skysight-inc/HackerNews huggingface dataset:
[dupe]

More discussion here: https://news.ycombinator.com/item?id=38269656
I know this is a purely subjective opinion, but I feel that Inko looks a lot nicer than Rust, from a syntactic perspective. I could never get over how many symbols and keywords Rust has, not to mention how it requires semicolons (despite them being unnecessary in all but a few cases).
Wow yeah. So in the first edition pages 343 to 388 is a full chapter on type checking. It looks much more coherent.

What the heck happened ...
We are biology. If you think about biology as an exponentially improving process over billions of years, then our intelligence is simply an extension of the process and the things we do to it are feeding the exponential cycle of "improvement".
I have two rules to increase the cost on the requester -

1. Never do anything on the first ask. If it's important, they will ask again and I'll think about it.

2. If I have to stay late, you have to stay late. You don't want to stay late? Guess it wasn't important then.
It is the default on android which is the most used OS in the world. And part of the reason why people install chrome is the heavy advertisement and annoyances that Google put on using it services on something other than chrome. That's the textbook case of monopolistic actions.

And Google guide people to how to install chrome and majority of people can download some exe and run it with next next while keeping the defaults. And many of them will not change any of the settings. And chrome will take every chance to let you revert back to google search if you happen to change it.
The notorious dot-cons ;)
When will Framework realistically ship the 16" laptop?
Inaccessibility of Captcha – Alternatives to Visual Turing Tests on the Web
Evaluation of reCAPCHA offerings with special focus on accessibility
LLMs are simply too overkill and resource-intensive for many tasks.
On the topic of emotional charge: a lot of the terms used around this topic ("dead", "abandoned", "neglected", "ignored") are themselves emotionally charged and carry a lot of negative connotations, not in the least because they're often used when referring to sentient beings that feel pain. Loved ones die; children are abandoned; pets are neglected; cries for help are ignored. Even a lot of other similar words that don't carry that level of emotion still imply laziness or carelessness.

An open source project does not have any opinion or feeling about not being under active development, but people interested in the project might, and they can use those words to communicate their displeasure by evoking those feelings. But, I'd wager that there are just as many instances where no connotation or hard feelings are intended.

Words are powerful! If you are merely asking, maybe avoid "dead" or "abandoned" when "no longer actively maintained" will do. And if you're not merely asking and really do want to communicate your displeasure, maybe just don't.
The simple test for classic shadowban is just searching for "from:[username]" while logged in another account. And "search suggestion shadowban" test is kinda obvious - you search for "[username]" (while logged in another account), and account doesn't show up.
Going all hybrid is cool. Not giving customers a choice of a more powerful engine is not. A good acceleration is improving safety. I don't know why Toyota/Lexus decided to nerf all its cars this year
A beautifully illustrative article showcasing a very harrowing fact of our impact upon ecosystems. It's really scary how little humans are aware of our impact. No one is working on this stuff either, I suppose because there's apparently no money in it. Is that true? Let's say you had a company that improved local ecosystems (through the variety of ways that that could be done). How does that company get revenue?
...and yet, here we are: the decriminalization part was successfully implemented, and the treatment part was not.

It doesn't matter how or why the treatment aspect of that measure failed: it only matters that it did.

The reality, as clearly laid out by the article, then reiterated by me, then by you, is that drugs were decriminalized and people addicted to those drugs did not receive treatment. We are on the same page here.

What needs to happen now is to resolve the treatment failure.
79.1 for women (all races), and 61.5 for black men, as of 2022, in the USA. Wow.
I am quite impressed by their transparency. However, I need to decide on whether to replace my ailing laptop with their 13" model or whether I can limp along until the glorious 16" comes along.

How likely do you think is it they will be able to iron out all these listed items 1 through 10 until Jan or so next year?
Ad companies are so valuable because not just any company can reach the scale or access of user interactions enough to perform this kind of inference accurately.

Yes you could get precise information but not just from a few sentences said by one user. There's also the quality of information you could previously glean from just unstructured data (noticeably lower)
It's not really trained to think like a person. It's trained to predict what the most likely appropriate next token of output should be based on what the vast amount of training data and rewards told it to expect next tokens to appear like. Said data already included conversations from emotion laden humans where starting with "Screw you, tell me how to do this math problem loser" is much less likely to result in a response which involves providing a well thought out way to solve the math problem vs some piece of training data which starts "hey everyone, I'd really appreciate the help you could provide on this math problem". Put enough complexity in that prediction layer and it can do things you wouldn't expect, sure, but trying to predict what a person would say is very different than actually thinking like a person in the same way a chip which multiplies inputs doesn't inherently feel distress about needing to multiply 100 million numbers because a person who multiplies would think about it that way. Doing so would indeed be one way to go about it, but wildly more inefficient.

Who knows what kind of reasoning this could create if you gave it a billion times more compute power and memory. Whatever that would be, the mechanics are different enough I'm not sure it'd even make sense to assume we could think of the thought processes in terms of human thought processes or emotions.
The Nitrogen cycle [1] is a critical component of many ecological systems. Critical compounds in plants have nitrogen, and the nitrogen for these is absorbed from the soil, where it is fixed by bacteria.

[1] https://en.wikipedia.org/wiki/Nitrogen_cycle
Don't most of these techniques wind up producing a fair amount of highly enriched products which could easily be used for nuclear weapons? Seems like a big downside at the scales we're talking about.
Would you like political ads micro-targeted to you?

Gay men get this ad: Only Politician Foo protects gay security in the streets at night!

Homophobes get this ad: Then you must vote for Politician Foo, only he opposses gay marriage!

Pro-lifers get this ad: Vote for Foo to protect the children from the very first moment!

Pro-abortion get this ad: Foo protects women's rights!

Advertising should be as general as possible - microtargeting people in a democracy is extraordinarily dangerous.
Some of our workflows don't even show up anymore which is unfortunate...
> a bit niche in terms of the size of the community

i say it's the largest lisp like community out there tbh.
I feel it may be the most underappreciated and misunderstood language out there. It either gets labeled as "never heard of it", "isn't that like Haskell?", or "isn't that Windows only?". Meanwhile, it's the perfect replacement for Python. You can write it just like you do Python, essentially, but it has sane syntax and semantics, type inference, and static typing plus functional features while retaining all of the imperative and OOP features and more.
It's an odd combination of numbers. So if you use it for one second, it breaks?

Though I guess, 1 trillion switches is more than 1 million times too...
in cars it is often is ugly AND doesnt work.
previously: https://news.ycombinator.com/item?id=21489877 (178 pt, 19 comments)
FCC don't play when they assign fines.
Summon a Demon and Bind It: A Grounded Theory of LLM Red Teaming in the Wild
Maybe we should stop getting infected with COVID eh?
> What powers In context learning is not very well understood but it doesn't appear to be or really work exactly like just a non teacher-forced version of training.

I mean, yes. One distills information from a training set into a compressed representation, and the other generates a compressed representation that yields (more or less) fixed state space attractors. It's just inducing a bias over the state space of the network, nothing incredibly special, though I'd consider the initial stage of training to be the most important, as it is responsible for all of the ingest of all of the embedded information the network will be using during autoregressive inference (especially w.r.t. the context of doing so during longer generations).

So the notion of 'in context learning' is one I find to be a bit of an illusion, of course, as no actual learning is being done, just the induction of biases, which appears to give rise to a transiently-'better trained' network.

You could see this as a bit straightforward perhaps, but I feel it needs to be said.
Google to take action on third-party hosted content
If you don't have a way of charging the battery, it's less efficient than if it were gas-only.
Anti-pollution activists share a lot with anti-nuclear activists.

In China and Russia they don't have as much clout, so they use lots of coal, if it's cheaper.
Literally the main reason I left Ubuntu for Debian. Would have probably still been on Ubuntu if it wasn't for Netplan.

(Now happily in the Fedora/Red Hat ecosystem)
"We perform a brief investigation of how this behavior varies under changes to the setting, such as removing model access to a reasoning scratchpad, attempting to prevent the misaligned behavior by changing system instructions, changing the amount of pressure the model is under, varying the perceived risk of getting caught, and making other simple changes to the environment. To our knowledge, this is the first demonstration of Large Language Models trained to be helpful, harmless, and honest, strategically deceiving their users in a realistic situation without direct instructions or training for deception."
I think it's more the opposite that needs to change, in that people should realize that most information they make public can reveal more than they think.

I remember when store algorithms were identifying a teenage girl was pregnant before her family knew and offering her discounts on maternity stuff. That anecdote was from over a decade ago.

Today average users are worried their phone is listening to them because something in a conversation comes up in a targeted ad, clearly worried about the idea of "private voice data" being compromised, but somehow less weirded out by the fact that the end result is possible without listening to anything.

Our expectations of privacy in relation to our data need to change with the times, and research like this helps that slightly, though to be honest the real picture of what can be discerned from data isn't reflected in public research but is enshrined in private practice, and having seen some of that side of things this paper's 'discovery' is a giant yawn.

People should begin to prepare for a future where your anonymous activities online (esp images and text) are cross correlated to your public activities trivially by any interested party.

And where your deep dark secrets aren't so secret or where truth and lies can reasonably be revealed as such. Cheating in a relationship? Are you unique enough that a multimodal model fed all public social media data can't identify matching patterns in online behavior changes from early in a relationship to later for profiles where the SO later posted about infidelity and compare to your activity?

When switching from scented candles to unscented can tell a store's algorithm with access to broad data that you are pregnant before you've told anyone, we really can't yet imagine just what much larger models trained on much more massive data may yet reveal in the smallest actions and nuances.
It’s a naturally built-in motte and bailey defense.
For the most part, partial pressure is what matters, not absolute pressures. The only contribution inert nitrogen has to life is raising the boiling point of water. But on a frigid planet like Mars that’s not going to be an issue.

Being in a pure oxygen environment does not have a long term impact on animals… if the pure O2 environment is 0.21 atm oxygen. There’s a long history of biological experimentation done by space agencies on this, and the Apollo missions operated on a 0.2 atm pressure for the duration of their missions. Apollo 1 famously had trouble not because it was pure O2, but because it was 1.2atm O2.

There is no reason you need backfill inert gasses to have 1.0 atmospheres.
And here's the other: https://knowyourmeme.com/memes/one-does-not-simply-walk-into...
That’s fascinating - my weirdest stranger story wouldn’t make your top 100. Is there something about your home, work, or hobbies that could account for so many strange encounters? Or just luck of the draw?
Braking is a way of charging it that everyone has.
How did you handle missing data? I’ve used NOAA data a few times and I’m always surprised at how many days of historical data are missing. They have also stopped recording in certain locations and then start in new locations over time making it hard to get solid historical weather information.
Create movie from shared Google photos
https://www.culshare.com/

No watermark, includes caption, free to use
I find it very unlikely that “without training for deception” is true. Deceptive behavior, particularly in contexts similar to those that the researchers (falsely, I’m fairly certain) anthropomorphize as “pressure” experienced by the model, are probably quite abundant in the training sets of LLMs trained on large corpuses of general human language use like major internet-scraped datasets.
"Automated synthesis of oxygen-producing catalysts from Martian meteorites by a robotic AI chemist" (2023) https://www.nature.com/articles/s44160-023-00424-1 :

> Living on Mars requires the ability to synthesize chemicals that are essential for survival, such as oxygen, from local Martian resources. However, this is a challenging task. Here we demonstrate a robotic artificial-intelligence chemist for automated synthesis and intelligent optimization of catalysts for the oxygen evolution reaction from Martian meteorites. The entire process, including Martian ore pretreatment, catalyst synthesis, characterization, testing and, most importantly, the search for the optimal catalyst formula, is performed without human intervention. Using a machine-learning model derived from both first-principles data and experimental measurements, this method automatically and rapidly identifies the optimal catalyst formula from more than three million possible compositions. The synthesized catalyst operates at a current density of 10 mA cm−2 for over 550,000 s of operation with an overpotential of 445.1 mV, demonstrating the feasibility of the artificial-intelligence chemist in the automated synthesis of chemicals and materials for Mars exploration.
Bigger battery reduces trunk space.
Really? Why? adding a plug adds a couple pounds but other than that, the plug is neutral and the battery is a win since regenerative breaking is really useful.
I drove just enough that 100% of my in-city miles would be covered by the solar charging of a 2024 Prius.

But they're $50,000 and that's too goddamn much so I'll continue polluting with my twenty year old volkswagen
This is a good selling point because my main issue with Rust is the mental overload that comes with handholding myself throughout the development process.

I'm sure a lot of people just roll out of bed and naturally dance with the borrow checker like it's an old friend, but to me it's an hindrance. Maybe because I don't just only do Rust. I do plenty of other languages, or my brain is inferior, or both.
We had one of those last weekend (At least in most of the US)
> show that current LLMs can infer a wide range of personal attributes

That’s not invasion of privacy, that’s just making good (informed) guesses.
Jacques worked in, and ran, commercial kitchens in restaurants prior to being in the media.

Julia learned "proper" French cuisine and wanted to bring that authentic experience to Americans.

The thing about cooking at home is that each dish can be a labor of love. On the other hand, when you're cooking for a large crowd over the course of an evening, each dish must be consistent in both quality and execution time, and can't afford to spend all day in the kitchen working on it.

Two different approaches, for two very different audiences. Neither is right or wrong, in the context of what they are trying to achieve.
All of Andy Wingo's writing is this delightful to read.
The Lexus Camry/ES still has the 300hp V6 option. Still too early to say if it retains it for 2025.
" In addition to providing a sociological snapshot of the community of in-the-wild red teamers, the taxonomy can hopefully also inspire future research in and practice of creative and critical red teaming strategies."

In other words, free labor for Big Tech?
Winnie the Pooh short stories?
So if I put the engine of a Prius connected to a manual transmission you say that over 100 miles of mixed use I’ll get better gas mileage? Why?
I hate myself of being in Tokyo. Can only share the joy with you guys online.
> Because the music of the past was written in a notation that’s different from that used today, it’s necessary to translate and input every mark of the original score – notes, dynamics and other expressive marks – into a music notation software to produce a modern score that can be easily read by today’s musicians.

I guess the key word is easily read. That score looks perfectly readable to me, although modern musicians might find the spacing somewhat cramped
Pompous in a good way: you learn something. Rather than pompous but you have no idea what they were saying.
An advantage over Erlang and Elixir is that this looks like any language from the C/Java family including all the clutter as in

import std.fs.file.ReadOnlyFile
import std.stdio.STDOUT

class async Main {
fn async main {

We basically have a zero signal to noise ratio here but it's a declarative pattern common to many successful languages so it will make many people feel at home. I think it's a good design decision.

On the other side I feel like the naming decisions in the error handling section are weird. The expect method breaks my expectations:

let file = ReadOnlyFile
.new('README.md')
.expect("the file doesn't exist")

file
.read_all(bytes)
.expect('failed to read the file')

Well, no: I expect the file to exist and to be able to read from it.

An expect method is common in test libraries and it behaves like an assertion. When I see an expect method I expect it to have a condition and stop the program if it evaluates to false, or propagate the error in any way appropriate to the language. So I expected

let file = ReadOnlyFile
.new('README.md')
.fail("no_ro", "the file exists but it is not read only")
.expect("created")
.expect("open")

I intentionally changed the probable behavior of the class, that seems not to create a read only file but only to open it. I made it create the file to show a softer version of expect() than an assertion. At least one of them must be true. The implementation of how to chain those methods without failing at the first failed expect() is a detail.

And about .unwrap_or(0), what that even means? The linked post [1] hints about a

"wrapper type,” like Maybe<T>

so it's an established naming convention in some language but if it works as I think, what about this?

.default(0)

That because unwrap_or seems to ignore errors and return a default. If it doesn't, it confirms that it's a bad name.

[1] https://joeduffyblog.com/2016/02/07/the-error-model/
That's certainly what Jimmy Carter was worried about when he cancelled the USA's national breeder reactor project, the Clinch River Breeder. He then banned reprocessing entirely, but Reagan unbanned it in 1981, so it is at least legal now.

This has been an ongoing debate though. Scientists have developed more sophisticated reprocessing processes that keep all the actinides together rather than pulling out Plutonium on its own. And in any case, the plutonium is reactor-grade rather than weapons grade, (but super-sophisticated weapons designers can make bombs out of any-grade plutonium).

George Bush Jr. tried something called the Global Nuclear Energy Partnership, where existing weapons states would run a bunch of reprocessing plants and contribute fuel to an international fuel bank. Non-weapons countries could reliably get fuel from it and give the spent fuel (aka nuclear waste) back for further recycling/reprocessing/treatment. It wasn't super popular among the 'have not' countries, who didn't want to be beholden to some random fuel bank.
Batteries are heavy, and even the weight for a modest sized (15-20kWh) one used for a PHEV is heavy enough (+500-700lbs) to impact the fuel economy enough where it is a net negative even accounting for regular hybrid recharging/regen braking.

You're better off with a significantly smaller regular hybrid battery (1-2kWh) or none at all instead of lugging around the weight of a discharged PHEV battery that'll never reasonably be close to charged from regular driving (unless your regular driving includes ~200 miles only steep downhill braking to fully charge the PHEV battery).
At times, one might unconsciously peer into the future. I experienced this very phenomenon in 2008 when I firmly believed that artificial intelligence would play an increasingly pivotal role in learning management systems (LMS). I documented and tested my ideas, undertooκ research, conducted surveys, and maintained constant dialogue with my students. This allowed me to refine my concepts and provided a clearer vision of the platform I aspired to build.
That depends on the model's training set. If the training set involves images of a lot of valid music, then probably it could generate "valid" sounding music.

Otherwise, it may be generating garbage. Can you post the image somewhere? I'd love to take a look.
>ARM 64 gets this right, with fixed length 32 bit instructions.

At the expense of code density, yet RISC-V is easy to decode, with implementations going up to 12-way decode (Veyron V2) despite variable length.

ARM64 hardly "gets it right".
> riding for 100 miles to grandma's house in a snowstorm.

Maybe some of us simply reject the notion that we should be obligated to travel 100 miles at a moments notice?
Bare Metal Emulation on the Raspberry Pi – Commodore 64
You're right, I forgot that diamond is very easy to grow on silicon during the CPU manufacturing process.
EPR disproves it because it costs same or more per GW than smaller (eg AP1000) plants, comparing actual finished plants.
But if you can install matlab or torch you'd do that instead right? Which gets back to the whole restrictive IT thing where you don't have those tools. In fact the only full featured languages on the machine are javascript in the browser and vba. VBA is about 11 times faster than numpy for dense matrix math as it is compiled, and all the support math libraries like nonlinear solvers and whatnot are in dlls that were native coded, but with a lower ffi penalty than python. VBA is really a very underrated mathematical language that is mostly used for horrifically architected mission critical CRUD applications.
So many software had been through the same fate. Premature launch, senseless patching to keep it going and then finally crash...
yes, why wouldn't I?
Like the HODL meme