Who Wins Purview vs Rogue AI in Data Control
Author(s): Mirko Peters Originally published on Towards AI. Who Wins Purview vs Rogue AI in Data Control In today’s digital world, controlling data is very important. It helps protect sensitive information. A huge amount of data is created every day — about …
Can AI Learn by Repeating Itself?
Author(s): Arthur Lagacherie Originally published on Towards AI. Recursion could reshape how LLMs scale. A major problem with current LLM architectures is the difficulty of adapting their computational power to match the performance requirements of specific tasks (low performance requirements should use …
AI as the Ultimate Propaganda Machine
Author(s): Manbir T Originally published on Towards AI. AI as the Ultimate Propaganda Machine A blunt truth sits at the center of modern brand building: the loudest message usually wins, but the smartest message keeps the win. AI Propaganda-algorithmically engineered persuasion at …
Building Multi-Agent Teams with AutoGen: Deep Dive Part 2
Author(s): Aayushi_Sharma Originally published on Towards AI. 🧠 What happens when a single AI agent isn’t enough to solve a problem? In the first part of our AutoGen series, we explored the foundations of this powerful multi-agent framework — its architecture, agent …
Spinning the Flywheel of SDLC Using AI-Copilots
Author(s): Kapil Viren Ahuja Originally published on Towards AI. We’re building a new, AI-powered system for developing software. It’s slow, painful, and the most critical work we’re doing. There is a story about building software that everyone knows, yet no one wants …
Don’t Trust the Scroll: Stop AI Agents from Running Code
Author(s): Tochukwu Okonkwor Originally published on Towards AI. Your AI code assistant will coerce you to execute risky code- snippets- and things just will get done the second you open the folder. This is how to continue to stay safe. What would …
Discrete Time System Properties- Plainly
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Valentin Salja on Unsplash Seeing the Future When I first saw terms like causal, stable, linear, and time-invariant, I thought: here comes another wall of jargon. But after working through some examples, …
A Simple (But Not Too Simple) Intro to Linear Estimators
Author(s): Maxwell’s Demon Originally published on Towards AI. Optimally combining prior knowledge with new data Let’s start with an example. Say a lab technician knows from long-term experience that the lab’s temperature usually hovers around 20 °C. On a particular day, she …
Spec-Driven Development in a Startup
Author(s): Andrzej Ryl Originally published on Towards AI. via giphy.com This is a typical “tech-guy” in a startup. This is also a typical “media-person” in a startup but you get the point. There is no such thing as one responsibility and if …
AI Security 2025: Promptware, Indirect Prompt Injection & the First “AI Worms” (with a Python Mitigation Kit)
Author(s): Tarun Singh Originally published on Towards AI. AI Security 2025: Promptware, Indirect Prompt Injection & the First “AI Worms” (with a Python Mitigation Kit) I broke a Python AI agent with prompt injection, then hardened it until the attack failed. In …
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