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Moving beyond simulation: NVIDIA’s new ENPIRE framework brings agentic self-improvement to real-world robotics.
The biggest bottleneck in physical intelligence has always been the need for human supervision in the loop. We want robots that can learn and adapt, but we’ve been stuck in a cycle of manual resets and human-engineered algorithms.
NVIDIA’s new research, ENPIRE, is changing the paradigm.
ENPIRE (Agentic Robot Policy Self-Improvement in the Real World) creates a closed-loop system where coding agents autonomously manage the entire research lifecycle:
✅ Automatic Reset & Verification: Robots automatically reset the scene and evaluate success, removing the human from the loop.
✅ Policy Improvement: Agents analyze logs, iterate on code, and refine policies using various regimes (RL, behavior cloning, heuristics).
✅ Fleet Scaling: By running multiple agents in parallel, the framework accelerates discovery and optimizes resource utilization.
The results speak for themselves: 99% success rates on complex tasks like GPU insertion and zip-tie cutting, all achieved autonomously.
This is a massive step toward general physical intelligence.
Check out the full paper and system breakdown here: https://t.co/G1RhX3vtlu
#NVIDIA #Robotics #AI #MachineLearning #AgenticAI #PhysicalIntelligence #Research
It’s been a minute.
2015–2018
- Exited FreeCharge. Spent time learning and investing.
- Pondered about: Why can't trust be rewarded? Started with $1M of personal capital.
- Launched CRED to reward people for paying credit card bills on time.
2019–2025
- Built a system run by a team that values ownership, judgment, and craft.
- Grew from 0 to 17M members by aligning incentives with behaviour.
- Built several products during COVID lockdowns.
- Raised $900M+ from global investors. Did 4 ESOP buybacks.
- Made Indiranagar and IPL ads slightly more interesting.
- Received a full stack of regulatory licences.
- Lost 35 kilos.
- Scaled from 0 to ~$325M ( ~₹3,200 crore) in annual revenue across payments, lending, insurance, commerce, wealth, and credit cards.
2026
- First profitable quarter (yet occasionally asked what our business model is)
- Raised another $900M from Meta in primary and secondary capital.
- Announcing our 5th ESOP buyback.
Today
CRED is ready for its next phase. I am stepping back and @miten steps in as interim CEO, partnered with an incredibly talented team. He has been heading strategy and finance and suffering me since 2020. I’m stepping away from the operating role and will continue as a shareholder. My commitment doesn’t change. Just the role.
Extremely grateful to our members, partners, regulators, and investors who made this possible. And to our board, Shailendra, Micky, Saurabh for their extraordinary conviction.
Team CRED, I’ll still expect you to be a 10x version of yourselves.
As for me, I’ll be joining Meta to lead WhatsApp globally.
Meta comes in as a minority investor in CRED. No access to member data.
While it’s come very far, the delta between WhatsApp today and its full potential is massive. I look forward to working with Mark, Chris, and the leadership across Meta for the next step in WhatsApp’s journey. Will, thank you for scaling something the world relies on quietly, and for making this transition smooth.
Onwards.
@kunalb11 Congrats on this incredible journey and your never-say-die attitude. You've navigated many tides over the last decade, and Meta found you at the perfect time to take WhatsApp to the next level. Wishing you continued success in this exciting new chapter 👏
One of the simplest explanations of AI Agents I've heard comes from Jensen Huang.
Think of an AI agent as a worker in a workshop.
The model is the brain that thinks and reasons.
The harness gives structure and orchestrates the work.
Tools and skills allow the agent to interact with the world.
The runtime is the workshop where the work actually gets done.
This analogy cuts through much of the hype around Agentic AI.
The problem is that technology is not governed by protectionism; it is governed by excellence. In tech, you either compete with the best or get left behind. The only real winner is "the best"—everyone else eventually fades away.
India still spends too much time protecting average tech companies and startups instead of going all-in on innovation. We are surrounded by businesses that simply imitate original products and survive behind policy shields.
Let's be honest: how many of these companies have seriously invested in R&D or funded meaningful research at our premier engineering institutes?
Instead of asking for more protection, face the competition, invest in innovation, and earn your place on merit.
AI isn't replacing intelligence—it's exposing it. Repetitive skills were often mistaken for intelligence. The real advantage now is human judgment, creativity, and original thinking.
True, Vijay. Now the competition will be about genuine human intelligence, not repetitive-task skills that were often mistaken for intelligence. We are moving to the next level, one where real creativity, judgment, reasoning, and originality can be recognized and valued without flukes or shortcuts.
So, did you raise the same concern with @telegram or @durov and ask them for clarification?
(I am tagging them to give their counter on this)
Do you really think someone who has never built even a simple world-class app is in a position to confidently criticize an app that serves more than 150 million users in India alone?
I'm not saying your concerns are wrong. Criticism is important. But a one-sided demo without context often reflects insecurity more than brilliance. Meaningful analysis requires looking at both strengths and weaknesses, not just highlighting what supports a predetermined narrative.
Yup. If you want high talent density for a high-level product, you need to continuously build a culture where exceptionally talented people don't lose sight of the mission, their motivation, or their zeal to work with you. Talent density isn't just about hiring great people—it's about creating an environment that keeps them engaged, challenged, and aligned with a larger purpose.
लेकिन टोल वाले कहाँ हैं, जिनका पूरा काम ही यह सुनिश्चित करना है कि एक्सप्रेसवे सुचारु रूप से चले और उसका रखरखाव ठीक से हो? यह मत कहिए कि उनके पास ऐसी परिस्थितियों में एक्सप्रेसवे साफ़ करने की मशीनें तक नहीं हैं। अगर ऐसा है, तो फिर वे सिर्फ़ टोल वसूलने और पैसा लेने के लिए ही हैं, काम करने के लिए नहीं?