https://education.github.com/pack
Do you know about the github education pack explore it, it is all fascinating
Do you know about the github education pack explore it, it is all fascinating
GitHub Education
GitHub Student Developer Pack
The best developer tools, free for students. Get your GitHub Student Developer Pack now.
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The github ed pack is awesome but can be challenging to set up for many high school students as it needs the website of your school but if anyone here is AAU stud it says can use the university provided email, I am contacting the students service team in how to set that up and will inform you soon
Forwarded from Orion Space (Naty)
We're excited to start Orion Space , the first rocket club at Addis Ababa University! If you're interested in rockets and space, this is the place for you.
In Orion Space, you can build and test rockets with your fellow students, fun competitions and show off your work, and learn more about space in a friendly and helpful group.
We welcome students from all 14 AAU campuses to join us in exploring the wonders of space. Come be part of our club and help us reach new heights!
@OrionSpace1
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Hi fans, long time no see ๐๐ how is everything, I was AFK
I read about something interesting and it was about personhood credentials. In the near future we might need a method other than recaptcha to distinguish between a real person and digital imposters and it was fascinating that these are being thoroughly studied and will appear in the near future in which we should have a personhood I'd which can be issued by government and can be provided for the specific service we are using to verify we are human, XD ๐, (u don't need personhood id to proof you are human for your self until now, lol ๐) and it is insane, ๐ญ want to read more ๐
https://news.mit.edu/2024/3-questions-proving-humanity-online-0816
I read about something interesting and it was about personhood credentials. In the near future we might need a method other than recaptcha to distinguish between a real person and digital imposters and it was fascinating that these are being thoroughly studied and will appear in the near future in which we should have a personhood I'd which can be issued by government and can be provided for the specific service we are using to verify we are human, XD ๐, (u don't need personhood id to proof you are human for your self until now, lol ๐) and it is insane, ๐ญ want to read more ๐
https://news.mit.edu/2024/3-questions-proving-humanity-online-0816
MIT News
3 Questions: How to prove humanity online
AI agents could soon become indistinguishable from humans online. New research suggests โpersonhood credentialsโ could protect people against digital imposters.
Will help of anybody here is planning to include face detection feature in a project
https://justadudewhohacks.github.io/face-api.js/docs/index.html?ref=dailydev
https://justadudewhohacks.github.io/face-api.js/docs/index.html?ref=dailydev
And recently ui templates are out of bounds, it is very resourceful for us who rush to the functionalities but I reckon about the front end gurus
DevDojo free customizable Laravel starter kits with authentications and socialities
https://laravel-news.com/laravel-auth-screens?ref=dailydev
https://laravel-news.com/laravel-auth-screens?ref=dailydev
แแตแแ แฅแญแแ แแตแ แแแแข
แฅแแณแ แแฅแญแแ แแตแแ แ แฐแแ แ แฐแจแณแฝแ แ แฐแจแฐแ
แ แแ แจแฐแแ แจแแ แญ แซแตแญแแแแข
@software_nexus_focus
แฅแแณแ แแฅแญแแ แแตแแ แ แฐแแ แ แฐแจแณแฝแ แ แฐแจแฐแ
แ แแ แจแฐแแ แจแแ แญ แซแตแญแแแแข
@software_nexus_focus
Hi fans ๐
been diving into continual learning lately and honestly... it's fascinating ๐ง
basically the problem is โ how do you teach a model new stuff without it forgetting everything it already knows? turns out it's really hard lol
found this paper on sparse memory finetuning and the approach is kinda crazy. instead of updating the whole model (which wrecks it), you give it millions of tiny memory slots and only touch the relevant ones. like... surgical precision ๐ฌ
the numbers: full finetuning forgets 89%. LoRA still forgets 71%. this method? only 11%. that's wild
still early research (1.3B scale) but the direction feels right. this is where always-learning AI actually starts to look possible
also I started google's nested learning path a while back but never finished it... getting back to that too ๐
https://jessylin.com/2025/10/20/continual-learning/
been diving into continual learning lately and honestly... it's fascinating ๐ง
basically the problem is โ how do you teach a model new stuff without it forgetting everything it already knows? turns out it's really hard lol
found this paper on sparse memory finetuning and the approach is kinda crazy. instead of updating the whole model (which wrecks it), you give it millions of tiny memory slots and only touch the relevant ones. like... surgical precision ๐ฌ
the numbers: full finetuning forgets 89%. LoRA still forgets 71%. this method? only 11%. that's wild
still early research (1.3B scale) but the direction feels right. this is where always-learning AI actually starts to look possible
also I started google's nested learning path a while back but never finished it... getting back to that too ๐
https://jessylin.com/2025/10/20/continual-learning/
so... I've been working on something ๐
building an AI learning playground โ basically a place where you can actually learn AI by doing, not just watching tutorials and reading papers all day
especially heavy on reinforcement learning ๐ฎ โ training agents, reward shaping, policy stuff... RL is one of those things that clicks 10x faster when you see an agent actually learn in real time vs staring at equations
it's still super early stages but I'll be sharing progress here regularly. this channel is basically the build log now ๐
oh and โ if there's a topic you want me to cover or break down, drop it in the comments or slide into my DMs ๐ฌ I'm building this for y'all so lmk what you actually want to learn
I will include things I want to learn meaning I will be building them while learning that thing
stay tune
building an AI learning playground โ basically a place where you can actually learn AI by doing, not just watching tutorials and reading papers all day
especially heavy on reinforcement learning ๐ฎ โ training agents, reward shaping, policy stuff... RL is one of those things that clicks 10x faster when you see an agent actually learn in real time vs staring at equations
it's still super early stages but I'll be sharing progress here regularly. this channel is basically the build log now ๐
oh and โ if there's a topic you want me to cover or break down, drop it in the comments or slide into my DMs ๐ฌ I'm building this for y'all so lmk what you actually want to learn
I will include things I want to learn meaning I will be building them while learning that thing
stay tune
๐ฅ4
I will be using this kinds of templates whenever I post -> I kinda like them ... maybe we could have another persona than the hacker like this one, maybe ... like minimalistic hand drawings ...
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