skysight-inc/HackerNews huggingface dataset:
It really is! I built a system to monitor/control my wood stove with a pi. The GPIO pins made it easy-ish to hook up an infrared temp sensor over i2c. I found a relay hat that allowed me to switch 120 VAC to control the stove's fan. My pi 4B had plenty of power to run a Ruby on Rails server to build little charts/graphs, a config UI, and some cron jobs. Lots of very powerful Lego blocks, basically.

https://github.com/locofocos/wood-stove-rails
I suppose it will be treated as other international jurisprudence. However it is indeed not practical for individuals.
Addressing the goal of the author vs the symptoms of Google Takeout, I've found the best way to handle a reasonably large photo library (~3TB) is to manage it locally with a DAM (digital asset management) platform and then back that up automatically and into whatever cloud(s) I want for offsite backup or sharing.

The backup process puts both the underlying photo assets plus the DAM's DB of metadata into backup automatically and continuously. I could (always) be more paranoid, but so far this has worked. And I have successfully restored from the cloud backup after a motherboard death on my primary local machine.

I think using a 3rd party cloud system as the primary system and source of truth is making life harder unnecessarily.
The potential impact of nicotine pouches on public health
These sounds sounds more like a Southern Chinese language, not Mandarin. Mandarin has highly simplified set of finals (essentially /n/, /ng/ and /r/) which cannot even combine freely with most vowels. But Southern Chinese languages preserve a more complex final system.

I still don't think "Shok Jok" sounds very much Chinese (It mostly sounds American English[1] to me), but YMMV.

[1] https://en.wikipedia.org/wiki/Shock_jock
it works better if you Trigger google takeout to put the archive into your google drive account, and download that archive onto a VM for further processing.

I do regular copies from google takeout to AWS Glacier Deep Archive (via S3) , it's cost effective and works well. I use rclone for the reading and writing.

Just spin up a VM for the duration of the processing. You can use the intermediate step to filter, transform, prune , chunk or edit files as well.
> Wikipedia not only respects but requires expert support for its content. However, it uses a very specific definition of “expert”: Someone who can get their assertions published in one or more Reliable Sources.

Yes exactly, "it gets cited" is not "expertise". And "it has not been cited much" is not a lack of expertise. That is what people are complaining about. And no, vague hand-waving about "Reliable Sources" doesn't help.

You can't just redefine "expert" to an very specific non-standard meaning and then use that for your argument. This is playing word-games and doesn't engage with the substance of the criticism.

And look, I'm not even saying Wikipedia is wrong to have the policies that it has. But any policy on this matter will have real limitations and trade-offs, and the current one is no exception. Being dismissive of that and playing word-games around it is not going to change that.

The article then continues to defend Wikipedia against some of the allegations entirely without any knowledge of the conflicts or facts involved. It's just speculating in thin air.
My point is that the issue is the stdlib is monolithic at the moment. As it gets split up in the near future, the binaries will reduce in size.
https://lethain.com/first-ninety-days-cto-vpe/

???
So they _should_ vote tactically, and only send the message when it doesn't hurt them.
How many GPIO pins does the Tini-Mini-Micro PC have?
I doubt this interview was last week. It might have been 10 years ago.
I should write a Lisp browser.
So what, exactly, is your suggestion? "Do something"?
Barely related, but do you have advice for someone who wants to work on a very specific project at Google? I'm not at the point of hireability yet, but in the long-term I want to optimize my chances to get hired to work on AndroidXR. Should I just put my effort into writing tangentially-related open source projects? Should I be trying to grab positions at similarly-focused companies first? I don't really care about optimizing for comp, and I don't even really mind if I'm only contracting and not at Google proper, I just very specifically want to work on that project.
McDonald's will stop testing AI to take drive-thru orders, for now
I’m sorry but that description was laugh out loud hilarious. Felt like I was reading David Sedaris.
> The paranoid side of me suspects that a cable like this one would be an ideal place to hide a malicious chip.

Why hide a malicious chip in a cable with display -- why not in one without a display? Wouldn't that be more, uh, malicious?
As a more or less daily user, I was surprised at how not-breaking the 2.0 changes will be for 90% of Numpy users. Unless their dependencies/environments break, I expect that casual users won't even notice the upgrade.

Even the new string dtype I expect would go unnoticed by half of users or more, because they won't be using it (because Numpy historically only had fixed-length strings and generally poor support for them) and so won't even think to try it. Pandas meanwhile has had a proper string dtype for a while, so anyone interested in doing serious work on strings in data frames / arrays would presumably be using Pandas anyway.

Most of the breaking changes are in long-deprecated oddball functions that I literally have never seen used in the wild, and in the internal parts that will be a headache for library developers.

The only change that a casual user might actually notice is the change in repr(np.float64(3.0)), from "3.0" to "np.float64(3.0)".
This is really cool. I would probably buy one and give starlink a go once this comes out
There's also a huge difference between "you have the source code" and "you're legally allowed to use it".
Germany has an interesting hybrid voting system that combines proportional representation via parties with local representatives.

In Germany, you cast two different votes. The first vote elects your local representatives via a first-past-the-post system; they all go to parliament. Then you fill up parliament with more people to make the proportions match those of the second votes cast all over the country. (There's lots of special cases and rules involved. Eg to handle the case when a party gets lots of first votes, but no second votes.)
The comparison you're drawing though is still hyper-optimized to a specific use-case: a marginal peaking plant i.e. an infrequently used one with a very low required capacity factor (and also presumably operating right at the peak of wholesale pricing on the daily cycle).

But that's a utility being injected into a grid which already has widespread stored-fuel powerplants. I'm not contesting batteries work under some circumstances, I'm contesting whether they actually work when they are doing more then displacing load-handling at the edge. The grid runs 24/7: there's a massive difference between running batteries for 2 hours, and then recharging because you can buy power any time of the day you want, versus their being near zero dispatchable generation on the grid.

Because a gas generator is more then happy to sell you power and run a little longer to do so at any time of day. If that gas generator doesn't exist though, then once your battery is empty it's empty until the renewables pick back up. And that's the answer I'm still not seeing - the question isn't "can you optimize the grid" the question is "can you eliminate stored-fuel power plants entirely". It's fairly obvious that batteries can help in some circumstances given that gas plants have start up times in the tens of minutes, and power prices going negative is bad for them.

EDIT: Basically, are we actually displacing any fossil fuels off the grid, or just optimizing it's expansion - given that an infrequently used peaker plant can become a frequently used peaker plant quite easily, but a solar farm can't do the same.
That's something I notice when I take mushrooms. Instead of seeing "my hand" I see veins, skin, bumps, tendons, shadows and a lot of other things. I think a lot of great artists either see like this always or maybe they are taking psychedelics to help.
The economist is probably center right.
> Deploy as infrequently as possible. Urge extreme caution about deployments. Leverage any production issue as a reason to “pull the brakes”.

Deploying infrequently doesn't necessarily sabotage things if it results in well-written and tested code before deployments, which tends to create stable systems. If anything, it's the opposite of "move fast and break things." If you want to sabotage things, urge frequent deployment and minimal testing.
var let const input = variableConstant(true) - 100
TT supports multi block projects now, might be doable
Yep, it was called cfront.

https://en.wikipedia.org/wiki/Cfront
At-least for now, you need to move these into readme.md These animated gif gives better idea about this tool! nice work!
In my opinion, that kind of material would fall under that rule, but I can't find enough discussions to tell you if they should be treated as especially reliable. The closest thing to a discussion on stock exchange filings was in 2012 on SEC filings (which also have legal penalties for dishonesty) where editors made the points you did:

https://en.wikipedia.org/wiki/Wikipedia:Reliable_sources/Not...
> It’s awesome that they have the flexibility to choose different launch partners and can use the most reliable and flight proven technology.

Except that likely is Falcon 9, and SpaceX gets launches at cost.
I’ve worked at companies with async training. Async training does help on fault tolerance and also can assist with training thoroughput by being less reliant on slowest machine. It does add meaningful training noise and when we did experiments against sync training we got much more stable results with sync training and some of our less stable models would even sometimes have loss explosions/divergence issues with async training but be fine with sync training.

Although even for async training generally I see dataset just sharded and if worker goes down then shard of data may be loss/skipped not some kind of smarter dynamic file assignment factoring when workers go down. Even basic things like job fails continue from last checkpoint with same dataset state for large epoch is messy when major libraries like tensorflow lack a good dataset checkpointing mechanism.
Wow 24MH/s on an i7 with 8 cores sounds really good!

I don't know how I got it working, but I'm now at 3GH/s with my OpenCL implementation. I basically converted 90% of my rust logic to opencl and now my GPU is at 100% usage and I also needed to switch to a tty, as my window manager became unresponsive haha

I'm kind of glad about this HN post, as I had absolutely no clue about how sha256 and opencl worked before this challenge.

Thanks @quirino
I've been using the cheapest aliexpress cable ($1.79 for "100W" model) for a few month, and it seems to work fine for 40W charging of my laptop. The display is extremely useful, as the charge light is hard to see when the laptop is in the bag.
Based on what’s happening in Ukraine, I suspect any airplane is basically just a lift platform for missiles. They’ll be fired off well behind the front where established air defenses can counter enemy air defenses.

Stealth doesn’t seem as critical as speed.
Sauce – Standard Architecture for Universal Comment Extensions (1994)
Show HN: Graphmark – Enhanced bookmarking service as Chrome extension
Hello HN, I'd like to introduce you to our newly launched service, Graphmark!

With Graphmark, when you mark a webpage while browsing, the extension automatically extracts entities from that page and creates a knowledge graph. This graph is displayed whenever you open a new tab, allowing you to start your web journey based on connected websites.

This can be particularly helpful for those who want to study and explore a specific topic, or for anyone looking to organize and utilize their web browsing history effectively.

For me it is very useful when reading economic books over the weekend. Whenever I come across an unfamiliar term, I mark its Wikipedia page and keep my knowledge graph growing.

If you visit the linked site, you'll find demo and installation pages. We appreciate your interest and welcome any feedback or questions. Thank you!
Not according to Beato
One huge oversight in this analysis is the assumption that LLMs will not get better. Imagine there is a 10% chance that LLM capabilities increase so significantly in the next 5 years that a significant portion (say 1%) of the economy will be automated by them. That's enough to make Nvidia a multi trillion dollar company.
> No, you literally wrote "it’s generally a bad idea to legislate for over a third of a billion of humans on the basis of rare freak accidents".

I genuinely have no idea what your point is. The most generous reading I can give this is that you took my words to be an assertion that we should abolish all laws relating to workplace accidents, but that is a farcical misinterpretation. Both on its face, but especially in the context of the wider discussion.

> I agree. Yet, laws against child labor already exist and they work as a "blanket" safety mechanism against all threats to children, regardless of what incident might happen.

Of course they do. I'm unsure why this requires explanation. What's the alternative? Non-blanket child labour laws? What would that even look like? Again, I have no idea what your point is.

> Please do not accuse other people of acting in bad faith.

This exchange began when you accused me, in a one line comment, of finding the death of children acceptable. If that was intended to be a good faith, constructive comment, I'm happy to hear how exactly.

More broadly, I reject your view that bad faith comments ought not be called out. Why not? In the best case, it helps a person become aware that they're not engaging constructively; alternatively, it's informative for others, and can help them from entering into a pointless discussion.
Of course not, but no one is saying that we should always uncritically accept what a company says. That's just boring black/white nonsense.

Obviously people involved in a topic have a conflict of interest and their edits should be viewed with the appropriate amount of trepidation (if they should even be editing at all). This, however, has nothing to do with capitalism. It's a very odd swipe to include.

And it really does depend on the specifics of what they wanted to change. People with a conflict of interest try to make poor edits all the time, but there's also tons of uncited or poorly cited stuff on Wikipedia that can be hard to change if one particularly difficult editor stands in the way for whatever reason (possibly due to their own opposing conflict of interest).

A whole-sale dismissal of their complaint without any information about the specifics at all is just flat-out wrong. This is exactly the sort of behaviour are complain about.
Yeah, 12.3+ is pretty good. It handles 80-90% of my mileage, and the majority of the time I take over because it's too slow.

The only place where it's worse than earlier versions is yellow lights. I'm going to dl/try 12.4 tomorrow.

Being able to move from FSD to optimus to whatever comes next is where Tesla can really shine.
I make simple games and our designers make all the assets in Figma, there's simply no way AI will grasp interactions, timings, asset optimization, and so on. Maaaybe if the designers could be overly detailed and build every screen, which would be too expensive, an AI might build something that resembles the game.
What did you do to improve?
Indeed, my assumption was that this was some simplified drawing of a bus that didn't have doors in the first place
Is aesthetic sense cultural? I have visited and lived in many different countries. In some places, people appear to have no aesthetic sense i.e. live among junk. In other places, everyone really made an effort to keep things beautiful.
Do you think people can learn something from simulation games that’s inherently hard to learn from mere language or mathematics?

Is it possible to create good simulation games of substantial global events and the subsequent possible outcomes. Some examples would be a pandemic like Covid and how it shaped societies differently based on preconditions and policies OR a discovery of nuclear fission that sparked building nuclear weapon (I.e the manhattan project) and fueled the cold war OR the realization and threat of man made global warming and the global reaction and policy making and many possible outcomes.

And if not why are they not feasible for games. Is there something that makes these types of events and their outcome hard to simulate?
Seeing this sentiment more and more. And I share it. All bubbles pop sometime.
> a cable like this one would be an ideal place to hide a malicious chip.

USB cables already have an mpu in them unless they are simply USB 2 cables with a type C connector.
Rook would suit your problem space very well.
Gnoramus et gnorabimus? (Personal preference: H13.)

But if we were physicists H₁₅ would have a rich inner life
https://physics.aps.org/articles/v13/142
Reasoning on modern military bleeding-edge technology using the fallback of common sense seems beneath you.

Well, some days we all wake up in a trolling^Wprovocative frame of mind, and F35 meta-dogfights on message boards are always a hoot, but I'm only being half-facetious here. Video games had "AI" that did most of this stuff in the 1980s and the rest of it by the 2000s. So why, given modern sensor packages and modern software engineering, isn't it "just common sense" that machines are better at it than humans now, or will be soon enough?

E.g., we had a crude version of SLAM in the 1950s, with cruise missiles that combined real-time terrain correlation mapping with inertial guidance. (You have to google TERCOM to learn more about that, rather than SLAM, because SLAM meant something even more ludicrous-sounding at the time.) Now we use vastly more sophisticated techniques in household vacuum cleaners. What exactly does close-air support require that can't be handled by an AI (if not an RPV)?

As for ARM and SEAD, I honestly don't understand where you're going with that. Electronics can take a lot more nuclear radiation than you and I can, and as for EM, well, so? We know how to deal with that. On the offensive side, the Wild Weasel that fires an ARM is just the first stage of the missile, isn't it, at the end of the day? Can you elaborate on (again, exactly) why this role is inherently impossible to automate?
The issue I have is convergence vs divergence. When a new modality emerges, a normally convergent trend can be disrupted when a new divergent utility frontier emerges

Here are a few examples: the rate of deaths in wars was roughly stable for hundreds of years until WW1 and WW2, due to the advent of tech so new that it upset many of the stable equilibria that minimized the excess death of wars.

The rate of transportation deaths was very small all throughout history until the advent of the car. Even now, 130 years after its invention 1/100 deaths in the US are due to traffic fatalities.

My general point is, the vast superintelligence of intra and international systems tends towards a banal equilibrium UNTIL a massively disruptive technology is introduced which massively incentivizes one side. The level of potential hazard and collateral damage is proportional to the benefit offered to the winning party. The moment the US invented the nuclear bomb, they used it on citizens, who all died solely because their deaths weren't quite 100% orthogonal to the US' interests, and the nuke has only not been used since because the equilibrium was balanced due to the technology's proliferation to opposing sides faster than it became necessary again.
You can find them with full cell modems hidden in the cable end molding.
If the footwear was appropriate, you could say something like:

>BOOT DEVICE NOT FOUND;

>FALLING BACK TO SNEAKERNET . . .
>Why not use SSI[1]?

Because hacking is fun, and it's still fun if it's a bad idea
Mathematica is free in pi and I really love it
Recent discussion just last week:

https://news.ycombinator.com/item?id=40622671
But the names are just another complicated way of saying "the third muscle from the back".
C-like syntax is brutally hostile to programming beginners. There is not a shred of anything natural about it.
When learning German it was a revelation that languages could pronounce the same letters in the same way in every word, and therefore you could accurately predict the pronunciation of a word from the spelling.

English does not do this; every word has its own pronunciation, only loosely related to how it is spelled. I think every native English speaker has had the experience of learning a word from reading it, and subsequently mis-pronouncing it because we had to guess at the pronunciation. E.g. I suffered acute embarrassment from mis-pronouncing "Hermione" when talking to a friend about the Potter books. I grew up in the UK but had never met the name before and my guess at pronunciation was entirely reasonable but entirely wrong.

Though I lived for a while in Ireland, and they have it worse. My friend Mebd laughed at me a lot.
Second link seems hugged.
Depending on how builds and deployments are done, there is a high likelihood that the lower userspace layers are much slower moving than the upper application layers. After your second build, dynamic linking wins and everything after that it pulls even further ahead.

Smart builds can make application deltas really small. I helped design a system where our several hundred MB monolith could be hot patches with a layer of a few thousand kilobytes and most builds were 10-20MB. Obviously this wouldn’t have worked for a statically linked app.
yeah, it'll take a while for the new technology to trickle down to the more backward regions
Economist is British, so doesn’t really compare to WSJ. In the UK, it is center-center right, WSJ is for rich American conservatives compared to FoxNews, which is for poorer American conservatives (they don’t read papers, maybe tabloids, but that is basically what FoxNews is). NyTimes is the left side of WSJ, but isn’t so business focused (not so many liberal rich business people in NYC).
But kiki is not a nonsense word in French.
That's a pretty big assumption. We can also assume they do not get much better and extrapolate from that, and I think that it's responsible to analyze both cases and try to ascertain which is more likely.

56% of the American economy is also based on intellectual property so it's also a big claim that the existing status quo will have nothing to say about large tech firms trying to displace that, if it is even good enough to do that.
please do update us
It's just running the chips hot.
It's a worthy concern in spirit. In practice the difficulty is that specific envisioned scenarios break down in relatively straightforward ways.

Humans appreciate and value human engagement and also humans, while we are the species most able to process complexity, are still not very good at it.

It is true that automation taking previously human-performed functions will continue, and also that automation will enable humans- the same, sometimes, different ones other times- to create new roles and functions that never existed before.

And no one really is able to mentally model those impacts with any true facility because things get really complex real fast.

But humans really do appreciate and value the presence and interactions with other humans, and at the end of the day those interactions will serve as guardrails against the complete en- and bull-shittification that AI promises to accelerate.

Examine your own life and your own interactions and deepen your own understanding of what you value, and use that understanding to enhance your mental model of what is to come.
Not trying to bash, honestly curious; why not just use python?
Already in game! :)