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@devilstrader
little big adhd . Still couldn't learn English
india Katılım Aralık 2022
2.7K Takip Edilen281 Takipçiler
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My one year old drinks a smoothie every single day with raw egg yolks, kefir, royal jelly, colostrum, bee pollen, and beet juice.
He goes feral for it.
Training his palate now to actually crave good foods.
This is so he won’t be a processed food baby like me trying to kick a cheese it addiction at age 25.


English
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IF YOU'RE ALWAYS TIRED:
1. Magnesium (evening): 300–400 mg. Supports energy production, sleep, and muscle relaxation.
2. Vitamin D (morning): 2,000 IU. Linked to better energy and mood when correcting deficiency.
3. Vitamin B12 (morning): 500–1,000 mcg. Especially important if vegan, over 50, on PPIs/metformin, or just chronically tired.
4. CoQ10 (morning with fat): 100–200 mg. May help if you’re on a statin or have confirmed low levels contributing to fatigue.
5. Iron (morning, with vitamin C): if blood tests show deficiency (ferritin < 50 ng/mL). Consult a doctor - taking too much can be harmful.
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How To Win In Corporate Life!!!!!!!
1. Speak less in meetings.
2. Deliver before deadlines.
3. Document every task.
4. Learn stakeholder management.
5. Stay away from gossip.
6. Build internal reputation.
7. Ask smart questions.
8. Be solution oriented.
9. Master emotional control.
10. Keep learning outside job role.
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A physics PhD spent 4 years training an AI to predict the stock market. Last week he raced it against 10,000 monkeys throwing darts at a dartboard.
The monkeys won by a landslide:
→ AI returned 0.06%
→ monkeys averaged 1.13%
→ best monkey hit 214%
→ the PhD's verdict: "honestly, I don't think it works"
But the wildest part is the math hidden inside.
A 0.3% return per day turns 10k into half a billion in 10 years. That's the edge Citadel and Jane Street spend billions hunting for, and a monkey just got it for free.
Bookmark & watch tonight after work, you'll never look at AI trading hype the same way again.
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The CEO of Citadel started with $265K from his grandmother and turned it into over $90 billion
This 46-minute interview explains how he nearly went bankrupt, rebuilt, and became the most profitable hedge fund in history
Bookmark & Watch it. Then read the article below a step-by-step guide to building your own trading algorithm on Polymarket ↓
Movez@0xMovez
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Fun fact: inconsistent reinforcement is one of the strongest ways to create attachment.
It's the same psychological pattern used in gambling unpredictability keeps you hooked.
quote@itsmubashi
Hit me with the most interesting facts
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30 agents every AI Engineer must build.
This is the most comprehensive and practical book on AI Engineering that I've ever seen.
I can't think of a single use case that they didn't cover here:
1. The autonomous decision-making agent
2. The planning agent
3. The memory-augmented agent
4. The knowledge retrieval agent
5. The document intelligence agent
6. The scientific research agent
7. The tool-using agent
8. The agentic workflow system
9. The data analysis agent
10. The verification and validation agent
11. The general problem solver agent
12. The code generation agent
13. The security-hardened agent
14. The self-improving agent
15. The conversational agent
16. The content creation agent
17. The recommendation agent
18. The vision language agent
19. The audio processing agent
20. The physical world sensing agent
21. The ethical reasoning agent
22. The explainable agent
23. The healthcare intelligence agent
24. The scientific discovery agent
25. The financial advisory agent
26. The legal intelligence agent
27. The education intelligence agent
28. The collective intelligence agent
29. The embodied intelligence agent
30. The domain-transforming integration agent
I also read 50 Algorithms Every Programmer Should Know by Imran. Same vibe.
Here is the Amazon link: amzn.to/4t5ystE

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A 13 year old kid from Shenzhen spent his entire winter break in his bedroom while every classmate was outside playing. He sat in front of a MacBook Air for 21 days straight watching Claude tutorials and trying to copy what he saw on screen.
By the end of the break he had built his own AI agent that solves Codeforces problems in 45 seconds each. He uploaded the whole thing to a public GitHub repo on the last day of vacation. README in broken English. Description: ai agent solves codeforces fast for me. Watched it sit at zero stars. Went back to school the next morning.
While the West argues about whether AI will replace coders, China is already letting 13 year olds publish working agents on GitHub between school terms. He thought he was building a homework helper. He just showed too much.
Six months later his computer science teacher opened his GitHub profile to check on a class assignment. The repo the kid had pushed at the end of winter break had 3,100 forks. The teacher clicked through to one of the forks and found a wallet sitting at $4,526,176.
432614799197. $4,526,176 profit. Joined January 2026.
→ #auVuInb" target="_blank" rel="nofollow noopener">polymarket.com/profile/%40432…
A 27 year old developer in Singapore had cloned the kid's repo, swapped the Codeforces plugin for a sports betting one, pointed Claude at Asian bookmaker odds and walked away. Six months of green logs later he posted the profit curve to a small dev forum with one line of caption: I did not write a single line of this code. The original repo was a kid's homework project.
Dev Twitter exploded. 180K views in 24 hours. Everyone asking for the GitHub link. Everyone wanted to know who wrote the original.
The Singapore guy told them. That was the mistake.
Pause at 0:08 of his demo video. Look at the contributor name in the top right of the GitHub page.
That contributor is 13 years old.
The comment section turned into a detective board. Someone slowed the demo to 0.25x. Someone else opened the original repo and pulled the contributor history. A third guy traced the contributor's other commits and found a school programming contest entry from Shenzhen Number 4 Middle School with the same username.
The kid had won third place. The judges wrote that his project was creative but had no real world application.
The Singapore guy is still running the script. 4,548 trades since January. All sports. Across six leagues. NFL, Premier League, Champions League, La Liga, Ligue 1, NHL.
Biggest single win on the wallet: $1.5M. From one football match.
The repo is not the product. The repo is the noise.
The real engine is what the kid built and the judges missed. Asian bookmakers post lines 2 to 3 hours before Western platforms update. Shanghai moves before London. Beijing moves before New York. By the time American traders open their laptops the gap is already closed. The Claude agent catches every one of them while the West is still asleep.
The kid wrote the script over winter break. The Singapore guy cloned it for free. The market gave back $4.5M.
The Singapore guy deleted his post when he realized what he had revealed. Too late. The repo had already been forked 3,100 times. Someone in the kid's school recognized the username.
The kid still has not made a single dollar from the script. The terms of service on his GitHub account say he is not allowed to sell anything. He is too young.
The teacher who opened the profile to grade homework closed the laptop and called the principal instead.
Before the post got buried, one reply got pinned: the smartest builder in this story is the one who is not allowed to use what he built.
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OpenClaw 现在可以抓取任何网站而不被屏蔽——零机器人检测,原生绕过 Cloudflare,比 BeautifulSoup 快 774 倍。
无需维护选择器。无需变通方案。只需数据。
这是不公平的优势,而且完全开源。
github.com/D4Vinci/Scrapl…

中文
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Grant Sanderson BUILT THE TOOL THAT MAKES MATH LOOK LIKE ART
it's called Manim built by the mind behind 3Blue1Brown
every smooth, beautiful math visual you've seen there..? written in code
here's what actually happened though
he wasn't trying to change math education
he was just annoyed
the tools were bad...the visuals were ugly... the math deserved better
so he did what engineers do when nothing fits
he built it himself
python, opengl...late nights...no audience
just a guy who had a picture in his head & needed a way to put it on screen
then the internet found him
the backprop, the attention mechanism, the transformers, the gradients
the entire mathematics the AI world runs on
he made it look simple using a tool he built in his room
ml engineers, math students, confused undergrads at 2am
all looking for the same thing
someone to make the hard stuff feel like human & Grant did exactly that not by simplifying the math but by making you see it
that's the thing about the best tools
they don't come from product teams
they come from someone who couldn't find what they needed
`pip install manimgl`
→ github.com/3b1b/manim

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