MIT’s trying a new route for “greener” AI agents—basically cutting down the heavy compute cycles by rethinking how the models reason, not just how they’re trained. If they can actually prove out faster logic with less energy burn, it’s the kind of quiet efficiency upgrade that could matter more than the next flashy model size bump.