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Google is making a deliberate push into professional services, unveiling specialized versions of its Gemini AI tailored for legal and financial workers. The Google Cloud editions come with domain-specific skills, data connectors, and permission structures designed to respect the ethical walls firms already have in place. No pricing has been announced yet, but the intent is clear — Google wants enterprise AI to feel less like a general tool and more like a trained colleague.
On the research frontier, scientists have achieved ninety-eight percent fidelity transmitting data through open air using laser beams, shielded by magnetic structures called skyrmions. The breakthrough matters because wireless optical links have historically fallen apart under wind and heat. If this holds up at scale, it could offer a compelling alternative to fiber in places where laying cable simply isn't practical.
And in the AI evaluation space, a new benchmark called Terminal-Bench-Science is asking a pointed question: can AI agents actually handle the messy, multi-step reality of scientific research workflows? It's part of a growing effort to move AI testing beyond clean parlor tricks and toward something that reflects how knowledge work actually gets done.
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