Adnane Miliari #nanodev

136 posts

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Adnane Miliari #nanodev

Adnane Miliari #nanodev

@nanodev_ma

Software Engineer || Backend Developer || Moving slowly but surely ! 🐢

Morocco Beigetreten Şubat 2025
393 Folgt54 Follower
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Adnane Miliari #nanodev
Adnane Miliari #nanodev@nanodev_ma·
Three years ago, I started a microservices demo project. Last month, I noticed it had grown to 80+ stars and multiple forks. That was my sign to keep building. Just shipped some major updates: 👇🧵
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التميمي
التميمي@altmemy199·
أصحاب الماك احتفلوا 😍 بعد 23 سنة تخيلوا أخيراً Notepad++ نزل على macOS 😎 مطوّري المشروع يقولون إن المحرر صار له إصدار أصلي كامل على macOS يعني خلاص ما يحتاج تشغله عن طريق Wine أو CrossOver. الإصدار فيه كل المميزات الأساسية ويدعم أكثر من 130 لغة للواجهة. وطبعاً مجاني ومفتوح المصدر! notepad-plus-plus-mac.org/download/
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Siva
Siva@sivalabs·
The cute bot has a point 😋
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Siva
Siva@sivalabs·
Excellent. OpenAI and Anthropic are competing in a way that soon there will be nothing left for us to do. But to use these amazing tools, I need money to buy subscriptions. For money, I need a job. If you take away all the jobs(if not all, majority of them) then we won't have jobs and no money. So, leave few things for us, please.
OpenAI@OpenAI

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.

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Cursor
Cursor@cursor_ai·
Composer 2 is now available in Cursor.
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Ronak Malde
Ronak Malde@rronak_·
I think people are understating Cursor’s technical achievements for Composer 2. Small team of 40 researchers, doing large scale mid-training and RL at a scale that no startup has done before, beat Opus 4.6 in Terminal-Bench. Strong work needs the strong foundations of the Kimi base model, but it’s the post training that makes this model frontier.
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Kimi.ai@Kimi_Moonshot

Congrats to the @cursor_ai team on the launch of Composer 2! We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support. Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.

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Abdelati Elasri
Abdelati Elasri@kaizendae·
@bernoussama claude opus4.6 slightly better on claude code, but not sure if the diff comes from claude/opencode rather than the models themselves
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Adnane Miliari #nanodev@nanodev_ma·
@enlamp Level 1 — JWT authentication (On the SecurityConfig class) Level 2 — Role-based access (PreAuthorize -> @PreAuthorize("hasRole('app_user') or hasRole('app_admin')")) ) Level 3 — User identity in AI context (screenshot)
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djelal e5z
djelal e5z@enlamp·
@nanodev_ma exciting! would be interesting to see how you solve authn/authz for the AI layer. keeping an eye an this. ✍️
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clem 🤗
clem 🤗@ClementDelangue·
Looks like it’s confirmed Cursor’s new model is based on Kimi! It reinforces a couple of things: - open-source keeps being the greatest competition enabler - another validation for chinese open-source that is now the biggest force shaping the global AI stack - the frontier is no longer just about who trains from scratch, but who adapts, fine-tunes, and productizes fastest (seeing the same thing with OpenClaw for example).
Lee Robinson@leerob

Yep, Composer 2 started from an open-source base! We will do full pretraining in the future. Only ~1/4 of the compute spent on the final model came from the base, the rest is from our training. This is why evals are very different. And yes, we are following the license through our inference partner terms.

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Adam Louly
Adam Louly@LoulyAdam·
AI bill for this week ... this is getting out of hand.
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Bruno Souza
Bruno Souza@brjavaman·
"We have been using Java to run our AI models for almost a decade now" @Uber
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Mohamed Gaber
Mohamed Gaber@mhgaber·
أندريه كارباثي "واحد من أهم الأسماء في مجال الAI، واشتغل على تطوير OpenAI" نشر مشروع بيقيّم كل وظيفة على مقياس من 0 ل10 حسب قد إيه الذكاء الاصطناعي ممكن يستبدلها. - جمع كل الـ 342 مهنة من بيانات مكتب إحصاءات العمل - دخل كل واحدة على نموذج لغوي باستخدام معيار تقييم تفصيلي - عمل خريطة تفاعلية، حجم المربع فيها = عدد الوظائف، واللون = قد إيه الوظيفة دي متعرّضة للذكاء الاصطناعي أهم نقطة في التقييم بتاعه كان لو ناتج الشغل كله رقمي بطبيعته، والوظيفة ممكن تتعمل بالكامل من البيت، يبقى مستوى التعرض للذكاء الاصطناعي عالي تلقائيًا المقياس كان كالتالي: 0–1: عمال الأسطح، عمال النظافة 4–5: ممرضين، بيع بالتجزئة، أطباء 8–9: مطوري برمجيات، مساعدين قانونيين، محللي بيانات 10: ناس بتفرّغ التقارير الطبية صوتيًا وفي الآخر كان متوسط تقييم الذكاء الاصطناعي لكل ال342 مهنة كان 5.3 من 10 النظام بالكامل مفتوح المصدر، من سحب البيانات، لتقييم النموذج، للتصميم البصري، كله متاح t.co/iWIh8qhvdu
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