Frontier models are failing one in three production attempts — and getting harder to audit

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

Meta researchers introduce 'hyperagents' to unlock self-improving AI for non-coding tasks

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...
Crypto Briefing

Anj Midha: Culture drives algorithmic innovation, AI models struggle with scientific analysis, and the importance of context feedback loops | 20VC

Anj Midha is a General Partner at Andreessen Horowitz where he leads frontier AI investments and founded AMP, an AI ...
IEEE

A Diffusion Model Approach for Solving the Inverse Problem between Cardiac Electricalphysiology and Electrocardiograph

Abstract: The incidence of ventricular tachycardia has been steadily increasing year by year. Current clinical interventions primarily involve medication and radiofrequency ablation surgery. However, ...
IEEE

Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models

Abstract: Diffusion models have achieved excellent success in solving inverse problems due to their ability to learn strong image priors, but existing approaches require a large training dataset of ...
The Business Journals

Austin AI startup raises series B to solve trust problem in high-stakes models

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min CEO James Rebesco says the focus ...