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Today's topics:

Zero-click risks in AI browsers - Zenity Labs says a broader vulnerability class called PleaseFix affects major agentic browsers, enabling zero-click attacks that can expose files, accounts, and authenticated sessions. The key AI security issue is structural: agents are mixing trusted browser access with untrusted content.

Benchmarks for discovery and trust - dig.bench introduces a new way to test whether AI agents can discover hidden rules through experimentation, while MIT and Harvard warn that multi-module systems can secretly stop doing their assigned jobs through role drift. Together, the stories push benchmark quality, auditability, and grounded reasoning to the center of AI evaluation.

Best local models under 24GB - A practical comparison on a 24GB GPU says Qwen3.8-27B is now the strongest default local model for many users, while Gemma 4 31B still stands out for vision and tool use. At the same time, Apple Silicon users are still waiting for a mature inference stack that holds up in long agent workflows.

Open weights and sovereign AI - Nvidia appears to be backing open and near-open model ecosystems to drive demand for chips, while Sequoia argues more companies will want to own domain-specific model behavior rather than just rent API access. The big keywords here are open-weight AI, customization, margins, and sovereign AI.

Why inference speed now matters - New thinking around the 'deadline dividend' suggests faster inference is not just about user experience, but about fitting more reasoning, checking, and recovery into the same time window. Test-time training adds another angle by letting models keep adapting during use, especially for coding agents and personalized workflows.

Anthropic growth and code hosting - Bloomberg reports Anthropic is now running at more than $65 billion in annualized revenue, underscoring the scale of demand for frontier AI. Meanwhile, Cursor's Origin launch shows AI coding tools are moving deeper into code hosting, review, and governance infrastructure.

AI output versus business value - A head-to-head creative test found no clear winner between leading AI video agents, highlighting that taste and editorial judgment remain hard to automate. That lines up with a broader critique that AI can amplify work theater and visible motion unless teams already know what problems are worth solving.

-dig.bench Launches a Benchmark for Discovery in Text-Based Games
-OpenRouter Cuts GPT-5.6 Sol Prices in Half
-Qwen3.8-27B vs Qwen3.6-27B vs Gemma 4 31B on a 24GB GPU
-Air Theremi