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I bought my iPad 5th gen years ago pretty much for reading PDFs. Sadly, it's barely even usable for that, even after a fresh device reset it's laggy and so slow. I'm not sure if it was always that way; I don't think so. I've stopped upgrading iOS but I think I'm already at 15, if there's a way to go wayyy back that's probably what I want to do, but it's sad that even an iPad can be bogged down so much as to barely run PDF readers. And I always wished mine supported pencil / annotations, but I think I'm one generation behind.

I imagine most employees who get by in cloud docs (Google/Microsoft/etc.) and don't really open apps other than browsers can learn to be comfortable with an iPad, but many people don't want to. I have friends who refuse to even learn to use a trackpad on Macbook because they are so set in their ways.


I’ve been viewing the cached result constantly


I am no where near an expert on this subject, and this information is from a few months ago so maybe it's outdated, but people on Reddit[1] are claiming running the llama with 65B parameters would need like 20K+ of GPUs. A 40GB A100 looks like it's almost $8K on Amazon, and I'm sure you could do a lot with just one of those, but that's already beyond your $5K budget.

[1] https://www.reddit.com/r/MachineLearning/comments/11i4olx/d_...

I'll let others chime in but you could still probably build something really powerful within your budget that is able to run various AI tasks.


You can get around 4-5 tokens per second on the 65B LLaMA with a 32 core 256GB ram Ryzen CPU, not sure how much it costs to build but can rent one from Hetzner for around two hundred bucks a month.


Doesn't everyone? I can't stand not using monospaced fonts when coding


I've seen it said that newsfeeds/ads/etc. feed you what they think you will engage with, so you may want to wonder why you're seeing that type of content. I've never seen anything of the sort on any large tech platform, and I'm probably in an appropriate demographic to be recommended that stuff.


Those algorithms tend to be "people who liked X also liked Y", which is very prone to false positives for people who don't fit conventional stereotypes.

For example, someone who watches the Forgotten Weapons channel on Youtube might get recommended far-right conspiracy videos, because people who like guns often like far-right politics. They might also get recommended Scott Manley and Greg's Airplanes and Automobiles because all three have deep dives into interesting historical technology.

Ideally, there would be more manual knobs for communicating one's preferences about such things to recommendation algorithms.


Relatedly, easily the highest item on my wishlist for YouTube features is algorithm customizability. Half the time I'm recommended the same 5 channels, while the other half I'm recommended amazing videos from fantastic smaller YouTube channels.

Being able to at least switch between some presets for the algorithm would be amazing.


I think it's more the lack of other analytics data, due to uBlock Origin and a PiHole in my network, that they fall back to those ads. Maybe I'd have some nice ads for cooking supplies if I were to allow tracking, not sure.


Facebook shows me mobile game ads that are basically soft core porn for games that have absolutely nothing to do with the content of their ads.


For "Advanced" Web Programming, I don't really feel like you're hitting the mark by sticking with PHP. Sure, it works, and will probably get the job done for most web projects any of your students will ever work on, but if you want to get people excited while making them employable, it's important to teach new tools and frameworks. Unless the "Advanced" part is more about the techniques and patterns and less about the language, I think you're doing them a disservice by not branching out. And, of course, you can teach patterns and techniques in any modern language.

I'd expect to see some discussion of async job processing and front-end web frameworks in any advanced web programming course, high-school or college level. Honestly, just teaching the usual react stack with a typical node backend would probably be ideal since JS is approachable, react is still "cool", and you still only need to use one language.


Exactly how I feel reading this thread, I had no idea PHP has changed so much.


I was curious what kind of range that might have, so I put what you said into chatgpt and asked what the range of a typical car or home stereo would be, and it gave me this (not sure if it's correct). FWIW, much less than 20 miles, haha.

-- The maximum power output of a personal FM transmitter allowed by the FCC is 250 microvolts per meter at a distance of 3 meters. The range of the transmitter depends on various factors such as terrain, obstructions, and interference.

Assuming ideal conditions, such as no obstructions or interference, the range of the transmitter can be calculated using the inverse square law. This law states that the strength of a signal decreases with the square of the distance from the source.

At a distance of 3 meters, the signal strength would be 250 microvolts per meter. At a distance of 6 meters, the signal strength would be 62.5 microvolts per meter (250/4). At a distance of 9 meters, the signal strength would be 27.8 microvolts per meter (250/9).

Typical car and household stereos have a sensitivity of about 2 microvolts per meter. Using this sensitivity value, we can calculate the range of the transmitter for these devices.

For a car stereo, the transmitter would have a range of about 26 meters (square root of 250/2). For a household stereo, the transmitter would have a range of about 63 meters (square root of 250/0.5).

However, in reality, the actual range of the transmitter may be shorter due to various factors such as interference and obstructions.


> FWIW, much less than 20 miles

For the record I'm sure OP meant his has a range of 20 metres


sbcl: (* (sqrt (/ 250 2)) 3) => 33.54 meters, the factor that amplifies distance is the square root of the factor of signal strength.


Epic/Cerner/SAP may be CRUD apps with clunky and outdated interfaces, but I wouldn't classify them as basic. Those applications are massive and have a ton of legacy code to connect different things. I'd suspect much of the rest of their staying power does lie in the company's scale and relationships, as well as their domain knowledge. It would cost massive amounts to build a viable competitor to any of them, and you'd need people who understood the problem space well enough to know what code to write. Doesn't matter if it's just a basic CRUD app built on top of a standard RDBMS, if you don't know what features are needed.


> ow my feed is like 10 percent science, 10 mildly racist / inflammatory content, 10 percent miscellaneous,

So basically it's the new Facebook


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