MurphyA/hacker-news huggingface dataset:
by SAI_Peregrinus | 2025-11-04 18:28:22+00:00
> The diode is given neither the mathematical rigor of linear circuits nor the red-carpet treatment of the transistor

Sedra/Smith dedicates Part I chapter 4 (pages 174-229 in the 7th edition, not counting the exercises) to diodes. That's longer than chapter 5 (MOSFETs) or chapter 6 (BJTs), and a substantial portion of chapter 3 is devoted to pn junctions. "The Art of Electronics" by Horowitz & Hill dedicates less space to diodes, but it's also much less mathematically rigorous. And they have you building radios & diode mixers before they introduce any sort of transistor. So I'm not sure I agree with this line since neither of the two most popular university electronics textbooks really fits that characterization. It's definitely true of many online electronics "tutorials" though.
by ratmice | 2025-11-04 18:28:32+00:00
> * With a great non-political community (actually, this is the biggest lie of all).

I recall the opposite, that the rust language (before the foundation) position was that being apolitical was a political stance. This is not the exact message I remember https://x.com/rustlang/status/1267519582505512960 and also can't realistically cover the entire community at large, as if that even has a single political stance.
by Shocka1 | 2025-11-04 18:28:44+00:00
A lot of people, especially the tech crowd, have been taught in undergrad the importance of critical thinking and evidence supported conclusions. Also, I think the science/mathematical mind is drawn to this line of thinking as well, which is understandable. I know extremely well how they feel, as I've always operated the same way.

That is why faith in some kind of God or afterlife goes against everything we in the tech crowd are trained to do. The hardest thing about being a Christian or believing in an afterlife IMO is the faith aspect itself.
by JumpCrisscross | 2025-11-04 18:28:48+00:00
> Both Palantir and Nvidia have high IVs

The relevant Greeks are delta, gamma and vega.

If your bet pays off, the price of the stock will decrease. Delta predicts how your option will increase in value with that; gamma if that relationship will accelerate or buffer. Vega, meanwhile, informs that the price suddenly crashing is volatility, which increases the value of your options.

Succinctly, if you are betting on a crash, options offer advantages. (And if the market, but not your company, gets bailed out, vega could put you middlingly in the black.)
by giraffe_lady | 2025-11-04 18:28:56+00:00
> But for someone who has SNAP benefits, but isn't using a SNAP coupon to buy food (you know... because the government isn't funding the program), do these rules still apply?

The lawyer that does pro bono work for the food bank I volunteer with believes this rule doesn't apply in this case for exactly that reason. But the legal challenges will take time and the threat is effective now regardless so it barely matters.
by zamadatix | 2025-11-04 18:29:04+00:00
You REALLY don't need to care about querying the whole population for these kinds of statistics. Steam has a MAU of at least 132,000,000 users. To randomly sample from just 17,000 users (0.0012% of the MAU) would provide a 99% confidence the sample is within +-0.5% the actual value. Given that you've personally been selected multiple months, they are almost certainly well and above a sampling rate worth worrying about.

The survey does have other statistical noises/biases/errors though - but none nearly as large as this "gap". E.g. internet cafe reuse of the same machines by different accounts means if you're hoping for a "hardware popularity survey" instead of a "hardware users use popularity survey" then the number won't always make sense.
by datavirtue | 2025-11-04 18:29:22+00:00
It was done in bad faith. The Trump administration is well known for this hateful, spiteful behavior. They just have to control everything. No exceptions.

This whole thing with SNAP is an experiment by them. They are trying to introduce "temporary" measures and situations to condition people. The Nixon zombies running the Republican party have dreamt of this opportunity for decades.
by senfiaj | 2025-11-04 18:29:28+00:00
Sorry. My bad. Looks like the size is also very sensitive to the method of compression and software as well (regardless of being PNG or WEBP). I found another PNG picture here https://www.freecodecamp.org/news/where-do-all-the-bytes-com... it is 64KiB. When you stretch the image, it's also likely to add kilobytes. I guess I need to update the image.

But anyways, I think it's still very demonstrative when an entire game size is smaller than its picture. Also consider that even your tiny PNG example (3.37KiB) still cannot fit into the the RAM / VRAM of a NES console which shows the contrast between these eras in regards of amounts of memory.
by Marshferm | 2025-11-04 18:30:18+00:00
Neuro symbolic will fail as quickly as LLMs. Intent or agency is an evolutionary threshold, not a cog sci one. You can’t task vary demands by proxies that are arbitrary and craft continual specifics. That’s what separates math computation from analog integration. There’s never a stop, a bug, a crash in a task that isn’t recoverable unless death, injury or sleep (food, etc) is in order.
by roguecoder | 2025-11-04 18:30:18+00:00
Frameworks are a major contributor to these dynamics, which is a little unfair to blame on the language, but I've seen orders of magnitude difference.

I had one time it was faster for the three of us to rewrite a web app in Rails than to make the Play framework accomplish what we wanted it to accomplish, even though none of the three of us had ever worked in Ruby before. Rewriting four months of work took two weeks because Rails neatly supported what we were doing and so much could be generated. We ended up with better test coverage too.
by mindslight | 2025-11-04 18:30:48+00:00
It's even worse than that, as Palantir is a Party business. Betting against that is like betting whether specific people were going to be airbrushed out of photos in Stalin's Russia. And if you have that kind of insider insight, why short instead of making a positive bet on whomever the new Party darlings are going to be?

Maybe it makes sense based on the dynamic of the Party needing to run through scapegoats? One could possibly see that Palantir is about to be thrown under the bus, but only connected insiders will know who its exact replacement will be? Personally I don't see signs of Palantir being close to the chopping block though.
by ivape | 2025-11-04 18:31:12+00:00
Burry was right about a scam. AI is not a scam. His short positions could simply be a conviction on rate of growth. If he was truly shorting it into collapse, then I'd say he's misguided here.

There are also other factors that affect Nvidia. Any move on Taiwan can collapse Nvidia's price down to zero. Hyperscalers can also shift orders over to AMD, Intel, ARM and Broadcom. This is inevitable, but you can't be too early with this.

Lastly. I don't know how technical Burry is. If you showed him LLM tech in 2017, would he have recognized it? There are things about this tech that he may not even recognize even if you showed it to him. You can literally show some people full generated video and they still wouldn't get how much compute it takes to do that.

Finally, the world is not just a giant Tulip bubble. There's actually trillions of dollars moving around every day and people innovate and consume. It's not just a giant Ponzi scheme waiting to collapse.

--

As for Palantir, as many have mentioned, I would not consider shorting Palantir until year three of this administration. Palantir may lose favoritism with the next administration. Maybe. As we witnessed with the MAG7 CEOs, these people are prepared to change their entire value set to win the business of those in power.
by JumpCrisscross | 2025-11-04 18:31:16+00:00
> never understand what it is about Israel that makes people lose their minds

Availability heuristic [1].

Flat earthers and folks deep in their small-country national politics do the same thing, overestimating the causal weight of the thing they’re obsessing about to any effect.

The useful takeaway is to recognize when you do it in smaller doses. What’s the first explanation you tend to have a hunch for explaining phenomena which are too diverse to be reasonably explained by a single factor.

[1] https://en.wikipedia.org/wiki/Availability_heuristic
by benjah | 2025-11-04 18:31:24+00:00
I looked into using https://github.com/mybigday/llama.rn. Ultimately, it was too slow to be conversational. The demands of the rendering the WebGL would likely not help.

It was a while ago. If I was to do it over again I might try https://github.com/tirthajyoti-ghosh/expo-llm-mediapipe. Maybe newer models will help.
by the__alchemist | 2025-11-04 18:31:47+00:00
Yea; true. My thought when evaluating these was "I am confident the price will drop significantly within the next 6-18 months. But if I screw up the timing, or it drops to 1/3 the value instead of 1/2 etc, I lose money or break even. While I'm reasonably confident the normal short will pay off, since I don't have to nail the amount or timing.
by lysace | 2025-11-04 18:31:51+00:00
Please expand?

He was and is very smart. This is not disputed. He was 23 at the time. Not exactly a child.

The worm was surprisingly elaborate containing three separate remote exploits.

It probably took a few weeks to build and test.

So sabotaging thousands of at the time very expensive network connected computers was a very deliberate action.

I posit that he likely did it to become famous and perhaps even successful, feeling safe with his dad’s position. And it worked. He did not end up in prison. He ended up cofounding Viaweb and YCombinator.

Unironically a great role model for YC. :/
by jane-street | 2025-11-04 18:32:24+00:00
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We're looking for folks in New York, London, Hong Kong, and Singapore for a variety of roles including, but not limited to:

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by razingeden | 2025-11-04 18:32:38+00:00
it works out to +/- an accident every 60,000 in a tesla robotaxi with a human operator.

i would calculate it that way to compare it to the last stat i had on waymo which was +/- an accident every 98,000 in an unattended vehicle.

comparing that to a human driver using stats from [0] the “AAA Foundation for Traffic Safety”

page down for maintenance, but summarized at [1]:

ages 16-17: crash every 69,000mi

ages 18-19: crash every 136,986mi

ages 20-29: crash every 182,149mi

ages 30-79: crash < every 303,030mi

ages 80: crash every 231,481mi

[0]: https://aaafoundation.org/rates-motor-vehicle-crashes-injuri...

[1]: https://www.friedmansimon.com/faqs/how-common-are-car-accide...

with that said: unattended vehicles are required to report every single incident no matter how minor or who is at fault. adults might just shrug off a minor contact and get on with their day without reporting or claiming it.
by LeoWattenberg | 2025-11-04 18:32:54+00:00
After its inception, Tenacity unfortunately tackled an irrelevant, yet opinionated part of development first: The build system, together with any internal variables saying "audacity" getting replaced with "tenacity". As such, a lot of the work that's gone into it don't manifest to users, and merging any upstream changes takes needlessly long. As a result of this, Tenacity fell behind upstream a lot, being stuck somewhere around Audacity 3.1 while Audacity already was around 3.7. Last month, mercifully, Tenacity got rebased onto Audacity 3.7: https://codeberg.org/tenacityteam/tenacity/pulls/527 (a +261299 -395037 diff!)

As far as user-facing changes go, it's some new themes, a different compressor, keeping features visible which upstream has hidden by default, MKA support without FFmpeg, as well as support for some more niche systems (Haiku, BSD). All of this is in some stages of ongoing; Tenacity 1.4 alpha 1 got released a few weeks ago, and while that does include the rebase, it hasn't ported back all of the changes which were made before the rebase.

Noteworthy: Most of the development is being contributed by one person, Avery King.

As of right now, I'd recommend Audacity 3.7.x over Tenacity, as Audacity 3.x has been in maintenance mode pretty much since 3.6, while Tenacity is currently finding its footing again. Disabling update checking is easy enough anyway.

In the future though, it appears that Tenacity is going to keep alive legacy Audacity for legacy systems while Audacity 4 is on the way of adding more DAW features and dropping support for older systems. Definitely a worthwhile role to inherit.

(disclaimer: I was a designer for Audacity)
by mattlutze | 2025-11-04 18:33:04+00:00
0.5% of the starlink node network deorbits each month currently, though potentially more.

They're already having a negative, contaminating effect on our upper atmosphere

Sending up bigger ones, and more (today there's some 8,800, but they target 30k), sounds ill-advised.

1: https://www.fastcompany.com/91419515/starlink-satellites-are... 2: https://www.science.org/content/article/burned-satellites-ar...
by housel | 2025-11-04 18:33:04+00:00
I was a student part-time administrator/systems programmer at the Purdue Engineering Computer Network at the time. Our OS installs had enough local mods (and we had enough non-VAX, non-Sun architectures) that we were immune to some of the worm's modalities, but the sendmail debug mode exploit at least still caused a lot of consternation.
by ugur2nd | 2025-11-04 18:33:15+00:00
We didn't file a counterclaim. Because my lawyer said it wasn't necessary. Because even if we won the counterclaim, we would have earned very little money.

Since the other side may be doing this commercially, they may be thinking in terms of mass production. In other words, they file lawsuits and earn as much as they can. If they can't win, they keep filing lawsuits against others. They don't bother.

They might not be making it a matter of pride; they might just be thinking about making money.
by killerstorm | 2025-11-04 18:33:16+00:00
Alright, if you got that conclusion from existence of dictionaries, what do you get from this fact:

Wittgenstein, who's considered one of most brilliant philosophers of XX century, in _Philosophical Investigations_ (widely regarded as the most important book of 20th-century philosophy) does not provide definitions, but instead goes through a series of examples, remarks, etc. In preface he notes that this structure is deliberate and he could not write it differently. The topic of the book includes philosophy of language ("the concepts of meaning, of understanding, of a proposition, of logic, the foundations of mathematics, states of consciousness,...").

His earlier book _Tractatus Logico-Philosophicus_ was very definition-heavy. And, obviously, Wittgenstein was well aware of things like dictionaries, and, well, all philosophical works up to that point. He's not the guy who's just slacking.

Another thing to note is that attempts to build AI using definitions of words failed, and not for a lack of trying. (E.g. Cyc project is running since 1980s: https://en.wikipedia.org/wiki/Cyc). OTOH LLMs which derive word meaning from usage rather than definition seems to work quite well.
by scoofy | 2025-11-04 18:33:51+00:00
Having gone to academia for multiple degrees in philosophy has caused me to hate the “everyone has an opinion” on MACHINE LEARNING and thinking.

Wittgenstein has a lot to say on people talking about stuff they know they don’t know.

The premise that what happens in the world’s most advanced Markov chain and in what happens in a human’s brain is similar is plausible, but currently unknowable.

Yet the anthropomorphizing is so damn ubiquitous that people are happy to make the same mistake in reasoning over and over.
by Tyrannosaur | 2025-11-04 18:33:58+00:00
Start with the simple. Don't be a bystander. "Next time I see somebody berating a retail worker, I will defend them"

Although it usually needs to start more introspectively: "Next time I am about to lose my temper, I will take a deep breath and consider if yelling is the best course of action or rather something less aggressive."

With children, there's something to be said about them learning to stand up for themselves; tattletales aren't something to admire. But at some point it is actually the correct course of action to interfere with children-raising, especially when it affects my children.
by thewebguyd | 2025-11-04 18:34:12+00:00
That, and a lot of false positives.

People that run an AD domain for their home lab, people that use apple configurator to create profiles for their own devices (can enable some settings/features that are otherwise gated behind using an MDM profile - like shared iPads), etc.

On the flip side, you are also missing all of the solopreneurs using your software for commercial use but obviously aren't spinning up a whole endpoint IT infrastructure to manage their own single device. Or contractors doing BYOD without MDM enrollment. Or small businesses/startups that are mostly BYOD, or don't do any kind of endpoint/device management...

So who are you going to catch, really?
by tpmoney | 2025-11-04 18:34:18+00:00
Not for food stamps, but here's the feds going after a pharmacy for gift cards and co-pay waivers from 2015: https://www.justice.gov/usao-ednc/pr/pharmacy-company-agreed...

Here's one for a pharmaceutical company, the details aren't quite clear but it sounds like they were funding co-pay assistance programs for their medications specifically but not others: https://www.justice.gov/usao-ma/pr/teva-pharmaceuticals-agre...

Here's a broader NPR article from 2008 covering the same idea: https://www.npr.org/sections/health-shots/2018/05/09/6091508...

Here's a 2024 article on the possibility of subsidizing outpatient housing for drug rehab being a violation of the statutes: https://www.startribune.com/many-minnesotans-in-addiction-tr...

Here's a attorney website noting that any exchange of cash for EBT benefits is a violation of the law: https://usda.attorney/snap-violation/ and a discount that is explicitly for EBT users is almost certainly a violation of that.

Realistically the fact that there is an entire process for getting a waiver for "incentives" for SNAP recipients (https://www.fns.usda.gov/form/snap-incentives), and that particular site has been up since before Trump took office and this one from 2023 for a government program that specifically says you must apply for a waiver: https://www.fns.usda.gov/snap/healthy-incentives suggests that this is another one of these cases in this administration where the brokenness of the system that has always been there is only finally coming to light for a lot of people.

Conservatives were not wrong when they said (paraphrasing) that a government powerful enough to give you everything is a government powerful enough to take away everything too. It's just in this weird timeline we find ourselves in, it's the "conservative" party that's being the monster they feared for decades.
by cluoma | 2025-11-04 18:34:44+00:00
That's been exactly my experience as well. Sometimes doing a little research on a lunch break gives enough direction on how to spend available time later on my project.

Accepting that progress will be slow has been the most difficult adjustment, and applies to more than just side-projects. Choosing books or games also becomes a more strategic decision when what used to be a weekend sprint, turns into a several week marathon.
by Retric | 2025-11-04 18:34:45+00:00
I’m not saying these tasks are high stakes so much as they inherently require high levels of accuracy. Programmers can improve code so the accuracy threshold for utility is way lower when someone is testing before deployment. That difference exists based on how you’re trying to use it independent of how critical the code actually is.

The degree to which LLMs successfully fake understanding depends heavily on how much accuracy you’re looking for. I’ve judged their output as gibberish on a task someone else felt it did quite well. If anything they make it clear how many people just operate on vague associations without any actual understanding of what’s going on.

In terms of map vs territory, LLMs get trained on a host of conflicting information but they don’t synthesize that into uncertainty. Ask one what the average distance between the earth and the moon and you’ll get a number because the form of the response in training data is always a number, look at several websites and you’ll see a bunch of different numbers literally thousands of miles apart which seems odd as we know the actual distance at any moment to well within an inch. Anyway, the inherent method of training is simply incapable of that kind of analysis.

The average lunar distance is approximately 385,000 km https://en.wikipedia.org/wiki/Lunar_distance The average distance between the Earth and the Moon is 384 400 km (238 855 miles). https://www.rmg.co.uk/stories/space-astronomy/how-far-away-moon The Moon is approximately 384,000 km (238,600 miles) away from Earth, on average. https://www.britannica.com/science/How-Far-Is-the-Moon-From-Earth The Moon is an average of 238,855 miles (384,400 km) away. https://spaceplace.nasa.gov/moon-distance/en/ The average distance to the Moon is 382,500 km https://nasaeclips.arc.nasa.gov/shared_assets/resources/distance-to-the-moon/438170main_GLDistancetotheMoon.pdf
by avandekleut | 2025-11-04 18:35:00+00:00
I remember spending hours and hours on pivot and forums like droidz.org which used to host animations, models, and forums. I even remember learning about "easing" and different "levels" of animation and collabs as showcased on darkdemon.org[1]

[1] https://www.youtube.com/watch?v=vkqDoAYKG4A