Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Morning Overview on MSN
Why gaming laptops fail so often, according to repair pros
Gaming laptops promise desktop-class performance in a backpack, but repair benches tell a different story. High failure rates ...
In this week’s edition of The Prototype we look at the biggest tech breakthroughs of 2025–and the year’s best music.
Cryptopolitan on MSN
China urges Netherlands to correct Nexperia ‘mistakes’ as global semiconductor tensions intensify
China demands Netherlands reverse Nexperia chipmaker takeover, calling Dutch actions "mistakes" that disrupt global ...
A financial “security” is nothing more than a claim on some stream of cash flows that investors expect to be delivered into ...
As the war grinds on, sophisticated Russian defenses have pushed Ukraine to develop a frightening new weapon: semiautonomous ...
We find out more about the movement afoot to be able to fix things you own — it's called "right to repair." ...
Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...
In 1987, wildlife veterinarian Mark Pokras was in his office at Tufts University in Massachusetts when a colleague from New ...
Lenovo’s record $20.5 billion quarterly revenue, with 30% coming from AI-related products and services, proves its strategic ...
The scope of all human knowledge is, understandably, so massive that no one person can manage to fully comprehend even a ...
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