I used to love swiping to type on mobile. Then I switched to iPhone. The issue there is if you have swipe enabled, it messes with the hit box of keys and you end up typing a lot of garbage if you type to fast when not swiping.
Beautiful. Another approach to visualizing the discovery of elements would be a "time travel" feature, where you see a timeline with just years below the table and can click on a year to see how the table looked that year.
When I was a kid my dad always told me to dream something beautiful when tucking me in. I didn't get this then, I can't control what I dream about. But it's more general life advice: spend your time so that you have beautiful dreams. When I travel I often sleep better in a hostel bunk bed then I sleep at home, because I was out all day, had real experiences, have something to dream about.
- Windows like Snap Assist where you tile one browser tab to one half of the screen and then it shows a preview of all other tabs and you pick one to tile to the other half of the screen.
> Biesma has asked himself why he was vulnerable to what came next. He was nearing 50. His adult daughter had left home, his wife went out to work and, in his field, the shift since Covid to working from home had left him feeling “a little isolated”. He smoked a bit of cannabis some evenings to “chill”, but had done so for years with no ill effects. He had never experienced a mental illness. Yet within months of downloading ChatGPT, Biesma had sunk €100,000 (about £83,000) into a business startup based on a delusion, been hospitalised three times and tried to kill himself.
This is almost too on-the-nose. I was already thinking about how we've become chill about drugs only to have moral panics about AI and social media, but I didn't expect to see a story about a drug user having a psychosis and blaming it on ChatGPT. And no, the fact that he was using cannabis for years "with no ill effects" doesn't mean that it didn't make him vulnerable.
> A logistic regression model gave an OR of 3.90 (95% CI 2.84 to 5.34) for the risk of schizophrenia and other psychosis-related outcomes among the heaviest cannabis users compared to the nonusers. Current evidence shows that high levels of cannabis use increase the risk of psychotic outcomes and confirms a dose-response relationship between the level of use and the risk for psychosis.[1]
Emphasis mine. I'm sure in many of the cases this study is based on, people had been using cannabis for years, while some other factor, a person, a hobby, an interest, an app, a website had only been part of their life for months. That doesn't mean the other factor was the real problem.
I am yet to meet a cannabis user that experienced psychosis. Very much all cannabis studies, especially published on .gov are biased and deeply flawed. Typically starting with a conclusion and then working backwards fitting the data without care whether it makes sense, as long as there is catchy headline confirming "Cannabis bad."
I'd say most first businesses fail the first time, the second time, the third time. Blaming personal failure on chat bot or drugs is very convenient and a way to "save face".
I’m no cannabis fan myself, but the above study you posted is heaviest use and includes schizophrenia, which a man in his 40s is not going to spontaneously develop (even with heavy use).
But of course using cannabis that promotes delusions with something that actively facilitates delusions is a bad combo
> But this isn't obvious, necessarily. In the Genealogy of Morals, for example, Friedrich Nietzsche condemns the "slave morality" that underpins values like humility—this way of thinking undermines individuals' recognition of their power, their sense of independence, he says. Human civilizations—and individuals—don't necessarily have to organize themselves around gratitude and interdependence.
Maybe this equation of gratitude with humility is why people have an issue with gratitude, even if they've never heard of Nietzsche and would balk at the Slave/Master morality distinction and why it's so much easier to express gratitude to the dead.
Not really if you look at the prior context. It’s ruling after ruling in the favor of powerful interests (aka rights holders) when it comes to copyright enforcement. A simple correct ruling feels like a miracle.
> Okay, so let’s consider a different chart. We start by gathering the 15,000 most downloaded Python packages on PyPI in December 2025.2 Then we split the packages into cohorts based on their birth-year, and for each cohort we plot their median release frequency over time.3 This seems like a reasonable proxy measure of the production of real, actively-used software.
No. Many projects explicitly release on a fixed schedule. Even if you don't, you're going to get into a rhythm.
There's a deeper problem with using PyPi to measure the success of vibecoding: Libraries are more difficult to program then apps. Maybe vibecoding is a good way to create apps that solve some specific problem, but not to create generally useful libraries.
I'd love to support more countries, but from what I can tell it's a mammoth task. Every country publishes rail data in different ways - there are aggregator APIs to join them up, but they don't come cheap.
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