skysight-inc/HackerNews huggingface dataset:
>relational no-sql

Do you mean something like edgeDB?[0]

Or do you mean some non-declarative language completely? I don't see the latter making much sense. The issue with SQL for me is the "natural language" which quickly loses all intended readabilty when you have SELECT col1, col2 FROM (SELECT * FROM ... WHERE 1=0 AND ... which is what edgeDB is trying to solve.

[0]https://edgedb.com/
It's weird that there's no way to export to markdown, and sync internal docs with Github in an automated fashion. At any rate, glad the code samples and templates will remain.
The Work of the Audiobook
source for the curious: https://azure.microsoft.com/en-us/products/cognitive-service...
Ah, it's awesome you worked there. Thank you for context.

My "bad timing" comment was in reference to Sun getting sold in 2010. As an IT focused college kid, I realized there wasn't much value in learning Solaris system administration. That doesn't mean it didn't have amazing things as an operating system!
2 things to say:

1) At my work, we hired a guy from out of state and he came and got an apartment out here. He moved his family and everything. Then a week into onboarding the government says he can't work on our project with us (we do gov work). So he was basically told he has to find another program that wants to take him, or he will be let go soon! Really sucked.

2) I am relocating for a new jobs soon, and I am getting a 40% pay increase. Really beats the 3% a year I've been getting!!!
What feature was removed? I'm pretty fine with a project deciding to remove a feature with known footguns, but curious what it was.
So, somebody imagined/wished that all distros will switch to /usr/* and them will ship / part ? :> I don't think so. Totally wrong direction.

And init binary in /usr is complete braindeadness...

Also MS behind anything means they are trying to get rid of your options, eg by complicating things into "enterprise level" and keep pushing windows as userware.

But there is other possibility: minimal root that is easy to manage, switch, etc. etc. and rest of the system :)
Greg "Joz" Joswiak
You could announce it when it's available to at least one user. "In the coming months" kills the excitement.
Nice effort. Would love to see more open source work from tech companies in this space. I remember working on a healthcare product (which involved HL7) years ago and it was a pain. The lack of documentation and any supporting tooling was "mind blowing".
Not only that but the article is too speculative. They have no idea if it's sinking or not but according to some model it should be sinking by "this much". Maybe do some calculations and come back? or if you have nothing new to talk about, then do some research and write about it? At this point, it's much better to read the gibberish that GPT is making up. At least, it wouldn't have grammatical mistakes.
> now, I guess I just don't have time to be depressed or something because most of my thoughts of ending life etc have, quite thankfully, gone away

Negative thought loops, aka rumination, are strongly implicated in many kinds of depression. If you no longer have time to indulge in ruminating, that's one way to break such loops.
> log file velocity staying about the same was one of the primary things they alerted on, as a proxy signal for server health

I don't want to bash on PHP like it's 2002, but ... that's probably one of the most PHP things I ever heard.

I worked somewhere where people were against raising error_reporting because someone was in the habit of writing "flase" instead of "false" – which worked because PHP – and it wasn't deemed worth fixing :-/

Old PHP days were wild.
69% of statistics are made up
College towns
Counterpoint: my team at Google did desire to read every single error, but still had SLOs and error budgets. In fact, there was a tool specifically for finding and aggregating unique errors so that they could be made into issues. Granted, in practice, that doesn't mean we fixed every single error, but I think that there's no reason to assume "read every single error" conflicts in any way with the typical SRE practices. I'd argue you actually would be doing yourself a disservice to throw away all of the SRE wisdom over this; measuring things quantitatively is definitely not a waste of time.
So let me get this straight - 1 or 2 mm per year, which is completely measurable.

But, no, they didn't actually go and measure anything, the calculated an estimate?

This isn't real science and should be relegated to the trash until they go out and actually measure something.
Wow, that's a whole little rabbit-hole.

It's got that distinctly rationalist style of writing where they dedicate loads of words to these grand overly-detailed models and then skim over the places in their argument where they actually need to be rigorous. The entire argument behind one of the book's most important claims—that it's impossible for meaning to be subjective—seems to be left as implied by an anecdote about gambling at a casino. I haven't even been able to find a definition of "meaning" anywhere, so the implications of that anecdote end up being really difficult to parse.
> billions of years into the future

They didn't seem to account Sun's global warming. In 500 million years it will boil out all the Earth oceans, and in 1 billion years it will swallow Mercury, Venus, Earth.
For a lot of people bally-hoing about Sam Altman trying to trick Congress into letting him hold the reigns of AI regulation;

Good. What would be even better if AI researchers and engineers applied en-mass to be the in-house technical advisement staff for congressional members and executive/congressional regulatory agencies for AI.
You don't, technically speaking, pay for it, which is why it's making news lately. They give you a free TV crammed with ads and trackers.

(It's a little amusing to me to see this discussed on Ars Technica, a site that is also crammed with ads and trackers. This is really just the physical real-world model of every crummy ad-supported site out there.)
Land registries have geodesic fixtures in many cities, so geodesists could use them as reference points for construction sites. In German cities, those marks are seen on kerb stones everywhere in the old city centers. They look like a big jeans button (3-4 cm/1" in diameter) with a hole in the center (to let geodesists aim at their centers).

Over couple of decades, such marker would have moved by several cm, relative to such markers in other areas. It would probably be impractical to measure several cm shift over 1-2 km across the river, but fixtures would drift relative to each other, and if there's a trend, it's observable -- geodesists routinely measure the drift between big fixtures in the fields over much bigger distances, and publish updates to their reference coordinates.
I used to be awe inspired by the jvm code base and other “major” pieces of software. Then one day I realized that these code bases were the product of literally 10s of thousands of people years.

It’s not something anyone could do, but often it’s the product of what many can do.
Then do the good things and don't do the bad things? Externalities are something you learn in the second day of Econ 101.
To be clear here, we're not talking about the USPS opening sealed envelopes and reading your mail. We're talking solely about what's printed on the envelope, which even the article admits is not traditionally considered private.
A bit of silly analogy but if a megaphone recorded everything about the person speaking into it and forwarded it to a semi-adversarial state, would banning that megaphone be a violation of freespeech?
Multilayered mirrors are another approach.
https://inis.iaea.org/collection/NCLCollectionStore/_Public/...
ELI5 - the big problem for computers working with language is that a computer doesn’t know what words mean or which words are related to each other.

The main useful idea from ML is just that we could learn meaning directly from the data—and we have a lot of data thanks to the internet. So there was a lot of work that went into ways to learn the meaning of every word and the relationships between words directly from text data—with some impressive successes.

But in almost all cases one of the biggest problems was learning how words affect each other when they’re far apart. That was a really hard problem because if you want to know how any two words affect each other then there are a lot of pairs you need to try. If you have 10 words in a sentence then there’s about 100 pairs; and if you have 1000 words then you have about 1 million pairs. For many years it seemed silly to even try that; computers are fast, but not _that_ fast…right?

But eventually hardware got powerful enough that someone decided to throw away all the cleverness and complexity-instead they just did the most obvious thing: try _every_ pair of words. When you get down to it, that’s really all that attention is: just test every pair of inputs to see how similar they are.

The title of the paper “Attention is All You Need” highlights that you can get rid of all the other tricks that people had been inventing to work around this problem of relating words that are far apart and learning the right meaning from the data. You don’t need to remember earlier words, you don’t need a fixed size context window or dynamic context or pre-trained word vectors or many, many other ideas. You _just_ need Attention to learn what words mean and solve the long distance problem.

Now, it didn’t _really_ solve the problem because the original transformer could only handle around 500 tokens. This is what folks mean when they talk about the “context length” or “context window” of a Transformer model. And it’s why everyone has been so surprised and impressed when the context window for GPT jumped to 2,000 (that’s 16x more memory than the original transformer), and now we see models with 30k or 100k context windows.

In any case, at this point we’ve learned that the (relatively) simple idea of Transformers is actually incredibly powerful—and remarkably general-purpose. There are actually only a handful of new ideas in Transformer-based models today than in the original paper.
They measured nothing at all. That's how.

This is simply their calculation.

And it's absolutely possible to measure this, see: https://www.thoughtco.com/measuring-plate-motion-1441107 and https://www.youtube.com/watch?v=S1m1tAGbfL4
You could definitely run a pivot with the SQLite attach! All of the DuckDB syntax works!
It could be your money. Money wasted doing this can't go towards your wage.
It isn’t clear to me that bun is less reliable. A day old bundling tool is not a fair yardstick for what I’m referring to. In general I haven’t heard about any reliability issues and see glowing reviews about its cold start time and thorough-put. If there are any I should be aware of please do share.
My experience in job hunting (my resume is swiss cheese, full of gaps, nothing particularly impressive) matches this. Give a good presentation at a conference, go to a language meetup, chat to some engineers directly and you can often skip technical screening. Most of the times I don't even need a resume, or the resume is a formality after the decision.
> but rather a reasonable reaction to reality

The theory you're describing is "depressive realism". It's hotly contested. In some ways, depressed people can make more accurate assessments, as most people have an optimism bias, but their assessments get unrealistically over-pessimistic as time passes.
pyTermTk: Python Terminal Toolkit
paradoxical way to agree but we do agree
How do you submit responses? It just has a timer that counts down and then I fail.
I suspect they only bother selling large capacity SMR drives to hyperscalers, because at high capacities (eg. 8TB+), the workload for non-hyperscaler customers is usually something like RAID5 or ZFS, which is terrible on SMR drives. Hyperscalers don't have this problem, because they have custom software that can use features like ZNS to make SMR drives bearable, and on the lower end, there are enough "normies" (for lack of a better term) who are just using their drives to copy files back and forth, and probably won't hammer the drives with RAID5 rebuilds or ZFS resilver.
OK, you got a good KV store, and a good indexing library in your favorite language. You now write special-case procedural code for each retrieval and each update. Eventually you get tired of copy-pasting such code with slight modifications; you factor things out. You make them generic. You end up with a poorly specified "language" for making queried, joins, projections. You notice how sometimes performance requires different approaches, and bake the logic tp choose them into your library. Then you realise that there are cases when you need two related updates either succeed or fail together, not halfway. Transactions.

This all has been tried many times in 1990s when RDBMSes were pricey or otherwise unattainable. Paradox engine, various stuff on top of Berkeley DB, etc. MySQL is) or at least was) an SQL engine on top of a KV storage engine.

Now we have Postgres that fills most small- and median-scale needs out of the box.

A modern RDBMS is one of the most powerful and versatile tools in developer's hands, and usually works amazingly well even with stock settings. Usually it by far outperforms makeshift replacements to it. Learn to operate an RDBMS, learn to wield this power. It's very much humanly possible, and is much nicer experience than learning, say, C++. Then maybe you will have less of a desire to replace it with manually written imperative code.
Downtown: A Short History of American Urban Exceptionalism
Great point, I think this is important knowledge to spread. Using latex format is a sweet hack to do math based analysis for papers when using LLM frameworks. As long as you have your work in latex already or even if you can convert it to Latex. It seems to be able to understand Lyapunov stability equations, Kalman filter analysis, or Hamiltonian equations when I paste them in. There is definitely hallucinations here and there but the understanding is amazing. For instance, you can convert a Word document with Mathtype equations that use Latex and then copy it into ChatGPT and it can articulate what every line item equation is doing. With reasonable coherence. Likely its not accurate with cutting edge scientists, but pretty sweet for the engineers.
Complete with a 1-star review that sounds oddly familiar:

"Author managed 60 pages of crap with no understanding of the government's accounting methods, which is under ambitious, I think. If you're just making it up, you should be able to get a solid 200-300 pages."
> It looks to me like you're using ethics as the motte

My goal in talking about ethics isn’t to protect DEI. It’s to have it be subsumed by something which I believe is bigger, broader, more mature and more relevant to engineering work. The study of ethical theory is all of those things.

Concretely, as engineers I think we need to be thinking and talking a lot more about the harm caused to society by security breaches, dark patterns, social media addiction in teens, loneliness and depression amongst the video game community, dystopian pervasive workplace tracking and monitoring, online gambling and I’m sure other problems. This stuff causes real harm.

But what do people campaign for instead? Oh, renaming git’s “master” branch to “main” and changing “blacklist” to “deny list”. And adding trigger warnings all over the place, despite increasing evidence showing it does more harm than good to victims of trauma.

If DEI is important, let’s give people the language and skills to engage in ethical arguments, as people have been doing for thousands of years. An honest, informed debate makes us all smarter. The modern finger wagging moralising that happens with DEI stuff is an embarrassment.

Someone who really understands a topic should be able to argue convincingly for or against their own position. The whole point of the academy is to teach these skills.
I never referred them in the sense where I made a recommendation for them or mentioned that I had asked them to apply. I just pointed them to the job. The statement that they have a connection at the workplace would still be true in the cases where they were hired.

Also, just in case it’s helpful, the zero weight statement was related to the folks I connected with. Not referrals in general.

Basically, as your comment reveals to me, there’s a lot of nuance here and the article generalizes it away into a statement that doesn’t feel accurate.
Minor annoyance:

Yesterday I was reading the docs and one of the first things I tried is the following, copy and pasted, which didn't work, using version 0.71:

COPY (SELECT 42 AS a, 'hello' AS b) TO 'query.json' (FORMAT JSON, ARRAY TRUE);

>>> Error: Binder Error: Unrecognized option CSV writer "array"

Just tried the above again with this release and it's fixed now.

Ideally, all commands listed in the documentation should be tested or verified to work.

Aside from that, nice work on the release! And I'm learning more and find it pretty cool, especially WASM support.
I'm curious if this chart accounts for inflation
Broadly speaking, engaging in a task activates the task-positive network, which actively suppresses the default mode network [1][2][3]. This likely happens during meditation [4], as during properly done meditation, one is supposed to be focused on the task of breathing. But this can be interrupted, particularly by stray thoughts/salience/attention shifts [5].

[1] "The human brain is intrinsically organized into dynamic, anticorrelated functional networks", https://www.pnas.org/doi/abs/10.1073/pnas.0504136102

[2] "The Brain's Default Mode Network", https://www.annualreviews.org/doi/10.1146/annurev-neuro-0710... {search for 'task-positive'}

[3] "Neural antagonistic mechanism between default-mode and task-positive networks", https://www.sciencedirect.com/science/article/pii/S092523122...

[4] "Mantra Meditation Suppression of Default Mode Beyond an Active Task: a Pilot Study", https://link.springer.com/article/10.1007/s41465-017-0028-1

[5] "Modulatory interactions between the default mode network and task positive networks in resting-state", https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017816/
This sounds good, but I don’t understand how it meshes with building reliable systems on top of fallible components. I recently deployed a new service that has three clusters inside it; customer queries hit a proxy layer that queries all three and returns the first non-error reply to the customer. In a typical day, I will have tens of thousands of errors but customers see none. My first deployed code logged the internal errors as errors, but then the SRE started in on a high number of failures, so I switched to counting the internal errors but not reporting as errors, saving that for customer errors.
Funnily, "TSP" is also an acronym for the Traveling Salesman Problem.
> people who make amazing things. They're not that different to the rest of us.

Clearly that can’t be true. “Amazing” by definition cannot be done by the average person.
Howdy! The docs reflect the latest dev branch. For a specific release, you can pick it from the version dropdown in the top right!
I'm not sure how any of your video app doing some light sound processing is relevant to the performance required for a DAW at first place either.
Nothing said about the water table of substance. I find that irritating because alongside weight/mass of buildings, excavation and pilings, is the load bearing capacity of the ground as water tables shift.

Jakarta is (as I understand it) both geotechnical at scale the way london is: the land is sinking because thats what land does sometimes, england in that area tilts, and is continuing to tilt into the north sea and because water table dynamics are involved: if you suck water out, something has to give.

What about NY? How much of this is hydrostatics?
I assume that most of them are as foolishly uninformed as Musk or Trump’s audience.
Haven't read the bill, but I'll go on a limb and say it's not written to apply to all apps owned by semi-adversarial states.
Zimmerman chased down Martin and threatened him. He put himself in danger for the sole purpose of being able to use his weapon.
Show HN: Migrate VPS Instances Between Cloud Providers
Well that is just amazingly interesting. The documentation is failing to do this feature justice! Definitely going to be on my todo list to explore this bridge in the near future.
Or switch to gRPC :) if it is internal to the data center traffic.
Sorry! Just realized that when I checked the docs again. My bad.
If there was nothing wrong and nothing that could be done how come they switched to a different, more rigid cup that was less likely to spill in the same way after they lost the lawsuit?
In a more reasonable timeline, there wouldn't be such a heavy reliance on relying upon human relationships just to survive. Familiarity biases shouldn't be used as justification for hiring someone.
That's a non working app. Any working suggestions? Cheers.
Did you read the article? Your comment almost made me dismiss this altogether, but imagine my surprise when I started reading the article:

> However, it’s detectable in many foods, in up to one-third of U.S. drinking water, and in breast milk, blood, and urine.

Yikes.

> Alarmingly, TCE vapor intrusion is widespread today and ranges from an elementary school situated on top of a former chemical facility in Shanghai, China, to multimillion-dollar homes built on a previous aerospace plant in Newport Beach, California,” the authors of an accompanying editorial in JAMA Neurology write.

Yikes.

Your comment was very misleading.
Looks doable. I've added it to my list. Thanks!

(Manually removed in the meantime)
ACM Sigplan ICFP will be in Seattle, WA, USA on 4–9 September 2023
No worries! Thanks for reading the docs!
Yes, “slit” instead of “silt”.
Brian O'Nolan was a gift to the world. I periodically re-read Miles, for the sheer joy of the (mostly) english of the catechism of cliché. Guidance to the proust-hater to collect snow in winter in a jar, so when a Proust fanatic comes to the door declaiming "ou sant les neiges d'hier" you can fling the jar at him saying "here" and slam the door shut..

Book mangling services to the discerning non-book reader, to prove your literary chops with pencil notes inside.. then competitive book mangling, cheaper jobs done by running the lawnmower over the books..

He wrote some very odd stuff outside of the odd stuff we all know. I found a book in UQ library on the "not being borrowed, pulp" list and borrowed it: it included a story by O'Nolan about using Sago to end the worlds hunger, and a heroin addict joiner who seals himself up in a room behind the panelling he is installing.

His parody of Joyce caused some offence. I think he found that a good indication he was on-target.

Writing about De Selby and dark sucker theory, totally in the footnotes, which at times become larger than the page of main text..

If you enjoy the third policeman, then "The man who was Thursday" by GK Chesterton might also amuse, although its not as good in my view. Or, "the exploits of Englebrecht the surrealist boxer" by Maurice Richardson, or perhaps "Fuzz against Junk" and "The Hero Maker" by Akbar Del Piombo.
There are all kinds of operational constraints out there. Many corporate/government environments lock-down the computers and prohibit unauthorized installations. Cloud IDE has a nice ring to it when the only other option is Notepad.
"are causing the city to descending"

Is this ChatGPT generated, or are the authors really this bad?
ssh into your home computer through your phone or use Termux if you're on android
The website shows it with a battery being held on with a rubber band. If you're buying this you should know what you're getting from just a quick look.
It is the copy editors one ought to excoriate. If they still have any.
ChatGPT would almost certainly do a better job than that
Seems like a great idea, cloud costs can be brutal and it gets so complex it’s hard to know what’s really needed.