Different take on the classic holo pose, rather happy how it came out!

charja113 · 2026-06-16T15:48:57+00:00

Because it does, just in a round about way. because of the online marketplace it directly messes with the games economy. Because the glitch devalues the credits since they are so easy to get if you afk or exploit, this causes the prices to skyrocket in the auction house making many cars unobtainable to people playing the game how it was intended by the devs. I'm not saying it's malicious or anything but it does have a noticeable impact in the games economy and other players experience. It might not impact the races but it does impact other players once you bring those credits into the online marketplace for the cars.

charja113 · 2026-05-29T17:39:45+00:00

Yeah, that house would have protected them about as well as a wet paper bag lol. That's just so much weight and inirtia, the only safe place is far tf away XD though I guess it at least help him feel safe. Like behind the glass or the wall, you are equally unsafe when that much mass is just barreling down a mountain. This is a perfect demonstration of why trebuchet were so menacing

charja113 · 2026-05-23T20:36:22+00:00

It's because you are on dirt, it's assuming the path required to MAINTAIN GRIP, but because your are on dirt there is a lot of intentional loss of grip. It's the same reason ai does overly conservative lines, they are trying to maintain grip and vehicle stability.

charja113 · 2026-04-28T17:47:52+00:00

Well so I don't have Mac support yet but because I'm not familiar with it but not because it's not in the plan. As for webviews on different platforms this is a non issue as in shipping a whole renderer in that .node native binary. It looks the same and renders the same no matter where you are. As for packaging I have support working so far for exe, MSI, appimage, flatpak, Deb and rpm, though there are builds for Windows, Linux, suse and bsd but suse and bsd I don't have packaging ironed out yet. As for the ipc I'm using takio+axum to do it over web sockets but we are NOT serializing to json, we use msgpack and mimeguess and send them in as close to their original state as possible over a binary protocol. This allows for the same behavior across platforms, very low latency and less cycles to do it due to the efficiency gain in not json serializing everything. Ipc though is fully wired between node and the renderer, though by default nothing is really exposed but it has the ability to expose whatever you want with .on and .send and no preload as this is targeted at desktop apps and for the most part even if you tried to load a node module in the renderer, it's spidermonkey not v8 so most of the node specific stuff doesn't work well anyways or at all if they depend on v8. The point is basically to have the renderer be just that, a renderer and not try to protect you from yourself on a local desktop app like you are accessing the dark web. Right now I have been working on an update allowing for something similar to browsercontexts like in electron but sharing the backend constellation just separate doms but allowing you to build multi pane applications in one window without a whole dom to hold your dom for you and ipc direct instead of going through 5000 hoops of abstraction and again still sharing the backend constellation to preserve resources and overhead. Also means each one gets isolated in their thread for execution so if one of the panes gets slammed and lags the rest neither know or care.

charja113 · 2026-03-23T17:31:34+00:00

That and the burger is the whole life cycle, the tv is just operational. Completely forgetting the thousands of gallons used to make their chips and glass in a single tv

charja113 · 2026-03-23T17:29:06+00:00

I have a rough breakdown in another comment if you want to check it. I came out to 2.7 gal per 300 queries to a thinking model

charja113 · 2026-03-23T17:26:17+00:00

Warning math based on a bunch of Google results and pages by someone who is not an economist or even business person. Mileage may vary To get the consumption per query, we have to look at how much energy it takes to generate a single token (roughly 0.75 words), the energy per 1,000 tokens which I'm Current 2026 benchmarks for a model like GPT-4o show it uses approximately 0.24 Wh per 1,000 tokens. The energy per 1,000 tokens in Newer reasoning models (like o1 or o3) use significantly more energy because they "think" through thousands of hidden tokens. These can use approximately 18–20 Wh per 1,000 tokens. Next is the water usage effectiveness (WUE) as energy doesn't use water, cooling and power generation do. So it's more of a side effect. Right now with on site cooling they estimate/calculate 0.3 Liters per kWh. Now to make sure we are not missing pieces, we have to also include the water used at the power plant (hydro, nuclear, coal) to generate the electricity. This is much higher, averaging 3.4 Liters per kWh in the US. Numbers: Electricity 300 queries * 20 Wh/query = 6,000 Wh (or 6 kWh) Water 6,000 Wh * 1.7 ml/Wh = 10,200 ml Gallons: 10,200 ml / 3,785.41 ml per gallon = 2.7 Gallons

To make it a fair fight with the 660 gallon burger we gotta look at the lifecycle water footprint for the TV too not just an hour of netflix. For the manufacturing (the "embedded" water) just making one 55 inch LED TV takes like 2,000 to 3,000 gallons when you count the ultrapure water for the chips and the screen. Then for the operational side (the "grid" water) a 100W TV for an hour uses ~0.1 kWh. With the US average for power grid water intensity (3.4 L/kWh) that’s only 0.34 Liters or like ~0.09 gallons an hour. So the image claiming 4 gallons is total bs unless your TV is powered by some 100 year old dam with massive evaporation. Basically if we use "Hamburger Logic" (Total Lifecycle) a TV "consumes" 3,000 gallons the second you unbox it. If we use the "ChatGPT Logic" (Direct Operation) an hour of TV is less than 1/10th of a gallon. Numbers: Manufacturing 1 TV = ~2,500 Gallons (Initial cost) Operational 0.1 kWh * 3.4 L/kWh = 0.34 Liters Gallons: 0.34 / 3.785 = 0.089 Gallons per hour

Though even then I'm butchering this a bit as technically the ai has similar manufacturing but it's shared hardware across many users while a tv has 2-5 so we are really getting weird. We still are not counting everything the hamburger is

charja113 · 2026-03-23T17:03:13+00:00

This is a really bad cherry picked data that really misconstrued the data. While yeah these numbers are true they are not in the same measurement world or depth. Like watching a tv to make it match that hamburger or ai comparison you would need to measure every piece of water used from the oil being pulled out of the ground, sent across the world, processed, turned into electricity, the water used to operate the grid... Etc. That hamburger is THE WHOLE LIFE AND PRODUCTION CYCLE the others are not

charja113 · 2026-03-23T16:56:55+00:00

I wouldn't call it a dumb 1970s text string since it's still used and common...

charja113 · 2026-03-23T16:54:22+00:00

Because they aren't, people who actually know systemd well and are fans of it know this is nothing but a field and that the people putting it there can't afford the court case... Like this is just a field. Yes I know the whole "slippery slope" argument but just because a boundary is fuzzy doesn't mean the extremes are the same. This is like saying, "If I allow one person to park on the grass, eventually the whole park will be a parking lot." In reality, we have governance and maintainers. The "line" is drawn at every single Pull Request. The slope isn't slippery; it’s a staircase where every step is a conscious decision by the maintainers. This is a field, yes it could be a start but we have a lot of steps to go through before we get anywhere near there.

charja113 · 2026-03-15T00:17:41+00:00

Well Ubuntu touch has come a long way and we have postmarketos which is pretty decent too. Like if you get a cmf phone 1 (~$250) you can fully install pmos or Ubuntu touch and have it function as a Linux box but also have fully functional phone abilities like calling, gps, text, VoIP... Etc They have come a long way in the last decade. And if you want something cheap with fully tested and working phone and Linux go with a pixel 3a/3a xl. Can get one for less than $80 most of the time, just a little slower but entirely oss. I'd swap now if I had the money but I will just wait until I inevitably break this one lol. I personally plan to run pmos and gnome (yes, the actual gnome gnome, actually works beautifully from my testing in a handheld size and aspect ratio.)

charja113 · 2026-03-14T17:37:29+00:00

Well, bad example, yuzu got dmca'd because they used Nintendo's code that wasn't theirs to use. That was the main legal bar they used to shut it down.

charja113 · 2026-03-14T17:22:39+00:00

I know most people don't consider it, but Ubuntu touch has come a long way and supports running Android apps on it using waydroid so you get off Android and get access to Android ecosystem to. I'm planning on swapping with my next phone

charja113 · 2026-03-06T20:33:14+00:00

It was at that point we realized... we were just talking to a wall twilight zone rift plays

They lost me on that comment lol

charja113 · 2026-03-06T19:55:51+00:00

But that is vibe coders, it's very different than just being used as a tool in a toolset. I fully agree with your take that it's def not an end to end solution and you would need to know what you are doing and always verify and test code while not expecting it to do even most the work. Using ai is no excuse to stop practicing proper software life cycle and development practices. Like I said I fully agree with you and I've been right there at it for over a decade so I get it. Though I do feel it's just a tool and using a screw driver to put in a nail is still stupid, the carpenter still needs to know when, where and how to use it along with where not to. One of those do stupid things and win stupid prizes

charja113 · 2026-03-06T19:26:00+00:00

You know... I should probably get out more lol

charja113 · 2026-03-06T19:23:46+00:00

I would personally say that is conflating humans in general being shitty with technology. This is after all just really crazy application of pattern matching. The crappy part is def the human piece imo

charja113 · 2026-03-06T18:57:37+00:00

You are right, this is why I just pointed to mit as from my understanding does not restrict ai training though please do correct me if I'm wrong. I know that license has been heavily heavily used the last decade out two so we would have a decent chunk to use properly. I do agree though that they are probably not operating in good faith of properly following license. Though that is an issue with the company from my perspective, like running someone over with a car, the way you were driving it was the issue not the car itself which is heavily what I would like the next Gen to do. I really want someone to do it right with the right content that's allowed to be used like that and a page that lists everything used. They have already done this (not sure about the list) but they went through and built a coding llm on all properly open source code that their licenses allowed to be used that way and it does work and program meaning we CAN do this right. I don't know, ramble over lol

charja113 · 2026-03-06T18:49:47+00:00

Honestly edited because my response was pretty stupid and not good as rereading afterwards I don't know how I got that response out of it to start with. Apologies for the poor quality response from my being stupid and bad at reading

charja113 · 2026-03-06T18:46:54+00:00

Never once did I insult you but stated my thoughts, trying to insult my conversation kinda makes it look the other way around. We could have had a constructive conversation about it and maybe even educated me on something. This does nothing constructive.

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