Google's big model iterates slowly due to factors such as limited computing power and internal differences. Google co-founder Sergei Brin urged core AI employees to fully invest in the development of the Gemini Big Model. Brin continues to emphasize to AI core employees that it is necessary to keep up with the cutting edge of the industry. People familiar with the matter said that Bollin is pushing resources in the direction of recursive self-improvement. The goal of this technology is to enable AI to iterate and upgrade itself without human intervention. Internal tests showed that the new version of Gemini continues to outperform in areas such as code writing, and that Google has delayed the launch of the new version of this flagship model by two months to August.

Google's big model iterates slowly due to factors such as limited computing power and internal differences. Google co-founder Sergei Brin urged core AI employees to fully invest in the development of the Gemini Big Model. Brin continues to emphasize to AI core employees that it is necessary to keep up with the cutting edge of the industry. People familiar with the matter said that Bollin is pushing resources in the direction of recursive self-improvement. The goal of this technology is to enable AI to iterate and upgrade itself without human intervention. Internal tests showed that the new version of Gemini continues to outperform in areas such as code writing, and that Google has delayed the launch of the new version of this flagship model by two months to August.