Before I got a laptop, I used to work on my phone with a keyboard connected via an OTG. It wasn’t a fancy phone – just a Galaxy J2 with a micro-USB port. I used a membrane keyboard with a cheap $0.4 OTG adapter, but it got the job done. I put the savings towards a laptop and once I bought my first laptop, forgot all about that OTG hack I was using. Fast forward to 2026 – […]
Hey everyone, I recently built my first reinforcement learning agent to play Super Mario Bros and Super Mario World. I documented the whole process in a video, and would love any feedback from people who know RL. I’m still learning and I’m sure there are better approaches I missed. Happy to answer any questions about the process too. https://youtu.be/6FQKz-yAt5Y submitted by /u/Marcell0123 [link] [comments]
When traditional software breaks, debugging usually follows a familiar path: You look at logs → You replay the request → You reproduce the issue → Eventually you find the bug. But when an AI system breaks, something strange happens. You try to reproduce the same request — and the system gives you a completely different answer. The Incident A user once reported a strange response from our AI API. They sent us a screenshot showing the output the […]
A 56,000-star LLM app ships with raw string concatenation in its database connector. I found it, reported it, got the CVE. Here is the whole story and why it matters beyond the bug itself. I was not looking for anything complicated. I had been spending weeks reading through the source code of popular AI agent frameworks, and most of the time I was finding nothing. That is the reality of vulnerability research that nobody tells you about. It […]
AI agents are living in the absolute Golden Age. I bet you heard remarks to adapt Human-on-the-Loop, become 100x or Multi-Agent Orchestration at least once in the last few days. As a Group Product Manager overseeing content creation tools and social strategies, I see the massive ROI claims driven by genAI and agentic automation every single day. The world uses AI to write high-converting copy, schedule posts at predictive optimal times, fill in editorial gaps, target specific audiences, […]
Skin diseases are a major public health concern worldwide, and their detection is often challenging without access to dermatological expertise. In countries like Bangladesh, which is highly populated, the number of qualified skin specialists and diagnostic instruments is insufficient to meet the demand. Due to the lack of proper detection and treatment of skin diseases, that may lead to severe health consequences including death. Common properties of skin diseases are, changing the color, texture, and pattern of skin […]
Unless otherwise noted, all figures in this report are taken from official financial reports. The global personal luxury goods market is at an inflection point. After a decade of almost uninterrupted expansion, interrupted only briefly by COVID, the industry saw its first meaningful contraction in 15 years in 2024–2025, with the market stabilising at around €358 billion in 2025 (flat to -2% year-on-year). Approximately 50 million luxury consumers have exited the market since 2022, effectively wiping out the […]
The landscape of extremely low-resource machine translation (MT) is characterized by perplexing variability in reported performance, often making results across different language pairs difficult to contextualize. For researchers focused on specific language groups — such as ancient languages — it is nearly impossible to determine if breakthroughs reported in other contexts (e.g., native African or American languages) result from superior methodologies or are merely artifacts of benchmark collection. To address this problem, we introduce the FRED Difficulty Metrics, […]
Robust Support Vector Machines (R-SVMs) address feature noise by adopting a worst-case robust formulation that explicitly incorporates uncertainty sets into training. While this robustness improves reliability, it also leads to increased computational cost. In this work, we develop safe sample screening rules for R-SVMs that reduce the training complexity without affecting the optimal solution. To the best of our knowledge, this is the first study to apply safe screening techniques to worst-case robust models in supervised machine learning. […]
RPA (robotic process automation) is a practical and proven way to reduce manual work in business processes without AI systems. By using software bots to follow fixed rules, companies can automate repetitive tasks like data entry and invoice processing, and to a certain extent, report generation. Adoption grew quickly in many sectors, especially in finance, operations, and customer support. In recent years the technology has matured. While RPA is still used, business processes can become more complex. Many […]
