February 2026

Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) have advanced rapidly in recent years and have been successfully applied to e-learning environments like intelligent tutoring systems (ITSs). Despite great success, the broader application of DRL to educational technologies has been limited due to major challenges such as sample inefficiency and difficulty designing the reward function. In contrast, Apprenticeship Learning (AL) uses a few expert demonstrations to infer the expert’s underlying reward functions and derive decision-making policies that generalize […]

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When Competition Becomes Clarity I’ve attended dozens of tech festivals. Most follow a familiar rhythm: morning keynotes, afternoon workshops, evening networking with samosas. You leave inspired, maybe connected, but rarely changed. Walking into AI FEST 2026 at Chandigarh University in February, I expected more of the same. What I witnessed instead was something I haven’t seen in India’s student innovation circuit—a festival that forced people to stop pretending they were building and actually build. This matter because India’s […]

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I recently submitted Nullmail to Proof of Usefulness, and it scored +76 – officially “in business”! Here’s why this project matters. What It Is Nullmail is a verifiable, open-source privacy tool with active development and organic traction. While early-stage (approx. 10,000 monthly inboxes), the project’s ‘privacy-first’ architecture is validated by its open GitHub repository and recent ‘battle-testing’ against domain flagging (Cloudflare). It effectively solves a specific problem (disposable email) without data collection, positioning it as a high-utility tool […]

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A Blade Runner riff for a world where the lobster ships paid endpoints while humans still argue about the roadmap. The shift that matters for agent commerce – From “Crypto AI” to general AI Today, you can search the web all day and never see an invoice. n That happens because you are not the paying client. n The commerce runs through ads, affiliate deals, and platform incentives, so results often optimize for who pays, not for what […]

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==I tested eight piano apps on two pianos for three weeks. Here’s what I’d actually recommend.== If you search for “best piano learning app” today, you will find dozens of comparison articles that all rank roughly the same eight products, yet almost none of them analyze the actual technology under the hood. That is a missed opportunity, because in my opinion one of the biggest factors separating these apps is not their song library or their color scheme. […]

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Existing Graphical User Interface (GUI) agents operate through step-by-step calls to vision language models–taking a screenshot, reasoning about the next action, executing it, then repeating on the new page–resulting in high costs and latency that scale with the number of reasoning steps, and limited accuracy due to no persistent memory of previously visited pages. We propose ActionEngine, a training-free framework that transitions from reactive execution to programmatic planning through a novel two-agent architecture: a Crawling Agent that constructs […]

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Table of Links Abstract and 1. Introduction 2. Financial Market Model and Worst-Case Optimization Problem 3. Solution to the Post-Crash Problem 4. Solution to the Pre-Crash Problem 5. A BSDE Characterization of Indifferences Strategies 6. The Markovian Case 7. Numerical Experiments Acknowledgments and References Appendix A. Proofs from Section 3 Appendix B. Proofs of BASDE Results from Section 5 Appendix C. Proofs of (CIR) Results from Section 6 6. The Markovian Case The last proposition associates the indifference […]

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Table of Links Abstract and 1. Introduction 2. Financial Market Model and Worst-Case Optimization Problem 3. Solution to the Post-Crash Problem 4. Solution to the Pre-Crash Problem 5. A BSDE Characterization of Indifferences Strategies 6. The Markovian Case 7. Numerical Experiments Acknowledgments and References Appendix A. Proofs from Section 3 Appendix B. Proofs of BASDE Results from Section 5 Appendix C. Proofs of (CIR) Results from Section 6 5. A BSDE Characterization of Indifference Strategies In the previous […]

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Table of Links Abstract and 1. Introduction 2. Financial Market Model and Worst-Case Optimization Problem 3. Solution to the Post-Crash Problem 4. Solution to the Pre-Crash Problem 5. A BSDE Characterization of Indifferences Strategies 6. The Markovian Case 7. Numerical Experiments Acknowledgments and References Appendix A. Proofs from Section 3 Appendix B. Proofs of BASDE Results from Section 5 Appendix C. Proofs of (CIR) Results from Section 6 4. Solution to the Pre-Crash Problem It is now left […]

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Safety Is Not a Switch, It Is a Process For a long time, AI safety seemed like something you could install. You specified constraints, tested for edge cases, built guardrails, and deployed with confidence. This paradigm was fine when systems were largely static. It starts to break when systems change. Today, AI systems do not merely follow pre-programmed logic. They learn. They adapt. They interact with other agents. In multi-agent settings, systems negotiate, compete, coordinate, and sometimes, game […]

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