bet that for an ‘ideal’ developer, meaning a 160+ IQ dev skilled in Rust, vs a 160+ IQ dev skilled in kdb, vs a 160+IQ dev skilled in say Java + Spark, Option 3 is going to be by far the least resource intensive in terms of deployed hardware, and the fastest / lowest latency.

That said, given where you’re at, a principled Rustacean who’s looking at coming to grips with kdb realtime, I think I’d recommend you think hard about Option 2. By the end of Option 2, you will probably be like “Yeah, this could be all k, or nearly all,” but you’re likely going to have some learning to do.

Think of it this way, when you’re done, you’ll be on the other side of the cabal, and can double your base rate for your next gig. :)
Unfortunately, no, because the existence of LLMs that can automatically determine code that is suspicious will be offset by the existence of LLMs that can generate malicious code that bypasses the detection abilities of the aforementioned LLMs.
I expected dumb gameplays and influencers. Somehow zero of those. Almost all the random samples have been immensely interesting.
>And not only that, but I encounter colleagues conversing in Hindi, Russian, Hungarian, Polish, Greek etc. Any of those conversations is one I'm locked out of, and unable to contribute to.

I had that happen on occasion, every time it felt pretty exclusionary and somewhat rude, so I tried to always speak in english if that was the only common language among people tangentially involved in a conversation.

But even that is certainly not ideal, it has been pretty clear to me that, even though I have absolutely no problem speaking and understanding English, talking to a native speaker in my native language leads to much quicker and clearer communication.
You've really only redefined the spectrum. It's now a single spectrum from Autism to Schizophrenia. You can't be on two spots on the spectrum at once. You've still put everyone on a spectrum and my question still stands.

How far on the spectrum towards schizophrenia have to be before they are clinically schizophrenic?

I don't disagree with the tendency to place things on spectrums but I find that people fail to adress that some people are so far on any spectrum that they become clinical.
cc65 aims for full C language support, which kickC does not have, but cc65 code will never look like hand assembly which kickC often does.
I'm not sure I ever managed to hear a 19kHz tone, but I'd say it might have been possible (or the tone was a lower frequency one).

But yes the old CRT whine I could definitely hear
OK, so:

1. I think I only got one grid that was unsolveable.

2. That was my first grid.

3. I was only playing with addition.

4. I completed exactly one round.

Because the "unsolveable" grid was my very first, I may well have pressed on without investigating too much, because perhaps things would become clearer; and indeed, all subsequent grids were easy to solve.

So please don't treat my comment as a bug report! If you've taken trouble to avoid that outcome, then almost certainly the error is me.
That all depends. Is "1835 73rd Ave NE" Bill Gates' address, or would it be more natural to call it the address of his house?
https://www.gawkerarchives.com/on-smarm-1476594977
No, they cannot work with large code base, not yet. And have very limited talent for logic and debugging. They may improve at some point, probably will be hooked up with external tools.
No need to hide it inside dependencies, just modify the code before building and pushing the package to PyPi.
"they" as in hardcore hobbyist with multi thousand dollar rigs who spend their time talking on old game forums. Sure, there's a minority that cares. But those gamers aren't why Fortnite sells like Fortnite. They aren't why the Switch is on pace to be the best selling console. They aren't why the indie market is viable as a potential livelihood if you get a bit lucky.

But this is all tangential. They may have all these fancy hardware but they either have no understanding of hardware, or are simply tonedeaf. If you're expecting the same specs out of a 2017 smartphone compared to a PS5, let alone a top end pc build, there's simply not much more I can say. Learn that a handheld has more considerations than a towering console when it comes to being a proper handheld. It's a 720p specc'd screen, of course any 3d game trying to be modern won't bother going higher.

I never saw people complaining about a 3ds not having ps4 performance, so this to me seem like a recent sense of entitlement or ignorance amongst said enthusiasts. The Switch doesn't have a GPU dock (which would cost more than the console itself, even if it didn't include a GPU), so just because you project it to a screen doesn't mean it's suddenly console hardware. You could project a PSP to a screen back in the day. Nintendo just made it work out of the box.
I think the title is intentionally inflammatory, but I do think we need more criticism.

We have a group of people trying to convince the world that LLMs may possibly (it could be 50+ years away!!) turn into AGI.

We have all these impressive benchmarks "WOW 91% in MathEval!!!" but go ahead and use the OpenAI API to do y=mx+b and watch it completely fail at any number over 4 digits.

We have the coding benchmarks, but watch it still use var instead of let.

All the numbers are going up, but it still feels primitive and cannot be trusted. This is almost 2 years later this point.

We've got people bolting on a dozen other solutions to make LLMs work, theres probably tens of millions of LOC now written to make LLMs functional in apps, so much for reducing engineering jobs.

IMO look at machine vision, we thought we were 5 years away from autonomous driving 15 years ago. It's still evolving and the tech only partially uses machine vision. Meanwhile its revolutionized dozens of other industries. Same is happening with LLMs.
Very nice, love it. I play the chess version of this pretty often. You might like to take a look at Lichess’ Puzzle Storm (and Puzzle Streak/Puzzle Race) for some inspiration on other game modes.

https://lichess.org/storm
In this case, the jury would also decide damages, including punitive damages above and beyond that requested by the prosecution.
I'm curious if it'd be possible to use a Code LLM to scan GitHub repos and detect possible malware hiding in source code.
Those also save time for all people? Which also saves money? I don't think anyone was like, "we need a language to save us from having to hire all these weird people!"
I can understand the disagreement with your comment in general, but this is a media codec. Its time to just stop with the unsafe memory languages in this domain. While I am personally more inclined to use Rust, there is that provable language from Google designed exactly for this. Its blatant negligence at this point, and liability seriously needs to be on the table.
Yes, black holes often tend to accumulate accretion disks of normal matter, which interact electromagnetically. Large black holes can capture stars and tear them apart, making these processes observable. However, if a tiny black hole with very high velocity hits a star, it will simply pierce through it like a bullet, entering on one side and exiting on the other.
The idea that these language toys are in any way a step towards AGI is risible and will seem incredibly embarrassing in 10 years.
Your car does not count towards the asset limit as long as you own only one.
sometimes, but in a constrained situation, e.g. at a hotel reception desk, maybe not.
you mean lineage android 11 in a container
Good for simple tasks.

- Generating tables from mashed data.

- Sorting data.

- Creating small scripts.

- Giving some code and having it change it or add something else.

But for anything other than this I still prefer Google. For many different reasons: trust, website experience vs chatbot, and recency of data.
> If you write for any CPU other than an x86

The at&t syntax didn't appear in a vacuum. There are several architectures, e.g. popularly m68k, which use this order.
Yes, but it's the wrong definition. The fundamental reason people bullshit is that they have something to gain. LLMs have nothing to gain. So it is much more appropriate to call what they do "hallucination" rather than "bullshit".
> the models are in an important way indifferent to the truth of their outputs

Everyone who spends a bit of time with LLMs is aware of this.

My question - and I hope someone can address it in the discussion - how is it possible that we see such incredible investments in LLMs?

What are the c-suite execs and specifically CTOs seeing that is worth adoption and investment? These are very smart people.

I, as a laymen on the periphery of this phenomenon, am acutely aware that LLMs are not useful in applications requiring accuracy. I would not invest my company’s dollars or resources into such a technology.

But they do. What am I missing?

Is it the promise that LLMs will replace employees? How would that be believable for anyone willing to investigate the technology and its limitations, even a little bit?
I was young. My mother could not hear it and thought I was just being annoying. This is several decades ago, now I can barely hear my turn signal blinker and am preparing to emulate my father's practice of driving a few miles with his blinker on after signalling a lane change.
Designing a Lego orrery
An important citation for contextualizing the title: Frankfurt, H. (2005). On Bullshit, Princeton.
I'll never forget the first time I booted up GLQuake. The mid/late 90s was a really special time in gaming getting to watch 3D games really get off the ground.
Are 'geek' and 'nerd' now positive terms? (2012)