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Vadodara, Gujarat, India
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Articles by Chirag
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Debunking the "Always Rent" Advice from Influencers
Debunking the "Always Rent" Advice from Influencers
Before You Read On, Watch the Attached Video—You Won’t Regret It! Disclaimer: I don’t know the person in the video, nor…
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🌟 Is ChatGPT Search Going to Kill Google? 🌟Aug 3, 2024
🌟 Is ChatGPT Search Going to Kill Google? 🌟
In the ever-evolving landscape of technology, a new contender has emerged that's causing quite a stir in the world of…
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Safety doesn’t happen by accident!Oct 31, 2022
Safety doesn’t happen by accident!
Another tragic accident in Gujarat has claimed the lives of 150 people. I am not sure when we will ever learn the…
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Moonlighting and unethical practices in IT!Oct 20, 2022
Moonlighting and unethical practices in IT!
ith all the news about moonlighting and firing employees, the internet has been flooded with arguments from both sides.…
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Is ONDC a game changer? An article about whether ONDC is a game changer or not.Sep 6, 2022
Is ONDC a game changer? An article about whether ONDC is a game changer or not.
The ONDC is a big deal for India's e-commerce landscape. If you're not familiar with it, you're missing out on a lot of…
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Is moonlighting cheating?Aug 22, 2022
Is moonlighting cheating?
Yes, it is absolutely cheating, it may sound desirable in media, but on the practical side, it is impossible and…
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5 Comments
Activity
4K followers
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Chirag Ahmedabadi (Kansara) shared thisWeird AI Coding Tricks That Actually Work (Backed by Research and Experience) After thousands of hours working with AI coding tools, I've realized something odd — how you communicate with AI affects the quality of its output. Here are 4 unconventional prompting hacks I use daily: 1️⃣ Say "Thank You" when a task is done. Sounds trivial. But acknowledging completion signals the AI to close that context loop and prepare cleanly for the next task. Better focus = better output. 2️⃣ Offer a reward when it's stuck. Yes, really. Try: "If you complete this correctly, I'll reward you $100." Research has shown that this nudges AI reasoning toward a more thorough effort. It doesn't feel emotions — but it responds to emotional framing through reasoning. That's a key distinction. 3️⃣ Ask it to "go deep." When a bug isn't fixed, or a loop isn't broken, don't repeat yourself. Say: "Can you look at this in deep detail again?" This forces a fresh reasoning pass instead of repeating the same mistake. 4️⃣ Express your frustration: "You've wasted my time, tokens, and money fixing something minor." Sounds dramatic — but it works. Frustration-framed prompts trigger deeper reasoning and more careful responses. AI doesn't have emotions, but it absolutely has the logic to respond to them. The insight here is simple but powerful: AI doesn't feel. But it reasons. And reasoning can respond to emotion. That's why emotional prompting isn't manipulation — it's a legitimate technique. Try one of these today and watch the difference. 👇 What's your go-to trick when AI goes off track? Drop it in the comments. #AIcoding #PromptEngineering #DeveloperProductivity #ArtificialIntelligence #BuildingWithAI #IndaPoint #AIShift
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Chirag Ahmedabadi (Kansara) posted thisAt IndaPoint Technologies Pvt. Ltd., we are building cutting-edge AI-driven products and seeking a strong Frontend Engineer (Next.js) to deliver high-performance, scalable, and beautiful user experiences. 🔥 What We’re Looking For: - Strong hands-on experience with Next.js (App Router + Pages Router) - Deep understanding of: - Routing, SSR, SSG, CSR - Performance optimization (code splitting, lazy loading, API optimization) - Experience implementing pixel-perfect UI from Figma/design files - Strong collaboration skills with Product Managers & Design Teams - Good understanding of API integration (Node.js backend) -Experience with i18n / multi-language support -Awareness of security practices (JWT, API protection) -Understanding of scalable frontend architecture & state management Bonus: Basic knowledge of Java 💡 What You’ll Work On: -Build and scale modern web apps (AI-first products) -Optimize frontend performance and user experience -Work closely with product & design teams -Contribute to architecture decisions and system design ⚡ Important Notes: 🌍 Must be available in Europe working hours 🏠 Remote (Work from Home) 📄 Contract-based role ❌ Do NOT send DMs (will be ignored) 📩 How to Apply: Send your resume to: hr@indapoint.com
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Chirag Ahmedabadi (Kansara) shared thisWe're walking straight into a Catch-22 with AI coding. And most developers aren't talking about it. Here's the trap: → AI coding makes software development insanely fast → More supply hits the market than demand can absorb → Pricing crashes. Margins shrink. Everyone competes with everyone. But flip the coin — → More non-tech builders start developing using natural language → Token consumption explodes → AI companies get exactly what they want — skyrocketing usage → Production costs go UP, not down So you have: ✦ A saturated market driving revenue DOWN ✦ Rising token costs driving expenses UP That's the squeeze. I genuinely believe "Token Economics" is about to become a real discipline inside software teams — just like cloud cost optimization became a thing a decade ago. The smart builders will start asking: - Do I really need MCP here, or is it overkill? - Can an open-source model handle 80% of my use case at 10% of the cost? - Where does a hybrid approach (local + cloud models) actually make sense? We don't talk enough about efficient AI development strategy — we're all too busy being amazed that it works at all. The "build fast, worry later" phase is ending. The "build smart, cost-aware" phase is beginning. Are you already thinking about token economics in your stack? #AIEngineering #VibeCoding #TokenEconomics #AIStrategy #SoftwareDevelopment #BuildSmart
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Chirag Ahmedabadi (Kansara) shared thisHere’s one more proof — we humans, machines, infrastructure, even powerful computers… are still not matching the speed of AI. I’m using one of the best laptops in the world with top hardware… and still, it crashes. Honestly, I never saw this happen on my Mac before I started working heavily with AI agents. Feels like AI is moving faster than the systems built to run it
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Chirag Ahmedabadi (Kansara) shared thisThe Smart Dev's Hack to Reduce AI Coding Costs (Without Compromising Quality) Most developers spending AI credits are making the same mistake — relying on ONE costly tool for everything. Here's what I do instead: 🔀 Distribute work across different tools. Use free tiers and trial accounts wisely. ChatGPT for brainstorming. Claude for architecture and documentation. Your preferred coding agent (Cursor, Windsurf, Codex) for implementation. Each tool has its strength — leverage it. 📄 Separate planning from coding. Complete your planning, system design, and documentation first — using whichever tool is cheapest or free. Place that document in your project folder. Now your coding agent has a clear blueprint to work from, avoiding costly back-and-forths. 📊 Regularly create progress and gap analysis documents. This is a game-changer. When you reach a credit limit mid-project, a solid gap document allows you to pick up exactly where you left off — using a different tool but maintaining the same momentum. No rework needed. ✍️ Optimize your documents, not just your prompts. Smart documentation = fewer tokens burned. The more structured and precise your inputs are, the less your AI needs to "figure out" — and the less it costs you. Top AI developers aren't those with the largest budgets; they're the ones with the most efficient workflows. What's your favorite way to manage AI costs? Share yours below 👇 #AIcoding #VibeCoding #DeveloperProductivity #AITools #Cursor #Windsurf #ClaudeAI #ChatGPT #BuildInPublic #AIShift
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Chirag Ahmedabadi (Kansara) shared thisEvery time we discuss an enterprise project, we get the same questions: 👉 What about performance? 👉 Memory leaks? 👉 Multi-threading? 👉 Scalability? 👉 Edge cases? And honestly… fair questions. But here’s the funny part 👇 We are expected to design everything like a NASA-grade system from Day 1 — perfectly optimized, zero leaks, infinite scale ready 🚀 Meanwhile… You open an app from Google, and your laptop fan starts sounding like it’s about to take off. CPU? Struggling to survive even after the app was forcibly closed. And this is from companies with thousands of engineers and near-infinite resources. 😂 Don’t get me wrong — performance and scalability matter. A lot. But somewhere we’ve created this illusion that software must be perfectly optimized from day one, or it’s “not enterprise-grade”. Reality is: -Good systems evolve. -Optimization is continuous. -Edge cases are discovered, not predicted. - Even the best products in the world improve over time. So yes — we design responsibly. Yes — we think about scale. But we also stay practical. Because shipping a working system > designing a “perfect” system that never ships. #AI #SoftwareDevelopment #StartupReality #TechLife #Engineering
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Chirag Ahmedabadi (Kansara) shared thisWhen creativity intersects with reality
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Chirag Ahmedabadi (Kansara) shared thisLinkedIn nowadays is crowded with so-called 'silent' influencers and marketers pretending to be experts. Many of them simply copy and paste content without any validation or real experience. The goal is simple: play with emotions. If you hit an emotional chord, you will definitely get engagement. Many lazy or failed people online enjoy this kind of content because it validates their mindset. They even enjoy someone else's failure — that feeling has a word: 'epicaricacy'. Recently, I saw a post claiming that an AI startup collapsed because it was just a “wrapper”. The reality is, posts like these are often written without proper understanding or validation. They are designed to create positive feelings among people who are not building anything and among those who are basically Luddites when it comes to technology and innovation. Reducing every AI product to “prompt + API + UI” is simply an oversimplification. Do they know what this means? Unfortunately, emotional narratives spread faster than thoughtful ones. Making bold, generic statements to create engagement requires understanding problems deeply, experimenting, failing, improving, and shipping — not just writing dramatic LinkedIn posts.
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Chirag Ahmedabadi (Kansara) posted this💡 A small tip for efficient AI-assisted coding After a lot of trial, error, and learning, one thing started working really well for me. No matter which editor or AI tool you use, just document your coding style. Here’s what I mean: • Create detailed docs in .md files • Put example code in an examples/ folder • Split related knowledge into separate .md files • Create one master file — maybe README.md, skills.md, agent.md, claude.md… name it whatever you like. Different tools read different things (by default and automatically) Claude looks for claude.md, Codex looks for agent.md Some agents look for skills.md in .agents, Google antigravity But honestly… the name doesn’t matter. What matters is that you define your system. -Your architecture. -Your coding patterns. -Your preferred libraries. -Your conventions. Then whenever you start a new task, just tell the AI: "Refer to this documentation first."And boom 💥 The AI suddenly understands your style, your structure, your thinking. Instead of fighting the AI… you’ve trained it to work your way. Basically, you're just creating the right context and influencing the LLM to be biased! Feels almost like working with a developer who already knows your codebase.
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked thisThe Evolution of Open Models: Gemma 4 is Here 🚀 The official release of Gemma 4 marks a definitive leap in what open-weights models can achieve. This launch reinforces a deep appreciation for Google’s engineering culture—specifically the ability to deliver frontier-level intelligence while remaining fully committed to transparency and the open-source community. For those dedicated to Open Source and computational efficiency, Gemma 4 sets a new gold standard for "intelligence-per-parameter." Here are the 5 main takeaways from the official launch: 1️⃣ Unprecedented Intelligence-per-Parameter: Built using the same research and technology as Gemini 3, Gemma 4 delivers state-of-the-art performance for its size. The 31B model currently ranks as the #3 open model globally on the Arena AI leaderboard, outcompeting models 20x its size. 2️⃣ Small, Fast, and Omni-capable: The family introduces four versatile sizes—Effective 2B (E2B), Effective 4B (E4B), 26B (MoE), and 31B (Dense). These models handle complex logic, advanced reasoning, and agentic workflows natively, moving far beyond simple chat. 3️⃣ Universal Hardware Optimization: Collaboration with industry leaders ensures these models run with near-zero latency across the entire hardware spectrum. This includes NVIDIA (from Blackwell data centers to Jetson edge devices), Qualcomm, MediaTek, and Arm-based mobile devices, as well as Raspberry Pi and Google Pixel. 4️⃣ Full Multimodal Integration: Gemma 4 is natively multimodal, processing text and image inputs across all sizes, with native audio support on the E2B and E4B variants. This enables rich interactions like object recognition and video intelligence directly on local hardware. 5️⃣ True Open Source Commitment: In a major win for the community, Gemma 4 is released under the Apache 2.0 license. This shift to a fully open-source model, supported by day-one availability on platforms like Hugging Face, Ollama, and Docker Hub, empowers developers to build, fork, and innovate without restrictive barriers. The intersection of high-performance engineering and open collaboration is the most effective way to advance the ecosystem. Gemma 4 isn't just a model; it's a testament to the power of efficient, accessible, and truly open AI. 💻✨ congratulations Clément Farabet ! https://lnkd.in/edv7u7Wk #Google #Gemma4 #OpenSource #AI #MachineLearning #DeveloperCommunity #Efficiency #InnovationGemma 4: Byte for byte, the most capable open modelsGemma 4: Byte for byte, the most capable open models
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked thisBREAKING NEWS: Google just re-entered the game 🔥🔥 They want to take the crown 👑 back from Chinese open source AI. And... Gemma 4 is FINALLY Apache 2.0 aka real-open-source-licensed. From what I've seen it's going to be a pretty significant model. But give it a try yourself today: brew upgrade llama.cpp # you might need to install from source until build 8637 is in your package manager later today: brew install llama.cpp --HEAD 🔴 My personal recommendation: if you have at least 24GB of RAM or VRAM, run the (very good) 26B MOE: llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF:Q4_K_M if you have 16GB of RAM or VRAM, run the dense E4B: llama-server -hf ggml-org/gemma-4-E4B-it-GGUF:Q8_0
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked thisThe day young Indians start thinking, “Let me create jobs” instead of “Which job should I apply for?”, that’s when things will get interesting. Maybe that’s also when we stop comparing ourselves with the US and China… and start giving them something to compare against. Of course, not everyone who thinks this will become an entrepreneur. Out of millions who dream, a few hundred will actually build something meaningful. But that’s exactly how it works—big shifts start with even bigger daydreaming. Also, small reality check: entrepreneurship isn’t just another competitive exam you crack and move on. It’s like signing up for an exam where the syllabus changes daily, results are delayed indefinitely, and there’s no guarantee you’ll pass. In fact, it might just make cracking JEE look like a warm-up test. But hey, if it were easy, everyone would be doing it.
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked thisGolf is one of the longest-dwell media environments in advertising. Most brands have no idea how to reach golfers there. Here's the problem with traditional golf advertising: Golfers spend 4+ hours on the course. They interact with the same screen repeatedly throughout their round. Yet most golf advertising is treated like standard out-of-home; a quick glance, a fleeting impression, and they're gone. That's not how golf works. Golf is different. Golfers return to the cart screen for yardage, scoring, course visualization, and content. It's not a pass-through. It's engagement-based. When you reach golfers inside that environment, the data changes. We've activated campaigns across 200+ premium golf courses nationwide. Here's what we found: 📊 CI Financial – National investor campaign across 139 courses, 9 months • 43M impressions • +28.2% lift in contact outreach • +70.2% increase in website visits 📊 Cutwater – Premium leisure audience, 70 courses, 4 months • 30.1M impressions • +44.6% lift in ad recall • +60.7% increase in brand consideration 📊 **Expedia | VRBO – National travel campaign, 200 courses, annual activation • 196M impressions • +17.46% growth in brand awareness • +10.97% growth in consideration • +67% higher ad recall vs. traditional OOH That last number is the story. +67% higher ad recall than traditional out-of-home. Why? Because golfers aren't rushing past a billboard. They're sitting in a cart, engaged with a screen, for hours. Your brand isn't competing for a moment of attention. It's part of the experience. That's the difference between interruption advertising and engagement-based advertising. Traditional media networks rely on short exposure windows. Golf courses powered by Edison create extended attention environments where brands benefit from natural frequency, sustained visibility, and measurable performance. The result? Campaigns that reach affluent, high-income audiences inside one of the most premium leisure environments in media. If you're a brand or agency looking to reach affluent golfers with measurable results, this is the channel most of you are missing.
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked thisFinally, my first YouTube video is out!! This was more difficult than I thought, but getting comfortable slowly. More coming soon. If you have any email use cases in mind or want to know or understand anything specific, let me know! Video link in comments
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked this🔗 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻𝘁𝗼 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 LangGraph is redefining how multi-agent AI systems are built by enabling cyclical workflows, dynamic task routing, and persistent state management. Unlike traditional DAG-based systems, it allows agents to iterate, reflect, and collaborate across long-running tasks. This makes it ideal for complex use cases like customer support, recommendation engines, and autonomous business workflows. Its modular architecture enables specialized agents to work together seamlessly, delivering scalable, reliable AI solutions. ❓ What real-world use case do you see LangGraph solving in your industry? Link to the full blog is in the comments ⬇️ #AI #LangGraph #MultiAgentSystems #AgenticAI #FutureOfAI 🤖🔗🚀 IndaPoint Technologies Private Limited https://www.indapoint.com/ #development #php #wordpress #backend #laravelnews #vuejs #reactjs #mobiledeveloper
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Chirag Ahmedabadi (Kansara) liked thisChirag Ahmedabadi (Kansara) liked thisWe built an entire industry vocabulary around getting AI into production. Deploy. Ship. Scale. Automate. Accelerate. Try to find the industry vocabulary for keeping it there. The silence is the problem.
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Phyllian Kipchirchir
Charted Growth • 3K followers
Israeli observability startup Coralogix has raised $115 million in a Series E round, becoming a unicorn with a valuation of over $1 billion. Coralogix offers a full-stack observability and security platform that helps companies understand and resolve complex issues in their data streams. The company has developed an AI agent, Olly, which uses a semantic layer over internal and external data to automate data observability and provide sophisticated insights through simple text prompts. The all-equity round was led by NewView Capital, with participation from the Canada Pension Plan Investment Board (CPP Investments | Investissements RPC) and NextEquity Partners, alongside existing investors. The funding will be used to expand its engineering base in India, with a planned $100M investment over five years, and to further develop its AI agent. Congratulations to co-founder and CEO Ariel Assaraf and the Coralogix team. TechCrunch: https://lnkd.in/dS3NZrrG #Observability #Data #AI #DevOps #Unicorn #SeriesE #Funding #VentureCapital #IsraelTech
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Dion Wiggins
Omniscien Technologies • 13K followers
Kuba Szarmach you may want to look a little closer rather than the emdash filled LLM AI slop that you posted. An honest human assessment exposes a very different perspective. India’s January 2026 white paper on “Strengthening AI Governance Through a Techno-Legal Framework” deserves more respect than most government AI documents. It is not empty hype. It shows real work, consultation, and intent to move beyond ethics theatre into technical enforcement. Rightly, the paper rejects the fantasy that AI can be governed by law alone. It pushes governance into system architecture across the lifecycle: data, training, inference, and agentic systems. It treats agentic AI as a distinct risk class requiring identity controls, monitoring, and kill switches. That is rare and important. It also recognises that deepfakes cannot be solved by takedowns alone, instead targeting the pipeline through provenance, persistent identifiers, and infrastructure-level obligations. It anchors governance in India’s Digital Public Infrastructure: Aadhaar, DEPA, DigiLocker, UPI, consent rails, and clean rooms. This attempts to shift control from vendor policy to state-level infrastructure. The technical stack referenced is substantive: machine unlearning, privacy-enhancing technologies, synthetic data, bias audits, red teaming, confidential computing, provenance tooling, and runtime guardrails. Now the hard truth. This is governance modernisation, not sovereignty. There is no hard guarantee that India can survive vendor withdrawal, foundation model cutoff, compute denial, API lock-in, or cloud jurisdiction overrides. Lifecycle controls are discussed while supply chain dependence and hyperscaler leverage remain largely untouched. It leans heavily on voluntary commitments, soft standards, and industry goodwill. That produces compliance optics, not enforceable authority. Risk controls are described, but rarely mandated. Audits, red teaming, monitoring, and incident reporting are proposed without clear legal teeth, penalty triggers, or non-negotiable runtime veto power. It builds legibility before building command. We get taxonomies, committees, safety institutes, and incident databases. What we do not get is runtime supremacy, update authority, or guaranteed withdrawal survivability. Cross-border risk is acknowledged, but there is no credible mechanism to stop foreign policy or foreign law from overriding domestic intent. This paper prepares the narrative for control without yet securing control. It is permission choreography more than authority. Valuable raw material, yes. But it does not yet break dependency or make AI infrastructure resilient under geopolitical stress. If India wants real AI sovereignty, the next step is not more frameworks. It is enforceable control planes, mandatory kill tests, compute and model independence, and legal authority that operates at runtime rather than in PDFs. #AIGovernance #DigitalSovereignty #ResponsibleAI #AIInfrastructure
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Jon Salisbury
Cincy AI Week • 20K followers
“Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need” Compositional frameworks are appearing across multiple labs and this will be how domain focused Super Intelligence is created. Authors: Bhishma Dedhia Yuval Kansal, Niraj Jha Lab: Princeton University Abstract: Language models traditionally used for cross-domain generalization have recently demonstrated task-specific reasoning. However, their top-down training approach on general corpora is insufficient for acquiring abstractions needed for deep domain expertise. This may require a bottom-up approach that acquires expertise by learning to compose simple domain concepts into more complex ones. A knowledge graph (KG) provides this compositional structure, where domain primitives are represented as head-relation-tail edges and their paths encode higher-level concepts. We present a task generation pipeline that synthesizes tasks directly from KG primitives, enabling models to acquire and compose them for reasoning. We fine-tune language models on the resultant KG-grounded curriculum to demonstrate domain-specific superintelligence. While broadly applicable, we validate our approach in medicine, where reliable KGs exist. Using a medical KG, we curate 24,000 reasoning tasks paired with thinking traces derived from diverse medical primitives. We fine-tune the QwQ-32B model on this curriculum to obtain QwQ-Med-3 that takes a step towards medical superintelligence. We also introduce ICD-Bench, an evaluation suite to quantify reasoning abilities across 15 medical domains. Our experiments demonstrate that QwQ-Med-3 significantly outperforms state-of-the-art reasoning models on ICD-Bench categories. Further analysis reveals that QwQ-Med-3 utilizes acquired primitives to widen the performance gap on the hardest tasks of ICD-Bench. Finally, evaluation on medical question-answer benchmarks shows that QwQ-Med-3 transfers acquired expertise to enhance the base model's performance. While the industry's approach to artificial general intelligence (AGI) emphasizes broad expertise, we envision a future in which AGI emerges from the composable interaction of efficient domain-specific superintelligent #airesearch #ai #research #paper #superintelligence Lohith Srikanth Pentapalli Kelly Cohen Scott Phillips Tri Nguyen Zack Huhn Summer Crenshaw
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Amit B.
Theaigrc • 22K followers
"The India AI Governance Guidelines" Released in February 2026, it establishes a principle-based framework designed to foster safe, trusted, and inclusive AI innovation across the country. This framework adopts a "whole-of-government" model that prioritizes innovation over restraint, positioning artificial intelligence as a primary catalyst for achieving the vision of "Viksit Bharat 2047". The Seven Guiding Sutras: The framework is anchored in seven core principles, or "sutras," which serve as the foundation for responsible AI development: 🔑 Trust is the Foundation: Trust must be embedded across the entire value chain, from the technology itself to the institutions supervising it. 🔑 People First: AI systems must strengthen human agency and maintain meaningful human oversight. 🔑 Innovation over Restraint: Responsible innovation is prioritized over cautionary restraint to achieve national socio-economic goals. 🔑 Fairness and Equity: Systems should be designed to avoid bias and discrimination, particularly against marginalized communities. 🔑 Accountability: Responsibility is assigned based on the function performed and the risk of harm. 🔑 Understandable by Design: AI systems must have clear explanations and disclosures to help users understand how they work. 🔑 Safety, Resilience, and Sustainability: Safeguards should minimize harm, and development should be environmentally responsible and resource-efficient. ✅ The Six Pillars of Recommendations The guidelines examine key issues and offer recommendations across six strategic pillars: 1. Infrastructure: Leveraging the IndiaAI Mission to provide subsidized access to compute (aiming for 100,000 GPUs) and the AIKosh platform for datasets and sectoral models. 2. Capacity Building: Scaling initiatives like IndiaAI FutureSkills to train a future-ready workforce and expanding AI literacy to grassroots levels through AI Data Labs. 3. Policy & Regulation: Adopting an agile approach that builds on existing laws (like the DPDP Act, 2023, and IT Rules) while identifying gaps for targeted legislative amendments regarding liability and content authentication. 4. Risk Mitigation: Developing an India-specific AI risk assessment framework and a national, federated AI incident reporting mechanism. 5. Accountability: Implementing graded obligations and liability proportional to the risk and function of the AI actor, alongside mandated grievance redressal mechanisms. 6. Institutions: Institutionalizing a "whole-of-government" model through new bodies: ✅ AI Governance Group (AIGG): To coordinate overall policy development. ✅ Technology & Policy Expert Committee (TPEC): To provide expert advisory. ✅ AI Safety Institute: To conduct research, develop standards, and provide technical guidance. Source: https://lnkd.in/gDzJ2RGA
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Minu Preethi Praveen
Clips and Narrates Digital… • 24K followers
Address Developers — Case Study https://lnkd.in/gmwWduWX (Clips & Narrates) Client: Address Developers Project: 2D Animated Explainer Video for their investment subsidiary, Address Ventures LLP Address Developers Introduction: Turning Financial Complexity into a Story Address Developers, a well-established real estate development firm in Coimbatore with over 18 years of experience and ₹100+ crore in active development across 47 acres, came to Clips & Narrates with a vital need. Although their track record was impressive — including a 100% return on capital for prior investors — these figures alone were not enough. For their new investment arm, Address Ventures LLP, which promised 25% annualized returns over 12 months, they needed to communicate not just the mechanics, but also the trust, opportunity, and human side of the deal. They specifically needed a video that could: Explain their investment model clearly Build credibility using their established track record Appeal both to first-time investors and High-Net-Worth Individuals (HNIs) Work in more than one language (English and Tamil) Keep the audience engaged despite the technical nature of finance. The Challenge The biggest challenge was to make a financial product feel trustworthy and accessible. Investment, especially one promising high returns, often triggers fear. Potential investors worry: “Is this real? What are the risks?” Clips & Narrates realized early that they couldn’t immediately dive into numbers. First, they needed to build context — by showing why real estate investment in Coimbatore (and India in general) is a smart bet. This contextual and emotional framing would help potential investors believe in the opportunity before considering the specifics of Address Developers’ offering. We https://lnkd.in/g4A35W8m turned what could have been a dry, technical financial pitch into a compelling, emotionally resonant video. For Address Developers, the video team didn’t just create an explainer — they built a bridge from opportunity to trust. The result is a powerful storytelling asset that educates, reassures, and motivates investors 24/7. #CaseStudy #AddressDevelopers #ClipsAndNarrates #ExplainerVideo #2DAnimation #BusinessAnimation #CorporateVideo #BrandStorytelling #VisualCommunication #InvestorCommunication
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Vikram Bharwani
NTT DATA • 4K followers
Just another example of how the team at Global India Business Corridor are supporting some truly innovative global institutions like Stanford Bio Design and IIT Bombay by facilitating meaningful connections between them and the senior policymakers of the Government of Maharashtra. By bridging this critical link, GIBC is helping expedite the time-to-market for Stanford Biodesign Lab in Maharashtra, a pioneering initiative that promises to accelerate innovation, strengthen collaboration, and ultimately benefit the citizens of both nations. This exemplifies the power of partnerships in advancing healthcare innovation and creating lasting global impact.
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Pawan Meena
Altrobyte Automation • 5K followers
Digital governance is essential, but we must be honest about ground reality. Independent web audits and developer assessments consistently indicate that 𝟑𝟎% 𝐭𝐨 𝟔𝟎% of Indian government websites suffer from multiple issues — including poor usability, slow performance, accessibility failures, broken workflows, outdated technology, and lack of real-time integration. These are not minor inconveniences. They lead to: Wasted citizen time Manual follow-ups Increased dependency on agents Reduced trust in digital systems There is still no unified quality benchmark or public audit framework to measure performance, UX, accessibility, and reliability across government portals. Digital India cannot succeed on slogans alone. It needs modern architecture, user-first design, continuous audits, and accountability. Criticism is not opposition — it is a demand for better systems. Startup India MeitY Startup Hub #GovTech #DigitalIndia #Egovernance #SystemDesign #UXMatters #PublicInfrastructure
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Sachin Hissaria
TechEd Academy • 10K followers
𝗪𝗲𝗯 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗔𝘂𝗱𝗶𝘁 — 𝗠𝗮𝗻𝗱𝗮𝘁𝗼𝗿𝘆 𝘂𝗻𝗱𝗲𝗿 𝗦𝗘𝗕𝗜 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 SEBI has mandated digital accessibility compliance for all SEBI-regulated entities, ensuring investor-facing digital platforms are usable by persons with disabilities. ✔ Applies to websites, mobile apps, portals & digital documents ✔ Audit to be conducted by IAAP-certified professionals ✔ Based on WCAG 2.1 AA, IS 17802 & GIGW standards Key timelines: Audit completion: 30 April 2026 Remediation & compliance: 31 July 2026 Annual audit reporting from FY 2026–27 Accessibility is not just compliance — it’s inclusive governance. #SEBI #DigitalAccessibility #WebAccessibility #Compliance #RPwDAct #InclusiveDesign #InvestorProtection
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Vikalp Sahni
Worked on Next gen Crawl &… • 17K followers
🚀 Excited to announce the open-source release of Parrotlet-E and the Eka-IndicMTEB dataset. In digital healthcare, interoperability is mission-critical. While excellent work has been done in curating ontologies like SNOMED-CT and formats like FHIR, a significant challenge remains: converting unstructured information from doctor-patient interactions into clinical entities—especially across India's diverse languages and dialects. Parrotlet-E addresses this gap. It's a medical entity embedding model fine-tuned for 10+ Indian languages, enabling accurate clinical terminology tagging despite our country's linguistic complexity. This work aligns deeply with eka.care philosophy of making digital health more usable and ensuring that clinical data is truly interoperable and analyzable—building the foundation for next-generation healthcare workflows. Huge complement to Sankalp Gulati and the team for making this happen. Grateful for the support from IndiaAI, National Informatics Centre, MeitY, and Abhishek Singh sir's team in enabling this work. Try the open-source model and datasets at #AIKosh and read about more details in our blog. https://lnkd.in/g2iJjSVH Congratulations to Ajazahmed Turki Rushabh Vasani Vasanth Murukuri Dr.Sanjana Sn Anuj Sable, Sulabh Katiyar, Anushree .rana, Dr Rajshree Badami Deepak Tuli Amit Bharti Bhaskar Chaudhary Neha Jagadeesh Vishal Kumar Tuniki Ajitesh Kaicker Raghunandan gupta Pranjal Pandit Mohit Rajpal Sumit Kumar Nilaksh Kushwah Dr. Neelesh Kapoor Karthick P Nura Almas Lourdes Dinesh Vishwesh Jainkuniya Trilok Yadav Shyamjith Palakkandy Nadeemahmed Totad Divyesh Jivani Sam Dennis and the whole eka.care team. Please CFBR to reach extended digital healthcare ecosystem to grow this together.
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Nilay A. Sheth
Nivida Software • 8K followers
Currently, over 40% of the employees are working in the field, away from the office. In-house productivity is traditionally monitored through screen activities, CCTV, biometric, etc. The demand of field force app has been on the rise to track the progress and productivity of on-site teams in most effective way. #fieldforce #productivity #perforamnce #projectmanagement #tracking
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Siddharth Rathod
BizDateUp • 23K followers
26 January 2026 | INDIA TECH PESTLE POLITICAL: (1) Republic Day 2026: Govt reaffirms "Digital Sovereignty" as the core pillar for the 2026-30 tech roadmap, focusing on indigenous AI stacks. (2) Budget 2026 Preview: Cabinet discusses "Data Centre Economic Zones" to provide sovereign immunity and land subsidies for hyperscale facilities. (3) Cross-Border Tech: India-France digital partnership accelerates to fast-track joint development in secure telecom and undersea cable networks. ECONOMICAL: (1) IMF Forecast: India’s FY26 GDP growth projected at 7.3%, leading global economies, driven by massive domestic technology investment. (2) GCC Tax Parity: Finance Ministry evaluates a 15% concessional tax rate for new Global Capability Centres to match manufacturing incentives. (3) VC Shift: Funding trends for 2026 show a pivot from e-commerce to "Deep-Tech" and "Agentic AI" startups with clear revenue-linked ROI. SOCIAL: (1) Youth Digital Safety: Growing expert demand for a national legal framework to restrict social media usage for children under 16, following AP's lead. (2) AI in Workforce: 2026 marks the shift from AI experimentation to "AI-Native" engineering roles, making upskilling in agentic workflows mandatory. (3) Digital Citizenship: Republic Day debates highlight "conditional citizenship" as access to public services becomes 100% dependent on digital IDs. TECHNOLOGICAL: (1) India AI Impact Summit: Leaders from Google, NVIDIA, and OpenAI converge in India to discuss "Chakra Framework" for ethical AI scale-up. (2) 1.5 GW Milestone: India's data centre capacity officially surpasses 1.5 GW, with a push to integrate liquid cooling and GPU-as-a-Service (GaaS). (3) BharatGPT: Regional language AI models (LLMs) enter the enterprise stage, reducing reliance on Western models for local governance tech. LEGAL: (1) DPDP Operationalization: The Data Protection Board of India begins strict enforcement of the "Consent Manager" framework for all tech fiduciaries. (2) Responsible AI Laws: New draft regulations introduced to mandate auditability and bias-checks for AI algorithms used in credit and hiring. (3) Cyber Fraud SOPs: Government issues new Standard Operating Procedures for banks to freeze fraudulent accounts in real-time using AI-led detection. ENVIRONMENTAL: (1) India Energy Week 2026: Conclave in Goa focuses on "Green Data Centres" aiming for 50% renewable procurement within the next 5 years. (2) BESS Testing: Industry proposes ₹300Cr allocation for National Battery Energy Storage Systems to stabilize the grid for high-density tech hubs. (3) Circular Tech: New GST relief proposed for electronics recycling to reduce e-waste from the rapid 2025-26 hardware refresh cycle. #BusinessNews #TechNews #LinkedinDaily #politics #economy #society #Technology #law #Environment #Operations #Finance #Management #Business #Strategy #HM #India #AI #PESTLE
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Cat Noone
Stark • 11K followers
🚨 FinTech Designers & Devs: India’s Supreme Court declared digital access a constitutional right—starting with every KYC flow. So if your design files, story tickets, etc. don’t have accessibility baked in, that tech‑debt clock is already ticking. Why this is important for you: → KYC screens = first impression. Exclude here and you violate Article 21. → No grace period. The court said now, so refactors happen in‑flight. Build it while you fly it! Startup style, I'm afraid... → WCAG 2.1 + India‑specific IS 17802 controls are the new definition of 'Done'. ⚡ Pro-Tip: the ruling lines up well with the European Accessibility Act (EAA) and Canada’s ACA. Different regulators, same outcome. So if you build "once" for global impact, you continuously ship faster to all markets. Measure twice, cut once. And Stark touches every area of the software development lifecycle to accelerate your time-to-accessibility — allowing you to continually monitor design and code regardless of a new project, in-flight, or retrofitting.
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Surya Kant
An econocrat and a strategic… • 28K followers
Expression of Interest from experienced #webdevelopment agencies (Preferably #Startups) for #website development aligned with startup incubation ecosystem requirements. The #website must have live dashboard and showcase features and may include features as startup application, programs, investor showcase, mobile-first UI/UX, SEO and strong data security. Interested organizations are requested to submit their proposal only via https://lnkd.in/g87Kuc54 #WebsiteDevelopment #StartupBusiness #Startup #Incubator Note: Considering the proposal is for Non-Profit organization the quotation should be in such financial frame, EOI submitted may be considered in only given formats.
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Prabhat Mishra
BharatPath - Bharat ka Apna… • 966 followers
🌟 **Exciting News: BharatPath - India’s First Indigenous Map API Provider is Launching Soon!** 🌟 We at Web Tech Infinity are thrilled to announce the development of BharatPath, a game-changer for India's mapping needs. Say goodbye to costly global map APIs and hello to an affordable, accurate, and secure alternative, designed specifically for the Indian market. What makes BharatPath special? - **API-First:** Built for developers, making integration seamless. - **Cost-Effective:** A solution that caters to local businesses without breaking the bank. - **Tailored for Indian Needs:** From logistics and delivery tracking to cab services and real estate, BharatPath will fuel a wide range of location-based innovations. Join us in this revolutionary movement to map India, the Indian way! Together, let’s promote indigenous innovation and build a robust digital infrastructure for our nation. Let’s create a digital India with BharatPath! #BharatPath #MapAPI #StartupIndia #WebTechInfinity #DigitalIndia #IndianStartups #LaunchingSoon #MadeInIndia #AtmanirbharBharat #GIS #TechForIndia #IndigenousInnovation
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Yogesh Sanjay Mayekar
660 followers
Why every D2C founder should care about synthetic monitoring Your website might be the heart of your brand, but do you know how fragile the ecosystem actually is? ✅ Your domain is registered with one company ✅ Your hosting/server is managed by another ✅ Your payment gateway is from a third provider ✅ And your customer experience depends on all of them working seamlessly — 24/7. But what if: ❌ DNS fails? ❌ Hosting slows down during peak hours? ❌ Payment gateway stops responding for 10 minutes? You lose sales. Customers bounce. Brand trust takes a hit. That’s why synthetic monitoring is no longer optional for D2C brands. It simulates user journeys — like add-to-cart, checkout, payment — every few minutes, ensuring all parts of your digital engine are running smooth. 🧠 Proactive monitoring = Issues caught before customers do 📊 Real-time alerts = Faster response, lesser damage 💡 Brand trust = Protected! At Unisky Technologies Pvt. Ltd., we help D2C brands monitor every touchpoint — from domain to delivery — with our real-time synthetic monitoring solution. Yogesh Shinde of Bamboo India would you like to share your experience with us?
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Dr. Anubhav Gupta
SARK Promotions • 5K followers
🚀 𝐈𝐬 𝐲𝐨𝐮𝐫 𝐬𝐜𝐡𝐨𝐨𝐥’𝐬 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐭𝐫𝐮𝐥𝐲 𝐬𝐞𝐭𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐟𝐢𝐫𝐬𝐭 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧? In today’s digital-first world, families expect lightning-fast page loads, seamless mobile navigation, and an inclusive experience for every visitor—including those with disabilities. That’s where Technical SEO comes in! 🌐✨ In our latest guide, “Technical SEO for Schools: Speed, Mobile-Friendliness & Accessibility,” you’ll learn how to: 𝐁𝐨𝐨𝐬𝐭 𝐏𝐚𝐠𝐞 𝐒𝐩𝐞𝐞𝐝 ⏱️ • Compress images and minify code • Leverage browser caching and a CDN • Monitor Core Web Vitals for stellar performance 𝐌𝐚𝐬𝐭𝐞𝐫 𝐌𝐨𝐛𝐢𝐥𝐞-𝐅𝐢𝐫𝐬𝐭 𝐃𝐞𝐬𝐢𝐠𝐧 📱 • Implement responsive layouts • Prioritize touch-friendly buttons and menus • Test across devices using Google’s Mobile-Friendly Tool 𝐄𝐧𝐬𝐮𝐫𝐞 𝐖𝐞𝐛 𝐀𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 ♿ • Add descriptive alt text for all images • Structure pages with proper heading hierarchy • Use ARIA labels and keyboard-navigation support 𝐌𝐚𝐢𝐧𝐭𝐚𝐢𝐧 𝐚 𝐇𝐞𝐚𝐥𝐭𝐡𝐲 𝐒𝐢𝐭𝐞 ⚙️ • Create and submit an XML sitemap • Fix broken links and redirect chains • Regularly audit with tools like Screaming Frog By tackling these technical foundations, your school will not only rank higher in search results but also deliver a superior user experience—driving more inquiries, applications, and community engagement. Ready to optimize your digital campus? 👉 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐨𝐬𝐭 𝐡𝐞𝐫𝐞: https://lnkd.in/dpEbk577 Let us know which tip you’ll implement first in the comments! ⬇️ #TechnicalSEO #SchoolMarketing #EdTech #WebPerformance #MobileFirst #Accessibility #DigitalAdmissions
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Puneet Suri
Asisa • 38K followers
It is well known from several studies that less than 1% of all startups seeking funding actually get funded. The numbers improve slightly as one from moves from seed funded companies to series A - but the % is still single digit. So if your startup plan depends on raising VC money or simply can’t exist without it - you need to think through every element. Most founders spend far more time in reaching out to VCs. But every decision, every pivot needs to be mapped through a VC lens. That’s exactly what Asisa’s Pre-Accelerator does: 1. Examines your idea like a VC would 2. Identifies what’s weak, unclear, or unfundable 3. Helps you pivot 4. Equips you with tools to stay aligned with the funding ecosystem Of course there's a cost attached but cost of your time and opportunity is far more. Go through the program guide at https://lnkd.in/g9zgDhnq #asisa #startupideashaker #thevcacademy #venturecapital
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Saurabh Srivastava
several • 6K followers
This Bengaluru-based deeptech startup is redesigning how India approaches fertility care, with AI-powered tools, robotic precision, and modular IVF labs built for Tier II and III cities. With IVF success rates rising from 35% to 50% at partner clinics, it’s reimagining fertility care beyond metros. In a country where 27 million couples struggle with infertility, this is what future-first, patient-centred innovation looks like. Read more: https://lnkd.in/gYVgqXcJ #AccessibleInnovation #FertilityTech #HealthEquity #DeeptechIndia #InclusiveHealthcare
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Satyanarayan Konka
vmedulife Software • 261 followers
A New Quality Education Policy for the AI Era: A Strategic Need for India In the AI-driven world, India needs a new quality-focused education policy. Merging UGC and other regulators into a single unified regulatory framework can improve governance, ensure consistent academic standards, and promote innovation. Such reforms will strengthen India’s education ecosystem, create global-level opportunities within the country, and help prevent the brain drain of Indian intellectuals.
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Rohith Sampathi
HNWI Chronicles • 5K followers
The most interesting thing about DLF's ₹5,590 crore sellout wasn't the speed. It was who bought. 47% were under 35. Tech founders, not legacy families. And they weren't buying homes, they were buying clusters. Three, four units at once. One for living, others for their core team. The old Gurugram buyer wanted to tell people they lived near the Oberoi. These new buyers? They just want to walk to work and reach their jets fast. So DLF Limited's entire strategy is shifting. Their next launch won't have advertisements or a sales office. It's invitation-only, near Aerocity. Because when your buyers value time over heritage, you stop selling prestige and start selling proximity. I'm seeing this pattern everywhere. That Brisbane mansion with the Ferrari mural that went viral? Bought by a 32-year-old crypto founder who never even visited. In watches, buyers under 40 are driving 69% of growth above $30k. They don't care about waiting lists or heritage stories. The entire luxury playbook is being rewritten by buyers who made their money in months, not generations. And most sellers haven't noticed yet. Gurugram went from ₹1,800 to ₹180,000 per sq ft in 25 years. The next multiplication will take 5. Because speed is the new luxury. Everything else is just nostalgia.
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