skysight-inc/HackerNews huggingface dataset:
No of course not. But keep in mind it's a relatively new phenomenon for most people to rely on stocks/401k/IRA for their retirement.

Prior to that retirement funds were primarily handled by pensions where the company or organisation you worked for put away money for you in a fund and for the employee there was little to no risk that this money would disappear or diminish in value. Behind the scenes the company may invest it in various ways but it was generally a "low risk" retirement fund.

The reason why every company and organisation (other than a handful of government orgs) got rid of pensions and switched to investment based retirement funds was because the risk got moved away from the company to the employee and as a result it was cheaper to operate.

And as an added bonus, now any time we want to consider raising wages or improving things for workers at the cost of shareholders profits, companies can turn around and argue "this is hurting retired people".

So no of course not I don't think retired people should be getting fucked out of the funds they've been paying into for their entire careers but they shouldn't be paying into those funds in the first place. Unless they explicitly opt into that risk, they should be getting access to a pension with guaranteed payout by default.
that's an interesting point, thanks.

I'm still skeptical of a CLA for such a project since a ton (currently all) of the copyright is held by Hashicorp meaning they would have to consent to the future license change as well, regardless of the CLA or foundation membership. In general I think that makes a point for a CLA, but in this case I don't think it does.
Shotgun sequencing could be better explained than "statistical shenanigans": imagine blasting a huge collection of identical long strings with a shotgun, each breaking into different fragments, and realizing overlaps in the fragments, collectively, can be enough to uniquely restore one copy of the original string.
He answered that in a comment: https://stgraber.org/2023/08/24/stable-linux-mainline-builds...
The open source community has breakthrough after breakthrough lately. its absolutely stunning how fast it's advancing.

I can run art models and llms on cpu/gpu now. I've tested out opensource models with quality better than chatgpt3.5turbo, and I can even fine tune them on my notes and books for better results. It's all so easy with so many one click installers now too!

My husbands D&D group uses some AI for their games now (koboldcpp?).

It's staggering how fast it's moving.
This lawsuit, if successful, would have effectively ended the spam filter. Every spammer would have suddenly had some political connection.
Some thoughts:

- RAG generally gets you to prototype stage with interesting/demo-able results quickly, however, if your users turn out to submit queries that the embedder finds hard to vectorize (meaning you don't retrieve relevant vectorized chunks of source data) then it quickly becomes painful

- It's easy to go overboard with prompt chains that do summarizing/reducing of the fetched results, or pre-processing prompts that help vectorize the query better (see pain point above); always invest in some testing framework & sane test data upfront so you can avoid the classical data science "tweak it until the demo looks good" trap

- Don't ever use langchain, it's a baroque shitshow of a tool with a cluttered, inconsistent API written with a bad, inefficient coding style

- Paying for bespoke vector databases is probably snake oil and besides the weird pricing only causes pain in the long run when you want to store more than just your embeddings (looking at you 70$+ usd/month Pinecone); postgres with pgvector gets you very far until you hit multiple million documents, and you get all the benefits of a mature, scalable rdbms. Keep your embeddings close to the rest of your data.
I love on-demand, but I'll never stop listening to Radio Paradise - at least while Bill is still around. They've got better taste in music than I can ever come up with.
IBM probably disagrees and as much as people expected RH to show IBM how to work, I think history is repeating itself and things are happening as they always did.
RRoO are useful for organizations that are well-functioning, but can be subject to denial-of-service from bad actors.
>>> We're holding AIs to a much higher standard than ourselves. And we move the goal posts all the time as well. / Let's deconstruct that title. "AI isn't good enough". Good enough for what? Great example of moving the goal posts. Because anytime it fails to do whatever, it's not good enough. But what about all the stuff it is good enough for that people are actually using it for already? It's passing tests at a level most humans only manage very briefly after lots of intensive preparation. The knowledge slips away quickly after that. / The way I see it, there's a long, rapidly growing list of stuff that AIs have nailed already and a list of things where it is clearly struggling. That list is shrinking.

>> Humans have repeatedly built things that are beyond their own physical and intellectual capabilities. A calculator can do math problems much more quickly than any human being.

> We've yet to build a single machine that is intellectually capable beyond our own understanding.

Can you unpack this, please? I'll give some examples for you to respond to:

A. Any of our market-making mechanisms (NASDAQ, predictive markets, etc) synthesize information in ways that is faster and broader than any one human could understand. Humans understand the mechanism at work, but cannot really grasp all the information in motion.

B. Weather prediction. While humans understand the mechanics of satellite imagery and simulation, the combined effect of predicting the weather is superhuman.

C. How are large language models (LLMs) as capable as the are? In many cases, we don't seem to know. This isn't really new; last I studied it, the field's conceptual understanding of neural network capacity and architecture has a long way to go. In any case, LLM performance is often superhuman.

Are you saying that enough people, suitably arranged, could do the above tasks? Perhaps they could, but I doubt they could do the tasks reliably and efficiently. We aren't that kind of machine. :)

If you are saying that the fundamentals of intelligence are determined by the structure rather than the substrate, I agree, but I don't think this is salient.

You refer to a machine that is "intellectually capable beyond our own understanding." Above, I've asked you to define what you mean. But perhaps more importantly, why is your threshold important? We already know that machines of many kinds, including sub-human level, are useful. They don't have to exceed our understanding to be useful or dangerous.

My point is this: we've already built machines we can't practically comprehend. We seem to only be able to audit them by brute force. Alignment seems computationally beyond reach.

Your thoughts?
Yeah, but the “seriously prepared” people aren’t hermit preppers, they are the people that have built resilient societies.
More likely, counterculture has decoupled itself from clothing fashion. If your counter-cultural uniform is being sold at walmart, then it's a farce. The real counter-cultures have moved on and no longer care about what kinds of clothing you wear. On the internet nobody cares if you have regular jeans and a tshirt, or an elaborate outfit of leather straps and metal chains, face tattoos and 50 nose piercings; such outward expressions of "counter-culture" have all gone mainstream and become corporate products. The real counter-culture, if in fact any still exists, is expressed through words and deeds, not what clothing or music you buy. People who try to buy their way into a counter-culture at a clothing store are simply mainstream posers, usually aping a style their parents' or grandparents' generation innovated with... and then commercialized.

In 2023, somebody dressing like a punk or a prep means nothing, they both buy their clothes from the same stores and probably have the same mainstream ideas and values. Their preference for clothing style is no more meaningful than somebody's preference for vanilla, chocolate or strawberry icecream. These kind of preferences don't indicate any kind of counter-culture.

Furthermore, niche subcultures aren't counter-cultures. Subcultures exist within some greater cultural context, they don't stand apart from and oppose that greater 'mainstream' culture. To be counter-culture, truly, you need to transgress against the mainstream culture. Simply having unusual niche tastes doesn't cut it. There is no average man, everybody is unusual when you consider enough factors[0]. Consider the intersection of all of your personal attributes you can think of, physical, emotional, historical, intellectual.. how many people exist in that set? Probably just you. It is this way with everybody. Possessing a very unique set of attributes isn't counter-cultural, it's the norm. Everybody exists in subcultures, even the counter-culturals have subcultures. Existing in a subculture is not what it means to be counter-cultural.

[0] In the 1950s, USAF researchers measured the physical attributes of their pilots, found the averages of those measurements, then found that not a single pilot was average across the board. Utterly average individuals don't exist.
I like the idea, but how do you handle hallucinations? E.g. when the user asks about their AWS bill, how can they be sure the numbers they get are accurate?
Neither Python nor Java have REPL, or can have it in principle. The "L" in REPL stands for "loop". I.e. what you print, you should be able to feed back into R (read). This is the whole point of this concept, and that's what this acronym means.

The term you are looking for is "interactive shell". There's no need to modify existing terminology -- you are only confusing yourself and others.
> there's real value to taking notes that for me is most pronounced when I write them with a real pen and paper. I may never actually go back to these, but the act of writing them down solidifies things for me.

Yes, this is me. I've gone through all sorts of ways to "improve" my note-taking, including various note-taking apps. But they all actually reduce the value of note-taking for me, because the valuable part of note-taking is that act of taking notes itself. If I'm not writing them long-form by hand, as opposed to tapping or typing, that value is eliminated.

An exception to all of this is when attending lectures or presentations -- in that setting, taking notes always reduces my comprehension of what it being presented, because I can't take notes and listen at the same time. For me, it's similar to photography -- if I'm taking photographs of a place or event that I'm at, the act of taking the photographs removes me from that place or event and I can no longer fully take it in.
They definitely changed one of the licenses, and in fact in the most brazen way possible -- they relicensed OpenSolaris to proprietary![0][1] Your point stands, though: illumos very much outpaced and outlived it.[2]

[0] https://www.youtube.com/watch?v=-zRN7XLCRhc

[1] https://www.youtube.com/watch?v=Zpnncakrelk

[2] http://dtrace.org/blogs/bmc/2017/09/04/the-sudden-death-and-...
No, you see, they're not "note-taking apps", they're PKMSs - Personal Knowledge Management Systems. (bleh)
Colonialist: To my mind, it was the 's' on the phrase "primitive peoples". In other words, it is implying that people in our "civilized" society suffer from this, but those more primitive peoples outside of our society may be exempt - simply because they do uncivilized things that our civilized ladies wouldn't dream of.

Classist: Because of course, that's bunkum. Because even in 1960's "civilized" american society, maybe the upper class lady would keep herself "in confinement" but that doesn't mean that the majority of women would or could.

So no, I wouldn't say it's anti-classist.

(Note: I had presumed that George Blonsky was a doctor - but no, apparently he was a "mining engineer". I suspect he would have been reasonably well educated, but maybe not if he thought spinning pregnant women around to expel their babies was a good idea. So I don't know - maybe the classism was accidental. But it's definitely there.)
That’s the indie version.

The big corporation version is: “We own the rights to w/e you made, going to make bank with it and perhaps mention your gamertag in some blog post.”
Some of the most impressive stuff the USA ever managed to do was for idealogical reasons. Like most of NASA's prime achievements could be seen as a big dick-waving contest with the USSR. If the USA wants to play similar games with China, some good may come of it that would never come from purely profit motivated agendas. It could just as easily be bad, too, of course.

I usually don't like the USA government's idealogical reasons for doing anything, but I also usually don't like economic reasons either :)
If you intend for your tapes to fit in the library, 20TB for $1000+$200 does not qualify as affordable.

It's reasonably possible to hit a target of 2x hard drive cost with loose tapes but you need a lot of data.

And trying to match the price of hard drives with $10/TB tapes will require piles of data and piles of tapes.
An Example of How Canadian Public Colleges Mislead International Students
I am guessing that your definition of "problem" is a bit too narrow and simplistic.

> Your “craft” is not to write code, it’s to solve problems.

Writing code is part of solving problems.

The quality of code has an impact on the various aspects of how a group of people solve problems.

As a small example - consider onboarding time for a codebase/system. Longer onboarding time means - lower profits end of the day for the organization (I'd also argue that longer onboarding times correlates higher talent attrition). And code quality has a strong influence on onboarding time.

Code quality has an impact on the "debuggability" of your systems. How quickly can you fix stuff when things go wrong?

Code quality has an impact on the "deployability" of your systems. If your code is well-done it is easy to deploy, redeploy, etc.

I can cite maybe 10 more properties crucial to org health, which are influenced at least partly by code quality.

So, "the problem" is not as simple as it may seem at first glance.
Odds are you already have a backup system and so you know from experience with your old system how much compression you really get.
In one swoop, we've gone from 2k to 300. I had a look at a handful of them, and they're ranging from 10-100 downloads a week. Our CI pulls the AWS provider more often than that.

There's probably 20(?) from the 300 list that would actually cause enough outcry to be worth talking about, out of 2000 providers.
> I call that putting your money where your mouth is.

Others would say "A fool and his money are soon parted".
It’s a pretty clear rip of macOS, from the aqua-inspired UI, finder at base, to the layout of the directories.
- Scalr
- Terramate
- Terrateam
Not only that, but the model was trained on 172 training examples - and the conversations aren't remotely like the therapist conversations I've had in terms of nuance or topic.
The Debian wiki explanation[1] is technical, but it's definitely shorter than a book, and if you're running your own kernels it shouldn't be too difficult.

It gives you the "here, run these commands" version if that's what you want.

[1] https://wiki.debian.org/SecureBoot#MOK_-_Machine_Owner_Key
I think the amount of crap and dark patterns that is missing from Windows 10 / 11 for European users compared to US users speaks otherwise.
Who will verify VM, your local CI, and produced binary?
Bill will have a superior AI version.
The question is "Does the United States have a national privacy law that sets common standards for what companies can do with all data their products and services collect?" The key word, but tricky, is the word "all". I think this makes the "no" answer correct but is not a great form of the question. If the answers were "all, some, none, not sure" it would have been more illuminating.
Thanks, that's really appreciated.

One thing that is always unclear with company-owned projects is what is exactly going against their business plans so you don't waste time preparing a PR only to get half-baked excuses about why it can't be accepted.

Point in case, the numerous PR's and issues to disable warning coalescing in Terraform that are always met with a dismissal but nobody understands why.
It's a short blurb, so excerpt below is essentially the entire post, but it's not inaccurate:

>> [...] the U.S.’ ongoing failure to pass even a basic privacy law or meaningfully regulate data brokers. We haven’t done those things for two reasons.

>> One, the dysfunctional status quo (where companies mindlessly over-collect data and fail to secure it, resulting in endless privacy scandals) is hugely profitable to everybody in the chain.

>> Two, the government long ago realized it can abuse the barely regulated info-hoovering user tracking system we’ve built to avoid having to get warrants.

In being most charitable towards the piece, I'd put an emphasis on basic (as in, basic privacy law).

The GDPR largely starts from first principles (these are private things) and then assigns ownership explicitly to the person they stem from, along with personal rights that can be exercised to control those things.

US privacy law, on the other hand, generally carves out a specific piece of data (health and financial information, information about children) and then imposes regulation on that data.

HIPAA is the closest general US approach I'm aware of, in that it assigns rights over that data to individuals, but it's a travesty that a similar approach doesn't extend outside of the healthcare space.

The onus should be on companies to prove their data isn't PII, if they expect to be able to use and sell it freely.
This is in fact not “absurdly dangerous”. It may actually be safer than using a biological intelligence for the same purpose. Given that, and the shortage of biological mental health workers, it seems reasonable that many many more would suffer negative outcomes were they not allowed to use this tech. As such, I’d argue that your comment is absurdly dangerous rhetoric, and your license to post on this web forum should be revoked.
Conservative party under Sunak has turned deep into far-right corner of the politics.

If you studied history, this should ring all possible alarm bells.

Unfortunately as things stand, other than dismissing this government through elections, there is not much anyone can do.

What is more worrying that the opposition party that is poised to win the next elections generally also supports the current government in those matters.
k-Means Clustering mainly. Also tSNE and PCA. I think it is safe to call PCA a kind of a clustering in chosen components space, although it is classified under dimensionality reduction techniques.
To me the biggest problem is the same problem that always crops up: the people who sign the checks (the "business owners") don't fundamentally "get" this stuff, nor do they particularly care. And so there's a perpetual "impedance mismatch" where you may want to do things a certain way because you believe in (devops|agile|CMMI|OOP|function points|whatever) and the business people won't support you because they don't understand or care.

They just want results. They see IT/development as a "black box" where the internals can be ignored. It's usually only when you get companies founded by techies, or a handful of visionary types who really see the fusion of tech & business, that you get away from that.

So my take? Sure, go into DevOps. Read the books, read the blogs, watch the videos, learn the "received wisdom." But try not to be overly disappointed when you're unable to implement things exactly according to that wisdom in practice. Do the best you can and accept that there are some things you can't control. Or, start your own company where you can control them.
Also California Consumer Privacy Act (CCPA).
'Long Covid' likely to cause mass misery without treatment development
That's literally the first thing I noticed in the screenshot on the website. Spacing in the UI is very inconsistent, almost the polar opposite of macOS aesthetic.
Don’t they do that (resist cancer) by having a weird sticky soup for an intercellular matrix?
When I said "deceive" I was thinking more along the lines of currency being counterfeit or product not being up to spec. Anything not directly related to the transaction is the private business of each party. I don't ask the people I buy things from to show me their accounting books to see if the price they ask for is fair, so why should I accept any questions regarding how much I'm able to afford?
Is this at all viable in Southern California? My gut says no, but I would love to be wrong.
Fresh Air has become an audio tranquilizer for old black ladies and their old white “allies”. There is a clumsy attempt to shoehorn race-baiting into nearly every story, followed by a commercial for neuropathy medicine.

I can’t even begin to imagine how one can have a positive reaction to that gruel.
Well, CloudFormation is as proprietary as it comes so I'd say you chose correctly with TF.
There's no new information in the article on the process of storing nuclear fuel. The article is mainly about the feeling of how small m/y/our consciousness is relative to reality of time and the scale of problems facing us.

It's worth exploring the experience, in spelunking or meditation, if it changes your fundamental incentives. Or read Ecclesiastes, et al. empathically.

Finland is at least trying, doing the engineering and engaging the question. Perhaps because it has no fossil fuels?
I agree with you! We must encourage developers and ML engineers to come up with solutions like these.

Medical costs are too expensive nowadays. Even health insurance won't cover all the costs. We need solutions that can help office workers or students to talk to someone about their mental stress without having to go through the hassle of visiting a doctor and pay an exorbitant fee. If suggesstion provided by these models are atleast 70% reliable, still it's better. You can have an AI companion with whom you can chat and discuss about your problems.

AI won't judge you. AI will listen to your problems patiently. And like your friend whose advices are not 100% reliable. Advices from AI assistant who can be your virtual friend won't be 100% reliable. But, still you will have someone talk to.

Think about people who don't have friends or family. Whom they should to connect to? AI can be atleast their virtual friend and advisor, atleast not 100% correct. But, even your friends are not 100% correct too.
Allegedly, one of the Acorn OS developers quit and went to work for NeXT in Silicon Valley... and right afterwards, the test in-development version of NeXTstep suddenly had this Acorn Risc OS-like floating icon bar! NeXT also implemented app directories, where all the contents of an app, its resources and libraries and so on, are in a folder with a special magic name... another idea nicked from Acorn.

(Risc OS apps are called !Name; NeXTstep ones are called Name.app.)

Acorn Risc OS was also the first OS to have integrated, always-on font antialiasing, next seen in NeXTstep, and the first to have full-window drag.

Source: a retrospective meetup of the surviving developers, which I moderated.

https://www.youtube.com/watch?v=P_SDL0IwbCc&t=2s
Rusty's Rules of Order [pdf]
What we expect them to do? How about making better commercial products to start?
I mostly agree, but subtle thing is that GP is "learning" Python. I don't think they know yet if they can handle it
Hello, Sourcegrapher here! We are making some simplifications to eliminate the need for the separate local app install. Should be out in the next month or so. Until then, apologies for the added friction here, we're working hard to smooth it out.
Time to do you part. Substitute Terraform with OpenTF (Terraform successor) everywhere.

Oracle tried to constrain Hudson, but Jenkins won.