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The Effortless Podcast

The Effortless Podcast

De : Dheeraj Pandey Amit Prakash
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Join longtime friends and entrepreneurs Dheeraj Pandey, founder of DevRev, and Amit Prakash, co-founder of ThoughtSpot, on The Effortless Podcast as they explore the art of building, innovating, and thriving in tech—without losing sight of what really matters. With decades of experience scaling companies and navigating risk, Dheeraj and Amit tackle tough questions for modern entrepreneurs: How can startups feel effortless in the face of endless challenges? What does “long-term greedy” mean when aligning personal growth with team success? Whether you're a seasoned founder, a new entrepreneur, or just curious, The Effortless Podcast offers something for everyone in the journey of building with purpose. Direction Economie Management et direction
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    Épisodes
    • Quantum, AI & Data: In Conversation with Dr. Abhishek Bhowmick - Episode 22: The Effortless Podcast
      Feb 22 2026

      In this episode of The Effortless Podcast, Dheeraj Pandey speaks with Dr. Abhishek Bhowmick about how quantum mechanics reshaped our understanding of determinism and why that shift matters for AI today.

      From the Einstein–Bohr debates to the idea that nature is fundamentally probabilistic, they explore how the collapse of “if-then” thinking began nearly a century ago. The discussion draws parallels between quantum superposition and modern LLM behavior. At its core, the episode reframes AI as a rediscovery of how reality computes.

      The conversation then moves from physics to computing architecture, tracing the evolution from scalar CPUs to GPUs, TPUs, tensors, and eventually quantum computing. They examine why probabilistic systems and vector math feel more natural than purely deterministic software. Hybrid computing models show that classical systems still matter. The episode also unpacks what quantum computers are truly good at, especially in cryptography and simulation. Ultimately, it reflects on whether the future of computing lies in embracing probability rather than resisting it.

      Key Topics & Timestamps

      00:00 – Welcome, context, and how Dheeraj & Abhishek met
      04:00 – Abhishek’s journey: IIT, Princeton, Apple, Snowflake
      08:00 – The 1927 Solvay Conference and physics at a crossroads
      12:00 – Einstein vs. Bohr: determinism vs. probability
      16:00 – Superposition and the collapse of the wave function
      20:00 – Fields vs. particles: what is an electron really?
      25:00 – Matter particles, force particles, and the Standard Model
      30:00 – Transistors, voltage, and the rise of deterministic computing
      35:00 – From scalar CPUs to vectors and matrices
      40:00 – Tensors, linear algebra, and modern AI systems
      45:00 – Principle of Least Action and gradient descent parallels
      50:00 – Hallucinations, probability mass, and LLM behavior
      55:00 – Vector databases, embeddings, and KNN search
      59:00 – GPUs vs. TPUs: matrix vs. tensor architectures
      1:05:00 – What quantum computers are actually good at
      1:10:00 – Post-quantum cryptography and the future of computing

      Host -

      Dheeraj Pandey
      Co-founder & CEO at DevRev. Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work.

      Guest -

      Dr Abhishek Bhowmick Co-Founder and CTO of Samooha, a secure data collaboration platform acquired by Snowflake. He previously worked at Apple as Head of ML Privacy and Cryptography, System Intelligence, and Machine Learning, and earlier at Goldman Sachs. He attended Princeton University and was awarded IIT Kanpur’s Young Alumnus Award in 2024.

      Follow the Host and Guest -

      Dheeraj Pandey:

      LinkedIn - https://www.linkedin.com/in/dpandey

      Twitter - https://x.com/dheeraj

      Abhishek Bhowmik

      LinkedIn – https://www.linkedin.com/in/ab-abhishek-bhowmick

      Twitter/X – https://x.com/bhowmick_ab

      Share Your Thoughts

      Have questions, comments, or ideas for future episodes?
      📩 Email us at EffortlessPodcastHQ@gmail.com

      Don’t forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, systems, and product design.

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      1 h et 15 min
    • Alex Dimakis: The Future of Long-Horizon AI Agents - Episode 21: The Effortless Podcast
      Jan 6 2026
      In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey are joined by Alex Dimakis for a wide-ranging, systems-first discussion on the future of long-horizon AI agents that can operate over time, learn from feedback, adapt to users, and function reliably inside real-world environments.The conversation spans research and industry, unpacking why prompt engineering alone collapses at scale; how advisor models, reward-driven learning, and environment-based evaluation enable continual improvement without retraining frontier models; and why memory in AI systems is as much about forgetting as it is about recall. Drawing from distributed systems, reinforcement learning, and cognitive science, the trio explores how personalization, benchmarks, and context engineering are becoming the foundation of AI-native software.Alex, Dheeraj, and Amit also examine the evolution from SFT to RL to JEPA-style world models, the role of harnesses and benchmarks in measuring real progress, and why enterprise AI has moved decisively from research into engineering. The result is a candid, deeply technical conversation about what it will actually take to move beyond demos and build agents that work over long horizons.Key Topics & Timestamps 00:00 – Introduction, context, and holiday catch-up04:00 – Teaching in the age of AI and why cognitive “exercise” still matters08:00 – Industry sentiment: fear, trust, and skepticism around LLMs12:00 – Memory in AI systems: documents, transcripts, and limits of recall17:00 – Why forgetting is a feature, not a bug22:00 – Advisor models and dynamic prompt augmentation27:00 – Data vs metadata: control planes vs data planes in AI systems32:00 – Personalization, rewards, and learning user preferences implicitly37:00 – Why prompt-only workflows break down at scale41:00 – RAG, advice, and moving beyond retrieval-centric systems46:00 – Long-horizon agents and the limits of reflection-based prompting51:00 – Environments, rewards, and agent-centric evaluation56:00 – From Q&A benchmarks to agents that act in the world1:01:00 – Terminal Bench, harnesses, and measuring real agent progress1:06:00 – Frontier labs, open source, and the pace of change1:11:00 – Context engineering as infrastructure (“the train tracks” analogy)1:16:00 – Organizing agents: permissions, visibility, and enterprise structure1:20:00 – SFT vs RL: imitation first, reinforcement last1:25:00 – Anti-fragility, trial-and-error, and unsolved problems in continual learning1:28:00 – Closing reflections on the future of long-horizon AI agentsHosts:Amit PrakashCEO & Founder at AmpUp, Former engineer at Google AdSense and Microsoft Bing, with deep expertise in distributed systems, data platforms, and machine learning.Dheeraj PandeyCo-founder & CEO at DevRev, Former Co-founder & CEO of Nutanix. A systems thinker and product visionary focused on AI, software architecture, and the future of work.Guest:Alex DimakisAlex Dimakis is a Professor in UC Berkeley in the EECS department. He received his Ph.D. from UC Berkeley and the Diploma degree from NTU in Athens, Greece. He has published more than 150 papers and received several awards including the James Massey Award, NSF Career, a Google research award, the UC Berkeley Eli Jury dissertation award, and several best paper awards. He is an IEEE Fellow for contributions to distributed coding and learning. His research interests include Generative AI, Information Theory and Machine Learning. He co-founded Bespoke Labs, a startup focusing on data curation for specialized agents.Follow the Hosts and the Guest: Dheeraj Pandey:LinkedIn - https://www.linkedin.com/in/dpandeyTwitter - https://x.com/dheerajAmit Prakash:LinkedIn - https://www.linkedin.com/in/amit-prak...Twitter - https://x.com/amitp42Alex Dimakis:LinkedIn - https://www.linkedin.com/in/alex-dima...Twitter - https://x.com/AlexGDimakis Share Your Thoughts Have questions, comments, or ideas for future episodes?📩 Email us at EffortlessPodcastHQ@gmail.comDon’t forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, systems, and product design.
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      1 h et 32 min
    • The Structured vs. Unstructured Debate in Business Software - Episode 20: The Effortless Podcast
      Dec 15 2025

      In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey dive deep into one of the most important shifts happening in AI today: the convergence of structured and unstructured data, interfaces, and systems.

      Together, they unpack how conversations—not CRM fields—hold the real ground truth; why schemas still matter in an AI-driven world; and how agents can evolve into true managers, coaches, and chiefs of staff for revenue teams. They explore the cognitive science behind visual vs conversational UI, the future of dynamically generated interfaces, and the product depth required to build enduring AI-native software.

      Amit and Dheeraj break down the tension between deterministic and probabilistic systems, the limits of prompt-driven workflows, and why the future of enterprise AI is “both-and” rather than “either-or.” It’s a masterclass in modern product, data design, and the psychology of building intelligent tools.

      Key Topics & Timestamps

      00:00 – Introduction
      02:00 – Why conversations—not CRM fields—hold real ground truth
      05:00 – Reps as labelers and the parallels with AI training pipelines
      08:00 – Business logic vs world models: defining meaning inside enterprises
      11:00 – Prompts flatten nuance; schemas restore structure
      14:00 – SQL schemas as the true model of a business
      17:00 – CRM overload and the friction of rigid data entry
      20:00 – AI agents that debrief and infer fields dynamically
      23:00 – Capturing qualitative signals: champions, pain, intent
      26:00 – Multi-source context: transcripts, email threads, Slack
      29:00 – Why structure is required for math, aggregation, forecasting
      32:00 – Aggregating unstructured data to reveal organizational issues
      35:00 – Labels, classification, and the limits of LLM-only workflows
      38:00 – Deterministic (SQL/Python) vs probabilistic (LLMs) systems
      41:00 – Transitional workflows: humans + AI field entry
      44:00 – Trust issues and the confusion of the early AI market
      47:00 – Avoiding “Clippy moments” in agent design
      50:00 – Latency, voice UX, and expectations for responsiveness
      53:00 – Human-machine interface for SDRs vs senior reps
      56:00 – Structured vs unstructured UI: cognitive science insights
      59:00 – Charts vs paragraphs: parallel vs sequential processing
      1:02:00 – The “Indian thali” dashboard problem and dynamic UI
      1:05:00 – Exploration modes, drill-downs, and empty prompts
      1:08:00 – Dynamic leaves, static trunk: designing hierarchy
      1:11:00 – Both-and thinking: voice + visual, structured + unstructured
      1:14:00 – Why “good enough” AI fails without deep product
      1:17:00 – PLG, SLG, data access, and trust barriers
      1:20:00 – Closing reflections and the future of AI-native software

      Hosts:

      Amit Prakash – CEO and Founder at AmpUp, former engineer at Google AdSense and Microsoft Bing, with extensive expertise in distributed systems and machine learning

      Dheeraj Pandey – Co-founder and CEO at DevRev, former Co-founder & CEO of Nutanix. A tech visionary with a deep interest in AI, systems, and the future of work.


      Follow the Hosts:

      Amit Prakash
      LinkedIn – Amit Prakash I LinkedIn
      Twitter/X – https://x.com/amitp42

      Dheeraj Pandey
      LinkedIn –Dheeraj Pandey | LinkedIn

      Twitter/X – https://x.com/dheeraj

      Share your thoughts :

      Have questions, comments, or ideas for future episodes?
      Email us at EffortlessPodcastHQ@gmail.com

      Don’t forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, technology, and innovation.

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      1 h et 22 min
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