skysight-inc/HackerNews huggingface dataset:
Even the regular lossless RAW setting can sometimes be "not quite RAW" when the camera dynamically lowers the bitrate it captures at. My camera does anywhere between 12 bits and 14 bits RAW depending on the shooting settings. Many newer cameras have baked-in NR that cannot be disabled (e.g. Canon R5), even on the lossless RAW setting
I know, but it’s all an ecosystem. I can refuse VC investment but if one of my competitors doesn’t then they have an order of magnitude more resources than me and they’ll edge me out of the market. So everyone ends up going down that road whether they want to or not.
Where there is a will there is a way. No amount of audit has an acceptable error tolerance for critical infrastructure here.
C.S. Peirce, who is known for characterizing abductive reasoning and had a considerable on John Sowa’s old school AI work, had an interesting take on this. I can’t fully do it justice, but essentially he held that both matter and mind are real, but aren’t dual. Rather, there is a smooth and continuous transition between the two.

However, whatever the nature of mind and matter really is, we have convincing evidence of human beings creating meaning in symbols by a process Peirce called semiosis. We lack a properly formally described semiotic, although much interesting mathematical applied philosophy has been done in the space (and frankly a ton of bullshit in the academy calls itself semiotic too). Until we can do that, we will probably have great difficulty producing an automaton that can perform semiosis. So, for now, there certainly remains a qualitative difference between the capabilities of humans and LLMs.
Americans Are Falling Behind on Their Bills. Wall Street Is Alarmed
Or firms could trade hires ("if you hire this person, I'll refer a client to you"). Or they could "persuade" a client's legal dept to hire her ("We're looking for a new partner and we like your experience... On a totally unrelated note, I know a talented young woman who's looking for a job...")
There’s Turing Complete and Turing Tarpit.[1]

[1] Which one is the Rust macro system? I have no idea.
You are being downvoted but that was exactly my experience. It wasnt hyperbole. I was told my entire time in k-12 you need to get a college degree by everybody. Parents, teachers, counselors. Additionally they said, with no exaggeration, to get any degree, at any school, and take out as many loans as you need. So yes an entire generation of kids were told the $60,000 in debt for a latin dance degree at a no-name school was better than no degree at all.
I took out around $20k in loans to study literature starting in 2001. Graduated in 2005. Rent was $150 a month. Played a lot of poker and disc golf. Studied and learned a bit. Had a 75% scholarship to help with tuition. Had a $300/semester book stipend as part of that and just bought penny books off Amazon (one of the benefits of an English degree) and pocketed the difference.

Basically for 5-8% or so of my (estimated) lifetime I was completely free to goof around. Great value for someone who dislikes working.

Consolidated the loans after I graduated at 1.5% interest. Finished paying them off in 2021 with the Biden Bucks.

Pretty sure that kind of deal doesn’t exist anymore.
He received quite a bit of financial gain, latching on to and being funded by Calvin Ayre (of online gambling fame)
Also people get their first loan when they’ve just been legally considered adults. Nobody knows for sure they’ll be able to start paying these back in five years.

You buy a car so you can work and eat. These are very straightforward causes and effects. No car no job. Buy car that costs << than job. Done. Buy an education and you get more bills, not more income, for years. You might not even finish.
He did manage to bamboozle the billionaire Calvin Ayre, who financially backed up Craig. Seems like a pretty fruitful scam to be honest.
I read it as "when in Rome...".

Adopting any kind of quality assurance tool is implicitly buying into its "opinionated" worldview. Forfeiting one's autonomy for some person(s) notions of convention.

Rephrased: Using shellcheck is a signal to potential user's, per the Principal of Least Astonishment. No matter if either party doesn't particularly care for shellcheck; it's just a tool to get on the same page more quickly.
One aspect may change (file size) while another remains the same (the actual data you get when you read the file).
Unless I missed it in the article, I don't think the author mentioned one of the biggest factors. The big lenders in America are effectively extensions of the US government, and the government guarantees over 90% of loans.

That means there is no risk (for the lender) to give out student loans. The taxpayers take on the risk
Most public libraries have them. A large part of the patron base of the public library in 2024 are people who are marginalized and a lot of them come to the library because they lack other internet access. There's also the elderly, the disabled, etc.

The main problem is that libraries don't run the staff levels to make in-depth phone reference feasible, and a lot of public libraries don't have advanced level/academic knowledge available in their hardcopy print collections + don't have people on hand with that level of specialty knowledge to provide high level and in depth answers efficiently (if given a choice, hiring a children's librarian makes far more sense for a public library than a physics expert, but she probably can't answer high level physics questions).

Academic libraries have the subject expertise, but those librarians' time is too planned and valuable to spend on phone reference. Chat reference is usually shared across institutions with librarians in different locations to allow for sharing the work and deduplication of work - one subject area specialist can do chat reference for multiple institutions.

There are plenty of people around who can still do this, but they're usually paid to do other things instead.
> "The only non-poisoned cupcakes in NYC"?

The issue would more likely be from the implication about your competitors than the false claim in general.
Sophistication arbitrage. It's a common technique of the con man.
As we learned from Zappos, Swedes should therefore place more trust in those who don't take up the offer.

Why? Quoting https://www.zippia.com/employer/zappos-hiring-for-culture-an...

> About one week into their call center training, Zappos offers employees $3,000.00 to leave the company. I kid you not. $3,000.00 to leave – and this is around 4 weeks of pay for the employees.

> If candidates haven’t become Zappos insiders, committed to the values and culture, then the company really prefers that they leave. ...

> If you’re willing to take the company up on The Offer, you obviously don’t have the sense of commitment they are looking for. That’s why this tactic ensures that Zappos ends up with new hires who are committed, engaged employees who are a good culture fit.
Am I going to be the first to bring up "Darmok and Jalad at Tanagra"?
> Even reading the Nova classification, the scientific verbiage describing the ultra processed category could easily describe making egg noodles at home.

It can't because per Nova for something to be "ultra-processed" it has to be "industrially manufactured". Unless you're involved in cottage industry I guess.

"Ultra-processed" is a ridiculous categorization, a bit like some compounds artificially being labeled as "chemicals" and some not.
The "aging design" arguments holds water like a sieve.
Electricity and engines are 1800s vintage designs
The wheel is a prehistorical aging design
american government is an aging design

The quality of an idea is independent of the time of its conception.

The utility of an idea is dependent on the time and place where it may be used however.
Bit of a miserable article. The author seems to be a lefty professor who likes trade unions and doesn't really like entrepreneurs.

The essay and main HN on Founder Mode are good https://news.ycombinator.com/item?id=41415023
The amount of active safety sensors and monitors on newer/modern vehicles tend to make up for all that. My SUV is so loaded with cameras, sensors, and automated braking systems that it is significantly safer for anything that might be within the classic “blind spots” of larger vehicles than the smaller cars I have driven. My vehicle barks at me and will auto brake if I am anywhere near anything that I might hit. I’d venture to say that I would have to try and intentionally hit something to override the safety features it has.

I’m not a fan of the cyber truck, but the reviews I have seen show that vehicle is also loaded with these safety systems.
>We can say the same thing about K-12 education -- it's just something we choose to fund collectively, because that's the kind of society we want to be.

But in K-12 education, the taxpayer/state has strong control over what's taught. In the last few years there's some latitude by the students, but nothing close the panoply of programs offered by universities. If education is state funded, but only for programs with proven ROI (eg. STEM), I'd be fine with that.
> The idea of the public university is to bring a traditionally aristocratic practice - the devotion of several years of one’s young life to not-necessarily-practical intellectual pursuits - to the middle class

The entire idea that spending 4 years learning useless knowledge is somehow valuable is completely mistaken bullshit.

Aristocrats could get away with it because they were rich but there is 0 evidence this practice brought fundamental value to them or society other than serving as an expensive status signal.
The average person spends about 800 on a phone and about 700 on a computer most commonly a laptop.

The latest and best iphone is about $1200. To use it you are going to want an acceptable battery, a screen, a case, keyboard. I should think This will run at least $300–500. You have not for the same amount the average person paid acquired a good phone and a mediocre laptop.

You also have no redundancy if one device is stolen, lost, or broken.

For value minded folks stepping up to a phone nice enough to serve as a mediocre laptop is a non-starter not to mention they probably already have an acceptable version of one when they are shopping for the other.

For the folks more concerned about quality than value they are apt to be very disinterested in stepping down. There is basically no market for this. This is a nerd trap its one of the ideas that seems like it ought to be able to made sense of which has no practical application.
I'm trying to figure out if you missed a 0 at the end of your rent...
> ... that I have no bandwidth to do myself.

One of the most interesting aspects of this thread is how it brings us back to the fundamentals of attention in machine learning [1]. This is a key point: while humans have intelligence, our attention is inherently limited. This is why the concept behind Attention Is All You Need [2] is so relevant to what we're discussing.

My 2 cents: our human intelligence is the glue that binds everything together.

[1] https://en.wikipedia.org/wiki/Attention_(machine_learning)

[2] https://en.wikipedia.org/wiki/Attention_Is_All_You_Need
Say you major in comp sci (or some other high-paying field) but shortly after graduation something happens which prevents you from working in the field. Sucks to be you.

And if you’re a nurse or a police officer or a teacher or a lawyer and you lose your license under specious circumstances, it really sucks to be you.
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> I think AI answer is not correct, it may be some textbook interpretation but I was expecting Euclid's exact wording

It was written before English even existed. That said, the original never implied "exactly one", so I agree its a bad translation.
I’m gonna need the tldr on this one.

Article went from “I can’t make money in journalism so I guess I’ll……sell drugs” to the more interesting topic of how the industry has no identity thus all sorts of misinformation.

I lost interest when he became fixated on the wild search for Black Haze.
It's interesting that humans would also benefit from the "chain of thought" type reasoning. In fact, I would argue all students studying math will greatly increase their competence if they are required to recall all relevant definition and information before using it. We don't do this in practice (including teachers and mathematicians!) because recall is effortful, and we don't like to spent more effort than necessary to solve a problem. If recall fails, then we have to look up information which takes even more effort. This is why in practice, there is a tremendous incentive to just "wing it".

AI has no emotional barrier to wasted effort, which make them better reasoners than their innate ability would suggest.
Using what version of python? How will you distribute the expected version to target machines?

python has its place, but it's not without its own portability challenges and sneaky gotchas. I have many times written and tested a python script with (for example) 3.12 only to have a runtime error on a coworker's machine because they have an older python version that doesn't support a language feature that I used.

For small, portable scripts I try to stick to POSIX standards (shellcheck helps with this) instead of bash or python.

For bigger scripts, typically I'll reach for python or Typescript. However, that requires paying the cost of documenting and automating the setup, version detection, etc. and the cost to users for dealing with that extra setup and inevitable issues with it. Compiled languages are the next level, but obviously have their own challenges.
"The beam also bounces off objects, making it seam like the sound is coming from somewhere else. Strangely, the sound is actually louder when bouncing off a hard object like a wall then when listening to it directly. I’m guessing that the surface creates areas of higher ultrasound intensity, creating more sound then would be created otherwise."

Would this just be due to the fact that the reflecting surface isn't perfectly smooth so the reflections do not reflect back 180° and pretty much scatter up reflection?
Really like what the Podcast Index is doing, especially with pushing Podcasting 2.0 (https://podcasting2.org/) and value for value! Just wish I could do v4v in currencies other than Bitcoin.
In a previous version of the bill it was either that many flops or that much money. Now it's both.
Yes, but it also makes a huge difference whether we are asking the model to interpolate or extrapolate.

Generally speaking, models perform much better on the former task, and have big problems with the latter.
Instagram and FB eats a lot of memory on desktop too. Actually, a LOT of memory. Lots of times OOM kicks in, although on Linux only.
Sure there may competition among suppliers. When you artificially inflate demand, the price will still go up. One does not negate the other
To me the Seinfeld project was funny in the same way that Markov Chain generators often are: It was uncanny, absurd, and filled with non sequiturs. That's not to say there wasn't artistic merit in the project as a whole, but the model's contribution was only ever unintentionally funny and I never felt I was laughing with the model, but at it.
There's more success metrics to take away from a startup than just sticking around and creating a 3x or greater monetary return from an initial arbitrary valuation. If you were funded, you were getting paid something, if you were attempting something VCs funded, you were most likely trying something on the cutting edge in which case you are sure to have learned something novel in the space you will most likely to continue to work in.

Consider going to work for any other company, let's say a publicly traded one for simplicity - if you work there for 5 years, and the stock price stays flat adjusting for inflation, is whatever you did objectively non successful? Of course not, in this case you would judge your success based on what you shipped + your own career growth. I don't see why you should look at it any differently from a founder or early startup employee perspective in retrospect (though believing this before starting is probably not healthy as if you believe in the VC recipe you should really be abiding to success as a forcing function).

For 100% bootstrapping to avoid "pandering to VCs", your success metric is narrower (you have to achieve monetary success in a rigid, often short, timeframe) and your risk threshold is lower thus the successes on the learning side/pushing tech forward are less likely.
Good idea. I think kids in high school should also be shown some real stats about monetary outcomes from different degrees. Not BS marketing material from educational institutions, but actual statistics. The whole society would benefit if number of students in different fields would roughly match labor market demand.
"So we built a blind-guessing machine, but how can we tweak it so that its blind guesses always happen to be good?"
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In your 4 step process where do you blame the not for profit schools for raising tuition by completely absurd and unsustainable amounts?

If we are going to forgive student loans, tax payers should not be on the hook. The loan originators and most importantly the schools should pay since they are both the primary beneficiaries of this disastrous policy.
Animals like rabbits are prey animals. The reproduce prodigiously as a species-survival mechanism. Individual deaths are common and while a predator is going to alarm them for a while, they will quickly get back to their primary business of eating and fucking. Mourning doesn't serve much of a purpose.
> Technicians at the ports understood them to be for diagnostic purposes, the report said.

A storm in a teacup.
You had me at scryfall: https://docs.factorcode.org/content/vocab-scryfall.html
The fundamental problem in job education is that it needs to be linked to the needs of future employers, but those employers do not have an incentive to hire workers and train them, thereby aligning the education program with the needs of the employers. Employers do not want to pay for training, because employees can leave at any point, so they decided to let employees go to university and pay for their own education. This then leads to a misalignment between what people elect to receive an education in and what employers want, because people aren't mind readers and know exactly what will make their boss five years into the future happy. So what happens instead is that higher education becomes purely about standardising worker skills, so that each worker is a replaceable cog according to their degree. This means you can just hire X amount of Y degree holders instead of caring about their individual skills.
LLMs will always have some degree of inaccuracy.

FtFY.
Those questions aren't interesting. Anything someone decides to regard as art is art. Can it be good art? As a tool AI can be used by a good artist to make good art.

If one merely needed to press a button on a machine to make good art, then it seems such a machine would quickly obsolete itself. Heck, with generative images we're already there. People see an AI generated image and they go "Oh, it's just more of that AI stuff."

I think it's fair it's fair to claim that by definition, if AI can make it all by itself, then it's not good art, because if AI can make it all by itself, then it's already in the "been there, done that" pile. As a tool however, a good artist can use AI to make good art.
> Make an examination authority. "Here is the national linear algebra test. Anyone who wants to try it, sign up, and come to this hall on this date." Everyone who passes, whether they studied at home or went to fancy U, gets a paper that says they passed it. Do it as a 12 year old prodigy or a 75 year old grandma, you get a diploma.

> Now, maybe there is already an authority that does this, I don't know. But it isn't very well known or authoritative.

Western Governors University operates this way. You can get a full, recognized degree that way (in a limited set of topics).
I'm so excited in anticipation of my near-term return to studying math, as an independent curiosity hobby. It's going to be epically fun this time around with LLM's to lean on. Coincidentally like Terence Tao, I've also been asking complex analysis queries* of LLM's, things I was trying to understand better in my working through textbooks. Their ability to interpret open-ended math questions, and quickly find distant conceptual links that are helpful and relevant, astonishes me. Fields laureate Professor Tao (naturally) looks down on the current crop of mathematics LLM—"not completely incompetent graduate student..."—but at my current ability level that just means looking up.

*(I remember a specific impressive example from 6 months ago: I asked if certain definitions could be relaxed to allow complex analysis on a non-orientable manifold, like a Klein bottle, something I spent a lot of time puzzling over, and an LLM instantly figured out it would make the Cauchy-Riemann equations globally inconsistent. (In a sense the arbitrary sign convention in CR defines an orientation on a manifold: reversing manifold orientation is the same as swapping i with -i. I understand this now, solely because an LLM suggested looking at it). Of course, I'm sure this isn't original LLM thinking—the math's certainly written down somewhere in its training material, in some highly specific postgraduate textbook I have no knowledge of. That's not relevant to me. For me, it's absolutely impossible to answer this type of question, where I have very little idea where to start, without either an LLM or a PhD-level domain specialist. There is no other tool that can make this kind of semantic-level search accessible to me. I'm very carefully thinking how best to make use of such an, incredibly powerful but alien, tool...)
Euclid wrote in ancient Greek, so the "exact wording" in English does not exist.