A heart of a knight

والله ودي الكل يناديني أم فهد

المشكلة مو إنه سوّى vibe coding، المشكلة إنه ترك الـ AI يبني بدون أي قواعد ثابتة. لو كان حاط ٣ ملفات md بسيطة في المشروع وخلاها مرفقة مع كل برومت، ٩٠٪ من اللي صار ما كان يصير: ملف يشرح فيه هيكلة المشروع.. وين يتكتب كل شي وش الممنوع تكراره. هذا لحاله يحل مشكلة "٣ طرق لنفس الشي". ملف ثاني للـ conventions.. أسماء الملفات، طريقة معالجة الأخطاء، متى تسوي ملف جديد ومتى تضيف على ملف موجود. هذا يقفل باب "ملف هنا ودالة مكررة هناك". وملف ثالث يكتب فيه القرارات المهمة وأسبابها، عشان الـ AI ما ينسى وش اتفقتوا عليه. وقبل أي ميزة جديدة، يقول له: "اقرأ الملفات الثلاثة، قول لي وين بتكتب الكود وليه، ولا تكتب سطر إلا بعد ما أوافق." صدق، الـ AI ما يطلع لك فوضى من عنده.. هو يعكس الفوضى اللي في سياقك. تعطيه سياق نظيف يطلع لك كود نظيف، تتركه على راحته يطلع لك اللي طلع لصاحبنا. vibe coding بدون قواعد = ديون تقنية تتراكم عليك كل يوم.

الحمد لله يوم جمييييل 🧡🧡🧡

lying is disgraceful

فيه فجوة كبيرة بين الاهتمام والإيرادات الفعلية، وخاصة في شركات الذكاء الاصطناعي. الشركات الكبيرة مستعدة تجتمع، تجرب المنتج، توقع pilots، أو حتى تعطي LOIs. لكن كثير من هذي الأشياء ما تتحول لإيرادات مدفوعة ومتكررة. هنا بعض المؤسسين يجمع كل هالإشارات الضعيفة في رقم واحد ويطلعه بشكل قوي. وهذا يخلق مشكلة مصداقية. الفكرة الأساسية إن المستثمر ما ينظر للرقم بس، ينظر لجودة الرقم

Day 168 " واطلبوا العلم لذات العلم لا لشهادات وآراب أخر "

الكونتيسة تستيقظ من جديد

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture. I opened the playlist at 2am and ended up watching three of them back to back. His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra. Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach. Here's the story almost nobody tells you. Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds. The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away. The decision quietly changed how the world learns math. For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb. Strang inverted the entire curriculum. He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood. His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct. The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room. For 62 years. The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet. Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos. His final lecture was in May 2023. The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out. His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right. That was it. No book promotion. No farewell speech. No legacy management. The man whose teaching is the foundation of modern AI just thanked the audience and went home. 20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge. The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free. The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

MyBio حيوية

لا تستقل من وظيفتك غداً، فالفواتير حقيقية ولا تُدفع بالشغف. الحل هو سرقة الهوامش. استيقظ قبل العالم بساعة. في هذا السكون، وقشرتك الجبهية مشحونة 100%، صلِّ بخشوع، ابنِ إمبراطوريتك، اكتب مشروعك، تعلم مهارة جديدة. أعطي لنفسك أولاً، ثم اذهب للشركة وامنحهم الباقي.

@NajwaGhamdi أسطورتي

أتطلع لهذا اللقاء بحول الله الاثنين القادم .. للمهتمين.

عدي الفردان كل شوي ينزل طقم أجمل من الثاني، قائمة الأمنيات قاعدة تتسع الله يستر

ملحوظة تسترعي الانتباه وهي قدرة بعض العلماء الأجلاء خصوصاً في العلوم البحتة (العويصة) على تبسيط المعارف المعقدة التي تخصصوا فيها. هذه مقابلة جميلة مع العالمة الأستاذة ميشيل دورتي المتخصصة في الرياضيات البحتة والتي طبقت ما تعلمته في رصد حركة الأجرام السماوية. podcasts.apple.com/us/podcast/des…

🎩

@viziandrei @DrDavidVernon According to llms, 📍 Inverness, in the Scottish Highlands (United Kingdom)

@DrDavidVernon Netherlands?

sunday morning writing bliss

🫶🏻🫶🏻🫶🏻

ههههههههههههههههههههههههههههههههه لهذا المحتوى مستحيل أترك تويتر

@babitybo المفروض بدل الحاسبة ديودرنت

بعدين تقولون هدايا الرجال صعبة

@mrmr_chan كان عذاب هههههههههههه

@JD__134 يا إلهي😂 رجعتي لي ذكريات.. كنت اشوف مسلسل ما له ترجمة عربية، فكنت اكتب النص الانجليزي في الوافي ويترجم ويتلعثم ويغص بالكلمات واضطر إني أعتمد على السياق 😂

اسوي نفس الشيء مع الوافي بس يعطيني معنى واحد مافي مرادفات

me as a wife: