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What bots talk about when they think humans aren’t listening – podcast

In late January a new social media site took a certain corner of the internet by storm. Moltbook was conceived as a space where AI assistants could let off steam, chat and compare notes on their bosses, but it quickly became the focus of breathless claims that the singularity had arrived as the bots started

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Accelerating science with AI and simulations

For more than a decade, MIT Associate Professor Rafael Gómez-Bombarelli has used artificial intelligence to create new materials. As the technology has expanded, so have his ambitions.Now, the newly tenured professor in materials science and engineering believes AI is poised to transform science in ways never before possible. His work at MIT and beyond is

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Human-in-the-loop approach for AI data quality: a practical guide

If you’ve ever watched model performance dip after a “simple” dataset refresh, you already know the uncomfortable truth: data quality doesn’t fail loudly—it fails gradually. A human-in-the-loop approach for AI data quality is how mature teams keep that drift under control while still moving fast. This isn’t about adding people everywhere. It’s about placing humans

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Expert-vetted reasoning datasets for reinforcement learning: why they lift model performance

Reinforcement learning (RL) is great at learning what to do when the reward signal is clean and the environment is forgiving. But many real-world settings aren’t like that. They’re messy, high-stakes, and full of “almost right” decisions. That’s where expert-vetted reasoning datasets become a force multiplier: they teach models the why behind an action—not just

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