The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...
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Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it
Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
Why did OpenAI have to write "never mention goblins" into its production code on ChatGPT? The company has published a ...
The maker of ChatGPT has an explanation for all the goblin talk ...
For at least a year, some ChatGPT users have noticed the LLM’s quirky habit of bringing up goblins, gremlins, trolls, and other creatures in its answers. The weird tic apparently became more common as ...
In the distant future, after such a being has become the master of an Earth without humans, it may ask the oracle of Delphi: ...
Professor Aaron Ames of the California Institute of Technology joins WIRED to answer the internet’s burning question about ...
Thomas Kurian’s Google Cloud Next keynote framed Google’s agentic AI vision. Here are five key takeaways for IT leaders.
How AIX might be ushering in a new AI control paradigm, with interesting agentic safety implications
Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...
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