blog@Yantrajaal

Using the Google Stack for LLM-Based Astrology Can an LLM-based AI provide astrological advice and guidance? Given the fact that LLM platforms like ChatGPT and Claude, along with their agentic AI extensions, have been demonstrating mind-bending performance in complex, cognitive tasks, the question is no more academic. If they can perform complex logical analysis of science and mathematics problems, astrology should be easy. Not quite. There are certain challenges.  Having looked at the issue of using computers to perform, or at least assist with, astrological predictions for over 20 years, the problem is fascinating. We know that the computational aspect -- calculating positions, etc., -- is completely deterministic and hence algorithmic. This can be done with conventional programming. However, the next part, the interpretation of horoscopes is extremely tricky because there are literally thousands and thousands of conditional situations -- programmatically referred to as IF-THEN-E...

----- For more such slide decks - see The Silicon Stack Rare Earth Elements

  Ever since OpenAI dropped ChatGPT into the world, things haven't been the same. Sure, AI as a concept goes back to Alan Turing -- the father of modern computing -- but ChatGPT forced it right into our daily conversations. Today, you can hardly talk about the future without bringing up AI: how incredible it is on one hand, and the darker fears on the other -- lost jobs, or even machines replacing human companionship. This obsession feels intimately familiar to me. It takes me back to the frenzy around computer science -- or IT -- at the turn of the century. Fueled by Y2K, India convinced itself that the direct path to corporate nirvana ran straight through companies like Infosys, TCS, and Wipro. Students rushed into IT from every branch of engineering, and soon from almost every other background too, leaving almost everything else behind. It didn't matter what you studied or if you even liked coding. What mattered was that doing basic software work for American companies was t...

The Śiva Kalpataru Hymn is an anonymous, late-classical or medieval devotional hymn rooted in regional Shaiva temple traditions. It is different from the Twelve-Syllable Bhujangaprayāta Śivāṣṭakam attributed to Ādi Śaṅkarācārya, that is composed in the Bhujangaprayāta meter (literally "the gliding motion of a snake"). The Śiva Kalpataru Hymn survived and spread not through royal courts or famous philosopher-saints, but through generations of devotees chanting it together as a living prayer to Lord Śiva, the Wish-Fulfilling Tree. This Hymn is particularly prominent in the devotional Shaiva traditions of Eastern and Coastal India -- most notably in Odisha, Bengal, and parts of Bihar and Chhattisgarh. Because it was preserved as an oral chant rather than a rigidly fixed scholarly treatise, the text exhibits classic features of a fluid folk-liturgical origin. This is apparent from Modular Stanzas: Over centuries, lines from other popular Shaiva hymns (such as descriptions of Trip...

 Ego, Shadow, and Medium 1 Vector Art / Silhouette 2. Stippling / Ink Pointillism 3. Charcoal / Chalk Drawing 4. Monochrome Watercolour 5. Pop Art / Half Tone 6. Vector Art / Silhouette 7. Etching / Engraving 8. Graphic Novel / Comic Book 9. Linocut / Block Print 10 Pencil / Graphite Sketch

Education has to meet students where they’re actually hanging out. Right now, Gen Z is getting a massive chunk of their information from a quick scroll through YouTube Shorts or Instagram Reels. Instead of fighting that reality, open universities should run with it, and the entire engine of this shift will be driven by a pure attention economy. Picture this: universities lay out their curriculum publicly, then open the doors for digital creators to turn those dense syllabi into sharp, engaging, bite-sized videos. But here is the kicker: creators get paid based entirely on raw audience retention, specifically, view counts and exact time spent on screen. This is the ultimate "Uberization" of higher ed, fueled by performance metrics. The dominant model shifts from standard licensing fees to a direct payout for keeping eyeballs glued to educational content. If a creator’s video hooks a student and keeps them watching till the final second, they get paid premium rates. If viewers...