skysight-inc/HackerNews huggingface dataset:
They do count, but count less every time they raise prices, while dropping titles from their catalogs, and ending popular series within 1-2 seasons, etc.

They are racing to become the very thing that got them the traction they had in the beginning. People are fucking tired of paying more for less, while being told how fucking great it all is.
I'd argue that yours is not a counter argument, but the same thing said by grandparent rephrased. It's obvious that with the same amount of computing power, specialized > generalized. But in 2-5 years, the future generalized models can beat the current specialized ones.
Isn't this tacit verification that Q* is real?
If people continue to learn outside of LLMs and can tell when it is wrong so they can correct it. The slope can be slippery. For those of us who grew up before the rise of LLMs, this isn't really something we have to worry about. But the next generation will be not know what it was like without LLMs, kind of like the pre/post-internet/phone generational splits
Andy Warhol is turning in his grave.

Jokes aside the recent supreme court case involving his estate, as a non lawyer, feels like it's some sort of precedent towards what is and isn't transformation of IP.
IIRC, truly well performing employees there can get very good stock. Amazon hates giving out cash. For a time, even during interviews, they would brag that even Bezos himself didn't make more than about $160k in base pay annually. Stock, stock, and stock are used for incentivization, and Amazon has indeed had some very good market performance over time.
I chuckled reading the ones they picked. ChatGPT is clearly the app of the year without a doubt
As a senior developer: Experience. The output from ChatGPT isn't perfect, but it's good enough to point one in the right direction. The code it outputs is mostly garbage that a good developer would never put into production, but what it does fairly well is finding the relevant bits of documentation.

Example: Using a small part of a new, big, unfamiliar library. Rather than digging through the library docs, I can ask ChatGPT about it, which often points me to the relevant parts, which I then can still confirm in the official docs.
Examples of crude MJ plagiarism.

https://twitter.com/kortizart/status/1588915427018559490/pho...
I’m not going to corroborate the entire article, but my experience from an outage 2 days ago on our new ZFS on Linux file server has left a bad taste despite years of great use with ZFS in the FreeBSD world.

Ok. So, We hit the deadlock that was fixed
here:-> https://github.com/rohan-puri/zfs/commit/8e4d086c13c16bc461b...
but it never got merged to the master or release as far as I see it
Current Master: https://github.com/openzfs/zfs/blob/acb33ee1c169bf1c1f687db1...

When I look up the problem, I could only see the issue being discussed, and probably leading to that commit, and then it was not in my current release (2.1) despite several years later. I’m wondering if ZFS still holds that high standard for reliability.
> That is, businesses can’t find the needed local workers to expand, and workers lack access to good paying jobs.

Those are compatible problems. You need more workers to expand? Pay them. You'll get them. The jobs that can't (or won't) pay workers more will be the jobs that don't get filled. Those are the jobs that don't produce enough value to be worth paying decent money, and they are exactly the jobs we want to go unfilled.
This appeal process was handled by the employee themselves. so they probably had an idea of how effective appeals were.

> And look, I'm not going to say you're going to ever find this somewhere, locked down in words. But the idea is, if you're putting somebody in Pivot, you make that so damn hard that they don't get out.
Is there any reason to believe he knows more about AGI than actual experts in the field?
You Don't Want 2020 Prices Back
Agree on the last point, it boggles the mind that someone thinks they're contributing something of value by mindlessly pasting in ChatGPT content.

That said, sharing the output with others is not necessary to get value out of it.

For example: "Help me work through an [idea/plan/problem] by asking the next Socratic-method-style question."
Not sure if there is any policy prohibiting it, but you could try Upwork or fiverr. After they join you could hire them as a contractor.
This article seems to be conflating a lot of things. Saying that they avoided naming it like it was the given choice is quite the flawed assumption.

The ChatGPT app itself was a very thin veneer over an online service. It utilizes almost no facilities of the smartphone client, has no local AI or unique intelligence of the device. Indeed, OpenAI left the field open and before they came out with their own there were a myriad of competing facades that were effectively interchangeable.

I don't see why that would earn app of the year. I wouldn't even put it in the general conversation.
The credibility of everyone who was involved in this imbroglio is shot for me until I get some receipts for this. I personally doubt RLHF can scale anyway.

Altman recently gave an interview at Oxford (right before all of this drama) of all places where, while answering an unrelated question about compute costs, he mentioned that he “seriously thinks” we’ll achieve fusion in the next few years. The recklessness and silliness of that comment really struck me. It made me wonder how much he’s applying this kind of lazy, undisciplined cognition to his own work.

I haven’t seen hype, drama, and speculation like this since crypto. Someone, please, bring this back down to earth. Lately I’m beginning to feel like we’ve crossed over into some weird Twilight Zone where HBO’s Silicon Valley has moved from entertaining parody to cutting social commentary.
Artists who make a lot of money commonly voluntarily license samples they use which are not used in a highly transformative way. Artists who were sampled by artists who did not license the sample may get some lawyers and threaten to sue. The threatened artist may settle.

For any cases that do make it to court, copyright generally only covers works in their entirety and quoting is explicitly allowed under fair use. The four tests used to determine fair use are length of the quote; whether the allegedly infringing use is for commercial or nonprofit uses; whether the allegedly infringing use interferes with the sales of the original work; and the nature of the quoted work (for example, facts are not copyrightable).

(This commentary is us-centric; other countries have different rules)
Come to Colorado! Not the most fiscally conservative but we have the TABOR law which greatly limits the government's power to tax. Reason magazine said our governor, a Democrat, "might be the most libertarian governor in America".
When I worked at a public university, that's exactly how that stuff worked.

For any job on the portal, had 1 of 3 possibilities.

1. The team actually needed a person. Job is legit.

2. The team knew who they wanted, and opening the job was a formality that was legally required. Anybody other than chosen one is a no-hire. This can be spotted with very narrow skills and specific years of XP.

3. This job is a general description, but with no intent to hire anyone. The purpose here is to earmark funds so the department doesn't lose them. And since interviews are so subjective, departments can fail everyone with no effective oversight this is what's happening. Doesn't matter how good you are - nobody is hired.
> no profit work

this is not a very interesting use case to consider because the AI outfits making the current news are definitely for-profit.
I like the idea of OS here. But this feels like something that's important enough to get right, and not just technically right, but UX right so i don't screw up, that I am team paid.

1Password technical blog has just impressed me so much that I have a hard time thinking of something else.
In my opinion a title should properly reflect the compressed contents of the article accurately and in full. If the title is just a setup for answering a question we all already probably knew anyway then it is simply click bait.
Patrick Boyle on the this topic

https://www.youtube.com/watch?v=V36kSqwjaaw
Stability AI Seeks Sale as Investors Lose Confidence in CEO
> At the median, OpenAI pays such engineers $300,000 base salary and $625,000 in a form of stock-based compensation, according to Levels.fyi.

And what would you value the $625k at?

$0 or $100k or $500k or something more?
The key here is 3x more vCPU. I wasn't even aware ARM had SMT design, so it is highly likely to be the first dual socket / CPU design for ARM.

That is 192 CPU per instances. I assume AWS will continue to work with AMD and provide 256 vCPU. Would love to see them being compared. ( ARM with Physical CPU core and AMD are SMT thread. )
The problem with people in HR is that they are highly disconnected from the people who actually build stuff, and are also highly arrogant.
> You ride the public transport to work and your counterpart drives his luxury SUV.

Oh, it's way worse. Within 10 minutes' walking distance from my home, I have a professional theatre, a concert hall, a cinema, a library, multiple very good schools, museums, several shopping centers, hundreds of bars and restaurants, a farmers market, and a ton of other places. I'm naughty and barely consume anything to visit those places, not even a drop of petrol. I'm so deprived of luxury that I walk to work like a Depression-era pauper.
Show HN: Typeframes – Website to Video in seconds
Instant video creation from YOUR website, forget complex video editing tools, and WOW your audience with high-quality product promos - with ease.
I fail to see how this would harm developers. If Adobe enshittifies it, use something else. Or don't use it; we were fine before Figma existed.
One underlying problem with these PIP type programs at FAANG seems to be that they have very high barriers to entry in the interview process, and then act like 30% of the company is underperforming and subject to an annual 6% cull.

There are industries & companies that have grown fat & lazy and could use a few annual 6% culls, but you eventually run out of fat. If you have a very competitive interview process and high compensation to attract the best talent, it is unlikely you have so many underperformers lying about to cull annually.

So really it's overhiring BS that is then getting taken out on employees. Given that, I think as has been pointed out by another commenter - the old Wall St model of doing one cut in one afternoon, calling people into an office and giving a severance is far more humane. Everyone understood it was about the numbers not about your performance, generally. Seems better than year round psychological torture of being at risk of a PIP, and then if being put on one knowing the most likely outcome is being fired. So you feel dragged through the mud and then having doubly failed (put on PIP & failed the PIP).

I knew a guy who moved from Wall St to Amazon and described the performance management / compensation system to be pretty rough and had explicitly described the compensation cliff and how a lot of people in the good years were proactively leaving, cooling off, and then coming back to reset the compensation instead of going over the cliff.
Besides the tools mentioned, what are some other AI tools that can be used to accelerate coding for established codebases? I have some money to try out new tools, but am wondering if there are that are less "black boxy" and would work with a company's private instance of Azure ChatGPT?
I honestly never thought of using ChatGPT for recipes. I just asked it for "a simple pizza dough recipe for a medium thick pizza you can cook in an oven" and it returned the exact recipe I have memorized which I think came from a "AirBake" pizza pan I bought 20+ years ago. Thanks for the tip!
While your opinion that US tech workers might be overpaid may be true, it bears questioning why this is happening in the Tech sector, one where even before COVID it was far easier to hire remote and offshore workers than say serving burgers.

The gap between Tech worker salaries in the US and abroad dwarfs the gap in any other industry by a lot, and in many cases may also be reverse (where the US employees are paid less).
My best guess is your grep search was saturating I/O bandwidth, which slowed everything else to a crawl.

Another possibility is that your grep search was hogging up your system's memory. That might make it swap. On my systems which do not have swap enabled but do have overcommit enabled, I experience out-of-memory conditions as my system essentially freezing for some period of time until Linux's OOM-killer kicks in and kills the offending process.

I would say the first is more likely than the second. In order for grep to hog up memory, you need to be searching some pretty specific kinds of files. A simple log file probably won't do it. But... a big binary file? Sure:

grep -a burntsushi /proc/self/pagemap

Don't try that one at home kids. You've been warned. (ripgrep should suffer the same fate.)

(There are other reasons for a system to lock up, but the above two are the ones that are pretty common for me. Well, in the past anyway. Now my machines have oodles of RAM and lots of I/O bandwidth.)
1 or 2k seems fishy.
How to Strengthen Your Mind's Immunity to Bad Ideas
I probably need to look at their methodology, but my Model 3 hit 1017mi/hr at a 250kW station this month. With Tesla, on a long trip, the battery will pre-condition itself (heating I believe) to allow for faster charging rates. To be fair the number I quoted above, was with a single-digital SOC and a pre-conditioned system. Nevertheless, my real world experience is nearly 2x what Edmunds is reporting.
Any sufficiently large library has a lot of specialty books in it.
I more-or-less know what I expect it to give me, so I can just go somewhere else then. I tend to ask it three broad sets of queries, since it's what it does best at. tl;dr: it can transform text very well, even with lots of ambiguity. also it knows technical vocab

- if I'm working in a field that's new to me or that I don't understand, I ask for help understanding the basics and vocabulary of the field. it does very well at this.

- if I have a well defined problem, but am simply not familiar with the libraries for a given situation, it tends to do a good job translating my english queries into the right code. I do examine and test the code afterwards to make sure it's correct. You can really see this in action when you ask it to do data analysis; and the REPL loop in that mode is also great at catching bugs.

- if I have like a copy-paste from a documentation site, I can ask it to transform that into code or into a better-formatted version. this saves a lot of time, and I don't have to remember regexes or vim keybinds
I enjoyed reading https://www.newyorker.com/magazine/2020/05/18/the-myth-of-he...

I really like these new yorker articles that compare 2, or in this case 3 biographies with different perspectives. Feels like I get a much more balanced perspective really quickly.
At least with Activiaion Blizzard under new management, there's a hope of reviving the Starcraft franchise?

But otherwise yes, Okats & Auth0, Figma + Adobe 100% travesty. As would have been nvdia + arm.
> GPT4 summarizes this in a haiku:

This has never added any value to a comment. Stop doing it.
This comment got me to get out my French press and manually grind some beans. It wasn't a meditative and calming as I remember, and the coffee tastes a little...dusty. I guess it's time for me to update my vimrc.
It essentially is. The right to privacy is part of the Charter of Fundamental Rights of the European Union, which is enshrined into law as part of the Treaty of Lisbon.
Show HN: Multiplayer Data Modeling
Hi HN, after seeing a lot of data engineering discussion here I thought it would be interesting to share a new feature I've been working on at Count (https://count.co).

We've made possible to import and execute dbt models, compiling them on the fly with a custom compiler, and view results alongside other collaborators in real time.

We built this because we heard feedback from our customers that debugging and iterating models with colleagues was painful and slow, and we thought that Count could be a great place to improve that workflow.

The link above goes to a blog post I wrote on this feature with some technical background, and you can read more generally about Count here:

https://count.co/product/data-modeling/
Given they backfill the first two years with grant value bonuses, this is irrelevant: the first two years just pay straight cash to make up those % to 100. First year is an up front payment, second is monthly payments. If anything that vest schedule retains people for those two years rather than being a way to pay less.
It's been demonstrated that the server can tell if the client is piping or not

https://www.idontplaydarts.com/2016/04/detecting-curl-pipe-b...

I'm on mobile and this refuses to load due to SSL/HSTS problems. It's an interesting approach if you can get it to load.

Point being... someone clever could make a bad day for the minority of users who do check first (but don't save/run what they explicitly checked)

Running curl, saying "yup that looks good", then adding a pipe achieves little with actual malice. The payload can be completely hidden until it's too late

The phrasing you use is important for any hope at safety - review/run the same downloaded thing.
More than that, AI-generated work is clearly derivative for the simple obvious reason that none of it would exist without the original sources.
Sorry, I misread your answer. You're right. I automatically assumed setting some background color for which `color: light-dark(white, black);` would be right.
I love the effort Ford is putting into their EV offerings, and Farley seems to get it better than the other legacy auto CEOs. Ford leveraged their two most powerful brands (F-150 / Mustang) to enter the EV market. I contrast this to GM's resurgence to the space with hummer... A brand they discontinued after a tumultuous 2008.

That said, Ford aligning on 150kW chargers across their EV portfolio is a miss. I really hope 250kW is road mapped for next gen Ford EVs when they adopt NACS.
Hi, I am the package maintainer for https://github.com/metis-os/hysp-pkgs (The default source that's shipped with hysp)

To address your concerns:
1. Hysp is not a developer tool and isn't meant to be used as such.

2. Nix, Conda etc. all can & do work without requiring elevated privileges or root. However, what differentiates hysp, is that it is simply a downloader for a binary hosted somewhere else (defined in config file), that it fetches, verifies sha256sum/blake3 sum & puts in the directory (also defined in config file) which can be then directly called & used.

3. Hysp, doesn't care about dependencies, and neither does it attempt to install anything that's not specifically defined in the config.

4. As installing random binaries from random sources is not advisable due to security concerns, the pkg-source can be self-hosted by anyone and hysp can be configured to use that instead of the default source.
What do you trust? I don't trust search or other humans to be 100% accurate about anything so I find it really strange that people presume I take whatever ChatGPT outputs at face value. I parse it just as I parse any other information.
Is it .NET Core or just .NET? I think .NET Core was renamed to just .NET a while back but it's impossible to keep track of what's what after the many naming convention changes the team regularly makes.
This isn't helpful if you're already in that situation, but I would never be a cofounder in a venture where all the cofounders didn't have the same stake.
Ender's Game was the first twist that really "got" me as a kid. Ignited my love of scifi for sure.

I went to Amazon to read the description just now, and it doesn't really give anything away that isn't in the opening chapters, which hopefully means they changed the cover from what you saw.
Apple is a fine long-term choice (speaking as a recent linux advocate actually, lol). But that computer is 12 years old
Psst, don't tell him about emacs and vi(m)...

There are feuds about open source tools all the time. Text editors, Linux distros, shells, programming languages, desktop environments, etc... And ugrep vs ripgrep may be a poster child for C++ vs Rust.

It is not all bad, it drives progress, and it usually stays at a technical level, I've yet to see people killing each others for their choice of command line search tool.
Man does this resonate. More people should endure kids not just for this but for the joyful moments as well.
LLM could even be seen as a form of lossy compression after all
My understanding is that the law ultimately cares about the market impact on the copyright holder, and balancing that with the interests of the public. I don't think the courts will be swayed by arguments based on technicalities like this.
I love how its vague enough that it could be less than expected. Sheister sense is tingling.
Plus, I'm pretty sure localStorage is limited to 5 MB of data.
I think a strong argument can be made in the other way. I went running the other day and had a long conversation with ChatGPT. That sort of experience is absolutely pushing boundaries...but I can see that they aren't the boundaries that Apple wants to celebrate at this moment. Apple has set a pattern of rewarding beautiful, self-contained, cohesive, through-designed, snackable experiences. A technology that challenges the notion of a smartphone itself is basically out-of-bounds.
The point I'm supporting is that users will not realise that the documentation that is linked to is from a different project than the one being used.

Hopefully, by focusing on an example of how a support interaction could go (clueless user, lots of back and forth before the key issue is identified), it shows how this practice is good for neither users nor for the curl team who will end up dealing with the fallout.

I also address the MDN example by stating that I suspect the audience and reach of xCurl will create a larger support burden for curl than Mozilla would see in similar situations (aside: even though it wouldn't be reasonable in that case either!)

Unless it's done very carefully, pointing users to the parent project's documentation will cause a support burden on that project, and that's just not reasonable for Microsoft to do in this situation.
I was reluctant to offer a subscription because of how much I personally didn’t want to use one. However, it’s proved useful for many reasons: 1) seasonal use e.g. agriculture, 2) flies under radar of some approval and expense report requirements, 3) longer term trial, i.e. many subs cancel and convert to one-time, 4) lowers friction for users that might otherwise pirate.
He probably wants you to extract exactly that. Which means you can’t really deduce anything useful from it.
Model Merging Examples
> As a senior developer it's a productivity gold mine if you learn how to use it correctly.

Sounds like what a junior developer would say, given they tend to depend on it even when it hallucinates the wrong answers badly.

Also explains the rampant title inflation that is going around in the tech industry these days.
Behind China's Plans to Build AI for the World
I'm uneasy about reducing sightlines. There are drivers that will turn blindly into a corner at excessive speed because they feel lucky or invulnerable except they are not, nor the people on the other side of the turn. Small radii reduces speed no matter what, but keep the line of sight. At least one of the two parties have a chance to prevent a collision.