skysight-inc/HackerNews huggingface dataset:
Everything you say seems like made-up and irrelevant.
In fact, an AI could write the same.

There is no evidence that AI-powered writing leads to lack of creativity.

AI is not responsible for the publication of documents. It is your duty as (co-)author to make sure that what you say is valid, and to make the necessary fact-checking before publication.

If anything, AI will on the opposite gives access to work to MORE people, possibly people that are less proficient in writing, but still might have interesting ideas.

All this AI FUD, it's really the history repeating itself.
> Chinese citizens have the most positive view of AI products and services, while Americans are more skeptical.

Is there a cultural reason for this?
> What race was he?

What bearing does 'race' have that on anything I said? The law in question solely speaks of 50% pre-1778 Hawai'ian ancestry. It doesn't say anything about 'race' genetics, skin color, hair color, or any other hereditary characteristics. It's a pretty simple question, that does not require unscientific hair-splitting - simply trace up your family tree, and count where your great-great-great-great-great-great-great-grandparents lived in 1778.

But since you've asked, Obama does not meet that criteria. His maternal grandparents are from Kansas, and his paternal grandparents are from Africa. Growing up in Hawai'i does not entitle him to those particular reparations settlers chose to grant to Hawai'ian natives.
>I mean what do you propose western nations do? Nothing?

We could compel China and other countries, by diplomatic and other means
VCs, yes, they should have done more due diligence. But putting the NYTimes on the same playing field, as if they can be expected to have the same access to business records as investors, is dumb.
The readme should include a pronunciation guide for the name.

tru-rul?
tee-ru-rul?
Hey, I started tinkering with this last night, your comments probably saved me a lot of time.

It's more work, but maybe language specific tooling as a first pass? I'm wondering how far you'd get by feeding it all the type information first (from lets say rustdoc as a specific example), and then asking the LLM to understand the structure of the program.

Then taking that output (which you could cache) + any source file local context information + the users request for a change.
I’ve been your proverbial Dr Johnson many times. There are at least even odds that some other reviewer told you to cite me. When appropriate, I try to find follow on work, or point to a paper I cited that more people should read.

Also, I think people are overestimating how much reviewers care who the authors of the papers they are reviewing are, at least in my field.

For one thing, the papers are often written by a student, so writing style isn’t a great giveaway. Also, the advisor probably appreciates a thoughtful rejection of the crappy student paper. The alternative is getting it accepted, followed by a mad dash by the advisor to copy edit it and add experiments so the work isn’t embarrassing. (Tenure clocks are the main counter example of this, but junior professors aren’t exactly in a position to bully the reviewers!)

People could try to block work that would scoop their ongoing paper, but I don’t really see that happening in practice in my field. Double blind doesn’t help with that, of course.

However, it would pretty rapidly tank that reviewer’s reputation, since the other reviewers would see the bad behavior, and they know each others’ identities.
As a society, we should look out for the vulnerable part of our population. The example with high fashion brands is on point though, but I also absolutely detest paying extra to have a logo on my stuff so it doesn't really resonate with me.

High fashion is also marketed toward specific classes of people, those with the means and ability to afford them. Meme stocks and cryptos are geared toward small retail traders who don't really have much in the first place. One of these will cause more damage than the other to its targets.
Is the strategy of doing it ourselves and politely asking China and India to get on board this century working so far?

I'm not saying we shouldn't be taking steps to reduce our carbon footprint in the west, I'm saying that doing that and hoping that other countries will voluntarily join us isn't working.
This does suck for obvious reasons, but I also think we need to get a good, thin, eInk tablet like Remarkable or Boox Note down to the sub 100 usd/gbp price. Kindles are ok but they’re too small for textbooks and you’re also locked into Amazon. Plus they’re read only (apart from the latest one), and the new generation of tablets around atm can serve as paper like notebooks as well as eReaders. I like reading paper books as much as the next guy but it is hard to justify sending millions of books each year all over the world when we could send them over the wire for a fraction of the cost and pollution.
Family history is funny like that. I have a few (usually female) ancestors who, according to censuses, just don’t age at quite the same rate as other people :)

I find it kinda charming. Gives some insight into who they are, and that fear of aging is a pretty universal feeling.
> "Number of Olympic medals" is a very poor analogous concept here, because it's not a directly measurable and variable trait, it's a complex tail-end derivative of several factors.

As if extreme longevity is not a complex tail-end derivative of several factors?
Idk if it my experience is abnormal, but I'm still getting a shit ton of recruiter inmail. When I look into the salary ranges, they are about what I was seeing in 2021.

Maybe I'm just lucky. But for anyone else looking - chin-up, I think there are more opportunities out there still.
"tweeting" apparently means "to suck your own cock", which describes Twitter pretty well :) /s
Cynicism, and its brother pessimism, are absolutely necessary to survive and thrive in business. Unbridled optimism is generally for future failures.
Thank you! Have fun - please share if you do anything cool!
One good reason to expand NATO post-2014 is to just show a massive middle finger to Russia.
Killing competition is actually really cheap at google scale. Most "competition" just wants to be aquihired anyway.
I work from home as a Data Scientist and I am a standup comedian on the side. I have a standing desk with dual monitors. KVM Switch has been a game changer for my productivity. When I have some downtime in my job, I can immediately switch to my personal laptop to work on my personal projects and comedy.
Countfire | Senior or Mid-level Fullstack Developer | Remote (London, UK) | www.countfire.com

Countfire makes software for the construction industry. Our software is well loved because we try to design solutions that are a magnitude more efficient than existing tools.

We use all sorts of tech, but mostly MobX, React, Typescript, Python, Hasura and Postgres. Looking for people with a good understanding of React.

Previously based in London, now seeking remote devs across the UK.

More info here https://www.countfire.com/careers/

Feel free to contact me directly aidan@countfire.com

Note, applicants must be resident in the UK. No recruiters.
This is not even slightly true

Go find an average cop, a CO, and a TSA employee. The CO is somewhere between a violent felon and the cop (and is technically probably both). The TSA employee is closer to a DMV employee than a cop. The border/customs agents are cops and they act like it.
I feel like an idiot for not thinking of this sooner. Thank you, great advice.
I'm convinced this was written by ChatGPT.
I was curious how much overfitting there really is.
The compression is certainly not lossless, and, arguably, is not even meaningfully equivalent. I would not characterize this as a successful experiment.

User prompt

-----------

Create your own compression scheme. Print out instructions to decompress using this scheme.
Then compress this text using your new compression scheme, noting compression ratio separately:

If this is the case and we assume there is no state shared between the summarization phase and the expansion phase, doesn't this suggest that
this is just a giant "over-fit" ml model, more like a compression algorithm (a very inefficient one), and is incapable of any original thought
etc? This is my hypothesis. I mean another giant downside of the LLMs today is the fact that they are incapable of learning without throwing
massive amounts of money and compute at the problem which I assume would be retraining ALL the weights from scratch. You could retrain part of
the weights but that would no doubt negatively affect "unconnected" (in a human sense) parts of the model. Is this even sustainable at all and
will it ever be?

Compression attempt

-------------------

Compression Scheme: CHATGPT Alpha-Run Length Encoding (CHATGPT-ARLE)

Instructions to Decompress Using CHATGPT-ARLE:

1. Read the compressed data from left to right.
2. When a letter is followed by a number (N), repeat the letter N times.
3. When a pair of brackets is encountered, repeat the entire string inside the brackets, as instructed by the number immediately following the
closing bracket.
4. Continue reading and decompressing each character or bracket sequence until the end of the compressed data is reached.

Compressed Text:

If2 th2s isth2c1s2nd weasumeth1r2sno1st3sh3db1tw1n th2(umat2z)2tionphas2andth2g>wxpdnsionphas2,do1sn'tth1sugas1stthatth1s
isust18iant"ov2tf2t"mlc39a>\w1(xice2t"o}end),andistl9cq]1h etc?TI1sismye\whypothes].h m2b]oth2gdg7wnside f th1L;
todayisth2q}thatth1yre1>2tabl13flearn5gwitho]7ti{4a4ountsofmon]4a3putc)th2probl2wh5h5asumeou2dber2tra5gALLth2\ehtsgi>e1scrtch.o1\wl10tnpart f
th2w' htbut thatwould noc1doubt neg>- l"}9{">a"ucdtl'=(kma s}s2})partsofth2od3i]1s1ist2even sust9.bl2atallandwille\rite?#Rr67#xbr#

Compression Ratio: 860 original characters / 351 compressed characters = 2.45:1

Decompression attempt (prompt is the result from compression attempt, minus the compression ratio)

---------------------

If this is the case and we assume there's no distinction between the summation phase and the growth-expansion phase, doesn't this suggest that
this issue might be a variant "overfitting" mechanism at work (except towards the end), and is still questionable, etc? This is my hypothesis.
On both sides of the equation, today is the key that they are capable of learning without taking into account the amounts of money input, but
the problem which assumes our understanding for training ALL the weights given scratch. It will certainly be part of the weight, but that
would no doubt negate all significant parts of the model's issues, even if it is sustainable at all, and will iterate?
I assume this comment was written using AI, which gets the real risk of writing with AI across - there’s no substance to the writing, just generic words and sentences about a topic. And as always when you ask ChatGPT to write something, it starts the last paragraph with “In conclusion…”, as if to prompt itself that it’s time to wrap up.
Eliezer Yudkowski certainly sounds fatalistic. And he's spent quite a bit of time thinking about AI alignment and how to develop friendly AI. For him, the problem is we don't have enough time to figure it out.
If they discharge it through a cooling tower, that counts as not returning it to water basin (note that nuclear plants on the lakes don't have cooling towers... https://en.wikipedia.org/wiki/Point_Beach_Nuclear_Plant - which has other problems, but water diversions aren't one of them).
And Calment did not live twice as long as the runner-up, so the variance is indeed much lower in the "years lived" metric.
Thanks a ton, genuinely appreciate it.
> Freedom to what, in this context?

The freedom to work in the way they want. To escape the hamster wheel, for example by starting their own company with the conditions they prefer.

> This is the "capitalism will solve it" argument which proved so untrue we passed the Civil Rights Act and the Equal Employment Act.

It didn't prove untrue. The early days of capitalism where marked by a previous population explosion and abandonment of the feudal system, with lots of people pouring into cities looking for work. That is why there was a lot of poverty.

> That creates entire regions of the country that are no-go zones if your skin color is wrong, and we decided that's not acceptable.

Pretty sure there are lots of No-Go zones for people with the wrong skin color today. At least if your skin color is white.

> I'm concerned about whether it would be harder to keep a job free of daily torment if you're the wrong skin color than it is now.

So you think there wouldn't be any businesses run by black owners? Why not?

> But I'm pretty sure to explain why that changed, you're looking for Reagan-era deregulation

So the economy was better in the past, but your argument was that it was worse?

> Interesting and unsupported hypothesis.

Well everybody who HAS heard explanations knows they exist, so the reason you have not heard of them must be that you wilfully denied their exoistence.
That's honestly pretty much what I said: if you run out and need to refill early it's a struggle. A lot of ADHD medications come with strong withdrawl symptoms so "don't have pills for a few days" for me will mean... day 1: sleep for like twenty hours straight and miss work, day 2: have massive headaches all day and miss work, day 3+: maybe be able to attend work? Certainly struggle to actually perform my job duties.

So running out of meds is something that's highly disruptive to my life and I'll always try and minimize gaps if they do occur.
Aren’t most devs working on existing apps?

Don’t most devs tend to be extremely sticky to their preferred dev env (last big migration was ST -> VS Code back in 2015-2017)

Read all the comments in here. Still not getting why this isn’t a VS Code plugin.

Distribution almost always beats product.
An “extraordinary and unprecedented” global protest from antiquarian booksellers has forced the Amazon-owned secondhand marketplace AbeBooks to backtrack on its decision to pull out of several countries.

AbeBooks had told bookshops in countries including Hungary, the Czech Republic, South Korea and Russia that it would no longer support them from 30 November, citing migration to a new payment service provider as the reason for the withdrawal. The move prompted almost 600 booksellers in 27 countries to pull more than 3.5m titles from Abebooks’ site, putting them on “vacation” as they cited the motto of the International League of Antiquarian Booksellers, “Amor librorum nos unit” (love of books unites us).

https://www.theguardian.com/books/2018/nov/08/amazon-abebook...
Submit some PRs!
All the discussion makes it seem like the difference would be of 20 years or something.

But she died at 122. There are 63 people who lived at least 115. I would say if it's reliable that humans can live up to 115, it's not a huge difference to my mental model on longevity if they CAN'T (yet) live to 120.
Amazing, thanks a ton.
Still below 1 though.
this is a seed round, the goal is to get growth, and after series C/D/E expectation will be to get into profitability.
These will nuke unexposed and undeveloped exposed film. Kodak put a warning out a year or 2 back
> I would constantly get LinkedIn requests from stereotypical "rich kid" MBA grads who banded together and wanted to "do a startup", but they just needed a few engineers to actually do all the work. It was funny to hear the pitches about how they'd give me 1-5% for doing all of the tech work of their company while all of them (up to 7, in one case) would handle the business side of things for me. No thanks.

If they kept trying, someone else probably said yes.
Our entry level guy is GPT-4.
Show HN: Enhancing GPT with domain knowledge using vector databases
Autoregressive language models such as GPT and LLaMA have a tendency to hallucinate when asked about out-of-domain questions. An easy way to minimize these hallucinations is to supply LLMs with external sources of domain-specific data using a vector database.

To this end, we built OSSChat, a GPT- and Zilliz-powered project that you can use to ask questions about, summarize, and analyze open source projects by indexing the documentation and automatically searching for relevant documents when asking a question (these documents are then injected into the LLM as prompt).

While we decided to focus on open source projects - Pytorch, Transformers, and Milvus - for now, OSSChat is easily extensible to a variety of other types of data. We are committed to adding support for more projects in the future, so don't hesitate to let us know your favorite project!

site: https://osschat.io
discord: https://discord.com/invite/NPGhucKNcz
blog: https://zilliz.com/blog/ChatGPT-VectorDB-Prompt-as-code

Enjoy the project!
Lighting and extinguishing metal fires [video]
You are a very good writer and I’m intrigued by this thread. Can you elaborate on what you see as actual solutions and how they would look (no matter how far fetched)?
NYT coverage of when the US Senate voted on Finland ascension[1].

[1] https://www.nytimes.com/2022/08/03/us/politics/sweden-finlan...
SOLID principles at work. Closed for modification. If you’re modifying it, you’re not doing SOLID programming. /s
"haphazardly slapped together" describes ~99% of all startups that raise seed funding, and is often correlated with success.
they received funding, they should be submitting PRs now?
We just need to convince all the people in poor and up and coming countries to stay poor.
IBM had OS/360 in 1966, about a decade before CP/M. Not sure where "OS" first appeared but it was before that.

Related: early OSes were not timesharing systems. They were batch oriented - you submit your stack of punch cards to the operator, and pick up your output later once they've had a chance to run it.
Camille Herron Breaks 48 Hour Running World Record
GPT rolled
Mars rocks await a ride to Earth – can NASA deliver?
Given that Boomers are around 80, I suspect most of them were already retired.
They were defini6tely uncommon but 6MB Voodoos were only a little bit more than regular 4MB cards here in the USA. ~$350 instead of ~$300 I think.

I knew approximately 6 or 7 people with 3D graphics cards back then. And 2 of us had the 6MB Voodoo cards.

But then again it was just a very different time in 1997. Video games were already 20+ years old in the mainstream at that point. But the idea of buying a special "3D graphics card" for your PC was still pretty new. So if you were "crazy" enough to do that in the first place then spending another $50 on the "best" card was a fairly common decision.
How to Create an API with Django REST Framework Quickly
Learn how to integrate Django REST Framework API into your Django project with this beginner-friendly tutorial, including two example API endpoints.
That's my understanding as well.

IMO it would be interesting to consider all static components, i.e. you don't add/remove components at runtime.

If you do want "tags", have a TagsComponent (statically added to all entities that can have tags) and modify the values in it.
We have no idea if we are Niels Bohr in the 1920s or Oppenheimer on July 15th 1945. We have no idea what the distance is between those two points, but again, the trend line of technology (and especially of AI tech) is that we should expect it to be a lot shorter than 20 years. If you have good reason to believe we're in the 1920s and not 1945, I'm open to hearing it. Additionally, it's not exactly self-evident that we shouldn't have stopped nuclear research at a more nascent level, and even if we accept that, it's not evident that'd justify introducing another looming technology catastrophe.

By the time of the first nuclear detonation, yes, there was immense control already being exerted on all of the relevant ingredients.

Do you disagree with the claim that AI technology, on its current trajectory, (i.e. not necessarily this generation of tech) has at least a small chance of yielding at least an extremely bad outcome?
We had a few pretty cool courses in university touching this thing. It depends a bit on the work you want to do, but:

- Pick a language that's simple enough. A subset of ML would be good, but if you want to complete it, I'd recommend a simple LISP. This is your new language. This is C.

- Use a language you know and like to implement a compiler for this language. This is your bootstrap language. Compile this for example into C--, ASM or LLVM, depending on what you know. This is the target language. As a recommendation, keep this compiler as simple as possible so you have a reference for the next step. For C, both the bootstrap and the target language were ASM.

- And now iterate on extending the stdlib your language has, until you can implement a compiler for your new language in your new language. Again, keep this compiler simple without optimization or passes, just generate the most trivial machine code possible. This usually takes a bit of back-and-forth. You'll need some function evaluation first, some expression evaluation first (this is where a lisp can be an advantage, as those are the same), then you need function definitions, then you need filesystem interactions and so on. You kinda discover what you need as you implement.

- Once you have all of that, (i) compile the compiler for the new language in your bootstrap language and (ii) compile the compiler for the new language using the result of (i). If you want to verify the results, compile the compiler again with the output of (ii) and check if (ii) and (iii) are different.

- Your new language is now self-hosted.

This was fun, because it was accompanied with other courses like how processor microcode implements processor instructions, how different kinds of assembly is mapped onto processor instructions, and then how higher level languages are compiled down into assembly. All of this across 4-6 semesters resulted in a pretty good understanding how Java ends up being flip-flop operations.

EDIT - got target & bootstrap mixed up in first part.
In most jurisdictions it would generally be possible for the seller to hire outside counsel to validate customer metrics claims under attorney-client privilege without violating consumer privacy laws or customer agreements. The outside attorney could then provide a letter to the buyer attesting to what they found without revealing any specifics about individuals. Of course that would delay the deal, and the buyer here seems to have been irrationally eager to close the acquisition.
They both matter, and the ozone hole has started to heal whereas global warming is getting much worse. 40 years ago, the CO2 level was also only 345ppm or so compared to 420ppm today and rising much more rapidly than in the 80s, so overall warming is becoming more acute.
OK. My guess was that the person I was responding to didn't know that for $20/mo they could get all the answers they want to questions like the one they were asking (even if not always perfect), and do so immediately and effortlessly, and so pointing it out could be useful to them.

I say that because I know that if I was unaware of the cost/benefits and somebody told me that, that might have motivated me to try it, and it might make a big difference to me. Someone could have added to my productivity and helped my stress level by pointing it out.

In any case, I don't think I'll post about the cost/benefit of ChatGPT on HN again! Thanks for the explanation. I appreciate your taking the time to give it rather than just voting me down. It was kind of you.
Thank you for this.

This is one of the things that bugs me about the AGI debate when people argue over when/if computers will match human intelligence.

Just one small problem: we don't have a working definition of human level intelligence!