I get the impression that these font are primarely designed to be used for large font sizes and are less suitable for normal texts with normal sized fonts.
Yes, I personally think so. In the hands of an experienced user you can crank out work that would take days or weeks even, and get to the meat of the problem you care about much quicker. Just churning out bespoke boilerplate code is a massive time saver, as is using LLMs to narrow in on docs, features etc. Even high level mathematicians are beginning to incorporate LLM use (early days though).
I cant think of an example where an LLM will get in the way of 90% of the stuff people do. The 10% will always be bespoke and need a human to drive forward as they are the ones that create demand for the code / work etc.
If I install Ubuntu 25.10, I can't get camera effects (blurred background and so on) to work in Meet because hardware compositing (or something, I'm not entirely clear on the details[0][1]) doesn't work properly on the open Nvidia driver on Wayland. Wait I thought this was all supposed to be the future?
> Normally, this kind of project would require approximately three months for a skilled human engineer (approximately 430 hours of work).
Creative marketing speak. Its most likely true in a corporate environment with a teams trying to coordinate their little fiefdoms, but not the case for a single engineer. Overestimated by ~one order of magnitude.
>With just one week of AI-powered processing, augmented by 38.5 hours of human expert assistance, the Project Speedrun computer was completed.
"Total time to layout ~38 hours." - _13 years ago_, nowadays most of the things one would struggle back then got automated. 40 hours for Zync to DDR3 interface, what is left are power supplies and low speed stuff. Overview of the project https://www.youtube.com/watch?v=jU2aHMbiAkU
It took Ben almost as long to cleanup after AI as it took Tesla500 to design SOM from the ground up when DDR3 was still quite new and state of the art.
>Engineers preferred larger polygons for power distribution than Quilter originally produced. Enlarging these pours required opening space, shifting traces, and re-routing small regions to accommodate the changes.
No kidding, their tool generated nice fat power traces up to the first tight spot, and then gave up and bam 2mil tracks (VDDA_1V8 VDD_1V8) :D almost un-manufacturable at jlcpcb/pcbway (they have asterisks at 2mil) and very bad for power distribution (brownouts).
>The goal was to match human comfort levels for power-distribution robustness.
nah, in this particular case the goal was making it manufacturable and able to function at all. Human replaced those hilarious 2 mil traces with proper 15 mil ones. And you cant just click on a track and brrrrt it from 2 to 15mil as they themselves admit:
>Enlarging polygons often required freeing routing channels, which triggered additional micro-moves and refinements
Human EE had to go in, rip out more than half (the actually time consuming half) of the generated garbage and lay it out manually. Those "micro-moves" involved completely re-arranging layer stack moving whole swaths of signals to different layers, shuffling vias etc.
>Once via delays were included, several tuned routes no longer met their targets. The team re-balanced these nets manually.
"re-balanced" being colloquialism for ripped all the actually difficult to route parts and re-did manually.
AI didnt even try to length match flash. Just autorouted like you would 8MHz Arduino board.
ENET_TD2 - what the hell happened there? :D Signal is doing a loop/knot over itself while crossing 3 layers, Ben was probably too tired of AI shenanigans at this point and didnt catch it instead elongating ENET_TD1 to length match this lemon.
Comparing SOM AI output vs human "expert assistance" there is very little left from the AI. Almost every important track was touched/re-done from scratch by human hand.
This is my impression after a quick glance. I didnt try looking for problems very hard, didnt look into component placement (caps, would required reading datasheets) or ran any FEM tools.
My right to place cameras on my private property absolutely trumps your desire to not be seen or recorded (or whatever your specific grievance is) in the United States.
This isn't about "hard rules" - make laws prohibiting government use of privately-obtained data if you like - but vandalizing or prohibiting a privately-owned Ring camera is absolutely a matter of my rights being abridged.
Tested it for a while. Great that I can finally run my SDD workflows easily without juggling bunch of Claude Code commands in terminal.
Also, I found unexpected use case for it. Even when I need to only change couple lines of code, I just run quick fix workflow for it, because Zenflow automatically creates worktree, branch, commit etc. And PR is created with few clicks. It'll seems like a minor thing, but it irritates me a lot to do all this stuff myself for small changes. One thing I miss here is automatic PR name and description creation according to templates my company uses.
There was a system with dependent types that ruled out invalid html at compile time, even dynamically generated html (rather than a runtime error, you would get a compile error if your code did something wrong)
Needless to say it wasn't very practical. But there was one commercial site written in it https://github.com/bazqux/bazqux-urweb (the site still exists but not sure if it's still written in ur/web)
Counterpoint: No it won’t. People are using LLMs because they don’t want to think deeply about the code they’re writing, why in hell would they instead start thinking deeply about the code being written to verify the code the LLM is writing?
Sure, the House is almost evenly split, so a few seats here or there would have an impact. But the net result would probably be further mitigated by gerrymandering, other population shifts, and so on.
One other thing I appreciated from this article is how it touches on comments about simply following the law. Just because something is legal, does not make it morally questionable (at best). From the article:
> The apportionment of seats in Congress is required by the U.S. Constitution, which says that the census will be used to divide the House of Representatives “among the several States according to their respective numbers, counting the whole number of persons in each State,” except for enslaved people, who, until the late 1800s, were counted as three-fifths of a person, and certain American Indians.
I have a colleague whom refers to the emails he sends as 'letters'. It was strange at first, but it also implies some effort being taken. I read the 'essays' terminology the same way. If it isn't some textual version of habitual food/travel/life logging, and has some cohesive topic, it's an essay.
I also host my own email. In my case, Google always routes the first email I send to a new Gmail address as spam. After the recipient marks the email as good, future emails are received as expected. The only way around this is to advise the recipient via Gmail that I've set an email to them via a different route, so that they can check their spam and mark the email as good. This has been going on for at least two years.
Basically, Google are shadow-banning me till they get caught. I think this should be illegal.
Seriously, though, I think it is because it has a good natural environment and strong extended families. But that is about to change with their new planned city.
Apriel-H1-15b-Thinker-SFT uses incremental distillation from Apriel-Nemotron-15B-Thinker, selectively replacing less critical attention layers with linear Mamba blocks to reduce computational complexity while preserving reasoning quality.
Keeping track of "-ize" versus "-ise" is a PITA, mainly because (a) American English uses both, altho not interchangeably, and (b) on teh interwebz there's always an inconsistent grab bag of dialectical usage. For those reasons I for one have settled on "-ise". My 0,02€, ymmv
Is that really the case for the EU? The EU doesn’t seem to foster an environment for competitive companies that can operate at the necessary scale the above listed can.
Al Jazeera has been super loud and vocal about how US aggressions towards Venezuela is all about oil. It makes sense since Venezuela’s future oil exports in case the current regime falls will hugely impact the price of oil which funds Qatar which funds Al Jazeera.
