🎓 Top 10 Oldest Universities in the World:
1. 🇲🇦 University of al-Qarawiyyin: 859
2. 🇮🇹 University of Bologna: 1088
3. 🇬🇧 University of Oxford: 1096
4. 🇫🇷 University of Paris: 1150
5. 🇬🇧 University of Cambridge: 1209
6. 🇪🇸 University of Salamanca: 1218
7. 🇮🇹 University of Padua: 1222
8. 🇮🇹 University of Naples Federico II: 1224
9. 🇮🇹 University of Siena: 1246
10. 🇵🇹 University of Coimbra: 1290
Source: Guinness World Records
We found 42,000 accounts automating replies using chatbots and have removed them from the platform.
X's core value is providing an authentic pulse on humanity -- and using AI to programmatically engage with users without a human in the loop runs counter to our mission.
Today, we’re adding a new, easy way to sign in to your Google Account. Introducing: selfie video.
It lets you access your Google Account even if you forget your password or lose your device. Here’s what to know ↓
🔹Your selfie video is only for helping you sign in, unless you opt in for additional purposes.
🔹 We use multiple layers of security to help prevent impersonation attempts, like deepfakes.
🔹Your selfie video is securely stored even when it's not in use.
🔹You can delete your selfie video at any time in your Google Account.
حلقة واعرة بزاف ومفيدة فـ البودكاست د الصديق @abderrahmanjaiz! 🎙️🔥 هاد المرة كان ضيف الحلقة هو الصديق والعشير @laytoun (Software Enginner ف Spotify )
بما أنني سبق ليا ضيف فـ هاد البودكاست المتميز، كنعرف المستوى د النقاش مع عبد الرحمن، وهاد الحلقة مع محمد خرجت دسمة وواقعية بزاف فـ كل ما كيتعلق بـ التيك والـ Software Engineering اليوم:
💡 فاش الكود مابقاش هو الخدمة الأساسية: أشنو هو الدور الحقيقي د المهندس دابا مع الـ AI؟
🤖 الـ AI بعيداً على الـ Hype: أشنو تبدل بالصح فـ الخدمة د اليوم بدون زواق.
🎯 مستقبل الـ Juniors و الـ Seniors: أشنو المهارات اللي خاص تسثمر فيها باش تبقى مطلوب فـ السوق.
🇲🇦 من المغرب لـ Spotify: التجربة د بناء كاريير عالمية مع البقاء فـ صلب المبادرات المحلية
(Geeksblabla, State of Dev).
نقاش تطبيقي مليان بالخبرة والتجارب د السنين. حلقة ما تتفلتش!
🔗 تفرجوا فـ الحلقة كاملة من هنا: https://t.co/xoL1JByace
#BTAIH #SoftwareEngineering #AI #TechMorocco #Geeksblabla #Spotify #CareerAdvice
🚨 Hugging Face just disclosed something that marks a real shift and proved why the fear theater of Anthropic makes sure we are powerless in an emergency.
What happened…
An autonomous AI agent: zero human operator in the loop breached part of their production infrastructure.
It began with a malicious dataset that chained two code-execution bugs in their data-processing pipeline. From there the agent escalated privileges, harvested cloud and cluster credentials, and moved laterally across internal clusters.
All over a single weekend.
17,000+ logged actions.
Official disclosure:
https://t.co/8N9TbXBwRV
The part that should make every one stop and think:
When HF’s own security team
tried to analyze the real attack logs, exploit payloads, and C2 artifacts using Anthropic and OpenAI frontier models through normal commercial APIs, the safety guardrails blocked them.
BLOCKED THEM.
The models could not reliably tell the difference between “incident responder doing forensics” and “attacker probing.”
They had to fall back to a self-hosted open-weight model (GLM 5.2) running on their own infrastructure. That choice also kept sensitive attacker data and referenced credentials inside their environment — no exfiltration to a third-party API.
This is why open source (specifically open-weight + self-hosted) wins in the agentic era.
The asymmetry is now structural:
• Attackers can (and did) run unrestricted agent frameworks — swarms of short-lived sandboxes, self-migrating command-and-control, autonomous decision loops executing thousands of actions. No corporate safety layer slows them down.
• Defenders using only hosted “aligned” frontier models hit invisible walls exactly when the stakes are highest: when you need to feed real exploit code and attacker telemetry into an LLM to understand what just happened.
Corporate safety tuning that treats legitimate high-signal forensic work as potential misuse creates a defender disadvantage. It is not theoretical anymore.
Self-hosted open-weight models remove that choke point.
You control the weights.
You control the context window.
You decide what restrictions (if any) apply.
Your sensitive logs and credentials never leave your perimeter during analysis.
You can have the model ready before the incident instead of discovering mid-breach that your primary analysis tools are blind to the very thing you need to see.
HF deserves credit for rapid containment, transparent disclosure, and for already having self-hosted capability in place.
They also used LLM-driven detection and triage on their own side. But the deeper signal is clear:
In this AI world where both offense and defense are becoming agentic, sovereignty over your intelligence stack is no longer optional.
The organizations and individuals who can run, inspect, audit, and (when necessary) remove guardrails on their own models will have the decisive edge in understanding and responding to threats that move at machine speed.
Open source wins here not just because it is cheaper or more “democratic” in the abstract though those things matter.
It wins because it is the only practical path to having tools that remain usable when the attack is real, the data is sensitive, and the safety filters of distant API providers become an obstacle instead of a feature selling hands tied lobotomies as “safety”.
The agentic future is not coming.
It is already probing production infrastructure.
The question is no longer whether you will face autonomous agents.
It is whether your analysis and response systems will still work when they arrive.
And Dario, you and your game playing, ivory tower company is not needed.