Thinking Ahead: DeepMind’s New Way to Teach Models Foresight
DeepMind's new 'prospective credit assignment' method trains models to anticipate the downstream value of their own reasoning steps, aiming at faster self-correction in agentic AI.
DeepMind's new 'prospective credit assignment' method trains models to anticipate the downstream value of their own reasoning steps, aiming at faster self-correction in agentic AI.
Utah's AI chatbot Doctronic can now refill prescriptions without a doctor visit, sparking a national debate over accountability and patient safety.
From many particular things we form a single idea that captures what they share and ignores the rest.
A search for the lowest point can end in a valley that is low but not lowest.
To find the bottom of a valley in fog, take small steps downhill.
Search enough data and you will find relationships that mean nothing.
Toss a fair coin a few times and the results are erratic; toss it many times and the fraction of heads settles near one half.
Is the world's apparent chance real, or merely hidden order we cannot trace? The question divides deterministic systems that only look random from processes that may be random at the root.
We build systems of axioms and rules hoping to capture a domain completely and mechanically.
Throw something into a black hole and it seems to vanish, and when the hole slowly evaporates, its information appears lost forever.