skysight-inc/HackerNews huggingface dataset:
Fully understood.. we also have a big team, a too slow CI, and much too many LOCs. The "merge lock" will ensure you catch up, you keep the lock as long as it takes (or until others get too annoyed and urge you to step back) - as long as you have it nothing comes between you and main at the point you claimed it.
I never use less than 3 chars and I try to never use more than ~8 chars.

- currently for the dedicated servers that I rent at "Hetzner.de" I use just "he1", "he2", "he3", etc... . I don't have a high turnaround (e.g. I don't have he1 anymore but he2 runs since many years) and they're all located in Germany (I had one hosted in Helsinki until a few days ago but the connectivity was often really bad whenever Hetzner was doing changes to their network), so after a few hours/days I start remembering instinctively what runs on the latest server that I have set up.

- for the notebooks/servers I have at home I use from time to time a nickname. E.g. my old "Lenovo Carbon" laptop is just "carbon", but a NAS is called "story" (storage server which has only 4 disks -> fantasy-diminutive of "storage" was for me "story"), a server which has a Ryzen 5950x CPU with 3 big fans which used to make a "woooossshh"-sound whenever it spun them up is called "windy" (I then disabled the "boost" feature of the CPU because the noise of the air was annoying and it was anyway getting too warm in the flat, but the name stuck), a big tower-PC is "biggo", etc... .

- for VMs I always use the prefix "vm" followed by some chars which describe what the VM is supposed to host, followed by a number. E.g. I have currently "vmdbcommon6" (to host a general-purpose database, 6th reinstallation), "vmbot4" to run my web-crawler, "vmweb1" to host the website, etc.... I NEVER refer to Linux distributions names nor software names as it happened many times in the past that I wanted/had to switch.

So, nothing too clever in my case... .
If you think professors care much about DEI when it comes to hiring students for their research labs, I have a bridge to sell you. Professors don't seem to have DEI as one of the primary metrics tied to their performance and financial compensation. They might have some, but I've never seen it, though I've definitely seen those metrics being a significant factor in performance review for some org directors in the industry.

My (and that of everyone I know) experience with undergrad research was more like just taking a class with a professor, checking out their research papers, finding their research topics interesting enough, having a chat with the professor after the class or sending an email asking if their lab is looking for research assistants, meeting up with the professor to have an informal conversation to decide whether this is a good fit and whether it is a potential publication opportunity, and that was pretty much it.

Caveat to this: only talking about STEM fields, as I have zero idea how sociology/psychology/etc. labs hire researchers or even operate at all.
Haha, that's right. Google has BERT. Their AI stuff isn't all vaporware. There's always BERT.
Having used schema based sharding in postgres before, I hope citus has a way around connection pooling and pgbouncer, as if you use pgbouncer transaction pooling your search_path could disappear at any time.
The case against AI foundational models
It’s time to reconsider the idea that only a select few private companies will create and control powerful foundational models (FM), and the rest of the companies will simply utilize them for their specific needs.

A quick analogy: imagine if all the companies during the Industrial Revolution simply said, “we will wait till a few elite companies build factories because they are expensive. Then, we will just use their factories when they are not using them” - it’s a not a perfect analogy given the physical and digital nature but remember compute is inhertenly physical (limited by physical GPUs) - but it loosley describes the modern day notion of FM. Regardless, how absurd does that sound?

Firstly, assuming that FM providers will not engage in direct competition is unrealistic. Just look at Amazon’s Amazon Basics, which has dominated every category it entered, leaving third-party sellers in the dust. Direct competition from model providers is inevitable, if they are profit driven companies.

Secondly, why subject yourself to the same vulnerability that Meta (Facebook) faces by not owning the complete stack? Meta relies on device companies like Apple, whose rules and policies can significantly impact Meta’s competitive advantages and business models. To illustrate with an example, consider the implications for companies dealing with taboo or niche markets. If the FM provider decides their niche is no longer acceptable, they risk losing their website’s functionality, customers, and revenue. Surrendering control to someone else is risky. Ultimately, the point here is you’re not the captain of your ship when someone else owns the rudder and you just have your hands on the helm.

Furthermore, the future of competition will likely be different from what we see today. I imagine it won’t be fragmented and industry-specific; instead, it will be fierce and universal. Imagine OpenAI expanding ChatGPT’s capabilities to include many digital services like search and bookings. In such a scenario, most digital service companies will find themselves in direct competition with one another, and the same goes for physical goods companies. Building a competitive advantage and claiming a piece of the market will be extremely challenging, if not impossible.

In conclusion, I am not saying every SME should go out and start training their own FM and that FM would have no use at all. Rather, if you’re an industry leader today and you wish to remain one - then you should build and own the helm as well as the rudder of your ship. Alternatively, I also think FMs could be successful if provided by non-profit organizations that publish their models in an open-source manner, without engaging in direct or indirect competition with users. An approach similar to Apache would be more desirable.

<Edits by ChatGPT>
Not parent poster but I can imagine for one thing that electric cycling is an excellent way for frail people to keep their strenght while still having a practical way to go about their business.

For people who have had accidents it’s proably also a good physical therapy tool.
> In the ever-important self-review you're expected to present proof to your higher-ups that you're not only worthy of keeping the job, but also why you deserve that 4% raise.

While I’m not going to say I’m “quiet quitting” as far as my work, I quiet quit a couple of years ago as far as being concerned about promotions and raises. I do just enough bs to get through the review process knowing that real raises come from job hopping.
One of three core principles: fast

Technology choices: JavaScript and MongoDB

Seems off.
Not nearly enough cycles for that. Nor core memory. Nor even the possibility of colours or font styles. You were lucky if you got a timeslot for your program and didn't get preempted. You were even luckier if you got both uppercase and lowercase letters. (-:

* Nearly all this was before my time.
It only seems inexplicable if you accept as reality the most extreme characterization of DEI programs, which personally I believe should be a tip-off that such a characterization might not be entirely accurate. The more ridiculous programs naturally get the most attention, regardless of how representative they are, and DEI programs as a whole are further strawmanned by politicians and pundits looking to trigger your outrage. The discourse thoroughly ignores all the programs working on DEI as a topic in ways most reasonable people would probably be OK with.

As an example right in this thread, the grandparent comment talks about the Dallas schools looking at the issue of children unevenly taking advantage of advanced courses and coming up with a solution that helped expand access across the board. This absolutely would qualify as a DEI program (they even used the equity trigger word), but did not do anything I would think many people would find objectionable.
It's never too late. As I write this, there are people that can't put their phone down for any significant amount of time and many that are starting to get addicted.

Right now there are companies that are working hard to replace the real world with cyber-fantasies. What an ugly future that will be, if it ever takes off. I equate it to an Opium den of the past.

Whether you are a user or part of the system that creates it, it's always good to remind people that tech can ruin lives and big tech controls too much of our every day experiences.
That's a good point, thanks!

I should have rephrased my question to: "How do the levels of privacy/security/speed differ between Firefox+Betterfox and LibreWolf?"

I'm sure both have their tradeoffs, but I was just curious if anyone has tried and extensively compared both.
The point is that the solvers can deal with larger problems than pulp. gurobi can deal with hundreds of thousands of expressions, but then pulp will just run out of memory at that point.
Read again the comment I'm replaying to mentioning "polished at launched", not polished after 10 years of updated and fixes.
Ultimately, it is your right as a parent to decide what values you want your minor children to be taught.

What is an alternative? Forbidding parents to pull their kids from schools that are ruining their future by following a system with historically worse outcomes?

Most importantly, original articles here provide data that show that teaching math the way CA is trying to do has led to worse outcomes across the ethnic spectrum(unless of course parents had a financial ability to complement with private school/lessons).
The flag is not on my (usually used) account. I can perfectly use that one (though it seems to be the case that old accounts can and sometimes are flagged, not for me though). It is set on new accounts in an otherwise empty browser profile over a clearnet connection in the adress space of a rather large ISP. So there should be no context to work with at all unless creepy things are done. Having some amount of google cookies didnt help either.
The evidence they had was of such low quality that no solid conclusions could be made from it. What they found in the research may not reflect reality. They are explicit about this and stress the need for better research.

> "There is uncertainty about the effects of face masks. The low to moderate certainty of evidence means our confidence in the effect estimate is limited, and that the true effect may be different from the observed estimate of the effect...There is a need for large, well‐designed RCTs addressing the effectiveness of many of these interventions in multiple settings and populations, as well as the impact of adherence on effectiveness, especially in those most at risk of ARIs."

They admit that they were unclear about it and later were even more explicit.

"Given the limitations in the primary evidence, the review is not able to address the question of whether mask-wearing itself reduces people's risk of contracting or spreading respiratory viruses."

The review is not able to "address the question" let alone conclude anything about the impact of mask wearing. The review is inconclusive.
To add to the list:
The Netherlands has "rijksoverheid" (government) in sans and serif.
https://www.rijkshuisstijl.nl/publiek/modules/product/Digita...
Is it really malpractice if there are zero education requirements, going as far as purposely not calling it software engineering since there is zero standards for the 'engineering' being done.
Valtown
American Airlines barred teen for 3 years for "skiplagging" claims his father
WTF is "normcore?"
Many of these were not "polished" at release either.

- The Lisa was so expensive that it failed to find a market regardless of how visionary it was, ultimately making less of an impact than the Apple II.

- The first iPod models were plagued with battery issues and had no meaningful way to replace them once it went bad (this extended into smaller models like the Nano).

- The iPhone was notoriously gimped at launch and only barely delivered on it's promises, with the majority of features people know today being added in updates.

- The first generation Airpods should be classified as instruments of sonic and physical abuse, not headphones.

- The first generation iPad was depreciated almost immediately and got ~2 years total software support.

To say nothing of their success, sure, but Apple clearly has their own honeymoon phases to work through.
I guess the word "monopoly" is not super precise but the gist of the definition seem to imply otherwise. "a single seller or producer that excludes competition from providing the same product". If any competition can provide the same product as soon as they learn about it, it's not a monopoly. Monopoly implies the inability of competitors to enter the market at all.
I'm sure it'll also detect ad blockers.

You know, to ensure the 'integrity' of the 'web environment'.
Plugged in a prompt I've been developing for use in a potential product at work (using chatgpt previously).

Llama2 failed pretty hard. "FTP traffic is not typically used for legitimate purposes."
Not us, we did FW dev. Not every SW engineer is a web dev working in cloud, even on HN. Also in web dev many run and test things locally so working with good machines helps.

Also, the equipment you get shows you how little a company values its engineers and how much it values its management. If they insist on giving you the cheapest bottom of the barrel laptop and monitors they can find, they probably won't pay you competitively as well. A lesson I found the hard way.
Issuing stock still costs existing shareholders money in terms of diluted ownership stake
I think I saw a paper that argued that CMA-ES is making an approximation to the natural gradient, which is not the same gradient you see in typical NN trainings. Or at least so I understood it. (I have no background in data science or ML, I'm just a bored engineer)

I haven't estimated the number of trials you would need for 10M Shakespeare model but I think to get to the same level as gradient descent, it might be around 10M, i.e. same ballpark as the number of parameters. Which makes some intuitive sense because of how little you learn from each black box function evaluation.

There's maybe some hope that there is a hidden structure in the problem that does not actually need anywhere close to 10M parameters so that a black box optimizer might still find it. I don't have my hopes up though but I'm trying to poke at it.

I would think that if it turns out LLMs are not totally impossible with black box optimization, then it would be good to find a reason to use it. E.g. objective functions that don't have a hope of having a good gradient. Some kind of weird architecture that can't be trained conventionally. Maybe fine-tuning gradient descent optimized models with those things. Etc. Feels like a solution looking for a problem.

I'm doing my project for fun and just seeing if it's possible at all.
Mobile chips use a shared memory model and 12+ gigs of ram for mobile hardware isn't exotic at all. Seems reasonable to think that it won't be an issue.
Bolivia Underlined
Give me a list so I can apply.
I'm really excited to have Vox and Verge and New York Magazine and Eater and The Cut and Polygon and and and... on WordPress! Big win for open source.
Out of curiosity, are Fresh or are any of the Deno web frameworks also able to target Service Workers?
"page, which"
The first answer is too vague to have a meaningful answer in case.

Every other treatment in medicine including schizophrenia is tested how it works in practice. It is incurable disease and the treatments have many side-effects. Thus the question becomes not “does this medicine cure schizophrenia” but “does this treatment works better than placebo or another treatment?”. When studies are completed, we gather evidence by monitoring real life experience with this treatment.
Ah, by GUI I assumed you meant something good indeed booted for hunting things like homes. For during the boot process for mounting an encrypted root, a TUI using something like dialog (https://invisible-island.net/dialog/dialog.html#screenshot and commonly available in Linux distributions standard repositories) would probably be more suited. IIRC it is what Debian use for their text installer. It should be pretty light weight, though it is still something you are scripting and adding to initramfs yourself so there may be more pre-made options that require less manual maintenance.
It’s probably one of the reasons the managers want you back in as well - they want/need the theatre
You’re actually motivated by equity in a private company that will statistically not be worth anything?
Additionally, do keep in mind that browser dev's, in addition to their ulterior harvesting agenda, have the burden of universal appeal/usability, which makes niche installs impossible. If this is a NixOS-type of configure-your-own-browser, I'm all for it. This is the reason why Consumer wireless-Router configuration sucks, because manufacturers are trying to appeal to the masses and don't want to generate a call-for-support nightmare. So yeah, if we can *nixify(I'm claiming coinage here) all things produced in bulk and for the masses, by all means!!!
Process vs. Product: Why We Are Not yet on the Cusp of AGI
Do those campaigns increase or decrease engagement? My gut is that LLM use will decrease social media demand.
Apple stock is up a measly 40x since then. Pathetic.
Depending on context, thats probably true? i can't think of the last time we preferred ftp over something like scp or rsync. But I could certainly believe some people are still running ancient systems that use ftp.
That's what I ended up doing just for the pyyaml installation.
>But Bobby Baptist's kids going to Jesus Is Lord Day School is assimilating those kids into their society at large and Jesus Is Lord Day School still needs to meet the curriculum and testing standards that any other school in the state has to. And more often than not those private schools are _exceeding_ the standard of the public education system.

Are they? There are a lot of folks who would disagree (and many of those are graduates of such institutions) with that assessment[0]:

The city has determined that four Orthodox yeshivas are failing to provide
an education “substantially equivalent” to what’s offered in public schools —
and recommends the state reach the same conclusion for another 14 yeshivas
the city says are ultimately under state authority.

The findings are the results of a long-stalled and politically thorny
investigation that has stretched on since 2015.

The city found that just seven schools they investigated met standards.
That’s in addition to two it found were up to standards in 2019.
[...]
The investigation was spurred by a complaint from a group called Young
Advocates for a Fair Education, or YAFFED, headed at the time by a yeshiva
graduate who argued his education left him ill-prepared for the world outside
of religious studies. YAFFED and other critics argue many so-called ultra-
Orthodox yeshivas provide little to no secular instruction, particularly for
boys, and instead focus on religious studies. Representatives of the schools
have pushed back strenuously on those claims.

The schools are private, but do receive some state funding and, like all
private schools in New York, are required to provide children with an
education “substantially equivalent” to what is offered in public schools.
The investigation kicked off a debate of what exactly substantially
equivalent means, prompting the state to develop rules for determining it.

And that's just one city in the US. I am unaware of such reviews in other places (some likely do exist, I just haven't heard about it -- please do jump in if you're aware of similar investigations), but religious schools (of whatever stripe) exist to support their preferred religion above all else.

Public funding (and especially taking funds away from secular public schools) of religious schools is antithetical to the idea of a secular government and society.

[0] https://www.ny1.com/nyc/all-boroughs/news/2023/06/30/new-yor...
Funnily enough, you'd be hard-pressed to read cards much faster than that today. The limit was on the mechanical side, moving the cards fast enough without jamming or tearing them. The processor would have been 99% idle if reading 1200 cards/min was all it was doing. On big systems, since cards were such a bottleneck, they would often be read in with a small computer or dedicated card-to-magnetic-tape machine.

</random Hollerith trivia>
Because it makes a certain group of developers more productive. If you care about that or not is your decision. I'm not saying you should.

I would qualify that further.

It makes a certain group of developers more productive for certain kinds of problems. In particular they are more productive for rapidly creating relatively small prototypes. Particularly if performance is not a significant concern.

By the data that I've encountered (private and proprietary), using the features that make for high level languages, also make development in the large harder. And increase the cost of maintenance. You also get the issue that different parts of the code become likely to follow different styles. And the points where they meet are likely to become problematic.

If you care about that or not is your decision. I'm not saying you should. But these were the issues that the golang designers were attempting to address.
To be fair, though, the "customers" aren't the customers. In modern software companies, you don't sell products to be profitable, you sell them to be plausible. As a software company, your value to a venture investor is much greater than it could possibly be to a potential customer. The objective of the startup is to look plausible until the current round of investors sells their stake to the next round of investors. Part of they way those investors value the company is whether or not they think they can sell the company to a greater set of fools.

In the modern software company there is only one customer, the next early stage investor. I can assure you, your execs know how to pitch to them, otherwise they wouldn't have received their A round.
>Except that you have not done that. Where are your data?

It's your responsibility, not mine, to prove that what was normal before is now "advanced" by the standards of the country, and that slow is now "normal"

> I'm not saying they had to remove advanced algebra in order to introduce advance data science, I'm saying they decided to replace something that they think is not challenging...

this contradicts the assertion that the class was too advanced, now it's not advanced enough? Doubt.
Plus, you yourself are using the word "replace", here meaning removing 1 class and adding another: two acts. There's nothing requiring them to remove the first class, and there doesn't seem to be a convincing case for doing so. If you want to have a new class, go ahead, but don't nuke good, unrelated classes in the process.

>...by something more challenging, more engaging and more useful

is it, though? That's what they say, on 1 side of the issue, but it doesn't seem like that's the case, and again, both are useful, so that's not a valid excuse for nuking 1
Good point with a little nit.

Usually in data science, you "mine" for features or combination of features. That is you collect as much as possible, then actual find the critical features e.g. to construct a random forest/decision tree/ ...

Here they are going as you point out the other way.
And the more I study U.S. history (and politics) the more racist I find it.
Oh great, yet _another_ Python package manager.
The user I was replying to was talking about the now and future.

We also have no indication sparse models outperform dense counterparts so it's scale either way.