skysight-inc/HackerNews huggingface dataset:
It's intriguing to me that someone who made it to Stanford might only just be getting exposed to the basics of proofs like this?
What does this peppering of whataboutism add to the conversation?
Neanderthal adhesives were made through a complex synthesis process
Technical limitations made it difficult to deliver on every single aspect of the pitch, but I’d say it filled the spirit of the game intended by this doc.

It goes a long way towards explaining how it so significantly differentiated itself from the more sterile (but battle focused— which was fun too) Icewinf Dale games or the Baldur’s Gate games that had a bit more guardrails build into them.

All of those stand out as exceptional classics, but Planescape was unique among them.
Did you miss that the OP themselves used the word “resent”? Don’t know if they edited their comment to remove the word “resent” (haven’t checked) but it was certainly there when I replied to them.
Four alarming charts that show just how extreme the climate is
ch, ll
I listened at 1.5x. Maybe even 1.75x or 2x. That made the time commitment much more palatable for me.
Maybe, but it would be very interesting to see an AI drone exploring every corner of the world (in a low/no impact way), categorizing species we’ve never discovered, finding patterns in environmental sensor data, making recommendations on which rivers are the biggest polluters and the best places to intercept the problem, determine the best way to optimize rain catches to increase groundwater etc.

The obvious flip side of which would be that authoritarian governments could use this to figure out how to crush dissent, carry out “efficient” genocides, pillage their forests etc.
OP, if you are reading this, please contact me (email on website in bio). I would like to find a way to help fund the digital request to continue this research.
There is no reason to buy these clones on Ali while there is Monotech NuXT.
Google searchers from years past can get paid for pilfered privacy
This was good planning, if it was still part of the alphabet we couldn't use it for an URL query parameter delimiter.
Hyperbolic article from writers that didn’t understand the papers.

The actual problem is that LLMs don’t produce material with the same statistical distribution as their training sets, which is obvious if you think about it. For instance, the GPT training set doubtless includes plenty of swearing and slurs, but its output does not (even if you prompt engineer your way to an example, they will still be less represented in the total output).

Same is true for the long tail. If I ask GPT to complete “oregano tastes like”, there are lots of fairly likely completions, but it’s probably never going to produce “tires”, even though exceptionally rare combos probably occur in the training data.

I’m not sure this is a bad thing. Maybe? Is there some productivity or moral imperative to leave the distribution of words/concepts the way it was before LLMs?
I like PRQL [0]. It fixes a lot of the SQL warts and compiles down to regular SQL (think Typescript to JS).

The syntax example on the PRQL homepage

from invoices
filter invoice_date >= @1970-01-16
derive [
transaction_fees = 0.8,
income = total - transaction_fees
]
filter income > 1
group customer_id (
aggregate [
average total,
sum_income = sum income,
ct = count,
]
)
sort [-sum_income]
take 10
join c=customers [==customer_id]
derive name = f"{c.last_name}, {c.first_name}"
select [
c.customer_id, name, sum_income
]

Trailing commas, select at the bottom, filter is both a WHERE and HAVING replacement, easy filtering of created columns, etc

[0] https://prql-lang.org/
There's an alternative steampunk future where punch cards continued to be the programming medium of choice, and DX is all about better managing the sorting, organization, and secure carriage of punch cards to the supercomputer lab. Yes, a separate lab. After all, for sufficient sizes of data, sneakernet is more efficient than network cables anyway.
An IPO presumes that there will be buyers. I wouldn't touch Reddit stock with a 10 foot pole until 3 years post IPO if I would ever even consider it.

But investors don't have to work for someone else's book, just for their own and if they see an IPO as a way out that's an excellent reason not to want in.
If you look at the situation now, there's a small number of plutocrats such as Bezos who have captured most of the important tech workers in a small number of firms. They are building mechanisms that enable control through the smallest number of people possible. AI is just the next evolution in that. Hyper concentration of power. Zuk bought the last election with $400M dollars spent in key places and no one batted an eye. It's just one indication of many of the immense concentration of power going on.
The lecture notes for some introductory logic class of an analytic philosophy department may be quite good, but unfortunately I can't recommend something specific for English.
Humans are the batteries in the matrix.
Sounds very much like a Chinese PR OP. "Oh yeah we would've loved to attribute as per the license of the code we stole, but those dang online shops won't let us, so we just stole it and never mentioned it"
I honestly was unable to parse a single claim or counterclaim from this other than "I disagree".

> An answer to that could easily be “no reason”. Then where does your argument go? Nowhere.

Well yeah. Generally, when people's reason for holding a belief or performing and action is "lol idk", that isn't conducive to a continuing discussion. Not because it invalidates anything, but because it's the vocal equivalent of saying nothing at all.

It's fine if you think everything that needs doing is awful by definition. I disagree, and have a counterfactual experience. If that means nothing to you, that's totally fine.
My guess is money. The VC funded startup world seems to be a greater fool game. While there's some legit stuff going on in the field, much of what I see people talking about wrt LLMs is just a way to separate fools from their money.

It's a new enough field, however, that it's hard to keep up with all the latest projects.

So you mix the urge for free money from some corners of the valley with people legitimately not knowing if something is horse manure and it seems like the perfect storm for hype.
Breaking a contract usually incurs some sort of penalty.

Courts may enforce contracts and may be government entities, but calling it "government overreach" misrepresents their role to an extent that is just plain silly.
Interesting that the entire article had nothing to mention about the Reid technique [1]. The Reid technique has been used by law enforcement to convince criminals of confessions. Many confessions were found to be false. In the book by Carol Tavris and Elliot Aronson [2], they cover false confessions in depth with a few court cases, as well as police techniques to invoke cognitive dissonance in the accused. Callout to the book though, for self-deception and cognitive dissonance is something that affects us all!

[1] - https://en.wikipedia.org/wiki/Reid_technique
[2] - https://en.wikipedia.org/wiki/Mistakes_Were_Made_(but_Not_by...
Last year there were 300 shootings on school grounds [0]. They seem to happen at random - expensive schools aren't necessarily safer than public ones, city vs. rural, etc.

Why is it wrong to have a heightened fear that it could happen at your school? That doesn't need to mean that it is your primary fear, or that you're overwhelmed with fear, only that the concern is higher now than it was X years ago.

What are we doing differently than every other country that makes us have so many more shootings in schools?

0. https://www.k12dive.com/news/2022-worst-year-for-school-shoo...
I think regulatory capture needs to be considered as well.

At some point those that amass large amounts of wealth are disproportionately able to influence government regulation to ‘game’ the system itself in their favor.

It seems in the realm of finance, it’s much easier to obscure regulatory capture than in other domains, where anti-competitive practices are much easier to suss out.
You can use subTest in Python, and there are packages which provide parameterize for unittest as well. https://docs.python.org/3/library/unittest.html#subtests
But the output of the LLM is trained on a synthesis of multiple inputs. Even if every input has information loss, new and novel combinations can be created. I imagine it’s the same for humans since we have lossy memory.
> Why use a Realtor?

Just to inquire, do you mean Realtor® or just a salesperson/agent? Any salesperson/agent can get their license by taking a short training course, and can then subscribe to lead websites like Zillow etc. But becoming a Realtor is at least a bit more commitment to knowing how real estate actually works and advising your client on good decisions, in addition to being bound by the Realtor code of ethics. https://www.nar.realtor/about-nar/when-is-a-real-estate-agen...
Or 100% certified Humans willy offer themselves to interact with your AI. For a nice hourly fee of course. A Human has got grown embryos to feed..
Ask HN: Recommendations for books on reverse engineering?
I'm looking for good textbooks on reverse engineering. Not too particular about the specific systems since I'm interested in the fundamentals. I'd be more keen on embedded systems or PCs (x84, x64, arm). Thanks.
I recall studies (...unless my recollection is a false memory!) where the subjects didn't know they were in an experiment.

For example in one I remember the researchers got the parents and older adult siblings at a family gathering to start talking about funny things that happened when the kids were growing up. That included a made up story about when they went to one of the younger adult siblings' third grade school play, where something funny happened involving him.

Much later the researchers managed to arrange for that person to end up in a conversation that turned to elementary school plays, and that person on their own brought up their third grade play and the funny incident, and even added details that were not in the story told at the gathering.

When I said the story was made up, I didn't mean that what was made up was that something funny happened to him during the play. In fact his third grade class never had a play, nor did any of his other elementary school classes. Nor he did he attend any class plays from other classes.
Having worked both in libraries and with large data sets I don't think a classification system like Dewey Decimal would work for data sets. For example, if you had a large data set of locations for people on a college campus, that data set could be used for sociological research (who meets up with whom?), or epidemiology (to see who potentially spread a virus), or building maintenance (which buildings have the most people using them?) So what do you classify the data set under? Maybe you could file it under location data (though it is also student+professor+manager data), but what if the basic data is WiFi AP associations? Then the data might also be of interest to wireless network managers and could be classified as wireless management data. So any classification system probably needs a tag system that can apply multiple tags to one data set. The main point of classification is being able to find what you need, so pigeon holing a data set into one category is not a good idea because data is much more versatile than a single book (although there are problems with Dewey Decimal and books in this regard also). There is also the problem of future categories, catagories that don't even exist now but might retroactively apply to current data sets. So an old data set that might have been tagged with "location" might in the future also need to be tagged with "privacy". Being able to add tags in the future is important. So a data set is not like a book on a shelf, it's more like a web page, and there should be multiple ways to link to it. Data sets are not physical things, and are not related to a single topic (though they may have been collected for only one purpose initially), so don't use a cataloging system for physical objects to catalog data sets. That said, the range of data sets is infinite. So understanding your own needs my help limit the number of tags/categories and understanding how your needs may change in the future would help. Machine Learning data sets are often repurposed. Business aims may expand. At the extreme you may want to do some research into the problem of ontologies. Specifically, how to build an ontology of your current and future intentions for these data sets. Look for something flexible because your needs are likely to change, so you may need to transition the "catalog" to a new form in the future. That seems very complicated and difficult, so reduce the problem as much as you can by imposing limits. What is the minimum range of categories that defines your interests?

You might take a completely different approach also, instead of categorizing data sets, just feed them (and all their metadata) to a machine learning algorithm that can search and summarize them for you. That puts the categorization into the search query+process, not associating it with the data. By its nature raw data is rather category-less, it can later be used for anything. Notes on butterfly migrations from the 1900's later becomes data on global warming.
Measure changes in something the test subject isn't expecting and wouldn't realize they need to fake? E.g. if you had to sit in the waiting room for 5 extra minutes, your test score changes like this.

Measure differences below conscious control, like reaction speed to positive/negative/etc words after exposure to certain inputs.
Funny how differently things can be framed.

You can either call SQL proven and battle-tested, or crusty and outdated, depending on your agenda.

Same for the fancy new alternative: It is either fresh and innovative, freed from the shackles of legacy and standard-compliance, or reinventing the wheel in a non-standardized manner.
https://archive.vn/BiHIF
Pff you are so devoid of real world knowlage is astonishing. Hydrogen cars have been on sale for decades. But lucky for the car companies that build them, nobody wants to buy that trash so they advertise them at below cost. These car don't even have real production lines, the volume is to low to actually invest in a serious production line.

Go and actually compare real world sales. Like actually go look at the real world. In the real world BEV sales are increasing 50% year over year and is already many millions every year.

Hydrogen car sales are a couple 1000 at best. And most of those are not even to real costumers but pilot programs and things like that.

Tesla produces about as many Model Y a week as global hydrogen car sales per year. Hydrogen cars are a totally irrelevant rounding error.

Why would anybody buy a car when there are almost no actual gas stations. Toyota is clearly not willing to build gas stations themselves on a large scale. What company in your mind will spend 10 to 100s of billions to out a hydrogen fueling infrastructure
You can't trust psychology because people sometimes lie.

You can't trust physics because you might be hallucinating.

What's left? Authoritarianism? Consensus? Tradition?
I think trying to do apply this finding to an ongoing injustice is more urgent than cataloguing the failings of a defunct state.
To the emoji t-shirt mobile!!!
"...We ask: Is it possible to introduce a watermark without incurring any detectable change to the output distribution?
To this end we introduce a cryptographically-inspired notion of undetectable watermarks for language models. That is, watermarks can be detected only with the knowledge of a secret key; without the secret key, it is computationally intractable to distinguish watermarked outputs from those of the original model. In particular, it is impossible for a user to observe any degradation in the quality of the text. Crucially, watermarks should remain undetectable even when the user is allowed to adaptively query the model with arbitrarily chosen prompts. We construct undetectable watermarks based on the existence of one-way functions, a standard assumption in cryptography..."
I guess because they didn't write it that way? :)
I think it's too bad that we didn't choose delimters that had no chance of appearing in actual text. Commas are a big one, when parsing csv there's always the problem of having commas in the text of a field. One hack I have used if I don't want to delete them is to swap them for a character I imagine will never be in the text, such as | (pipe). It all could have been avoided if we had some standard delimiters that were not part of common text.
>Given everything else is solid state and will probably never fail

Huh? Solid state drives do certainly fail, especially consumer parts.

Ideally, IF Apple were to source the best NAND silicone for reliability, and IF they had the best wear leveling algos implemented in NAND controller FW, and IF MacOS had optimal IO for write calls, and IF the soldering, temperatures, and voltage regulation to the NAND and controller were to be kept within ideal spec, then we could safely assume they might never fail, but that's a lot of IFs, and is why SSDs still fail quite a bit despite no moving parts.

Which is why I refuse to buy PCs/laptops with soldered storage. That's like buying a car with the brake pads permanently attached to the chassis.
Some do; others involve more subtle tricks like having subjects watch a video of a car crash, then using different wording a week later to ask them about details of the video (to spoil the surprise, the wording of the questions significantly alters recollection of what happened in the video).
I like your analogy with riding a bike: If you want to ride a bike, what is more important, learning how to ACTUALLY DO IT, or to learn the physical and mechanical rules underlying it? Furthermore, technical knowledge will always be incomplete (and that applies also to logic in a very technical sense), while once you learnt how to ride a bike, your knowledge, in a way, is complete.
Upvoted just for the name and acronym!
The emergence of some of the planet's most awful and long-lived dictatorships, you mean. Which completely betrayed the national liberation struggles from which they emerged.

I suggest you try visiting some of these countries sometime. Or at least talk a few people who actually grew up there. You might learn something.
"AE" as you have it (with your link presumably you mean Æ) is the letter "ash" from the Old English alphabet.

Þ called "thorn" is another, which type setters replaced with a Y so as to not add another letter to their collections. It made the "th" sound and why "Ye Olde ..." is a spelling convention but people of the time would never have said "yee" for it.

Other letters were lost too, eth, wynn, and this is all contributes to why Modern English spelling conventions are kind of awful for ESL learners.

https://en.wikipedia.org/wiki/Thorn_(letter)
Say what you will but Musk wanted to take it in a different direction, one that didn't need to pay activists to meddle with the algorithm and censorship, and didn't need to pay rent in it's buildings
Massachusetts DA postpones free “DNA drive” after ACLU questions program
Never would I have thought that "&" was ever part of an alphabet. It's more of a symbol, like "." or ";". HN is sometimes a source of curious things.
Funny coincidence, but Fortnite now has Verse, a scripting language that's pushing the envelope and using Haskell-influenced ideas to do distributed computation.
> instead of banking the surplus (i.e. moving on immediately to your next task), you spend it relaxing and screwing off because, whew, you just earned a small vacation by busting shit out in an hour that you thought would take all day.

I'm perfectly OK with this. In fact at many countries you will be entitled to some paid time off after you log some overtime.
That’s a bit silly. If you don’t know what something is, you can google it pretty easily.

Everyone doesn’t need to cater to the lowest common denominator of knowledge.
There are only sixteen possible maps from Z^2 to Z^2.
> Once they view the house, the owner could convince them to ditch the agent. I mean honestly, what does the average agent do for a client? Not very much.

Most Buyer Agency agreements operate on the basis of "if we show a house to you, and you buy it, we are owed a commission regardless of if you terminate the agreement afterwards". Now, typically a real estate agent isn't about to sue their clients if they purchase FSBO, since that would mean suing them for a 2.5 or 3% commission the seller wasn't even offering to the buyer agent, but it does mean that you can't get agent 1 to show a house, then switch to another agent, without agent 1 getting paid.
It always looked good, but I’m honestly impressed how tetris-like their design has became. It truly feels like there’s no wasted volume in there. That being said, it’s all horrible from the repairability point of view.
NeighborhoodWatch for US based resources
“OMG”: so how does anyone get convinced to invest, as it seems like gambling with a very high chance of total loss?
Well I have to be informed of it's existence, so thanks.
Interesting read:
https://aeon.co/essays/the-self-is-not-singular-but-a-fluid-...
Good answer and I'm using Maxmind for this.
I wasn't aware that they would record ISP changes just because one of their clients was using their IPs a lot and I thought this would only happen if you register the IP on your own ISP (similar to how you purchase dedicated IPs and register them on your own company).
We still see this in French semi-regularly, such as œil and cœur
I've seen code like this (3 letter macros for every one and a half(!) syntax construct, all macros starting in Q, seemingly random indentation). I do not understand why the developer did that or why the company let him. Just that at the end he didn't understand his own code anymore and couldn't fix some issues.
I don't know a lot about other countries but my understanding is the fee is much lower, which may explain why you do see many buyer agents. Good comment. Thank you.
Actual on-station signage will mostly be from a set of standard parts from railway suppliers.

https://wiki.openraildata.com/ has information about various open data feeds available for the railways in Great Britain, and https://tfl.gov.uk/info-for/open-data-users/ for TfL. Third party solutions for things like railway adjacent bars presumably use one of these to get departures board info etc.
Will it? Who will be using the API at all going forward?
I know what their plan is, just pointing out their hypocrisy.
Alternatives already exist for Google app store but not for Apple.

What the world really needs now is an open alternative to Google Pay and Apple Pay --- particularly for ticketing purposes.

Airlines and Ticketmaster are now willing accomplices in Google's privacy invasion enterprise by encouraging the use of Google Wallet and discriminating against those who don't.

This is being worked on but it's not here yet.
https://github.com/openwallet-foundation
Give mojeek a try. It is keyword based, not query based ( they explain on their home page) and it works very nicely and there is no cost.