> the US can “sanction” companies that engage in intellectual property theft.
Peak hypocrisy, US AI companies can train on unlimited intellectual property with 0 rights to it, while Chinese AI companies have to explicitly get the rights to data that isn’t even copyrightable/copyrighted (since AI alone can’t copyright it).
I think you’re suffering from a false dichotomy. The average car capacity is 1.1 people per car, and 90%+ of the time, a normal individual is not hauling more than a backpack.
Just imagine how much less traffic would be on the road if the people who could just biked. They get 1 protected lane (out of 6), and you get 50% less traffic? Hell yeah, that’s be awesome, right?
In terms of economics, consider how terrible car parking can be. A bike rack can park 20+ people in the space of 1 car parking spot (1-4 people). Do you really think a business would be better off with 1/10th the number of customers who can actually enter their building at once?
Bikes and rail should exist as options, not requirements. And when done well, like in Amsterdam, people will like using them. And driving will be even better, because of so much less traffic.
I think it’s akin to a child growing up with technology, and therefore being able to operate with it at an intuitive level.
These interns have never not used AI (in the industry), so they haven’t had the “handicap” of traditional development experience that slows down their AI usage.
A senior will see a problem they’ve done a thousand times and do it again the same way, a junior with AI will try to make it fit into any new hole they find.
Kagi arguably “pauses” your subscription if you don’t use it in a month. They give you a credit at the end of the month that then applies to the next month, so that people aren’t charged if they aren’t using it.
Weather data in prediction markets can definitely be gamed. One example that exists in real prediction markets is that the contract specifies a single source as the source of truth. But that source rounds data during unit conversion twice (F -> C -> F), meaning there’s an unequal probability distribution, and some numbers have a 0% chance of winning.
If you pay attention, your source has an asterisk of “typically” and “usually”, aswell as a distinction between phenotype and karyotype traits. While it is true that the majority of people with a Y chromosome are male, there are many people with Y chromosomes you’d call female because of their phenotype (which is what society primarily cares about), among other cicumstances.
What are the chances that, just like moltbook, the rankings are botted, meaning that not many people actually downloaded the skill.
People are more likely to download more popular items, so I don’t doubt that people are affected, but given how botted moltbook was, I wouldn’t be surprised for download numbers to be botted aswell.
I’d be interested to see a satirical concept like this that goes more in depth by, say, having the operational semantics help fuel the satire. When I see things like this, I always feel underwhelmed when it’s just a keyword swap.
For example, take the title. Imagine if the PL was a declarative way of describing a distributed system, with HTTP endpoints or web sockets connecting modules. Then, for harvesting, it gives unbounded ability for nodes to read and write to other nodes outside of the standard interface. You can just go in and read/write their data, without any public interface needed. Of course someone else can probably come up with something better, but I think it’d be cool to see something that more fully uses what a “programming language” means.
I personally don’t like it intertwined with conversation, but I do think I like how it adds color to help emphasize certain information, outside of the text. A red X or a green checkmark is easier to see at the start than a sentence saying something is valid halfway through a paragraph.
Also, it using emojis helps as a signal that certain content is LLM generated, which is beneficial in its own right.
Yes, I have plenty of games from, e.g. the Epic Game Store on my steam deck, even in the steam home page, seamlessly.
Gamescope is even fully open-source, so you could remove the steam deck UI, and still run any game with the same performance benefits of not running it inside KDE. Of course also, you could flash a new OS on the device itself if you wanted to entirely remove Valve’s presence.
It’s interesting this is coming at the time when it’s also announced the licensing agreement between YouTube TV and Disney has ended. Perhaps they are bracing for an impact to revenue from there? Though I’m unsure how much YouTube TV contributes to the company, revenue-wise.
> In all popular languages that support "sum types" we just call them "unions."
When I was doing research on type theory in PL, there was an important distinction made between sum types and unions, so it’s important not to conflate them.
Union types have the property that Union(A, A) = A, but the same doesn’t hold for sum types. Sum types differentiate between each member, even if they encapsulate the same type inside of it.
A more appropriate comparison is tagged unions.
The word "clanker" is interesting to me in how it anthropomorphizes AI to the point that when I hear it, it makes me confuse it with a person. For a word that is supposed to be mocking of AI, the fact that it actually humanizes AI is very disturbing.
To clarify, the reason I say that the projects led me to offers was only because they helped lead to the process being started (I.e. led to a first interview). Indeed, other skills are necessary to close the deal.
The way I see the current market, the hard part isn’t the interview-to-offer ratio, it’s the application-to-interview ratio. Grinding leetcode and improving your skills unfortunately doesn’t help you with that. Having a good resume helps (or having good networking).
Referencing back then to what I said originally, everyone has a degree, no one has work experience. Given this, having a cool project is one of the ways to specifically increase this application-to-interview ratio.
However, given this analysis, putting more effort into networking could yield similar results, so this suggests the original point possibly has some truth.
As a new grad in this job market who got 2 offers (1 FAANG), I heavily disagree. My projects (specifically my toy operating system) got me my offers.
Projects are just about the only thing you can add to your resume to show competence. Everyone has a degree, and no one has work experience.
Not only did my projects show that I have completed semi-relevant work in something considered relatively complex, which presumably got me past resume screenings (confirmed by my hiring manager), my projects also gave a prime talking point in interviews that let me showcase my domain knowledge and way that I work. (Consider cliche interview questions like “what is the biggest challenge you’ve faced”, and how they relate to your projects)
This is especially beneficial if you’re being interviewed by other engineers, and you can geek out over a project. Being human and enjoyable, while demonstrating technical competence, is a great interview winner.
Ofc I have limited experience, but small samples can add up if other evidence corroborates with it.
It is relevant because it wastes time and adds nothing of substance. An AI can only output as much information as was inputted into it. Using it to write a text then just makes it unnecessarily more verbose.
The last few sections could have been cut entirely and nothing would have been lost.
Edit: In the process of writing this comment, the author removed 2 sections (and added an LLM acknowledgement), of which I referred to in my previous statement. To the author, thank you for reducing the verbosity with that.
Maybe it’s just me, but I don’t really see the advantage myself for touch typing. My current style of typing already reaches me 110+wpm, and it feels natural without any wrist problems, and I also can type fine without looking at the keyboard. (Perhaps the lack of wrist problems part is because of young age, but I’ve been typing for over 10 years)
When I tried out Dvorak, I learned touch typing for Dvorak, but after a while, it started hurting from having my hands in the touch typing position, so I decided it wasn’t really worth it to continue, since the point would’ve been to reduce injury.
The way that I type is a combination of knowing where keys are, having a muscle memory of common words, and knowing how to effectively flow between them.
It seems to me though that many of the advantages of touch typing, I already have gotten without it, so it doesn’t seem to be worth it?
Peak hypocrisy, US AI companies can train on unlimited intellectual property with 0 rights to it, while Chinese AI companies have to explicitly get the rights to data that isn’t even copyrightable/copyrighted (since AI alone can’t copyright it).