Jonas Adler and Alexander Pritzel are leaving Google for Anthropic after key roles on the Gemini model. They follow Noam Shazeer’s move to OpenAI and John Jumper’s departure to Anthropic, and with both firms eyeing IPOs, rivals are using equity incentives to recruit top AI talent.

• Jonas Adler and Alexander Pritzel, key architects of Gemini, left Google for Anthropic.
• Noam Shazeer went to OpenAI despite Google paying $2.7 billion to acqui-hire Character.AI partly to keep him.
• John Jumper, Nobel laureate and AlphaFold lead, is also departing Google DeepMind for Anthropic.
• As OpenAI and Anthropic prepare for IPOs, their equity offers are outcompeting Google's ability to retain top AI researchers.

The author details how they harvested thousands of Google API keys from APKs, web traffic, and discovery documents—filtering for Google-owned projects—to map out live and hidden API endpoints. They then leverage AI to auto-generate and run fuzz tests at scale, tackling first-party authentication and visibility labels to uncover undocumented functionality.

• Scraped 61,200 APKs plus web/iOS traffic to harvest Google API keys, then cross-checked each against the Cloud Marketplace API to confirm it belonged to a google.com-owned project, filtering out third-party noise.
• Bypassed Google's mid-2025 removal of the standard discovery doc path by brute-forcing visibility labels like "?labels=GOOGLE_INTERNAL," exposing over 1,500 hidden/internal API discovery documents.
• Cracked first-party authentication (session cookies + "Authorization: SAPISIDHASH" header to clients6.google.com) as the key workaround for fuzzing endpoints that require both an API key and a real user session.

Apple celebrated its 50th anniversary while facing significant challenges in the AI space. The company is shifting its strategy by partnering with Google for AI enhancements to Siri, amid concerns about user data and competition from rivals. Industry analysts suggest Apple must adapt quickly to maintain its relevance in a rapidly evolving technological landscape.

• Apple is licensing Google's Gemini AI to power upgraded Siri features, a reversal of its privacy-first stance that risks feeding user data into Google's ad business
• Siri has stagnated since its 2011 launch, with insiders like co-founder Dag Kittlaus arguing it never reached its potential without Steve Jobs' vision
• Apple is betting on on-device AI chips to process queries locally rather than in the cloud, aiming to preserve privacy while catching up on AI capability
• New AI features are slated by year-end, but early consumer reaction has been mixed, reflecting doubts about Apple's overall AI strategy

Apple is partnering with Google temporarily to address immediate AI needs while preparing to produce its own AI-focused server chips by late 2026. Analyst Ming-Chi Kuo highlights that this collaboration is aimed at managing expectations and enhancing Apple's AI capabilities amid growing competition in the field.

• Apple's Google AI partnership is a stopgap, not a long-term strategy—Kuo frames it as buying time while Apple builds its own AI infrastructure
• Apple plans mass production of in-house AI server chips by H2 2026, with new data centers coming online in 2027
• Google's Gemini will power a more personalized Siri launching later this year, confirming the partnership's immediate practical impact
• Even a fully delivered version of Apple's original AI plans may already lag behind competitors due to how fast cloud-based AI has advanced