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Good morning. It’s Monday, May 5th.

On this day in tech history: 2025: Skype shuts down after 22 years of service.

In today’s email:

• Anthropic + Apple Team Up

• Deep Dive Into Long Context with Google

• 3 New AI Tools

• Latest AI Research Papers

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Apple Partners with Anthropic to Launch AI-Powered ‘Vibe-Coding’ Platform

Apple has partnered with Anthropic to create a "vibe-coding" platform for automating code generation, editing, and testing. The new system, designed to enhance Apple’s Xcode, will integrate Anthropic's Claude Sonnet AI model. "Vibe coding," which leverages AI agents to write code, is gaining momentum in the industry. While Apple plans to use the platform internally, a public release is yet to be decided. This collaboration follows delays with Apple’s Swift Assist AI tool for Xcode, furthering its push to incorporate AI into its devices.

In a separate development, Anthropic is offering current and former employees the opportunity to cash out up to 20% of their shares, with a cap of $2 million per person. This buyback, valued at $61.5 billion based on its March funding round, applies to staff who have been with the company for at least two years. Anthropic, founded by former OpenAI researchers and now employing over 800 people, is expected to complete the buyback by month’s end.

Related Story: Claude’s AI research mode now runs for up to 45 minutes before delivering reports

Anthropic has upgraded Claude’s research mode, allowing it to run investigations for up to 45 minutes—triple the prior limit—before producing document-style reports. The feature now dissects complex queries into smaller components and scours “hundreds of internal and external sources,” with full citations embedded. Users can expect reports to surface nuanced details, though AI-generated content still requires sharp-eyed fact-checking; in testing, Claude’s historical report on video games was impressively thorough but included a confabulated quote.

Anthropic also rolled out its new “Integrations” feature, linking Claude with tools like Jira, Zapier, and PayPal via the Model Context Protocol. The update broadens Claude’s data access beyond web search and Google Workspace, enabling automations such as compiling HubSpot sales data or generating Jira tickets in bulk.

Both the upgraded research mode and Integrations are now available to all paying users, with Pro accounts expected soon.

Deepmind expert says trimming documents improves accuracy despite large context windows

DeepMind's Nikolay Savinov explains that despite the promise of million-token context windows, focusing on the most relevant content yields better results. In a recent interview, Savinov noted that when an AI model processes large amounts of data, it must divide its attention across all tokens, potentially diminishing focus on important details.

To optimize accuracy, Savinov suggests trimming documents down to only the necessary information. For example, removing irrelevant pages from a PDF before sending it to an AI model can lead to improved performance, even if the model is capable of processing the entire document. Read more.

• Gemini AI Outplays Pokémon, Opens Doors to Kids and Sparks Data Uproar

• Meta Launches Llama Prompt Ops to Optimize AI Prompts

• Freepik Debuts Open-Source Image Generator Built for Copyright Safety

• Nvidia’s Huang Warns Half of AI Researchers Are Chinese, Calls on U.S. to Reskill for 'Infinite Game'

• 1,000 AI-Enhanced Works Now Protected by US Copyright Law

• MIT engineers advance toward a fault-tolerant quantum computers

• Self-driving cars can tap into 'AI-powered social network' to talk to each other while on the road

• AI comes to Reddit's main search bar

• Transformer models show surprising parallels to human thinking, study finds

• New prompt method rewrites text in any style without changing its meaning

• Musk: Neuralink's Speech Tech Will Be Available to All After FDA Breakthrough Status

• Watch: Star Wars-styled Airbike take to skies, fly at 124 mph, turn sci-fi into reality

• OpenAI's ChatGPT just surpassed Elon Musk's X in terms of website visits in April

• A DOGE recruiter is staffing a project to deploy AI agents across the US government

• US researchers seek to legitimize AI mental health care

• Americans are among the least likely to review or edit AI-generated output

📄 PixelHacker: Image Inpainting with Structural and Semantic Consistency

📄 Improving Editability in Image Generation with Layer-wise Memory ​​

📄 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models

📄 KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution

📄 RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

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