skysight-inc/HackerNews huggingface dataset:
You lied about something which isn't happening, the person who replied to you pointed out that you lied, and then you called that "a straw man argument" and quickly diverted to paragraphs of unrelated handwaving and character attacks.

I don't think you're a serious person who should be taken seriously on this topic.
The choice is clearly not between no alcohol-no exercise and alcohol-exercise. Alcohol is one of the worst things you can do to your health.
Hah no, but maybe I should. The reason I haven't is that most of my work is just glue code. I use yt-dlp to do Youtube downloads, make use of the Discord, Slack and Telegram APIs to access those services. I run NNCP and the bots in systemd units, though at this point I should probably bake all of these into a VM and just bring it up on whichever cloud instance I want to act as ingress. Cloud IPs stay static as long as the box itself stays up so you don't need to deal with DNS either. John Goerzen has a bunch of articles about using NNCP [1] that I do recommend interested folks look into but given the popularity of my post maybe I should write an article on my setup.

FWIW I think it's fine that major services do not work under these conditions, though I wish messaging apps did. Both WhatsApp and Telegram IME are well tuned for poor network conditions and do take a lot of these issues into account (a former WA engineer comments in this thread and you can see their attention to detail.) Complaining about these things a lot is sort of like eating out at restaurants and complaining at how much sodium and fat goes into the dishes: restaurants have to turn a profit and catering to niche dietary needs just isn't enough for them to survive. You can always cook at home and get the macros you want. But for you to "cook" your own software you need access to APIs and I'm glad Telegram, Slack, and Discord make this fairly easy. Youtube yt-dlp does the heavy lifting but I wish it were easier, at least for Premium subscribers, to access Youtube via API.

I find Slack to be the absolute worst offender networking-wise. I have no idea how, now that Slack is owned by Salesforce, the app experience can continue to be so crappy on network usage. It's obvious that management there does not prioritize the experience under non-ideal conditions in any way possible. Their app's usage of networks is almost shameful in how bad it is.

[1]: https://www.complete.org/nncp/
Sure they exist, but they aren't nearly as established or high status as a century ago. Technology did replace artists, some still do art but they are very few and mostly just do it on their personal time instead of being professional artists. You can still draw your own art even with image generators, they didn't change that.

Before automatic photos, automatic music playing etc, people who could play music or draw were highly sought after just to draw and play music everywhere, since there were no alternatives. Technology changed that and today those are dying breeds.
OK, change FUSE to SPDK, you get your userspace VFS layer: https://github.com/Saltflow/spdk_blob_top_fs

> Just because you've delegated some small parts into userspace, does not mean that you don't still have a massive monolithic kernel with metric tons of infrastructure and subsystems all running in the same kernel address space, oftentimes not even as dedicated threads.

That's up to you to keep around. No need to compile in subsystems and drivers you don't need. HID is pushed userspace by HID-BPF and it works great. USB, I2C, SPI can all be handled by direct messages to the device.

These objections are pedantry around what exactly is micro about a microkernel. UIO lets you drive any hardware via userspace memory maps, it's just usually easier to slap it into a pre-built kernel subsystem more than any need for code to be in kernel mode.

> A monolithic [sic] kernel is a tiny kernel that does not do much more than message passing. Linux is very far away from that, your "userspace servers" for FUSE and similar things are better called "delegates" for subsystems that still reside in the kernel itself.

Your message passing is my delegation through, say, netlink. Perhaps you are describing an exokernel concept where only the barest minimum is run in kernel mode? Mach runs a lot more in kernel mode than necessary, even L4 isn't a "true" microkernel if you are ultra-pedantic and run on processors with, say, userspace interrupts.
I keep hearing that its mostly the wealthy who evade tax, but I don't understand it. Service workers love being tipped in cash because its easy to not report. OTOH the wealthy have more to lose if they're caught, and can afford to pay their taxes and accountants.
That is a very good point and something I didn't really consider. I've placed top 100 globally in advent of code a couple of times, so I do think my coding speed is relatively quickly, but maybe. Next time I'll focus more on speed, I was under the impression that showing your thinking and walking the interviewer through the thought process was more important.

Thanks for the feedback!
If you go deeply enough into a sport or craft, it will also change your worldview profoundly, you will look at things in different ways, due to both the activity itself, your relationship to the activity in both mind and body, and also the people you meet and places you go due to the activity. Same goes for travel - you can travel far, and never expand your worldview - the average person in my country (UK) frequently holiday in Spain, but stick to British-centred resort packages where they never stray from the hotel complex and eat British food and drink British lager. I wouldn't say that's worldview-expanding travel. But that's like engaging with a craft at a hobby level, you're (probably) not gonna get your mind blown occasionally doodling a stick man with a pencil either.

But ultimately the point I wanted to make is that if you've never done the thing you're making assumptions on, that people who have done the thing say has a certain effect, you denying that effect is exactly what you said: your imagination.
> claiming conservatives didn’t have Fox News, One America, et cetera [1], to say nothing of having their views amplified, even if critically, in all manner of national press prior to Musk is false.

I was describing Big Tech (not legacy media like Fox News). On social media, sharing narratives inconvenient to the leftwing establishment resulted in conservative voices being systematically de-platformed (e.g. anyone that shared the Hunter Biden Laptop story - which, by the way, was later proved to be a genuine story, not a conspiracy theory)

> Musk amplified right-wing populist (not conservative) views while silencing others

Musk is allowed to tweet and retweet whomever he likes, just like anyone else. That's how free speech works.

Can you give any examples of noteworthy accounts that followed the guidelines, and the law, yet got arbitrarily silenced by Musk?

> What are you citing that shows the founders expressing this view?

The British govt was notorious for silencing inconvenient voices. There were strict controls on speech and the press in the colonies e.g. the 1735 trial of John Peter Zenger, the NY printer who was charged for publishing criticism of the colonial governor. Or the Stamp Act, which taxed newspapers to suppress opposition to British govt policy.

You mentioned the Federalist Papers (a series of essays that were pivotal in shaping American political philosophy) but you didn't mention No. 84. In this paper, Hamilton argues against the need for a Bill of Rights, asserting that the Constitution itself is a bill of rights. Hamilton’s argument was that the Constitution’s structure — featuring separated powers and checks and balances — provided sufficient safeguards against government tyranny, which includes protecting freedoms like speech and the press.
Why won’t the young ones adopt my antiquaited email idiotarianism and insist on communicating in texty-formats?
“It's also a company whose future could be dimmed by advances in artificial intelligence, since some of the developer skills it teaches are becoming automated.”

Interesting take.
to be fair it is weird that Castelion is all Starshield guys and Mike Griffin and his SDI deputy Lisa Porter are advisors.
Why shouldn't that work? Dropbox and SMB both just need to read/write/watch files like any normal process. I do the same thing at home with Syncthing/SMB and it works fine.
We're going to see a lot more SEO scams coming from social media platforms now that Google is promoting places like reddit and quora. Even on rSEO you can see moderators there asking themselves questions from alt accounts subtly promoting themselves. It's dog shit scammers all the way down.
Independent AI.

Pure algocratic justice.
It seems strange to see someone set expectations up front with what their site is for, then have someone complain that it's not for something different.
TL;DR: There's a lot of really crappy, rushed, "AI" that accumulated the last 18 months. Yet AI is awesome. It's *really* stunning to live it. I cannot stress this enough. You could probably do an GPT wrapper startup today, and as long as you don't rush, roundly beat every single incumbent within a year.

Context:

I'm a sole developer that quit my job at Google 7 months ago, decided to 18 months ago after getting first-hand look at how search x AI was being built.

I just wrapped up 2 days of final benchmarking for release.

3-search-query RAG scores 97% on the USMLE, 6 points above "SOTA": Gemini 1.5 tuned for med that does 4 rounds of N answers each round, then 3 search queries to resolve differences.

How am I possibly roundly beating that? Rushing. Lack of attention to basic details while just getting to the desired outcome, "we finetuned for med and beat GPT-4". And that's *Google*, infinitely resourced.

And Perplexity? AI startup darling? 76%. That's the $40/month version. The free version is at 66%. I'm absolutely stunned, it didn't seem great, I didn't know it was actively much worse than just using ChatGPT.

If that's how Google and Perplexity are going, I can't even imagine the shenanigans that are going down at companies like these. They don't have infinite resources, expertise, or have it as a core competency. There's probably more effort put into who gets to work on the AI thing than working on the AI thing.

(I did legal & med benchmarking, for legal to compare TFA, perplexity free 58%, perplexity pro 67%, llama 8B w/no internet 65%, gpt4o x internet 90%)
I would give the example of the 2001 Bush tax cuts.

Since the Republicans lacked 60 votes in the Senate and zero Democrats supported the Bush tax cuts, The law enacting them was passed using budget reconciliation rules.

> Budget reconciliation is a special parliamentary procedure of the United States Congress set up to expedite the passage of certain federal budget legislation in the Senate. The procedure overrides the Senate's filibuster rules, which may otherwise require a 60-vote supermajority for passage. Bills described as reconciliation bills can pass the Senate by a simple majority of 51 votes or 50 votes plus the vice president's as the tie-breaker

https://www.wikipedia.org/wiki/Reconciliation_(United_States...

Using budget reconciliation rules automatically set a sunset date for the tax cuts, after which they would automatically expire.

When the tax cuts should have automatically expired at the end of 2010, the Democrats controlled the House, Senate and White House. Despite frequent claims over the decade that tax cuts for the rich were morally reprehensible, the Democrats did not allow the tax cuts to automatically expire, extending them for two years in the lame duck session of Congress, and then most were made permanent two years later before they should have expired again.
In some cases I would prefer to have two separate clear yet repetitive use cases, than to have, for example, a single abstract use case, that gets injected with two different factories at configuration time, depending on which sub case you want.

In that case, reading and maintaining two simple use cases might be less work than reading an abstract use case, backtracking to the available factories, and then mentally interpreting the injection and factory behavior.

Unless your abstractions really really make things just way simpler, being explicit could be better.

Another place where this repetition tends to help readability more than it hurts maintainability is in test cases. Often abstracting things out with a little test fixture is helpful. But then being obsessive about this ends up making tests harder to maintain since there's all this long distance coupling that you constantly have to maintain.

It seems that outside of test cases and use cases, we want to be much more diligent about DRY and picking the right abstractions - that makes logic in our use cases much simpler and more coherent. While inside the use case or test case, a little duplication of business logic is not so bad, and can actually improve the narrative of the code.
I work for IPinfo.io (feel free to check your location data with us to see if we are correct as well). It is most likely that your ISP is sharing your zip code via a WHOIS/geofeed record.
Before Goop: the 1970s roots of wellness
You can absolutely automate ornamentation with cnc. Companies choose not to because there are very few kinds of ornamentation that stand the test of time. The ornate things you see on Antiques Roadshow were, in their time, contemporary with tons and tons of crap that didn’t survive. What you’re seeing is that automation is used to produce crap to exacting standards, which frees craftsmen up to produce ornate pieces for very high cost. People also don’t want to pay for ornament on disposable pieces, which most flat pack furniture is disposable. So it’s far more complex than you make it out to be.
It's not about intentional deception. LLMs are very confidently incorrect way more often than humans are.
This is arguably exactly what most people actually need in a vehicle that you are spending thousands of dollars on: accumulated refinements seamlessly incorporated over time.

Year over year this typically results in good outcomes on a purely practical basis. However it just inherently makes for very boring publicity/promotional material.

Edit to add: it can also admittedly result in older solutions getting baked in which prevent larger beneficial changes. (Toyota's North American 4Runner and Tacoma models might be good real world examples of this approach resulting in generally high reliability but also larger, "riskier" changes being seemingly eventually necessary.)
According to a (very) quick google search:

- the drug is for "ALK positive Non–small cell lung cancer (NSCLC)"

- NSCLC is 85% of all lung cancers, of which 3% to 5% are ALK+.

so it would appear to apply to at most 4% of all lung cancers. Are the numbers correct? Even so, huge deal for tens of thousands of people each year.
>We only want to maximize national wealth after we've funded government services fully and redistributed wealth

There's a chicken or the egg issue here. If your country isn't rich enough to fund government services such as education, transport and healthcare you need some economic development first.
It's possible for pressure to exist at a higher level. The editor simply stops asking reviews from people who reject papers above some threshold rate. Or at even a higher level, the journal replaces the editor who maintains a too low an acceptance rate.

These pressures are harder to notice, without population level data.
This is why we hackers need to install Emacs/Vim on an e-reader and use that as our dev environment... outdoors with Bluetooth keyboard every day.
The problem isn't the employee or the hiring process. It's the security infrastructure! One compromised account, supposedly from sales, shouldn't bring down the whole company.
It is still far too unreliable for serious work in which the task requires you to wear adult pants, unless that task is hyper specific and fairly simple, like say, photoshop's spot removal tool. This has been true since gpt2 and is unlikely to ever be resolved using current training methods.. something that has also been known among serious people since gpt2.

What is attempting to drive this adoption is the unending pressure for quarterly returns. The irrational demand for ever increasing profits will last longer than any set of company ethics or oversight.
That's right! It can connect multiple accounts, and sync them all to a single view. You'll then be able to take advantage of whichever account has the better loyalty status/points offering. You can read more about the privacy details here as well: https://www.gogondola.ai/sync
I don't work for Snowflake but I spend a lot of time working with them and their SE organisation.

When working and building demos with clients, SEs create demonstration environments on the same $400 Snowflake demo accounts anyone can. To build demos the client would grant access to that SE. The SE would take some of the data to the demo environment and then work on it. This is further confirmed by the name of the environment Hudson Rock just published.

As far as I can tell, this is a process issue of clients not expiring an ID of someone who they were sharing data with and a threat actor swiping credentials. There is nothing novel about this as there is no exploit.

Also congrats Hudson Rock you just outed a person who was taken due to having malware on their computer. This is no different then if you gave a contractor credentials and they had those swiped. Dicks.
Very possible there were creds etc accessible in Servicenow that could have been used to move laterally from there. Conjecture, obviously.
Without knowing exactly how the compromised account is set up, and what access is granted, it may be difficult to say. At "security focused large telecom" I am aware of, you would be surprised what level of tech has access to what (though of course all access is logged).
Another article with seemingly more details https://finance.yahoo.com/news/vista-backed-tech-firm-moves-...
Cameras replaced only a very specific kind of painting, one that some people still do as a hobby (realism).

To your second edit, the fantasy of automated robots has always been to move us in the direction of a leisure-based society. Even today, Elon musk is promoting robots and AI as the means to get "universal high income".

The fact that this often does not pan out (though arguably laundry machines, factory clothing and vacuum cleaners have done more than almost anything else in that regard) does not mean that the idea is in any way uncommon.
not sure how you keep hearing this, the IRS is very clear that lower income filers commit much more tax fraud which is why they focus audits on filers in this income bracket because it generates the best returns
Thanks so much for checking this out -- we only sync emails from the major flight/hotel travel providers, and we don't store the contents of any emails. You can check out the full breakdown here: https://www.gogondola.ai/sync
I mean, I don't dispute anything that you said, but a baby step is still a step. As they onboard more people onto the platform, they're be able to suss out bugs and fix issues and be able to raise income thresholds and maybe start handling state returns as well.
Related:

Think Python, 3rd Edition - https://news.ycombinator.com/item?id=39392881 - Feb 2024 (125 comments)

Think Python 2e - https://news.ycombinator.com/item?id=35421096 - April 2023 (30 comments)

Intro to programming with Python – How to Think Like a Computer Scientist - https://news.ycombinator.com/item?id=24932497 - Oct 2020 (1 comment)

How to Think Like a Computer Scientist: Interactive Edition - https://news.ycombinator.com/item?id=12639320 - Oct 2016 (17 comments)

How to Think Like a Computer Scientist: Learning with Python 2nd Edition (2012) - https://news.ycombinator.com/item?id=7887541 - June 2014 (16 comments)

How to Think Like a Computer Scientist - Interactive Edition 2.0 - https://news.ycombinator.com/item?id=6175920 - Aug 2013 (1 comment)

How to Think Like a Computer Scientist - https://news.ycombinator.com/item?id=1749646 - Oct 2010 (6 comments)

How To Think Like A Computer Scientist - https://news.ycombinator.com/item?id=1624833 - Aug 2010 (1 comment)

Think Python: How to Think Like a Computer Scientist - https://news.ycombinator.com/item?id=1586000 - Aug 2010 (9 comments)
But how do you do that? The model is a pattern recognition engine and the problem we call "hallucination" is actually that the model is recognizing patterns from data that is similar to, but not an exact match to what we want. In order to eliminate this issue with current architecture it would require a model trained on only the specific data set we want answers to be drawn from. But that isn't a viable solution because just to get responses that aren't total nonsense requires a training set so large as to make this impossible for types of specialized data.
This is only really an issue if AI plateaus right around now.

I think the consensus though is still pretty strongly that these cutting edge models we have now are going to be laughably bad in a few years.
No they don’t. They are a signatory of ECHR convention (which makes is part of national law).
Plague of anomalies in conference proceedings hint at 'systemic issues'
I believe it's got one, yes: https://github.com/lucidrains/denoising-diffusion-pytorch/bl...
Designing the metric of success is the hard part. The magic of LLMs is that they can learn a lot with unlabeled data and a relatively simple cost function. They can be trained the mountains of data we just have lying around without a ton of additional labeling or making clever domain-specific metrics.

If this approach doesn't really generalize well, it negates a lot of the usefulness of these methods and suggests we are further away than we might think.
> Im genuinely curuous, how does this work in regular law? Does anyone ever check all the citations, etc?

Yes. At higher levels (state supreme courts and above), there are staff checking every single citation. It's often checked in a paper copy of the original source, which in rare cases could be a book from e.g. the 1700s.
> Just checked are non-Android Linux OSes targeted by this spyware

It's safe to assume that any mobile phone OS will inevitably be targeted. There are always going to be unpatched and uncaught vulnerabilities, and the market for finding these vulns are very hot.

The bigger question is why do you think you'd be vulnerable to attack by a nation-state? If you are that prominent, you are screwed anyhow.

This article by Mickens is fairly accurate [0]

[0] - https://scholar.harvard.edu/files/mickens/files/thisworldofo...
Uuuugh that reminds me that one of these days I’m gonna have to set aside the four or so hours it’ll take to get most of my important things pointing at my owned-domain email address, so I don’t lose everything if Google’s ban hammer automatically decides the almost-nothing I do on any Google site violates policy and I lose it.

We need a moved-permanently redirect for emails :-/
Care to explain what happened during the Trump Administration then?

It's so easy for people to hyper-focus on "my side good" that they lose sight of the overall picture. Resisting an administration's agenda is pretty normal and expected... the people who voted for Mitch simply do not agree with the Biden agenda. Mitch (and other R's) are there to enact the agenda their constituents want. What a shocker...

Why is this surprising to you? Have you pondered, even for a few moments, what Democrats do when there's a Republican administration in office?
I see a ton of ornamentation in poor old villages and tribes, craftsmen making ornamental pieces has always been a standard part of human culture. Today that part of human culture is mostly lost and only a few hobbyist engage with it or buy it, most are happy with robot made ornaments.