Forwarded from ادعية
هذا الدعاء عظيم جداً
"اللهم إن كنت أفعل ذنبا يمنع فرحتي و استجابة دعائي فأغفره لي يا الله يارب طهرني من كل الذنوب وغير حالي لحال تحبني به يارب قدرتك أقوى من ضعف حيلتي ورحمتك أوسع من قلقي مد لي بالنور طريقي وقوِي قلبي اللهم وكلتك أمري وكلي ثقة بك وبأنك لن تخذلني يا الله."
"اللهم إن كنت أفعل ذنبا يمنع فرحتي و استجابة دعائي فأغفره لي يا الله يارب طهرني من كل الذنوب وغير حالي لحال تحبني به يارب قدرتك أقوى من ضعف حيلتي ورحمتك أوسع من قلقي مد لي بالنور طريقي وقوِي قلبي اللهم وكلتك أمري وكلي ثقة بك وبأنك لن تخذلني يا الله."
Forwarded from The Unseen Path 🌙
أشهد الله أنني نويت التوبة عن كل ذنوبي وزلاتي وكل معصية تغضبه . اللهم اغفر لي خطاياي وطهرني من ذنوبي كما ولدتني أمي واخرجني من الدنيا بلا ذنب ولا عيب . رب، إن كان هذا آخر أيامي في الدنيا ، فاجعلني من التائبين، وارزقني لقاءك وأنا خال من الذنوب، واجعل الجنة لي مستقرا ومأوى . اللهم اغفر لي خطاياي ولا تقبض روحي إلا وقد غفرت لي جميع ذنوبي.
Forwarded from مُحَمَّد
وإذا نظر إليها عَلِمَ بدلالة وجهها أنها من القمر، وإذا نظرَت هي إليه أعلمته بدلالة لحظها أنها من القدَر.
- الرافعي
- الرافعي
This is a long game so be ready for it, the only way you lose is by giving up.
𝐖𝐡𝐲 𝐒𝐭𝐮𝐝𝐞𝐧𝐭𝐬 𝐌𝐮𝐬𝐭 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐏𝐡𝐲𝐬𝐢𝐜𝐬 𝐚𝐧𝐝 𝐌𝐚𝐭𝐡 (𝐍𝐨𝐭 𝐉𝐮𝐬𝐭 𝐂𝐨𝐝𝐢𝐧𝐠) 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐞 𝐨𝐟 𝐀𝐈
In today’s rush to learn coding and prompt engineering, a deeper truth is getting lost — the future of AI belongs not just to 𝒄𝒐𝒅𝒆𝒓𝒔, but to 𝒕𝒉𝒊𝒏𝒌𝒆𝒓𝒔 who understand the underlying laws of nature and logic.
🧠 𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐭𝐫𝐮𝐭𝐡: Coding is a tool. But Physics and Mathematics shape the 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 𝐚𝐧𝐝 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 behind everything — from quantum computing to neural networks, robotics, and space tech.
🔍 𝐖𝐡𝐲 𝐏𝐡𝐲𝐬𝐢𝐜𝐬? Physics trains the mind to model reality. It’s not just about formulas — it’s about asking: 𝑾𝒉𝒚 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒉𝒂𝒑𝒑𝒆𝒏? 𝑾𝒉𝒂𝒕 𝒈𝒐𝒗𝒆𝒓𝒏𝒔 𝒊𝒕?
Whether it's motion, energy, entropy, electromagnetism, or quantum uncertainty — 𝐏𝐡𝐲𝐬𝐢𝐜𝐬 𝐛𝐮𝐢𝐥𝐝𝐬 𝐚𝐧 𝐢𝐧𝐭𝐮𝐢𝐭𝐢𝐯𝐞 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 𝐜𝐚𝐮𝐬𝐞 𝐚𝐧𝐝 𝐞𝐟𝐟𝐞𝐜𝐭. This is essential when you're training machines to replicate intelligent behavior.
Physics also fosters first-principle thinking — a trait seen in all great innovators from Newton to Elon Musk.
📐 𝐖𝐡𝐚𝐭 𝐏𝐚𝐫𝐭𝐬 𝐨𝐟 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐀𝐫𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐞 𝐨𝐟 𝐀𝐈? 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐫𝐨𝐚𝐝𝐦𝐚𝐩:
𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 – foundation of machine learning and deep learning (vectors, matrices, eigenvalues).
𝐂𝐚𝐥𝐜𝐮𝐥𝐮𝐬 – optimization, gradients, and change; core for training models (backpropagation).
𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 – understanding uncertainty, data distributions, and model evaluation.
𝐃𝐢𝐬𝐜𝐫𝐞𝐭𝐞 𝐌𝐚𝐭𝐡 – logic, graphs, combinatorics; key in algorithms and AI planning systems.
𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐥 𝐄𝐪𝐮𝐚𝐭𝐢𝐨𝐧𝐬 – modeling change in physics and real-world systems (used in simulations, robotics).
𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐓𝐡𝐞𝐨𝐫𝐲 – backbone of neural nets, compression, and entropy in AI models.
🚀 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐌𝐨𝐫𝐞 𝐓𝐡𝐚𝐧 𝐄𝐯𝐞𝐫 AI tools will increasingly automate coding itself. What can’t be automated is conceptual thinking, analytical reasoning, and problem modeling — all of which are nurtured through Physics and Math.
The next generation of AI leaders will be the ones who understand systems deeply — not just the syntax to manipulate them.
🧑🎓 𝐒𝐨 𝐭𝐨 𝐞𝐯𝐞𝐫𝐲 𝐬𝐭𝐮𝐝𝐞𝐧𝐭 𝐫𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐢𝐬: Don’t just learn how to build AI. Learn why AI works. Master Physics and Math — because they will help you see the world through a sharper, deeper lens.
The future belongs to thinkers, not just typers.
hashtag#Techypreneur hashtag#AI hashtag#Physics hashtag#Mathematics hashtag#Education hashtag#FutureSkills hashtag#Learning hashtag#STEM hashtag#CriticalThinking hashtag#Students hashtag#AIRevolution
In today’s rush to learn coding and prompt engineering, a deeper truth is getting lost — the future of AI belongs not just to 𝒄𝒐𝒅𝒆𝒓𝒔, but to 𝒕𝒉𝒊𝒏𝒌𝒆𝒓𝒔 who understand the underlying laws of nature and logic.
🧠 𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐭𝐫𝐮𝐭𝐡: Coding is a tool. But Physics and Mathematics shape the 𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 𝐚𝐧𝐝 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 behind everything — from quantum computing to neural networks, robotics, and space tech.
🔍 𝐖𝐡𝐲 𝐏𝐡𝐲𝐬𝐢𝐜𝐬? Physics trains the mind to model reality. It’s not just about formulas — it’s about asking: 𝑾𝒉𝒚 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒉𝒂𝒑𝒑𝒆𝒏? 𝑾𝒉𝒂𝒕 𝒈𝒐𝒗𝒆𝒓𝒏𝒔 𝒊𝒕?
Whether it's motion, energy, entropy, electromagnetism, or quantum uncertainty — 𝐏𝐡𝐲𝐬𝐢𝐜𝐬 𝐛𝐮𝐢𝐥𝐝𝐬 𝐚𝐧 𝐢𝐧𝐭𝐮𝐢𝐭𝐢𝐯𝐞 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 𝐜𝐚𝐮𝐬𝐞 𝐚𝐧𝐝 𝐞𝐟𝐟𝐞𝐜𝐭. This is essential when you're training machines to replicate intelligent behavior.
Physics also fosters first-principle thinking — a trait seen in all great innovators from Newton to Elon Musk.
📐 𝐖𝐡𝐚𝐭 𝐏𝐚𝐫𝐭𝐬 𝐨𝐟 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐀𝐫𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐠𝐞 𝐨𝐟 𝐀𝐈? 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐫𝐨𝐚𝐝𝐦𝐚𝐩:
𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚 – foundation of machine learning and deep learning (vectors, matrices, eigenvalues).
𝐂𝐚𝐥𝐜𝐮𝐥𝐮𝐬 – optimization, gradients, and change; core for training models (backpropagation).
𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 – understanding uncertainty, data distributions, and model evaluation.
𝐃𝐢𝐬𝐜𝐫𝐞𝐭𝐞 𝐌𝐚𝐭𝐡 – logic, graphs, combinatorics; key in algorithms and AI planning systems.
𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐥 𝐄𝐪𝐮𝐚𝐭𝐢𝐨𝐧𝐬 – modeling change in physics and real-world systems (used in simulations, robotics).
𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐓𝐡𝐞𝐨𝐫𝐲 – backbone of neural nets, compression, and entropy in AI models.
🚀 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐌𝐨𝐫𝐞 𝐓𝐡𝐚𝐧 𝐄𝐯𝐞𝐫 AI tools will increasingly automate coding itself. What can’t be automated is conceptual thinking, analytical reasoning, and problem modeling — all of which are nurtured through Physics and Math.
The next generation of AI leaders will be the ones who understand systems deeply — not just the syntax to manipulate them.
🧑🎓 𝐒𝐨 𝐭𝐨 𝐞𝐯𝐞𝐫𝐲 𝐬𝐭𝐮𝐝𝐞𝐧𝐭 𝐫𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐢𝐬: Don’t just learn how to build AI. Learn why AI works. Master Physics and Math — because they will help you see the world through a sharper, deeper lens.
The future belongs to thinkers, not just typers.
hashtag#Techypreneur hashtag#AI hashtag#Physics hashtag#Mathematics hashtag#Education hashtag#FutureSkills hashtag#Learning hashtag#STEM hashtag#CriticalThinking hashtag#Students hashtag#AIRevolution
"only the disciplined are free in life
if you are undisciplined you are a slave to your moods, you are a slave to your passions."
- Eliud Kipchoge
if you are undisciplined you are a slave to your moods, you are a slave to your passions."
- Eliud Kipchoge