skysight-inc/HackerNews huggingface dataset:
The issue is that the author presents the entire set of typefaces that are similar to Gorton as derived from Gorton without presenting evidence to rule out the obvious alternative lineage: that, just like genuine Gorton, they too were derived from the various regional single-stroke letterforms that draftsman everywhere were taught and used. Excellent draftsman’s examples abounded and would have been so much more common than genuine Gorton and its genuine ancestors that it’s hard to believe that regional companies marketing their own type engraving machines would have had to copy Gorton rather than local examples of the draftsman’s art that were considered superior.
For GPS:

https://www.npr.org/2011/07/26/137646147/the-gps-a-fatally-m...
Congress will only shut down these services if they don't perform. Musk is making sure they don't perform.
Any chance the link can be changed to the original paper (https://www.microsoft.com/en-us/research/uploads/prod/2025/0...) and the title changed to "The Impact of Generative AI on Critical Thinking"?
That all makes sense for physical products, it's just less clear what the local bookstore is actually adding to the process for a digital e-book transaction.
You have not only created an open source Analogue Pocket, which is amazing, but you’ve also perfectly voiced the problems I have with the MiSTer project: that as cool as FPGA technology is, the MiSTer completely misses its sole advantages (which is better support for official hardware) due to a mix of limited I/O on dev boards (which is a fair point) and the community’s irrational hatred of cartridges as “unnecessary”. There is literally zero reason for the MiSTer to exist by their own logic, because why do you need a dedicated platform? That’s so unnecessary, just use a computer. Just as if not more accurate in most cases too.

Regardless, this article alone is like my holy grail of emulation and project design. And there’s more of them? I can’t wait.
Maintainers are gatekeepers. If parties on either side of the gate aren't accomplishing what they want/need, they naturally look at the gatekeeper. If both sides of the gate agree that the gatekeeper has become problematic, discussions popup to remedy the situation.

So far, I haven't seen discussions from both sides of the wall. But I hear a lot of noise from one side of the wall trying to get the attention of people on the other side of the wall. Now we will see if the people inside the wall think there is an issue with the gate.
They're getting rid of things that stand in Elon's way. CFPB was actively investigating complaints about Tesla and financing, for instance. It was also reportedly seen as a roadblock to turning Twitter into a payments platform.
Their version of Liar's Poker.
Rust is a subset of C++ with extra static checks.

All the core decisions are the same as in C++:

- RAII

- Lock-based concurrency

- In-place mutation

People get confused when they hear that Rust is 'related to ML' and has Refs, but Rust Refs have nothing to do with ML Refs: ML Refs are mutable pointers to immutable data, Rust Refs are pointers to data mutated in-place.

Reference counting is not 'Rust memory management' it's a well-known technique with well-known problems, and Rust doesn't bring anything new to the table here.

Edit: RIAA -> RAII
Can you elaborate ? How do you figure it out at runtime ?
Interesting, in my experience LLMs hallucinate so much on stuffs I know about that I instinctively challenge most of their assumptions and outputs, and found out that this kind of dialectic exchange bring the most out of the "relationship" so to speak, co creating something greater than the isolation of us two.

Relevant 2018 essay by Nicky Case «How To Become A Centaur»: https://jods.mitpress.mit.edu/pub/issue3-case/release/6
A tennis player picking up pickleball. What's next a hockey player that plays golf in the summer.
Wondering why DOGE articles where we apparently are leaking classified info over the internet are being flagged.

This for example: https://news.ycombinator.com/item?id=43051135

(EDIT: Looks like others are wondering too: https://news.ycombinator.com/item?id=43050833)
Grief is complex and deeply personal, and is not about fitting someone else's expectations... Losing a dog hits different because their presence is so genuine and uncomplicated. They provide unconditional comfort. That connection is usually way less complicated than the ones with have with people.
Constantly passive aggressively say "as per my document" in the meeting. I see the upside of companies that have memo culture.
I'd be extremely surprised if AI labs are not doing or planning on doing this already.

The same way that reasoning models are trained on chain of thoughts, why not do it with program state?

Just have a "separate" scratchpad where the AI keeps the expected state of the program. You can verify if that is correct or not. Just use RL to train the AI to always have that correct.
>Good luck writing highly interactive apps backend-only! (Like Figma or Google Docs). Even with frameworks like Phoenix and runtimes like WebAssembly, you still need a lot of Javascript to get there.

That's exactly the point. 99% of websites don't need to be "highly interactive apps" like Figma or Google Docs. The modern JS pipeline and ecosystem exists for those applications, as it was developed by Facebook, Google and the like, but it's far more complex than most people actually need. The baseline for web development shouldn't be "install NPM and node and n frameworks, learn test suits a,b,c and this completely different language."

>jQuery solves maybe 10% of the problems I listed, and does that imperatively, so you get in the exact same issues, but with a marginally better interface to the DOM. Which is not even true nowadays, as the js DOM interface got a lot better.

I was specifically making a comparison between using JQuery and script tags versus NPM dependencies, but JQuery still solves far more than 10% of the problems most people actually have. Because again, most websites aren't startups trying to optimize to compete against FAANG.

>Wait, do you normally write Java with no frameworks? Handle request / responses / queues / threads from scratch?

I think you're being purposely obtuse here.

People write Java frameworks in Java. It's still programming in Java. You're still expected to understand the Java language to use Java frameworks.

Javascript is primarily compiled from other languages which use their own idioms, often imitating far more strictly typed languages. JS devs are primarily people who hate javascript and wish they were using another language, and much of the unnecessary complexity of the modern JS ecosystem exists to capture the labor market by catering to that desire.

Which is why "vanilla js" is a phenomenon unique to Javascript. Other ecosystems don't have the same culture of alienation and aversion to actually using their language.
Undiscoverable, and not configurable.
A warning on this topic, in short story form:
http://web.archive.org/web/20121008025245/http://squid314.li...

(By Scott Alexander)
Yeah and these guys are actually friends with Jeffery Sachs, who was the economist pushing for shock therapy in Russia in the 90s.

I strongly feel like these guys see what happened in Russia and see it as a success: the "weak" soviet union was replaced by a "strong" Putin-controlled Russia. The collapse in living standards, lawlessness, etc, was acceptable collateral damage.
Plain redactions require the same amount of trust in the redacter but are less likely to leak information.
I used to be friends with a group of developers at Twitter after their rewrite. They had no complaints about “brittleness” or stability generally.

We do know Elon isn’t anywhere near as smart as he likes to project in areas of modern computing, so I tend to not believe his claims.

This was the man who publicly called a senior developer at Twitter an idiot for saying something about the government using SQL.
That's too broad though, because there been specific issues we've (humanity) managed to come together to fix, like the "ozone hole" stuff being "solved" with regulations, protocols and public policy, while there are other issues we haven't quite been able to do the same with, all under the umbrella of "climate change".
Person 1 enters the room, makes a bunch of decks and puts them in boxes. Leaves the room.

Person 2 enters the room, shuffles the boxes, leaves the room.

Person 1 re-enters the room and picks a box.
You don't need AI if that's all you're using it for. In fact, IDEs have been doing a fine job at that for years.

It feels right now, that much of the time, AI is a solution looking for a problem to solve.

I find it more useful to treat AI like an easier to search stack overflow. You can ask it to go find you an answer, and then elaborate when it's not the right one.
If a study comes out, no. But I do not think the trajectory of LLMs is as determined as you may think
Technical features:

- Asynchronous services

- Two options for clients (Java's HttpClient or OkHttp)

- Exception handling

- Available to run in Android

- Support for OpenAI-compatible APIs: Gemini, DeepSeek, Mistral, Azure
developers often want those things, but they are certainly not required.

i certainly don’t use a react data fetching library, i just use fetch. i don’t use special react state management, just use redux. i did build a router that works primarily with React in order to support JSX in the components, but it wouldn't be any harder to adapt it to another framework or setup.

the problem is exactly the same as those memes making fun of people asking on stack overflow "how do i add two numbers with jQuery?" eg 'how do we add two numbers with React'

the problem is there are always new developers making silly mistakes, and making that an indictment of some technology is a fallacy.
That's right, unsafety extends to the whole module, and anything else that relies on the module's internal implementation. Generally all the way up to the abstraction's public API, whatever that abstraction is (a Vec, a Mutex, etc).

But it's nevertheless still not different from other languages that are deemed memory safe.
I used to go there for product recommendations but now every sub is astroturfed with affiliate links so I have no use for it anymore either.
The Graph is exactly like I said, Intel falling behind in 10nm ( 2017 - 2020 ) and discounting IPC improvement made in ARM.

But we may finally be hitting a plateau unless Apple can demonstrate improvement in M5 and M6. They have pretty much squeezed out everything with the 8-Wide Design. Not sure if they could go any wider without some significant trade off.
Pleroma and GoToSocial are indeed better if you are looking for something more efficient.

But I am still not happy with the idea that we should be deleting data from the server just to keep it manageable. It reminds of the before Gmail where people would get 5MB quota of Yahoo Mail and would have to go around deleting stuff from their mailboxes every other month.
no this was years ago
Time of the day, day of the week. Other topics that are popular at the time. There’s a lot of factors and it’s not always the quality of the submission. That’s why the second chance pool exists.
Can't you use their app or books on your e-ink reader?
Read the book The Mythical Man Month, then work at a big company, and then you'll appreciate the challenges of organizing five different teams to accomplish a large and complex task.
Does that mean that being a manager also kills critical thinking?
I don't think you got this split right.

I prefer to either manage software directly with no wrappers on top, or use a fully automated solution.

K8S is something I'd rather avoid. Do you enjoy writing configuration for your automation layer?
My understanding with present-day LLMs is that you can ask it something and get an answer, but you have to treat it with the same degree of confidence as hearsay. You may then ask it to cite its sources, at which point you get reliable references, or it will apologize for getting things wrong.
That's nonsense, it sounds like you're only familiar with the concept of public domain in the context of copyright expiration.
there is no crusade or moral framework.

If you go to the doge website right now, there's a Libs of TikTok tweet shown on the main page. It reads:

The US government only recognizes two sexes: Male and Female. This needs to be changed immediately

There is absolutely a crusade going on, but I certainly wouldn't call it moral.
offhand observation: I prefer both playing and, if i'm gonna, watching "bad" pickel ball. once the game gets optimized it turns into lots of dinks in the kitchen until someone makes a mistake, rather than longer, more interesting shots.

pickle ball is one of the sports in the United States where chesterton's quote still applies:

> "It is a good sign in a nation when such things are done badly. It shows that all the people are doing them. And it is a bad sign in a nation when such things are done very well, for it shows that only a few experts and eccentrics are doing them, and that the nation is merely looking on. "

i hope that doesn't change.
The glibc 2.41 update has been causing problems for Linux gaming
Why not keep both?
You might be under the impression that I'm trying to argue myself (you mention "dismissing an argument") and employ an ad hominem as a rhetorical tool. Not so!

I'm well aware that discussion or debate isn't an effective way of having a person question their ideology.

Ironically, by ascribing this dark pattern to me you could also be seen as employing an ad hominem, because it casts me as a dishonest, disrespectful person.

Alas, I am a human full of contradictions and vices. If it helps you maintain your mental composure, do feel comforted by my perceived malice :)
Andrew Jackson: Domestic Affairs
His most appalling appointee was an old army comrade and political sycophant named Samuel Swartwout. Against all advice, Jackson made him collector of the New York City customhouse, where the government collected nearly half its annual revenue. In 1838, Swartwout absconded with more than $1 million, a staggering sum for that day.

Historians are hilarious.
> just imported from Japan

Lik-Sang? Good ol' Lik-Sang, before Sony threw them into the ground. So much Japanese video game console eye candy for grabs.
That's a brilliant strategy to reach ASI, lowering the bar on humans.
FF7 did get an official PSN release playable on PSP. You could play FF1-9 on PSP by the end of it's life once the port of the DS version of FFIII arrived. There was also a PSN release of the PS1 version of Chrono Trigger, which is actually how I played through it (although perhaps on Vita).
> But now, Hunter says there’s “no reason on Earth to give a billionaire your $9.99 for your e-book,”

Except, many of the books I want to read are self-published by small authors, and are only available on Amazon, probably because of how easy it is to self-publish there.

I hope they can fix that, because it's my current biggest complaint about owning a Kobo reader.
Can you give specific links to incidents and reporting on them?
Now there's a news article, if true!
> Analysing 936 real-world GenAI tool use examples our participants shared, we find that knowledge workers engage in critical thinking primarily to ensure the quality of their work, e.g. by verifying outputs against
external sources.

The researchers appear to be saying that a lot of people perceive LLM outputs to be superior to whatever they could generate themselves, so users accept the LLM's logical premises uncritically and move on. Sort of a "drive by" use of chatbots. The researchers are not wrong, but intuitively I don't think this is a fair critique of most LLM tasks, or even most users.

One of the most compelling LLM use cases is individualized learning or tutoring, and LLM's can support a much deeper dive into arcane scientific or cutting-edge topics than traditional methods. I don't see anything here that suggests the researchers balanced these scenarios against one another.
This would be even better:

https://www.microsoft.com/en-us/research/publication/the-imp...
GPU is all about performance. Nearly all the time, very high level languages have nothing to do there.

The CPU part of high level user applications will probably be written in very high level languages/runtimes with, sometimes, some other parts being bare metal accelerated (GPU or CPU).

Devs wanting hardcore performance should write their stuff directly in GPU assembly (I think you can do that only with AMD) or at best with a SPIR-V assembler.

Not to mention doing complex stuff around the linux closed source nvidia driver is just asking for trouble. Namely, either you deploy hardware/software nvidia did validade, or just prepare to suffer... it means 'middle-men' deploying nvidia validaded solutions have near 0 added value.
I’d guess because they are anti-Elon Musk.
The study is basically just... a bunch of self-reports on how people feel about AI usage in their daily job. That's it. The "critical thinking" part is completely self-reported.

It's not "how good a person is at critical thinking." It's "how much a person feels they engages in critical thinking." Keyword: feels.

It's like all the nutrition studies where they ask people to self-report what they eat.
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So then carry a map or ask for directions when these situations arise? What does this have to do with the positive trade-offs when using GPS?
The Greeks found that relying on writing kills memory.
This is not accurate: https://nextjs.org/docs/app/building-your-application/deploy...
it’s both. money buys government which then makes you richer.
Like 500 light years away, as opposed to 500 a.u.
This is the false tool that bureaucrats use to justify there excesses. "this is just pennies...no one is going to notice it?

If you look at the budget, everything is "just pennies" yet somehow it's 2T deficit with 7T total expenditures. If you were to drill into the big programs (Medicare, Social Security, Defense, etc) there are thousands of programs nested within those.

Like it or not someone will need to do the hard work of going line-by-line and accumulating savings to make the budget make sense. There also needs to be a culture shift in gov't. It's not monopoly money---something obvious no?
I haven't used LLMs a lot and have just experimented with them in terms of coding.

But about a year ago, I had a job to clean up a bunch of, let's call them, reference architectures. I mostly didn't mess with the actual architecture part or went directly to the original authors.

But there wasn't a lot of context setting and background for a lot of them. None of it was rocket science; I could have written myself. But the LLM I used, Bard at the time, gave me a pretty good v 0.9 for some introductory paragraphs. Nothing revelatory but probably saved me an hour or two per architecture even including my time to fixup the results. Generally, nothing was absolutely wrong but some I felt was less relevant and other stuff I felt was missing.
kubectl logs deployment my-multinode-deployment
> Rust is a subset of C++ with extra static checks.

While this may work as a rough heuristic, it's not true in theory nor in practice. First example that comes to mind: Rust has proper sum types (Called enums), which are used everywhere, and C++ doesn't have anything like it.
It really has been a sight watching the loudest anti-AI people flog this around, then turn to rage when you clarify the range of the actual conclusion.

Generative AI got a lot more useful when I started seeing it abstractly. I put data in, it finds correlations in its neural network, and produces different data. I have to be intentional in interpreting that data to figure out what to do with it.

Once I started thinking in terms of "this word will kick up a hornet's nest in that branch of the network and make the output useless. Let's find another word that gets closer to what I'm aiming for," the outputs got so much better. And getting to the good outputs took fewer iterations.
When was JQuery winning against Mootools and Prototype etc.?

Roughly that many days.
Sydney.

My only issues with it are cost of real estate, and distance from the US where my people live.
I don’t believe this qualifies as an ad hominem. The person was not attacking the individual but rather making an observation about the dynamics of ideological thinking.
As an enthusiast, I’ve found mid-tier hardware from over a decade ago can run the majority of games on medium/high without much problem. And that the majority of people in my life only need a laptop that can consistently stream 1080p and run a modern browser, maybe with some extra bits like Microsoft Office (although most younger users use G Suite, presumably because schooling preferred it growing up).
I have this horrible feeling that in the future people are going to walk around with AR glasses and some AI is just doing to tell people what to do all the time. They will become meat robots to do the bidding of some hallucinating model which has been finetuned with an agenda.
Seems like a classic example of Goodheart’s Law.

> When a measure becomes a target, it ceases to be a good measure.

It is highly likely effort is being put specifically into meeting benchmarks which in turn means the models are good at meeting benchmarks but not necessarily at what the benchmarks are trying to measure.

Of course ideally they are well designed enough that trying to meet them causes the model to be good at/have the properties they are benchmarking but there’s no guarantee that’ll always be the case.
very correct and important advice (not being sarcastic)