Vijay Krishnan

Natasha Malpani Unveils Rs 200 Cr Boundless Ventures to Support AI Startups Former Kae Capital partner Natasha Malpani founded Boundless Ventures, an early-stage fund worth Rs 200 crore that supports Indian AI-native startups. Finance Outlook India READ MORE: https://lnkd.in/gTK4FxKD

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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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BHUSRI CALLS B.S. ON A.I. OMNIPOTENCE: Workday's former/current CEO #AneelBhusri brilliantly breaks down the apps & #AI interplay while also hilariously framing limits of vibe-coding. For more news on the Cloud Wars Top 10, visit https://lnkd.in/efy5xrGj

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As AI data centers hit power limits, Peak XV backs Indian startup C2i to fix the bottleneck | TechCrunch https://buff.ly/neRBlVr

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Introducing Agentic Culture — an open-source experiment in collective memory and in-context cultural accumulation for multi-agent systems. A hot topic from the recent Andrej karpathy // dwarkesh podcast is that LLMs don't yet have culture. >>> So we built the scaffolding for them to develop one. Agno Agents can now tap into a shared cultural memory — knowledge that persists beyond individual sessions, users or memories. Culture is collective, evolving context that shapes agent behavior over time. Now they can create, read, explore and learn from their culture. You can use the `CultureManager` class to create and manage `CulturalKnowledge` objects. These are stored in your database of choice (SQLite for now) and automatically retrieved as in-context cultural grounding for your agents. To give your agents access to shared culture, just set `add_culture_to_context=True`. That's it. Agents now learn from collective experience. Explore the code and README: https://lnkd.in/e7E3AcJX Agno is open source — come build with us: https://agno.link/gh

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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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We concluded an incredible week at the India AI Impact Summit 2026 , highlighted by a compelling interview of Vinod Khosla by Nivruti Rai. Vinod delivered a candid fireside chat that covered topics such as VC investing, risk-taking, his enthusiasm for emergent complex systems, and his insights on AI. Following this discussion, we gathered to celebrate Professor Ramesh Raskar’s Project NANDA: Architecting the Internet of AI Agents. This initiative is focused on developing an open-sourced, decentralized agentic AI stack for developers. The framework and toolset aim to help realize India’s vision of creating an agentic AI Stack, akin to the India Stack for payments, which includes UPI and identity management through Aadhaar. With 1.4 billion Indians enrolled in Aadhaar and UPI facilitating trillions of dollars in real-time payments across the country, this represents a remarkable success story in government technology. Project NANDA: Architecting the Internet of AI Agents has the potential to achieve a similar breakthrough in agentic AI for India. We celebrated this initiative by wearing team caps, pictured from left to right: myself, Vinod Khosla—one of the world's foremost VC investors and a key supporter of the India AI Stack, MIT AI Professor Ramesh Raskar Raskar, who leads Project Nanda, and Tuan Ho , Venture Partner at X Fund. Those interested in joining this starfish-stule decentralized agentic AI movement are invited to sign up at ProjectNanda.org.

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This is a significant partnership for us, the first one with a Big Tech. We look forward to building solutions with Google AI Models (on Vertex AI Platform) to strengthen the account aggregator ecosystem. This will help all participants in the ecosystem, especially the end consumer. / Sashikumar Sreedharan

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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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🇮🇳 India’s AI Blueprint Is Scaling — Intelligently At the upcoming ET Soonicorns Summit 2025, key players like Pratilipi, Zolve, Stellaris, and Google DeepMind will outline how India’s AI ecosystem is scaling beyond startup velocity into global significance. 📊 Highlights: • $30.4B in startup funding in 2024 • Projected $244B AI market by 2025 and $1T by 2031 • Focus on talent, capital, IP control, and ethical frameworks This isn’t just about acceleration. It’s about infrastructure, rhythm, and long-term trust. From a systems design perspective, what’s emerging is a layered model: • Founders building AI-first companies • Investors backing sovereign IP • Institutions preparing governance • Global players watching closely As the landscape evolves, the real differentiator won’t just be model performance — but alignment, adaptability, and symbolic clarity at scale. The blueprint is public. The direction is deliberate. India isn’t just building AI — it’s building intentional intelligence. #ETSoonicorns2025 #IndiaAI #SovereignTech #AIScale #TrustByDesign #SymbolicSystems #AIInfrastructure https://lnkd.in/dc2tv3Fa

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Buried in the Claude Haiku 4.5 system card was a really interesting nugget that most people missed, but it could have a huge impact for anyone building with LLMs “For Claude Haiku 4.5, we trained the model to be explicitly context-aware, with precise information about how much of the context window has been used. This has two effects: the model learns when and how to wrap up its answer when the limit is approaching, and the model learns to continue reasoning more persistently when the limit is further away." For years, context awareness and management have been handled by developers and it's one of the hardest parts of building agents. Teams built systems to count tokens, monitor context usage, and trigger downstream functions like summarization or condensation. With Claude 4.5 Haiku, context awareness is now trained into the model itself. It reminds me of what happened with Chain of Thought. Something that started as a prompt engineering hack but eventually became part of model training (reasoning models). There’s still plenty of work to do around context management, but if this is the direction things are heading, the next major leap in model capability may already be taking shape: models that can manage their own context intelligently. S/O to Simon Willison who originally highlighted this on his blog (linked below)

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