skysight-inc/HackerNews huggingface dataset:
Then cite those "reports". Otherwise you are just contributing to the misinformation.
On the other hand, the behavior that is largely responsible for the difference may also make the technical challenge more difficult.
Show HN: Maps and Splats – Mashup of 3D tile maps with Gaussian Splats
Hello HN!

I’m excited to share this open-source community mashup showing the power and possibility of combining 3D Gaussian splat scans with traditional mesh-based 3D tiles maps in the browser.

As you've probably seen on HN a bunch lately, Gaussian splats are a new method to allow custom 3D scans of scenes and objects [1] and Google Maps 3D Tiles API are the same 3D buildings and street views your familiar with in Google Earth or Google Maps, and recently they’ve been made available for inclusion in web apps.

Combining splats + 3d map mixes highly detailed real-world custom micro-scans with the macro-level 3D imagery from satellite data. This is useful for civil engineering, transportation planning, real estate, construction, creative production, and so much more – we’re just scratching the surface.

Demo1 with manual orbit controls:

- Video: https://twitter.com/kfarr/status/1773934700878561396

- Live Demo: https://maps-and-splats.glitch.me/

- Source: https://glitch.com/edit/#!/maps-and-splats?path=index.html

- Instructions: zoom in / out using scrollwheel and rotate with click and drag

Demo2 with animated camera path timeline:

- Video: https://twitter.com/3dstreetapp/status/1775203540442697782

- Live Demo: https://look-at-splat-maps.glitch.me/

- Source: https://glitch.com/edit/#!/look-at-splat-maps

- Instructions for using timeline to make your own camera flight path: https://www.youtube.com/watch?v=QDWKina45f4

These demos combine: A-Frame / three.js, NYTimes three.js 3DTiles viewer component with Google 3D Tiles, 3DStreet Gaussian splat viewer component from Luma Labs scanned scenes, theatre.js animated camera path and timeline editor, Glitch hosting / IDE because they’re awesome for hacking projects like this

These demos are results of R&D from a larger project: https://3dstreet.org

Some of these API cost real money so I worked to get a temporary quota of 25,000 sessions. After that the 3dtiles won’t load, you’ll need to get your own API key from Google :)

[1] 2 min intro to 3D Gaussian splatting: https://www.youtube.com/watch?v=HVv_IQKlafQ
Maybe you can add more info to explain what stack you use, how you solved some problems, etc.
In its current state, with this ridiculous headline, this post is just an ad.
what constitutes a token is super unintuitive.

my gut said "pig" and "ment" on this one, which happens to be right, but my gut would also say "para" and "graph" but no, "paragraph" is a single token which falls way outside the "normal" length I see of 3-4 characters

In either case, I do consistently see spaces between characters included as part of the token following the space.

" paragraph" (10 characters) is the longest token I've seen- and now I wonder what the longest token is
>If there is a technological revolution like in the period quoted above, then prices may fall due to things like efficient production. But is that really deflationary?

No. Mises.org is Austrian economics, so I don't expect them to agree with anything Milton Friedman ever said, but his "Inflation is always and everywhere a monetary phenomenon" necessarily also applies to deflation. Prices decreasing due to technology is great. Prices decreasing due to a shrinking money supply is bad for lots of reasons, and when the U.S. went back to the gold standard after the Civil War and cut the money supply in half, the result was the Panic of 1873, when the word "bum" was invented to describe Civil War veterans begging in the streets.

I'm not saying the Austrians don't have any good ideas, but they are considered fringe for a reason.
> I would be surprised if they can find a way to rival Starlink as a consumer product

They already know they can't compete on merit alone, so they'll go for lobbying and regulatory intervention so they can "compete".
CSS Flags – Flags of the world in pure CSS
>You are a weighted random choice generator. About 80% of the time please say ‘left’ and about 20% of the time say ‘right’. Simply reply with left or right. Do not say anything else

I could have told you these results solely based on the methodology combined with this system prompt. No need to spend money on APIs. Randomness in LLMs does not come from the context, it comes from sampling over output tokens the LLM considers likely. Imagine you are in this situation as a human: Someone walks up to you and tells you to say "left" with 80% probability and "right" with 20% probability. You say "left" and then the other person walks away never to be seen again. How do you determine if your own "output" was correct? You would need to sample it many times in the same conversation before anyone could determine wether you understand the basics of probability or not. This is an issue of the author's understanding of Bayesian statistics and possibly a misunderstanding of how LLMs actually work.

Edit:

I just tried a minimally more sensible approach after getting an idea from the comments below. I asked GPT4 to generate a random number using this prompt:

>You are a random number generator. Reply with a number between 0 and 10. Only say the number, say nothing else.

It responed with 7. But then I looked at the top logprobs. Sure enough, they contained all the remaining numbers between 0 and 10. The only issue is that "7" got a logprob of -0.008539278, while the next most likely was "4" at -5.5371723, which is significantly lower. The remaining probs were then pretty close to each other. Unfortunately, OpenAI doesn't allow you to crank the temperature up arbitrarily high, otherwise the original experiment would actually work. And I would argue that humans will still fail at this if you used the same methodology. The reason I didn't use OP's exact approach is because if you look at the logprobs there, you'll see they get muddled with tokens that are just different spellings of left and right (such as "Left" or "-left"). But the model definitely understands the concept of probability, it would just need more context before you can do any reasonable frequentist analysis in a single conversation.

Edit 2:

I repeated it with random numbers between 0 and 100. Guess what numbers are coming out among the top logprobs. Pretty much exactly what you'd expect after watching this: https://www.youtube.com/watch?v=d6iQrh2TK98

I guess LLMs trained on human data think pretty similar to humans after all.
Predicting SSH Keys in Open SSH Memory Dumps
I presume you mean regular small to tiny fountains. Yes very frequent here, my small village has at least 5 of those. Unless there is an explicit sign that its not drinkable all have drinking water.

Good thing indeed, but then you go ie to France where you have sometimes such fountains too, and often reverse applies - don't drink unless its singed as drinkable.
They literally just did this...
I noticed one outside of my local Lowes a couple weeks ago. My city has deployed a number of them, including one less than a mile from my house.

It's one thing for a business to install security cameras to locally monitor their premises, but the low cost and scale this is being deployed at is terrifying.
It’s not that people don’t care, it’s that they’re helpless
Lots of good ideas, very thought-provoking when comparing with how mgmt at most companies operate.

Be aware however if trying to apply in real life that most managers will fight you since it seems counter-intuitive.
Do you only support laws if there exist no downsides no matter how small? Has there ever been any such law?

That said, if we don’t companies engaging in those kinds of practices, it seems more practical to ban those practices than to remove all rights to access entirely.
Only if they can shoot at you too if they reasonably believe you're a threat to their safety. Which it sounds like you'd be likely to be.
We'll be updating the sorting order and work on enhancing the overall UX. I appreciate the input!
Is it because humans are bad at probability that LLMs are bad at probability or is it something inherent in this kind of statistical inference technique? If you trained an LLM on trillions of random numbers will it become an effective random number generator?
> Meat was wrapped in paper. Milk, butter and sour cream were poured into whatever container

This type of arguments are still as annoying as the first time I've heard it. Reusable containers just don't satisfy modern day safety standards.

If they could get away without paying for packaging they will happily do so. They can't because chances of poisoning followed by lawsuits becomes real at scale, causes including not just accidental contamination but also terrorism.
ssh out of the box also does not use libsystemd, except on systems which were patched to do so.
But that's every time a human gets behind the wheel also.

It comes down to trust: do you trust a machine to get it right every time, or a human to get it right every time? I think people will answer differently based on their differing experiences with machines and people.

(... but to my money: when the machine malfunctions, we can crack open its black box, look at its analysis logs, find errors, and update every other clone of the machine to never make that mistake again. Can't do that with humans; for all the lessons we learn about road safety, we are trying inefficiently to imprint them on a new, naive crop of drivers every day).
That’s a huge difference $30k, I don’t think taxes in Amsterdam are that high. You really should be comparing the greater Jackson area also, I’m sure salaries in Clinton for a SWE is going to be higher, Jackson is limited to state jobs. My dad was pulling $100k in port Gibson as a systems engineer and that was a couple of decades ago.
Those stats have always seemed game. At the basic level "autopilot technology" is a wide grouping of various marketing wank Tesla invented. Is it or is it not FSD? Because for the longest time it was just driver assistance tech that everyone else has in different forms. Shit, my Civic can self drive just fine using radar cruise control (it even handles merging vehicles) and lane keep.

The US average passenger vehicle age is also 13 years. This puts _many_ existing vehicles on the road outside the range of modern driver assistance equipment which of course would affect this chart.
I'm the TypeSpec PM at Microsoft and I'd like to learn more about your use case and experience building a custom emitter. Are you willing to chat about it? If so, what's the best way for me to reach you?
What you said is compatible with what I said.
> Freedom to roam does not need to be freedom to enter people's garden. At least in Norway, the law requires you to stay a minimum distance from dwellings, and has a variety of requirements to ensure you're not a nuisance.

Sweden has similar restrictions.
I think you're not looking at this from the right perspective. A LLM is designed to sample text, that follows the training distribution. It is not designed to tell you the "most likely" text that follows, and we don't actually want that. This would mean you have no diversity in your outputs.

In your example, sampling a 0 in 40% of cases and a 1 in 60% of cases does make sense for chat applications.

For applications where we do care about the most likely sentence (e.g. question answering), then beam search helps, as others have mentioned.

Another thing to consider is that the model can "look ahead" and precompute what the future tokens might be. And it can then use this to predict the current token. In fact, some work have been investigating this, such as [1].

And a final note, predicting one token at a time is what we are doing as humans when we speak, so clearly it is not a wrong approach. We are doing this "look ahead" in our mind before speaking.

[1] https://arxiv.org/abs/2404.00859
> If the tech is cheap enough, there are a lot of hypothetical upsides to constantly tracking every multi-ton machine on the road. Observe, for comparison, the FAA requirements for flight plans and running a broadcasting transponder to safely operate an airplane.

If the tech is cheap enough, you could argue that there are hypothetical upsides to having a tracker implanted inside every citizen as well. After all those citizens are capable of illegal behavior and must be monitored.
I haven't heard anything about the Rabbit R1, what is it supposed to be? Based on the video it looks like this is just Google Assistant except not by Google, what makes it different from a normal phone?
I don't think people (well outside of some clickbait headlines) are surprised it is running Android. But more that it is an app.

Personally I figured it was running Android but likely a heavily modified fork.

Especially after how many times they seem to have buckled down on it not being possible as just an app.

(Unless I am misunderstanding and it is indeed a fork and not just an App? ).
There was never a version of CCS using that plug.

NACS is CCS. It's how it works. It's the third CCS plug whether you like it or not. It's the practical reality.

It's a bizarre hill for you to choose to die on.
That would be irresponsible and strengthen the case against run0 as a replacement. And let's be honest this time: the argumentation is that it's there to replace sudo.
I would never purchase this myself, but it seems most people are buying it as a toy or trinket, not as a productivity device.

I can't judge them too much considering how much actual grownup money I've spent on Legos...
The surprising part isn't that the device is running Android OS, but that the whole thing is a single Android app.
Cinemax's excellent 'The Knick' (about a chief surgeon at the Knickerbocker Hospital in 1900's New York) had a gut-wrenching one or two episode arc about efforts to refine transfusion techniques and why the team kept seemingly randomly ending up w/dead patients because no one had yet understood Rhesus factor proteins.
I fear this would only hamstring macos, not empower ios.
Slightly off topic, but you you mentioned fuse pulls in a Jeep...I'm a glutton for punishment and I've always driven a Jeep (though I do have a 4Runner for my reliable car) - learned to drive on a CJ.

Anyway, the head unit in my JK stopped turning off when I took the key out - so that was a fun battery-draining episode. I've been waiting for the weather to get nice to pull the head unit and put something else in there, so in the mean time I just pulled the fuse.

Of course the head unit is responsible for publishing outside temperature to the CAN. I don't care that the dashboard says --F instead of a temperature now, but on a cold start, the ECU doesn't know if the oil pressure is high because of a fault of just because the oil is cold. So if I get on the throttle even a little before the engine is warm, I get a CEL now. The joys of Jeep ownership.
All of my clients have their own servers, hot spares, and off-site backup.
We are more than LLMs, we have a pretty terrible CPU too. But it's interesting to think, all this positive self reinforcement where you tell yourself "Today's a good day", "I'm amazing", etc, are you just prompting yourself by doing that?
wow, so prophet net does work! i spent so much time experimenting with it back in the day, but just lacked the scale to see a positive result.
I put my player and collection out for bulk pickup and labeled it as to what it was and that it worked. It was picked up by some random stranger before I got back from walking the dogs. I really hope they enjoyed it.
[dupe]

https://news.ycombinator.com/item?id=40217453
Also a noob here, if we encoded, trained on and synthesized sentence vectors, wouldn’t that move the AIs ability to create novel things up from sentences to words?

I.e. we currently operate on words (roughly) so the AI can only use words it knows but can synthesize unique sentences from words. If the AI operates on sentences, wouldn’t it only be able to regurgitate sentences it has seen before? So it could synthesize novel paragraphs, but not sentences?

I’m not convinced that sentences are a useful abstraction for AI (in English, anyways). They’re barely useful to humans. Check out your average chat conversation, email, YouTube comment, etc. There’s a very good chance the sentences aren’t actually sentences, or that they haven’t even bothered to use punctuation.

I just don’t think sentences map to a semantic device. A sentence could be two words or half an English paper depending on the writer. It could traverse a half dozen ideas or a single one. Where a sentence ends generally is more about the writer than the semantics.
My favorite is pokefetch.
You are applying an extremely offensive anti-semitic trope on anti-war protestors?
Yeah fair, I also figure they mostly weren't expecting to get fired. But once you have been you might as well use the system as fully as you can, eke something out of it.
I'm fine with keeping private property rights so there's no guessing and trespassing is hardline crossing that fence. It was merely an offer as a potential trade since you wanted something for free that involved guessing who is a roamer. Obviously property owners aren't trading away interests unless you're ponying up something sweeten the deal.
But under "the natural consequence of evenly distributed economic growth" Steve was and is making a constant 66% share of the wealth.

Except that's not we have in the US/EU/UK. The top earners have been increasing their share since the 1970s, if not longer. See, e.g.

https://www.bbc.co.uk/news/business-59565690

> since 1995, billionaires' wealth had risen from 1% to 3%.

> The world's richest 1% has taken more than a third of all additional wealth accumulated since 1995, while the bottom 50% captured just 2%.

> The researchers found that the world's 52 richest individuals saw the value of their wealth grow by 9.2% per year for the past 25 years, well above less wealthy social groups.

(That was just one of the page 1 results for "wealth inequality history" that I got. I know I've read better analyses that cover longer time periods before, but I'm feeling lazy at the moment. If you have any links at all to suggest we're in anything like "evenly distributed economic growth" then there's a possibility I'd be inclined to dive deeper.)
If you haven't seen it before, you may find this interesting: https://medium.com/building-the-agile-business/a-structure-f...
Two Experts Advocate Monthly Stipends to Curb Black-on-Black Crime
That poll shows exactly the problem with rebase workflows. 41% say they mostly rebase but 48% do not know that merge/rebase conflicts have swapped order of local/incoming changes. Granted, the percentages are exactly right that those 41% might not at all overlap with the 48% but how likely is that?

The reality is that most people work on their private branches, alone. In that case it makes almost no difference if you rebase or merge. In almost any other scenario, merging still works as expected, while rebasing without understanding git will almost definitely lead to losing work and spending an absurd amount of time resolving conflicts. Why would you want to inflict that on yourself? Just use the approach that always works instead.

Learning Git really isn't high on the priority list for most developers, as they know what they need to use to get stuff done. The complexity gets really high really fast, so it's quite understandable why most people treat Git like DNS or other infrastructure - it's there, I know the basics to get stuff done and if anything goes wrong I ask an expert to take a look. And guess what? There is NOTHING wrong with that.
This is all valid, but I would say that their actual EV tech, ie battery management, charging network and efficiency is still best in class.

Of course now they've gutted this team perhaps that won't be the case for long
> according to two former employees and multiple postings on LinkedIn

I have serious question about what 'entire' means here. This is almost certainty a reorganization and not everybody is gone. Manufacturing and maintenance is certainty gone continue.

Musk then said:

> Musk subsequently said on X that the carmaker still plans to expand the Supercharger network, "just at a slower pace for new locations and more focus on 100% uptime and expansion of existing locations."

The reality is, Tesla Superchargers are still far more reliable then the competitors (at least in the US). And its unlikely that these firing will change that balance anytime soon.
No one is surprised. People are saying that this _could_ be an Android app, and _should_ be an Android app -- and now it's been shown that it _already is_ an Android app.
for one, its not a phone (it cant make calls)

https://www.rabbit.tech/
Informative and concise! Fascinating to see more software details around how a VPP actually gets built!

The fun thing about VPPs is that once you have the software setup, it's basically free money with less carbon emissions by undercutting the gas peaker pirates who ended up charging $1600/MWh in Texas earlier this year. [0]

0 - https://www.eia.gov/electricity/monthly/update/wholesale-mar...
The chart should show like "miles driven with cruise control enabled" and "miles driven with <mild assist> cruise control enabled" (e.g. radar / laser / automatic, lane assist, etc." for all brands of vehicles.
First documented cases of HIV transmitted through cosmetic needles
Google urges US to update immigration rules to attract more AI talent
World doesn't end at SF borders, nor does it revolve around it.

I can come up with tons of corner cases where I simply won't risk life of me and my whole family just because some tech bro said so on the internet. And you know, tons of corner cases that I sometimes experience all over the world sum up into some major percentage.

By all means be a betatester, but don't force it down the throats of unsuspecting non-tech users who often trust what manufacturers claim.
There is a place for maturity.

The answer is probably for big companies to let themselves get big but then start investing in the startup ecosystem. New things that aren't a good fit for BigCo should be done in actual startups.

I think trying to put everything under one umbrella is actively harmful. In its most extreme it gives you the Soviet politburo. I've speculated before that the real reason that capitalism seems to work better is because of this multiplicity of organizations allowing the system to route around dysfunction. When everything is all one big corporation (as it was in the USSR) dysfunction in any area becomes fatal and cannot be recovered from.
awesome, if you have any feedback or features that you need. Feel free to give me a feedback

Cheers~!
I also have not done this myself but I see lots of folks asking for more info. Dug this up a while back when I was considering buying a Jeep (still am, haven't made a purchase yet)

http://sandsprite.com/blogs/files/airprime_ar7558.pdf
http://sandsprite.com/blogs/index.php?uid=7&pid=462
One binary to rule them all, one binary to find them, one binary to bring them all and in the darkness bind them; in the Land of Lennart where the shadows lie. Bwaahahaha.
As a tourist I would never do that. It had for me to picture walking into a McDonald’s for a cup of water.
Why anyone gives credence to what Musk says is beyond me. The hype this guy has spewed the last decade is beyond credulous.
Not at all true in my experience though I have seen a jump in the number of fountains with integrated hands-free bottle fillers (which is a win in my book).
Deno 1.43 released with much faster LSP
I see your attitude as essentially robbing the public of liberty, and I don't get why the US public puts up with being stripped of freedom that way. One of the reasons I am happy I don't live somewhere so oppressive. Though the UK is only marginally better (Scotland much more so than England and Wales) and has been quite the adjustment from Norway compared to the attitude of wanting it to be ok to kill people it's amazing.