Ads aren't just for click through, they are for suggestions, and mind share as well.
You can't click on the budweiser logo when watching super bowl ad. But if you sit in your chatgpt window all day then it's probably worth it for advertisers to expect to build familiarity with brands they advertise.
Really depends what the ads are. If they are popups or other intrusive ads the product will just die. If they are subtle hints in the text how are you going to track it. I don't know, I just don't believe in ads, but then again I am dirty commie so who am I to tell you not to
That’s not the point. The point is that brands build awareness through ads that don’t require clicking and this ha effected you whether you want to admit it or not
Your messages are very consistent, it all adds up and makes perfect sense.
I don't care either.
Online I get lots of ads blocked, but not all, I really don't put much effort into it beyond default.
So what if I am "influenced" if it doesn't effect any significant part of my behavior.
One thing I never do is respond with money.
I'm just not a "consumer" so that goes back before the internet.
Sure I see ads thrown at me which keep me aware of those brands but the only buys I make would happen without any ads.
On the rare occasion that I want to make a significant purchase, then I will seek out the ad. Oh the horror !
But I want to see how honest I think it is compared to a number of reviews. It's really pretty neutral since it's just as much me using the ad as the ad using me, plus equally good for knowing what looks good to buy as knowing what brand not to buy.
Then there's the interesting way when an overall economic downturn gets rougher you see ads for things that almost never need advertising for years in a row, or never have before :\
OTOH you also see some of the most trivial stuff that must be flying off the shelf and all you can do is shake your head ;)
Not working on it (yet), but I wish the jj <-> github story was a little more ergonomic.
Additionally, I am really missing support for stacked diffs, ie, easily pushing a number of commits into one PR on github each such that they all show their incremental diff.
ezyang's gh stack was pretty useful, if a little bit fragile [0]
and graphite.dev is also very nice, but paid software with a strong VC based motivation to become everyone's everything instead of a nice focused tool.
https://github.com/LucioFranco/jj-spr is one way to get stacked diffs on GitHub with jj, but also GitHub has at least claimed on X that native stacked diffs is coming so we'll see how that goes!
This is the entire reason the average consumer has lost trust in Software & developers.
I don't understand if it's fun for people(in the software development trade) to see everyone complaining about Software...
I as a software developer honestly feel ashamed in the quality of software we provide out there.
I think LLMs should instead be used to automate grunt work to make software better for edge cases, or where you can use it to get more time to improve software quality.
This like saying generic systems are bad because you and a hacker both can make sane assumptions about it, thus even if more performant/usable it's also more vulnerable hence shouldn't be used.
I don't understand this.
I have seen bad takes but this one takes the cake. Brilliant start to 2026...
I think you are proposing something that's orthogonal to the OP's point.
They mentioned the training data is much higher for an LLM, LLM's recall not being uniform was never in question.
No one expects compression to be without loss when you scale below knowledge entropy that exists in your training set.
I am not saying LLMs do simple compression but just pointing a mathematical certainity.
(And I think you don't need to be an expert in creating LLMs to understand them, albeit I think a lot of people here have experience with it aswell so I find the additional emphasis on it moot).
The way I understood OP’s point is that because LLMs have been trained on the entirety of humanity’s knowledge (exemplified by the internet), then surely they know as much as the entirety of humanity. A cursory use of an LLM shows this is obviously not true, but I am also raising the point that LLMs are only summoning a limited subset of that knowledge at a time when answering any given prompt, bringing them closer to a human polymath than an omniscient entity, and larger LLMs only seem to improve on the “depth” of that polymath knowledge rather than the breadth of it.
Again just my impression from exposure to many LLMs at various states of training (my last sentence was not an appeal to expertise)
Sample size of 1, but the most popular article on my blog is about to practically build a modular monolith. It was inspired by a Google paper published 2 years ago: Towards Modern Development of Cloud Applications[0] which touched on the shift from microservices to monoliths that can be deployed modularly.
That RFC and Polonius, which Rust folks have been working on for the last 5-6 years is proof that there has been much effort made in related directions.
Rust being sub par for so long just shows how much people won't want to fund these problems and how hard they are to solve during program compile.
I ofc like Zig quite a bit but I find Rust to suit my tastes better.
Zig feels too much like C with extra steps. And the lack of good tooling and stability around Zig hurts large scale adoption.
But I think in 10 years Zig will be the de facto better-ish C.
And Rust will be the low level language for any large project where safety is amongst the top 3 priorities.
The problems Rust are trying to solve are both novel and difficult so it isn't particularly surprising that it's taking time. The team has also landed great improvements, like NLL. I'm optimistic about the direction of this, even if it takes time.
Zig feels much younger than Rust so we'll see how it develops, but it's certainly interesting. In particular, comptime and explicit allocators are two ideas I hope Rust borrow more from Zig.
> And Rust will be the low level language for any large project where safety is amongst the top 3 priorities.
Personally I don't really see what'd be left for Zig, because in most software of consequence safety is already a top 3 priority.
You can't click on the budweiser logo when watching super bowl ad. But if you sit in your chatgpt window all day then it's probably worth it for advertisers to expect to build familiarity with brands they advertise.
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