skysight-inc/HackerNews huggingface dataset:
I love the way he's thinking about this. I think the subscription estimates are a little optimistic and the payroll is too high but overall it makes sense.
There's an element of using these systems that people don't usually discuss. One of the forks, Sunnypilot, enables a mode where you control the pedals but don't have to do the steering. What I've found is you do pay attention in this mode, and since you're controlling the brakes you can easily avoid most issues that you would get with self driving. But, not having to have your hands on the steering wheel makes the experience a lot more pleasant. Also, with traditional lane keeping systems, the so-called "longitudinal" control (accelerator and brakes) is where in my experience the system makes the most mistakes.

I think this mode is something car manufacturers should enable in general. I actually suspect it's significantly safer than completely hands- and feet-free driving modes, and you get most of the benefit of lane-keeping assist.
AI: Never have so many, paid so much, for so little.
This might be answered elsewhere but how does LVN in its current state handle server disconnects (and for prolonged periods of time, in say no coverage zones)?
Very large-process DRAM with frequent refreshing, in ceramic cases. It might last long enough without flips
Maybe but probably not by this point. If Starmer were engaged and keen to fix these problems, he would have clearly articulated the problems outlined on the website, stated a plan to solve them and now be doing things to advance it.

What he's actually done is the opposite. For example, the website makes the point that British governments often don't do enough capital investment so state-controlled infrastructure rots away. Instead spending rises get used to buy off unions. Sure enough, within just months of Labour coming into power it's already handed out around £10 billion/yr worth of pay rises:

https://inews.co.uk/news/public-sector-pay-deals-cost-323074...

This type of behavior led to pay spirals in the 60s and 70s.

We see this problem elsewhere. Labour's plan to build new prisons is simply to override local councils that are blocking planning applications, but that won't yield funds for actually building them. Where's the capital going to come from in a government that capitulates immediately to union pay demands, and which is already financially over-stretched? To do this they would need to make major cutbacks in other areas, but they have no plans to do this.
nice, everyone needs a reminder of this once in a while.
If I were to personally install this and use it anyways, my biggest worry would be the additional punishment if I cause an accident. Not sure exactly what the punishment is for driving a vehicle you know isn't road worthy, but I bet it aint pretty.
I'd kind of like to see some sample LLM entries in the list (as in, at the bottom of the list). Not because they'd ever be competitive, but because it would underscore how they burn massive amounts of space for the model with little concern for how much of it is "necessary" for predicting text.

(I'm not sure how you would optimally use an LLM for a lossless compression task. I guess you could convert the input to a stream of single-bit "yes, it guessed right" tokens and multi-bit "no, the actual token is X" tokens, and then compress that stream with a more traditional entropy encoder? That way the LLM decompressor would always be working off a valid prefix. But there are probably more clever ways.)
I'm pro kubernetes, but AWS does push you to upgrade your cluster fairly often (annually?) which could break things. It would be cool if kubernetes had LTS releases.
Same. My current job resulted from: seeing a hiring manager post about the role, applying at the link she shared in her post, and spending 2 hours crafting a DM to her. Interviewed and got the job, and knew nobody at the company.
Is the source not available to build a preview today?
Archaeologists Discover Ancient Roman Military Camp 7k Feet High
Humans self-correct (they can push the delete button)
For the "Too many files for a common directory" section, the xargs utility exists to address this problem.

Modern (GNU) versions of xargs will also give you the ability to run operations in parallel: https://www.linuxjournal.com/content/parallel-shells-xargs-u...

For the file removal problem, using a file system that supports (read-only) snapshots removes much of the pain. This can be done with zfs, btrfs, and the LVM subsystem can also do it with less advanced filesystems.

I have never used the LVM snapshot features.

https://docs.redhat.com/en/documentation/red_hat_enterprise_...
Pepín is an excellent chef to learn from. Because most of his recipes focus on technique and simplicity rather than recipe and seasoning. One of the biggest mistakes that I think people make is just not cooking things to the correct doneness at the right temperatures and times. Often people think that a fancy mix of spices and seasonings is what is important. I grew up not liking chicken or pork or steak unless it was in something because I had never had perfectly cooked chicken, pork chops, or steaks it was always cooked to well done and so dry you needed steak sauce. My parents grew up in an era where everyone feared undercooked meat. especially pork. And it's such a shame because I grew up on a cattle ranch. We would butcher a cow for ourselves every year. Grass fed, but lean, and butcher to thin steaks because you can cook them to saw dust a lot quicker that way. Now, I get beef from the ranch after fattening and have it butchered to steaks at least an inch thick and I always cook with a thermometer and usually just salt. A well done vs medium rare steak is such a night and day difference. Same with pork and chicken, although I prefer them both a little closer to medium.
Building OpenAI O1 [video]
None of that matters if it doesn't show up first or second in Google results.
That's basically the concept of Turing Completeness. Any Turing complete system can run anything. It may be very slow, but it will run. ChatGPT could run on a 4004, all you need is time.
Plot twist: How giving old graveyards new life as parks can improve our cities
It depends what kind of shooting you are doing. I depend on autofocus for a lot of the work I do (sports) but I have more fun shooting with my manual 7Artisans lens with the aperture ring than I do with a Zeiss 55mm/1.4. The 7Artisans lens has weaknesses that show up when you try astrophotography with it (definitely some light goes the wrong way and bright stars turn into weird shapes) but it also takes great shots like

https://mastodon.social/@UP8/111077882869934997

(freakin’ at night!) I bought this ring flash

https://godox.com/product-d/MF-R76.html

which requires manual metering to save more than $100 off one which has TTL metering as I am using it for studio work where I am going to set it up once and take 20 shots.
We have established procedures for such situations…

Buried somewhere on the Scandinavian Airlines internal Sharepoint site is a MS Word document written by someone who thought it would never again see the light of day.
The per token error of the non-AR model wrapped with MPC is no higher than the per token error of the non-AR model without MPC. Likelihood of the entire sequence being off the true data manifold is just one minus the product of the per token errors, whether or not you're running with the MPC loop. Ie, wrapping the non-AR model in an MPC loop and thereby converting it to an AR model (with a built-in planning mechanism) doesn't increase its probability of going off track.

Per token error compounding over sequence length happens whether or not the model's autoregressive. The way in which per token errors correlate across a sequence might be more favorable wrt probability of producing bad sequences if you incorporate some explicit planning mechanism -- like the non-AR model wrapped in an MPC loop, but that's a more subtle argument than LeCun makes.
Simplistic, since it assumes probabilities are uncorrelated, when they clearly aren't. Also, there are many ways of writing the correct solution to a problem (you do not need to replicated an exact sequence of tokens).
I think leaving just an overview in the repository is fine considering they've released a paper describing it in detail (https://arxiv.org/pdf/2409.05591, linked in the README).
UK Debt Hits 100% of GDP, Highest Level Since 1960s
ThunderScope – open hardware PC oscilloscope
> But it’s unlikely for you to actually need endurance because you’re not getting signal that far through a cave without repeaters or a long cable.

I mean you could let it roam on it's own and report back no? But even if you had to be in the same area as it, it then lets you go for even longer. Like some people sleep in these caves and bag in/out a bunch of supplies so needing to carry less batteries would be nice I assume.

> A bigger deal is being able to go underwater or fit through tiny openings.

That's in the abstract as well: "Our design strengthens the robot while granting the ability to access narrow spaces by folding the structure - up to a volume expansion ratio of 19.8."
That's crazy, months ago I compared whisper v2 transcripts with YouTube transcripts generated on my video and found them to be identical, down to the timestamps.

I know people who upload a video on YouTube unlisted just to get transcripts generation for free and then delete the video.
> I'm not sure how you would optimally use an LLM for a lossless compression task.

You have the model output probabilities for each token, and then use arithmetic encoding using that model. (This uses optimally few bits per token, under the assumption that your model is right.) This is how all the winning models work, AFAIK, except they frequently work per-bit instead of per-token.
The largest speedup I have seen was for a quantum mechanics simulation where I needed to repeatedly calculate all eigenvalues of Hermitian matrices (but not necessarily their eigenvectors).

This was basically the code needed:

import scipy.linalg as la

if cuda:
import cupy as cp
import cupy.linalg as cla

ε = cp.asnumpy(cla.eigvalsh(cp.asarray(H)))
else:
ε = la.eigvalsh(H)

I was using IntelPython which already has fast (parallelized) methods for this using MKL, but CuPy blew it out of the water.
> Intelligence is just as much about knowing what to throw away as what to keep.

Sure, but you can see it as two steps. Decide what doesn't matter at all, and throw it away. Then compress the rest losslessly (according to how surprising it is, basically the only way)

I think a theory of mind based on data compression is backwards, for this reason. When you have "data", you've already decided what's important. Every time you combine "A" and "B" into a set, you have already decided

1. That they are similar in some way you care about

2. That they're distinct in some way you care about (otherwise, it would be the same element!)

... and you do this every time you even add two numbers, or do anything remotely more interesting with "data". There is no "data" without making a-scientific statements about what's important, what's interesting, what's meaningful, what matters etc.
I am merely talking about criteria you would want to use in excluding people from planes. I doubt looking for stereotypical islamic militants would actually be that effective
Cards Against Humanity sues SpaceX, alleges "invasion" of land
Windows is practically login-walled[0] at this point so I imagine people are slowly getting to expect it.

[0] witness the magic incantations needed https://www.tomshardware.com/how-to/install-windows-11-witho...
> Plutonium from a pressurised water reactor is too impure for military use. It is polluted with actinides, which are neutron poisons. It is the techniques for separating plutonium and actinides that are problematic.

That's just what I was able to find as part of the reasoning behind the anti-reprocessing stance the US started back then and continues to follow today. Even a dirty source of plutonium would be a risk for diversion into a more secretive refining program.
Right, but you've got to do what's within your control, unless you're planning a Senate campaign and plan to resist significant and lucrative lobbying operations against you.
> on a street corner with a Casio keyboard

Muscling in on Wesley Willis' territory!
The future of consumer robotics will not be built on "a crappy ARM machine with no real parallel compute". Traditional robotics has failed to produce machines that can operate in the real world outside of strictly controlled environments, and more of the same isn't going to change that. Fast hardware for running DNNs will be a hard requirement for useful general purpose robots.
The XL probably relates to the fact that the relative savings increase with higher res pictures. Whereas original jpeg's file size might have scaled linearly, jxl could do better than that.
The only meal i can remember sending back was a steak I ordered rare and got medium well. It was $45 and the only thing on my plate besides some asparagus.

People make excuses about restaurants being afraid to cook meat rare. Don’t let me order it then!

Now I’ll only order steak at a steakhouse.
A few derivative projects are faster than 1x, insanely-fast-whisper being the fastest I've tried.

whisper v3 large on release day was around 1x on a 4090
Not sure. The Settings app has this big red dot when there's an update and there's not much I can do to get rid of it other than updating.
Yay that ends the Google Photos integration in my Android App. Thanks! :(
Not if part of your definition of "best" includes codebook/model size. The best text generator will use a massive model. That won't help compression beyond a certain point, since the cost of lookup indexes grows with the size of the model. "Monkey #384714...872 typewriter output" doesn't help when the monkey number is longer than the input.
Interactive map of submarine internet cables around the world
US indicts two over socially engineered $230M+ crypto heist
FTC Sues Prescription Drug Middlemen for Inflating Insulin Drug Price
We have the same strategy as LiveView. We attempt to reconnect when network is lost. There are methods for restoring your state as well that work in LiveView and LiveView Native
Something that isn't discussed enough is that nuclear power is extremely safe. According to Our World In Data (https://ourworldindata.org/safest-sources-of-energy), it produces the fewest emissions per gigawatt -- solar and wind both have substantial overhead -- and the second-fewest deaths, after solar, of coal, oil, natural gas, biomass, hydropower, wind, solar, and coal. The misguided perception nuclear is more dangerous is due to its unfortunate habit of clumping deaths. People remember Chernobyl, but not Bill, who died mining coal, even if there are a thousand Bills all over, their total deaths dwarfing Chernobyl's.

The climate activists should really be advocating for nuclear. It's cheap, has the lowest emissions, and is really safe. But, of course, people will object. It's hard for PR to say that, even if you can show the data. People rarely change their mind because of data.
Reading through the post they seem to have been hyper focused on compression ratios and reducing the payload size/network bandwidth as much as possible, but I don't see a single mention of CPU time or evidence of any actual measureable improvement for the end user. I have been involved with a few such efforts at my own company, and the conclusion always was that the added compression/decompression overhead on both sides resulted in worse performance. Especially considering we are talking about packets at the scale of bytes or a few kilobytes at most.
> Is the spatial memory a fixed size (how big?) or does it grow over time?

Fixed number of parameters

> And is there a point at which is is saturated and future results decline?

The model is statistical, so precision will steady improve, asymptotically approaching a maximum
Can most Israelis remember true peacetime? The Israelis have chosen to maintain a continuous military occupation of the West Bank and Gaza for almost six decades, rather than integrating them or letting them be independent, which locks the region in permanent conflict of varying levels of intensity.
Your issue applies equally to GPT-3 (and afaik its successors): the log likelihood loss which the GPT base model was trained on is exactly the "lossless compression" length of the training set (up to trivial arithmetic-coding overhead).

The question I'd raise is why the route that got traction used more ad-hoc regularization schemes instead of the (decompressor + compressed) length from this contest and the book I linked.
Huh.

I guess generally you have to be somewhat careful about spreading animals from one location to another. Never know what invasive species or diseases you might spread.

But… I saw in the documentary “Fivel goes west” that we’ve already spread mice everywhere. And they aren’t all that dangerous, right? Probably would have just gone for it…
More protein than they usually give you...

For real though, we'd all be surprised by the amount of gross stuff going on throughout the ag & food system.

At least when I buy fresh brussel sprouts, I can see the holes/larvae in the bad ones.
Oh duh, that makes a lot more sense. Thanks!
Arc browser: incident response writeup to CVE-2024-45489 (cross-user JS RCE)
i will NOT

https://htmx.org/essays/how-did-rest-come-to-mean-the-opposi...
How to Remove ClassLink?
Is there a bypass to the extension of ClassLink? it is very annoying, and I can't remove it. One of the most annoying things on my laptop.
And when they report bugs to the vendor, and Apple just black holes those bugs, as they do in probably 99.8%+ of bug reports?

"Suck it up"?
Better link for this.
https://group.ntt/en/newsrelease/2024/07/22/240722b.html
Didn’t we find bin Laden by catastrophically undermining vaccination programs in Pakistan?
You could already use apng and the file size isn't too bad.
Embedding is a transformation which allows us to find semantically relevant chunks from a catalogue given a query. Through some nearness criteria, you would retrieve "semantically relevant" chunks which along with query would be fed to LLMs and ask them to synthesize the best answer. Vespa docs are very great if you are thinking of building in this space. Retrieval part is independent of synthesis, hence it has its separate leaderboard on huggingface.

https://docs.vespa.ai/en/embedding.html

https://huggingface.co/spaces/mteb/leaderboard
> Someone, a rather large amount of "someones", must be making bank from the AI generated content

Not true; they merely hope to make money. And anyway, if you can spend $10 to make $11 that's still 10% profit, right? Even if the reason you're making $11 is clicks/views from children and mentally deficient people.
If a piece of software that has the capacity to kill people is provided without any kind of assurances or warranty with the sole responsibility placed solely on the user, then that already tells me all I need to know, no bet needed to settle it.

Would you buy an angle grinder that's specifically been designed to not have a guard so it can be more useful, made by random contributors on the internet without any official certification? I'll stick with the ones that needed to pass the CE mark and you can sue the company responsible if it chops your arm off thank you very much. They at least have a required level of anxiety needed to patch anything serious knowing the level of responsibility they carry and what's coming if they mess up.
It is somewhat alarming that almost no developed economy seems to be capable of having a balanced budget. Maybe it is an aftereffect of aging and bad birth rates - slow erosion of the taxpayer base.

Given that debt cannot grow to infinity, something will give way one day.
We are clearly misunderstanding each other here, never mind.
Interesting way to approach this (dictionary based compression over JSON and Erlang ETF) vs. moving to a schema-based system like Cap'n Proto or Protobufs where the repeated keys and enumeration values would be encoded in the schema explicitly.

Also would be interested in benchmarks between Zstandard vs. LZ4 for this use case - for a very different use case (streaming overlay/HUD data for drones), I ended up using LZ4 with dictionaries produced by the Zstd dictionary tool. LZ4 produced similar compression at substantially higher speed, at least on the old ARM-with-NEON processor I was targeting.

I guess it's not totally wild but it's a bit surprising that common bootstrapping responses (READY) were 2+MB, as well.
Well yeah. Starlark and sandboxing are the best things about Bazel, but it could still definitely be improved. So I'm still curious about other build systems.

I think making a new build system without sandboxing (or at least a plan for it) would be pretty stupid.

Fortunately he is planning it.
Related:

Triangulation — https://en.wikipedia.org/wiki/Triangulation_(psychology)
Is it unfair though?

While there’s definitely optimization for search, it doesn’t appear to be purely about that. A lot of the content, particularly on Forbes Advisor and Forbes Health, seems user-driven and genuinely helpful. If you spend some time exploring those areas, you’ll notice well-researched, in-depth guides aimed at offering practical advice.

Just some quick research and Google searching:

https://www.forbes.com/advisor/banking/savings/financial-eme....

https://www.forbes.com/health/nutrition/diet/healthy-life-ex....

https://www.forbes.com/advisor/banking/digital-wallets-payme...
From the article:

> Airlines usually have strict restrictions involving rodents on board planes in order to prevent electrical wiring being chewed through.
Well, most "GIFs" already really aren't that. Most image hosters already convert to and serve a silent looping h264 in it's place.
Update us please!!
Show HN: My Stupid Calculator Hack
It was the year 2000. A more innocent time.

I was in highschool math with my best friend Brooks and a supply teacher had just walked in with a case of Texas Instruments' finest.

Perfect. I didn't feel like working anyway.

We could hardly contain ourselves. Every calculator she handed us magically died within minutes and there was nothing we could do, honest.

Even our classmates must not have been aware or one of the 40 of the other fish packed into that can would surely have rat us out to the fuzz.

The trick? Simply turn the brightness down to 0.

It was some kind of UI bug that actually let you set the brightness to the point that nothing registered on the screen.

Turning it on and turning it off didn't work.

You had to know that the batteries were not dead and that the brightness was down before unscrewing the back to change the batteries, probably resetting the brightness memory in the process anyways

I wonder if they ever fixed that?
Israel is defending itself against Hezbollah. Hezbollah started the current Israel-Hezbollah conflict on Oct 8, the day after the Hamas-led attack. They can end it at any time by merely stopping their bombardment of Israel, but they have indicated that they don't plan to stop until there's an end to the Gaza conflict, which they are not a party to. Of course self-defense sometimes involves preemptive strikes, like Ukraine striking Russian airfields.

We'll have to see how effective future demining efforts are, but historically, civilian casualties from unexploded mines have been quite significant. Despite the risks, Ukraine can't realistically stop inhabiting 20-30% of its territory indefinitely.

Where do you get 1:2 from? There isn't much credible information yet about civilian vs militant deaths. What we do know is that the 5,000 affected pagers were ordered by Hezbollah and issued to its members. Less is known about other devices.