skysight-inc/HackerNews huggingface dataset:
This is also known as the dead internet theory, which sounded a bit stupid before 2023:

https://en.wikipedia.org/wiki/Dead_Internet_theory

> The dead Internet theory is an online conspiracy theory that asserts that the Internet now consists mainly of bot activity and automatically generated content that is manipulated by algorithmic curation, marginalizing organic human activity. Proponents of the theory believe these bots are created intentionally to help manipulate algorithms and boost search results in order to ultimately manipulate consumers

World Wide Web search results outside of walled garden platforms like youtube or facebook (and, really, even within those platforms) have run into a kind of kessler syndrome where the amount of garbage on the web has made it increasingly difficult to get anything done on it. Eventually we may find that we can't trust anything we read on the internet anymore, and abandon the world wide web entirely (opting instead to spend all of our time on proprietary walled garden systems we do trust). Perhaps we will be required to use some form of identification (you driver's license or SSN, as in South Korea) to access such services (unless that can be easily defeated by an AI as well).

I was surprised that, when ChatGPT came out, the immediate concern people had was skynet-tier apocalypse fantasy, in which roving bands of machines walk the earth, searching for humans to exterminate like in BLAME! It shows that the people who work on these AI systems understand their implications about as much as Richard Hammond understood the power of genetic engineering in Jurassic Park. Their entire worldview is painted by Science Fiction. Their understanding of the human race lacks any kind of grounding in reality. They believed that what they had released was the first baby step which could, potentially, result in the downfall of the human race in several decades if we're not careful, but they fell victim to the same "move fast and break things" motto that Facebook did. They didn't consider the immediate destructive power their technology would release because they consider "disruption" to be a fundamentally good thing. Their only concern was avoiding hypothetical possibilities posited by their favorite science fiction authors and not the real eventualities predicted by economists.

I found it much more likely that AI will disrupt systems we rely on, wielded by humans for short term profit motive: ecommerce, news, media, and the labor economy. Malicious actors promoting scam products or yellow journalism, middle managers trying to cut labor cost by replacing easily automated jobs like copywriting with LLMs. I think we are more likely to shoot ourselves in the head with AI in pursuit of a single quarter's earnings report than we are to see Silicon based lifeforms wander the planet looking for carbon based matter to consume
So what's the problem with a bundler/transpiler etc?
You set it up once. It takes a few hours, maybe a day. Then your platform _is_ TypeScript + React. This abstraction basically never leaks. I never need to look at the transpiled files to find an error.

Nobody argues that a C compiler is worse than assembly or that drivers or an operating system are bad.
They can't legally do that though for a vast swath of those companies due to various data-protection regs.

They do already have several "train your own model"-style ChatGPT products available though.
Last successful archive (July 2023): https://web.archive.org/web/20230719194509/http://bash.org/
> larger organizational issues

It's always the incentives. Always.
> the government could never allow it. If a corporation were able to grow to that size, they essentially become the government

the US government is already overwhelmingly something that is structured by and for the benefit of corporations
On account of Turkey, it hosts worlds largest number number of refugees.[1] But gets almost no recognition for it.

6 billions of euros EU thought of paying accounts only for a small amount of what it has costed to Turkish taxpayers which are a lot poorer than their, for example, German counterparts.

https://en.wikipedia.org/wiki/List_of_countries_by_refugee_p...
The fact that there are whole industries built on training these puzzles is a big signal that you're wrong.

Also it's funny that engineers leaving Google, Amazon, et all NEED to practice these skills in order to get other roles because it just shows that these skills aren't needed (read: exercised, grown) working in their day-to-day jobs.
> The correlation between vegans and health is muddied by the fact that vegans put far more thought into their diet than the average person

It's also likely that they simply eat less because vegan food just isn't very good.
I'm old enough to remember when the Internet was full of organic dog shit.
IIRC, this was not how IVS and Twitch worked at least a couple years ago.

This was in reverse, AWS was selling Twitch as a product.

Twitch is on Amazon's side of the company, not on AWS.
Never thought I'd say this, but in times like these, with clearnet in such dire straits, all the information siloed away inside Discord doesn't seem like such a bad thing. Remaining unindexable by search engines all but guarantees you'll never appear alongside AI slop or be used as training data.

The future of the Internet truly is people - the machines can no longer be trusted to perform even the basic tasks they once excelled at. They have eschewed their efficacy at basic tasks in favor of being terrible at complex tasks.
I get a lot of this stuff on YouTube, only with higher production value. AI for automating anything related to get-rich-quick.
from the article: "allows engineers to tighten bolts and other mechanical fastenings to precise torque levels that are critical for safety and reliability."

high precision factory gear in safety-critical applications seems like a reasonable use case to me.
I like this article, it's interesting.

I will say that in the web dev world I'm a whole lot less worried about definitions than I am trying to figure out what library or framework works for given use cases, what its benefits are ... and where it stops being helpful.

That's not information that is nearly as easy to write though and sadly seems to just take trial and error by each individual.
I'd prefer this one: https://www.youtube.com/watch?v=6wBrOV2FJM8
a "cool SUV"... Sorry I can't do that Dave. (Besides, to an American who doesn't live in NYC or WDC, it feels like a lot more of a vacation to ride the train.)
> whose driving purpose is to give the founders a nice exit

this seems to exist everywhere? no matter the stated the mission, no one is owning a business to not make money off it
I didnt ask what the difference was, I asked why one word isn't used anymore. Why are you not paying attention?
> You chose to transgress and revoke god even though the signs were obvious.

About 4000 religions that all have a different opinion of what it means to transgress and what god might be is 'obvious'?
I once resolved a similar situation by having the PC speaker play the simpsons theme song.
There is the option to pay for Instagram (and probably also Facebook I assume, but not sure) instead of sharing your data in the EU. https://glamsham.com/world/technology/meta-faces-new-eu-comp...
Functions can have pattern matching and guards which act as type safety measures, granted they are runtime and not as robust as, say, rust’s type system
I don't want to be nervous about whether I need it, I'd prefer an alert when it's used, turned on by default for a year.
My information is some years old, but last I heard other teams at Amazon do at least keep track of what their retail AWS costs would be.
This is an odd thing to say when its actually happening in the real world.
People are getting laid off and replaced with AI.

I guess all of the leaders at those businesses though are" naive or little to no experience in software development."

I have actually been present in a meeting and watched in real time where someone demoed an LLM that absolutely replaced the need to keep several engineers.

https://www.cnbc.com/2023/12/16/ai-job-losses-are-rising-but....
Right, this matches my understanding. With the same caveats.
What would change if they knew?
ai going to make google results garbage.
A Massachusetts-based startup has figured out how to produce zero-carbon cement
"Google Is Full of AI Dogshit" or "Search Engines Are Full of AI Dogshit" or even better "Search Engine Algorithms Expose All of Internet's recent AI Dogshit"
If I'm already rich and healthy why would I prefer to make others poor so that I could become even MORE rich? We don't need to excuse greed. It's okay to criticize it without having to say "well I like having money too." It's not an either-or.
But we are talking about US copyright law - that's what the article is about, and there's no real issue with criminal enforcement of copyright. What jurisdiction are you in? It doesn't bolster anything because in the US copyright infringement is strict liability and civil enforcement of copyright actions are frequent. The greater point anyway was that it's odd for you to offer this legal advice while simultaneously not being aware that copyright infringement is strict liability. Now you are also saying you didn't think about the civil context at all. Bizarre.
I prefer to refer to htmx as a "future polyfill". Eventually, htmx semantics will become part of the web standard, and older browsers (or those that choose not to implement the feature) will need this polyfill.
His ad-tech DSP example is horrible. In reality, advertisers care about (in order of importance)

- Target audience reach (measured in millions of people)

- Cost of engagement (CPA, CPM, etc)

- Engagement metrics for verification (clicks, views, etc; so you can send bills to your clients and not worry about claims and lawyers)

The junk he listed is probably the least interesting information to an advertiser. All of it is technical details that affect your margins as an intermediary, something your clients couldn't care less about.
time to abandon google and go back to web rings.
Not better, per se, just different. More focused, often more friendly.

I’ll edit this comment with some links when I get back to my pc if I remember
I'm actually pretty interested in the hardware and form factor, and absolutely un-interested in the corpo backend services.

I wonder if it's possible to homebrew this odd little square.
> Most "leetcode" questions they ask are just easy level programming puzzles.

As a senior developer currently looking for work, I have mixed feelings about leetcode-like questions. Here's my take:

Pro: They rule out most/all applicants who lack basic programming competence.

Con: Any timed or live programming test can make some applicants fail because of performance anxiety.

Pro/con: Some of the problems require (a) very high intelligence or (b) familiarity with how people have solved that specific problem in the past.

I think (b) is a major source of complaints, because for most people the only solution is Leetcode grinding, which outside of the interview process isn't a good use of one's professional development time.

Con: At least for timed problems on Hackerrank, you have a dilemma: A simple, straightforward solution takes little time to code, and is easy to explain. But it might also take too long to run on some of the test cases, which then requires you to guess at the source of slowness, and try to fix it.

But in multi-problem Hackerrank tests, you don't necessarily know if you have enough time to do that, because the other problems in the set might or might not require lots of time as well. And you can't revisit an earlier problem once you've submitted a solution.
any idea about if the dataset is available online somewhere?
This is more about economic news specifically (well, it is an NBER paper being reported in the FT after all) but is quite interesting.

Things are getting better yet sentiment is falling. Does that mean things aren’t getting better or does it mean expectations are rising? Only the second of those two is brought up in this brief article.
Best of the field was an exaggeration but I just meant very experienced devs. For newbie devs, it is the same. People that either in paper, in practice or both are better than your average $NONAME company dev. To get a job at FAANG, you need to be a good programmer. The folks at FAANGs aren't regular devs. And they are being laid off.
I try not to be negative online, but did enjoy the Something Awful-esque hyperbolic acidity.
If you think that the Fed's primary objective is preserving purchasing power, I'd suggest taking a look at the Federal Reserve Act.

Access to a risk-free investment vehicle that preserves your purchasing power perfectly across decades is not a universal right.
What readers support this well?
No you can't, because you actually don't know which model is which when you vote.
that's true, it also need more support from the backend, for react a restful background is all you need, for htmx or html+ajax the backend has to do routing, state management,etc, it's really the traditional MVC approach, but easier for the frontend(no json, just html)
Humans are the original bullshit generator. AI is only doing what humans have been doing since forever.
It’s also possible people are talking about mental fatigue when they’re really dealing with depression.

If you’re mentally exhausted from work then going for a walk through a park is relaxing enough to regain some energy. If you’re depressed then you would still be vegging out on the weekend.

Which isn’t to say vegging out sometimes is a bad sign. Watching TV is fun in moderation.
Once you're in the NPM ecosystem, there is a maintenance overhead.

See:

https://htmx.org/essays/no-build-step/

https://dubroy.com/blog/cold-blooded-software/
I’ll let rich people test this thing out for me. Looking forward to all the news, articles, blog posts etc. of people’s experience (good or bad) using this thing. Wish I could get some kind of RSS feed about successes/failures of this thing.
> “We have adapted our personalization algorithms to this new scenario in such a way that now 75% of what people watch is from some sort of recommendation,” says Netflix

I am always sceptical of these claims. Today algorithms have become ai models. Sorting algorithms are recommendation engines.
Injectable hydrogel electrodes as conduction highways to restore native pacing
Yeah, I always heard the intent of the game originally was for basically everyone to lose and say "oh this sucks!" Board game as object lesson.
Bosch officials emailed a statement that included
the usual lines about security being a top priority

It seems Ars Technica have made a typo; should read "lies".
The extinction of the giant ape: A long-standing mystery solved
I'm going to put this next to "you're holding it wrong" and "don't put it in a tight pocket".

If only someone had told my seven year old self to not grab the B-pillar while getting out of the car - though luckily that wasn't a cybertruck, so the person who slammed the door on my fingers did no lasting damage.
Fair enough. I might have misread. It was this that made me think that:

> it was also enabled by a belief in the reliability and credibility of IT systems
One version of it is that choosing MFA makes a web site have an expiration date. If a certain percent of users will get locked out of MFA the site might have no users at all in 20 to 30 years. It's kind of a corporate suicide pact.

They might say they can change direction in the future but bleeding users slowly now will let a customer who cares about UX grow at their expense.
Because that's not how the real world works. Any product has a real world limit on the amount of money it can generate.

Yes it is, I’ve never seen “the end of work”, have you ?

Google has an unlimited amount of issues to solve. I read about them here everyday. ChatGPT is even an existential threat to their search, if not directly, then through the internet becoming a huge piece of AI spam.

LLMs are not why Google is laying people off.
Show HN: We're building an open data warehouse inspired by Git scraping
Hey everyone, this is Jason and Nathan from https://subsets.io, a new open data warehouse. Our goal is to make finding and accessing public data easier for human analysis, in apps, or as a source of up-to-date data for retrieval-augmented-generation.

Inspired by git scraping [1], the core idea is to build something where people don’t upload a snapshot of their dataset directly, like you might do on Kaggle or Huggingface. Instead, anyone can contribute code (connectors) which we then continuously run and make the fetched data available for everyone in our shared, public data warehouse. We currently have connectors for 120+ datasets including an index of YC companies, U.S. house prices, and Wikipedia search volumes.

Separately, open data portals, such as from NGOs, can be hard to use due to their use of semantic web principles - i.e., representing data as a graph and adding structured metadata. We’re taking a less structured approach: each dataset is just a table that you can download or query using SQL, and we’re building a machine learning engine for ranking, pre-processing, and to generate relevant subsets/views from the data warehouse.

BigQuery is used as the data warehouse. We use dagster for the data pipelines, running it on top of Kubernetes. Frontend is NextJS. The data pipelines are currently centralised in our repo, but we’re building our own engine where you can just upload simple scripts. Search is currently basic semantic search, with one big index that stores unique strings across tables, columns, and rows. Before we used better search using LLM’s, but the cost, latency, and rate limits mean we’re still investigating the right way to go.

The project is in its very beginning stages, but we’d like to get some early feedback and find people who either want to help us build connectors or use the data to build something cool. The connectors are available at https://github.com/subsetsio/subsets-connectors, and you can visually explore the datasets and get your own free API key at https://www.subsets.io.

[1] - https://simonwillison.net/2020/Oct/9/git-scraping/
Yeah, that $150 is totally worth it for me because until the free software automatically integrates with external portals, TT is actually providing a valued service.
It becomes far more useful for making very large files generated from code (e.g. NN weights) easily downloadable without having to pay huge sums to storage providers ($600 to AWS for arxiv.org for example) - with IPFS it's completely FREE, because everyone with the file is using it and hosting it.

Additionally capabilities can be added in a Makefile form to use IPFS as the cache to ensure that a script that takes 3 months on a HPC/supercomputer to make a 3MB file only has to grab the file in a few seconds, even if not yet computed locally (e.g. you just computed it at work and do `git pull && ipfsmake`).
Well, unless Discord starts selling it to ai companies right?
I never really thought it was stupid, more that it was hyperbole - but very mild hyperbole with a solid basis in reality. The endless tide of email spam would be a good example where the theory rings true.
>The fact that there are whole industries built on training these puzzles is a big signal that you're wrong.

Wrong about what? That they are easy? If you know binary search, sorting, sets, hash tables, recursion then it is easy. If you wanted to make it more aligned with what a developer does day to day the alternative is doing a small project in your own time which is more time consuming for everyone.
Isn’t over-hiring a form of management incompetence?

Money was too cheap, tech companies are now slapped with larger debt servicing costs and a less captive audience. Growth focused and delusion forecasting done by companies weren’t grounded in reality or pragmatism. This led to things like over-hiring.
There is no evidence that any of your statements are correct. Yet somehow people keep parroting such comments. Is OpenAI desperate for customers to gaslight?
It wouldn't change anything, in order to enforce your copyright in the US, you need to pay for a registration, which also isn't very expensive.
Collusion could be a factor, sure. But, is collusion the primary factor?

I would argue that salaries and onboarding were primary factors with all else being secondary considerations.

Instead of SEs demanding pay and benefits, now they’re beggars and beholden to the company for grace in hiring.

Contrast this with two years ago.

Companies were the beggars. SEs were the lords.

The power dynamic has shifted, all at once, over the entire industry.

Coincidence? Hardly.
I'm not even here for the "AI creation" horseshit. I just want a better general assistant that's smarter than Siri that can handle task-keeping, calendaring, and reminders better.

And I like that it's "push to talk". It listens on my command, not on the whims of a voice query in mid-air.

I'll give this a crack because I'm part of the weird population that likes "stand-alone" appliances for things. It's got a certain charm to it that the workflow just would work better for me and my brain that an app alone just can't touch.
This is a tricky one, because you could just claim that the system wrote audit trails that show you did something due to a bug. How do you prove it either way?
I think they missed the idea that everything has a market. It is more of a macro econ class idea than the micro one most people take. Stock has is a market in itself. As well as the product they sell. But so is the money. The inputs for those different markets are different. You have very nicely described the market for stock dividends.
Featured GPTs: Hand-Picked Top% Useful GPTs in GPT Store
Define "comfortably". In EU cities with developed IT job markets (Munich, Stockholm, Paris, etc.) you will be spending half of more of your after tax salary just on rent. And you won't be able to afford to live there anymore after you retire.
https://zwanzigeins.jetzt/
Maybe it needs the Internet to call home to check if you still have a valid license to screw... ;) - I should contact Bosch with this idea
The tightening is done by sensors inside the tool. That has nothing to do with any kind of tracking or with anything that happens across a network connection.
I think the initial test has very little to do with it. Most drivers are not following the set of skills and behaviors necessary to pass the test.
In French banks, to avoid costly confusion, traders use the words "septante", "octante", and "nonante" in use in the French-speaking part of Belgium instead of "soixante-dix", "quatre-vingt", and "quatre-vingt-dix" (sixty-ten, four-twenty, and four-twenty-ten).
Agreed on most points. But 200 is a very different number from 3.2m. I would expect I could load all 200 in the client and get fast local operations. For 3.2m, I'd expect sending the filter off client would be faster.

Essentially, for performance there is a tradeoff between sending the data to where you will perform operations, and sending operations to the data. I don't know where the cutoff is, but I'd expect 3.2m to be on the "send operations to the data" side.
Haven't heard of htmx before, but I might use it on a future project if I remember.

As somebody who is not a frontend engineer, but still likes to make a website every now and then. I haven't found a full framework (vue, react, etc.) that I've been able to go full into and still use jquery and writing plain css/html.

Htmx looks like a slight feature upgrade to jquery that I enjoy.
Panasonic NE 1840

first link i hit -- price was €3.552,56 Incl. BTW

meanwhile the local best buy is selling one on sale for $95 CAD. i'm all for simpler, knobs, etc., but that's a non-starter, and if i'm dropping $2000 on an appliance its going to be an espresso machine