Introducing Cinematic Video Overviews, the next evolution of the NotebookLM Studio. Unlike standard templates, these are powered by a novel combination of our most advanced models to create bespoke, immersive videos from your sources.
Rolling out now for Ultra users in English!
@realDonaldTrump We don’t agree on everything, but leadership is measured on the world stage. From confronting violence against Christians and civilians in Nigeria to taking firm positions internationally, Ur resolve has been evident. Thank U for standing where many chose silence
We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax.
These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.
The missing layer in AI Agents was interoperability, now it’s finally solved.
Meet the 7 protocols shaping the Agent Internet 🧠⚡
(Think: HTTP for AI agents)
🔹 MCP – Anthropic
Connects LLMs to tools securely (USB-C for agents)
🔹 A2A – Google
Agent ↔ Agent communication across vendors
🔹 ACP – IBM
Persistent, scalable agent conversations
🔹 SLIM – Cisco
Real-time, low-latency multi-agent messaging
🔹 Agora – University of Oxford
Turns natural language into agent protocols
🔹 ANP
Decentralized agent discovery & negotiation
🔹 AG-UI – CopilotKit
Agents ↔ User Interface bridge
Agents talking to tools.
Agents talking to agents.
Agents talking to users.
Agentic Internet = unlocked.
Next up: Agentic Commerce protocols 👀
Save 💾 | RT 🔁 | Follow for AI Agents 🚀
Anthropic is guilty of stealing training data at massive scale and has had to pay multi-billion dollar settlements for their theft. This is just a fact.
Google isn’t trying to win the AI race.
They’re trying to own the entire AI Agent ecosystem.
While everyone argues ChatGPT vs Claude, Google quietly built:
Models → Gemini Pro, Flash, Deep Think, Gemma
Design → Stitch, Whisk, Imagen
Research → NotebookLM, AI Mode
Video → Veo, Flow, Google Vids
Coding → Antigravity IDE, Gemini CLI, Jules
Agents → A2A, ADK, FileSearch API
The scary part?
All of these tools talk to each other.
That means:
10x faster prototypes
End-to-end AI workflows
Production-ready agents on GCP
The next AI war won’t be model vs model.
It’ll be ecosystem vs ecosystem.
I mapped this stack out here:
https://t.co/G3hahQclKI
Save. Share. Build.
To all the athletes representing @TeamUSA: I'm so proud of you. Your talent and perseverance have brought you to this moment, and Michelle and I will be joining Americans from across the country cheering you on.
Helpful update for students, you can now take full practice SATs for free in the @GeminiApp.
It uses vetted content from @ThePrincetonRev and gives you feedback straight away. Starting with the SAT today, but more tests are on the way!
Chinese scientists just shattered a 41-year computing barrier.
A Tsinghua professor just discovered the fastest shortest path algorithm for graphs in 40yrs.
This improves on Turing award winner Tarjan’s O(m + nlogn) with Dijkstra’s, something every CS student learns in college.
🇨🇳 China is scaling agricultural robots.
Autonomous harvest at 24/7 cadence is the new baseline for food security.
Vision models pick, arms place, logistics sync, human supervisors handle exceptions.
Cheaper fruit, fewer bruises, happier supply chain
Released just five days ago, DeepTutor has already surged past 1.4K stars on Github! It seems people are hungry for a smart learning assistant that truly understands them.
🔗 Fully Open-Source: https://t.co/Wd8odKIRSn
We talked to countless students and kept hearing the same pain points: existing AI tools are either too fragmented or fail to capture personal learning context effectively. That's exactly why we built DeepTutor—to create an AI learning companion that actually remembers your progress and adapts to your unique learning style.
DeepTutor's Core Architecture
- 💬 User Interface Layer
Intuitive bidirectional interaction with structured, actionable outputs that organize complex context seamlessly.
- 🤖 Intelligent Agent Modules
Specialized multi-agent collaboration: problem solving, deep research, guided learning, and idea generation.
- 🔧 Tool Integration Layer
Unified access to RAG retrieval, real-time web search, academic databases, and code execution capabilities.
- 🧠 Personalized Knowledge & Memory Foundation
Persistent memory system built on knowledge graphs with contextual session tracking. Creates truly personalized learning experiences tailored to your individual progress and preferences.
Experts don’t lose skill overnight.
They drift.
When thinking is routinely delegated to AI, the shift isn’t efficiency—it’s cognition.
Judgment moves from forming conclusions to evaluating outputs.
Subtle, but Consequential.
#HumanAI#CognitiveWork#KnowledgeWork
🤖 Robotic hands are evolving faster than we realize — and they’re learning to master our world.
I find this both fascinating and a little unsettling.
At first glance, these robotic hands still look awkward - stiff fingers, clumsy motion.
But behind the scenes, every iteration brings:
➡️ Tighter sensors
➡️ Smarter control loops
➡️ Better training on human-designed objects
Week by week, they move closer to something astonishing — not imitation, but mastery.
They’re learning to grip, twist, and adapt to tools made for our anatomy.
And once they reach human-level dexterity, they won’t stop there.
They’ll surpass it — steadier than surgeons, faster than assembly lines, tireless and precise.
This is more than robotics. It’s the moment machines stop mimicking us… and start outperforming us.
How do we redefine “human skill” in a world where robots master it too?
#AI #Robotics #Innovation #Technology #Automation #FutureOfWork #Engineering