Probably a duplicate autopilot-like system that an AI controls. Flip a switch and controls revert back to the pilot. It may not even be a real switch, many planes disengage AP when you touch the controls.
I doubt AI will be doing dogfighting anytime soon, this is likely just an AI following predetermined routes and maneuvers and making the choice on how to accomplish them. The great thing about computers is that they can process inputs faster than humans.
I use a patched version of the last released version of redditisfun. Basically, you grab the AppID from when you install RedReader, authenticate it with your account (they send it to you in an email) and then patch redditisfun using that AppID with ReVanced or Morphe. I've been using redditisfun for like 15 years, not really interested in moving to their official app. All of the legacy features work fine.
Only weird thing is that since RedReader censors all NSFW posts and your RiF is now tied to that API token, you need to make yourself a mod of a subreddit to be able to view anything NSFW. RedReader is the only allowed 3rd party app because it's meant for screen readers. In the past few months, Reddit turned off the ability to make API tokens for that would enable RiF to keep working but they've since changed the policy so they have to approve your request and a 3rd party app is not a good enough reason. Although I see a ridiculous amount of bot spam so clearly their war on API access is not really working that well.
They offer some sort of booster module for runs up to 30m. Not exactly long range but it is for i2c. Although at that point, I'd rather just do something different than buying two of these extenders for super long runs.
Yeah there's a reason why all of the high reliability chips I use only come with SPI interfaces. The last time I used i2c for anything but hobbyist stuff was in college.
After being too used to the streaming app experience, I wanted the same thing for my own library. You don't need to use the transcoding feature but the Netflix experience is a nice upgrade. The Jellyfin server doesn't need much for resources either (if you aren't transcoding), people run it on raspberry pis with external harddrives attached. Once nice thing is that I often forget about the stuff I've downloaded, Jellyfin has a "recently added" section and will also remember where I've left off with a "continue watching" section and also a "next up" section showing the next episode in series I'm watching. Since I have sonarr subscribed to currently airing TV shows, the latest episode will appear there after its been downloaded.
The annoying thing is that Jellyfin is particular about how your TV shows are organized. If you just dump whole seasons into one directory, that's fine but if you have individual episodes, they need to be organized by Title/Season #/Episode.mkv. The good thing about Sonarr is that it will make a second library directory for you comprised of hardlinks organized in the right structure. Plex is less picky, it seems to recognize files no matter how messy your downloads folder is but Plex has infected their client with ads and freemium garbage of late. Obviously if you use usenet, this isn't a huge problem, you can do whatever you want with your files once downloaded.
Thats what I used to have 15 years ago when I was streaming over SMB to my Xbox running XBMC. It works but having something like Plex or Jellyfin is just so much nicer. It gives you the "Netflix" experience of browsing your media library. My Jellyfin is setup to offer an automatic "skip intro/credits" button. I used to use Plex and was a yearly subscriber mostly for the ability to download media to my phone for offline playback. Obviously I could do that with an SMB share but Plex (and the others) have built-in transcoding which is nice if you don't have the time or space for a bunch of full size 1080p files.
Now, I use Jellyfin alongside Seerr (so me and others can quickly pick-out media to automatically download in a preset quality). I've also installed a plugin for Jellyfin called Moonfin that offers a ton of quality of life improvements and also integrates Seerr within one app. I just click on a movie or TV season I want, Seerr tells radarr or sonarr to query my private trackers for the selection, and then radarr/sonarr send the torrent to rtorrent. After a few minutes, Jellyfin picks up the files and adds them to the database.
I dug up my Pi2 for a project the other day. The plan was for it to be a USB serial to network bridge for up to six devices and to use ZMQ pub/sub for passing commands and telemetry. Most telemetry strings were only 500B but I sometimes see two sequential 32KB mega strings for dumping data. The Pi was choking on the mega strings and they were getting cut off early. I spent forever trying to debug this and eventually figured out it was a hardware issue when the code ran fine on a modern PC. I tried a few tricks to get the Pi to cache more USB data before giving up.
I bought an old Lenovo M92 on eBay, threw in an old 500GB HDD, and it worked perfectly for the job. I had thought about just buying a newer Pi but the 14 year old Lenovo offered better specs at only $38. I promptly bought another more modern version for $100 for my desktop.
Based on benchmarks for an identically specced machine [1], a new Pi 5 edges out on single core performance and TDP but gets beat badly on multi-core and price (4-5x, even on eBay!). There also would have been the extra cost of buying a case for the Pi. I could have spent even more money on a newer mini PC that blows the Pi 5 away entirely. Obviously a Pi (even a Pi 2) is plenty capable of many tasks, I have a Pi 3 running my home assistant but it's hard to justify the extra cost over surplus thin clients that can be purchased for much less. The Pi does have its GPIO bank that's just not offered on any mini PC but I can barely remember how many times I've needed both GPIO and a whole PC-like stack to run code, an ESP8266/32 have worked fine. An external PCIe bus is cool but again, unless you're doing some really unique edge computing, not really much of a selling point.
Power consumption is a concern but they are both so low that unless you're operating off a battery, power consumption is negligible relative to everything else in your house. It would take 2 years to make up the difference in price running at full TDP (38 vs 12W). 38W is low enough that fan noise is barely a concern as well.
Size is also a concern but the difference in size is negligible unless you're trying to cram as much compute power as possible into a mini rack. A mini PC is probably the same size as your home router so just put it there.
I just really can't see the need for running the full size Pis anymore. An old mini PC does a better job for cheaper for server tasks. A Pi Zero 2 or even a Pico are much more inline with the classic Raspberry Pi ideology.
Apple struggles to sell budget models of their phones, everyone wants at least the standard version. Why would they try to sell an even tinier phone than the SE? No one will buy it. The Apple Watch is a tiny device with its own SIM but that's not a phone, it's a smartwatch so its really an accessory to your phone.
While I'm typing, I'm not just thinking about which keys to hit. I'm thinking about how I'm using a function and what the inputs and outputs are. I'm debugging in my head, I may realize the code isn't going to do what I thought it would. Or I'm realizing that what I'm doing isn't going to scale and that I need a more rigorous approach. Often, I'm thinking "wow I'm going to have to type this same block a bunch of times, I should make a new method/function to handle this."
With code, I'm not planning everything down to the finest detail before I start writing. I know what I ultimately want my code to do but there are many unknowns I hadn't considered. Coding with an LLM is different depending on how you use it. When I'm using code completion, that's usually just helping me prevent syntax errors or to write an efficient snippet of code without having to check docs. But when I tell Claude "I want a web app that does xyz" and it creates it whole-cloth, that takes away the challenge of learning something new and building. I'm not a web developer and anything I could create is going to take me a long time to make (and it probably won't work well or look good) but Claude cranks it out with ease. I get to play software project manager and let the expert do the technical work. It's kinda fun being able to quickly get resulrs. Rather than debugging individual lines of code and thinking about the best way to implement code, I get to test features and think about better ways for the overall system to operate.
The power consumption is a little silly to compare unless you are operating solely off-grid. It would take a few years of gaming daily for a couple of hours a day to make up for the price difference (assuming $0.20/kWh).
Physical size is definitely a bigger concern, nothing can beat the Steam Machine. But I do prefer the long and thin design like the PlayStation series has always used. It's easier to fit that on the shelves inside a TV stand that were designed to hold cable boxes and DVD players or it can fit upright behind a TV. I'm not sure if I actually have room to put a Steam Machine behind my TV without it overhanging the edge a bit.
As for loudness, that's a bit more subjective. It depends on how far away you are from the PC and how loud you play sound or if you're using a headset. Just totally based on my experience, games that are very quiet are usually the low-resource indie games that wouldn't be pushing my GPU to max fan speed anyway. The games I have that really push my GPU tend to have pretty loud sound design.
Sure but that doesn't really work with the existing age verification laws. Unless .xxx is requiring domains to implement age verification or there's some sort of global redirect to a verification portal, that site is back in the same legal jeopardy of having Texas confiscate their domain again.
I used to keep an engineering notebook open on my desk just for this purpose. The left side was scratchpad, the right side was a more structured notetaking system of things to remember. When the left side got full, I'd start stealing some area on the right. When the right got full, my things to remember were probably out of date so I'd flip to the next side.
You shouldn't ever willingly give up information to a plaintiff if it could implicate you. If the information exists, it's going to come out in discovery. Admitting to theft of trade secrets is probably not going to help you, it's not like the cops offering you immunity for turning state's witness.
You talk to a lawyer and do what they say, not what Apple demands of you. No one but a judge can demand anything of you.
It might be easier than that. Are the bass lines totally missing or are they just very weak? If you can capture a recording using vintage equipment and the placing of it, you can get the system response. Run the original recordings through an inversion of the response and you should get really close. Another possible method is to find the transform between an identical modern recording of the song and use the difference between the two recordings to make your transform.
I use Dell Thunderbolt docks because that's what my employer gives us and as such I've collected a few of them. I've had zero issues with them. The only complaint is that the power button on the dock only seems to work with Dell laptops, not a huge issue since I don't think that's a typical feature anyway.
That's why companies usually don't have a bunch of competing owners from the start. You do your big risky moves early on when you have the novel vision and a big blank check from a VC. Public stockholders aren't going to be as risk tolerant because the ROI is never going to be as high as what the early VC would get. Going public is growing up, you can't do the fun risky stuff you did when you were a young startup with more cash than sense. When you do want to do something fun as a public company, you have to do it carefully because you're dealing with other people's money now.
Not impossible but it's not as easy as dedicated GNSS satellites. The ranging codes in a GNSS signal are what makes it easy to find your distance from the transmitter. Starlink doesn't have that, there are some observables you could use but it's not simple.
I doubt AI will be doing dogfighting anytime soon, this is likely just an AI following predetermined routes and maneuvers and making the choice on how to accomplish them. The great thing about computers is that they can process inputs faster than humans.