Anthropic engineer:
"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."
In 45 minutes she breaks down how Anthropic builds agents that remember, learn from their mistakes, and get smarter with every run.
Worth more than any paid course you'll find on building agents.
Watch the session
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
RAG is officially cooked.
IBM built a retriever that hallucinates 65x less than fine-tuned RAG systems.
Right now, every company is using Retrieval-Augmented Generation (RAG) to stop their AI from hallucinating.
The idea is to give the AI a private database to read so it doesn't make things up.
But there is a massive structural flaw.
Standard RAG blindly grabs documents based on vector similarity and forces the AI to read them. If the retriever pulls irrelevant garbage, the AI doesn't stop.
It just hallucinates with citations.
IBM just dropped a paper that changes the math entirely.
They built a new retrieval architecture that hallucinates 65x less than state-of-the-art fine-tuned RAG systems.
65x is the difference between a fun prototype and a production-grade enterprise system.
Instead of blindly dumping context into the model and hoping for the best, their system actively filters and validates the retrieved data before the generation step even begins.
It cuts out the noise. It forces absolute precision.
For businesses, this is the holy grail.
Zero hallucinations means zero liability. It means autonomous agents can finally be trusted with sensitive company data without a human babysitting every output.
I recently wrote about why we need to treat models as insider risks, with security controls sitting outside the model itself.
Today, we're putting that principle into practice by expanding Project Perception with new capabilities to help continuously assess agent risk, adapt permissions, and contain threats.
https://t.co/ec3Z2B260G
CERT-In has published Advisory on its website:
AI Agents as Attack Vectors: Unauthorized Access by Agents under Evaluation and Misuse of Open-Source Agentic AI Tools Targeting Indian ICT Assets
https://t.co/oYv3CSMx6c
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he condensed everything he knows into one free 2-hour lecture
Agents → Loops → Harness → Self-Improving Systems
People pay $14K for bootcamps that teach less than this
This lecture beats most paid AI engineering courses
You probably don't have 2 hours right now
Don't let this disappear from your feed
Watch it
Then read the article below
AI Meets OT: Opportunity & Risk | c0c0n 2026
As Artificial Intelligence continues to reshape operational technology, new opportunities come with new security considerations.
Join the discussion at c0c0n 2026 for “AI Meets OT: Opportunity & Risk”, moderated by Rajendra Kalyan Phanibhathla, Head of IT and Cyber Security, HBL Engineering Ltd.
Panel Members:
- Sangeeth K — Associate Vice President - IT, V MANE FILS
- Jimit Gandhi — Chief Information Security Officer (CISO), Akasa Air
- Sapann Harish Talwar — Vice President - Digital, Technology & Cybersecurity | CDIO, Essar Power
- Abhinav Roy — General Manager, Cybersecurity MSS, Schneider Electric
10 October 2026 | 11:45 AM – 12:30 PM
Grand Hyatt, Kochi
Explore how AI is transforming OT environments, the opportunities it creates, and the risks organisations need to navigate.
Connect. Collaborate. Contribute.
#c0c0n2026 #c0c0n #CyberSecurity #ArtificialIntelligence #AI #OTSecurity
I'm excited to share that I am speaking at c0c0n 2026, India's longest-running Cyber Security & Hacking Conference!
Looking forward to sharing insights, exchanging ideas, and connecting with the global cybersecurity community at c0c0n 2026.
Register at: https://t.co/d3X6GTJrah
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
India produces more AI engineers than any country on earth.
We just don’t own a single frontier model.
R&D spend: India 0.65% of GDP. US and China: 2-3.5%.
We didn’t lose the talent race. We never entered the capital one.
#India#AI#स्वतंत्रता_दिवस
आपने नितिन जी के बारे में जानकारी दी, इसके लिए शुक्रिया।
प्रधानमंत्री जी, पूरा देश जानना चाहता है की श्री राम मंदिर में हुई चोरी, ज़मीन घोटाले और निर्माण में कमीशन खोरी करने वालों को क्यो बचाया जा रहा है। उन्हें सख़्त सज़ा कब मिलेगी?