I think you meant a quote attributed to Bill Gates:
"Well, Steve, I think there's more than one way of looking at it. I think it's more like we both had this rich neighbor named Xerox and I broke into his house to steal the TV set and found out that you had already stolen it."
That's good information. I couldn't possibly even start to run even DeepSeek Flash on my system, but also if you're assuming multiple GPUs, that is going to affect the napkin math.
> We'll assume a 32B dense model, as they've have gotten quite good for production use and a B200 can comfortably serve them. This could be a Gemma, Qwen, DeepSeek, whatever.
That seems like a very consequential point to include halfway through the post. They aren't wrong that Qwen 3.6 26B or Gemma 4 31B are quite good, depending on the use case, but if we're doing napkin math, I'd want some more headroom in the assumptions.
They really ought to have Qwen parameterize their post's calculations and add sliders so a reader could play around with the values.
Edit: And since they especially mentioned DeekSeek (or whatever), as far as I know, none of their current generation of models is a dense model, and even the smallest of the mixture of experts (MoE) models is 284B parameters (13B activated). That will completely incinerate their napkin.
I assume this is primarily intended to block using older Kindles to bypass DRM?
I have some experience doing this with this on an older keyboard Kindle and Calibre, and haven't really kept up with the current state of jailbreaking on newer models, but at the time, it wasn't possible. Although a quick search says that you can still deDRM books using the desktop app[0].
Interesting. It seems like a ToS violation would have been worthy of a warning and revoking the offending earnings, but nope, it was no mercy or review.
Several years ago, I ran a niche hobbyist website and incorporated Adsense (because why not?!?). The site featured a fuzzy search function since it referenced tens of thousands of named parts. The search result page would echo the (sanitized) search term followed by the matching results - along with recent search terms in the right sidebar.
One day, some spambot hit the site and started searching for terms like "mesothelioma". Adsense would see that page with "mesothelioma" in the sidebar, query for it, and served up the ambulance chaser's paid ads, even though there obviously were no matching results.
I didn't realize this was happening for several weeks since this low volume site was earning very little and I never even hit the minimum withdrawal limit. Suddenly I was earning $50 - $100 - per day. This lasted for a few weeks but before I could transfer the earnings, Google locked the AdSense account due to abuse. It might surprise you, but Google support was not helpful and after a series of reviews, they permanently shut down Adsense for this site.
Therefore, I also turned off Google Adsense for my websites.
As much as I respect the site and gladly financially support it, this is ultimately a failure on Ars Technica and its editors. If there are any.
If this were just some random blogger, then yes the blame is totally theirs. But this was published under the Ars Technica masthead and there should have been someone or something double checking the veracity of the contents.
That said, there are a number of Ars Technica contributors that are among the best in their fields: Eric Burger, Dan Goodin, Beth Mole, Stephen Clark, and Andrew Cunningham amongst many, so one f'up shouldn't really impugn the entire organization.
Massive radiators. In this photo[0], all of the light gray panels are thermal radiators. Note how they are nearly as large as the solar panels, which gives you an idea about the scale needed to radiate away 3-12 people's worth of heat (~1200 watts) + the heat generated by equipment.
It is still good, even if not the new hotness. But I understand your point.
It isn't as though GLM-4.7 Flash is significantly better, and honestly, I have had poor experiences with it (and yes, always the latest llama.cpp and the updated GGUFs).
Nemotron-3-Nano-30B-A3B[0][1] is a very impressive local model. It is good with tool calling and works great with llama.cpp/Visual Studio Code/Roo Code for local development.
It doesn't get a ton of attention on /r/LocalLLaMA but it is worth trying out, even if you have a relatively modest machine.
I only have one day's worth of light usage on a Pixel 9 Pro, but it feels at least as responsive as Nova Launcher.
Zero lag in switching screens, opening the app drawer, or scrolling through apps - there is a control for the animation speed, but it doesn't seem to really have any impact, positive or negative.
I had never experienced meteoblue so I installed it, it looked very nice, but when I added the 4x1 widget, it looked horrible. I resized it and got "Subscription required. Tap on the widget to open the in-app store"!
If you're in the US, I like NOAA Weather Unofficial[0]. It is not quite as visually impressive as meteoblue, but has good technical details and the 4x2 widget resized exactly like I wanted. I think the free version is unrestricted, but it is another app where I explicitly wanted to support the developer.
Widget sizing/appearance was probably the only surprise that I discovered between Nova and Octo. Resizing in Octo takes a bit of getting used to, but I was able to reproduce the appearance of all of my widgets.
Padding is a little different and harder to discover than Nova - it is in the "Customize appearance" menu when you long tap on a widget. That is something to check out, as well as making sure Rounded Corners aren't enabled.
There is also a "Freely position and resize items" option in the Launcher Settings->Home tab, which I do not have enabled, but might be necessary to get your widget sizing just right?
There have been enshitification clouds looming on the horizon for Nova Launcher for so long, I think many people (including me) were hoping it would just never happen.
That said, check out Octopi Launcher. I installed it for the first time tonight[0] and it is exactly what you are looking for - a smoother, better Nova Launcher.
Thank you! I had looked at several recommended launchers and none were real Nova Launcher replacements. I randomly saw your comment and was intrigued, especially since I hadn't seen a lot of sources mentioning Octopi Launcher as a suitable option.
It is the perfect Nova Launcher replacement. The UI and features feels like a more polished Nova and transitioning to Octopi is such an intuitive process.
I was a 10+ year long Nova Launcher user and knew this day was coming after the sale and layoffs[0][1]...
This evening I at looked several replacement launchers, such as Lawnchair and even the stock Pixel launcher again, but Octopi Launcher[2] is the more modern, more refined Nova replacement that you are looking for.
It was a very easy, natural transition process from Nova - all of the Nova features that I used were there (unlike Lawnchair), such as swipe up/down on icons to perform different actions. And little things like folder options, icon placement, and widget handling are SO much nicer on Octopi compared to Nova. Staggeringly better.
I took a screenshot of each home screen page, set Octopi as the new default launcher, and was back to my previous configuration but with a significantly improved visual appearance, in about 15 minutes. It's a no-brainer upgrade from Nova.
The Google Play install is free and basically unlimited, but there is an unobtrusive "Buy Me A Coffee" type button that allows you to donate either $1 or $3 to unlock some eye candy, which I did, but mostly just wanting to support the developer.
> I assume "what sort of problems you must have" was directed at me.
I don't really have any sort of personal problem with Boris' post, if what your inflammatory statement was implying.
I also think it was a fairly good description of his workflow, technically speaking, but also glosses over the actual monetary costs of what he is doing, and also as noted above, doesn't really describe the actual outcomes other than a lot of PRs.
This feels like the desperate, look at me! post, which is the exact opposite of Andrej Karpathy's recent tweet[0] about feeling left behind as a programmer, as covered on Hacker News[1].
I guess would want to see how sustainable this 5 parallel AI effort is, and are there demonstrably positive outcomes. There are plenty of "I one-shotted this" examples of something that already (mostly) existed, which are very impressive in their own right, but I haven't seen a lot of truly novel creations.
"Well, Steve, I think there's more than one way of looking at it. I think it's more like we both had this rich neighbor named Xerox and I broke into his house to steal the TV set and found out that you had already stolen it."