skysight-inc/HackerNews huggingface dataset:
Except, for your first example I would have said “that’s gibberish” instead of asking for more context since I know more context wouldn’t help.

Edit: how did you get GPT to only output bullet points? If the answer is you told it to, why do you have to tell it every time? Don’t you think it would be smart enough to get the hint about your preferences?

I’ll stop now though. The debate about whether people think like LLM’s is silly. We clearly don’t, and it doesn’t make sense why people want us to think we do.

Edit 2: it’s also frustrating that the “I don’t know” example you’re using was hard coded by OpenAI and not generated by the LLM itself.
Here you go:
https://en.wikipedia.org/wiki/Nuclear_submarine#Reactor_acci...
It's also really annoying that "drop caches" seems to be the only interface here. No way to simply limit it.
For more power: QUERY()

https://www.benlcollins.com/spreadsheets/google-sheets-query...
That only works when you can see the place you're connecting to, or have used it many times.

I've definitely cursed many times failing to plug in non-rectangular VGA, serial and parallel cables ;)

[edit: it is still better, but not a panacea]
It isn't the fault of the 1A that we have a signal-to-noise problem, but the 1A severely limits the tools we are able to use to address the problem (because of the simplistic way that "Congress shall make no law..." is written).
Nature can’t really make a nice wheel and free wheeling hub though. Blood vessels would get ripped off, cartilage etc.
Fake It ‘Til You Fake It
Nothing stops you from forking it. I also dislike CLAs from a developer perspective, but I understand why companies require them. In particular, the CLA is likely going to make investors happy, and the investors pay the bills, at least initially.

If the investors eventually stop paying the bills (or if the set of people that want to contribute is larger than the set of people the investors will pay), then fork it. This seems like a win-win, in that developers win because they get Free tools, and in that developers win because the get paid well to develop open source software.
The only protection from a bad guy with a robot is a good guy with a time machine and a shotgun.
Apparently people keep forgetting Swift exists.

"CppNow 2023:Introducing a Memory-Safe Successor Language in Large C++ Code Bases"

https://www.youtube.com/watch?v=lgivCGdmFrw
Very interesting! Reminds me of uClinux for the PSP [1]

Offtopic regarding the PSP version mentioned above: while doing some quick research right now (remembering that my PSP still works, as tested a couple of weeks ago), I sh*t you not, google gave me my own post from 2010. Right in the nostalgia.

[1] https://psplinux.info/tag/uclinux/

[2] https://www.vogons.org/viewtopic.php?t=25416
The Predator Files: Caught in the Net
That link is a paper about Antarctic winter sea ice extent maxima, when your claim was about polar sea ice minima, but I did not follow your argument in any case.

You seem to imply that short term year on year variations in Antarctic sea ice (between 1964 and 1966) is a reason to doubt the multi-decade measurement of gulf stream weakening discussed in the article, but you have provided no reasoning to support your opinion.
Nature shows us that bilaterality works. Connecting two LLM instances together and and giving them slightly different prompts to appraise each others' output is going to be a lot more effective than trying to iterate some monolithic super-reasoning device.
"This report lays out the human rights implications of the Predator Files disclosures, which show how a suite of highly invasive surveillance technologies supplied by the Intellexa alliance is being sold and transferred around the world with impunity. "
Even having a bump on the rubber moulding as part of the standard would have solved the problem.
I tried several times to make it fit in one sentence, but short of a Dickensian abuse of semi-colons it's not really possible to fully explain in a sentence.

My best effort: If you have a very large imbalance in your population vs. your target group (e.g. everybody in NYC, vs the one person who robbed a bank, or the whole population vs. people with a rare disease), then seemingly strong evidence is much weaker than it appears.

Longer example:

Lets say we've matched the DNA of a bank robber to someone using a test with a 1-in-a-million false positive rate. That, on its own, means there is still over a 95% chance (23/24) that they are innocent given that with 24M people in the NYC area on a given day, we would expect 24 people to match.

The prosecutors fallacy would be saying that there is instead only a 1-in-a-million chance that this person is innocent.
I've never encountered this with "many apps" starting to OOM, but many times with one process OOMing. That one will simply crash and everything else continues to run unharmed.
I've taken to adding guidance to my original prompt instead of trying to correct the model. Perhaps having the incorrect answer plus the correction in the context causes it to be dumber?
> can cause fear in business which can lead to "precautionary" retractions... which can exacerbate the actual market problems.

Thing I learned a long time ago from an experience[1]. Managers often place more trust in what they read in rags like the NYT and the WSJ than they do their in house experts. Which is crazy because the guys that scribble for those outfits are relative buffoons with a knack for writing and nothing else. And relying on third hand bullshit most of the time.

[1] VP said we were idiots because what were were saying didn't line up with an article he read in Inc Magazine.
I doubt they were fired. sanitation workers have pretty strong unions
> that's also why I'm asking; because I wouldn't have seen things that got suppressed
Was your problem perhaps because of the hardware bug where popcount unnecessarily stalled on the output as if it were an input?

Later compilers added an explicit zero of the output to work around this issue.
Comedy: did you notice that the next static definition is for a 256 byte lookup table for the unreversed bits too:

TIFFNoBitRevTable[256] = {
0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, ... 0xFF }

Maybe PSHUFB/VTBL to reverse each nibble and then put the reversed nibbles together would be wayyy faster?

I'm guessing portability matters here, and there is not much commercial pressure to actually optimise this TIFF library?
I don't know, loitering munitions are pretty much bringing a renaissance to the field of blowing people up.
There are also reversible USB plugs that are a single "tongue", inheriting that design from USB drives that don't have any plug to speak of but look more like a card-edge connector:

https://www.pcgamer.com/youre-telling-me-we-could-have-had-r...

https://2b.com.eg/en/2b-cv177-cable-usb-type-a-reversible-pl...
Except kubernetes has a whole storage provisioning system that gives you redundancy and automatic failover, if you’re going to the trouble of running kubernetes why not just run your whole infra on it?

I run https://atomictessellator.com solo, using kubernetes, and my database, Minio object store, application servers, quantum workers, everything is all on kubernetes, it’s self healing and much simpler to run all the infrastructure the same.

Recently I had a node failure while I was sleeping and the whole system healed itself while I slept, the monitoring system didn’t even alarm me because the small blip of increased latency while the pods rebalanced wasn’t above the alert threshold so it didn’t even wake me up.

What happens in the article infra when the rabbitmq or database nodes fail? The whole system goes offline, which seems very silly setup when you have kubernetes sitting right there, who’s primary function is to handle all of this.
> isn’t exactly common but it’s not exactly rare either.

Using electronics needs a drivers license like equivalent. Some people shouldn't have access to them if getting an HDMI connector wrong is an issue.
I don't think it's less work with the new, Whatsapp-based way of organising group events. It seems to be more stressful and distracting to all involved. Your friends shoud appreciate the lack of an extra set of dings in a group chat, and gladly let you know about upcoming events where your presence is desired.
Best advice for quality of life for a PhD student living off the PhD stipend - live in a low cost of living area. In math (what I got a PhD in), you get paid the same amount (about $20,000 a year when I started in 2013) if you live the SF Bay Area (sat going to UC Berkeley) as you do if you live in Tucson, Arizona (say going to University of Arizona). There are good universities in low cost of living areas that prospective PhD students should heavily consider - at least I wish I did.
TVS-based surge suppressors seem like wishful thinking to me, especially given MOVs' finite lifespan. Series mode surge protection is the better approach.

And regardless of the protection type, star power/ground and absolutely no wires going from any of the protected devices to other unprotected devices.
Once again, how does this improve national security?

That's offense not defense.
It worsens the national security of your opponent but doesn't strengthen your own.
Hello, I'm the writer of the article. We are using Kubernetes for our whole architecture, consisting of around 40 microservices and cron jobs. I just wanted in this article to give an example of asynchronous architecture using Kubernetes and RabbitMQ.

We are using RabbitMQ because it's my company target solution. There might better so lighter solution that would fit us but having just one for every solution is easier to maintain.

Great comment about GPU hardware acceleration for encoding, I'm going to look this up.
You're right, mine misses the base rate part.
I'm not sure if that's the best example...

Kinda like saying that I have a bunch of very light indoor extension cords and you are wanting to run an outdoor high amperage device (both 110v in this example). Yea, the interface for both is the same, but one is going to be used far less often and require a much more expensive cable for a reason.
This supports VAT, so it's intended for Brits. But it bills in dollars. I found this confusing.
> Numbers (LLMs still can't do math and the ones that "can" are very brute forced and don't generalize)

These seem to generalize.

https://arxiv.org/abs/2211.09066

https://arxiv.org/abs/2308.00304

> Commutative properties (The (idk why anyone was surprised) "reversal curse": https://arxiv.org/abs/2309.12288)

This was a retrieval from training issue not an inference one. and make no mistake, people will fail these sort of answers too (perhaps not to the same extent). Very often someone will learn a fact in a certain why and fail to recall that when asked in a reverse or roundabout way.

Communicative properties are not something that occur in the vast majority of text or language. It's not "generalization" for training to treat it as such lol. Since they can answer such questions just fine during inference, It makes little sense to say an LLM doesn't understand communicative properties.

> How to say "I don't know"

There's quite a lot of indication that the computation can distinguishing hallucinations. It just has no incentive to communicate this. Don't blame the LLM here. Blame the very human data that doesn't encourage this.

GPT-4 logits calibration pre RLHF - https://imgur.com/a/3gYel9r

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback - https://arxiv.org/abs/2305.14975

Teaching Models to Express Their Uncertainty in Words - https://arxiv.org/abs/2205.14334

Language Models (Mostly) Know What They Know - https://arxiv.org/abs/2207.05221

I'm not trying to say that LLMs are perfect. and as long as people understand that saying an LLM doesn't understand x doesn't mean an LLM doesn't understand anything at all, i'll happily state weaknesses.
I'll be curious if they can unring this bell.

If nothing else, this reminded small developers how vulnerable they are in terms of negotiating power.
I can't really speak for many other institutions. I know plenty of robotics labs that are doing completely civilian work under NSF grants, grants from corporations, some civilian manufacturing and automation work through the national labs, etc. And even among those institutions working on DARPA-funded projects, not every institution has NREC right down the street working on autonomy systems for ground combat vehicles: https://www.nrec.ri.cmu.edu/solutions/defense/other-projects.... The research done by students at CMU directly makes these types of weapons platforms possible, and vice versa.

It's certainly true that many, many universities are deeply embedded with the DoD, defense contractors, and other weapons manufacturer ecosystems. Certainly CMU isn't exceptional here. But I think it's very important to keep in mind the reality of these programs when they come up in the news, like this article, which is why I left the link to how "the other side" sees these types of research programs.
Yeah, though it’ll probably be non-preview in six months, so if that’s what’s holding you back you don’t have long to wait.
> Castle builders knew that it didn’t really make a huge difference which way the stairs go, they’re not suitable for fighting at all, neither party has a lot of space to wield those long, pointy, sharp weapons.

This is written by someone without experience in hand to hand combat as many weapons were blunt (like a mace or club) and a rondel dagger in an unarmored spot is far more difficult to parry than a sword. Speaking of which, a rondel dagger was specifically intended for grappling situations. Thrusting weapons were in many cases preferred for tight quarters combat although there are slashing weapons specifically designed for tight quarters combat as well. Sword variants like longer greatswords specifically designed vs. halbred or pike formations were not ideal for close quarters, but there were several short sword types

Even in more ancient times, weapons such as the Sica, from which we get the word sicario, were well known as a tool used in gladiatorial combat, and in the Judean wars. Additionally, the gladius wielded with the large shield, the scutum, was only an 18 inch short sword. Short because it was ideal for close quarters fighting via a thrust against other heavy infantry.
Thankfully ART not only uses JIT, it also has an AOT compiler with PGO data shared across all devices in the ecosystem via the Play Store.

In practice, people should learn how Android actually works.
I used to "bedazzle" my USB cables. Bedazzling is when you decorate something with little plastic reflective jewel stickers. I always put the jewel in the same side (the "top") so I could feel which way the cable should be oriented. Then I could be confident I had the orientation correct without looking.

I called this USBedazzling. The other folks in the office didn't think it was a funny as I did.
Is it needed in C? I think it's just a specification difference since most compilers should be able to do the same job, clang and gcc at least.
As Russell's teapot [0] demonstrates, that is not the case. A thing, whether the existence of a teapot floating in space, or an old architecture myth, is by default untrue until sufficient evidence arises showing it is true. This article is simply pointing out that such evidence doesn't exist in the staircase attacker theory.

We do not believe that maybe it is true this teapot exists, maybe not, simply because the initial hypothesis (that it is true in the first place) hasn't yet been falsified. If that were the case, I could make up a thousand improbable myths, and say they're all maybe true, maybe not, and we would have to treat them all as equally plausible until someone wastes their time trying to disprove all thousand, and then I could make up a thousand more.

That is why the burden of proof of truth lies with the person asserting the truth of a teapot/staircase belief

To add to your A vs. not-A problem, you are close to identifying the resolution, too: For an analogue in statistics, A = "this staircase explanation has sufficient evidence to say it is true", not-A = "this staircase explanation does not have sufficient evidence to conclude it is true". Not-A here is example of what is called the null hypothesis in statistics. The null hypothesis is the default.

[0]: https://en.wikipedia.org/wiki/Russell%27s_teapot
For device manufacturers, GPL3 is just as onerous as AGPL.

As an end user, I'd rather not use GPL3 software that has a carve out that enables the software to be used by privacy hostile service providers that routinely force-upgrade their user customers to worse versions of their systems, but that prevents people from just sticking a customized version of the software on a gizmo and selling it to me.

After all, I can least air-gap and not upgrade most gizmos.

Anyway, I wish they'd rename AGPL to GPLv4 so the infamous "or later" clause applied to it.
It figures it out if you point out the difference much like a human would when faced with a riddle they didn't get.

https://chat.openai.com/share/34df3eb0-c41c-4c5b-80d2-48f5d0...

I'll be honest, the only reason I knew to read your variation of the farmer-boat problem carefully is because you set me up for success - I knew it wasn't going to be the original.

Curiously, I haven't been able to get it to one-shot the question, even by prefixing it with instructions.
> I don't care if highschoolers will run with obvious, low quality crap.

> which includes things like harassing exes and potential employers

You are completely missing the point. Also, your repeated requests that I engage in sexual harassment is weird.

The damage of sexually harassing messages being sent to your friends and families can be just as damaging regardless of whatever small quality issues that you think exist.

You are confused about what the issue is. People are still significantly harmed via this harassment, even if there are quality issues. The "accuracy" isn't the determining factor here. Instead, it is the sexually harassment messages and images being spammed to people surrounding the victim.
Managed languages also exist in AOT with PGO data.
The platform will grow beyond the bubble because Preneur offers a platform where entrepreneurs can focus on whats important. The startup bubble is due to startups gaining too high of a valuation, it is not due to a lack of problems to solve but rather due to a lack of entrepreneurs solving actual consumer problems.
2 seconds is pretty slow, especially for a single item lookup which is about as good as it gets for database lookups etc.

Where is that time spent?
"Warp Drive" dates back to 1947 (John Barret, "Stellar Snowball") according to sfdictionary.com (a resource I love for this kind of question).

Other phrases like "Space Warp" go back even further (Nat Schachner, "The Son of Redmask", 1935).
That doesn’t mean it does any “reasoning”. It generates a response text that looks like a response to the input text. The whole point is that it generates responses that aren’t in the training set. But the fact that the response is actually a correct one is just coincidence.
At 7:47:40 he shows "the interface" and says "please go test it out" but I'm struggling to find where it is. Anyone have any luck locating it?
It seems that statistics and the most probable outcome are both a blessing and a curse at the same time for these models. This is exactly the same issue I'm facing with many programming tasks that don't have typical Stack Overflow answers or combinations of Stack Overflow answers and GitHub code. After pointing out mistakes, it acknowledges that I'm right by repeating what is wrong, and then it produces incorrect code again. I've tried multiple times for many hours to see if it can produce the correct solution using different prompts, explaining exactly what is wrong, and it still fails to correct itself.
The same organization that secretly dumped nuclear waste into the ocean? You think they would tell you if they had accidents?
I'm the writer of the article; I LOVE howvideo.works. It helped me quite a lot when I started working on video processing. I'm still a beginner and always fall back to it when I'm unsure about something fundamental. Thanks for your work. I'll take a look at your YouTube channel.
Nuclear is so much more expensive than renewables that even with issues of storage and transmission, nuclear still loses at base load. This is especially the case when one projects costs into the future, with nuclear having to compete against the renewable and storage technologies of 10, 20, 30 years hence.
This post is somewhat unfairly voted down.

Cloud services like S3 and Azure Storage were invented specifically for hosting images and video. That’s their origin story, their foundation, their very reason for being.

Similarly, cloud functions / lambda were invented for background processing of blobs. The first demos were always of resizing images!

Building out this infrastructure yourself is a little insane. Unless you’re Netflix, don’t bother. Just dump your videos into blobs.

It’s like driving to your cousin’s place, but step one is building your own highway because you couldn’t be bothered to check the map to see if one already existed.

PS: Netflix serves video from BSD running directly on bare metal because at that scale efficiency matters! If efficiency doesn’t matter that much, use blobs. Kubernetes is going to be even worse.
Never have I been able to successfully plug a PS/2 port in by haptics alone.

I can totally see how they were designed to theoretically allow for it; practically, the tactile feedback for the correct orientation is just way too subtle.

And regarding the two different ports: I can't remember (or rather, I was never motivated to revisit the plugs once connected to experiment, since it was such a pain) – was there a technical reason for that, or could modern mainboards/BIOSes/OSes detect and correct for that?
Great, go fast. But having a crew generating hydraulic power with their arms is ridiculous
Are you suggesting that tech from before some epoch should just be categorically ignored? If so, I disagree.
Assuming “correctness” as being a hard criterion will greatly limit your ability to get powerful and very useful output from LLMs.

A person doing some knowledge work will fail on this criterion. But they still are employable and generally regarded as being useful.