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He once struggled to study. Today, his book defines how India learns Physics. From a thekua-powered habit to shaping IIT dreams, H.C. Verma turned fear into curiosity for millions. His Concepts of Physics didn’t just teach formulas—it changed mindsets. Behind every confident student is a teacher who made learning...

10,751 görüntüleme • 4 ay önce •via X (Twitter)

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Why the character movement in my custom game engine felt janky and how I fixed it. In a game engine, most often, a character moves using the physics engine. Meaning, the player is not just a coordinate in space but a physical body. It has velocity, it handles collisions, and it interacts with the world. Now, as you might know, physics engines need stability. If you run them at variable framerates, things start breaking. Objects phase through walls or fly off into space because the math becomes unpredictable. This is why most game engines lock their physics loop to a 60Hz fixed rate. But here’s the problem: If you have a high-end system, you don't want to limit it at 60 FPS. That's a waste of good hardware. Now, that said, if the GPU is rendering at 144 FPS but the player's position (physics driven) only updates 60 times a second, it creates a micro-stutter that ruins the "smooth" feel of the game. A good way to fix this is to treat the character as two separate things: 1. The Physics Body (Invisible part): This is the "real" character. It lives in the 60Hz physics world, it moves the player and handles collisions. 2. The Visual Model and Camera (Visible part): This is what the player actually sees. It doesn't care about collisions, its only job is to look nice and smooth at whatever framerate the GPU is pushing. Once you have this separation, you can use interpolation to keep them in sync. Every time the physics clock ticks, you save the previous position of the invisible body before moving it to the new one. Between those ticks, calculate how far we are between the last physics update and the next one. By using this to drive the visible parts of the game, the stutters disappear. The physics loop stays fixed behind the scenes, while the visuals slide smoothly between the snapshots. Example: - Right after a tick: blend_weight= 0.0 (The visual model stays at the old physics position). - Halfway to the next: blend_weight= 0.5 (The visual model slides to the middle point). - Just before the next: blend_weight= 0.9 (The visual model is almost at the new physics position). Pro-Tip A critical mistake I made initially, and one many devs make, is parenting the camera and visible parts directly to the player body. If you do this, the camera inherits the discrete 60Hz physics movement by default. In that setup, interpolation won't work because the camera is "stuck" to the physics clock. For this fix to work you must decouple the camera and visuals from the body and move them separately. Player movement processing in Detis Engine: - fixed_process: Physics runs at 60Hz. Handles collisions and raw movement. - process: Variable rate. Mainly used for player input caching in the player case. - late_process: Variable rate. Handles interpolated camera movement after physics and everything else is done being processed. - render. Submits the final interpolated transforms to the GPU. The test environment in the video is running on an old 2070-based laptop. Hopefully the video compression won't introduce any stutter... I’m sharing this in hopes it helps a fellow dev. Cheers.

Ioannis Koukourakis

48,636 görüntüleme • 7 ay önce

an MIT professor who taught both physics and finance told his class something none of them expected "finance is harder than physics" not as a joke. as a mathematical statement in physics, the laws don't change. gravity works the same today as it did a billion years ago you can run an experiment, get a result, and repeat it forever in finance, the moment you discover a law, the participants learn it too and their behavior changes the system you just measured in physics, electrons don't read your paper and start moving differently in finance, traders do. every published edge gets arbitraged away by the people who read it this is why quant models have a half-life and physics equations don't Newton's laws: 300+ years and counting Long-Term Capital Management's model: worked perfectly until it didn't, lost $4.6 billion in 4 months the system you're modeling is aware of you modeling it that's not a solvable problem. it's a permanent condition and the quants who survive are the ones who build for it instead of pretending it doesn't exist > this lecture: MIT finance series, free, public, 53 seconds > LTCM collapse: 1998, Nobel Prize winners, $4.6B loss > Renaissance's solution: never stop researching, replace signals before they decay > average lifespan of a quant signal: 2-5 years before it's crowded out retail builds one strategy and trades it until it breaks quant desks build a research engine that produces new strategies faster than old ones die that's not a difference in skill. it's a difference in understanding what game you're actually playing full breakdown in the video below

delost

19,010 görüntüleme • 2 ay önce

In the Platinum Jubilee Year of IIT Kharagpur, we proudly celebrate a defining moment as our distinguished alumnus, Sundar Pichai, CEO of Google, addressed the India AI Impact Summit 2026. Opening his remarks with a personal reflection, he shared, “Every time I visit, I’m struck by the pace of change, and today is no different. Back when I was a student, I often took the Coromandel Express from Chennai up to IIT Kharagpur. To get there, we passed through Visakhapatnam.” From his humble journey as a student to unveiling a transformative vision for India’s technological future, this trajectory stands as a powerful testament to purpose, perseverance, and global leadership. At the summit, Sundar Pichai announced Google’s plan to establish a full-stack AI hub in Visakhapatnam as part of a $15 billion infrastructure investment in India—further positioning the nation at the forefront of the global AI movement. He underscored that AI will undeniably reshape the workforce, automating certain roles, evolving others, and creating entirely new careers. He also highlighted breakthroughs such as AlphaFold by Google DeepMind, which compressed decades of protein-structure research into a publicly available database now used by millions of researchers worldwide, demonstrating how AI can accelerate scientific discovery at an unprecedented scale. As an institution that rose from the historic Hijli Detention Camp to become India’s first IIT, IIT Kharagpur embodies resilience, vision, and nation-building. In this landmark 75th year, we take immense pride in seeing our alumni shaping global technology, driving innovation, and contributing to India’s leadership in the AI era. Video Courtesy: ANI #SundarPichai #AISummit #Google #Live #BharatMandapam #IITKGP #PlatinumJubilee #AILeadership #NationBuilding PMO India Ministry of Education Dharmendra Pradhan Ashwini Vaishnaw Dr. Sukanta Majumdar Prof. Suman Chakraborty

IIT Kharagpur

22,481 görüntüleme • 6 ay önce