PINAKI LASKAR

I do not know what I may appear to the world, but to myself I seem to have been only like a boy playing on the seashore, diverting myself in now and then finding a smoother pebble or a prettier shell than ordinary, whilst the great ocean of truth lay all undiscovered before me.

Anthropic just released a fascinating study on WHICH JOBS AI IS ACTUALLY REPLACING and which ones it’s merely assisting.

Can you think of an answer? Name a word that can be read the same upside down if it’s typed in all capital letters…

Because vibe coding has matured to a point that it is impossible to ignore. And it can be experienced by everybody with very modest effort. Any executive who does not at least spend one day exploring what is possible this year is failing their organisation.

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AI systems don’t own Reality. Most AI failure narratives focus on: - Epistemic failures: The model didn’t know enough; - Ethical failures: People didn’t care enough; - Compliance failures: Not enough policies or oversight; But the real failures are architectural.

For those deploying LLMs in regulated industries : Legal, Finance, Healthcare - Fluent text is not enough. You need measurable reasoning depth. Long Answers Don’t Mean Deep Reasoning, How to Measure LLM Reasoning Depth in High-Stakes Domains.

AI Governance is Not a Safety Problem. It is a Sovereignty Problem. At that point, humans are supervising not governing. Supervision is not sovereignty. If governance does not exist architecturally at runtime, if human authority can be optimised away, then control has shifted.

Compliance is not a PDF, It is infrastructure. We are building a governance API designed to move you from black box uncertainty to verifiable operational control. Apply to the Act or shut down your AI.

AI as Resonance Engine - Human in the Loop. You think AI understands you. But here’s what’s actually happening. AI does not understand you. It recognises patterns that resemble people who sound like you.

The Next AI Breakthrough Isn’t Bigger Models. It’s Smarter Thinking. We’ve been obsessed with scaling GPT models for years. Bigger models. More parameters. More data. More GPUs. And it worked. Training-time scaling gave us dramatic leaps in capability.

Reasoning Architecture Is the Real ROI Problem in Agentic AI. Reasoning accuracy is the key for ROI on Agentic AI products and solutions. The recipe of success lives in your Reasoning Architecture, and it changes by use case.

The easiest task for a human is sometimes the hardest task for AI. AI needs data. We need instinct. Machines process language. Humans decode meaning. What’s something you instantly understand that would confuse an algorithm..

Quantum AI is not only a future vision — it’s already happening in specific domains. One powerful example is time series modeling. Hybrid quantum – classical approaches are showing real promise where patterns are complex, data is noisy, and classical models hit limits.

Who Will Win the Future - AI-Powered Human Brain or Human Brain? AI won’t replace humans. But humans who know how to work with AI will move ahead of those who don’t. The future isn’t about choosing sides. It’s about collaboration. #AIforGood

Why your AI Strategy might fail? The Uncomfortable truth: The biggest obstacle to AI adoption isn’t technology, its Human. We have celebrated experts, problem-solvers. That very identity or the desire to be the smartest person in the room, can quietly become the biggest blocker.

If you could replay any AI-assisted decision in your org, step-by-step, with clear human ownership attached… what would you be comfortable letting agents touch that you won’t today? Most AI “governance” still lives in PDFs and slide decks. But all the risk lives in execution.

“What happened after the AI produced an output?”❓ Most AI governance frameworks stop at the same place. That moment between output and action — is now the most important control in the organisation. And that’s exactly where audit lives today.

AI is still a tool, Critical thinking is still the skill that matters most. AI is an excellent sparring partner — not a decision-maker or source of truth. Artificial Intelligence is increasingly positioned as a solution for speed, efficiency, and decision-making.

How are you approaching AI governance this year? 🔸Auditable intelligence: 🔸Inclusive data sovereignty: 🔸AI responsibility: