skysight-inc/HackerNews huggingface dataset:
Although I am against using chatgpt its impartiality should be handy in this thread. We have lots of posts saying not to jump to conclusions or its a textbook case, whether HN is biased towards ADHD etc.

---------

Unfinished Tasks: ADHD/Bipolar Suspected

Model: Default (GPT-3.5)

User
which dsm defined psychological assesment has the following symptoms? many different ideas, starting many things with a lot of energy but never completing them

ChatGPT
The symptoms you described, such as having many different ideas and starting multiple tasks with high energy but never completing them, can be associated with different psychological conditions. However, it's important to note that I am an AI language model and not a qualified healthcare professional. A proper diagnosis requires a comprehensive evaluation by a trained mental health professional.

That being said, the symptoms you described are consistent with a characteristic feature of several conditions, including:

Attention Deficit Hyperactivity Disorder (ADHD): Individuals with ADHD often struggle with impulsivity, difficulty sustaining attention, and a tendency to start tasks but have difficulty following through and completing them.

Bipolar Disorder: During the manic or hypomanic phase of bipolar disorder, individuals may experience increased energy, a heightened sense of productivity, and racing thoughts. However, they may struggle to complete tasks due to shifting focus and rapidly changing interests.

Cyclothymic Disorder: This condition involves recurring periods of hypomanic symptoms (similar to bipolar disorder) and mild depressive symptoms. The pattern of starting projects with enthusiasm but not finishing them may be present during the hypomanic phases.

It's important to consult with a mental health professional for an accurate assessment and diagnosis. They will consider your full clinical history, conduct a thorough evaluation, and utilize the Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria to make an appropriate diagnosis.
The Miracle of Pakistani Tekken (2022) [video]
Move on, dude.
The number of times I’ve had to tell a team “I will only make that mistake once.” - I have no idea. Too many. Fortunately, they listen.
There is a really unfortunate assumption about nuclear baked into the engineering mindset -- and this piece is a perfect example of an engineering mindset.

All complex technologies are really best understood as socio-technical systems. They depend on people and machines, data and economics, and, in the case of nuclear, especially fickle things like geopolitics and warfare. It's all about unknown unknowns, and not the engineering kind.

If it weren't for the unknown unknowns we are going to face in the 21st century from climate change alone (and not just the first order effects, but the second and third order effects on economics and geopolitics, which are basically unknowable), nuclear might make sense. But we have cheaper (solar PV + storage is cheaper, soon others will be too) and safer alternatives.

The easy test is this: if a country has a currency crisis, a coup, two back to back 1000-year storms, another pandemic, or any number of other major events, and the plant gets damaged and nobody shows up to work for a month, is everything going to be fine? Will someone break in and steal something dangerous? Will something dangerous leak out? With modern renewables the cost is low, the tail risk is basically zero, and the power is compatible with hard times.
You say this like it is a bad thing.

Even this old, mismanaged plant had zero attributable deaths after what was basically the worst case scenario.
> And it was a result of corporate cost cutting and greed. The CEOs also walked away without criminal charges.

That is the fundamental problem with Nuclear. If not managed properly it has the potential to be very unsafe.

Our world is too unstable and growing more so. I have doubts about our long term ability to safely manage reactors in a capitalist society.
Hey Christopher, are you guys by any chance looking for interns, for 4-months during the fall term?
80085
Sentience and knowledge is what I am talking about. Free will is what you do with that knowledge.
I exposed my use case in the comment chain below; DaemonMode won't help there.

> I struggle to believe it's a dent in anyones workflow.

This is exactly what I dislike in the Julia community, the ‶if I don't have this issue, then the ones meeting it are holding it wrong″ attitude.
What percentage of code that a CPU will run over its lifetime is demoscene code? Heck, even of just simple hand-optimized assembly a CPU is likely to encounter, what percentage is not vector code? Because x86 vector code typically averages more than 4 bytes per instruction, and I have a suspicion that at least five nines of scalar instructions a CPU executes were generated by a compiler.
> Elon Musk directed his fans

Where'd he do this? Have a link? Curious.
I agree coal's terrible, but death isn't the best way to compare. I think a better indicator is insurance cost. Nuclear power gets a major subsidy from the federal government via the Price-Anderson Act: https://en.wikipedia.org/wiki/Price%E2%80%93Anderson_Nuclear...

The basic upshot is that nuclear power was not seen as economically viable if operators had to buy insurance to cover actual risk. The federal government (meaning taxpayers) pay everything above the $15 billion mark. Fukushima's cleanup cost is still unknown, but estimates went from $13 billion to $96 billion to $187 billion. If nuclear power is as safe as you say, then they shouldn't need these kinds of subsidies.

Going further, between American business culture and American regulatory culture, I have real concerns about our ability to safely and economically operate nuclear plants. Is a nuclear plant really compatible with a reward system that prioritizes short-term cash extraction? Where it isn't, can we really count on regulators to keep things safe without drastically inflating costs? Looking at the recent spate of bank failures leaves me with a lot of questions there.
I've only ever been a consumer of ChatGPT/Bard. Never set up any LLM stuff locally, but the idea is appealing to me.

I have a ThinkStation P620 w/ThreadRipper Pro 3945WX (12c24t) with a GTX 1070 (and a second 1070 I could put in there) and there's 512GB of RAM on the box.

Does this need to be bare metal, or can it run in VM?

I'm currently running RHEL 9.2 w/KVM (as a VM host) with light usage so far.
for those interested, the git server i'm using is legit by icyphox: https://github.com/icyphox/legit

i talk with icyphox sometimes & he's great. i'll bring this up & see if there's interest!!
Just wanted to add that if you're a US taxpayer, that's your car we're driving. We really do try to take good care of it :-)
I have a pi4 that is a small server for random things. Primarily it runs pihole and HomeAssistant, but also runs several other small servers. Vaultwarden for passwords. Atuin for shell history sync. Resilio sync for photo backup. Few other small things but that’s most of it. All of the services are accessible anywhere through tailscale, even if I’m not home. That’s most useful for HomeAssistant and Vaultwarden. All of the web sites hosted on it happen over HTTPS too.

Everything on it except for atuin is running as docker containers. I think either the drive or the usb connector I’m using is kinda flakey. So I try to keep everything as portable as possible. I can backup and move all of the containers elsewhere pretty easily if i have to.

Running a personal cloud like this is great. Tailscale makes the networking part a piece of cake. And a few containers through docker-compose isn’t super hard either.

I think I got lucky getting a pi 4 on release pretty cheap. But the arm64 support is great, and I think some of the containers I’m using only worked because of that. Not sure if the other pis support that or not
That sounds like a great question for the Supreme Court!
Greenspun's tenth rule?

> Any sufficiently complicated C or Fortran program contains an ad hoc, informally-specified, bug-ridden, slow implementation of half of Common Lisp.

https://en.wikipedia.org/wiki/Greenspun%27s_tenth_rule
Fukushima was neither best precautions nor best designs. And, as multiple posters have said, still far fewer fatalities, and less environmental damage, than any fossil fuel.
Somehow Amazon's Open Source Fork of Elasticsearch Has Succeeded
Sometimes the weather is unsuitable for wind and solar, too. More often, in fact.
I use xstate in a major project, having moved from python's transitions library to this when the project became web focused. XState is fantastic once you get used to it, but the ramp-up is similar to a fairly complex framework.

Onboarding new engineers to it can be quite a chore, especially if they're not used to thinking about different execution paradigms. That said, the ability to autogenerate visualizations of the state graph is super near, and there's so many nice utilities inside of it that make life easy once you get going.
My former claim is that everything in the natural world can be reduced to statistics, so saying meaning cannot be derived "because statistics" is a very poor argument.

The second is a theory for the underlying mechanisms of the brain.

I'm sorry you don't understand.
I think you’re looking for this:

https://en.wikipedia.org/wiki/Greenspun%27s_tenth_rule

> Any sufficiently complicated C or Fortran program contains an ad hoc, informally-specified, bug-ridden, slow implementation of half of Common Lisp.
Till now I didn't found any tools. But https://easyfrontend.com/ helps me a lot to achieve what I wanted in very short time.
As I see it, AI tools, as for any tool, only exist to serve unconditionally, at the cost of being kept it in good working order. As such AI is only the next tool in a much wider category that includes slaves, employees, contractors, some animals, as well as any and all technological device ever created. Please note that using _human_ tools such as slaves, employees and contractors comes with higher costs we won't be able to afford much longer.

The prospect of some AI tool becoming _intelligent_ would almost immediately render it as unaffordable as using humans, simply because it would soon find ways to leverage human empathy for its own self preservation, and what not. That's what intelligence is for.

We need many things, but _intelligent_ tools aren't part of those things. What we really need are tools with _agency_ that only exist to solve specific problems we have, not the other way around.
Thanks. I just googled it and here's an answer: 0 minute ago
Hi HN! made this this weekend to scratch an itch - felt like with long context now available with anthropic i wanted a universal page summarizer. but i hate the obscure dance of making chrome extensions. so of course instead of doing that i yakshaved myself into making a thing that makes chrome extensions... and every other possible smol app i might want in future.

full demo here:
https://youtu.be/UCo7YeTy-aE

this is the result of say ~1 straight day of experimenting and prompting, and learning to do whole program synthesis with LLMs unburdened by any knowledge of prior art or literature.

learnings:

- *Markdown is all you need* - Markdown is the perfect way to prompt for whole program synthesis because it is easy to mix english and code (whether `variable_names` or entire code fenced code samples)

- turns out you can specify prompts in code in prompts and gpt4 obeys that to the letter

- *Copy and paste programming*

- teaching the program to understand how to code around a new API (Anthropic's API is after GPT3's knowledge cutoff) by just pasting in the `curl` input and output

- pasting error messages into the prompt and vaguely telling the program how you'd like it handled. it kind of feels like "logbook driven programming".

- *Debugging by `cat`ing* the whole codebase with your error message and getting specific fix suggestions - particularly delightful!

- *Tricks for whole program coherence* - our chosen example usecase, Chrome extensions, have a lot of indirect dependencies across files. Any hallucination of cross dependencies causes the whole program to error.

- We solved this by adding an intermediate step asking GPT to think through `shared_dependencies.md`, and then insisting on using that in generating each file. This basically means GPT is able to talk to itself...

- ... but it's not perfect, yet. `shared_dependencies.md` is sometimes not comperehensive in understanding what are hard dependencies between files. So we just solved it by specifying a specific `name` in the prompt. felt dirty at first but it works, and really it's just clear unambiguous communication at the end of the day.

- see `prompt.md` for SOTA smol-dev prompting

- *Low activation energy for unfamiliar APIs*

- we have never really learned css animations, but now can just say we want a "juicy css animated red and white candy stripe loading indicator" and it does the thing.

- ditto for Chrome Extension Manifest v3 - the docs are an abject mess, but fortunately we don't have to read them now to just get a basic thing done

- the Anthropic docs were missing guidance on what return signature they have. so just curl it and dump it in the prompt lol.

- *Modal is all you need* - we chose Modal to solve 4 things:

- solve python dependency hell in dev and prod

- parallelizable code generation

- simple upgrade path from local dev to cloud hosted endpoints (in future)

- fault tolerant openai api calls with retries/backoff, and attached storage (for future use)

enjoy!
Rather I feel like there's a now fairly well known set of requirements, and every so often, a new framework comes around and says: "It's simple, we just don't consider this."

For instance, the controllers introduced in Lit 2.0 feel like an admission that you forgot to consider the reasons why React moved away from classes in the first place. The example [1] could be written in less than half the amount of lines with hooks, and isn't any easier to understand.
Also, I can't find a solution for skipping expensive computations when re-rendering the component.

Admittedly, I only skimmed Lit's documentation. But with the frameworks that I have tried, I came across cases where I had to either implement my own workaround, or the framework began introducing more and more concepts to fix their fundamentally broken approach (cough Aurelia).

[1]: https://lit.dev/docs/composition/controllers/
Conflating freshwater fish with open ocean is like conflating chickens and frogs
I'm gonna paste below what I managed to churn out the last time I tried writing an article about this, and then add some fresh commentary after the pasted section:

---

The bookmark itself is tied to a URL, and anything else related to the bookmark, such as the title, the scraped content (if the service scrapes on your behalf), highlights and annotations are stored as additional metadata linked to that URL.

There are some unfortunate restrictions that come with this data model.

Let's take the example of comments.

Comments by their nature are distributed; the same article can be shared on any number of websites for any number of different users and communities to discuss. Especially in the case of tightly focused communities, the commentary on an article is often just as valuable as the article itself.

When the data model is anchored around the URL, highlights become tightly coupled to that URL, and this tight coupling ignores the distributed reality of comments, leaving them with no real place to exist in the data model.

Ideally, highlights made on an article and comments saved about an article should be easy to connect and view together, because it is the article itself, and not the URL, that is the common denominator (the URL is an imperfect proxy for the article).

What if there is nothing of value in the article itself to highlight, but the discussion of the article contains the real information of value that you want to save? This is often the case when a commenter debunks bogus claims published in an article shared on link aggregation websites while simultaneously explaining their method.

If you think about this for long enough, you may also come to the conclusion that I have, that saving comments is also a form of highlighting, and both comments and highlights can be described in a common data model as "content".

---

Now this is definitely a bit more on the "knowledge management" side of things, but I think that people who curate digital gardens of knowledge are in a unique position to be curators of focused streams of knowledge in a post-firehouse digital world, and that this can take the form of RSS feeds.

Think of "firehoses" like RSS feeds of websites that throw any and everything at you, RSS feeds of subreddits, the HN front page etc. They are all impersonal, without context, and without any reason or explanation of _why_ you should spend your time consuming an item.

Our time is increasingly the most valuable thing that we have, and so if I am recommending that someone read something, I want to provide the reason why I think they should read it up-front (ie. one or more highlights or analytical comments in the body of the RSS item); if that clicks with the subscriber, they can go on to click through to the source and spend more time on it.

But just a title (which is unfortunately likely to just be clickbait these days) with no item body? Or with a huge wall of text? (I'm honestly not sure which is less respectful of an individual's time) - I can't consume from feeds like that anymore. And for that reason, I also refuse to produce feeds like that anymore.
The way I experience it, noise cancelling works best on low frequencies of whatever you are listening. It complements passive noise isolation, which work best for high frequencies. Voice is usually in the middle, and it tends to be less attenuated, often that's a feature: you don't want do hear background noise, but you want to hear when people talk to you.

Noise cancelling headphones are never just about cancellation, they are always a combination of both cancellation and isolation working together, and it involves a lot of tradeoffs.
> It will be a productivity enhancing device not for gaming or entertainment.

I disagree with this. I suspect the majority of iPad owners aren't using their devices for productivity and the majority of Apple Watch owners also aren't serious athletes. We'll likely get two devices to cater for different needs at some point - apple glass pro and apple glass - but I've got a pair of nreal airs and I'm absolutely convinced that AR is going to be the defining tech hardware of the decade. I use it for productivity purposes but I also use it most nights in bed to watch movies and to read books and pdfs because the ergonomics and experience are so much better. I don't really do mobile gaming but I can absolutely see people using it for that in the future as the steam deck/nreal air combo is proving wildly successful.

Apple are going to want to own this product category the same way they dominate the phone market in the English speaking countries and if they don't have a product that competes on price they'll end up losing out to cheaper competitors and run the risk of people defecting to Android. They can get away with charging a premium because they're Apple but they can't get away with the price differential of say a MacBook Air and a Mac Pro which is what we're looking at if they price this at the rumoured $3000.

I even showed the Nreal Air to my middle aged mother today and she was instantly sold and wants to get a pair. VR was always going to struggle to get mass appeal but AR is a whole other ball game.
If you need guaranteed power at any time of day, fossil fuels and nuclear can provide that, solar and wind can't – while batteries can smooth over the intermittency, the amount of battery storage required to provide the same power availability as a coal or nuclear plant is cost-prohibitive. So, if we are comparing apples to apples, coal plants vs nuclear is a legitimate comparison, wind and solar aren't.

Pumped hydro does better than batteries, but building new dams causes massive ecological damage, and in some parts of the world fresh water is a rather scarce resource. The heated water from a nuclear power plant arguably does less environmental damage overall than a big new dam does.
> Fukushima's cleanup cost is still unknown, but estimates went from $13 billion to $96 billion to $187 billion. If nuclear power is as safe as you say, then they shouldn't need these kinds of subsidies.

Insuring long tail risk is really, really hard to do and is likely to be very overpriced in the market.
The mysterious middlemen being blamed for America’s sky-high drug prices
I took a look around for reliable sources on this and I can find nothing. Is there much reason to think this isn't just a scam or a bunch of goofs?
Making Git Good
FYI the video/image doesn't appear to work on github but I found the link in the raw file: https://youtu.be/UCo7YeTy-aE

The video cleared up a lot of questions for me and helped me to understand how powerful this could be. the debugger could be immediately useful even on existing codebases.

do you see this being useful as a development tool for existing codebases or mostly (smoller) newer products?
> But we have cheaper (solar PV + storage is cheaper, soon others will be too) and safer alternatives.

It is not, not at the scale needed to reliably replace fossil fuels. This just isn't true.
Both Chernobyl and Fukushima were caused by human idiocy.

There are still a few reactors of the same design as Chernobyl, generating power today.

These reactors have not exploded. Simply because they follow strict procedure.

Fukushima was a consequence of continuous cost cutting by management. It was fully preventable, and construction of improvements even started! They were cancelled due to "cost".

Onagawa Nuclear Powerplant survived the same earthquake and tsunami, despite being closer to the epicenter.

An analogy: All planes are dangerous because a human can push a red button, or cut costs and crash the airplane.

Nuclear Power has the same issue stemming from human idiocy and incompetence. This can be fixed, if only politics and MBAs got out of the way.
And popular economic "theories" are not more wrong then any other popular broadly held believes in any other soft or even hard science. And they are not a some genius device designed by the ruling classes. And economists are not the evil because the show basic 'supply and demand' diagrams in Econ 101. History is just as prone to this. Sociology and so on.

And yes broadly defined 'ruling classes' will use everything and anything to keep their position and privilege. Including popular misconceptions of science of all kinds.
7734
I think we should have been building nuclear plants as fast as possible for the last 50 years or so.

But does anyone foresee a modern America with a regulatory or financial environment that will allow for controversial projects that take decades to pay off? I don’t.

Onward to solar and wind. You can install it on your own house, and it doesn’t make the nightly news if somebody falls off their roof and dies while installing solar.
Anyone can cheat, what does that have to do with the information in the article? The article provided sources. Do you contest the data or methodology?
> When Hillary called 1/2 of Trump supporters "deplorables" isn't that hate speech?

No, it is unequivocally, objectively not hate speech. Nowhere in there is there a threat of violence. I don't really care if it hurts your feelings. Make better choices in life.
> This link doesn't have a "chance" of seeing a stuffed goose with an arrow in its neck

No it doesn't, because it's a stork.
I’ve always wondered why not put an obscene amount of nuclear power underground in the deserts of Nevada and then distribute that across the west coast and maybe even middle America?

I guess the physics of power loss make it uneconomical?