trick بسيط
إذا تسوّق لمشروعك بأكثر من مكان، خل لكل قناة رابط تتبّع خاص فيها. نفس الصفحة، بس غيّر المصدر في الرابط بـUTM.
في أداة التحليلات، حدّد وش تبي تقيس، مثل تسجيل أو طلب. بعدها قارن كم زيارة جابت كل قناة وكم منها تحوّل لنتيجة تهمك مثل ايرادات. ممكن القناة اللي جابت زيارات أقل تجيب لك عملاء أكثر.
هل أنا الوحيد اللي متنرفز من أزرار التطبيقات في ريموتات التلفزيون؟
يعطونك أزرار ثابتة لـNetflix وPrime Video وغيرها. وبنفس الوقت ما تقدر تغيرها لتطبيقات تستخدمها يوميًا فعلا.
مافيه مشروع مفتوح المصدر يخليها قابلة للتخصيص؟
أول نظرة على سطر ✍️
أشتغل على منصة للنشرات البريدية، مصمّمة للعربي من البداية. تكتب نشرتك وترسلها لقرّائك، وين ما كانوا.
من أول سطر، إلى بريد قرّائك.
satrmail.com/
أهلًا وسهلًا
بنطلق سطر للي يكتبون نشرات بريدية أو ودهم يبدؤون وحدة. سطر أرخص من المنافسين بأكثر من 60٪
إذا ودك تكون من أول الناس اللي يجربونه مجانًا قبل الإطلاق وتشاركنا رأيك، ارسل لي على الخاص 📩
الـopen banking عندنا للحين متأخر. حتى تطبيقات مثل @getDrahim أشوف الربط عندهم محدود ومب متكامل مع كل البنوك والمسأله كلها ترجع للمصرفية المفتوحة.
عطني agent يشوف حساباتي كلها ويقول لي وين راحت فلوسي، وخل الباقي علي وعليه.
إذا وصلنا لهالمرحلة صدقني فلوسي ملك للـAI مب لي بعد اليوم
شخصين من OpenAI اشتغلوا مع Astra على جهاز تتكلم من خلاله مع Codex، وخلصوا تصميمه بأقل من أسبوع كمشروع جانبي.
المودل صمّم الهيكل والدائرة الإلكترونية والواجهة، وكتب البرمجة. والمصنع طلّع نماذج أولية بأقل من شهر.
كان المتعارف عليه إن أوزان النماذج تنتج من التدريب، وإن البشر ما يقدرون يفهمونها أو يعدّلونها يدويًا؛ إذا تبي تغيّر النموذج، لازم تعيد تدريبه.
باحثين من MIT خلّوا GPT-6 Astra يعدّل أوزان نموذج ثاني، بدون إعادة تدريب.
عدّل 0.016٪ منها، وخفّف مشكلة تكرار التفكير، وارتفعت نتيجته في اختبار رياضيات من 7.9٪ إلى 48.1٪.
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
كم اشتكيت من هذي المشكله!
كلود وغيرها من التطبيقات تتيح لك صنع أفضل تقنية بأفضل واجهة مخصصة لك ولكن عاجزة عن تخصيص تجربتك في تطبيقها!
ديب سيك الابطال جابوا حل يمديك تصنع واجهة مخصصة لك داخل تطبيقهم
كارباثي طفش من اقتراحات اليوتيوب، فبنى له بديل في الويكند بساعتين تقريبًا.
خلّى Claude يمر على 43 مليون تعليق في @hackernews خلال آخر 20 سنة، ويطلع المقاطع اللي الناس تكرر توصّي فيها.
النتيجة 6,454 مقطع، جمعها في موقع اسمه HackerTube.
كل هذا بـ Opus 5.5
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org/
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
قراءة الكتب ما تناسبني، لذلك بديت أتطلع للكتب الصوتية
لكن يوم شفت Audible اكتشفت إن الاشتراك يعطيك كتاب واحد بالشهر بس
هل فيه تطبيق أو منصة ممتازة للكتب الصوتية ومكتبتها كبيرة؟ وش تستخدمون؟
سوف تبقى معلقة
Our TPUs just phoned home... from space.
ICYMI, on October 1, we sent four TPUs into orbit to test whether our AI hardware could operate in space. The initial goal was to see if our chips could turn on, process a prompt, and transmit a response back to Earth.
This week, we got our answer. ✨
This milestone brings us one step closer to understanding if space-based compute is possible. We’re sending two more TPU-equipped satellites to orbit in 2027 for our next milestone.
Watch this space 👀 and learn more about the first milestone of our long-term moonshot with Project Suncatcher ↓
مقارنة أسعار الموديلات لحالها صارت مالها معنى في رأيي
الأهم كم يكلفك المودل لين يخلص الشغله كامله؟ وكم مرة تحتاج تتدخل وتصلح وراه؟
لأن المودل الأرخص لايعني أرخص إذا كان يحتاج تدخل وأوامر أكثر حتى ينجز المهمة. لاتحاسبني على التوكنز بل حاسبني على المهمة ياعزيزي سام.
-فاصل آخر الليل-
ماذا لو تم ضخ أموال أكثر في البحث والتطوير في علم الأعصاب؟ ماذا سوف ينتج؟ ماذا لو تم تمكين الذكاء الاصطناعي من عقل الإنسان وتم دمج هذي القوتين العقلية؟
Neurotech is Humanity’s Next Frontier!
I’ve been investing in neurotech since 2021 and working with teams building BCIs, NeuroAI, and connectomics. It now feels like AI did in ~2019.
We are entering an extraordinary era: neurotech already restores functions, it can enhance our capabilities, and will evolve what it means to be human.
PLC Neurotech is the fund backing the extraordinary founders and defining companies of this booming industry.
كالشي، أو في رواية أخرى: «كل شي».
طارق منصور، لبناني الأصل، كان من مؤسسي @Kalshi، وهي منصة تراهن فيها على الأحداث.
وبما إن @Polymarket تأخرت بدخول السوق الأمريكي، قدرت Kalshi تسيطر على الحصة الأكبر هناك، وارتفعت قيمة استثمار YC الأولي فيها لأكثر من 10,000 ضعف من 2019.
المجد للفنتشر كابيتال😂😂
Kalshi just raised an additional $1B, valuing the company at $40B. This will help us expand into stocks, compute, indices, and institutional.
Tomorrow marks 8 years since we got accepted into YC and the journey began.
The odds of a kid from Lebanon getting here were pretty low.
Growing up there was great, but very challenging. We went through war. We had bombs explode in front of my house. I watched brilliant people’s lives destroyed for reasons beyond their control.
Lebanon is an unpredictable country. That unpredictability made it hard to plan for success. And yet despite it all, my mom sacrificed everything to give me and my brother the chance to go back to the US.
I found my refuge in two things: anime and math. Especially math.
I loved math because it calmed me. It was the opposite of unpredictable: clear, deterministic, orderly, and consistent. The proof is either right or wrong. I find that elegant and beautiful.
I was lucky.
I made it to my dream school, MIT (largely thanks to my mom), and my love for math quickly translated to a love for statistics, probability, and markets.
I love markets for a lot of the same reasons. Their incentives are clear: you get rewarded for being right and for pursuing knowledge. They are effective weighting machines for people’s opinions. They provide an incentive to be truthful, because they separate good information from bad information. They let people challenge the consensus and be rewarded for being right.
IMO, Hayek, Surowiecki, Hanson, Tetlock were the founding fathers of prediction markets. The more I read them, the more obsessed I got with the idea of applying market-based pricing to more things.
Markets bring rigor and critical thinking to more questions. And in an increasingly polarized and information-positioned word, I believe we need that more than ever.
Markets would also let people predict and manage more things outside of their control. And the world was becoming increasingly more unpredictable, and more like Lebanon, not less.
That love for markets got Luana and me to build Kalshi.
At first, it was mostly an idea we couldn’t stop talking about. We didn’t have much money. Luana’s sister bought the Kalshi domain name for us (for ~$1.7k). We moved to SF to get started, and embarked on a long, uncertain journey to build a regulated exchange.
The paranoia and anxiety from my childhood never left me. Even when things are going well, I think about what could go wrong. When people trust you with their money, that instinct serves a purpose.
I wanted us to build something that would hold up under pressure.
The first principle we defined at the company: regulatory-first. We worked with regulators for years before we listed a single market. We took every step to do things the right way and always asked for approval before proceeding. It was very hard at times, especially when we were being overtaken by competitors, but we believe doing things the right way matters.
Luana and I aren’t the only ones.
Our team put years of their lives into something far from certain. That’s especially true of Lior, Brandon, Rainer, Luis, Xavier, and Josef, who stuck with us for years. They believed when there was little to point to. And they stuck with us no matter how long it took. Kalshi is the result of an arduous journey through a long desert where, at times, most people didn’t understand why we were making the walk.
Many people still don’t understand what we’re doing and some disagree with us. Markets have historically taken time to be understood and accepted by some. But while not always obvious, their benefits are vast: capital markets help allocate capital and derivative markets help predict and manage uncertainty.
I firmly believe in these benefits, and that’s why I am dedicating my life to building this market.
Markets have caused issues many times in the past, and they certainly can present harms (manipulation, insiders, and addictive behaviors). These harms are more acute for certain types of markets (sports, short-term options, etc.) than others. It’s why I believe that guardrails need to exist and why we have taken the approach we have taken. We have consistently prioritized thinking critically about the risks and building the appropriate safeguards, sometimes beyond what the regulators require us to do. Many believe more needs to be done, and that’s a conversation I welcome.
Over time, I believe more people will see what we see: markets can help us get smarter and manage the future with more rigor, more precision, and more certainty than we have today.
To our tens of millions of users: you have made Kalshi bigger than anything Luana and I could have possibly imagined. Thank you for trusting us and thank you for coming along on the journey. I feel a strong responsibility to build a company worthy of that trust.
I am so lucky to spend my life building something I love. I hope everyone finds something they care about that much. Something that keeps you curious. Something that pushes you to your limits. Something that may put you at odds with the status quo. Something worth the hard days.
For me, it’s still markets. The more I learn, the more I want to understand.
كثرت المنتجات؟ صحيح. صار بناء التطبيقات والتقنيات أسهل؟ أيضاً صحيح.
أتفهم غضبك ياعزيزي التقني، لكن تبقى المعادلة واضحة: اللي يفهم احتياج الناس فعلاً ويقدر يبني لهم قيمة، يمديه يستفيد من ثورة الـAI.
والفرصة مو بس في مجال التقنية. حتى سوبرماركت يمديه يبني تقنية داخلية تساعده يفهم وش المنتجات اللي تمشي ويسرّع دوران رأس ماله.
بعيدًا عن الفكرة وجدواها، اللي يعجبني شجاعة طرحها ومحاولة الخروج من عباءة ستيف جوبز، اللي صارت عبء على مستقبل أبل.
شف الردود وكيف يستشهدون برفضه للفكرة قبل 16 سنة.
ما يهمني إنه رفضها وقتها، اللي يهمني إن كلامه ما يصير قرآن منزل يحدد مستقبل أبل وتقنياتها. والكلام يطوووول























