Instagram launched its collaborative post feature nearly five years ago, allowing multiple accounts to be listed as authors on the same post. Creators and brands have…

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Lots of influential people in tech last week were describing Moltbook, an online hangout populated by AI agents interacting with one another, as a glimpse into ...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Moltbook was peak AI theater For a few days recently, the hottest new hangout on the internet was a vibe-coded Reddit clone called Moltbook, which billed itself ...

Robots are entering their GPT-3 era. For years, researchers have tried to train robots using the same autoregressive (AR) models that power large language models (LLMs). If a model can predict the next word in a sentence, it should be able to predict the next move for a robotic arm. However, a ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline that logs prompt versions, prompt diffs, model outputs, and multiple quality metrics in a fully ...

For years, our newsroom has explored AI’s limitations and potential dangers, as well as its growing energy needs. And our reporters have looked closely at how generative tools are being used for tasks such as coding and running scientific experiments.  But how is AI actually being used in fields ...

Creating Ad copies and blog content, enabling data collection, optimizing campaigns, processing customer data to build detailed personas, and even automating your entire marketing workflow from lead nurturing to conversion tracking. AI is growing so fast that it can heavy-lift the majority of your ...

Data Engineering is not just about moving data from point A to point B. In 2026, data engineers are expected to design scalable, reliable, cost-efficient, and analytics-ready data systems that support real-time decision making, AI workloads, and business intelligence. Modern data engineers work at ...

How close can an open model get to AlphaFold3-level accuracy when it matches training data, model scale and inference budget? ByteDance has introduced Protenix-v1, a comprehensive AlphaFold3 (AF3) reproduction for biomolecular structure prediction, released with code and model parameters under ...

In this tutorial, we walk through an advanced, end-to-end exploration of Polyfactory, focusing on how we can generate rich, realistic mock data directly from Python type hints. We start by setting up the environment and progressively build factories for data classes, Pydantic models, and ...

AI has evolved far beyond basic LLMs that rely on carefully crafted prompts. We are now entering the era of autonomous systems that can plan, decide, and act with minimal human input. This shift has given rise to Agentic AI: systems designed to pursue goals, adapt to changing conditions, and ...

Virtual assistants in business are changing fast. Massive enterprise systems like OpenClaw pack hundreds of thousands of lines of code, but nanobot challenges the idea that bigger automatically means better. With just 4000 lines of Python, it delivers core AI assistant capabilities in a ...