CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing

‘Google’s Top AI Brains Are Leaving to Launch Discovery Loop’

Steven Levy, writing for Wired: Today it’s official: After almost 27 years, Dean is leaving Google, along with Ghemawat and two other top-tier AI scientists, to found a company called Discovery Loop .

• Google AI researchers Dean, Ghemawat, Vinyals, and Le leaving to form Discovery Loop.
• Discovery Loop includes Vinyals, a VP of research at DeepMind and Gemini technical lead.
• Company's exodus could impact Google's AI competitiveness in rapidly evolving landscape.

2026-08-07 ·wired.com

A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy

LLM inference accounts for over 90% of AI operational energy, scaling directly with input token count---a critical inefficiency for telecom network analytics and numerical time-series data analysis…

2026-08-07 ·arxiv.org

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents

Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also creates a central falsifiability problem: when the world changes, stale memories can…

2026-08-07 ·arxiv.org

Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits

Diffusion Large Language Models (DLLMs) replace autoregressive next-token prediction with iterative parallel denoising, yet their internal safety mechanisms remain poorly understood.

2026-08-07 ·arxiv.org