Machines Are Learning: Beyond the Hype, What’s Really Happening?
Hi, I’m Alex Petrov. I build agent systems – the kind of machine learning that interacts with the world, makes decisions, and learns from experience. You hear a lot about AI these days, and “machines are learning” is a phrase that often comes with a mix
Agentic AI News: The Autonomous Systems Taking Shape in 2026
As an ML engineer working directly with agent systems, I’ve seen firsthand how quickly the field of artificial intelligence is evolving beyond static models. We’re no longer just training neural networks to predict or classify; we’re building entities that can plan, reason, and act independently
Hey there, AgntAI.net crew! Alex Petrov here, fresh off a particularly spicy debugging session that reminded me just how much we’re still figuring out in the world of AI agents. Today, I want to talk about something that’s been gnawing at me, something I see tripping up a lot of teams, especially those moving from
Lil Miquela has 2.5 million Instagram followers, brand deals with Prada and Calvin Klein, and a music career. She’s also entirely fake — a CGI character with an AI-generated personality and a team of humans deciding what she posts.
When I first encountered Lil Miquela in 2019, I thought it was a novelty. Now there are
Model Optimization: Real Talk on Fixing Bad Habits
Ever spent weeks training a model only to find out it runs slower than your grandma with a dial-up internet connection? Let me tell you, I’ve been there, and it’s a pretty frustrating place to be. But here’s the kicker: most of these issues aren’t about fancy
AI in climate change is one of the most impactful applications of artificial intelligence. From optimizing energy grids to predicting extreme weather, AI is helping humanity understand and address the climate crisis.
How AI Helps Fight Climate Change
Energy optimization. AI optimizes energy production, distribution, and consumption. Google’s DeepMind reduced cooling energy in its data centers
Reinforcement Learning from Human Feedback (RLHF) is the technique that transformed raw language models into the helpful, harmless AI assistants we use today. Understanding RLHF explains why ChatGPT, Claude, and other assistants behave the way they do.
What RLHF Is
RLHF is a training technique that uses human preferences to fine-tune AI models. Instead of training
Ollama has made running large language models locally dead simple. If you want to run AI models on your own computer without sending data to the cloud, Ollama is the easiest way to do it.
What Ollama Is
Ollama is an open-source tool that lets you download and run large language models locally on your Mac,
Hey everyone, Alex here from agntai.net! Today, I want to talk about something that’s been buzzing in my head for a while, particularly as I’ve seen more and more “AI agent” projects pop up in the wild, often with… interesting… results. We’re going to dive into the architecture of reliable AI agents, specifically focusing on
AI regulation is evolving rapidly around the world, and keeping up with the changes is essential for anyone building or deploying AI systems. Here’s a comprehensive update on the global AI regulatory landscape.
The EU AI Act
The EU AI Act is the most comprehensive AI regulation in the world:
Risk-based approach. AI systems are classified by