skysight-inc/HackerNews huggingface dataset:
If it's really trained exclusively off of HN comments, I expect most of the bot's responses will evade the actual question but spend several paragraphs debating the factual specifics of every possible related tangential point, followed by an thinly-veiled insult questioning the user's true motivations.
Depends on the bump. If I heard some metal-on-metal or metal-on-road scraping on a car, I'd pull over and inspect.

If I felt a bumper or tire bump when I was parking I would not care.
Can anyone help me to guide some tutorials using GPT-3 model on a certain dataset. I am a Python programmer.
Yes, don’t post on online forums.
Maybe it helps that I pay for Google Workspace, but my pretty well known emails do not really receive that much "spam". However, it depends what you consider spam and I have a pretty strict definition to be automated junk/phishing messages I never consented to receiving. I also include non-"junk" mailing list messages (some semblance of not being a scam or coming from a semi-legit org) that I either never consented to.

I imagine for a lot of people they, unknowingly?, subscribed to a lot of things they don't end up caring about and never try to unsubscribe. In Gmail they can even automate this for you to some extent. And I am pretty sure they track that information and if a mailing list isn't respecting those unsubscribes their email is going to start being dropped entirely.

Consider the possibility they someone is subscribing you to nonsense? I think Gmail's filters work pretty well. In fact I am very surprised how well they work because for a while I was getting a ton of spam in the inbox and losing important messages (~max 3 years ago). Now I can't remember the last time it happened.
I'm in the middle point of a similar journey. I got a 5700xt for a steal, and ran GPT2 on it to see if I could. It worked, but just barely.

It now currently drives my primary monitors, and I keep a second GPU, a 1080ti, plugged in and passed through to a VM. I can then operate the 1080ti as a "program" from my desktop, which is fun, but somewhat limited given the space constraints in my case. Extra benefit is it can also be used for gaming. Next steps might be to toss 3090s in a dedicated chassis under Proxmox, but then I lose the part time gaming use case.

The path to >40GB VRAM as a hobbyist is tricky, but I have to remind myself that even having it as an option is wild.

What are you doing with your 3090s?
> Outside a black hole there's vacuum, inside a black hole there is… Well, we don't really know but the mass from which it formed has gotta be somewhere, right?

Not in the standard black hole model with a singularity at the center, no. In the standard black hole model, the collapsing matter that formed the hole hits the singularity and is destroyed. The interior of the hole is vacuum, just like the exterior.

In the alternative "black hole" model being used in the proposed hypothesis for dark energy, no singularity is ever formed; instead, the collapsing matter undergoes a kind of phase transition (probably induced by quantum field effects of some sort) that changes its equation of state from that of normal matter to that of dark energy. This stops the collapse and creates an object that, at least on time scales much shorter than the Hawking evaporation time scale (since these objects will eventually evaporate by emitting Hawking radiation), looks from the outside like a standard black hole, though it isn't. The dark energy inside such objects, it is proposed, could drive accelerated expansion of the universe.
The Standard Ruby VS Code Extension
Have you reported it? I've always found that reported issues get looked at and updated accordingly.
I started buying the really expensive pasture raised chicken eggs for ethical reasons and can't go back to normal eggs anymore. They taste so much better. I'm sure yours are even better.
MIT Introduction to Data-Centric AI
I recently bought a few AirTags to track our vehicles—two bicycles, a motorcycle, and a car—and have been fairly disappointed.

The inability to pair to a family plan (or even just multiple individual accounts) makes it useless for anything we share, like the aforementioned car. Ditto for our pets, which would be at least somewhat appealing if that weren’t an issue.

I’ve put them on the vehicles we don’t share, and have been mostly amused when I ride somewhere and walk away from the bike. I suppose it’s good I haven’t really tested it any more than that.

I’d order quite a few more if we could share them, but as it is I’ll even replace the ones we have in use if I happen across an alternative that fits the bill.

I also removed the speakers[0] to make them slightly harder to pinpoint in case of actual theft.

[0]: https://www.youtube.com/watch?v=AY-CGheQ53M
Sadly, they do not. I've got the full Family Sharing thing going with Apple, Airtags are notably absent from it.
This doesn’t make sense. VS Code works fine on a 2010 iMac that’s so old that Apple doesn’t support the OS anymore.

I’m starting to see less software support, though. I should put Linux on it.
It is hard to put yourself in other's people state of mind, and to reason that it's because they must be idiots is not really the proper way to go. I don't have any advice to give on religion, if it's not your thing fine, but painting people with too broad a brush may lead to misuderstandings, conflicting exchanges, and ultimately animosity for no good reason

I can't believe something that isn't true. It's not about them being idiots, it's about the sheer lack of evidence.
It requires handing over quite some data, but here in Germany, I can get a digital PDF receipt from my main supermarket. There’s a parser on Github [0] that I contributed to (found it when I searched before writing it myself :D), and I use it to track price changes of items I buy. The situation could be a lot better, but at least it gives me some fun graphs.

[0]: https://github.com/bietiekay/REWE-eBon-Parser
Stack Allocation for OCaml (2022)
ps2 keyboard/mouse support is still there on modern x86; but you have to carefully shop for motherboards. And if you also want a ps2 mouse, you'll probably need a splitter, 2x ps2 ports on a single board seems to be no longer available.
The design on the Personal Jukebox is rough. It reminds me of those cheap no-name PDAs from the late 90s/early 00s that were less capable than the earliest Palm and Newton models and more like toys than tools.
It looks like he's running the Musk - Twitter playbook. One notable difference seems to be that instead of cutting hard, he's doing multiple small cuts. I think that's not the best strategy. If I were a Meta employee I'd be looking for other pastures.
ads and pay-to-play
https://archive.is/SajD9
The key word in your statement being:

> should

The trouble with this answer, and the people who accept, it is that they assume the market is fair or at least pretend so they can ignore the inherent problems.

At this point it should be apparent to anyone that markets are rigged, and anyone sticking to the idea of self regulating markets should not be trusted.
The trouble with this answer is that it makes two incorrect assumptions:

Companies regularly attempt to interfere with or harm any means of regulation, governmental or otherwise. Companies stifle competition that might regulate their behavior both legally and illegally without fear of consequence.

* Even if your answer held true, which is absolutely does not, the inherit problem with it is that there's an acceptable rate of failure before correction takes hold and that the losses are acceptable.

There is irreparable harm that occurs in many industries and the morally acceptable limit of zero is well below the market's acceptable limit.
Hi HN! I’m back with another “what they don’t teach you in school” style course that I’d love to share with the community. (A couple years ago, I was part of the team that taught Missing Semester, an IAP class that taught programmer tools that weren’t covered in any CS courses at MIT: https://news.ycombinator.com/item?id=22226380.)

MIT, like most universities, has many courses on machine learning (6.036, 6.867, and many others). Those classes teach techniques to produce effective models for a given dataset, and the classes focus heavily on the mathematical details of models rather than practical applications. However, in real-world applications of ML, the dataset is not fixed, and focusing on improving the data often gives better results than improving the model. We’ve personally seen this time and time again in our applied ML work as well as our research.

Data-Centric AI (DCAI) is an emerging science that studies techniques to improve datasets in a systematic/algorithmic way — given that this topic wasn’t covered in the standard curriculum, we (a group of PhD candidates and grads) thought that we should put together a new class! We taught this intensive 2-week course in January over MIT’s IAP term, and we’ve just published all the course material, including lecture videos, lecture notes, hands-on lab assignments, and lab solutions, in hopes that people outside the MIT community would find these resources useful.

We’d be happy to answer any questions related to the class or DCAI in general, and we’d love to hear any feedback on how we can improve the course material. Introduction to Data-Centric AI is open-source opencourseware, so feel free to make improvements directly: https://github.com/dcai-course/dcai-course.
> Quite literally the appellate court cited that they should have brought the claims earlier.

didnt they bring claims before the election about it that got thrown out because no injury yet? Or am I confusing things?
I never made that connection before but you're absolutely right! The whole "just take a shower, comb your hair and dress nicely" dating advice is exactly like the "just walk up to the owner of the company and give him a firm handshake and you'll get the job!" career advice. It's coming from a place of good intentions, but from a reality that no longer exists.
"He only went and did it... " !
Strange, I have iCloud instead of Gmail, but I'm also receiving a humongous amount of spam recently too, and while (so far) it goes to the "Junk", it's still a bother when I check daily for missed messages.

Before I would get about 3 or 4 "Junk" messages per week, tops. Now it's more like 20-30 per day.

I wonder if spammers figured out some new method of not being blocked.

EDIT: Someone else is getting the same emails I am: https://news.ycombinator.com/item?id=34898655
If someone lives to be 66, there is a good probability they would live another 10 or so years.

That’s true, but [1] says men in Russia are expected to live much less than other countries at any age. For example, a 45yo male in Russia is expected to die at 72.4, which is 10 years less than top-10 countries and worse than 138 countries. For 65yo Russia is ranked 109.

[1] https://www.worldlifeexpectancy.com/your-life-expectancy-by-...
Am I correct in understanding that this doesn't actually generate answers based on HN, but instead finds semantically-near comments and sends them verbatim to GPT to summarize? Seems like a good enough hack, though I'd love a detailed writeup of how to actually specialize an existing LLM with additional training data (like HN).
I am referring to this line in the article:

> We currently have separate accounts, though, and aren’t interested in fully merging our clouds.

It seems like they are making out a Family iCloud to be a much bigger thing than it actually is.
> Gmail sometimes lets through particularly obvious spam, of the kind that heuristics could definitely catch.

I administer email for the company I work for. You might be surprised how often perfectly legitimate email looks a hell of a lot like spam.

- individuals who can't spell and write stream of consciousness near-nonsense
- companies forging the from: header with the target's own address
- companies sending mass mail with red flag keywords from rando cloud instances
- small companies using personal gmail accounts and including any kind of money-related term

...to name a few. Spam is a hard problem and marketers and scammers (same diff) are working hard every day to defeat any system you put in place to stop their bullshit.
We've been very happy customer at https://github.com/windmill-labs/windmill, all of our docker builds are on depot and it replaced our fleet of github runners on hetzner :)
There was no iTunes music store at that time. Apple was advertising how fast iTunes could rip music from a CD and in my experience it was definitely optimised for that.
That was mentioned in the article
In the « Ingesting and filtering HN corpus » … 30min …
Indeed. Designing software so that it helps humans to eyeball stuff where humans eyeballing stuff might help is really good.

For example in that incident in Ireland where crew erroneously told their jet plane it was very, very cold, and then (cold air is dense, less power needed) they barely had enough thrust to take off before they ran entirely out of runway - that was partly caused (Swiss cheese model) by the pilots being issued with software that didn't make it easy for them to cross check the facts they can eyeball. Is it certain they'd have realised if their software did show this information - like the software issued to similar crews with other outfits? No, but that's one more opportunity for everybody to not die, and the whole point of the Swiss cheese model is that lots of things have to go wrong or else you're fine.

One of the other potential mitigations for that incident illustrates where human eyeballs don't help. In principle a human pilot could realise they aren't accelerating enough. In practice humans are lousy at estimating acceleration to the tolerance needed so this isn't effective unless you use the same strip so often that your brain learns exactly how things ought to look.

However thanks to GPS a machine can measure acceleration very well, and it can know how long your chosen runway is and what its take off speed is - so it can estimate if you're accelerating enough and the latest models can announce "Caution: Acceleration" early in the take off roll, before V1, which means the crew can abort and check why they didn't have the intended acceleration - regardless of the cause.
i'm just wondering how Meta will fair IF the metaverse doesn't take off the way they expect. I mean it's such a big bet. Google has made many bets in the past and some worked but most did not.
+1

Glad someone else brought up this topic and phrased it way better than I ever could have!

This other comment further down puts it very well, too: https://news.ycombinator.com/item?id=34892724

> If you remove the ability to solve it in your build system the complexity will move to other systems.

Adding to this: I think one of the main limitations of purely declarative (e.g. YAML-based) configurations is that a declarative DSL (as opposed to an imperative DSL) means you (only) get to use config options the inventors of the config language have thought of and implemented (i.e. "defined"). You cannot put into words things that require vocabulary that doesn't exist in your language.

Meanwhile, an imperative language gives you the ability to define on your own what you would like the machine to do.

As an example, consider Gitlab CI configs (YAML-based) or Ansible playbooks. In both cases, once you hit the boundaries of the DSL spec (which, in my experience, typically happens on day one) you can't do anything other than 1) give up or 2) leave the realms of the DSL and as you say,

> move [the complexity] to other systems
> Every major OS has Spotlight-like UI these days. You can thank iTunes for the search-as-filter paradigm.

I think your Apple bias is clouding your memory.

Apple certainly didn't invent the Spotlight UI. Quicksilver did it before on OS X, and my memory is hazy, but it also might've been inspired by another app.

iTunes also didn't invent the search-as-filter paradigm. I remember using something similar on foobar2000 in the early 2000s, and it might've been available even before in some Winamp plugins. Again, hazy memory, and it's difficult to track down these things now with any certainty.

I'm not arguing against your love for iTunes, but I think you're overstating its influence on software design.
It's such a shame, when they bought Postini[0], it was the pre-eminent email security product on the market, and was largely part of Gmail's anti-spam reputation. Since they discontinued it as a commercial concern, it seams to have languished.

[0]https://en.wikipedia.org/wiki/Postini

Edit: The controls in workspace are still good, but in all reality some kind of SEG is advisable.
Most are on IPFS, but about 10% are 100% on-chain
For trails, this is the equivalent
of typing in "Main Street" and presuming the first result is unique and/or the result you're looking for, without considering city, county, or even state.

I can't begin to estimate how many trail names might include the words "cabin" and/or "loop".

Just further indicates the level of incompetence and ill-preparedness here.
Definitely agree. It's been more like two years for me now. I get spam in my inbox, and similar emails from the same senders in my spam box too. The spam filter is definitely working, but it's leaking badly.

In my inbox now, obvious spam, subject "Verification", sender "You're Approved" with gibberish in the body. Auto insurance spam, also gibberish in body. A new one, "Emergencymail.org" and that's just in the last hour.
I don't know what any of that has to do with this story. It just says the AG for the state spent thousands of person-hours on his staff to investigate election fraud based on any and every angle they could find and ended up with nothing which he kept under wraps for as long as he could.

There doesn't seem to be much mystery to what happened or why.
I know it's not quite analogous, but I fine-tuned GPT-3 on a small (200 examples) data set and it performed extremely poorly compared to the untrained version.

This surprised me, I thought it wouldn't do much better, but I wasn't expecting that specializing it on my target data would reduce performance! I had fewer examples than the minimum OpenAI recommends, so maybe it was a case of overfitting or something like that.
Isn’t that just any multithreaded OS running on a single core cpu?
Very interesting, great to see a fresh take on what a design tool can be! For some reason I'm not hearing any audio when I play the video on noya.io on Chrome/MacOS.
Big thanks for creating this. A great simulation to show anyone that their knowledge of how the atmosphere work actually have some applications.
Amen to that. The need for gamers to be on the hardware treadmill is no longer relevant. Five+ year old hardware can still run basically anything, albeit at reduced fidelity.

I keep eyeing a new build, but realistically, I know it’s just a vanity project because so few games will take full advantage of the better hardware. My favorite games in the past years could have run on ten year old hardware.
I'm in my 40s.

Well, I'm not saying I'm unattractive, just that I won't stand out in a crowd. I'm the average guy. I'm healthy, not overweight, I shave regularly and wear Tommy Hilfiger instead of Target (although they might sell TH at Target, haha).

Here's how I know it: it's the amount of effort I have to put in getting a mate. I said I learned how to do it with a lot of trial and error, but that's not the case for a few of my friends. Women come to them with minimal effort (I've witnessed it many times). Not the case with me, I have to initiate it and conquer every inch of territory, so to speak.

I also had a hard time on dating websites when I used to do that. Few responses, almost zero girls reaching out organically, but a high success rate when getting a response (however that is to be expected, I suppose).

For a math analogy, I don't get the A because I'm a genius and finished the test in 10 minutes without studying. I'm the guy who studies a lot to get the A, so not a "natural", just someone with enough potential alongside learning to write the right things down.
> [1] Black Panther and the 3rd Star Wars trilogy were surrounded by some of the most vile harassment campaigns I've seen, for example

Or, movie studios have exaggerated the impact of (real, but not very numerous) internet trolls to protect their own egos from valid criticisms. The third Star Wars trilogy was an incoherent mess. And for reasons I still don't understand, the end of Black Panther was released in a rough half-rendered state. But the people making these films don't want to hear criticism of their baby, so online critics get dehumanized as "trolls". Rare instances of real trolling from the likes of 4chan get highlighted and blown out of proportion as a defense mechanism.
> ...represent a strategy of locking up wealthy households into the broader Amazon ecosystem.

I find this an odd but interesting approach, because I associate Amazon as being a bargain, low quality sort of brand. It's a good service, but it's definitely not premium. In some cases I'd say it borders on tacky and tasteless. This is not just about the product catalog too, it's site/app quality, Fire and Alexa devices, selling ads on Kindle lock screens, being completely shameless about service quality issues, AWS shipping services 2 years before they're actually any good, and so on.

Whole Foods probably isn't like this yet, although I haven't been in since pre-acquisition because there are only a few in the UK, and I don't know anything about OneMedical, but if Amazon's brand permeates into these, either visibly or invisibly, I can't imagine it going well.
10000%. If I hear a single new thing at my annual review there's a failure in communication somewhere. If it's feedback from my manager it's unacceptable. If it's feedback from a peer that's collected annually that's more understandable, but also we're all adults. If I'm making your job or life difficult, just tell me instead of narcing to my manager anonymously (this hasn't ever happened to me, but in theory).
The failure to me seems in outsourcing your child to a daycare, vs parents having flexible schedules to actually take care of your kid (either 1 with PT job or staying home FT, or both with flexible jobs). I understand this isn't popular in our culture these days, but I imagine it has many positive outcomes for the child and family.
If someone went to set your house on fire, empty your bank account and kill your family, I'm pretty sure "your life wasn't destroyed nor hurt in anyway. It just changed" would not be well accepted by you.
Luddites weren't afraid that they would be replaced by machines, they were skilled weavers who had already been replaced by programmable looms. Both their status/role in society and their income were significantly decreased as the available jobs switched from artisanal weaving to operating industrial looms in a factory.
The alleged behavior isn't a crime. Basically he made public statements in line with Trumpist allegations (implying that there were serious problems with the election), then failed to release the internal report finding that the election results were correct and its administration was perfectly routine (which isn't to say "free of all problems", obviously). That left it to his successor (a democrat) to release the report, which I believe happened fairly routinely.

It's... bad. It's spin. Doing it this way makes something that should be a public good (we all want fair elections, right?) into a partisan football. But it's not criminal.

FWIW: it's also not popular. Note that the reason for that party switch in the SoS office is that Brnovich lost his reelection campaign, owing in no small part to his engagement with fringe conspiracist politics. So in some sense he absolutely did get punished.
You're confusing cause and effect. The genetics did not emerge from the castes, the castes were an effort to entrench through religion the superior social status of invaders who were a different group with distinct genetics. They were not imposed from within by a faction of a unified group that subsequently diverged.