skysight-inc/HackerNews huggingface dataset:
I don’t have actual data, but I strongly suspect that emissions from actual well-designed wood stoves are negligible. The problem is wood-burning fireplaces, which are a whole different animal. If you want to heat your house with a high quality wood-fired heater, be my guest.

Nothing good will come of trying to heat your house with a wood-burning fireplace. They’re pretty, they’re fun, they crackle nicely, they combust wood very poorly, and they send almost all the heat right out the chimney. And, if they work correctly, lots of air comes out the chimney for the ride (keeping the combustion products out of the house), so a lot of makeup air comes in from outside, cooling your house.

If you want to heat your house by burning something, you want to capture as much of the heat of combustion as practical (preferably the higher heating value, which condensing boilers and furnaces can do, but the lower heating value is a good start), and you want to minimize the degree to which operating the heater forces you to replace conditioned air in the house with unconditioned outside air. A fireplace fails at this.
GPT 4 will admit to not knowing things in many cases where 3.5turbo does not (tested the same prompt), and either will stop there or go off on a "but if it did exist it might go something like this" type continuation. It still hallucinates a lot, but it's not at all clear that this will be all that difficult an issue to solve given the progress.
tjpnz pointed out how poorly the NZ government has done when an academic her was targeting by China.
In another parallel, China has reportedly been operating a police station here too.

https://www.nzherald.co.nz/nz/politics/report-of-china-run-p...
Author here. This is somewhat an ad, but also a bit of a manifesto for what I think is the main problem with the current passkey managers (only Apple and Google currently have released theirs).

1Password is also working on passkeys, which I think is great! Their support currently isn't out yet, but they also recognize that passkeys need to be exportable and transferable, which gives me a lot of hope for the future. I would also say that my preferred passkey manager is open source, which is part of why I built my own, but I do not mind at all people who want to use 1Password instead.

I've been working on passkeys for almost a year now, and I wanted to share my thoughts on how this part of the industry is going and what I think needs to happen next. Thanks for reading!
Copyright is a practical right, not an inherent right. The only reasons humans get copyright at all is because it's useful for society to give it to them.

The onus should be on OpenAI to prove that it will benefit society overall if AIs are given copyright. We've already decided that many non-human processes/entities don't get copyright because there doesn't seem to be any reason to grant those entities copyright.

----

The comparison to humans is interesting though, because teaching a human how to do something doesn't grant you copyright over their output. Asking a human to do something doesn't automatically mean you own what they create. The human actually doing the creation gets the copyright, and the teacher has no intrinsic intellectual property claim in that situation.

So if we really want to be one-to-one, teaching an AI how to do something wouldn't give you copyright over everything it produces. The AI would get copyright, because it's the thing doing the creation. And given that we don't currently grant AIs personhood, they can't own that output and it goes into the public domain.

But in a full comparison to humans, OpenAI is the teacher. OpenAI didn't create GPT's output, it only taught GPT how to produce that output.

----

The followup here though is that OpenAI claims that it's OK to train on copyrighted material. So even if GPT's output was copyrightable, that still doesn't mean that they should be able to deny people the ability to train on it.

I mean, talk about one-sided arguments here: if we treat GPT output the same as human output, then is OpenAI's position that it can't train on human output? OpenAI has a TOS around this basically banning people from using the output in training, which... probably that shouldn't be enforceable either, but people who haven't agreed to that TOS should absolutely be able to train AI on any ChatGPT logs that they can get a hold of.

That is exactly what OpenAI did with copyrighted material to train GPT. It's not one-sided to expect the same rules to apply to them.
How did you find that statistic?
https://archive.is/TXynK
> Why do these takes around open-source AI remain so popular?

I can only speak for myself, but I have a great desire to run these things locally, without network and without anyone being able to shut me out of it and without a running cost except the energy needed for the computations. Putting powerful models behind walls of "political correctness" and money is not something that fits well with my personal beliefs.

The 65B llama I run is actually usable for most of the tasks I would ask chatgpt for (I have premium there but that will lapse this month). The best part is that I never see the "As a large language model I can't do shit" reply.
I actually think it’s the other way around, his maturity is what makes his values, morals and ethics.
It’s legal but if you don’t consent to people doing it in your robots.txt you can sue them civilly
I went to school in the US and she is not actually from Japan. Both her parents were from Japan though despite her being born in the US. It could be a coincidence and have nothing to do with this Japanese cultural phenomenon, but it seemed pretty relevant to what I experience.
Not everyone has Python or any other web server installed and being able to just double-click an HTML file and access all the web features without any online or native component would unlock so many new use cases.
simonw’s linguistic argument seems to be “i’m right and i’m not gonna listen to you lalalalalala”. throwing a strawman paragraph comparison to a 5 word phrase doesn’t bolster his argument at all. You could just say “ChatGPT gets things wrong” instead of “ChatGPT will lie to you!” without the yelling and anthropomorphizing
working retail during the pandemic meant risking death. a lot of retail workers died.

the fact they weren't coal miners doesn't mean they didn't die from their work.
"They knew of my miscarriage"

So there appears to be a misunderstanding here. The enthousiastic-seeming politeness of one culture has accidentally convinced someone from a different culture that there was more emotional connection than there really was.

Just don't fall for it. It's mostly for show. Excessive politeness at a mass cultural level like that is simply an obligation. But this teacher doesn't understand that and, perhaps being a little more prone than average even in her own culture to forming emotional attachments with students, is misunderstanding what is happening.

Imagine you walk into one of those restaurants where people are super enthousiastic about you, with big hellos and showy gestures and maybe even some singing. But it doesn't mean you've formed a deep emotional bond with them. It's for show, that's just their baseline.

People everywhere in the world only have so much emotional bandwidth for strangers, but the difference in default displayed politeness level might make for some misunderstandings between cultures.
Best blog on the internet. I hope the author sees this, I've enjoyed every post the whole time through.
That's not a spectrum, they are separate and non-contradictory ideas. They might exist along a spectrum of progressiveness, but the point the parent made is that money triumphs over them all. It triumphed over privacy, it triumphed over freedom, and it's capable of a lot worse if we don't legally obligate these companies to act right.
Corporations are raising billions (with a B) of dollars to create and develop AI models. With that money they are buying up every bit of compute they possibly can. I'm not sure what level of funding you're going to get in your actions, but it's not going to be anywhere close to the levels needed.
Thar be dragons here, but here’s a nice overview by Chalmers:

https://youtu.be/-BcuCmf00_Y

Personally, I’m inclined to believe that consciousness requires an integrated attention-self-world model, but maybe not much more that that.
Moody, Standard & Poors and Fitch are RATING agencies.

RATING agencies are different from AUDITING companies different from CONSULTANCIES.

Rating agencies were somewhat restructured after 2008 (but are still kind of edgy) - because they did literally write AAA on a piece of paper for money. But there ratings were opinions and had no real legal meaning.
[1] https://github.com/Autossh/autossh
That's not too far removed from what Distributed Proofreaders did/does.
Well not to be a jerk but hackernews is the ycombinator forum and ycombinator was co-founded by Paul Graham. I don't think this forum will ever stop paying attention to him, but maybe we can hope that hackernews ceases to be the preeminent tech forum on the english speaking web. The moderation goal of promoting constructive discussion over partisan politics seems (to me) to be eroding as a lot of these mid 2010s SV tech founders get radicalized
> But my point wasn't strictly about efficiency of the VM.

MY point in addressing your efficiency comment is:

1) at least know what you're talking about, regardless of where the heck read it, before writing tech off wholesale, and

2) stop taking weak, adjacent-to-point cultural potshots, because it distracts from your point, which I actually think has some merit.

I hate discord, and actively have avoided projects that use it, as well. There, I said it.
Doesn't the poles get normalish day/night cycles during autumn and spring? If so, it would be a bit more than just a few hours of sun light each year.
My understanding is that the current web scraping situation is this:

* Web scraping is not a CFAA violation. (EF Travel v. Zefer, LinkedIn v. hiQ).

* Scraping in spite of clickthrough / click-in ToS "violation" on public websites does not constitute an enforceable breach of contract, chattel trespass (ie - incidental damage to a website due to access), or really mean anything at all. This is not as clear once a user account or log-in process is involved. (Intel v. Hamidi, Ticketmaster v. Tickets.com)

* Publishing or using scraped data may still violate copyright, just as if the data had been acquired through any means other than scraping. (AP v. Meltwater, Facebook v. Power.com)

So this boils down to two fundamental questions that will need to get answered regardless of "scraping" being involved: "is GPT output copyrightable" and "is training a model on copyrighted data a copyright infringement."
I know the Tiobe Index is flawed, but has anyone come up with a better solution?
It's not a single person working relentlessly. It's many different people doing one or two joke videos, not that much effort at all.
I don’t see any paint in the sets. And the rust came off the parts pretty easily.

(the green and red painted parts don’t exist in any of the sets we have. I bet you those do have lead.)
Ultimately I'm sure I'm going to be sorry I weighed into this, because maybe it's just personal preference and I'm not going to change anyone's mind and you are unquestionably not going to get me to ever touch that again. And I'm sorry if your feelings are hurt, and I appreciate that you and your coauthor know and love the system but my experience with it mirrors that Microservices YouTube joke

My biggest heartburn is that I have[1] to compile a boot configuration document. Some of that may be a concession to Ignition being inexplicably written in JSON, but it's possible the transpiler does some massaging and restructuring of keys, I dunno, I didn't want to compile a boot document

This is how one creates a file in Ignition: https://coreos.github.io/ignition/examples/#create-files-on-...

Contrast that with https://cloudinit.readthedocs.io/en/20.1/topics/examples.htm...

I grant you that https://coreos.github.io/butane/examples/#files may be the example of pre-transpilation using the `inline:` structure but for my use case of authoring that UserData dynamically, I don't have a `!TranspileUsingCuteNameOfTheDay` in CloudFormation

And since I haven't had my hands on the Flatcar ecosystem in a few years, I'm not going to have access to the very specific pain points of "well, this cutesy named thing is broken because it depends on this other cutesy named thing" but what it boils down to is cloud-init behaves sanely, has been around forever, and can be authored easily in a bunch of different circumstances

fn-1: yes, I can appreciate it's "just a JSON document" but no reasonable person is going to author JSON string literals containing data: URIs for contents
Good for you for being able to change your mind when new evidence appears.
The regex GPT gave me the other day was pure shite. However, that was only a small part of the job, so GPT was still a big win overall.
My pleb take is modern machine learning is just glorified complexity theory. Really all you are doing is solving hard problems in learning models by designing a continuous process, deterministic or randomized, showing it has desired properties of arriving at some optimal solution or probability distribution and then deriving a discrete algorithm that runs in polynomial-time because math optimization problems in general are NP-hard.

Now we have non-convex neural network models which require non-convex optimization which to me (again a pleb take) is just tricks of the trade from complexity theorists adapting the principles of convex optimization to things like gradient descent in deep learning by observing continuous local smoothness of the training objective at the stability edge thus some convex optimization can be used.

Why it's not taught instead of the confusing intro courses I'm sure have their reasons but it's another example of following what the universities teach in undergrad is not always the best road map for self-learners.
Or pay attention to exhaust from the remaining highly polluting sources. For example, two-stroke gardening equipment (and bad four-stroke equipment), some trucks (where are the AI-powered freeway cameras detecting gross polluters), motorcycles, etc.
I think it's less there is a misunderstanding, and more the author is simply expressing their frustration with this aspect of Japanese culture.
There’s nothing he could have done differently? Really, nothing at all? I’m of the opinion that he could have done everything differently.
You can't post like this to HN, no matter how another commenter is behaving. The site guidelines are quite clear about it:

"Please don't post insinuations about astroturfing, shilling, bots, brigading, foreign agents and the like. It degrades discussion and is usually mistaken. If you're worried about abuse, email hn@ycombinator.com and we'll look at the data."

https://news.ycombinator.com/newsguidelines.html

https://hn.algolia.com/?sort=byDate&dateRange=all&type=comme...

The reason is that internet users are overwhelmingly too quick to accuse other people of being spies, manipulators, etc.—it's a garden-variety form of online disagreeing that is at least as destructive to the community as anything people are accusing each other of doing.

We have long years of experience investigating this stuff and have nearly always found that it is simply a disagreement between people with different backgrounds happening to have different views. That doesn't mean there's no organized abuse—just that (as far as we can tell from the data we have) that's a rarer phenomenon than internet users poisoning the ecosystem unprompted. This leads to ugly things like mob behavior and good-faith users being hounded off the site. That's absolutely not ok, so we have to be careful about enforcing this rule.

For past explanation, if anyone wants more, see for example https://news.ycombinator.com/item?id=27398725. I also made a list of past moderation comments on this at https://news.ycombinator.com/chinamod.
> there is really no expertise within the national government level handle complex tax and accounting situations and they are instead all outsourced to these firms.

worth mentioning that the complex tax situations are the effect of lobbying of the big four firms in the first place.
Shouldn't that be the default position? The training methods are certainly patentable, but the actual input to the algorithm is usually public domain, and outputs of algorithms are not generally copyrightable as new works (think of to_lowercase(Harry Potter), which is not a copyrightable work), so the model weights would be a derivative work of public domain materials, and hence also forced into the public domain from a copyright perspective.

They are generally trade secrets now, which is what actually protects them. Leaks of trade secrets are serious business regardless of the IP status of the work otherwise.
Stream On
One way is to decrease the granularity possible, so a finger can easily pick the “exact spot”. Basically make movement discrete (maybe not the animation, but the locations you can be at from a game logic perspective).
A crucial facet of optimization for computational triggers in PostgreSQL pertains to the implementation of event triggers, which enable operations to be executed in bulk (per DML statement) rather than on a per-row basis. It appears that, at present, PL/Rust has not incorporated support for event triggers. According to the documentation:

> Event Triggers and DO blocks are not (yet) supported by PL/Rust.
To add, modern u-boot has enough UEFI support that you can get away with using it instead of this full tianocore-based implementation.
The trouble with normality tests is that you either have too little data (in which case they're useless) or too much (in which case their also useless).

I always think of normality as a nice theory for simple stuff, but you want to be running sensitivity analyses for all of your assumptions, including normality (which I don't think I've ever seen professionally, tbh).
FWIW buck2 doesn't seem to build with nightly-2023-01-24 at this time, nightly-2023-03-15 worked for me. (Nightlies from April cause an internal compiler error.)
Often you want to capture something, not just check if a match exists. But the theory of capture groups in DFAs is relatively obscure - for example tagged DFAs in the Laurikari paper, which is a difficult read. Does anyone know of an accessible writeup of these techniques?

Interestingly neither re2 nor Rust regex perform capturing in DFAs. Rather, a DFA is used to locate the end of a match, the DFA is used again to determine the beginning of the match, and then an NDFA is used to match a third time, to extract the capture groups.
Preserving the Sunset Editorial Sound Effects Library from the USC Archive
That's a non-argument and moreover, and more importantly, Macron never said or implied that.

Having productive relations with China does not imply agreeing to a forceful takeover of Taiwan.
> leadership

Including Putin? How would this work?
I don't think that makes ghosting after 4 years OK.
Pricing determines your business model (2014)
> I don’t understand the “you get what you deserve” mentality, when there is nothing he could have done differently to help expose government censorship.

Taibbi did a half-baked job at his reporting. He took one side of the story and regurgitated it, making him a useful idiot. People speculate that he did this for access. Of course, the other side (Twitter's new owners) did it because they're using him for their own narrative, and when they can't use him they screw him over just like they screwed everyone else before.

So, leopards ate his face.

"I didn't know leopards would eat my face, says woman who voted for the leopards eating people's faces party"
Fun! "To get you started, here’s an incredibly rare recording of the entire Wilhelm Scream recording session…"
Camera footage helps both your examples a fair bit.
I worked in government and they were still obviously smarter than the gov workers. Experience is not everything and I think that should actually be a major lesson from government employment practices.
I didn't realize dating was discussed.
Possibly, but the way I read it, ghosting wasn't just associated with this last "online lessons" episode, but had happened before many times. At least the way she tells it sounds it was very common.
What do they say if they are really sick, can't make the lesson, and will indeed contact you later?
An more useful thing to remember is Shah's approximation, which estimates the area under the standard normal curve from 0 to a point 𝑧 on the x axis as follows:

• 𝑧(4.4 – 𝑧)/10 when 0 ≤ 𝑧 ≤ 2.2
• 0.49 when 2.2 < 𝑧 < 2.6
• 0.50 when 2.6 ≤ 𝑧

Shah's approximation is accurate to within roughly ±½%.

Examples:

- The area under the standard normal curve within 1 standard deviation of zero is approximately 2(1(4.4 – 1))/10 = 0.68. (The factor of 2 is there to get the area on both sides of zero).

- The area within 2 standard deviations of zero is approximately 2(2(4.4 – 2))/10 = 0.96.

- The area within 3 standard deviations of zero is approximately 1 (because 2.6 ≤ 3).

- The probability of sampling from the standard normal distribution and getting a value less than 1.5 deviations above the mean is approximately 0.5 + 1.5(4.4-1.5) = 0.935. (The 0.5 term is there because we need to include the area to the left of 0, and Shah's approximation only counts the area to the right of zero.)

Reference:

Arvind K. Shah (1985) A Simpler Approximation for Areas under the Standard Normal Curve, The American Statistician, 39:1, 80, DOI: 10.1080/00031305.1985.10479396 (https://twitter.com/jordancurve/status/958026273149915136/ph...)
Would accepting it emotionally mean not having those emotions?
They could negotiate in bad faith, sure, but that's exactly where the collective bargaining of the union kicks in, and the union has the option of taking action. It exists for just this situation.
I interned at Tesla twice on the capital expenditure team.

First time was during the "March to 2500", where we were going from proto production on the model 3, to full ramp up on the first line.

We worked 12 hour days, but we missed that target, for a number of reasons. Mainly the GA line was this complex layer of conveyor belts with mezzanines and lifts. We couldn't get all the parts to a compact GA 3 line like envisioned.

Elon came in guns blazing. He told everyone to rip out the conveyors, lifts and equipment and build a new, completely manual GA line 'GA 3.5' in the back lot in a tent and we have two weeks to do it.

IT WAS ALL HANDS ON DECK. Senior level, to interns. I was working a saw to cut through conveyors and drag them outside next to the VP of Engineering, solar. Elon was patrolling around, helping where ever needed.... for a month. He slept on a little cot in a the 'mars' room.

Everything seemed crazy at first, and incredibly destructive... Although alot of Tesla employees are bonafide Elon fan boys, but I though the whole thing was absolutely bonkers.

When Elon was walking around and saw a group standing around, he asked why they weren't cutting. They reply'd that they didn't have the torque tools to remove the motor and were waiting on someone to bring them. Elon proceeded to gather everyone around, put on glasses and cut directly through the $30k motor. He then gave alittle speech about how it is costing to company $4m a day to not be at run rate. The speed and efectiveness of our ability to build 3.5 was of the utmost importance. It fired everyone up and we worked our asses off to get foundation, sprung structure, and GA 3.5 up in the time period. We pushed all our suppliers very hard and we picked ones that could deliver on our timelines.

I've never had a conversation with Elon, but i have been in plenty of rooms where he has spoken to employees. I would say what makes him great is his technical prowess, his ability to focus on what matters, and inspire confidence in those who work for him.

I can't support his actions with twitter, but he's always been a loose cannon.