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 OpenAI's 'goblin' problem matters — and how you can release the goblins on your own

If OpenAI can accidentally train its flagship model to obsess over goblins, what other more subtle and potentially harmful ...
The Hacker News

New Python Backdoor Uses Tunneling Service to Steal Browser and Cloud Credentials

DEEP#DOOR embeds a Python RAT in a dropper script, using bore[.]pub C2 to steal credentials and evade Windows defenses, ...
Hosted on MSN

How AI Is Rewriting the Rules of Excel and Business Computing in 2026

If you are a university student preparing for a career in finance or data analytics, the skills you are learning in your business computing and Excel courses are undergoing a radical transformation.
IEEE

Practical Reinforcement Learning Using Time-Efficient Model-Based Policy Optimization

Abstract: In this paper, we propose practical model-based policy optimization (PMBPO) to address the time efficiency issue caused by overly frequent model updates in recent probabilistic model-based ...
InfoWorld

SpaceX secures option to acquire AI coding startup Cursor for $60B

The rocket company says the deal would pair Cursor’s coding models with SpaceX’s Colossus supercomputer, raising questions ...
IEEE

Transfer Reinforcement Learning Controller Using Gaussian Reward Function for DC–DC Switching Converters With Constant Power Load

Abstract: This article presents a model-free neural network (NN) controller design methodology based on transfer reinforcement learning (TRL) with Gaussian reward shaping, implemented and validated on ...