Mazen Alotaibi
@ma7dev
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AI Staff Engineer, founding team @deepforai | @cursor_ai ambassador | ex-mle @malaa_tech | @pytorch ambassador award winner 2023
Riyadh
Joined April 2023
You can now design directly in your codebase. Select elements, modify them visually, and Cursor writes the code.
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tldr: 2 guys with a laptop removed ~70% of the world’s compute bill for free, cuz why not
You can now train LLMs 3× faster with no accuracy loss, via our new RoPE and MLP kernels. Our Triton kernels plus smart auto packing delivers ~3× faster training & 30% less VRAM vs optimized FA3 setups. Train Qwen3-4B 3x faster on just 3.9GB VRAM. Blog: https://t.co/j3HpsmzrCw
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اذا جامعتك تبغى توثق لطلابها، خلوهم يتواصلون معي وان شاء الله بنلقى حل 🫡🫡
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على حد علمي، جميع طلاب الجامعات السعودية وأغلبية جامعات الدول العربية ما يقدرون يستعملون العرض لان مافي طريقة رسمية لإثبات أن الطالب هو يدرس بالوقت الحالي
فرصة مذهلة للطلبة 👀🔥 منصة Cursor قدّمت عرض سنة مجانية بالكامل لطلاب الجامعات تخيّل تمتلك بيئة برمجة ذكية تساعدك تكتب كود، تصلّح أخطاءك، وتبني مشاريعك بسرعة خيالية إذا عندك بريد جامعي أو إثبات دراسة… افتح الرابط، وفعّل العرض https://t.co/AColNk2Dh8 تابع طريقة التسجيل فيها👇
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من الخوارزميات الأساسية وراء تدريب نماذج الذكاء الاصطناعي الحديثة مثل DeepSeek و GPT-5 و Qwen هي خوارزميات التعلم التعزيزي (RL)، خصوصًا خوارزميات مثل PPO و GRPO ورغم انتشار الحديث عنها، فهم الفرق بينهم أو كيف يتعلّم الوكيل فعليًا داخل البيئة يظل صعب ومعقد لهذا قدّم فريق
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@shannmcnicholl We absolutely do not, never have, and never will. No customer details are ever shared or available externally. I have previously build 2 email products and it is not uncommon for marketing services to enumerate and email in mass.
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Introducing Mythos – AI native Reader that actually understands what you’re reading. Highlight a passage → ask a question → get an answer, without breaking flow. Books, PDFs, research papers. All inside one app.
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1. plan: opus 4.5 2. impl: composer-1 3. review: in editor
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🆕Building Cursor Composer https://t.co/anZk0tLiiI
@leerob joined us for the first time to complement @srush_nlp's popular talk on the technical journey behind Cursor Composer, @cursor_ai's first full fledged coding LLM!
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A must-read → Deep Research: A Systematic Survey Covers: - A 3-stage roadmap for deep research systems - Deep research vs. RAG - Key components: query planning, information acquisition, memory management, answer generation - Optimization: prompting, supervised fine-tuning,
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If you’re an "ML Engineer" and you think “Transformer” just means stacking encoder–decoder blocks and calling it a day, you’re missing the actual mechanism that makes modern AI work. Concept 16: The Transformer Is a Math Engine, Not a “Model Architecture "Most people can
People will write entire ML pipelines based on the transformer model but fold when you ask them how the transformer actually works.
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Cursor 2.1 is now available! Plans now have an interactive UI for answering clarifying questions. Also new: in-editor code reviews, instant grep, and improved browser use.
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