Ishan Gupta
@code_igx
25 🇮🇳, Hustler @RITtigers NY 🇺🇸 | RnD on Quantum AI, Superintelligence & Systems | Ex- @Broadcom @VMware
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Interview with Nikhil
Running robot
.@elonmusk "One way to frame civilizational progress is the percentage completion on the Kardashev scale. Kardashev I is what percentage of a planet's energy are you successfully turning into useful work. Concept II would be, what percentage of the sun's energy are you…
Test-time scaling of diffusions with flow maps This paper is pretty cool, providing a better to guide image generation with a reward function. The standard approach evaluates the reward function on intermediate steps to get a reward gradient to modify sampling. However the…
This Google's paper from last year came almost unnoticed by the public, but it's really an alternative architecture to the transformer that proves more parameter-efficient and effective on similar tasks. As you might know, Transformers scale quadratically with sequence length.…
Why has neural B-frame video compression lagged behind P-frame methods despite its potential for better performance with bi-directional references? This study addresses this gap by tackling unbalanced reference frame contributions in hierarchical coding—their BRHVC method uses…
Agentic AI Overview This report provides a comprehensive overview of architectures, applications, and future directions. Great read for AI devs and enthusiasts. It introduces a new dual-paradigm framework that categorizes agentic systems into two distinct lineages: the…
OPPO AI Agent Team introduces O-Mem, an Omni Memory System for LLM Agents It brings personalized, long-horizon, self-evolving capabilities to conversational AI by actively profiling users and supporting hierarchical retrieval for adaptive responses.
DeepSeekMath-V2 tech report is on arXiv now. DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning Paper: arxiv.org/abs/2511.22570
New MIT paper asks what really caused big AI efficiency gains and finds most of them come from scaling, not tiny tricks. They challenge an earlier claim of about 22000x algorithm gains over a decade and argue the true figure is far smaller. In small experiments they toggle…
Swarm intelligence has a secret. The standard approach treats swarms as collections of independent learners. Each agent makes decisions, learns from outcomes, and coordination somehow emerges. More agents, more complexity, more mystery. But what if the swarm itself is the…
This is the paper that started all of modern AI. When they say "This is the ImageNet moment for X," they mean this paper. I'm happy that Geoffrey Hinton allowed me to host his papers on ChapterPal. There are many of them that I would classify as must-reads. The series starts…
Banger paper from DeepSeek. Math AI models have a fundamental problem. (bookmarks this one!) The issue isn't accuracy on benchmarks. It's that correct answers don't mean correct reasoning. Models can brute-force solutions numerically, guess, or stumble into right answers…
New ByteDance paper shows how to use the image itself as feedback so text to image models actually improve. In human tests the new training method wins about 70% of head to head matchups on how good the images look. Many existing reward scores love specific quirks, like…
I just read this paper called "Chain-of-Visual-Thought (COVT)" and it basically teaches VLMs to see and think at the same time not in text, but in continuous visual tokens. Here’s the wild part: Instead of forcing models to reason through words (which destroys all the…
SpaceX is accelerating rapidly. When Starship is launching several times a day in a few years, SpaceX will be ~99% of all Earth payload mass to orbit, even if the others triple their current launch rate.
🚀 T͢h͢e͢ ͢Q͢3͢ ͢L͢a͢u͢n͢c͢h͢ ͢R͢e͢p͢o͢r͢t͢ ͢j͢u͢s͢t͢ ͢c͢a͢m͢e͢ ͢o͢u͢t͢🚀 For kg launched to orbit, SpaceX has 97% share for the U.S. and 83% globally. The eight Chinese launchers add up to 8.6%. Looking into the graph's magnifying box, IDF just nudged past Rocket Lab.
All done with my new course on Deep Representation Learning this semester. All lecture slides and video recordings are now available at the book website: ma-lab-berkeley.github.io/deep-represent… We believe, with the book, they help students clarify basic concepts and principles of Intelligence.
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