Search AI Products and News

At a recent international conference, Anthropic CEO Dario Amodei made a striking prediction that AI will take over 90% of code writing within the next three to six months. Amodei suggested that if this trend continues, AI could almost entirely replace human programmers within 12 months. He noted that while programmers may still need to set specific parameters and goals for AI, this process too could potentially be automated by technology in the future.

Dario Amodei, CEO of Anthropic, stated at a U.S. Council on Foreign Relations forum that he believes AI will handle 90% of coding within the next 3-6 months. Amodei's prediction that AI could potentially write nearly all code within 12 months has garnered significant attention. The statement was made during a discussion with Mike Froman, President of the Council on Foreign Relations.

At the 2024 Hangzhou Cloud Habitat Conference, Alibaba Cloud announced the newly upgraded Tongyi Lingma. The upgraded Tongyi Lingma can now quickly complete multiple development tasks such as understanding requirements, breaking down tasks, writing code, fixing bugs, and testing with just a few sentences. Before the upgrade, Tongyi Lingma could only perform basic auxiliary programming tasks. This advancement greatly benefits developers, allowing them to develop an application from scratch in just a few minutes, with an increase in development efficiency by several dozen times! It is reported that since the launch of Tongyi Lingma, it has successfully been adopted by many well-known enterprises, including

Meta has released the open-source LLM Code Llama, built on Llama 2, claiming superior performance on coding tasks compared to other LLMs. Code Llama comes in three variants: a base model, a model specifically for Python, and a model for natural language instructions. Code Llama provides stable generation and supports multiple programming languages, suitable for tasks such as code completion, debugging, and real-time code assistance.

40% of data analytics leaders use generative AI in their work, with 31% using it to write code. The survey shows that enterprises using generative AI mainly apply it to content generation, analysis insights summarization, analysis insights generation, code development, and process documentation. Most enterprises express interest in AI, but only 13% have already implemented it and are optimizing AI models.