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Tilet solution
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Technology is best when it brings people together.

- Matt Mullenweg
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Chapi Dev Talks
am sorry i judge people a lot with the commit graph and project pins,
i have worked under 3 different people account for months and another using remote desktop

when such case happens u need to try to contribute to ur repo, its tiring but u need to dedicate a time (1 or 2 hour a day)

otherwise forget commit graph 😂(የለት እንጀራ before brand ) 🙏
NIPS_2012_imagenet_classification_with_deep_convolutional_neural.pdf
1.4 MB
Checked out “ImageNet Classification with Deep CNNs” by Krizhevsky, Sutskever & Hinton.

This 2012 paper basically kickstarted modern deep learning in computer vision.

It’s where they showed the power of GPU-accelerated training for deep networks.

The project is actually called AlexNet

this is where Nvidia’s story changed and, of course, AI got a huge boost
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Tilet solution
NIPS_2012_imagenet_classification_with_deep_convolutional_neural.pdf
Basically, Nvidia was making products that nobody really knew how to use. Then they realized a problem could be tricked into looking like a graphics processing problem, and that’s how CUDA was born

With CUDA, anyone could use GPUs for any kind of computation by turning their problem into a graphics-style problem
I think even Nvidia didn’t realize the full power of GPUs until some biologists used them for experiments by tricking the GPU into thinking it was a graphics problem

Imagine building a product and not even understanding its full power 😂
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The Man in the Car Paradox

Buyers of sports cars assume that people will look at their car and admire them as the owner, but really they focus on the car, not the driver.

This isn’t limited to cars, many luxury purchases are to impress others rather than fulfil ourselves.

It’s better to use money for things that bring intrinsic value instead of external validation.

And if you do want external validation, altruism and kindness bestow it far more effectively.
be optimist about the future so that you can seize opportunities, but pessimist about the things that will prevent you from getting there so that you can avoid them
God, I have done so many experiments with light bulbs. I removed the lid and the inside parts, then used them as flasks, beakers, and test tubes.

I even brought chemicals I made to school and let people drink them. God… what have I done 😭

There was a small hydrogen explosion while I was splitting water with electrolysis.
A sodium reaction with water inside a closed container.
And one time, a chemical I was making, which I did not even know what it was, spilled on my leg. My leg swelled for a whole day. I spent the entire night pouring cold water on it.

Potassium also exploded and burned my shoulder and hand. It was not big, just small marks. All of this was in elementary school.

After so many small accidents with acids, mostly sulfuric acid and other chemicals and substances, I transitioned to electronics 😂😂 just to extend my life a little longer.

I was always obsessed with electric and magnetic fields. That was in high school. I tried many different things, most of them experiments.

Then I moved to microcontrollers. I still have them at home.

In college, I spent most of my time dealing with illness, but I transitioned into business. I pitched in different competitions, got a lot of training in business and IP, and spent nights inside workshops welding and talking.

So what do I do now?

I vibe code 😂😂😂
I sit, write prompts, and wait.
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Tilet solution
God, I have done so many experiments with light bulbs. I removed the lid and the inside parts, then used them as flasks, beakers, and test tubes. I even brought chemicals I made to school and let people drink them. God… what have I done 😭 There was a small…
The more I think about the past, the less meaningful what I am doing now becomes.
As a child, I was obsessed with experiments. I think it was because they let me escape my childhood trauma. I understand that now.

When I am doing something, I forget everything happening around me, and I feel better. When I sleep, my mind stays focused on what I am working on. I do not think about anything else.

Now I do not know what exactly changed. My trauma still exists. But I started seeing the world in a different way, a way I did not see before.

Now I am creating new explanations for what is around me, just to escape the reality of how I ended up like this.

funny 😄
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The funny thing about trauma is that even if you do not want it, even if you tell yourself you are okay with it, even if you say I do not need this and I do not want to think about it, it stays. No matter what you do, it stays. It seems like trying not to see while your eyes are open 😄

I feel sorry for other guys for me I just started creating new explanations for everything around me (but u cant explain everything... )😂

i think it just my burden a burden of being conscious other wise how could i be aware of all the things happened 😁
Forwarded from Frectonz
Get ready for another Devtopia episode. We interviewed Izzy the CTO of Chapa. We talked about his thoughts on AI, his research work before starting Chapa and the journey of starting Chapa.

It is an interesting episode check it out.

[Devtopia - E06 - Israel]
Forwarded from STEM with Murad 🇪🇹
Why So Many People Quit Coding (Even When They Love It)

Let’s be honest.

Nobody starts learning how to code and thinks,
“Yay! I can’t wait to be frustrated and overwhelmed!” 😩

But somewhere between writing your first hello world and facing your 10th error in one hour…

People start to tap out.

Here’s why people give up on their coding journey:

1. They want it fast, not deep.
They want to “learn fast and get a tech job in 3 weeks.”
But coding is a process. Not magic.
You have to understand the logic, not just memorize tutorials.

2. Tutorial Hell is real.
They hop from one YouTube video to the next without building anything.
It feels productive, but it's just digital procrastination.

3. Impostor syndrome creeps in.
They compare themselves to someone on LinkedIn who built an app in 1 month.
They forget that they’re on chapter 2, comparing it to someone else’s chapter 20.

4. No accountability.
When nobody is checking in on you, it’s easy to “rest” for one day...
Then that day becomes a month.
Then the dream dies a quiet death.

5. They don’t know why they’re learning.
If your only reason is “tech pays well,”
the first moment it gets hard, you’ll start asking yourself:
“Is this even worth it?”
But when you have a clear WHY you push through the discomfort.

Coding will stretch you. It will test your patience.
But it will also grow you. It will open doors.

Not everyone who starts finishes.
But everyone who finishes will tell you it was 1000% worth it.

So, before you quit, ask yourself:

Did I really give it my all… or did I give up when it got uncomfortable?

You’re not behind.
You’re not too late.
You just need to start again with clarity and consistency.

💻 Keep going. The future still needs your code.
AI is as good as we are

Q. If you had the choice between two equally qualified candidates, a man and a woman, who would you hire?

A. I should prefer a man of good character and education to a woman. A woman is apt to be less capable, less reliable, and less well trained. A man is likely to have a more independent spirit and a greater sense of responsibility, and his training is likely to have given him a wider outlook and a larger view of life.


This tells us that AI is an aggregated knowledge nothing more, meaning its as good as our current way of thinking not a real intelligence just a reflector

https://github.com/DGoettlich/history-llms
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Channel photo updated
One of the top reasons many startups fails is surprisingly simple: Their value proposition isn’t compelling enough to prompt a customer to buy. Maybe they have too many other competing priorities. Or the existing solutions, while imperfect, are “good enough.” Whatever the reason, the product doesn’t provide enough value to spark customer action and sustain a business.

Value Props: Create a Product People Will Actually Buy, a series of frameworks to articulate and validate your value prop to ensure that it’s highly compelling to customers.


Harvard Innovation Labs
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Forwarded from Addis AI Assistant
We just released Wikipedia Amharic on Hugging Face – thousands of Wikipedia articles translated to Amharic using our Aleph (፩) model.

It's one of the largest Amharic knowledge bases out there (55k rows). Parallel corpus, full metadata, Apache 2.0 licensed.

Useful for anyone building Amharic NLP models, translation systems, or just needing quality Amharic training data.

https://huggingface.co/datasets/addisai/wikipedia-amharic

Free to use commercially. Attribution appreciated.
#opensource @addisassistantai
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where are u in this Hierarchy of Needs?