Google's AI powerhouse, DeepMind, is playing a strategic game. It's holding back some of its groundbreaking AI research. Why? To keep competitors in the dark and maintain its lead in the AI race. This shift is notable because DeepMind was once known for openly sharing its innovative work. Now, it's all about keeping an edge.

The change in policy is clear. DeepMind has toughened up its vetting process for publishing research. More bureaucracy means fewer papers see the light of day. This is especially true for studies that could give rivals an advantage or make Google's own AI models look less impressive. It's a strategic move, but it raises questions about the future of open AI research.

DeepMind's past has been marked by significant breakthroughs. Take the 2017 "transformers" paper, for instance. It laid the foundation for today's generative AI boom. But times have changed. DeepMind is now a key player in Google's push to capitalize on advanced AI technology. Investors are watching closely, concerned that Google might be falling behind competitors like OpenAI.

The new rules are strict. There's a six-month wait before "strategic" papers on generative AI can be released. Researchers have to convince multiple staff members that their work is worth publishing. It's a far cry from the open-sharing culture of the past.

This shift in DeepMind's approach highlights a broader trend in the AI industry. Companies are becoming more cautious about sharing their innovations. It's a balancing act between maintaining a competitive edge and contributing to the collective advancement of AI. The future of AI research hangs in the balance. Will openness and collaboration win out, or will secrecy and competition reign supreme? Only time will tell.

DeepMind's Secret: Keeping AI Advances Under Wraps

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