skysight-inc/HackerNews huggingface dataset:
Just to add to this, digital payments in India got popular well before COVID, significantly increasing after the demonetization charade (which imo was a bad decision and total chaos).
Yeah, tech has really fucked up the whole gambling ecosystem in the US in a way that is going to have ugly consequences in the not too distant future. It use to be that to gamble legally, you had to travel in remote places (native territory, Atlantic City, Las Vegas.) In the last five years RobinHood, FanDuel and the like have totally steamrolled over all the regulations and safeguards. It's on demand, 24/7 wherever you are, on any day of the week. They'll even let you trade on margin. In ten years this is going to be bad, like a social problem on par with drug addiction to opiates.
https://i.imgur.com/NBvbxdD.png

You are underestimating GPT-4's eagerness to please.
Bitcoin is too rigid because it can't respond to economic cycles. But an AI-powered digital coin that is optimized for the specific goal of growth may be.
> if something is so complicated it can only be understood with a picture, it's too complicated

Absolutes like this contribute significantly, depending on the perspective they're spoken from, to the anti-intellectualism in our society today, or to a culture of elitism.

For the first, some things are complex, and that complexity is part of the real-life systems and structures they have to interface with or represent. Explaining complex things with a diagram can be an extremely effective method for making what might otherwise require a very high cognitive load much easier to process.

And for the second, if someone needs a diagram to understand something complex, it's not because they're stupid, and insisting that everything worth explaining can—and must—be explained in text only does them a disservice.
The only reason the 10+ authors (all plenty skilled in Haskell either before joining or due to working on the project) were all gone is because said senior came in and pushed them out. As I said, the team was fully functional, in production, low bug rate, generally happy.

Is it really cheaper to rewrite an entire working system (that took a year+ to build in the first place) than to just learn something new? I have learned a new language in order to inherit a working, hardened, well-made system before. But I am finding for certain senior engineers, the answer to "can I learn a new language" is a resounding no. The cost is infinite, so of course it's cheaper to rewrite. Plus they are incentivized to rewrite thanks to political reasons (i.e. it's a great way to get promoted).

The last time it happened, I was lucky enough to be accidentally shielded from accountability due to the organizational quagmire that resulted from the team blowing up. I basically got to do nothing for a year and make $200k. And I got to be less than useful to the principal who made the powerplay (not -10x level but I did get to spend time maintaining the existing FP system due to it having a single production consumer left). That dude did not like that I never turned my camera on. My manager also seemed pretty checked-out, so that was extra buffer.

So to summarize, I'll say that it's easy to have be prescient when you make self-fulfilling prophecies. That's one skill I've learned from senior management over the years.
Can it reasonably take a month to export the data from Goodreads? I barely use it but from what I recall its basically lists of will-read and have-read right?

Is that delay strictly a "cooling off" sort of tactic?
The entire controller industry has this problem. From the base to the top end, controllers fail like crazy due to "stick drift." It's planned obsolescence.
I am working on a cloud gaming service, that should go public beta by the end of the year.
If the goal is to keep people warm. There are many reasons to heat a room beyond personal comfort. Keeping pipes and other equipment warm is a big one. Prevention of water damage, keeping the dew point outside the vapor barrier, is another. For such thing you need to warm the entire room, not just those surfaces with line of sight to a radiant heater.
It seems that it is an internal server error, it may come back the next month, maybe in a year, but if Google continues to index it, it is because it is still alive.
And in plenty of cases weren't seen as actual people.
Ending an Ugly Chapter in Chip Design
Which is weird since they probably used a LLM to write that article.
Good point and feedback, thank you. We'll update readme.

A lot of UX, UI, DX work related to LLMs is completely new. We ourselves have a lot of new realizations.

> While you mention that you can bring your own model, prompt, etc, the current main use case seems to be integrating with OpenAI

You're right. This is because we started with OpenAI and to be fair it's easiest to use from the DX point of view. We want to make it more open very soon. We probably need more user feedback to learn what would be the best way how this integration should look like.

> How, if at all, do you plan to address the current shortcoming that the code generated by it often doesn't work at all without numerous revisions?

The AI agents work in a self-repairing loop. For example they write code, get back type errors or a stack trace and then try to fix the code. This works pretty well and often a bigger problem is short context window.

We don't think this will replace developers, rather we need to figure out the right feedback loop between the developer and these AI agents. So we expect that developers most likely will edit some code.
By the time that problem is solved, GPT-8 will be out, and even GPT-4 can be used to help reduce the number of studies (making a table of the studies and asking questions about it).

Reproducibility is getting better, but still a huge problem (we can't forget the billions of dollars of funding that went to Alzheimer for a scam paper)
Greed is human nature.

Corporations aren't charities, and that isn't a problem.

This is corporations exploiting a broken political system, where some politician is always willing to sell out future generations to stay in power for another day.

We would be much better off focusing on that problem than trying to hope people and corporations go against human nature and stop being greedy. Hope is never a good strategy. And leopards don't often change their spots...
To be fair, the joycon was drifting only once in a while (which is super annoying when you play platform games). I am not sure it was worth their time to try to reproduce for too long.
> geographical sense in putting a fab in Arizona

Geologically stable and proximate to rail and truck junctures.
Show HN: Open-source R Package for Benchling developer platform
We created a R package for working with the Benchling developer platform. The functions in the package streamline some of the common data science / engineering operations we do, such as joining tables in the data warehouse, downloading file attachments, extracting tables from notebook entries, and creating results. I hope the community finds it useful. Feel free to open an issue on GitHub if you have a question. You can also DM me on Bits in Bio if you'd like to discuss the package or if you are interested in contributing.
I'm super stoked that hardware / EE is getting so much more focus and interest from software engineers. It really feels like there is so much room for improvement / optimization in that space and for so many years, it was like this black box that nobody wanted to look inside.
I'm not saying humans consistently make good games, but we do know that humans can make good games. The question is can ChatGPT. If it's supposed to reach a the ranks of a general intelligence, it should be able to. I'm not sure how it can.
I read the front page of this site, and I still have a general question about ECSes. For what it's worth, I'm developing a DAW (digital audio workstation) in Rust.

It seems that ECS helps compose "things" (an entity) out of groups of data (each a component), and then operates upon combinations of those components (using systems). My domain is organized around behavior (many musical instruments implementing a Rust trait or interface, such as MIDI), but the data constituting each instrument is totally different. So the behaviors are the same, but the data is different. It seems that ECS isn't a fit, which is a shame because the implementations I've seen offer cool features like easy parallel processing, querying, and so on.

Is there a design pattern like ECS but for common behaviors instead of common data? Or am I being dense and not seeing how ECS actually is a good fit for this situation?
How dare you? AI pioneered that kind of empty promises decades before blockchain was even a thing!

But, seriously, this is just a "look at me!" scream to get customers or investors. People do that with every single thing (doesn't even need to be an actual thing), and it's no fault of the thing at all. It's not a matter of being there yet or anything, it's just dishonest people.
It would be easier if you simply wrote "we need to get rid of all employee rights laws."

> Your argument was that

No, my argument was that the two situations are not meaningfully comparable. I then explained why.

Even if the law isn't good or correct, the two situations are still not meaningfully comparable, because the awarded damages requires that the law exist.

> simply quit their jobs if they are unhappy with their work environment

Ahh, sounds like a libertarian in favor of the Lochner era. I strongly disagree with what I see as a naive belief in the freedom of contract.

As you correctly point out, it means allowing racial and sexual discrimination in the workplace, with people like Oncale quitting his job with Sundowner because "I felt that if I didn't leave my job, that I would be raped or forced to have sex."

That's the freedom of contract you want.

Those were not good times to be an lowly employee. I suppose they were great times to be a manager and business owner, if you didn't care much about others.

> get a relative a position at Tesla, which seems odd if he thought the work environment was so bad

While I haven't read much about the case, it's clear you've read far less. From the judge's opinion in the first trial, at https://casetext.com/case/diaz-v-tesla-inc-4 :

] After several months at Tesla, Diaz recommended that his son (and former plaintiff) Demetric Di-Az come to work at the Tesla facility. See, e.g., Tr. at 503:8-16. He testified that he “did believe he would be in a different location” so the situation might be different for him. Id. at 503:11-19. He said that he could not recall whether he warned Di-Az about the racial harassment. Id. at 504:5-11. At one point, Diaz witnessed a white supervisor yell at Demetric that, “I can't stand all you [fucking] [N-words].” Id. at 419:18-24. Diaz said that it “broke” him. Id. at 420:1. He testified that, if he had to do it over again, he would not have recommended that Demetric work there, calling it his “biggest mistake.” Id. at 420:2-5.

Note that his son was a co-plaintiff in the lawsuit. The opinion doesn't say why it was dismissed, but the other co-plaintiff settled the case with Telsa.
Tax law also needs to be complicated to hide all the loopholes used by the wealthy to avoid taxes altogether.

What we desperately need is a hard reset of the tax code. Simple straightforward progressive tax brackets with no deductions whatsoever. If I overpaid send me a check. If I underpaid send me a bill.
I guess people want to believe that if only they were born with more privilege they would be happier and have more freedom to fail. I find that attitude makes the person and circumstances. I won't deny having one's mom rub elbows with the chairman of IBM is a very rare privilege.
>You already know what I owe or don't owe.

No, they don't. They don't know if you acquired a dependent or lost one. They don't know if you are entitled to an EV credit. They don't know if you are landlord with rental income and expenses. They don't know if you donated to charity. The list goes on and on.

> If taxes were simplified, Americans would be willing to pay more

Any support for that claim?
Date | Who is hiring? | Who wants to be hired | ratio

Jan 2017,939,275,0.29

Feb 2017,1236,106,0.08

Mar 2017,1069,114,0.10

Apr 2017,956,163,0.17

May 2017,1096,236,0.21

Jun 2017,994,101,0.10

Jul 2017,982,105,0.10

Aug 2017,955,224,0.23

Sep 2017,957,113,0.11

Oct 2017,1136,126,0.11

Nov 2017,1199,145,0.12

Dec 2017,1000,69,0.06
That doesn't describe most generational wealth.

A family house is generational wealth. Most people who at age 65-75 are worth over $1 million dollars didn't get there by using the power of law to stay on top or profiteering from slavery or genocide. That's insane.
Quality is objective, value is not.

Can Midjourney copy DeviantArt/ArtStation to levels far beyond mine? Yes.

Does the market value DeviantArt/Artstation output to any level? No.
We need a more sophisticated debate, but we're not going to get it from the Financial Times.

Large language models are alien. They are a new thing, not artificial general human-like intelligence. They sort of think, but not at all like humans, and not at all like previous concepts of artificial intelligence from science fiction.

We don't really know how they work inside. They show indications of developing some kind of internal world model. They can play chess and Othello. But we don't know what form that world model has. They do not, in a fundamental sense, know what they are doing, and are prone to serious errors because of that.

Despite this, they're really good at language-oriented tasks. This is both useful and upsetting. Humans have now had shoved in their face that many tasks considered "intellectual" can be done by systems that internally are simple, but very large. It also makes humans realize that much human intellectual activity is just autocomplete. This includes tasks previously considered high-value.
This is terrifying to humans who thought they were on top and fear becoming obsolete.

On top of this, they're at least as good at emotion, convincing, and lying as humans. Better on those than on accuracy, in fact. Nobody expected that. The major companies in the field are frantically clamping down on the emotion and lying part. The convincing part will get monetized.

If regulation is needed, it should be related to what companies are allowed to use this for. The EU does not allow computer systems to make un-appealable negative decisions about humans. (Does that still apply to the UK, or did the UK "deregulate" after Brexit?) That's a good starting point. A requirement that computer systems which interact with humans for commercial or political purposes must be identified as automated systems is a good next step. That's a starting point.
It's amazing how fintech can create actual value when they aren't all just fighting over who gets to salami slice a nation's commerce!

> Digital payments have taken off in a big way in India in recent years due to the government’s unified payments interface (UPI)... But this boom hasn’t helped fintech companies in India as they do not make money from facilitating UPI transactions.
Thanks for sharing this, I always figured the contacts in WWTBH would be mostly low quality (similar to recruiter spam) so never bothered before. But now that I actually think about it some of the best jobs I've ever had were companies that approached me.
Writing is almost never the issue. It's debugging that is the absolute nightmare, because it is so tedious to reconstruct what happened in terms of low-level things. Without names, data structures, functions, human memory quickly becomes overwhelmed.

The most complicated assembly I've written recently is a fast Wasm interpreter. The only way I could tackle it effectively was to write the implementation of just one or two bytecodes at a time, test them thoroughly and in isolation. We're talking about writing only a handful of instructions per commit. There's just no way you can debug much more than that at a time. You need to build little bricks of fully-working code and stack them, ratcheting up the progress, so that when something breaks, most of the things you don't need to debug.
>At any rate, if AI is busy automating away labor, then the world is getting more efficient. And that means there are more resources to support people.

If the world is getting more efficient, then why would those resources go to people that are intrinsically less efficient? The current state of the economy is to funnel capital to those who efficiently allocate; the amount of intentional inefficient allocation reduces as efficiency grows (as the world gets more productive, less of this output lands in the hands of workers). Why think that the distribution model will change significantly in a timescale relevant to people?

Our culture takes it as axiomatic that more efficiency is good. But its not clear to me that it is. The principle goal of society should be the betterment of the lives of people. Yes, efficiency has historically been a driver of widespread prosperity, but it's not obvious that there isn't a local maximum past which increased efficiency harms the average person. Historically, efficiency was driven by innovation that brings a decrease in the costs of transactions. This saw an explosion of the space of viable economic activity and with it an explosion of prosperity. Productivity and wages remained coupled up until recent decades. Modern automation has seen productivity and wages begin to decouple. Decoupling will only accelerate due to AI. We may already be on the other side of the critical point.
>In the article, they are styled as a "content writer"

They're also an editor for the newsletter:

"Journalists can be broadcast, print, advertising, and public relations personnel, and, depending on the form of journalism, the term journalist may also include various categories of individuals as per the roles they play in the process. This includes reporters, correspondents, citizen journalists, editors, editorial-writers, columnists, and visual journalists, such as photojournalists (journalists who use the medium of photography)." [0]

>but I guess scare quotes around journalist fits the picture you are trying to draw better?

No drawing any pictures here, they're technically considered a "journalist". QED. The scare quotes are there because journalists "collect/gather information in form of text, audio, or pictures, processes them into a news-worthy form". Except nothing that SJWs opine about is news-worth, hence the quotes. QED.

>They are stating a fact WITH a citation, but it annoys you?

They are not stating facts, and the citation does not have data that supports their conclusions.

>I never understand this false outrage

I'm not a child nor a leftist. Don't misinterpret annoyance with neo-Puritanical performative Wokeism with "outrage".

>Females and minorities have minuscule numbers in tech

This is objectively false.

>having a modest attempt at growing numbers has a big backlash.

"People are upset because they're targeted by my brand of racism/sexism. I don't get it!"

>And in THIS case, the fact cited is that disadvantaged people are MORE likely to lose their jobs.

They're not disadvantaged, and they're overrepresented in the roles that are being reduced (HR). Remember your rule: "any inequality is inequity". Glad they can fire some of these women and hire men in HR since men are underrepresented in these roles.

[0] https://en.m.wikipedia.org/wiki/Journalist
New Planetary Defense Strategy (US)
It's so hard to say because of all the noise and hype around the issue. If what the AI evangelists are saying is true, then no -- this is a very different thing than those, and none of this applies to them.
More than the usage, a lot voted against the business model and the nature of e-scooters. There are a environmental disaster, they get destroyed / lost after only a few months. They are found everywhere and especially in canals / the Seine. They also need a fleet of precarious workers at night to get recharged.

The private e-scooters are not banned.
https://en.wikipedia.org/wiki/Prevailing_winds
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?
The entire controller industry has this problem. Even ~$200 controllers do this; the Xbox Elite 2 for example was/is infamous for it.

Everyone I know who plays on controller complains about the failures.

In +20 years of using mice, guess what I've never had fail?
I’m responding to the idea that MLops infrastructure is heavily underestimated. In which case you need more time, expertise, infrastructure, etc. than previously realized. AKA money

I agree with everything you said for whatever it’s worth. I’m mostly just making the observation that there is a lot of machine learning endeavors that aren’t generating much value.
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Fraud was another reason for the emergence of these sound boxes.
Android store was filled with fake payment screenshot generator apps. People would show the (fake) payment screenshot and leave the shop premises (saying “must be a network problem at your end.”)

After multiple complaints from merchants, Paytm and the likes innovated this affordable idea.
Those are 100% not comparable metrics.

What you breathe out is mostly what you eat, and most of the carbon there is part of a continuous carbon cycle. A part of it comes from fossil fuels, mainly transport and energy to power the Haber Bosch (the source of most of (organic) hydrogen in your body).

LLM training process consumes practically only energy. As such, it could very easily be replaced by carbon-neutral sources (nuclear, solar).

All of the CO2 of a airplane flight comes from fossil fuels, and there is not viable technology to replace that yet.
You have the confidence of an amateur mathematician claiming to have found a rational number equal to the square root of 2. I encourage you to take your peers' criticism to heart, but I understand from years of experience that you won't believe that a stove is hot until you have burned your hand.
>The kind of upper-class Harvard grad that VCs like are most definitely of the old money variety.

Do you have any evidence for this?

[edit] Of course, you'll likely be able to find a single case and that's any evidence. So how about is there sufficient evidence to support your conclusion that "old money" is getting all the VC funding?
Show HN: How to fetch historical data from the chain
Sup HN!

I wrote this blog post showing different tricks to access smart contracts data. It shows how to make a simple read, read private variables, and simulate transactions in the past and in the current block. I hope someone here finds it useful!
You can use these tricks to audit the APY that you see in some front ends. That's what we do to track vaults at defireturns.com.

See ya!