ascense

One issue I've heard is if a restaurant chooses not to use the service someone else can set up a page in their name without permission, and the platforms often won't do anything to prevent it. Then confused delivery drivers start to show up, and customers complain to the restaurant about the markups/high pricing even when the restaurant is not actually involved at all.

On top of all that, many people just use delivery apps to find local restaurants, so you lose a lot of visibility if you aren't listed, but for that one you can argue it's in fact paying for the service you get (i.e. marketing).

I strongly believe that our brains are fundamentally just prediction machines. We strive for a specific level of controlled novelty, but for the most part 'understanding' (i.e. being able to predict) the world around us is the goal. We get boredom to push us beyond getting too comfortable and simply sitting in the already familiar, and one of the biggest pleasures in life is the 'aha' moment when understanding finally clicks in place and we feel we can predict something novel.

I feel this is also why LLMs (ChatGPT etc.) can be so effective working with language, and why they occasionally seem to behave so humanlike -- The fundamental mechanism is essentially the same as our brains, if massively more limited. Animal brains continuously adapt to predict sensory input (and to an extent their own output), while LLMs learn to predict a sequence of text tokens during a restricted training period.

It also seems to me the strongest example of this kind of prediction in animals is the noticing (and wariness) when something feels 'off' about the environment around us. We can easily sense specific kinds of small changes to our surroundings that signify potential danger, even in seemingly unpredictable natural environments. From an evolutionary perspective this also seems like the most immediately beneficial aspect of this kind of predictive capability. Interstingly, this kind of prediction seems to happen even on the level of individual neurons. As predictive capability improves, it also necessitates an increasingly deep ability to model the world around us, leading to deeper cognition.

Seems to me just specifying that it's a software recall would be a good balance.

I find it a bit suspect that the article claims this comes directly from the devs but provides no quotes or links to a statement, but hopefully it's true, and the article is just bad. Seems to be an annoying trend in journalism these days to not link to sources.

If nothing else though, Argo Tuulik's blog post for Summer Eternal is worth a read. I love his writing style, and that post is unreasonably funny to me, but you can still tell there is a lot of meaning behind what he says. I suppose things hit hardest when presented in ridiculous over the top metaphor.

It gets better, but learning vocabulary at that level is going to feel very slow no matter what. I would recommend keeping a fairly low bar for just ignoring words and moving on, as keeping up the reading habit is by far the most useful. If reading feels tedious it's easy to lose interest.

One to two new words per page sounds high enough where you are bound to get repetition, so you may want to only look up words that seem either important for context or familiar (i.e. feels like something you've seen before) to get the most value. I combine that with spaced repetition (Anki) for words that I seem to look up often, but Anki has a bit of a learning curve so it may or may not suite you.

This comes to mind: https://en.m.wikipedia.org/wiki/Bark_bread

This, and also working part time would become a lot more feasible. I would imagine there would be quite a bit of pressure to improve working conditions as well, which wouldn't exactly be a bad thing. A lot more hours would be spent on things people consider meaningful, and bullshit jobs would have to be compensated appropriately, which to me feels like a win for society collectively.

One caveat though is that for abolishing minimum wages to be safe the UBI has to be high enough to be actually livable, and would likely be a target of constant politicking. A model I've been thinking about would be to set the level of UBI as a percentage of GDP, distributed evenly across the population, which to me would feel fair but may have practical issues I don't see. It would create a sense of everyone benefiting from collective success, which appeals to me.

If you are interested in a rather detailed analysis of Starlink in Ukraine, I highly recommend listening to episode 53 of the 'Geopolitics Decanted' podcast.

A corporation running a nuclear reactor to train AIs might just be the most cyberpunk news headline I've ever seen.

The six so-called “gatekeepers” are: Alphabet, Amazon, Apple, ByteDance, Meta and Microsoft.

I run Pop_OS with a temperamental Nvidia GPU that is unstable at factory clock speeds, but solid when I reduce the power limit by 5-10%. The only recurring annoyance I have with pop is that the flatpak GreenWithEnvy breaks after every GPU driver update and requires a manual flatpak upgrade to fix.

Similarly for my work laptop also running pop on nvidia, the big frustration is again nvidia related. Battery life is poor since hybrid graphics doesn't work and external displays only work with the discrete graphics card.