skysight-inc/HackerNews huggingface dataset:
Such as storing, uploading, downloading and serving transactions in a specific particular way called blockchain or distributed ledger. They have also explicitly forbidden storing blockchain data on their servers and having anything auxiliary related to it.

It is obviously a hostile language created by lawyers who did not spend much time researching the subject.

Of course it's unenforceable in practice and that is why a hefty chunk of Ethereum nodes are hosted on Hetzner for years and years with no problems.
Great tip! I will apply it to my setup
If you wanted to get caught then why not just stay at the crime scene or surrender a few days later?

But maybe he knew it was inevitable so he spent his last few days living life normally.
The worst bit about working in CG, or film-making in general, is finding it harder to enjoy films because you are hypersensitized to bad work.
Moreover, informing about the actual realities of export restrictions doesn't seem useless or condescending (I'm not commenting about the actual article here, which... seems hacking in technical savvy ... to be generous - but news about the topic in general).

Supply chains are complex, rife for corruption at many levels and giving some understanding how it happens seems a worthy news item for me, especially to understand the effectiveness of such sanctions, and as an educated citizen, either clamor for tighter supply-chain control, or be OK with the status quo, or ask for less control or for alternatives.
Diffie Hellman doesn’t ever send the key over the wire, that’s the point. There is nothing to decrypt in the packets that tells you the key both sides derived.

Unless they break ECDHE, it doesn’t matter if RSA gets popped.
He's probably a centrist neo liberal
He could be taking lots of medication for his back pain which could cause him to think not so rationally
> Nullification needs to be unanimous.

Nullification absolutely does not need to be unanimous, and it rarely is. All it takes is one juror force a mistrial (and another if it is retried, etc.) Sure, the prosecutor would likely retry, but again, it just takes one juror out of twelve to cause a mistrial, and the vast majority of prosecutors don't prosecute indefinitely.

> If you want a surefire way to get off a jury, mention nullification in voir dire.

No shit, so don't mention it.
I wonder how much of this is AI?
The last time the issue of "abrupt" startup shutdowns messing up people's lives was debated on HN, the was a contingent that insisted that the founders and leadership have a fiduciary duty to share holders to hold out for a miracle. If they release a firmware that unlocks the robots, they are immediately setting their startups worth to about $0, when they could be bought out at the last minute for a couple of millions. Or so the story goes, I think it's immoral. When your left with <1 mo of runway, the best thing for your employees and consumers would be an orderly exit. VCs may not like that though, so it tends not to happen.
True :D
Release the variations under the same SKU. It's not like you're manufacturing rocket engine parts. Have some fun with it! This whole thread of "it can't work because that isn't the way we've always done it" is comical to me.
It may seem that, but I invoke it bc it aligns with adversarial desires of hostile states (Iran, China, Russian). I assume some proportion of fake humans are part of any system sowing cultural discord, left or right.

The international consensus is that trump sows international discord with USA's allies. I agree. My analysis has nothing to do with right vs left or sides here
I've heared claims before that quantum computers are not real. But I didn't understand it. Can anybody explain the reasoning behind the criticism? Are they just simulated?
DMA. The gift that keeps on giving.

God bless the blitter.

Fat Agnus be fat.
In my admittedly meagre frontend experience, large startup times for dev instances are terrible for my efficiency.

The worst was a spring boot app at work which would synchronously download the entire key vault, 1 secret at a time.

I switched that out to load lazily, and the app started almost instantly!

My teammates were quite happy with the new state of affairs
What do you mean? How is that boomer speak?
Then they go on to try and compare to an composite output but they do this.
"Jazz Jackrabbit 2 through an interlaced composite video stream, grabbed with a cheap capture card."
That's not really how we experienced it though. Better to try and take a photograph of a CRT - although that's challenging.
I took this course when it was first offered and pivoted to being a saas founder. It was indeed exceptional.
Oh, are they selling these?
It’s often wrong anyway. Much like you, the thing that annoys me most about it though is all the power they must be using having it run on every single search by anyone.
The article says that you should not use AI if high accuracy is required. I would rephrase this to "Do not use AI if you need correct answers". Asking Gemini for the derivative of a rather simple function was quite eye-opening. It came out with a detailed step-by-step solution, explaining each step with great confidence. But the result was wrong. Pointing out the wrong result made Gemini apologize and provide another wrong solution. Then pointing out the exact step where the error occurred resulted in another apology, and in exactly the same wrong result as before.

With Wolfram Alpha you get a result that you can trust (or no result if it is outside the scope of Wolfram Alpha). With AI you get a result that you cannot trust, although it is presented with high confidence. This can be worse than useless.
Beautiful blog post!

I've built something similar and have yet to find a compelling use case for it. In my mind it seemed like such an obvious idea that I thought I'd start using it instead of Wikipedia. However, in practice I seldom care about the broader or more specific topics for the thing I'm looking into. It's strange though because I'm a compulsive rabbit holer but it just doesn't trigger the same urge to explore related nodes as Wikipedia does.

With that said, this UI is much slicker so maybe that is the missing piece.
Judges generally hate it but there's also nothing they can do about it if it happens.

That said its a very far leap to assume (either as the suspect or as a third party) that because this suspect has a lot of online sympathy that that will translate to a jury both willing and knowledgeable enough to nullify. Certainly wouldn't bet my life or freedom on that myself.

Personally I lean toward doubting that getting caught was part of some master plan. People have this binary view of things where he's either got to be a criminal mastermind who thought of everything or a complete fool, and the reality is probably that he's a better than average premeditated murderer (given all of what is stacked against him) who still got caught due to a combination of bad luck and being a little bit careless. Considering how extensive the current surveillance state is he got closer to getting away with it than the vast majority of people would have, but also combined that with some stupid but perfectly naturally human oversights.
Cumpiler69 doubting FactKnower69 knowing his facts. What is the world coming to.
Why is no one talking about the registrar actually accepting, without verification, the takedown request? It seems much worse than Funko filing the request.
I often use it for a type of work that is not listed there: boring work that I could do just as well, but would take much longer, and is easy to verify when done by the AI.

For example as a scientist this is the case for data visualization, I sometimes use ChatGPT to provide it with some tabular data and get nice Seaborn visualizations (including some iterations to adjust: "make the legend bigger", etc.).

Could I learn Seaborn? Sure, but I'd rather not spend time on that as it's not a particularly enriching activity. And even if I already knew it, writing and tweaking plotting code wouldn't be exactly fun.

And I'm not in danger of making mistakes due to the AI because the code in such libraries is quite self-explanatory. Memorizing the functions can take some effort, checking a program to see what it's doing is trivial.
Like everything related to politics it's about plausible deniability.

The founding fathers sold their ideas as freedom from the tyranny of the crown. While this was true, they probably didn't care as much for the freedom of the average Joe, but their own freedom and that of their rich friends. They just needed the freedom of the average Joe to get the masses on board without blatantly lying about their actual goals.

The rich people of crypto see themselves similarly, selling their ideas as freedom from the tyranny of traditional finance; and they have a point: There are millions of average people out there who suffer by the hand of financial institutions. However, the goal of the crypto "elite" is mainly the freedom of their own and their rich friends, they just need the freedom of the average Joe to get the masses on board.

Now, the only thing left to argue is if the rich people from back in the days had a better case against the crown as the rich people from today have against traditional finance.
Key Points of Today's PyTorch Deep Learning Session
Gradient Descent Algorithm
1. Core Formula and Concept
At its heart, gradient descent is all about being greedy. If the function you're working with is convex (think of it as a bowl shape), this greedy approach will always lead you to the best solution because in a convex function, the lowest point you find is the absolute lowest point. Just remember, if your learning rate α is too high, you might overshoot and never settle down at the bottom.

2. Practical Example
To really get a feel for how gradient descent works, you've got to try it out yourself. There's no better way to learn than by doing.

def compute(x):

return w * x

def cost(xs, ys):

sum = 0

for x, y in zip(xs, ys):

sum += (compute(x) - y) ** 2

return sum / len(xs)

def gradient(xs, ys):

grad = 0

for x, y in zip(xs, ys):

grad += 2 * x * (w * x - y)

return grad / len(xs)

w = 1.0

xs = [1.0, 2.0, 3.0]

ys = [2.0, 4.0, 6.0]

print('f(4) before training:' + str(compute(4)))

for i in range(1000):

tempCost = cost(xs, ys)

tempGradient = gradient(xs, ys)

w -= 0.01 * tempGradient

print('cost:' + str(tempCost) + '\t' + 'w:' + str(w))

print('f(4) after training:' + str(compute(4)))

Dealing with Training Hiccups

I had this issue where my model training kept failing. After a few tries, I started to wonder what was going wrong. Then it hit me: training models needs a solid, fast machine and some serious GPU power. Turns out, my own GPU just wasn't cutting it.

A colleague suggested I check out BurnCloud https://www.burncloud.com/840.html for renting a GPU. And let me tell you, their prices are super reasonable! An A100 GPU costs only $0.85 an hour. I gave it a shot, and wow, what a difference! On my second try with BurnCloud's GPU, the training went smoothly. The remote GPU made everything so much faster and more reliable. It really paid off to have that extra power behind me.

So, if you're hitting walls with your model training, consider giving cloud-based GPUs like BurnCloud https://www.burncloud.com/840.html a try. It can save you a lot of headaches and get you back on track to successful training sessions.

3. Stochastic Gradient Descent (SGD)
Unlike traditional gradient descent, which uses the mean of all inputs, SGD operates on single data points at a time. While calculating the gradients for \(x(i)\) and \(x(i+1)\) in standard gradient descent can be done in parallel due to the use of averages, in SGD, there is a sequential dependency between weights, making parallel computation impractical.

Compared to batch gradient descent, SGD can offer better performance in terms of escaping local minima and faster updates. However, it comes with a higher computational cost per iteration. Therefore, a common compromise is to use **Mini-batch Stochastic Gradient Descent**, where a small batch of samples is used instead of a single sample or the entire dataset. This approach balances the benefits of both methods, providing a more efficient and effective training process.
There's a lot of precise, technical language, including a specification - that seems very contentful and specific to me.

The code examples seem very straightforward and compelling to me.

> # Setup: Simple function on strings
> f = λa λb concat ["Hello ",a," ",b,"!"]
> f "Jane" "Doe"
Hello Jane Doe!

This requires some familiarity with languages like Lisp or Forth to follow, but otherwise it's very straightforward.

> # What else can we do with a function?
> g = f "Admiral"
> # Try to invert it:
> invert g "Hello Admiral
Alice!"
Alice

That's a really concise and impressive demo to me! I've never seen a language that can invert functions!
Developer wrote 25k lines of Neovim plugin code using phone and touchscreen
Not even halfway there with mine. Gonna make a reminder and look for this post in 2026!
I'm happy for you. You are so smart and capable, so I hope you won't have bad luck in the end.
> catch you completely off guard

And what's the problem with that? Wow. I didn't know the music business was so stodgy :-)
I am also very interested in this kind of work.
Oh, that's cool! I think these are the folks that made the Specializing Adaptive Interpreter which does type specialization at runtime. If these folks have any thoughts on ahead-of-time type inference and/or Codon, please let us know! :)
> it just takes one juror out of twelve to cause a mistrial

...this isn't nullification. A major point of nullification is a not-guilty verdict by a jury is final. No retrial. No appeal.

> the vast majority of prosecutors don't prosecute indefinitely

You think this case wouldn't be re-tried?
I did not like any Kubernetes UI so I built my own https://aptakube.com

It went from side project to my primary job in less than 6 months.

Everyone was saying that $99 was too much for “an API wrapper”, but here we are, 2 years later and with hundreds of small to enterprise companies using it :)
A different monoculture is not the solution to the problem of a monoculture. Replacing all of them with the resistant ones would reduce biodiversity (perhaps the resistant ones are susceptible to other diseases, perhaps the nonresistant ones will at some point be resistant to a new disease). See
https://en.m.wikipedia.org/wiki/Polyculture

The main problem with polyculture being that it assumes local farmers are smart and cunning individuals who find (perhaps unorthodox) solutions in constrained, complex and realistic environments because their livelihoods depend on it (or because they got an interesting idea and couldn't let it go), and who know more about their challenges than random hn commenters like me, instead of being mindless drones that can be replaced/interchanged at will by central overlords with complete control over the panopticon food factory.
It's amazing how great these canned apologies work at anthropomorphising LLMs. It wasn't really in haste, it simply failed because the nuance fell below noise in its training set data but you rectified it with your follow-up correction.
I managed to get it to work with images that were looking down on the character / thing, like in an isometric game. Using any image that was facing the front was giving flat results
They self discharge and become inert, unless
Someone plugs them in. They won’t likely just catch fire, but there will be (is) a lot of dangerous to use junk out there.
> I think we are OK as long as normal humans prefer to create real news rather than fake news, and create innovative art rather than cliched art.

So we're not OK.

I think I need to state my assumptions/beliefs here more explicitly.

First of all, "AI slop" is just the newest iteration on human-produced slop, which we're already drowning in. Not because people prefer to create slop, but because they're paid to do it, because most content is created by marketers and advertisers to sell you shit, and they don't want it to be better than strictly necessary for purpose.

It's the same with fake news, really. Fake news isn't new. Almost all news is fake news; what we call "fake news" is a particular flavor of bullshit that got popular as it got easier for random humans to publish stories competing with established media operations.

In both cases, AI is exacerbating the problem, but it did not create it - we were already drowning in slop.

Which leads me to related point:

> Anyway, "the AI slop will win" is based on a similar misconception, that total creative output will not increase.

It will. But don't forget Sturgeon's law - "ninety percent of everything is crap"[0]. Again, for the past couple decades, we've been drowning in "creative output". It's not a new problem, it's just increasingly noticeable in the past years, because the Web makes it very easy for everyone to create more "creative output" (most of which is, again, advertising), and it finally started overwhelming our ability to filter out the crap and curate the gems.

Adding AI to the mix means more output, which per Sturgeon's law, means disproportionately more crap. That's not AI's fault, that's ours; it's still the same problem we had before.

--

[0] - https://en.wikipedia.org/wiki/Sturgeon%27s_law
Causing a stink: reflections on my viral PhD
That doesn't debunk it at all - but some good points were made. Note that the artists of the day were also using CRT displays just higher resolutions. They certainly did test their work on the target. Some people obviously did more tweaking based on what they saw on the target machine and some less. This continues to this day.
I appreciate your answer. Thanks, and apologies accepted.
It wouldn't be the first time the police/three letters agencies lie about how they identified/located a suspect to not leak potentially illegal surveillance processes
The world has a _lot_ of guys with seven fingers who used to believe they would never be so careless.
I've just put one in blender, indeed the topology is all over the place, but only triangles at least. Seems really hard to edit it in a 3D program after the fact because the vertices are placed seemingly at random
More precisely, the distinction would seem to be that programs in the tree calculus can analyze themselves with reference only to the reduction rules of the calculus, not needing to reach for some meta-language or theory outside the calculus that works on source code or some AST representation of the program [0]:

Reflective programs are programs that can act on themselves to query their own struc-
ture. The querying is important: that the identity function can be applied to itself does
not make it reflective. A simple example is the size function defined in Chapter 5.
When applied to itself, the result is (the tree of) the number 508 [...] Self-evaluation
in a calculus provides good evidence for the ability to perform program analysis and
optimisation within the calculus itself. Traditionally, self-interpreters were allowed to
act on the syntax tree of a program, i.e. its quotation. [...] When quotation lies
outside of the formal calculus then interpretation is separated from computation proper,
so that some sort of staging is required.

A demo of a size function is given here [1], implemented directly in the tree calculus:

size = \x (y $ \self \x compose succ $ triage id self (\x \y compose (self x) (self y)) x) x 0

[0] https://github.com/barry-jay-personal/tree-calculus/blob/mas...

[1] https://treecalcul.us/live/?example=demo-program-optimizatio...
Same for AVX instrinsics. Very fun to use (for some of us), powerful when correctly used, but so hard to actually get right and to get the expected performance. I wish Intel had put more into ISPC back then.
Generally speaking, PS/2s did not have a PCI bus either, although some of them did have an ISA bus.

(Both ISA and PS/2 microchannel would allow busmastering of exactly what your article describes, though, so the point might as well stand - for that matter, so would other buses like EISA and VESA local bus.)
I wonder how much a search on Stackoverflow would have improved the algorithm. To me, AI for coding is like Stackoverflow with a much faster feedback loop, but without the community comments that often give very useful context.
Well, "hoax" may indeed not be the best word, because it implies intent. I've known of another highly intelligent software developer that invented similar symbology, but was suffering from a mental disorder which made him believe his work was useful even though it's only uses were 'self-referential'. Highly intelligent people, including software developers, are not immune from such disorders.
Five ways to make your daily walks even more beneficial
It's funny how they think internet archive is the only place where "linux ISOs" are stored which tells me how out of touch these lawsuits are. There are thousands of private trackers, usenet indexers, etc whose sole purpose is to provide an insane and gobsmacking collection of "linux ISOs"
Cheaper still, when the manufacturers Aliexpress store has a sale. I've seen them as low as $105 USD.
Educated people tend to overestimate their abilities outside their domain. We've all known someone with an "I can do anything" complex. Anyone can do anything... poorly. He likely deluded himself into believing he already outsmarted the cops so why even bother. Having two degrees doesn't make one a competent plumber, electrician, or in this case, criminal.
Side note that vector displays have yet to be emulated adequately but my mind could be changed by a high quality HDR OLED maybe...
Some do, since intel is pricing them extremely aggressively, they are good value in the straight performance/price area. Compatibility is indeed one of the main issues, but it apparently went from pretty terrible to fairly acceptable (but still worse than the big two) in the last generation of their card.
odd, I find the feedback loop is slower than just searching, given how slow AI is. But then again I never manage to get prompt correct in the first couple attempts.
What are the sites called? Would like to get them saved to archive.org :)
This was a problem with pi4, is it seriously still an issue with pi5?
But not "he will leave the building at this 30 second interval. As needed for a walk up on a busy city street that is well policed.
In my company they are embeddeding I think Go on Yaml. Yaml engineers are real.
I read up about it after watching Deadwood. The most surprising I found is that they still exist in some form: https://en.wikipedia.org/wiki/Pinkerton_(detective_agency).