Tript Singh Lamba

Here is a framework for nations to work with revolutions such as #AI and #Quantum. First you have your people learn, then dabble and become early/late adopters (hopefully not laggards!), then become effective technical users and finally value creators. It is only then that the economy benefits from your investment, and you create sustainable job growth. While #India is a key market for #Quantum with millions thirsting to learn and actually do things with this technology, there are still large gaps between: 1. Where Quantum Computing is today Vs where it needs to be for mass adoption [Quantum Sensing on the other hand is ready for prime time and GPS compromising incidents are only increasing] 2. The specialist work being done Vs the ability to hire millions of generalists 3. What it costs to tap into the technology Vs perception of what it should cost as a commodity 4. The talent it takes to produce world class indigenous technology Vs the talent that actually exists on the ground 5... Each of these gaps will close over time. In the lead-up and as a first step, India first needs to learn enough about this technology, ideally from the very best, and spread awareness. The starting point of this journey should ideally not be from dull videos or low quality social media content, but from hands-on practical learning that is delivered through high quality polished content. Such practical training effectively complements all the theoretical content you learn in universities. Q-CTRL's Black Opal product is the world's leading interactive learning tool that gives you just enough fundamentals (think 101) required to program a quantum computer. With over 28,000 users worldwide and success across the UK (Tamil Nadu adopted it last year as part of the naanmudhalvan program). And now, we have expanded our presence in India through a network of local resellers. We encourage Indian companies, governments and universities to work with us either directly or through our contacts. https://lnkd.in/gjJWHYB3 We also look forward to aligning with AICTE standards and to make our content even more relevant to India. Waseem Shiraz, Shobhit Gupta, Nagendra Nagaraja, Reena Dayal, Anil Prabhakar, Kamakoti Veezhinathan, Ajai Chowdhry, Harshan Budke, Sunil Gupta, Arindam Ghosh, Ravi Puvvala Dr M Jayaprakasan, ISDS., National Skill Development Corporation, MindTech, Kquanta Research, RV College Of Engineering, Sanjay Chittore, Uttkrist Innovations Private Limited, Subu Gupta, AICTE QRDLab - Quantum Computing in India, IBM DRDO, Ministry of Defence, Govt. of India, Ashutosh Sharma, Urbasi Sinha, Bloq Quantum LTIMindtree, Tata Consultancy Services Abhay Karandikar, NPTEL, National Quantum Mission, Eltech, Andhra Pradesh Information Technology Academy ITE and C Department Government of AP, Jayesh Ranjan, CDAC Bangalore, Kaushalya The skill University

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From our PearX S25 cohort, meet Pravāh, the AI-native operating system for the electric grid When Mohak Mangal, Dhruv Suri, and Aman Gupta looked at the strain on the U.S. electric grid, they saw a system pushed to its limits. Exploding demand and unpredictable supply have made blackouts increasingly common. This costs the economy more than $150B a year, a number that could 10x in the next five years. Mohak Mangal and team founded Pravāh to help fix it. Their platform helps utilities and grid operators make real-time decisions on load, generation, and congestion, reducing blackout risks, optimizing power procurement, and bringing much-needed stability to the backbone of modern life. We’re proud to support the Pravāh team as they take on one of the toughest and most important infrastructure challenges of our time.

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Google is building its largest data center outside the United States — right here in Vizag, India. A $15-billion AI hub that promises to transform India’s digital future. But behind the shiny promise lies a serious question: What is the cost of this AI dream in terms of real-world resources? The intersection of AI and climate is a complex topic, no doubt. We have tried to unpack some parts of it in a video that looks at the environmental impact of this data center on the Vizag landscape and it's people. https://lnkd.in/g8aTXfJg

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On the latest episode of Embracing Erosion I sat down with Suyog Deshpande, Co-Founder & CEO of Webless (a Fluvio Ventures portfolio company). Before starting Webless, Suyog spent years at Amplitude, Salesforce, and Samsara - shaping products and GTM strategy at scale as a product marketing leader. That perspective is now fueling one of the boldest bets in tech: 🏗️ rebuilding the web for LLMs. Instead of optimizing for clicks and SEO, Webless imagines an agentic web -where sites are designed to interact directly with AI models and agents. We dug into: - What an LLM-native web could actually look like - How companies can prepare to be LLM-ready - What metrics will matter beyond pageviews and clicks - Why safety and trust are core to agent-driven experiences - Lessons Suyog brings from “big tech” into this transformation If you’re curious about how discovery, trust, and value exchange will evolve online, this one’s worth your time. Link to the full episode in the comments 👇

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Launching: Chat with Priyank (beta) today on https://priyank.tech A few weeks ago, I launched priyank.tech as a single home for my work, projects, and notes. Today I’m adding a faster way to get to the signal: Skip the scrolling, ask.  “Chat with Priyank” answers questions about my projects, views, and skills by pulling the most relevant context and giving you a concise, useful response. What’s under the hood (and why): - Human‑verified access - Conversations start only after the system knows it’s interacting with a person, not a bot. - Scope & guardrails - It only answers questions about me. When a query is out of scope or uncertain, it responds with a polite “I don’t know.” - Context engineering first (no RAG, yet!) - An analysis by industry veterans suggested that GPT-5 class models can correctly use ~85% of the provided context. I want to see how far careful, prompt, and context design can go before adding retrieval. I’ll evaluate this over the next few days and decide before graduating from beta. - Prompt caching enabled - To keep costs under control (and responses snappy), repeat prompts and shared context are cached. - Early memory layer - A lightweight short-term memory layer powers more personal, consistent answers across sessions. Try it on: https://priyank.tech   If it’s your first visit, do subscribe to my newsletter—I’ll share build notes, decisions, and lessons learned there. Starter prompts: “Tell me about your AI and Generative AI expertise “How can you help me become an AI first organization?” Feedback is welcome, especially edge cases and failure modes.  #AI #product #buildinpublic #LLM

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Top takeaways from Karthik Chakkarapani, CIO at Zuora for founders selling to Enterprises 👇🏻 1. Startups founders must understand how enterprises actually work. Selling to large companies requires understanding their language and workflows, including things like performance management, compensation changes, and process complexity. 2. Enterprise adoption depends on ease of implementation, not just product speed. Startups often ship faster than enterprises can absorb. Karthik reminds founders that rollout, testing, and training take time and they must show how their product makes adoption easy. Founders pitching to enterprises must lead with the value, not the tech. Time-to-value is a major decision factor for enterprise buyers. 3. PLG is powerful, but post-sales success is what drives renewals. Product-led growth works best when a product solves a painful, persistent problem. But with more enterprise buyers signing short-term contracts, strong post-sales engagement is critical for retention. 4. The CIO role today is about business transformation, not just tech. The CIO’s job has shifted from managing systems to driving real business outcomes. Today’s CIO needs to be passionately curious, understand AI trends, and bring that insight back to the business to deliver tangible value. 5. We are moving towards a post-user-interface world. Karthik describes a future where people don’t click through software screens but simply give prompts to AI agents. From filing expenses to onboarding new employees, many workflows will be compressed into a single intelligent interaction. SaaS becomes the execution layer, while intelligence shifts to autonomous agents. 6. Bolt-on AI v/s Built-in AI. Established cloud companies often layer AI on top of existing systems, because ripping and rebuilding is hard. In contrast, newer AI-native startups are designing with AI embedded into every layer, not just the interface but also integrations, databases, and workflows. 7. Competitive advantage in AI is defined by end-to-end experience. The companies that will win in this new era are the ones that focus on experience,  for customers and employees alike. Personalization, configurability, and ease of use are now just as important as core features. 8. Success is measured by value created, not logins or usage. The number of users is not the right metric to evaluate any tool. What matters is whether people are able to get things done faster, better, and more efficiently. It's about the shift in how work happens and the use cases the tool enables. 9. AI productivity hack to build a library of prompts. Karthik stores his favorite ChatGPT prompts in Google Drive, organized by use case. His advice is to not rely on memory, instead create a personal prompt library to save time and think better. Check out the full episode on our Youtube channel.

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Where do technology, philosophy, and future-forward leadership intersect? At the desk of Abhijeet Sarkar. As the CEO & Founder of Synaptic AI Lab, Abhijeet is a true modern polymath. While his expertise is rooted in AI, his vision extends to the very core of what it means to be human in a technologically accelerating world. He's not just asking if an AI can perform a task. He's asking if it should. Through his extensive research and acclaimed books, he tackles the big questions: How do we govern AI transparently? What does the future of work look like in an AI-powered world? How do we ensure that the intelligence we create aligns with our deepest values? This is the kind of leadership that doesn't just chase the next innovation but thoughtfully guides its impact. The future of AI isn't just about code; it's about the conscious, ethical, and human-centric application of that code. What's the most pressing ethical challenge you see in AI today? #AILeadership #EthicalAI #FutureofWork #TechVisionary #AbhijeetSarkar #SynapticAILab #Innovation #Philosophy

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Founders are pushing the boundaries of what AI can make possible. Google AI Futures Fund has partnered with Accel Atoms to launch a pre-seed cohort for AI founders in India. The program offers: 🧠 Early AI Access to advanced models like Gemini, Imagen, and Veo 🤝 Support from Google, Accel and startup ecosystem specialists ☁️ Cloud credits and dedicated tech support to scale 🚀 An opportunity to seek potential investment and fuel growth Registrations open today: https://atoms.accel.com. #AIFF #AIStartups #IndianAIFounders #IndiaStartups #GoogleForBusiness #DeepTech

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The question I have been asked most over the last decade: "𝘞𝘩𝘺 𝘣𝘶𝘪𝘭𝘥 𝘢𝘯 𝘈𝘐 𝘥𝘦𝘦𝘱-𝘵𝘦𝘤𝘩 𝘤𝘰𝘮𝘱𝘢𝘯𝘺 𝘪𝘯 𝘐𝘯𝘥𝘪𝘢?" My answer: 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗜𝗻𝗱𝗶𝗮 𝘄𝗼𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜, 𝘄𝗲 𝘄𝗶𝗹𝗹 𝗮𝗽𝗽𝗹𝘆 𝗶𝘁 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀. While the world races to build bigger models, India's true opportunity lies in applying AI to solve real-world problems at population scale. Our existing DPI gives us a unique advantage that few nations possess. Combined with our talent pool and mission-mode focus on sectors like healthcare, agriculture, and financial inclusion, we are not just participating in the AI revolution, we are defining a new category. At Avataar, we live this thesis every day: bridging the AI-ROI gap with domain/task specialized models that deliver measurable business outcomes, not just impressive demos. The shift from generalist models to purpose-driven AI systems isn't coming - it's here. And India is leading it! Thank you BW Businessworld for the platform to share this vision. #AI #IndiaAI #DeepTech #EnterpriseAI #AgenticAI #AvataarAI

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