Commission notifies Meta of possible interim measures to reverse exclusion of third-party AI assistants from WhatsApp - digital-strategy.ec.europa.eu
<a href="https://news.google.com/rss/articles/CBMi1wFBVV95cUxNTnpFQVdlWWJGYmtXZW5ObGRYdzJvNkNublVyWk9CVjNkZTYxeTBoZWwtalNhWEFVdy01WU90LXRrLTYteF9sRGpoSjFFTmRleVFsLWt1bl9HQl9rQjRMYVk0ZDlUS3Zjblc4SDNDZUtuZms1R1pFYXBJS0UxMjY1RW5fVnpIYVN3T1lVSFJYeTJZNEdBQzY0WnY0TDd1dUs5dm1MUE9IU3pfQzhjSW1GV0g4Nkk2YVpwa3hFYTIzZlFyS3lHekVCZWNhdm15ajlmTVgwYTBBYw?oc=5" target="_blank">Commission notifies Meta of possible interim measures to reverse exclusion of third-party AI assistants from WhatsApp</a> <font color="#6f6f6f">digital-strategy.ec.europa.eu</font>
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Baidu’s AI Assistant Reaches Milestone of 200 Million Monthly Active Users - WSJ
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Claude Code Architecture Explained: Agent Loop, Tool System, and Permission Model (Rust Rewrite Analysis)
<h2> Claude Code Deep Dive (Part 1): Architecture Overview and the Core Agent Loop </h2> <p>Claude Code’s leaked source code weighs in at over <strong>510,000 lines of TypeScript</strong>—far too large to analyze directly.</p> <p>Interestingly, a community-driven Rust rewrite reduced that complexity to around <strong>20,000 lines</strong>, while still preserving the core functionality.</p> <p>Starting from this simplified version makes one thing much clearer:</p> <blockquote> <p>What does an AI agent system <em>actually need</em> to work?</p> </blockquote> <h2> Why Start with the Rust Rewrite? </h2> <p>On March 31, 2026, Claude Code’s full source was unintentionally exposed due to an npm packaging mistake.</p> <p>The package <code>@anthropic-ai/claude-code v2.1.88</code> included a <strong
Preliminary Explorations on Latent Side Task Uplift
TL;DR . This document presents a series of experiments exploring latent side task capability in large language models. We adapt Ryan’s filler token experiment into a more AI Control-like setup with main task and side task and find that Claude Opus 4.5 can solve harder arithmetic problems latently when it has a longer trajectory. This shifts its 50% accuracy threshold from ~5-step to ~6-step problems after 240 lines of irrelevant output. However, we don’t observe strong evidence to believe that current generation of models generally benefit much from wider parallel compute enabled by longer trajectories with the exception of Opus 4.5. Code is made available here GitHub . Longer Agent Outputs Can Increase Side Task Capability. Claude Opus 4.5's latent arithmetic accuracy as a function of pro
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