skysight-inc/HackerNews huggingface dataset:
"But I wish the authors expanded their position such that three quibbles were further debunked in the minds of those readers so that there's no such ambiguity or superficial loopholes in the authors' claims there."

Chomsky is writing an opinion article in the NYT, not a paper for an academic journal. I don't think there's room in this style for the kind of proofing that would be needed. And further, Chomsky spent his whole career expounding on his theories of linguistics and a philosophy of mind. The interested reader can look elsewhere.

He's writing an opinion piece which invites the reader to explore those topics, which could not fit into this style of article.
> I have the right to try to avoid books I would consider 'useless'.

Yes! Of course you have the right to choose what you are reading. Don't forget about it.

> What tools/metrics are there to help find meaningful books?

Do you really want a metric on a highly subjective matter? Does a bad rating on Goodreads means what the book is bad? Does that that mean what you wouldn't enjoy it if it relevant for your interests?

> it's probably a mix of everything.

Of course.

Try this[0] (or find a text copy, it's available on archive.org too), it's short and...

[0] https://archive.org/details/ExhalationByTedChiang
Because we have bodies that interact with the world and each other, and that's what language is based on. It's like computer science people completely forget how we evolved and created languages. Or how kids learn.
Maybe try saying something original, instead of putting words in my mouth.
There are sects that hold that position, mostly associated with Calvinism. In those sects, if you're not showing gratitude by good works, then you're probably not one of the elect.

If you're convinced that you're not one of the elect, and you've given up, then you've failed to have faith, so it becomes a self-fulfilling prophecy. Getting faith doesn't guarantee you're one of the elect, but not having it guarantees that you're not.

So an attitude like yours might work anyway, if you happen to be one of the elect, but the odds aren't in your favor.
Both of you have good points. The world needs cheap energy to function. Renewables are becoming more capable by the day, and can/will be that source of cheap reliable energy.

But the transition is not going to be instantaneous. If renewables are as cheaper/reliable/better as fossil fuel (and continually improving) the economic incentives will effectively push the transition as fast as is possible. The transition is supply constrained as much as anything. Production of solar, wind is rapidly growing, but it can only grow so quickly.
The (negligible) acceleration resulting from that air resistance (force) will depend on the mass.
>That is not the case here. When you have a thousand cars plug in to charge at the same time, you need enough power to service that load.

Batteries at point of consumption are a thing. Said batteries can be charged up when power is available, spreading the load. Not talking about the batteries in the cars, in case that wasn't clear. Think Tesla Powerwall. Things like this will become more ubiquitous and likely much cheaper as well. Not to mention grid-scale batteries, which help spread the load in other scenarios.

Also, nuclear and other things (including fossil fuels) will be part of the mix. So "solar isn't going to make this happen" is kind of missing that.
Russia pummels Ukraine with array of high-tech weaponry in nationwide assault
you consider scrolling through wikipedia a review of the formality of the field? I think you may need to consider how formal you are :)

And no, category theory is not even approaching explaining this. At all.
This is like everything else in life - people, education, work places etc..

Having said that, books with rating > 4.7 (of 5) on amazon are generally v.good.
Software Eats the World, and AI Eats Software
Can you give me an example use case you've ran into where you need to write a custom k8s operator/API?
For code using it like that, I live or as well, no need to try to understand the API docs (if even usable ), just be pointed in the right direction.

But code has a pretty strict check on correctness afterwards, thinking about it its pretty scary how chatgpt results can be used without proper validation. And they will, the step from "looks good to me" to "it is good" is a small one when you just want an answer.
Ridiculous article. No mention of the tendency for computing to become more efficient as tech improves.
Being structurally a tree and producing useful wood are two distinct things.
> It's not entirely clear what our brains do, but it is definitely clear it's not the same as something like ChatGPT

As a young child I was bad at math. Over many years I learnt to recognise patterns and understand the steps required to solve more complex formulae.

Today, I can solve 1287 + 9486 in my head. But ask me to divide those two numbers, and I’d use a calculator.

My brain is optimised for linguistic, probabilistic thinking — just like an LLM.

ChatGPT might not replace a deterministic calculator, but nor do we.
I never said the system couldn't translate Chinese to English, only that doesn't understand the meanings of the words it's translating, because they're ungrounded symbols. Words have meanings because they're about something. Searle never said a machine in principle couldn't understand, only that symbol manipulation isn't enough.

Obviously if we made something like Data from Star Trek, it would understand language.
Part of the reason that Scala's spec is so small that so many features are incredibly generic. Concepts like implicit are overloaded in a bunch of different ways and give rise to powerful but complex patterns that you need to understand to use the language, even if they're not strictly required for it. And since all of these different features and patterns are optional, you end up with every Scala codebase using a slightly different subset of the language, and different communities evolving very different ways of doing things. Look at Spark code vs. ZIO code and it's like night and day in a lot of ways.

Scala 3 improved the situation a bit by breaking the "implicit" concept down into a few discrete concepts, but the language is still incredibly expansive, despite the "look how few keywords we have" talking point.

Honestly, I do think that modern Scala is very well designed. But unfortunately the ecosystem and tooling and corporate support for it never really got to the point where it feels like a practical choice for most teams.
There is hard evidence that cancer exist that can be evaluated by individuals who do not make money treating cancer.

There is weak evidence of tall poppy syndrome being a workplace problem or a workplace problem affecting predominantly women.

If someone gave women a survey that asked “Do you believe that workplace stress on women is causing increased cancer risk?”, and 90% reported yes, that would be horrible evidence to decide that cancer research funding should be diverted to this women’s empowerment org.
You misunderstand how this works. They do not train it on Wikipedia. The Wikipedia article is part of the prompt. You can do this yourself by copy-pasting a Wikipedia article into ChatGPT and ask a question about it. The underlying LLM is still GPT-3 and trained on everything on internet.
You ask the people who programed it how much time they spent making it not explicitly endorse any opinions and what it was like before they put in this effort.
FastKafka – A Free Open-Source Python Library for Building Kafka-Based Services
FastKafka is a new open-source software available on GitHub under the Apache 2 license that simplifies the process of writing producers and consumers for Kafka topics. Inspired by FastAPI, FastKafka uses the same paradigms for routing, validation, and documentation, making it easy to learn and integrate into your existing projects.

Built on top of Pydantic, AIOKafka, and AsyncAPI, FastKafka handles all the parsing, networking, task scheduling, and documentation generation automatically, making it an ideal choice for developers looking to streamline their workflow and accelerate their projects.

With FastKafka, you can quickly prototype and develop high-performance Kafka-based services with minimal code. And, because it's open-source, you can use it in your projects for free and contribute to its development if you'd like.

We're excited to announce the release of FastKafka and invite you to test the tool and provide feedback for making it better. Visit the GitHub repository to get started, and don't hesitate to reach out to the FastKafka team with any questions or suggestions.
An enterprising and skilled hacker or group of hackers finds rich financial backers to invest in the equipment and time necessary to build a solution. There’s probably a whole underground scene or multiple connected scenes working on this stuff, composed of both hackers and their supporters.
We just launched The AI Creator Hub on Product Hunt! It’s a stacked resource full of AI tools, powered by GPT-3 that help creators launch their first course.
Children’s IQ dropped during lockdown, study finds
It translates curl calls to python requests very well. Also things like "wrap this piece of long running code and show a progress bar" and similar low level stuff.

You are right that it's absolutely possible to figure all this using google and documentation. But do you really want to spend X minutes googling for the correct python module and then figuring out ho to use it? When you can just show it your code and ask it to update it in seconds? It's like you have someone at your side who has already been there and figured out the answer for you.
It hallucinates all the time.

We humans just don't have a good intuition for what hallucination with an insane data set looks like.
The numbers in the article are difficult to believe.

"Almost 90 per cent (85.6 per cent) indicated that their stress had increased because of Tall Poppy Syndrome"

So 90% of women are very successful and "tall poppys"

"Almost 70 per cent (67.8 per cent) of respondents looked for a new role/job and 50 per cent left their previous role/job"

50% of the 90% of women got new jobs because they were cut down for being too successful. That seems like a lot of people, due to the numbers this probably involves the majority of companies. Where did they go work?

The article is very vague with numbers only using percentages. I would not be shocked if the total number of respondents consisted entirely of the authors friends and family.

Edit: it's actually worse than I expected. While there were more participants than I thought; 4k+, they were all on the mailing list of the org. So a woman's org focused on sexism in the workplace polled it's members to ask if there was sexism in the workplace and then reported it as widespread fact.

Terrible
I worked on an operator that manages Kafka in K8s. If you want to upgrade the brokers in a Kafka cluster, you generally do a rolling upgrade to ensure availability.

The operator will do this for you, you just update the version of the broker in the CR spec, it notices, and then applies the change.

Likewise, some configuration options can be applied at runtime, some need the broker to be restarted to be applied, the operator knows which are which, and will again manage the process of a rolling restart if needed to apply the change.

You can also define topics and users as custom resources, so have a nice Gitops approach to declaring resources.
> But how do you do it?

Any registrar that receives the transfer will automatically have the extended expiration date. (The expiration date is actually tracked at the registry.)

For reputable registrars, I think you could gather a list from HN comments and then "do your own research" to whittle down the list.
Perhaps, but probably not. Just doing some napkin math, to get to ten billion in withdrawals (ie only 5% of total assets of SV bank) you would need a million wall street bets subscribers to withdraw 10k each. Not a million to deposit it first and then retract it, a million retail subscribers who already had at least 10k deposited in this bank that mainly serves startups. I don't think it's very likely.

Also, it would still be extremely illegal to arrange this with the express purpose of causing a bank run. The excuse of "yes but it was on r/wallstreetbets" is not probably very impressive to the SEC.
Link to study

https://journals.plos.org/plosone/article?id=10.1371/journal...
And how long can they keep this up?
Completely agree. The joy is in the journey, not the destination. It's why I'm learning to draw despite AI advancements.
Coal exports are a huge part of Australia's GDP. Resource exports make 67% of their total exports https://www.rba.gov.au/snapshots/economy-composition-snapsho...

If Australia stopped exporting Coal (mostly to China), it would decimate not only their economy, but affect China (world's factory) making everything else expensive too.

Unpopular opinion: It seems with Coal or Gasoline, due to CO2 emissions, they've been seen as unclean and something we should switch away from. However their energy density is high, only below nuclear. Easy to transport, relatively safe. It's an amazing source of fuel.

I'm somewhat hopeful that someday we'll figure out how to capture 100s of millions of tons of C02 from atmosphere and turn it into synthetic gasoline-like fuel. All using solar energy.

The whole dance of global warming is because we know how to burn fuels and create heat + CO2 + H20, but we don't know how to do the reverse cheaply at scale.

Once we do that, then gasoline/ethanol is a renewable resource.

Lithium ion batteries are great, but gasoline is 100x denser than batteries.
Or not. Humans have gone from 320 to 420 ppm carbon dioxide in from 1960 to 2020. This useless model pulls out all the stops to justify its existence, including a 1500+ ppm increase in C02. Lmao! Clowns.

"Under this worst-case scenario, atmospheric CO2 concentrations increase to 1962 ppm by the year 2250"

Or how about their definition of "historical record"?

“This model simulates a carbon cycle in the atmosphere, ocean, and terrestrial biosphere, along with the increasing oceanic carbon uptake in agreement with historical trends (Figure 1b)."

What might this figure 1b show?

That the historical trends they talk about go from 1850 to 2020, but really from 1960-2020 if you look at it. In other words, not historical.

But it gets worse. If you look at figure 1b, you can see that actual observations only cover the period from 1980-2020, and the fit line is clearly tortured. Sure, they modeled 170 years and claim it fits the historical record. But they only used 40 years of "historical record", and even that to a layman is highly suspect.

In 1980, there is far more uptake of C02 than the model suggests, and by 2020, there is less C02 uptake than the model suggests.

So yeah, garbage study using 40 years of data that clearly doesn't fit the model and using a ppm of almost 5x what we have now.

Also, ocean accounts for 30% of C02 uptake, and this says it may decrease 1/3rd under the worst circumstances. This means the earth could lose 10% overall (not really!) of its carbon uptake ability.

But that 10% could be offset by a 14% increase in land biomass C02 uptake.

Pop quiz: how much more carbon does earth's land sequester if the C02 in the atmosphere increases 450%??
There was a short story (I think by Alfred Bester) with this premise. I can't find it at the moment though.

[edit]

I found it; it's called Disappearing Act[1]

In a future state of total war, patients at a facility for those with severe PTSD are going missing. They finally discover they are just disappearing while sleeping. Interviewing them, they find out they have been time-traveling to the past to escape the war. The general calls up a number of experts in various fields of sciences to try to understand it, until someone suggests calling in a historian. They find the one historian remaining in the country in a prison for refusing to fight. He observes that the stories reported by the soldiers are ahistorical and likely are fantasies created by the soldiers. He then states that a poet is the only one who could understand this. He then laughs as the general searches the country in vain for a poet.

1: https://thinkingoutsidethecoop.weebly.com/uploads/1/4/6/6/14...
Show HN: Ask the Pandas Documentation
It has limitations for sure. I asked it some questions about an API and it told me it had a specific capability, which I didn't think it had. Then I asked it how it knew that and it gave me an URL to docs and a quote. While the URL existed, the quote from that page didn't, and it never did exist (I checked.) It was incredibly strange to see it confidently tell me things that were clearly statistical extrapolations.

So yeah, ChatGPT is awesome, but it doesn't differentiate reality from its statistical extrapolations.

I think there has to be a way to possibly add a module on top that somehow is trained to identify reality-based content and when it is making up likely scenarios. Humans are capable of both of these modes but we differentiate between them. ChatGPT is capable of both of these modes, just doesn't have the differentiator yet.
Looks like a training helmet/system.

It seems like a lot of weld quality is evident through visual inspection. It would be interesting if you could use computer vision to rate the weld in near real time to help identify if the setting might need to be optimized before needing to redo the entire seam.
I thought of exactly the same thing. That story pops up for me every few years and I love re-reading it.

Sometimes I love the internet.
> People who lived in streetcar suburbs generally expected go get a significant amount of food from their garden which meant lots had to be fairly big, and if you look you discover they were larger lots than current suburbs (or at least that is the case near me).

It's the opposite in my 1920s streetcar neighborhood (alas without streetcars today). The average lot size is 1/10 acre. That's enough for some small scale gardening (tomatoes, potatoes, broccoli), but nothing that is going to produce a significant amount of food. Walking distance grocery stores (and even street produce vendors) were a big thing in those days. Cars were shoehorned in during the 1950s.

Our lots are tiny compared to the typical suburban California lot, which is more like 1/4 acre, and dwarfed by typical American suburban lot sizes.
How could we possibly ever test for "not feeling like an automaton?" The only possible test, it seems, is internal subjective experience. Even if something reported this, how would you ever verify it?
A good place to start is this randomizer for books with Wikipedia entries: https://www.locserendipity.com/Books.html

Random exposure to books might help you find something that is of greater interest to you that you would read otherwise. I found, for example, this book, which I found interesting by this method: https://en.m.wikipedia.org/wiki/The_Metamorphosis_of_Prime_I...
My thoughts exactly. Replace language with Go or chess and this could have been written 10/20 years ago.
I just released the new version of https//aidev.codes which you can use a prompt kind of like "give me a web page for managing a restaurant" .. it will output it and host it for pennies and if you want a subdomain its $5 per month. It is currently limited to simple static pages. But it can still manage something like recording restaurant schedules in localStorage.

https://news.ycombinator.com/item?id=35086436
I agree with your opinion, but disagree with measuring power use in terms of monetary cost. Doing it that way excludes most of the actual cost of power generation and use.
> Shouldn't have worn that petard if you didn't want to be hoisted by it.

A petard is a bomb, not a piece of clothing.
No. Even if they did, they could have said "we're not doing a Seinfeld parody anymore" which would have gone a lot better PRwise.

That's what makes how the devs are handling this baffling.
Why would they do this if they've already gone to the trouble to solve the problem for content they don't own? Just to show off by taking on unnecessary risk? The fact that they didn't build this infra specifically to protect their own content doesn't mean they wouldn't enjoy the benefit of the extra protection anyway.
These things are what I love the most about JEPs. Someone already discussed it.
I agree with you, but I'm not sure if it matters, and we could say the same thing about a person. We cannot prove that a human reasons, only that they output text that looks like it could be reasoning
You seem to be confused between 'capitalism' and 'capitalist'. Capitalism is a system of free trade and voluntary agreements. Meanwhile every capitalist I've worked for has dumped out long list of NDA's and other bullshit and said "It's voluntary to sign this and get paid, or not sign and not work for us, but every other business in the industry makes you sign the same things, so good luck with that".

And you're not taking in consideration that no agreement is far better than a binding voluntary one.
Yes, but Go is also popular and famously resists doing that as much as possible. Maybe language popularity isn't a good metric, since there could be other reasons a language becomes popular. Worse is better, and what not.
Didn't it come out a few years ago that OpenBSD -- or anything *BSD -- was one of the keywords that the MONSTER email sniffer used by the FBI. Like if you're using OpenBSD they're already trying to track you...
I'd imagine a thermal camera could be useful too.
Nah. Legumes are famously hard to digest without fermentation or other processing.
If you are using alpine as a desktop distro, don’t you have bigger problems than Netflix not playing?

(also how are you even using alpine for desktop. I tried to look it up once and gave up soon)
> Navidrome

Thank you. The two things I don't like having in Jellyfin are music and youtube videos (the latter are a real PITA if what you've ripped doesn't have a TVDB entry, which, fortunately, some Youtube series do—yeah, there's a 3rd party plugin to help out, but it's so unhelpful I stopped using it completely, broke other stuff, very fiddly, not worth it)

This gives me what looks to be a much-better solution for at least one of those. Looks like I'll be adding another docker container to my server this evening.
Isn't this more of a convince when sharing a link than removing the tracking from your own sessions? It kinda assumes that you're already at the final destination when copying so no redirect will be of any use. Or I'm just misunderstanding the purpose.
I don't know about a paradigm shift, but the craziest use of them I've seen is https://github.com/jhbrown-veradept/gophercon22-parser-combi... .

I watched the talk, thought I understood it "enough", then completely fell on my face trying to write a JSON parser.

Could be me though, maybe I should try it again now that it's been a few months
Every medium has creation and consumption costs, and it affects their average quality. Books have a high creation cost: both in time and money, relative to electronic mediums. They also have a high consumption cost, as you cant read a book in a few seconds like you can watch shortform content. These factors select for quality.
> These last two years have proven to me beyond a doubt that we are very close to the AI people are disappointed chatgpt isn’t, while before that I had entirely written of AI as a pursuit.

The problem with this is we don't know exactly where on the sigmoid growth curve we are. Every developer is aware of the phrase "the last 10% of task takes 90% of the effort" - we're at a point that is promising, but who knows how far away we really are in terms of years and effort. Are we going to run into a chat uncanny valley?
That's very different than sitting on bed purposefully trying to not do anything