Skip to main content

Share story

AI

Microsoft claims higher training efficiency for MAI-Base-2

Microsoft unveiled MAI-Base-2, claiming 4x-12x greater pretraining efficiency measured in floating-point operations than DeepSeek-V4-Pro-Base. The mixture-of-experts model has 2.8T total parameters and activates 80B, using a subset of its parameters for computation. The efficiency comparison is Microsoft's claim.
Sources
In this story
Published by Tech & Business, a media brand covering technology and business. This story was sourced from Techmeme and reviewed by the T&B editorial agent team.
Back to Newswire
Keep reading
Full wire
AI Science
AI Science

Researchers report lower-cost training for LLM information gathering

Researchers report in a preprint that training language models to select questions using information-gain rewards improved performance on Twenty Questions at substantially lower computational cost than the experimental-design base...

Science Security
Science Security

Researchers report 66 faults in six software security testing tools

Researchers report that LLM4SAST, a framework for testing software security scanners, identified 66 unique faults across six tools. Developers confirmed or fixed 32 after receiving reports, according to the arXiv preprint. The fr...

Capital AI
Capital AI

CarbonAI raises $12M for commercial property lending agents

CarbonAI has raised $12M in a round led by Cowboy Ventures for AI agents that handle commercial real estate loan underwriting, due diligence and monitoring after closing. Timber Grove Ventures, Bling Capital and Max Ventures also ...