skysight-inc/HackerNews huggingface dataset:
// This sequence of events left a strange aftertaste: first striking observation was that there was no enough information

I find this to be a universal fact of the war in Ukraine.

I speak Russian natively and most of my family (dad and both in-laws) grew up in Ukraine.

So you'd think that compared to an average Westerner I could be well I formed about what's happening.

Yet I find it completely impossible. An amalgam of Russian sources will present a totally different tactical and historical picture than that of Western and Ukrainian sources.

I can chose to believe the later based on emotion and prevalent sentiment of where I live but objectively I don't feel confident going in either direction.

It's crazy to me that someone can feel certainty here with access to only one of the sides' information.

Perhaps and even likely this has been the case in every war but it's the first one where I am so accutely aware of it.
I used to use and recommend qiqqa for full text search, highlighting, and annotating pdfs and managing bibliographies but it seems like zotero has stayed the course and qiqqa wound down. Glad to see a solution still available!
Ask HN: Self-directed learning path for machine learning in 2023?
I want to learn machine learning, but, not in a hand wavy way. I want to go deep to understand and appreciate major works of the past, the present and future. Only way to do that is to understand the research papers and implement them on real datasets. For that I have to understand the math behind it.

I have calculus and some matrix algebra (not proof based linear algebra) background and I can program well.

Is there any guide equivalent to teachyourself CS but for machine learning and deep learning?

If not, then can you suggest open courses (preferably with assignments) or books from where I can learn both the required math and machine learning?
I don’t know your requirements but wouldn’t using software containers with a reproductible operating system (like nix), or even a simple image like Debian PostgreSQL, fix the predictability problem?
> I can’t imagine he’s so stupid as to not see that.

To repeat myself from another comment: haven't we hadn't enough examples of smart people being stupid lately?
Heh, I love a good dig at GCL.
The interesting thing about this is that it’s evident that many people don’t use spell check. I find it hard to relate as personally I can’t resist resolving those red underlines.
I was barely beginning to read when I got the manual. And it wasn't in my primary tongue. Illustrations showing how to connect the pieces and what buttons to press

[L][O][A][D] [RETURN]

Enabled me to start following the instructions without knowing any English. What a brilliant manual it was!
What does the chatbot say, when asked to do a complete course assignment question?
Thank you! Parent comment said "BSOFH" instead of "BOFH", which explains why the wiki article you linked did not show up in Google.
They don't specify GPT-4. The fact they generically refer to ChatGPT leads me to believe they're assessing 3.5. GPT-4 is significantly more competent of a model and while I won't speculate on it's math ability I'd want to see a follow up, specifically for GPT-4.
Sleeping on error is a valid pattern when combined with retries. Consider if that would be a long-starting external process that sets up the listener (or even a remote server spinning up). I.e. something we have no control over and that has no ability to signal us it's ready. In such case, sleeping a little then trying to connect (and repeating) would be simple, effective and economical solution.
Cue the “calories in, calories out” chorus in 3, 2,
Yes, you're not wrong. The Firebase rules have to be perfect for the app to be secure. Thanks for the heads-up, we'll make sure our rules are perfect :)
You post online though. Could you go weeks with human contact while not having access to the internet either?
ça m'a fait un choc de voir le domaine aujourd'hui :-P
Old man shakes stick
A proprietary extension for Semantic MediaWiki, called Project Halo, had been developped to extend the ontology management capabilities of the tool.

Still amazed at that video when I rewatch it.

[fyi, the company developing that extension was bought, and Project Halo disappeared in limbo]

https://youtu.be/WXmMHpHjG2o
Gaming companies sorta operate a merchant bank account to facilitate these transactions?

Wouldn't it be better to just use some payment gateway?
It would not be a control at all
> Lukashenko is Putin's puppet; Putin couldn't negotiate in first person without appearing as weak.

Ah yes, instead it was negotiated by the unpopular ridiculed Lukashenko everyone views as a clown. This makes Putin seem strong.

Also strong:

Putin in the morning: these traitors will be brought to justice, I authorize Ministry of Defence to use any means possible. I give you my word.

Putin in the evening: we drop all charges against this military coup (who also killed at least 12 soldiers furing their march on Moscow), and I give my word the Prigozhin can just go to Belarus.

So strong.

It's funny how putinophiles will try to contort reality to a ridiculous degree to find an angle to prove Putin is a superhuman playing 12-dimensional chess.

Now imagine any Western leader doing the same, and how you would ridicule them.
I've build a few Semantic MediaWikis in my past and share the concern about scalability. But also be aware that in many cases you might not need such a scalability like managing semantic data for all of Wikimedias major wikis in different languages. For small to medium sized companies or communities, I think SMW can scale well enough - depending on how you use it.

The advantage of SMW imho is still that it brings the semantic / structured data features right into the MediaWiki itself and that there's a big ecosystem of related extensions around it (like Page Forms). So far I don't know of an open-source information management system which comes close in capability to this. Setting this all up and maintaining it is difficult, though - I even had to start developing custom tools to assist me with that once it got more complex.
Purge files from a Git repository (including history)
"Pick a diverse basket of unhyped, sane stocks" sounds like "my trading strategy" because it's not at all specific or repeatable. It also just sounds like a homemade index fund that never rebalances.

If it were really that easy, individual investors and professional fund managers wouldn't lose to hedge funds in the long run for all of the history of index funds. You'd also see at least some evidence of skilled stock pickers at, say, hedge funds, and you don't.

In gambling, a few people beat the house. That's a guarantee of probability. In aggregate, the house always wins.
What nonsense. I've spent over a decade 100% focused on AI, and the broad consensus among everyone I've worked with is not to be that concerned at all. The only consensus is that a small group of self proclaimed experts who make a lot of noise is that they get lots of press coverage if they scream and shout making predictions based on zero scientific evidence.

We can understand the physics of greenhouse gases and take measurements of earth systems to build evidence for models and theories. (Many of which are nonetheless very inaccurate beyond short time horizons.) Show me any evidence for AI risk today beyond people's theories and beliefs?

The best predictor of the future is the past, not people's wild ideas about what the future could be. I'm not about to sit here feeling scared because there is more uncertainty that our matrix multiplies are about to go rogue. There are no AGI experts or AI risk experts, because we don't have any of these systems to study and analyze. What we have is people forming beliefs about their own predictions about systems which are unknowable.
I rarely see SQL Server being used alongside Next.js. But Prisma is quite popular in js land. There's also DrizzleORM, which is still relatively new. I'd recommend spending some time exploring both to see what fits you best :)

https://orm.drizzle.team/docs/quick-start

https://www.prisma.io/docs/getting-started/quickstart
It’s sad seeing so many comments saying they got paid while I didn’t! I was interviewing for their new privacy based browser, it was a C#/.NET desktop app role.
As if relying on Paypal by itself wasn't enough of a nightmare, imagine relying on Paypal directly linked to crypto stuff. Or is the value proposition here that Tilia somehow have a deal with Paypal to keep their users accounts open?
I agree that the data collection process wasn't ethical, and the professor should definitely be reprimanded for that. It's extremely sad that the coauthors weren't aware of this as well. And I feel terrible for the undergrads: their first research experience was publically rebuked for no fault of their own.

However, there is no shortage of projects with sketchy data collection methodologies on arXiv that haven't received this amount of attention. The point of putting stuff on arXiv _is_ that the paper will not pass / has not passed peer review in its current form! I might even call arXiv a safe space to publish ideas. We all benefit from this: a lot of interesting papers are only available on arxiv v.s. being shared between specific labs.

I'm concerned that this fiasco was enabled by this new paradigm in AI social media reporting, where a project's findings are amplified and all the degrees of uncertainty are repressed. And I'm honestly not sure how to best deal with this other than either amplifying the uncertainty and jankyness in the paper itself to an annoyingly noticeable level, or just going back to the old way of privately sharing ideas.

Maybe this is the best case scenario for these sorts of papers? They pushed a paper on a public journal, and got a public "peer review" of the paper. Turns out the community voted "strong reject;" and it also turns out that the stakes for public rejection are (uncomfortably, IMO) higher than for a normal rejection. Maybe this causes the researchers to only publically release better research, or (more likely) this causes the researchers to privately release all future papers.
Only you, a human developer can be truly creative. An LLM can only ever reproduce what it has seen before.
The brand "WeChat" is not as well known as you might think. In China, it's known as 微信 (Weixin), and most people in China have never heard of the WeChat brand.

I also think it's an understatement to call Weixin as ubiquitous as Google in China. There are alternatives to basically every Google service. In China, many times there is no alternative to Weixin. 支付宝 (Alipay) is sometimes a substitute, but in many cases only Weixin is supported. Want to order food at a chain restaurant? Want to buy tickets for a museum? Want to choose the song at a Karaoke bar? Need to fill out a customs exit form? Weixin is often the only option.
I take it they actually started in 2003?
Probably not easy to do that. Possible I would believe.
Your comparison with Conway's Game of Life is interesting, since that's inherently local.

More importantly, I'm skeptical towards non-locality because it is an extremely strong assumption with very weak effects: the only place it really shows up is in post-correlations between measurements of previously entangled systems, which notably cannot transfer any information faster than light (in fact, they require classical communication to even be noticed).
Moreover, the only way to get entangled systems in the first place is through local interactions.

By believing in non-local hidden variables you get a deterministic universe with a mysterious, otherwise undetectable ether that instantaneously notifies quantum entities that they should update their behavior.
By not believing in them, you get rid of the only n
on-local "phenomenon" in physics (really, more of an interpretation) but you have to accept that some things are fundamentally random.

Easy choice, if you ask me (or most of the physics community).
In most systems, if you simulate them for sufficiently long, macroscopic behavior depends on quantum effects. For example, if you simulate simple newtonian gravity on three bodies, your numeric precision quickly grows such that you need to know the position of the objects more accurately than Heisenberg allows.
New Version of Frameright.app Released
The fact that you’re here to tell is a clear sign that the impact isn’t so high as if it were a car.

Morons exist :-(
How does this site afford to pay for the GPT API?
Multiple languages have channels, I’m not sure why people only discuss this in terms of Go.

.NET and Rust are the first two I can name off the top of my head.
Do life hacks work? We’ll never know
Maybe, but there's no data to support one interpretation over another.

I believe that all quantum interpretations are incomplete and therefore wrong. Quantum mechanics is an abstraction over a deeper level of physics we can't measure yet.
nice! i'm actually building an app that will map&distill knowledge (with GPT) to create guided courses in domains like this. basically transform long-form courses/articles/textbooks into duolingo+messenger.

wanna help?
Anything new here from the other times this was posted earlier this year?
Argos Catalogue Kettle Pages, 1976/1985 (2017)
I take the final paragraph with a huge grain of salt, having had an older relative who lived through it describe to me the hugely aspirational atmosphere of the U.K. in the 1950s and 1960s.

We cannot deduce history from the pages of one company's sales catalogue, merely the changing fortunes of that company; nor from a piece of fairy cake.
Average Working Hours in Europe
I am intrigued by experimenting with nixos. For now, my current driver for workstations is arch, on servers rh-flavored or debian.
Everything is managed by ansible, plus persistent data is in backup. A lost server could reinstated quickly. Same for starting a new workstation.
I understand nixos can do this, too. And also I have read about an home manager in nixos, which I think is essential too.
Otoh, I'm not a developer. I think I do not need different versions of softwares. Maybe this is why I have not switched to nixos so far.
True. Go just puts them in a spotlight, recommending them as the synchronization primitive for many use cases.
Trading? No.

Investing? Yes.

My time-frames for returns are 2-5 years, while a small portion goes into invest-and-forget assets.
This would have been the best thing Atari had if it came out in the 80’s. Computer magazines would have gone crazy. Very nice work.
You realize location can easily be a proxy for protected classes such as race?

And suppose a location has been found with above average risk. To compensate, we increase interest rates in that area... making it more likely that people are unable to repay their loans, making the area more risky, increasing interest rates... the risk estimation algorithm essentially becomes part of enforcing and maintaining existing economic inequality.
To clarify, when I said this was the _conclusion_ of the memo, I meant that it was the literal closing statement (besides the one-liner/quip about GPT-4 not being able to earn an MIT degree).

I didn’t mean that it was the be-all and end-all of those CSAIL profs’ perspective(s).

The wording is still very suspect to me and seems like the Writing Center would have some constructive feedback for them (unless the meaning of words doesn’t matter).
SQL Server should do just fine. I use Vitess (MySQL hosted on PlanetScale) with Prisma for my Next app, https://debate.land. It works just fine with scale, but I have found myself turning to writing some raw SQL queries to optimize performance/run some nuanced aggregations that Prisma doesn't seem to have a way to handle. If I had to do it again, I'd probably use https://drizle.team. Seems to be a more performant ORM. But for getting started, either will suffice.
Please open source it.
Perhaps, but only if you can get the correct buzzwords in. Such "research" is rarely about the impact of the tech itself (although there are always people trying to actually apply it, e.g. as a teaching or therapy tool), but more a way to express some overall theory (or set of theories) in a different context, as if it were an observation that can validate the theory. So yes, they jump on fashions.

It affects other subjects too. I know people who've done a PhD "in" Harry Potter or Sherlock fan-fiction, but it's not about Harry Potter or Sherlock. After all, there's not that much to say about it, but they both started from some "theoretical" point of view, and then just wrapped those ideas around whatever observations they can make up about the subject.

AI seems difficult in that respect. It would need actual understanding. Without that, you can't really make observations about it the way you can make them about some book or a game. Otherwise, it stays restricted to checking a few dialogs with ChatGPT and commenting on that.

Here's an example from someone who did a PhD on second life about ... the MetaVerse. https://www.linkedin.com/pulse/building-betterverse-note-div...
I don't mean to downplay Magnus's achievements but wasn't he really more of a gym/comp climber? It's kind of a different sport. I don't think Magnus was ever as good on rock as Alex

edit: I'm wrong, Midtbo apparently climbed a 5.15b. I think Alex's hardest climb was 5.13d, but he also primarily pushes the limits on trad, so it's still not a straight comparison. For context, the hardest trad climb ever done is 5.14d which is 3 grades away from the hardest sport climb ever confirmed (5.15c)
Never skiied to instructor must be possible in 6 months if full time and fit before you start.
I think the tricky part is turning the in game currencies back into real world currency. Most online games have ways of generating currency from "nothing" - either by design or exploit.
As the other commenter noted, the waves where I was really afraid had some combination of shallow reefs or sandbars and strong currents. I’ve had a couple friends break their necks/backs at these places, but on milder days where it’s easy to get rescued and there are lots of people around. When I was in my darkest times I wouldn’t hesitate to paddle out by myself at these spots and take off too early/too late and hope for the best.

Honestly I never rode anything too gnarly, but I definitely was too much of a kook for some of them. Maybe I was overestimating the danger and it was beneficial overall?
I suspect that they do not care, given the hardline stance they are taking.
I'd assume that art thieves first find a collector who wants the piece and then steal it.
I want to know more about the app, share your contact
> fully licensed, regulation compliant

... in the US. There appear to be no licenses from anywhere else in the world[1].

A small detail that you'd think might be worth mentioning on the homepage, but AFAICT, they don't.

[1] https://www.tilia.io/licenses
Isn’t QQ similar?
Conversely, it makes me trust the author's expertise deeply. Our industry would be nowhere without furries.
Cf Wikipedia, it seems that indeed the support still exists: https://en.m.wikipedia.org/wiki/SMW%2B

Eventually I presume it all goes down to Michael Erdmann [@emwiemaikel on Twitter] having the right to maintain the codebase.
That's why storing your conf in a keyboard input device is so nice, works as long as you can insert your own keyboard. I think I might start doing that, but the systems I remote in to are so different can not be sure emacs/vim is there.

I would recommend a Raspberry Pico as a fake keyboard, it has 2MB of storage. But that all falls apart when you are not allowed your own USB devices...
krunker.io has done something really impressive in this space. I’d love to learn how their engine works and how it loads so fast.
I’ve just started using zotero again after 10 or so years, being back at uni for some further learning. I’m so impressed that zotero has remained useful and these plugins look super handy, will be giving them a red-hot go. Thanks for sharing!
It only matters in matters of free will and ethics. One actual scenario where it's relavant would be the discussion around the criminal justice system. If the universe is deterministic, how can punitive justice be justified?
I agree but not everyone thinks like this even at MIT, as you should know since you said that you’re an alum.
From 2007.
Nice! This seems to actually solve a problem in my workflow with Zotero: manage the _personal_ metadata around the references. How did I find the reference? What parts are relevant? Etc. Definately going to give it a try.
> Reputation (and blame doging) is far more valuable than cash.

There's perverse incentive at work, too. When you get to manage a project, your status rises, even if you fuck it up. Because the next time they need someone, they will look for someone with experience. "Surely, (s)he has learned a lot since then." So it actually can be good for your career to waste money.
Which fields? Most projects i was involved, web scraping and putting the data in to csv was the main approach...
> I don't quite get where you're coming from with "LLM's don't actually understand anything

Well, Wikipedia doesn’t understand anything, despite having a lot of knowledge encoded in it. This is similar in that it approximates the output of someone who can generate the world’s written word, but there’s a big gap between the monkeys that wrote the original text and the machine that now regurgitates it. What we know is that our written word has enough encoded in it that we can generate new combinations. But one day into a truly novel problem, LLM’s would have no idea.

I kept trying to get ChatGPT 4 to generate code with an AWS API that was released in ~2020. Couldn’t do it. Kept predicting the earlier text because that was the bulk of what it saw. A year of text (to the 2021 cutoff) and it was still unable to let go of the old, now wrong, “knowledge”. Zero understanding, just parroting. No coder with a year of training on a new API would be that wrong. It would say things like “you’re right I must not do X” and then do X again, in the same output.
AFAIK you can’t use anything except FaceID (or other system level security options) to secure the default password manager on iOS. But Yubikey does work with iOS, either the NFC one or the one with the lightning connector. Third party password managers are well integrated, so if one of them supported Yubikey I think you could achieve the same UX, but I’m not sure if any do. I’m not familiar with GNU pass sorry!
The funny thing about this comment is that man pages do all of the things you mention.

There seems to be a common sentiment that cargo culting random opinions from the internet is a "best practice" and that no code reviewer should ever have to learn anything new during the process. Both of these opinions are in my experience a fast track to a culture of mediocrity.
Can you recommend any mud “engines” that can be used on a modern linux system which are easy enough to get into (both for users and devs) and battle tested for security?
Show HN: Boost conversion rate of your sales video by adding virtual nametags
the idea is it wld learn how to do reasoning better based on this
> Nor does any score in the US

Hahahaha, that's a fantasy.

I got in a motorcycle accident at 18, and had to learn to walk again. You know what I couldn't do during that time? Pay my bills because I couldn't work. You know what I can't get despite making six figures these days? A decent credit card, a car, or a house. I have to pay cash, because going bankrupt at the literal beginning of your life, follows you for life.

Sure, the inputs are gone, but the evidence is there. When you go bankrupt and finally get back on your feet and can get credit again, there are only certain types of credit you can get. Eventually, the original negative inputs go away, but the types of credit still tell the same story. It can take decades before you are able to wipe away most of the evidence and get treated with some modicum of trust.