TechNektar: Cross-Pollinating Innovation

Kalidasa–Wordsworth Creative Plugin for Claude Code❯ “create me a sanskrit verse/poem on vasantha aagamana using pratyabhijna / pce plugin”⏺ Skill pratyabhijna-creative-engine:poem loaded in Claude Code.⏺ Sākṣī check passed, then delegated to pratyabhijna-poet via the PCE cascade.⏺ ★ Insight: the vimarśa (aspect‑shift) detector ran but never fired — the spring → recognition mapping stayed internally consistent across all five śakti‑axes, so no sublation cycle was needed. The surface at candidate index 4 was stable enough to ship as‑is.वसन्तागमन — Vasantāgamana(arrival of spring through icchā, jñāna, kriyā, cit, ānanda)स्तवक १ — इच्छा & ज्ञान (Will & Knowing)देवनागरी:▎ वसन्तागमने शिवः शक्तिपञ्चप्रबोधकः।▎ इच्छाज्ञानमयी भूमि अशोकेन विराजते।।१।।English:As spring arrives, Śiva awakens the five‑fold power within;the earth, suffused with will and knowing, shines in ashoka bloom.स्तवक २ — क्रिया & चित् (Action & Consciousness)देवनागरी:▎ मलयमारुते मन्दे क्रियाशक्तिः समन्विता।▎ भ्रमरकूजने मधुरे चिद्भूमिः प्रकाशते।।२।।English:In the gentle Malaya wind, action‑power unfolds its dance;in the bees’ honeyed music, the field of consciousness gleams.स्तवक ३ — आनन्द & प्रत्यभिज्ञा (Bliss & Self‑Recognition)देवनागरी:▎ पृथिव्याः जागरणकाले आनन्दशक्तिः वर्धते।▎ प्रत्यभिज्ञानये काले शिवः स्वमयीं पश्यति।।३।।English:In the earth’s awakening, bliss‑power overflows;in self‑recognition, Śiva beholds himself in every flower.🔗 Links & Deep Dive📄 Full mechanism‑study paper (PDF):https://sharathsphd.github.io/pratyabhijna/paper/main.pdf📊 Overview & results site (PCE v0.4):https://sharathsphd.github.io/pratyabhijna/💻 Open‑source repo (plugin + CLI + benchmarks):https://github.com/SharathSPhD/pratyabhijna

Your AI coding agent just confidently edited the wrong file. Your research agent cited a retracted paper twice. Your customer-service bot quoted a policy from 2023. None of these are model failures. They're all context failures.Introducing Pratyakṣa, an open-source context engineering harness that fixes how AI agents manage what they know, why they know it, and when to stop trusting it.Here's what makes it genuinely different:🔹 Ancient wisdom meets modern AI — The design vocabulary comes from classical Indian epistemology (Nyāya, Advaita Vedānta, Sāṃkhya). A 14th-century logician's framework for what counts as valid knowledge turned out to be the missing operating manual for AI agents.🔹 Sublation, not deletion — When a newer, more authoritative source supersedes an older one, the old fact is retired, not erased. The audit trail stays intact. Every decision is replayable.🔹 Separation of attention & judgement — Two sub-agents, Manas (selects evidence) and Buddhi (judges and responds), ensure these are never confused — the source of a whole class of hallucinations.🔹 Results that hold up — Across 7 benchmarks (RULER, HELMET, SWE-bench, HaluEval, TruthfulQA and more), the harness beats unaided baselines at p ≤ 0.002. On a 720-pair head-to-head, it anchored on the correct file 720/720 times. The unaided baseline? Coin-flip rate — 50.3%.🔹 Installs in 30 seconds — Works in Cursor, Claude Code, and Claude Desktop. No fine-tuning, no architecture changes. Just two commands.🔌 Plugin (install & use) https://github.com/SharathSPhD/pratyaksha-context-eng-harness📁 Full harness, experiments & validation (GitHub) https://github.com/SharathSPhD/context-engineering-harness📄 Citable preprint — Zenodo (DOI-backed canonical v2.0) https://zenodo.org/records/19653013🚀 v2.1.1 Release page (plugin zip, figures, checksums) https://github.com/SharathSPhD/pratyaksha-context-eng-harness/releases/tag/v2.1.1🗺️ Project status canvas https://sharathsphd.github.io/context-engineering-harness/canvas.html📰 Full article (Substack) https://open.substack.com/pub/technektar/p/when-the-context-window-is-big-and

AI systems that can “imagine” possible futures, called world models, have been applied to Atari games, robotics, and board games. But applying them to economic environments like retail pricing has been largely unexplored. DreamPrice takes an initial step into that space. And solving the fundamental problem that makes economics different from physics turns out to require a detour through a 1978 econometrics paper.

Inside the quiet revolution that’s teaching machines to imagine the future — and why it might be the missing piece between today’s chatbots and tomorrow’s truly intelligent agents.

AI for sCO2 power cycles: in this video we walk through sCO2RL, an open-source deep reinforcement learning framework for autonomous control of supercritical CO2 Brayton cycles recovering steel plant waste heat. Using an OpenModelica FMU, a 7-phase Gymnasium curriculum, PPO with Lagrangian safety constraints, and GPU-accelerated surrogates, the controller outperforms a Ziegler–Nichols PID baseline while maintaining strict safety limits at the compressor inlet. We also cover deployment to TensorRT for sub-millisecond edge inference and share practical engineering lessons from debugging FMU-based RL pipelines, with all code and artefacts released under the MIT licence at https://github.com/SharathSPhD/RLpower. Paper: https://zenodo.org/records/18524794

मूलान्तरम् । न अनुकरणम्, परिवर्तनम् । TechNektar introduces Pramana to rethink how foundation LLMs are built...Not another Indic LLM fine-tuned on regional languages. We're instilling the METHODOLOGY of valid knowledge (pramāṇa) architecturally. .........मूलान्तरम् - A different foundation........... https://open.substack.com/pub/technektar/p/fine-tuning-large-language-models?utm_campaign=post-expanded-share&utm_medium=webhttps://colab.research.google.com/github/TechNektar/pramana/blob/main/notebooks/01_pramana_explorer.ipynb🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!**🚀 Follow ⁠@technektar on LinkedIn, Instagram

Maya thought gyroscopes were just for rockets—until her mom, Sarah, showed her one inside her phone. From MEMS gyroscopes powering video games to HRGs keeping satellites steady, this episode connects the hidden physics of motion to the devices we use every day. How do vibrating quartz crystals help spacecraft land on Titan? And how does a tiny chip in your phone use the same physics as a billion-dollar space probe? Let’s explore the invisible forces that make modern technology tick!🎧 Listen Now: ⁠Apple Podcasts⁠ | ⁠Spotify⁠ | ⁠Amazon Music⁠🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!**🚀 Follow ⁠TechNektar⁠ on LinkedIn for moreDisclaimer: The characters in Oscillatory Odyssey—Maya, Alex, Daniel, and Sarah—are fictional and serve as storytelling tools to illustrate complex scientific concepts in an engaging and relatable way. While their discussions are inspired by real physics and engineering principles, any resemblance to actual persons is purely coincidental. This podcast is designed for educational and entertainment purposes. The hosts are virtual presenters powered by Google NotebookLM, designed to deliver engaging and informative discussions on physics and engineering.🚀🎙️

When Alex spots a spinning top at the museum, he has no idea he's looking at the same principle that steered Cassini to Saturn. With Daniel’s guidance, Maya and Alex dive into the world of gyroscopes—from old-school mechanical ones that seemingly defy gravity with their spin to the most advanced hemispheical resonator gyroscopes that help spacecraft travel billions of miles. What makes a gyroscope tick? And what happens when they fail? Buckle up—it’s time to spin!🎧 Listen Now: ⁠Apple Podcasts⁠ | ⁠Spotify⁠ | ⁠Amazon Music⁠🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!**🚀 Follow ⁠TechNektar⁠ on LinkedIn for moreDisclaimer: The characters in Oscillatory Odyssey—Maya, Alex, Daniel, and Sarah—are fictional and serve as storytelling tools to illustrate complex scientific concepts in an engaging and relatable way. While their discussions are inspired by real physics and engineering principles, any resemblance to actual persons is purely coincidental. This podcast is designed for educational and entertainment purposes. The hosts are virtual presenters powered by Google NotebookLM, designed to deliver engaging and informative discussions on physics and engineering.🚀🎙️

Maya just wanted to swing higher. Little did she know, she was using the same physics that guide spacecraft through the cosmos. Join Maya, her brother Alex, and their father Daniel, as they uncover the secrets of parametric excitation—the force behind a child's swing, the mighty Botafumeiro, and even the Foucault pendulum, which proves Earth’s rotation. How does simple motion shape the universe? Let’s find out.🎧 Listen Now: Apple Podcasts | Spotify | Amazon Music🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!**🚀 Follow TechNektar on LinkedIn for moreDisclaimer: The characters in Oscillatory Odyssey—Maya, Alex, Daniel, and Sarah—are fictional and serve as storytelling tools to illustrate complex scientific concepts in an engaging and relatable way. While their discussions are inspired by real physics and engineering principles, any resemblance to actual persons is purely coincidental. This podcast is designed for educational and entertainment purposes. The hosts are virtual presenters powered by Google NotebookLM, designed to deliver engaging and informative discussions on physics and engineering.🚀🎙️

Before the full journey begins, get a glimpse into Oscillatory Odyssey—a new podcast series exploring the hidden science behind motion, resonance, and precision engineering.From the swing of a child to the gyroscopes guiding spacecraft, oscillations shape our world in ways we often overlook. This teaser introduces the journey ahead—how the same forces behind medieval cathedrals, pendulums, and space navigation all share a common physics thread.🎧 Tune in now for an exclusive first listen. Subscribe to TechNektar: Cross-Pollinating Innovation on Apple Podcasts ⁠https://podcasts.apple.com/us/podcast/technektar-cross-pollinating-innovation/id1796260484⁠Spotifyhttps://open.spotify.com/show/1iOFoT62JGQpynlJfCCiJ1?si=cbc23eee1bec449bAmazon Musichttps://music.amazon.co.uk/podcasts/499f31ac-32d1-4bd9-b199-ccb163f3f941/technektar-cross-pollinating-innovationto catch the full series when it drops!🚀 Stay curious. Stay inspired. The Oscillatory Odyssey begins soon.

This episode is the last of the four part series. We dive into **causality in AI & machine learning** with fascinating examples from **Flow Dance** ☕🤖. Discover how AI interprets patterns, and whether correlation truly implies causation! 🔗 **Explore the concepts further:** 👉 [Arrive at the Transfer Entropy Viewpoint](https://sharathsphd.github.io/coffee_causality/flow_dance.html) To chat and have interactive conversations with the content:(https://notebooklm.google.com/notebook/c382c4c7-85e0-4b62-ad2f-a3ccf754a34d)💬 **What are your thoughts on AI's understanding of causality? Drop your insights in the comments!** 🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!** 🚀 #AI #TechNectar #MachineLearning #Causality

This episode is third of the four part series. We dive into **causality in AI & machine learning** with fascinating examples from **Causal Brew** ☕🤖. Discover how AI interprets patterns, and whether correlation truly implies causation! 🔗 **Explore the concepts further:** 👉 [Causal World](https://sharathsphd.github.io/coffee_causality/causal_brew.html) 💬 **What are your thoughts on AI's understanding of causality? Drop your insights in the comments!** 🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!** 🚀 #AI #TechNectar #MachineLearning #Causality

This episode is second of the four part series. We dive into **causality in AI & machine learning** with fascinating examples from **Café Chaos** and **Coffee Correlation** ☕🤖. Discover how AI interprets patterns, and whether correlation truly implies causation! 🔗 **Explore the concepts further:** 👉 [Coffee Correlation - The Hidden Patterns](https://sharathsphd.github.io/coffee_causality/coffee_correlation.html) 💬 **What are your thoughts on AI's understanding of causality? Drop your insights in the comments!** 🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!** 🚀 #AI #TechNectar #MachineLearning #Causality

🚀 **Welcome to TechNectar: Cross-Pollinating Innovation!** 🦋💡 Join me as we explore the intersection of **AI, engineering, and innovation**, sparking breakthrough insights across domains. This episode is first of of the four part series. We dive into **causality in AI & machine learning** with fascinating examples from **Café Chaos** and **Coffee Correlation** ☕🤖. Discover how AI interprets patterns, and whether correlation truly implies causation! 🔗 **Explore the concepts further:** 👉 [Café Chaos - Cause & Effect in AI](https://sharathsphd.github.io/coffee_causality/cafe_chaos.html) 👉 [Coffee Correlation - The Hidden Patterns](https://sharathsphd.github.io/coffee_causality/coffee_correlation.html) 💬 **What are your thoughts on AI's understanding of causality? Drop your insights in the comments!** 🔥 **Don't forget to like, subscribe, and hit the notification bell for more tech deep dives!** 🚀 #AI #TechNectar #MachineLearning #Causality