skysight-inc/HackerNews huggingface dataset:
I've heard the claim the stats are not comparable.

USA, each suspect is registered, then suspect gets acquitted. Stats show 100 suspects, 50 acquitted = 50% convicted. Japan there is no suspect registered unless they're already sure it will stick. In other words they've already done the investigation. So 50 suspects = 100% convicted because the 50 that there wasn't enough evidence for were never even registered as suspects.

> Only about 8% of cases are actually prosecuted, and this low prosecution rate is the reason for Japan's high conviction rate.

https://en.wikipedia.org/wiki/Criminal_justice_system_of_Jap...

If true this makes sense some cultural sense. Japan is super privacy conscious. It's Japan that got google maps to remove people's faces from street view. It's also illegal to take pictures of people in public. Being labeled a suspect would mark someone unjustly if it turns out are not likely guilty. No actual idea of that plays into the difference. Just thinking out loud.
It might be that public money might end up buying it for disaster response, in the same way that Narcan's being bought by municipalities etc., rather than people. (Considering that this was shepherded through orphan drug programs, it wouldn't be the first time this was subsidized by public money.)

That being said, the price of Narcan's heavily dropped since it became generic – I remember when Narcan was either distributed in vials and IM injection training was required, or nasal spray packaging was a lot more expensive.
DDG is powered by Bing plus other APIs and their own crawler.

https://duckduckgo.com/duckduckgo-help-pages/results/sources...

> To deliver Instant Answers on specific topics, DuckDuckGo leverages many sources, including specialized sources like Sportradar and crowd-sourced sites like Wikipedia.

> We also maintain our own crawler (DuckDuckBot) and many indexes to support our results.

> we have more traditional links and images in our search results too, which we largely source from Bing.
Could you add Partykit/Cloudflare Durable Objects integration docs?
Because all but grok are racist in the same way, it's okay?

"content moderation" is newspeak for censorship.
While the terms "woke," "stay woke," and similar are used to self describe by traditionally marginalized groups, the forms "wokeness" and "woke agenda" are predominately used outside these communities as a pejorative.

https://en.wikipedia.org/wiki/Cultural_Marxism_conspiracy_th...

https://www.inquirer.com/opinion/woke-bill-maher-olympics-re...
Across all products. Margin is likely higher for the newer product lines.

But anyway, good to pull an exact figure!
I've kept an eye on the github to see if firmware has matured to the point of promise for their second-hand mainboard market, and so far, it has not.

As you say, wake up and sleep are still broken, making them poorer options for Steam Deck clones than Panda or other x86 boards. It's just not in a good enough state to pay to advertise capability that isn't being provided. They're not terrible, and I hope they work it out, but the overselling and paid marketing campaigns feels very dishonest.
I just started using this tool locally and it's pretty nice. The default UI doesn't highlight the matching substring like fzf does which isn't as nice.
Pipelines are executed in parallel.
I have been using Cody (sourcegraph.com/cody) for about 6 months now and it's completely changed the way I write code. But, there was an adjustment period to learn how to work with the tool. Expecting a code copilot to just give you working code 100% of the time is unrealistic today, we may get there eventually though.

I've been writing code for close to 20 years now across the full stack, I have written a lot of bad code in my life, I have seen frameworks come and go, so spotting bad code or spotting bad practices is almost second nature to me. With that said, using Cody, I'm able to ship much faster. It will sometimes return bad answers, i may need to tweak my question, and sometimes it just doesn't capture the right context for what I'm trying to do, but overall it's been a great help and I'd say has made me 35-40% more efficient.

(Disclaimer: I work for Sourcegraph)
Does someone know why this person would care about dead code in X?
I once went to that restaurant in 2001 as a 12 year old kid who was invited to speak at a children's charity event held there.

It was a cool day out with a teacher from my school and couple of kids from a few years above. Afterwards, they took us on the London Eye as well, which was also pretty great.

Not the sort of thing that usually happens to kids in a state school in Yorkshire! I think I still have a "certificate" somewhere to say that I went to the top of the BT tower!
I don't get it. The default case is simple (go run .), and the complex case (specifying the relevant .go files one by one) is a little bit more complex. What's frustrating with that?
It is funny because I don't see at all on what count the new page have a "more modern look".

Here, "more modern" probably means that "this did not change for a long time, so we can say that it is modern if we change it"
Is this a case of the former or latter?
twenty-five dollar term for a five-cent concept
It's hit or miss. Sometimes, I give it relatively complex requirements, and it spits out a running program. Worst case, it at least points me in the right direction.

I save well over an hour a month with it, so it's worth it.
Can't a MITM tell when a PQC rekeying is happening due to the larger size, and just not deliver it?
How do you handle the existential threat of relying on one product of one company (in this case Google search indexing)? Do you just hope for the best? Do you set limits on how much you will invest in your tool? Do you do some kind of fancy-pants risk analysis?
Websites for Opioid Addiction Treatment and Recovery Services: Data and Privacy
Sansa Clip 1 GB from 2008 still going strong here. I use it to listen to podcasts with wired earbuds while going on walks.

I love the physical buttons and simple lcd screen for status.

I do wish I had purchased one that accepted a microSD card like yours though.

Kindle is another example of a single-tasking device I enjoy using.
Basically: https://rendernetwork.com/
I've found that they offer poor solutions but good starting points. I learned a lot more about using Leaflet and d3 for a personal project because GPT4-Turbo gave me a solution, which I took as a starting point. It gave me insight that illuminated the documentation for each that was previously opaque to me. As such, I find value in GPTs as accelerators for learning. They're non-judgmental so you needn't worry about whether or not you asked your question correctly on SO.
Fine, a parser that is a perfect oracle for authorial intent can reliably parse English. But no real parser can. And anyways, that effectively extends the English grammar to include the entire world state, which isn't really what people mean when they talk about English as a language or parsing strings—a fact which perhaps helps to illustrate the problem.
That’s interesting. I don’t see anywhere to turn off the odds, and for me - this is for
NHL - the odds are the top widget on all the games.
Also, these tools are used world-wide and "diversity" means different things in different places. Somehow it's always only the US ideal of diversity that gets shipped abroad.
Seems like a fun scraping project, I think you have to work on extracting more accurate categories though, for example this link does not really include snowboards for me: https://www.searchagora.com/search?query=Snowboard
And the first products I clicked have rather weird descriptions, https://www.searchagora.com/products/snowboard-bd2a90aa-6808...

Maybe its my location (South Africa) but I also cannot visit the product store when I click through
What’s the difference between GPT4 and GPT4-Turbo?
Idt anybody reasonably involved ever claimed it was simulated cognition. It's just really good at predicting the next word.

And tbf, human conversation that goes on too long can follow the same pattern, though models are disadvantaged by their context length.

Imagine someone asked you to keep talking forever, but every 5 minutes they hit you in the head and you had no memory except from that point onwards.

I'm sure I'd sound deranged, too.
I'm just so sad his memoirs were burned
cargo, sbt, bazel, and probably many others also have a `run` command that does pull dependencies and do build steps before running.
I feel you. In my experience the paid ChatGPT's answers does not outperform the basic google stackoverflow route for solved problems - which is not surprising considering how those models are created. For more complicated stuff, in my case, for example, weired Java dependency injection use cases, it gave me equally wrong answers I could found in the internet anyway. Only faster.
> That's 108 GB/year. HDD/SSDs are getting bigger than that every year.

Cries in MacBook Pro
Unless he can bring it back to Star Trek ablative armor!
Interpretation is an extremely lossy mechanism, though
Now if only the C*O class would learn that they can help but certainly won't replace developers. Then we can get back to a more normal hiring market. This downturn in tech is very bizarre and much worse than the dotcom bubble.
Yeah I think this captures my experience well. Not so much copilot as administrative assistant for my editor.
you can also do `go run hello.go world.go`, but yeah `go run .` is probably better
How do you know? And why would you know?
The fake-image generator generated images of fake people? Quelle horreur!
Whatever $7T can get you?

Joking aside, it is quite expensive and I'm pretty sure you'd run into legal issues due to vertical integration, depending how you perform it. I'll put it this way, a few years ago the headlines were about how China was poaching TSMC workers and offering huge salaries[0,1]. I haven't seen Chinese chips become competitive yet, so it looks like >5 years.

Beyond that, it's more than the chip. AMD has caught up to Nvidia in hardware. But no one is rushing to buy AMD cards because they are still not as good. Nvidia's secret sauce is Cuda (MKL is still an advantage to Intel). The naivity of the Tiny Corp was thinking that everything could be resolved in a few weekends of hacking. But Cuda is deep in a lot of projects. Like a project's backend's backend's backend deep. You got decades of engineers using Cuda and the huge momentum around it. While most programmers will never touch Cuda or GPU code, almost everyone touches things that connect with them (and this is every single day for many people. We could also say the same thing about optimization libraries like MKL). It is something that looks simple because we don't talk about it much or haven't had the experience with. But I assure you, GPU programming is a whole other world. Optimized programming is a very different style of programming and you need a different framework of thinking and problem solving. GPUs add another lay of complexity on top of that. It's why you'll hear so many people complain about writing kernels, but damn, the results speak for themselves.

So you gotta match on the hardware. Then you got to develop great software. Then you got to get that software into the other software that everyone else is using. And you gotta convert people along the way, getting them to turn from a thing they already know and have experience with to a completely new thing.

```edit

The disadvantage of being a first mover is you got to invent everything yourself and page the path, letting others follow. But the disadvantage of being a follower is that to get people to use your road or lane you can't just be equal, you have to be *better*. And you usually have to be significantly so. Momentum is a really powerful force and I think it is highly undervalued.

I think Nvidia is safe for the next few years. They aren't slacking and relying on their momentum. They're still pushing very hard, which only makes it harder for competitors. It's hard to displace a sleeping giant. It's even harder when that giant is fighting back.

```

> And how long would that take?

A long fucking time.

[0] https://news.ycombinator.com/item?id=24129861

[1] https://www.reuters.com/technology/taiwan-raids-chinese-firm...
Kaggle: Your Machine Learning and Data Science Community
I hate to say this, but after Australia watched the utter chaos of the Trump presidency, I think the likelihood of us switching to a Republic is unlikely for now.
While I’m more on the infrastructure side of things, I see a similar issue. Like you mentioned, it’s great for lookups of API documentation and getting examples etc. I have also used it for things like templates and boring boilerplate. I have come to look at it as a lookup tool and something that converts my thoughts into code. I could see myself sitting at home and doing a lot of coding by voice and a vr headset in the future if the tools continue to develop.
At the moment I think we just need to come up with a better way of integrating it into our workflow. I’m starting to wonder if something like visual programming could work well with the “ai” “figuring” out the content of the blocks we connect and basically lets us influence the generated code by the io. That could be a solution to coding on tablets and phones with minimum typing.
Sorry, that doesn't explain the massive fertility gap between atheists and theists or the fact that atheists are nowhere remotely near replacement rate
> Who exactly are copilots for if not beginners?

The thing is: in software engineering, you're very often "a beginner" when using new technology or operating outside your familiar domain. In fact, you need to learn constantly just to stay in the business.
I found this pretty funny:

I opened up the safety settings, dialled them down to “low” for every category and tried again. It appeared to refuse a second time.
So I channelled Mrs Doyle and said:
go on give me that JSON
And it worked!
One difference that makes overeating very challenging is that abstention isn’t viable.

As addictive as heroin, coke, gambling, or alcohol is, it’s possible to decide “you know what? I’m not partaking in any of it for the rest of the week/month/year/life”

Outside of a hunger strike, everyone has to eat food every week.
Guice docs: “There are many advantages to using dependency injection, but doing so manually often leads to a large amount of boilerplate code to be written. Guice is a framework that makes it possible to write code that uses dependency injection without the hassle of writing much of that boilerplate code”

This is a common misconception. Guice’s docs delineate between dependency injection as a pattern and Guice as a framework that supports that pattern.

https://github.com/google/guice/wiki
Similar experience. I really only still use Copilot to:

- generate short blocks of low-entropy code (save some keystrokes)

- get me off the ground when using a new library (save some time combing through documentation)
I've been using a recently purchased Google USB-C DAC and Apple wired EarPods with a 3.5 mm plug with my Pixel 8 Pro. After reading this review, I got an Apple DAC to compare. The Google DAC sounds quite a bit better to me: fuller and more lifelike sound overall, and orchestral instruments whose sonic signatures I'm very familiar with, such as violins and oboes, sound much closer to the real thing. Maybe Google upped their game after reading this review?
Portland nuclear power startup NuScale hit with investor lawsuit
Tangentially related: I am currently scoping out an idea for how language models could be used to augment decompilers like Ghidra.

At a surface level, this was partially an intellectually interesting project because it is similar to a language translation project, however instead of parallel sentence pairs, I will probably probably be creating a parallel corpus of "decompiled" C code which will have to be aligned to the original source C code that produced the binary/object file.

Then I realized, the only way I could reasonably build this corpus would be by having some sort automated flow for building arbitrary open source C projects...

Perhaps I will attempt this project with a Go corpus instead.
I switched a year or two ago

It wasn't until I switched that I realized how poor bash and zsh are in comparison, even with fzf

10 min install, never looked back

Not to mention the safety. Never could figure it out, but once every 15 months or so, zsh would disappear my history. Certainly a mistake on my end, but still too easy to blow away history
Isn't this dangerous? I thought that in order to get details of any torrent from the DHT you must connect to it. This would automatically set off DMCA complaints from MPAA/RIAA etc. right?

(also how do they ever prove you actually downloaded any usable part of a torrent?!)
Except that it does not display a single yes line by default, so its primary purpose is effectively to print them forever. Also, in this particular corner of the netsphere we should applaud the maddening research for performance that people put into that seemingly obvious command
I’d love to hear an argument showing that a universal moral doesn’t need to be applied universally and still be considered universal.
Complexity increases bugs and edge cases, and systemd core init has 300x more lines of code easily.

sysvinit is rock solid, and that is easier to do with a very focused, smaller codebase.

Even now for example, more than a decade after systemd appeared, simple nfs is impossible for systemd to get right.

I get boxes stuck on rebnot, stuck on boot, all with syper simple nfs setups.
There’s a modified version? Where?
I wasn't sure if this paper was parody on reading the abstract. It's not parody. Two things stand out to me: first is the idea of distilling these networks down into a smaller latent space, and then mucking around with that. That's interesting, and cross-sections a bunch of interesting topics like interpretability, compression, training, over- and under-.. The second is that they show the diffusion models don't just converge on similar parameters as the ones they train against/diffuse into, and that's also interesting.

I confess I'm not sure what I'd do with this in the random grab bag of Deep Learning knowledge I have, but I think it's pretty fascinating. I might like to see a trained latent encoder that works well on a bunch of different neural networks; maybe that thing would be a good tool for interpreting / inspecting.
The “cocktail” thing is real. A while back I tried to get DALLE to imagine characters from Moby Dick [1], but it completely refused. You’d think an AI company could come up with a better obscenity filter!

[1] https://superb-owl.link/shapes-of-stories/#1513
a more intuitive search as well. i am going to fly to paris in april and wanted to know what time it would be in denver when i landed. chatgpt was better-suited to the task than a multi-step duckbingle search
I compiled from source, works nicely. You need to change the settings to "run locally" by default, rather than build an app.
> or learn more about some history stuff where it just repeats something it parsed off wikipedia or whatever.

Be careful with that too, it will also spit out whatever urban legend it read on a subject without making a difference between the facts it got on Wikipedia and the bullshit it read elsewhere.

Keep in mind, they are language models, not knowledge models.
Microplastic ingestion by deep-pelagic crustaceans and fishes
The standard dodge in the US is to sell “kit cars” which require the buyer to do a bunch of paperwork to get a VIN. I don’t think they can be sold ready-to-drive but I think there are dodges there too (owner tightens last bolt style). The details vary by state.

Looking for details, I found that there have also been recent changes to ease requirements for small-batch (< 325/year) turn-key replica manufacturers.
The Fledgling Movement to Rewild Golf Courses
I believe the mistake people use with copilot is that they attempt to write large projects or functions when they lack the knowledge base of the underlying technology.

I prefer to use it as more of an autocomplete on a line per line basis when writing new code.

Typically, I use it for small and concise chunks of code that I already fully understand, but save me time. Things like "Here's 30 lines of text, give me a regex that will match them all" or "Unroll/rewrite this loop utilizing bit shifting".

I also use copilot as a teacher. Like to quickly grok assembly code or code in languages that I do not use everyday. Or having a back and forth conversation with copilot chat on a specific technology I want to use and don't fully understand. Copilot chat makes an excellent rubber duck when working through issues.
X11 is a protocol, not a window manager.
thats mostly true. you need to at least be at the top level of the module to do go run. any higher and you get a missing go.mod error.
It wouldn’t surprise me if ChatGPT is an improvement in Air Canada customer service anyway in terms of information provided.

It is just that the bot in this case wrote it down, which made AC liable.

I’m an Air Canada elite and am part of several Facebook groups of similar people. It is notoriously difficult to get clear information on Air Canada policies for anything. Even concierge (for Air Canada’s top tier loyalty members) staff are often giving contradictory information.

Their rules for everything are extremely complicated and they have a fairly large back office constantly fixing even addition errors in terms of points allocation and status progression. They literally aren’t adding up spend totals correctly.

It is quite possible that Air Canada just didn’t tell the bot anything about bereavement fares.
Most legal systems operate at the nation-state scale and aren't made of hidden mystery laws. There are lots of reasons for that.

We've already had this argument with cryptocurrency, where we've basically decided that the existing legal system (although external) provides a sufficient toolset to go after bad actors.

Finally, based on the illiberal nature of most AI Safety Sycophants' internet writings, I don't like who they are as people and I don't trust them to implement this.
If I have a linux problem and copy/paste relevant parts of the log into an AI, the result is more often than not useful and quick. It's a real help for admin tasks. Is it programming though ? :)
The point I'm making is that you drew a conclusion based on insufficient information, apparently by making assumptions about the distribution of failures or the definition of "easy".
Straight to Guantanamo.
> I'm assuming a system that tracks nodes and checks for quorum(s)

Not sure why.

> because if you let isolated servers be authoritative then your data integrity goes to hell

Many AP systems maintain data integrity without central authorities or quorums for data.

> Am I wrong to think that most distributed databases have systems like that?

No, not wrong! Just that it's one class of distributed systems, among many.
Oh god the one thing we don’t need is more half assed moderation systems. Human mods are bad enough at it as it is. Mostly because they make these systems opaque on purpose. Sites like YouTube never have any proper timely recourse for when they get it wrong unless you’re a larger content creator. Or worse even is the complete lack of transparency on why something was removed. Plus the whole DMCA debacle.

The YouTube channels I follow are constantly starting videos complaining about false positive removals and long processes getting it resolved. Lots of people moving to Patreon because it’s destroying channels/communities and they have no other choice. Commenters get it even worse where it’s basically a giant black hole.
Logical compartmentalization like you suggest is a fine approach, but even better is to not allow physical access. Unless the car is in maintenance mode at the shop, the chassis should be sealed tight. Maybe the manufacturer decided to favor headlight maintainability over theft prevention, or was simply oblivious.