0.5x software engineer, self-taught, he/him, a pathetic creature of meat and bone @im0@mastodon.social @im0.bsky.social https://xitter.cf/t.co/KkVSxtSFiw

Bestburg
Joined September 2020
Enhanced Tracking Protection выключать я, конечно же, не собираюсь
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Minor foreign languages in question: English (roughly 1.5 billion people)
人手が足りないし、マイナー外国語に翻訳出来ない
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Found something funny when reading Tailscale code. They use a Cyrillic letter "ж" (reads as "zh") for the variable which shouldn't be exposed to callers and mutated. This is an artificial barrier for human devs that should raise concerns when trying to type it. Apparently it looks like an asterisk meaning it's a pointer. But for me it's a familiar letter which I didn't expect to see in the code and was like Ж? WAT? Yeah, you can use unicode letters in Go code if you want. I now really want to use something like that in my code because I bet it'll make me smile every time I see it
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Россия так то тоже нищая страна по сравнению с Москвой.
Replying to @sergeax
образование в России успешно привели к автохтонным стандартам и их знания во внешнем мире никому не нужны. Армения и Сербия - нищие страны по сравнению с Москвой, ехать туда - терять в уровне жизни ещё больше, а богатые страны нынче не попадешь
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im0𓀨 retweeted
Прошу прощения за наглость, но у этой работы незаслуженно мало просмотров пока. Напишите если вам покажется какие то решения хорошими или наоборот, для фидбека. youtu.be/0bum-crPkyA?si=Jbgm…
А теперь наконец приятные апдейты. У меня вышел новый трек через 3 часа выйдет и клип. Прошу любить и жаловать.
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Сначала я удивился, что такое вообще существует. А потом удивился, что они не заюзали для борьбы с койотами что-то ещё более дикое, вроде противопехотных мин или каки-нибудь автоматических огнемётов, я не знаю... МУРИКА!!!1 <вставить звук орла>
I think we all moved a little too quickly past Trump making it legal to blast animals with poison-spraying land mines
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Продолжаю экспериментировать с астрофото на говно, палки и изоленту. На этот раз попытка просто увидеть галактику Боде (M 81). Кроме неё с моего балкона всё равно больше ничего интересного не видно.
Я тут вспомнил, что у меня же валяется Raspberry Pi HQ Camera. И сама R. Pi 5 с корпусом лежит без дела. А не попробовать ли мне приколхозить это всё к телескопу?
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Слева - как она должна выглядеть, Stellarium. Справа - как получилось у меня с выдержкой 5 секунд и какими-то рандомными настройками камеры Pi HQ. Увы, для красивой картинки нужна суммарная выдержка часов 10 и более точное управление телескопом.
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А это фокусировка с недавно добытой в местном магазине маской Бахтинова - en.wikipedia.org/wiki/Bahtin…
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Кому недвижимость в ТАТАРСКОМ БРДЕ?! – at Novi Sad, Republic of Serbia
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im0𓀨 retweeted
How does a large language model run on hardware? A large language model can feel like magic if your background is in CPU-centric programming. That's because the models combine deep neural network with the transformer architecture with a massively parallel processor, GPU, they run on. Furthermore, although you can express a large language model in a few hundred lines of Python, it calls into large, complex layers of software that are hard for a single person to grasp. To answer this question for myself, I implemented the Qwen3-0.6B model from scratch, from transformer to ISA simulator, with help from Claude Code as a weekend hack. That is, I implemented the model, the GPU instruction set, a compiler, and a GPU simulator to make every layer small enough for one person to understand deeply. I also have RTL for the GPU in the works to run the system on an FPGA, and perhaps in the future, tape it out to actual silicon just for fun. What's cool is that you can use it like Claude or Codex, but it runs on the CPU and is therefore fully debuggable and traceable. If you have had trouble connecting the dots between large language models and the GPUs they run on, check out the GitHub repository: github.com/penberg/titania
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Stopping is not an option. Distributing it as widely as possible and as quickly as possible is the best choice we've got. Better everyone have it than only the tech companies who have been manipulating you for years.
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
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Interestingly, lock poisoning in Rust has roughly the same meaning as EOWNERDEAD for POSIX robust mutexes...
Linux has an error code that means you acquired the lock, but its previous owner died holding it. EOWNERDEAD. You now own the mutex and have to figure out whether the other thread left your shared data halfway through an update.
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im0𓀨 retweeted
This investigation into LG TVs spying on you, your family, and your network is absolutely insane. It has made me irrationally angry that even in this 2 hour video there isn't a whole lot of "what you should do about it" - because there isn't much you can do. They suggest disconnecting all smart TVs from your network, but also demonstrate that offline TVs still record audio and can try to connect to neighbors open ISP provided WiFi (Xfinity and AT&T default routers) and exfil that anyway. The lack of control we have over our own electronics is insane, we need massive comprehensive consumer privacy legal reform.
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Если правда, то OpenAI просто художественно спиздила чужие результаты cims.nyu.edu/~tristanb/state…
tristan buckmaster just published a statement that is, if accurate, one of the ugliest things i’ve read out of a frontier lab. not because of the math. because of what happened after openai found out two people were about to beat them to the punch. buckmaster and levent alpöge spent a year pushing the córdoba / martínez-zoroa program to smooth forcing. august 15 they got blowup for boussinesq and 3d euler. lean-verified august 22. they were paying openai out of pocket and dumping every draft into private codex sessions. the program is obscure. almost nobody else was on it. this was not “paste the clay problem into a chatbot.” then this: > thursday sept 3, buckmaster emails openai privately. rumors are flying. he is trying to stop a mess, not start one. > they reply the same day: give us details so we can “avoid competing.” also, want free compute? > sunday they suddenly need a call “at any point today.” sebastien bubeck gets on. levent is not invited. > openai says an internal model has a ~100-page proof of forced navier–stokes blowup. fefferman options c and d. the exact route buckmaster and alpöge had quietly chosen. > they show him a prompt and claim the model was “simply given the problem statement.” levent is told “very little human input.” > that falls apart on the same call. a whole team had been on it. they started on the unforced problem, warmed the model up on easier equations including euler, and even the prompt they showed him was written by prompting codex. > he asks when the first prompt went out. they stall. then agree: the past few days. after information about his work reached openai. > he asks whether the model was trained on, or had access to, the private codex sessions where they put every draft of this project. > answer: the model does not look up user data. > he asks again. about training. > no answer. then it stops being a science story and becomes an hr story. > offer 1: you post euler. we post navier–stokes the next day. > offer 2: after you post euler, you alone write the navier–stokes paper, credit our model, and we cut levent. > bubeck says twice he wants levent removed from authorship because he works at anthropic. he declines both. he says if they release it that way, he goes public. the reply is not a scientific objection. > “why would you ruin your career?” > “if you don’t want me to be nice, then i don’t have to be nice.” later, a text to levent proposing a one-on-one: > “i don’t know if tristan is being fully rational right now.” that is not how you treat a collaborator. that is how you split one. openai got word two researchers were closing a path almost nobody else was on. they spun up a team on that exact path. they would not answer whether the researchers’ unpublished drafts in openai’s product were used. they tried to dictate the announcement order. they tried to remove a coauthor because he works at a competitor. when that failed, someone reached for a career threat. this is a lab finding out academics were about to publish, sprinting the same narrow program, refusing the data question, and trying to manage credit around a rival affiliation. really slimy if even half of this holds. what the fuck is happening.
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Мда...
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