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Google Loses More AI Talent As Anthropic Expands Research Team

by THEFUTURE.TEAM

June 25, 2026

Google’s efforts to strengthen its position in artificial intelligence are facing another talent challenge, with Bloomberg reporting that researchers Jonas Adler and Alexander Pritzel are preparing to leave the company for Anthropic.

Key Contributors To Gemini Move On

Both researchers reportedly played important roles in the development of Gemini, Google’s flagship AI model. Their departures come as the company continues to invest heavily in advancing its AI capabilities and competing with other leading developers in the sector.

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A Broader Pattern Of Departures

The reported moves follow a series of high-profile departures from Google’s AI teams in recent weeks.

Last week, researcher Noam Shazeer announced that he was leaving Google for OpenAI. Shazeer spent most of his career at Google after joining the company in 2000, apart from three years at Character.AI, the startup Google effectively acquired through a $2.7 billion deal that brought him back to work on Gemini.

Shortly afterwards, Google DeepMind director John Jumper also announced his departure for Anthropic. Jumper shared the 2024 Nobel Prize in Chemistry with DeepMind chief executive Demis Hassabis for their work on AlphaFold, the AI system designed to predict three-dimensional protein structures.

Why Anthropic And OpenAI Are Attracting Talent

The departures highlight the increasingly competitive market for top AI researchers as leading companies continue to expand their capabilities and recruit aggressively.

With both OpenAI and Anthropic frequently viewed as central players in the next phase of AI development, opportunities to work on frontier models and participate in fast-growing organisations have become an important draw for senior researchers.

The Challenge For Google

For Google, the issue extends beyond replacing individual researchers. Maintaining continuity across teams, preserving institutional knowledge and sustaining momentum in key AI projects are becoming increasingly important as competition for talent intensifies.

As the race to develop advanced AI systems accelerates, retaining experienced researchers is likely to remain a key focus for all major players in the sector.

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A New Twitter-Inspired Social Network Is Taking Shape

by News Editor

August 27, 2026

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

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Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.