skysight-inc/HackerNews huggingface dataset:
I'm not sure war even needs to be that large for it to be a problem.

Basically unless its like China vs US then you don't need sell BTC to fund the country (even then I don't think you would; but if you never need to sell BTC its pointless).

If China vs US then realistically, China can and probably will cut a lot of the internet traffic between the two. Bitcoin only functions because of the public ledger; if Chinese miners aren't sync'd with non-Chinese miners then you have a double-spend problem and I can't see bitcoin not going to 0 pretty quickly.
haha although I use a bunch of Git commands and am comfy with the internals, I use a similar workflow most of the time.

"commit all files and add a comment" = `cam`, "also push" = `camp`

> cam "fixed bug"

alias cam='git commit -am'

function camp() {
git commit -am "$1"
git push
}
They said they buy it in bulk. I also do. Years ago I bought a dozen reels of floss from a dental supply shop. $60 for 2km of floss. I am still using it.
Well, I could argue the contrary, show that souls are real with experimental results!

Your argument, might not be your intention, infer that just because you can't prove X thus Y exist.
I figured this was going to be about Parrots and I got excited, because I have 3 of them and they're great when they're not being annoying...adorably.

Then I see these aren't parrots, and that's cool too, because birds - Parrots, Cardinals, Chickens, Emus...are freekin' awesome. There is clearly something going on in their comparatively smaller brains.
The charts produced look a bit like Gantt charts but this vis doesn’t seem to track dependencies; you would only see dependencies spread out on the x axis if you let it start unlimited concurrent jobs, i think.
Are polynomials not used in probability?
Your idea of value is completely and utterly disrupted from the rest of the world, then.
Electric vehicle? Damn, that's unimaginative... Use your legs: walk or bike.
When I lived in the PNW I got to know my birds really well. The chickadees were some of my favorite to watch, so dexterous and playful at the feeders.
He's very right about the (hilarious) aggressiveness of hummingbirds, but I did notice the different species acted very different. Not sure the names but the shiny green ones are far more tolerant of each other (I have a picture of 8 sitting on the same feeder at once). The lighter ones with black/yellow/grey markings are SO mean though! Constantly divebombing and harassing. I did have one other (much more rare) type that was orange, that had the most unique personality. Very sweet and brave, but very much a joker. The way he would taunt and "guard" the feeder seemed more like an invitation to play.
American zoning in theory: we will keep noise and pollution away from homes.

American zoning in practice: the only place homes are permitted is within 50 meters of freeways.
a lot of "unearthly lighting" is because of regolith' contra-reflexivity

it reflects light in (roughly) the direction of light source

so you have /even bigger/ contrast between shadow and its border than you'd expect from "no air to soften shadows with dispersed light"
> Satisfying preconditions is a requirement to make functioning programs.

> The insanity would be assuming that every function is valid for the Cartesian product of all possible of its arguments.

Would it? That reminds me of a recent post on HN about proving the long (binary) division algorithm with Hoare's logic. It uses the "d > 0" precondition and proves that, indeed, the algorithm arrives at the required postcondition. However, the algorithm still terminates and produces something even when d == 0. What does it computes in this case? Is it useful? Should such questions even be considered?
Intel E830 for 25GbE to 200GbE and E610 for 10GbE and 2.5GbE NICs Launched
Yes, this is correct.

PubMed is self hosted in a datacenter located within NLM on the NIH campus.

They also have their own fiber connections as you mentioned.

There is also a legit storage vault located within the building that houses non digital records. We were told that there were medical records going back thousands of years kept there; and possibly as far back as the Egyptian era.
Ah, yes. The famous Sudoku solver controversy.

In 2006 Ron Jeffries wrote four blogs about solving Sudoku in Ruby with TDD. His blogging effort ended before he completed the solution. I think he got interested in something else and left the whole thing hanging.

That same year Peter Norvig wrote a Sudoku solver in Python using a constraint based approach. You can see their respective documents here.
https://ronjeffries.com/categories/sudoku/… https://norvig.com/sudoku.html

The anti-TDD lobby, at the time, hailed the two documents as proof that TDD didn't work. Ha Ha, Nya Nya Boo Boo.

I was aware of this silliness, but never bothered to study it. I had better things to do. Until March of 2020. Then I thought I'd use Sudoku as a case study for Episode 62 in http://cleancoders.com.

I had not read either of the previous documents and decided to maintain that ignorance while writing the solver in Clojure using TDD. It turned out to be a rather trivial problem to solve. You can see my solution in http://github.com/unclebob/sudoku

I don't know why Ron stopped blogging his Sudoku solver in 2006; but he picked it up again in 2024 and has written much more about it.

The trick I used to solve Sudoku with TDD was to consider the degenerate cases. Sudoku is usually a 3x3x3x3 grid. Let's call this a rank-3 problem. I started with a rank 1 problem which is trivial to solve. Then I moved on to a rank 2 problem which was relatively simple to solve; but was also very close to a general solution. After that I could solve rank N problems.

The TDD strategy of starting with the most degenerate case (rank 1) and then gradually adding complexity may not have been well known in 2006. TDD was pretty new back then. If you explore Ron's first four blogs you can see that he briefly considered rank 2 but opted to go straight into the rank 3 case. The sheer number of variables for each test (81) may have played a role in his loss of interest. In my case (rank 2) I had far fewer variables to deal with.
I like it, I just wish I could grab it to scroll too. Scroll bars are hard to grab these days as GUIs try to save space by making them one or two pixels thick.
AFAIU the corrosion problems are still not solved from a commercial PoV. Ie, without having to shut down and replace piping too often for it too be viable.
This is one of those things where for literally every 3d tool you test it against you're going to find new edge cases that breaks the code.
> and already has a company/coop behind it

Considering what has happened to Firefox, that's not encouraging.
This is amazing! I wanted to promote our niche product and tried many tools like Modash, Inbeat, and HypeAuditor, but their efficiency wasn't very high, and they were quite cumbersome. Our requirement was to find a mother with multiple children who enjoys trying foods from around the world and lives within 100 kilometers of New York. None of the other tools could filter for that, but this tool allows for natural language descriptions. It can use any filter, not just a limited set of filters!
My and your reply got killed. Interesting moderation going on here @dang.
I love Charley Harper's depiction of all the colors in a winter bird feeder. https://charleyharperprints.com/wp-content/uploads/2019/11/W...

Red winged blackbirds are another all time favorite of mine. It is so startling when you see their wing colors flare, and hear their strange polyphonic song. I wish I got to see them more.
It's not about "needing" another one. The "other one" is already here, whether you think you need it or not. Will America play the leading role in how the world reacts to its existence, or will someone else beat them to being first? The answer was already decided. Welcome to the future.
Here in the US, a field of hay might gross $500/acre/year. A PV field selling power at $0.02/kWh would gross 50x that. You'd optimize such a setup for PV, not for combined PV + hay.
The terrifying thing about Meta (and their large, connected world) is that, if you look at someone the wrong way and get reported, you lose access to all your games. Even single-player ones! It’s too dangerous to open, let alone engage with.
Much smaller, no atmosphere. You can get a lot closer to it in orbit. Until Apollo 14, the LM would enter a 50,000 ft periapsis on the way to landing. Dunno the exact phasing of this lander, but that video could be from a similar height (or lower, if you have good navigation.)
But null value seems to have the intent that it doesn't have category at all.

So, let's say there's a function createFruit(fruitType: FruitTypeEnum);

If it's null, it seems wrong since it seems to mean that you have a fruit without type.

If it's unknown, then it might also be incorrect, since you very well know the type, it just isn't handled there.

So I'm wondering if best might be something like Unhandled, Unspecified or Unlisted.
Actually the homes typically take heat out with a simple heat exchanger, not a heat pump. Projects previously could use the waste heat from electricity generation, but fewer of those sources are available with coal plants shutting down and gas plants only being run when there is no wind. Add to that the much higher cost of infrastructure compared to installing a heat pump in every home and it's not looking good for future projects. But inner cities that do not have room for that could still benefit.
They really tried for a while with the bundling the second version with the XBox One but that didn't last more than a year so it wasn't long enough to really saturate the market which is what odd peripherals REALLY need to get people to make games for them. They either have to be very very cheap or wide spread for it to make sense to make a game that requires them.
I would download sooo many random programs from the internet back then, and rarely were they viruses. I also didn't have online banking and my internet connection wasn't always on. The attack surface was just so much smaller. Like what, were they going to steal my collection of gifs?

I did once get a virus that made a long distance call to Japan with my modem before I realized what was happening and unplugged the phone cable.
Pretty much everything I want from Amazon is delivered on the same day that I ordered it, free of extra charge, because I live in a real city where one van can serve thousands of customers in a single trip. Needing aircraft for same-day delivery is a problem that suburban development patterns caused for themselves.
I didn't realize we at Hetzner had become a verb. That's a kinda cool thing to find out on a Monday. :D --Katie
> It went from from "agrarian" to "beat the USA to Earth orbit, put landers on the moon and Venus first, roughly equal nuclear capabilities, and still couldn't provide toothpaste to its people".

> Yeah, it was able to channel more of the output of the workers into achievements like nuclear weapons and space programs. It didn't put much into things that actually benefitted the workers, though.

Yes, and? I don't feel a need to claim the USSR was in any sense "nice" or "wise" or anything else like that. They were awful in many, many ways.

If my point had been about niceness, I could of course also point out that at the same time, the USA was still in the middle of saying "well obviously black people need to have separate bus seats" and had yet to end redlining policies, while the UK had yet to fully internalise that perhaps the people in the colonies who kept shooting the troops might possibly not like what we had done and were continuing to do with their homes.

But such was never the point I made in the first place.

Think lower on Maslow's hierarchy of needs.

Famine is the default, that everyone used to suffer on a regular basis. The USSR, India, China, these are all countries had all been suffering from mass famines at the start of their industrialisation, and compare them to how Ireland was part of the UK when the potato famine happened: The Soviet famines were 1930–1933 (including Holodomor) and 1946–1947 (which was partly due to WW2 and a need to not look weak due to very legitimate fear of America at that point); the Chinese one was the Great Leap Forward in 1958-62 (the CPC only took power in December 1949); the last really severe Indian famine was 1943, just before the British were made to leave.

Then think of the housing stock. Of electricity. Of plumbing, even (even today, Russia's % of that is pretty low). Pre-industrial societies basically do not have mass plumbing — can't pump sewage away without power. Toothpaste is important, but it's way down the list compared the radical improvements to quality of life that these governments brought their people (which is not to say they therefore are above criticism, they're absolutely fair game for criticism!). Even good nations aren't above criticism, and the USSR wasn't even good. The USSR in particular had huge avoidable problems caused by their own censorship preventing themselves from fully understanding how badly wrong their own policies were.

Even despite all the stuff the USSR did wrong, they still made things a lot better than what came before. (Unlike, say Pol Pot, who was an unmitigated disaster for Cambodia).

That the USSR was, and China now is, able to reach the point of challenging the USA for hegemony, is nevertheless a national success story. Despite both being flawed. Likewise India now having a GDP higher than the UK, even if they're still a long way behind on the per-capita front.
Can it differentiate between different household members?
I read a lot of books. While I had some fundamental in high school, I really started in college and the tricks was to read books for the theorical parts, read articles for advices and specific walkthroughs, read code for examples of implementation, and then solve problems to intenalize all of that reading.

But it all compounds. Going from reading to doing takes little time and I’m able to use much denser information repositories.

If you have to spend three hours reading about python environments, that’s just a signal that your foundation is lacking (you don’t know how your tools work). Using LLM is flying blind and hoping you will land instead of crashing.
'Fire the Intel board and rehire Pat Gelsinger,' argues former Intel CEO
Amsterdam lets little vehicles like this operate in its bike lanes. They can't be capable of going over ~30 mph. I imagine a similar policy is being followed here.
This is my point though. Inside Out 2 suffered from high expectations. If Pixar never existed and Inside Out 2 came from an unknown studio it would have blown you away.
I'm pretty sure Gemini (and likely other models too) have been deliberately engineered to avoid outputting exact lyrics, because the LLM labs know that the music industry is extremely litigious.

I'm surprised it didn't outright reject your request to be honest.
In order to make this distinction meaningful, we need a definition and a way to test it. Without both, we're all unfalsifiable.
How has nobody said that this should be called 'Stroll Bar'????
The meat packing house nearby isn't sending chainsaws over my head every 58 seconds.

Neither are all the other manufacturing plants within a few miles of my home.

Neither are all the commercial office buildings with lots of office jobs.

Seems there's a lot of places for people to work that aren't involved in massive noise pollution over my home every minute.
In south-east Asia, I loved the Coppersmith Barbet.
Lumping an entire industry into a single convenient strawman isn't very good for you.
"Amazon’s Stephenson says that the demonstrations weren’t possible, because the FAA didn’t approve the drones to take flight until the end of the year when commercial operations began."

Lie detected. It would've only required a pilot be onsite who is licensed for that class of UAV. As long as the demo flight adhered to published FAA rules, no FAA exemption or approval is needed. The permission is needed when you do things like fly without maintaining line of sight or fly over people.
I don't blame residents at all. FIFTEEN hours a day is incredibly long. That would be from 6am to 9pm. Imagine having a drone buzzing by your house 930 times a day during all waking hours. Want to sleep in? Go to bed early? Best of luck. I lived across from a neighbor who blasted their music. I could never crack a window and had to blast the TV. Even on the back side of the house, I had to use headphones to drown out the noise. Maybe I am overly sensitive to noise pollution due to this experience, but I'd absolutely throw a fit if I had to live like that because of Amazon.
It's not clear that enough information really survives:

https://en.wikipedia.org/wiki/Archaeoacoustics
XenonRecomp: Tool for recompiling Xbox 360 games to native executables
Show HN: Open-source Deep Research across workplace applications
I’ve been using deep research on OpenAI and Perplexity and it’s been just amazing at gathering data across a lot of related and chained searches. Just earlier today, I asked “What are some marquee tech companies / hot startups (not including the giants like FAAMG, Samsung, Nvidia etc.)”. It’s a pretty involved question and looking up “marquee tech startups” or "hot tech startups" on Google gave me nothing useful. Deep research on both ChatGPT and Perplexity gave really high quality responses with ChatGPT siding on slightly larger scaleups and Perplexity siding more on up and coming companies.

Given how useful AI research agents are across the internet, we decided to build an open-source equivalent for the workplace since a ton of questions at work also cannot be easily resolved with a single search. Onyx supports deep research connected to company applications like Google Drive, Salesforce, Sharepoint, GitHub, Slack, and 30+ others.

For example, an engineer may want to know “What’s happening with the verification email failure?” Onyx’s AI agent would first figure out what it needs to answer this question: What is the cause of the failure, what has been done to address it, has this come up before, and what’s the latest status on the issue. The agent would run parallel searches through Confluence, email, Slack, and GitHub to get the answers to these then combine them to build a coherent overview. If the agent finds that there was a technical blocker that will delay the resolution, it will adjust mid-flight and research to get more context on the blocker.

Here’s a video demo I recorded: https://www.youtube.com/watch?v=drvC0fWG4hE

If you want to get started with the GitHub repo, you can check out our guides at https://docs.onyx.app. Or to play with it without needing to deploy anything, you can go to https://cloud.onyx.app/signup

P.S. There’s a lot of cool technical details behind building a system like this so I’ll continue the conversation in the comments.
> Finally practicality of the frame for farming machines . Meaning the dimensions need to adapt to pre-existing machines. And ideally remain upright even if one post gets hit.

I believe that the end-game for agrivoltaics must be a reversal of that relationship: not the panel scaffolding adapting to farming machinery, but farming machinery and panel scaffolding becoming one, the scaffolding doubling as rails for overhead machinery. The status quo in farming is that a lot of fertile ground is wasted on machinery tracks. Machinery is either narrow-wheeled and ruining the soil in the track through compression, or the wheels are very wide (for weight distribution) to cause less harm per square inch, but harming proportionally more.

When you have scaffolding, scaffolding that is strong enough to survive a storm or two, it will also be strong enough to carry machinery. Not the machinery you'd attach to a 600 HP tractor, but the entire incentive situation for machinery size is based on the amount of harvest lost to machinery tracks and that would be completely solved through scaffolding-based machinery. And the issue of machinery tracks (and ground compaction) only gets worse when you start considering decarbonization: batteries are heavy, and a grid connect right above your field would be just what you'd not even dare dreaming of.
In a post-fossil fuel age, that crop waste will be used as a carbonaceous feedstock for things like jet fuel and what are now petrochemicals. Burning it for power will be uneconomical.
And the value of Blender (or any 3D rendering software) is not only the fidelity of the rendered result, but the tools it gives artists to transform their vision into something that can be rendered by a computer.
Before sharing how it works, I want to highlight some of the challenges of a system like this. Unlike deep research over the internet, LLMs aren’t able to easily leverage the built in searches of these SaaS applications. They each have different ways of searching for things, many do not have strong search capabilities, or they rely on their internal query language. There are also a ton of other signals that web search engines use that aren’t available natively in the tools. Examples include: backlinks, clickthrough rates, etc. Additionally a lot of teams rely on internal terminology that is unique to them and hard for the LLM to search for. There’s also the challenge of unifying the objects across all of the apps into a plaintext representation that works for the LLM.

The best way we’ve found to do this is to build a document index instead of relying on application native searches at query time. The document index is a hybrid index of keyword frequencies and vectors. The keyword component addresses issues like team specific terminology and the vector component allows for natural language queries and non-exact matching. Since all of the documents across the sources are processed prior to query time, inference is fast and all of the documents have already been mapped to an LLM friendly representation.

There are also other signals that we can take into account which are applied across all of the sources. For example, the time that a document was last updated is used to prioritize more recent documents. We also have models that run at indexing time to label documents and models that run at inference time to dynamically change the weights of the search function parameters.
> It’s hard to come up with a nice visual for it though

Suggestion off the top of my head: down arrow / thumb down; circle / horizontal dash; up arrow / thumb up; star / heart.

The circle / horizontal dash could be ambiguous in isolation but should be clear in context.
> Did the doctoring not happen with the benefit of, say, scaples and medication getting put onto trucks and shipped to a warehouse and then distributed to hospitals and clinics

Umm no?

In 1600BC when the Egyptians were first performing autopsies and writing about the human anatomy, they were not ordering scalpels off Amazon.

When Aristotle first identified the difference between arteries and veins in 4th Century BC, I doubt he got his magnifying lenses shipped next day from a warehouse.

When Leonardo da Vinci made his incredible drawings of the human skeleton and mapped out the human anatomy for the first time in 1510, I dont think he needed to sign a drivers delivery note for his pencils and paper.

I think you need to step back a little bit and take a good look at what you are arguing. I am no longer going to reply to this nonsense. Thanks for the fun!
I really like this theory from Kellan Elliott McCrae: https://fiasco.social/@kellan/114092761910766291

> I think a simpler explanation is that hallucinating a non-existent library is a such an inhuman error it throws people. A human making such an error would be almost unforgivably careless.

This might explain why so many people see hallucinations in generated code as an inexcusable red flag.
Ha! So true.

It's fascinating, zoning in practice just has nothing to do with any of its stated goals.
About as believable as DOGE "saving" the government $105 billion.