This digest covers April 10–12, 2026. Anthropic Ships Dispatch, Letting Claude Take Over Your Mac Source: https://www.therundown.ai/p/anthropic-claude-remote-computer-use-dispatch Anthropic released a research preview that gives Claude direct control of your Mac desktop — clicking, typing, and navigating across apps while you’re away from the keyboard. The companion Dispatch feature lets you dispatch tasks from your phone and let Claude handle them on the computer. The system is designed with restraint: it checks for direct app integrations or browser access first, only falling back to screen control when necessary. Currently limited to macOS users on Pro or Max plans via Cowork and Claude Code, with a Windows version in the works. Anthropic acquired computer-use startup Vercept in February, and this release marks that team’s first product launch — just four weeks after joining.

This issue covers news from April 5 to April 8, 2026. Anthropic Launches Project Glasswing, Claude Mythos Discovers Thousands of Zero-Day Vulnerabilities Source: https://www.anthropic.com/glasswing Anthropic unveiled Project Glasswing, a security initiative developed in partnership with major tech companies. Claude Mythos Preview autonomously identified thousands of zero-day vulnerabilities across major operating systems and browsers. These capabilities will be used to detect and fix security vulnerabilities at scale. Anthropic plans to develop safeguards and broaden industry cooperation to address security challenges in the AI era.

Google Releases Gemma 4 Open Models, Switches to Apache 2.0 License Source: https://www.latent.space/p/ainews-gemma-4-the-best-small-multimodal Google DeepMind officially launched the Gemma 4 series on April 2. The release includes four model variants: a 31B dense model, a 26B MoE model (A4B with ~4B active parameters), and two lightweight edge models E2B and E4B designed for mobile and IoT devices. The headline change is the license—Gemma 4 adopts Apache 2.0, a dramatic shift from the commercial restrictions that constrained earlier Gemma releases. Developers can now freely modify, deploy, and commercialize these models without monthly active user caps or usage restrictions.

This issue covers news from April 1 to April 3. Anthropic’s Rough Week: Claude Code Source Code Fully Exposed Source: https://thenewstack.io/anthropic-claude-code-leak/ Anthropic has had a difficult week. On March 26, Fortune reported that a CMS configuration error exposed nearly 3,000 internal files, including a draft announcement for a new model codenamed “Mythos” (internally also called “Capybara”), described as the company’s “most capable AI model to date.” Less than a week later, on March 31, security researcher Chaofan Shou discovered that Anthropic had accidentally included a 59.8MB source map file in the Claude Code v2.1.88 npm package.

Yann LeCun’s $1B Challenge to LLMs: AMI Labs Launches Source: https://amilabs.xyz/ Yann LeCun’s Advanced Machine Intelligence (AMI Labs) officially launched after leaving Meta, raising $1.03 billion in a seed round at a $3.5 billion valuation. This is one of the largest AI seed rounds this year. LeCun left Meta in November after 12 years, telling Mark Zuckerberg he could build world models “faster, cheaper, and better” on his own. AMI’s systems aim to simulate how the physical world works, targeting manufacturing, robotics, wearables, and healthcare.

This edition covers news from March 24 to March 27. OpenAI Opens Its Model Spec Methodology, AI Safety Enters Engineering Phase Source: https://openai.com/index/our-approach-to-the-model-spec OpenAI published a comprehensive article detailing its “Model Spec” development methodology. This isn’t just a behavioral guideline—it’s a complete behavioral framework engineering effort. The post explains the spec’s structural design: from high-level intent to specific Chain of Command hierarchies, from hard safety boundaries to overridable default behaviors, to interpretive aids like decision rubrics and concrete examples.

Shield AI Raises $2 Billion, Valuation Doubles to $12.7 Billion Source: https://www.nytimes.com/2026/03/26/business/dealbook/shield-ai-drones-aechelon-fund-raising.html Shield AI announced a $2 billion funding round today, bringing its valuation to $12.7 billion—more than double the $5.3 billion it reached just a year ago. Part of the proceeds will go toward acquiring Aechelon Technology, a smaller defense-tech startup specializing in simulation software. Shield AI’s flagship product is Hivemind, an AI-powered autonomous flight system that operates without GPS or remote control, enabling drones to make decisions in complex environments. The system is already deployed by military forces including Ukraine’s, with real-world battlefield experience feeding back into rapid technical iteration.

This edition covers news from 03-09 to 03-10. AI labs / official announcements OpenAI: Improving instruction hierarchy in frontier LLMs OpenAI introduced what it calls the “IH-Challenge”: a training/evaluation approach aimed at making models follow instruction hierarchy more reliably. The practical goal is simple: system instructions should outrank developer instructions, which should outrank user instructions—without being “talked out of it” by downstream prompts. They frame it as a safety-and-product problem at the same time: better steerability and stronger resistance to prompt injection. Link: https://openai.com/index/instruction-hierarchy-challenge

This edition covers news from March 3 to March 5. Google DeepMind Gemini 3.1 Flash-Lite: Built for Intelligence at Scale Google DeepMind released Gemini 3.1 Flash-Lite, the fastest and most cost-efficient model in the Gemini 3 series. Designed for large-scale AI deployments, it significantly reduces inference costs and latency while maintaining high-quality outputs. Key Points: Speed and cost optimization: Faster inference and lower costs compared to Gemini 3.1 Flash Use cases: Large-scale deployments, real-time applications, cost-sensitive projects Performance balance: New sweet spot between speed and quality My Take: Google’s model family strategy is maturing. From Pro to Flash to Flash-Lite, they now cover the full spectrum from premium to cost-effective. This tiered approach lets developers choose the right model for their specific scenario, rather than being forced to choose between “expensive or mediocre.” Flash-Lite is particularly noteworthy—it could make AI viable for many applications previously blocked by cost constraints.

A packed day: OpenAI and Google release new models on the same day, Apple refreshes its entire Mac lineup, Cursor’s revenue doubles explosively, and Anthropic’s standoff with the U.S. government intensifies. One word sums it up — acceleration.