It’s about to happen👀 Take your guesses when ↓

I've been thinking about what a true, closed-loop software factory will look like. One where agents know what to fix, what costs to optimize, and the big one: what features to actually build. We're not there yet. But maybe we're getting close...

NEW: Any app built on Para can now offer @DinariGlobal’s dShares, tokenized stocks backed by real shares and bought with USDC. Dividends and a claim on the underlying security come built into each dShare, so only eligible users can buy them, @annabelleacta explained why on the live show last month: “When you build that much in, you kinda have to know who your users are.” nitter.siddz.com/DinariGlobal/status/21…

Intelligent machines are moving beyond sensing and automation to learning, adapting and acting with greater autonomy. At NTC 2026 in Pune, the panel discussion on “Sense, Learn, Act: The New Architecture of Intelligent Machines” explored what fundamentally changes as machines evolve from automated systems to intelligent ones. Omkar Harshe, Digital Engineering Leader, Accelera by @Cummins, highlighted how the shift from automation to intelligence is also a shift in where intelligence sits, from the machine to the cloud, and how much autonomy we are willing to give AI. Kamakshya Prusti, Vice President – Growth, @TataTech_News, showed how even a simple product can become intelligent when sensing and domain expertise come together, turning real-world data into meaningful insights. For Kartik Oak, Director – ALM Product Management, @PTC, the real opportunity lies in creating a continuous feedback loop, where what machines learn feeds back into engineering knowledge and helps systems evolve. Adityanag Nagesh, Co-founder & Chief Business Officer, @mowito2, brought the conversation to one of the biggest challenges in robotics and AI: learning efficiently. While humans can learn from relatively little data, machines still require enormous amounts to reach similar levels of understanding. Together, the conversation pointed to a larger shift. Intelligent machines will not just sense and act. They will need to learn, adapt and continuously improve. #NTC2026 #nasscom #RedefiningValue #AI #IntelligentMachines #Robotics #DigitalTransformation #Innovation

I've spent a large amount of time over the last 2 years on the tokenisation of equities. I think one think I do want to relay in some future research is the difference in models for issuers specifically the rights and protections afforded to those who hold tokenised securities. Synthetics may have taken off on-chain but the real opportunity lies in the fully compliant model where tokenised equities are no different than owning the actual underlying security. This means corporate actions, dividends and true legal ownership of the backing security. In my view the compliant model will be magnitudes larger than on-chain synthetics. This is going to be the largest mega trend we have seen since the inception of the of Circle and Tether.