most code from the before times, from the long-long-ago, actually didn’t need a browser, and could fit on a floppy disk!
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i live in malta and got an xev yoyo amonths ago today. It’s my daily driver.
writing code that doesn’t need a browser to run on
vrighterto Games@lemmy.world•A game you "didn't know it was bad 'til people told you so"?English2·5 days agoi bought an original cartridge and played it on the vcs i iherited from dad
overactors trying to out-overact each other. Love it!
vrighterto Games@lemmy.world•What's an absolutely medium quality game? Not great, incredible or terrible or any single ended extreme. Dead medium qualityEnglish3·5 days agoi still enjoyed the crap out of it. Sometimes zoning out and just running around collecting stuff is just what I need.
vrighterto Privacy@programming.dev•Meta Found a New Way to Track Android Users Covertly via Facebook & Instagram8·5 days agolocalhost is “this device”.
connecting to localhost means connecting to something running on the same machine.
Browsers generally block connections to other domains (ex if you’re on google.com, the browser won’t simply let the site contact amazon.com willy-nilly).
But localhost is your own machine, so it is usually “trusted”. Facebook exploited this fact to exfiltrate data from the browser to the other apps running on your own phone, which would, in turn be free to do with it as they please, because they’re not the browser
vrighterto Games@lemmy.world•A game you "didn't know it was bad 'til people told you so"?English8·5 days agohe was forced to release it quickly to coincide with the film’s release. For comparison, it used to take a team of devs a couple of months to make a game. He had 6 weeks.
Also, if you read the manual, this essentially never happened to you. It was easy to avoid.
You also needed to read the manual. The game did stuff that other games at the time didn’t, for example, a contextual button. You couldn’t know what would happen unless you read the manual to learn what the icons meant. A lot of people never did and so decided that the game was bad.
I don’t see a ball in any of the nets. So there are zero goals in that image
vrighterto Games@lemmy.world•A game you "didn't know it was bad 'til people told you so"?English17·5 days agowhen climbing out of the pit, it was very easy to immediately fall back down (due to the pixel-perfect collision detection).
And here is an excerpt from the manual: “Even experienced extraterrestrials sometimes have difficulty levitating out of wells. Start to levitate E.T. by first pressing the controller button and then pushing your Joystick forward. E.T.'s neck will stretch as he rises to the top of the well (see E.T. levitating in Figure 1). Just when he reaches the top of the well and the scene changes to the planet surface (see Figure 2), STOP! Do not try to keep moving up. Instead, move your Joystick right, left, or to the bottom. Do not try to move up, or E.T. might fall back into the well.”
vrighterto Games@lemmy.world•A game you "didn't know it was bad 'til people told you so"?English15·5 days agoit was actually way ahead of its time, for a game. One small bug (the workaround for which was in the manual) ruined its reputation. But I genuinely think it was a good game.
Also written in 6 weeks by one guy. Freaking impressive
vrighterto Linux@lemmy.ml•Just wanted to show off the lowest end hardware I ever ran Linux on3·6 days agoI was 14 years old, and I got the 128meg stick for free. Beggars can’t be choosers haha
vrighterto Linux@lemmy.ml•Just wanted to show off the lowest end hardware I ever ran Linux on3·6 days agoi started using linux on a single core pentium 4 with 384M of ram
vrighterto Privacy@lemmy.ml•What extensions would you absolutely recommend to someone who use Firefox?71·6 days agoI’m partial to this one
because the over 70 different binaries of systemd are “not modular” because they are designed to work together. What makes a monolith is, apparently, the name of the overarching project, not it being a single binary (which again, it’s not)
you don’t check your brain’s file system regularly?
vrighterto Technology@lemmy.world•Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all. They just memorize patterns really well.English1·11 days agoyou wouldn’t be “freezing” anything. Each possible combination of input tokens maps to one output probability distribution. Those values are fixed and they are what they are whether you compute them or not, or when, or how many times.
Now you can either precompute the whole table (theory), or somehow compute each cell value every time you need it (practice). In either case, the resulting function (table lookup vs matrix multiplications) takes in only the context, and produces a probability distribution. And the mapping they generate is the same for all possible inputs. So they are the same function. A function can be implemented in multiple ways, but the implementation is not the function itself. The only difference between the two in this case is the implementation, or more specifically, whether you precompute a table or not. But the function itself is the same.
You are somehow saying that your choice of implementation for that function will somehow change the function. Which means that according to you, if you do precompute (or possibly cache, full precomputation is just an infinite cache size) individual mappings it somehow magically makes some magic happen that gains some deep insight. It does not. We have already established that it is the same function.
vrighterto Technology@lemmy.world•Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all. They just memorize patterns really well.English1·11 days agothe fact that it is a fixed function, that only depends on the context AND there are a finite number of discrete inputs possible does make it equivalent to a huge, finite table. You really don’t want this to be true. And again, you are describing training. Once training finishes anything you said does not apply anymore and you are left with fixed, unchanging matrices, which in turn means that it is a mathematical function of the context (by the mathematical definition of “function”. stateless, and deterministic) which also has the property that the set of all possible inputs is finite. So the set of possible outputs is also finite and strictly smaller or equal to the size of the set of possible inputs. This makes the actual function that the tokens are passed through CAN be precomputed in full (in theory) making it equivalent to a conventional state transition table.
This is true whether you’d like it to or not. The training process builds a markov chain.
vrighterto Technology@lemmy.world•Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all. They just memorize patterns really well.English1·11 days agono, not any computer program is a markov chain. only those that depend only on the current state and ignore prior history. Which fits llms perfectly.
Those sophisticated methods you talk about are just a couple of matrix multiplications. Those matrices are what’s learned. Anything sophisticated happens during training. Inference is so not sophisticated. sjusm mulmiplying some matrices together and taking the rightmost column of the result. That’s it.
“i don’t care about that. Hhit was working and now it’s not” - the users