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Mazen Alotaibi Profile
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
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@ma7dev
Mazen Alotaibi
2 years
yay! thanks @marksaroufim 🙏🙏
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@ericzakariasson
eric zakariasson
3 days
if you're working with web, you should try out the visual browser editor in cursor. it's like wysiwyg on a next level. open browser and start jamming
@cursor_ai
Cursor
3 days
You can now design directly in your codebase. Select elements, modify them visually, and Cursor writes the code.
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@cursor_ai
Cursor
3 days
You can now design directly in your codebase. Select elements, modify them visually, and Cursor writes the code.
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@Yampeleg
Yam Peleg
4 days
tldr: 2 guys with a laptop removed ~70% of the world’s compute bill for free, cuz why not
@UnslothAI
Unsloth AI
5 days
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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@ma7dev
Mazen Alotaibi
4 days
اذا جامعتك تبغى توثق لطلابها، خلوهم يتواصلون معي وان شاء الله بنلقى حل 🫡🫡
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@ma7dev
Mazen Alotaibi
4 days
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
@KhaledHammadi32
Khaled Hammadi 🇩🇿 🇵🇸
4 days
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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@ryolu_
Ryo Lu
4 days
put your models in the ring and let Cursor call the winner – ship the best idea
@donvito
Melvin Vivas
4 days
Cursor just dropped the LLM Council for coding 🤯🤯🤯
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@ma7dev
Mazen Alotaibi
5 days
wow!!!
@MistralAI
Mistral AI
6 days
Our next-generation coding model family Devstral 2 is available in two sizes: Devstral 2 (123B) under a modified MIT license, and Devstral Small (24B) under Apache 2.0. Both SOTA, open-source, free to use, and available now via our API.
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@Sa4d_k1
Saad
9 days
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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@milichab
Andrew Milich
10 days
@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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@ma7dev
Mazen Alotaibi
11 days
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@ma7dev
Mazen Alotaibi
11 days
great video and channel https://t.co/spq3oh5xR7
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@iSamiXG
Sami
12 days
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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@ericzakariasson
eric zakariasson
12 days
1. plan: opus 4.5 2. impl: composer-1 3. review: in editor
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@aiDotEngineer
AI Engineer
12 days
🆕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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@leerob
Lee Robinson
13 days
Cursor Cafe in Toronto and Waterloo this weekend!
@KlausCodes
Satyam
14 days
My entire feed is full of Cursor Cafe Toronto I love it
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@ma7dev
Mazen Alotaibi
13 days
عجبتني اخر نقطه 👀
@mokatia
Mostafa
14 days
في رحلة هجرتنا من Vercel بسبب الموضوع المشهور، أخذنا فترة انتقالية قصيرة مع Replit والان استقررنا مع GCP رأينا ان Vercel كان اسهل منصة في التعامل والتشغيل ولكن كمان كانت محدودة. و Replit رغم قدراته، لكن يحتاج معه محفظة فلوس لان كل كلمة وكل سؤال وكل تشغيل يسحب فلوس حتى بدون
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@TheTuringPost
Ksenia_TuringPost
15 days
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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@chastronomic
chastronomic
23 days
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
@prajdabre
Raj Dabre
23 days
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_ai
Cursor
23 days
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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