Google DeepMind explores formation of parallel AI economy
Interesting concept of AI economy is presented in new Google DeepMind research. Link in description. Scientists analyzed rapidly forming reality. In which AI agents transform into independent economic players, capable of trading, negotiating and creating value without direct human participation. And if this process remains without proper control, autonomous systems may form their own parallel economy, closely connected to human one. Which carries both enormous opportunities and serious risks.
Therefore researchers propose innovative concept of “sandbox.” Controlled economic space where AI agents can interact without creating threat to human markets. In this model, agents can switch between different industries, form temporary strategic alliances and coordinate resources in real time.
Technical foundation for such ecosystem is already being laid through standards like Agent2Agent and Model Context Protocol. Which enable communication between different AI systems. In near future, personal AI assistants will be able to compete and collaborate in these virtual markets. Negotiate about computational resources, data access or service booking. And all in interests of their users. Of course.
Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.
Latest News
UBTech will send Walker S2 robots to serve on China's border for $37 millionChinese company UBTech won a contract for $37 million. And will send humanoid robots Walker S2 to serve on China's border with Vietnam. South China Morning Post reports that the robots will interact with tourists and staff, perform logistics operations, inspect cargo and patrol the area. And characteristically — they can independently change their battery.
AI chatbots generate content that exacerbates eating disordersA joint study by Stanford University and the Center for Democracy and Technology showed a disturbing picture. Chatbots with artificial intelligence pose a serious risk to people with eating disorders. Scientists warn that neural networks hand out harmful advice about diets. They suggest ways to hide the disorder and generate "inspiring weight loss content" that worsens the problem.
OpenAGI released the Lux model that overtakes Google and OpenAIStartup OpenAGI released the Lux model for computer control and claims this is a breakthrough. According to benchmarks, the model overtakes analogues from Google, OpenAI and Anthropic by a whole generation. Moreover, it works faster. About 1 second per step instead of 3 seconds for competitors. And 10 times cheaper in cost per processing 1 token.
