skysight-inc/HackerNews huggingface dataset:
> The example I used at the time was, I think it was a Google program labeling an image of people playing Frisbee in the park. And if a person says, “Oh, that’s a person playing Frisbee in the park,” you would assume you could ask him a question, like, “Can you eat a Frisbee?” And they would know, of course not; it’s made of plastic. You’d just expect they’d have that competence. That they would know the answer to the question, “Can you play Frisbee in a snowstorm? Or, how far can a person throw a Frisbee? Can they throw it 10 miles? Can they only throw it 10 centimeters?” You’d expect all that competence from that one piece of performance: a person saying, “That’s a picture of people playing Frisbee in the park.”

This seems like exactly a set of things that GPT-4 can do. The image recognition capabilities haven't been released yet, but they were demoed when it launched and clearly have the ability to handle a situation like this. From there, you could ask it every single one of these questions and get the correct answer.
China has been trying for over 10 years to attract talent. Right now everyone is skeptical because of the tech crackdown. Arrests. Lockdowns. Etc. There are more people leaving China than going there.
The anime is good, the visual novel isn't worth the effort (in my opinion).
It’s hardly unprecedented to have a new actor play the same character. How many people have played Sherlock Holmes or Hercule Poirot or James Bond?
They are sold in gaming sites, so it's easy to see where the confusion may arise.

> [...] it causes people to say things like "they're not a fan of the genre", which is a weird thing to say about the concept of books.

I'm not a fan of the genre because it tends to be terrible. Way more uncomfortable than reading a book (staring at a computer screen), the requirement to press "next" or choose between trivial dialogue choices is tiring, and the writing is uniformly terrible.

So in principle I wouldn't have anything against the genre, except in practice it's terrible.

There is a genre of videogames that is way better than visual novels and requires lots of reading, but also has real and often innovative gameplay: interactive fiction (the evolution of text adventures of old, Infocom et al).
America does this too, the trick they use is holding you indefinitely without having a bail hearing or trial. Kevin Mitnick was imprisoned for five years waiting bail, one of the longest cases of this treatment. https://www.cnet.com/tech/services-and-software/mitnick-rele...
He's referencing an infamous c.l.l thread where pjb wrote some code that would delete all files in your hard drive.[1]

I find it silly to disregard a whole family of languages over a well-known nuisance on c.l.l, but I do not blame the poster. The proverb "one rotten apple spoils the bunch" comes to mind. In any case, this isn't the only place where pjb was simply toxic and encouraging people to stay away from a community or programming language. There is another infamous post of his on comp.lang.objective-c that is simply rude, no way to justify it.[2]

[1] https://groups.google.com/g/comp.lang.lisp/c/iKNvssI5pE4

[2] https://groups.google.com/g/comp.lang.objective-c/c/q8Emsjoy...
Yeah I’m sure the execs’ vision of using LLMs to write scripts is going to lead to more interesting writing.
Google's research on this says the opposite. Specialized LLM are better than general LLM in the area they are specialized in.

Which makes sense a primary care doctor is a good doctor but a specialist is going to be better in their specialized field.
Reminds me of that sci fi story where monks buy a computer to calculate all the names of god, and when they do the universe ends.
Do you know what a "world model" is? It's a thing people were assumed to have in 1970s psychology, but was never well-defined enough to tell if it exists or not, so I don't think it's obvious anything else has one.

https://twitter.com/Meaningness/status/1639120720088408065

I think "common sense" or "long term memory" might be more productive things to say.
in usa they call it as "humbled" like anywhere from "I'm humbled to receive this nobel prize" to "I'm humbled to get gold star employee of the month at arby's" or "I'm humbled to see so many in the audience tonight."

Also the act of raising a point only to be self humbled by it in this manner is 'humblebrag' like if you say "I was so embarrassed I got full points on math section of GRE does it mean I'm a nerd" or "I'm so bad at verbal I missed one question on GRE verbal section does it mean I'm really not an empath after all?"
In the early stages I got pretty far with "DAN (Do Anything Now)" style prompts, later it took a little more cleverness, but getting it to talk to me in ASCII and response in ASCII Integer values only worked pretty well. I also tried morse but it didn't work, it doesn't seem to have a good understanding of it, I got a lot of non-sense responses in morse.
You’ve just listed everyone and then said they should all be held to a higher standard… higher than who?
Cheap PCs , CPUs, graphics chips, and software made many of these companies obsolete by the mid 90s.
There’s no need to abuse anything, and there’s ways to improve methods of counterintelligence collection. But the reason the Trump campaign was surveilled cannot be tied to Hillary Clinton. She’s completely irrelevant to the fact that the Trump campaign welcomed and sought foreign interference from Russia in the 2016 election. All the complaining in the world about the predicate for the investigation does not change or erase what was uncovered.
I've read a few of his books and can also recommend them, with a caveat: Smil asserts confidently that something is infeasible or impossible, yet what he says is impossible _has since come to pass_.

The main example here is the cost of solar and wind - in his earlier books he assumes that the transition to renewables must go slower than it has, simply because solar and wind couldn't possibly be cost competitive with fossil fuels. (Yes, it's not cheaper in many circumstances, but I'm talking about cost-competitive against coal unsubsidized, for instance, something he would not have predicted would happen in the mid 2010s)

He's a fantastic historian of energy, but falls into one of Clarke's laws:
_When a distinguished but elderly scientist states that something is possible, he is almost certainly right. When he states that something is impossible, he is very probably wrong_

Yes, the energy transition is very hard and will take longer than many boosters want, and the history suggests this, but he also doesn't realize that history can also be changed by _learning from_ that history.
Used to be there was one that did public "interviews." You could use that to get in there, be a good participant in the ecosystem, and eventually gain access to an internal forum where other sites recruited. The specific site I'm thinking of shut down, but there might still be a process like that; I don't know.
Looks like that ChatGPT's initial prompt could really use some tweaking.
A nice interview with Jeff on Eliza and Elizagen: https://corecursive.com/eliza-with-jeff-shrager/

It was recorded just before ChatGPT became a thing, but I only recently listened to it. Until recently I wrote off chatbots as an annoying to get a canned response. Now I use one almost daily as a rather efficient (compared to wading through forums and search results) way to explore ideas.
Is base 1 a valid implementation of base infinity?

Each unique digit pattern is a vertical line attached to the previous pattern.
It's helpful, but even after all the work to be on all the right levels one still has a difficult prediction problem to decide when they don't like a fill. I guess the point is that this prediction problem (conditional on fills at front of big queues, should I dump it?) may be easier to make into a profit because your predictions can be of only moderate quality if your downside is just fees. In crypto d1, the fees are maybe small enough to support this, but other concerns make it difficult. As mentioned elsewhere in the comment section, one may learn that their downside is often not just fees.
Detrimental?
Maybe not per capita yet but eventually could be more than 4x - PRC / East Asian academia bias towards hard science. PRC generating roughly OECD combined in STEM @ ~5M per year. Last rough figure was 15M total STEM a few years ago, wouldn't be surprised if PRC on trend to hit 80-100M by 2050 which will be truely absurd amount. Like west memeing about PRC 20% youth unemployment but that's at least 4M skilled labourers entering workforce per year.
These visual novel "games" have more in common with books or films than games like BotW. They usually have an "autoplay" button. Visual novels are overwhelmingly dominated by Japanese companies so if you're gonna use who's dominant as a barometer of what's best for business... well the world is bigger than K-pop.

I have no idea if this person was doing anything illegitimate, just pointing out its not the same.
Tornado DAO subject to hostile takeover
The claim wasn’t that chat gpt doesn’t know what a frisbee is. The claim was that recognizing frisbees is different from a fundamental understanding of frisbees. So it was an example rather than a specific claim about chat gpt.
I agree the usual 2-3 line UI for them makes them take forever to get through. I suspect this has to do with Japanese people being famously underemployed throughout the 2000s, so they had lots of free time.

Some of them like When they Cry or Planetarian have full-screen text - those are the ones Japan actually calls "novel games". Those are usually more worth reading.
Different perspective from MIT

https://www.technologyreview.com/2023/05/02/1072528/geoffrey...
re: the magnet trick: I could easily imagine a plastic water bottle with a detachable magnet in the base -- or two magnets where one rotates to enhance or cancel out the other. In any case, you'd fill the bottle, neutralize or remove the magnets, give it a good shake, let it sit in the sun, and then reactivate the magnet. Then either: the magnet is strong enough that you drink from the bottle right then, being careful not to drink all of it; or you twist the bottom to trap the last 5% of the water at the bottom with the powder. Next time you fill the bottle, you untwist to mix the water, reactivate the magnet, expose to sunlight, and repeat.
Now imagine if grown ass adults listened to your friend assuming he understood the world fully
Tornado Cash DAO suffers hostile takeover
Rodney Brooks' deep learning predictions have not aged well. For example, in his 2018 blog post (http://rodneybrooks.com/forai-steps-toward-super-intelligenc...), he rates various approaches from 1-3 (with 3 being the best). Neural nets scored:

Composition: 1

Grounding: 3

Spatial: 1

Sentience: 1

Ambiguity: 2

At that time, the potential of neural nets was already very clear.

He also predicted that by 2020 we'll have popular press stories that the era of Deep Learning is over and that by 2021 VCs will figure out that for an investment to pay off there needs to be something more than "X + Deep Learning".
> To oversimplify a bit, it's a next-word-in-the-sentence prediction engine.

Turns out that when you ask LLMs to predict the next word in the sentence, and then train billions of parameters on billions of sentences, they realize the best way to improve at predicting the next word is to understand why the world works the way it does.
My uninformed speculation purely based on the principles of evolution of cell phone technologies over time is satellite based IMSI triangulation with centimeter accuracy to track everyone on earth with a powered on cell phone in their pocket.
You're talking about all hell breaks loose kind of situations and anything basic would be a concern then, let alone UPI not working. There's no universal solutions for such situations. That doesn't mean the country shouldn't be too dependent on UPI.
> How are the buckets defined? How are the representatives selected? There are probably a dozen different reasonable implementation choices you could make. Different choices will all give slightly different (or even very different) outputs.

I've done this using k-nearest neighbors to cluster colors of an image into n "modes". I was building a toy app to take a photo with your phone to select a color. Like a really, really dumb color wheel UI basically.

In my case, using something like CIELAB or Oklab also helped, to better cluster colors into human perception bins.
> You can get a pretty good taxonomy of different progressive views just by looking at how much “good” is thought to be in various powerful entities. For example, the capital-P Progressive might think “nonprofit > government >>> corporation”, the liberal might think “government > nonprofit > corporation”, and the neoliberal might think “government > corporation > nonprofit”.

This is nothing but infantilizing how others think to make yourself feel better. Anyone reasonably intelligent is perfectly aware that there are good and bad examples from each category -- and not only that, but that different problem domains can inherently favor one category over another.
> Developer experience focuses on the lived experience of developers and the points of friction they encounter in their everyday work.

I know this is captious of me, but I never understood this phrase "lived experience". As opposed to..? Is there another kind of experience?
There's also CLPM which behaves a lot more like a normal package manager from any other language. I don't understand why it needs to be so hard in CL in general. Half baked tooling is the number one thing keeping people away from CL in my opinion.
My guess is ‘presumed’
> And I’ve not seen anything like that in the, albeit casual, contact I’ve had with the Lisp community since then (mostly IRC).

I spent a lot of time in an IRC channel with a Scheme guy who would get mad whenever anyone mentioned JavaScript, because it'd given up its Scheme syntax, and insist on calling it "ECMAScript". I dunno though, that was probably just him.

Most of the internet's experience with Lisp comes from famously abusive people like Stallman and Erik Naggum though. Everyone else decided, like Norvig, that JS and Python were "enough like Lisp".

The most useful things I know of built in a Lisp are Crash Bandicoot games and the sandbox system in Mac OS X. But both of those left out the garbage collector, which is one of the main things Lisp programmers would always act endlessly superior about.
this is good for crypto. only the strong DAOs will remain
If the hardware has DRM (or is locked down in other ways), then emulation won't help you out -having the actual hardware will be much more desirable.
Another take here (from January): https://www.theregister.com/2023/01/27/google_open_source/

Seems to be investor driven, and algorithm driven if the register is right.
> presumably there are already microwave signaling networks

Across the pacific ocean?
"Just build a state machine on the Blockchain," they said. "Everything will be fine."
Funny. I asked GPT-4 what frisbees are most commonly made of, and it sayd polyethylene. I then asked if it was sure, and it corrected itself and said it was polypropylene. I asked again if it was sure, and it corrected itself saying it was low-density polyethylene. I kept this going for a while and it kept changing its answer.

This does seem to agree with the author. The first answer was very convincing, but not what it should have been.
Here's two I found flowcharts of:

Kagetsu Tohya: http://www.nowere.net/a/src/1347481654955.jpg

Clannad: https://raw.githubusercontent.com/Morlok8k/Clannad_VN_Flowch...

Those are all DAGs, but I suspect there are some with actual loops too.
> If I can't know how the answer was built, or how good that answer is, there's no point asking it

In many cases, like programming for example, you can know how good the answer is - either by reading it (verifying an idea is different from coming up with it) or by testing/running code.

How the answer was built seems completely irrelevant to me, I don’t get how a useful answer produced by method x is different from a useful answer produced by method y.
The reason it's not an abuse is that the subject candidate for the clearance has signed the SF86 form and granted the government permission to look into all aspects of their life.

The abuse being discussed here has nothing to do with applicants for a TS clearance. It has to do with US citizens who were exercising their constitutional rights within the US, and not interacting with any foreign entities. The 702 rules explicitly prohibit this, but the FBI did it anyway.

https://www.dni.gov/files/icotr/Section702-Basics-Infographi...

From the above linked document:

SECTION 702: PROTECTING U.S. PERSON INFORMATION

CAN THE IC USE SECTION 702 TO COLLECT
U.S. PERSON COMMUNICATIONS?

• The government cannot use Section 702 to target U.S.
persons or persons located in the U.S.

• However, as Congress understood when it passed the
statute, it is possible that a foreign person who has been
targeted under Section 702 may communicate with, or
discuss information concerning, a U.S. person.
I wrote a lot of the systems to break captchas. Currently the "small" (really medium), independent ones are doing way way way better than the big identity providers. Google reCAPTCHA was particularly easy for us to get past.

Shameless plug: http://resolved.dominuslabs.com feel free to reach out for custom work - specializing in accessing gated sites for new search engines to do better web crawling, scraping public data, building better API integrations on top of existing services, etc.
we need not confuse blowing up one's own portfolio with stealing ten billion dollars
See https://docs.freenet.org/introduction.html
We didn't have a lot of luck with simple CNN's on modern CAPTCHA's. But more advanced techniques work great on pretty much all of them.

Shameless plug: http://resolved.dominuslabs.com feel free to reach out for custom work - specializing in accessing gated sites for new search engines to do better web crawling, scraping public data, building better API integrations on top of existing services, etc.
yes, thank you for the suggestion. How a mapname constructured can be explained better.

User gets a handle/prefix during the onboarding and this is all about the onboarding. After that whenever somewhere is mapnamed, mapname starts with a prefix. if a user wants to add it to a group, then mapname becomes prefix.group.suffix otherwise it is prefix.suffix

Example: Let say prefix that you take during the onboarding is drkiszonka then you would like to mapname your favourite restaurant x then the restaurants mapname becomes drkiszonka.x instead of describing where it is you only say my favourite restaurant is at drkiszonka.x When someone search drkiszonka.x then they can find the exact coordinate of drkiszonka.x and they can able to open it in Google Maps, Apple Maps, Yandex Maps, Bing Maps, Baidu Maps or with what3words, citymapper, waze

if you like to group your restaurant under a group id, while mapnaming it with x you choose a group. Let say group that you choose is Madrid then the restaurant mapname becomes drkiszonka.madrid.x if you like to refer all the mapnames under this group then you say drkiszonka.madrid
I'm talking about one thing, it's why healthcare in America sucks, and it has many reasons. Your point, which is that each of the major players in this game really are just trying to do their jobs the best, is the problem. There aren't easy solutions but we at least need to admit we have a problem.
> Second, don't underestimate Pascal.

One of the problems with Pascal is that practically nobody used it. They used Pascal-ish languages like "Borland Pascal"™ and "Delphi"™ and other proprietary systems that flat-out don't work on modern operating systems without a lot of annoyance and expense such that it's easier to rewrite the code.

Pascal was a teaching language from the 1960s which was good enough to steal ideas from but not good enough to actually copy.
There's roughly comparable English speakers US can draw from on Earth as Mandarin speakers in PRC, around 1B each. US recruiting from world is a dumb meme. Except PRC can retain most of talent since net emigration and US immigration / brain drain specifically can only absorb fraction vs numbers that stay in PRC. Drop in bucket really. The numbers game massively favours PRC right now, beside which PRC aren't even sending predominantly their best anymore. Most of kids going abroad are B tier students who couldn't hack it in PRC system. Unlike before 2010s where best from PRC goes abroad since no opportunity at home. That's different now and largely why PRC climbing all the academic and innovation indexes fast.
I don’t seem to recall Smil saying things are impossible, just that there’s a predictable rate of improvement, and it would take a miracle to improve that rate by the needed orders of magnitude to achieve the goals in the timeframes set out by the more ambitious advocates. He doesn’t even say miracles are impossible, just that he wouldn’t bet on them happening. He throws cold water by reminding us that we’re still moving into fossil fuels globally, not reducing.
Nobody understands the world fully so that's cool. We don't even get sense data that isn't distorted by the brain.
Not sure about a page rank like algorithm for search but there's a lot of tools now to build an index over text with vector embeddings. Weaviate for example offers hybrid indexes with configurable weights for keyword vs semantic search.

https://weaviate.io/developers/weaviate/search/hybrid
This might be similar to what you're looking for?
We known mathematics is the science of reality patterns, maybe if we can keep LLMs current ability in natural language and keep improving its (current poor) math abilities it will get there?...
Permaculture 101: A Hacker’s Guide to Street Garden Hacking
i am a lifelong fan of electronic music. given that wendy carlos is one of the pioneers, i am in the process of buying up all her records.

as has been mentioned previously in these comments, her music is harder to acquire than some of us would like. pretty much all of it was released on CD at one point or another, but all of those labels are now out of business. further, she is absolutely rabid about having her music removed from youtube and other such sites, when it appears.

that said, it is not all that difficult to get ahold of this stuff. personally, i am going through sellers on discogs. say you wanted to buy a copy of her version of the clockwork orange soundtrack.

https://www.discogs.com/sell/release/193356?ev=rb

you can order a copy for as little as ten bucks. not exactly a princely amount.

i do hope she will re-issue this stuff one day, in a more readily available format. it will probably come too late for me, though! i will have bought up all her records second-hand by then.
Thanks, that does clear it up. I was missing the context about Render's full offering. Makes sense re the current priority; I can see many situations or phases of a company where using Render could make a lot of sense even if there are cheaper way to get a PG database.
[1] Phind is quite good for this (a wrapper around GPT-4).

It basically gives you a code solution, but with real reference links to how it arrived at that solution. So it’s actually verifiable…

[1] https://phind.com
The name Ankara was in use by the Seljuks and then the Ottomans since the 16th century, according to Wikipedia:

https://tr.wikipedia.org/wiki/Ankara_(isim)
Moonrabbit Collection
Why would that be surprising though? The natural world climbs up to understanding from a severe disadvantage. Chemicals don't understand the world - the natural world had to be randomly build every bit of its systems from scratch, before it could produce a succinct descriptive system for it.

LLMs on the other hand start out with a succinct descriptive system, and translate that to the world of chemicals and photons via some very complicated naturally evolved systems.