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At the recent Zhipu Open Platform Industrial Ecosystem Conference held in Shanghai, a major development emerged in the field of artificial intelligence: Pudong Venture Capital Group and Zhangjiang Group jointly announced a strategic investment of up to 1 billion yuan in Zhipu, with the first installment already completed. This significant investment will provide strong support for Zhipu in building a trusted artificial intelligence infrastructure and accelerate its layout in the field of General Artificial Intelligence (AGI). In his keynote speech at the conference, Zhipu CEO Zhang Peng elaborated on two latest achievements in the company's efforts to move toward AGI in collaboration with ecosystem partners.

Google's latest sustainability report reveals a startling fact: within just four years, the company's data center power consumption more than doubled, rising from 14.4 million megawatt-hours in 2020 to 30.8 million megawatt-hours in 2024. If the timeline is extended to ten years, compared to an estimated 4 million megawatt-hours in 2014, Google's data center power consumption has increased sevenfold. Growing electricity demand: data centers are major energy consumers, efficiency improvements face bottlenecks. Data shows that Google's power issues are almost entirely concentrated in data centers.

Artificial intelligence once again stirs up the field of drug development! Chai Discovery recently launched a new AI model called Chai-2, which has drawn widespread attention with its breakthrough technology in molecular design. Chai-2 achieves zero-shot antibody design with a success rate of 16%-20%, hundreds of times higher than traditional methods, shortening the drug development cycle from months or even years to just two weeks. Zero-shot antibody design breaks through traditional bottlenecks. Chai-2 is a multi-modal generative AI model developed by Chai Discovery, specifically designed for...

Recently, it was reported that Apple is in talks with OpenAI and Anthropic, planning to adopt their artificial intelligence technology in the upcoming new version of Siri. This shift indicates that Apple may seek external help in the AI field, significantly altering its long-standing strategy of relying on in-house development. Currently, Apple's AI features are mainly based on its self-developed "Apple Foundation Model," which is expected to launch a new voice assistant in 2026. However, if Apple adopts third-party technology...

Anthropic, an American startup focused on generative artificial intelligence, recently announced the launch of a new feature called "Artifacts," which allows users to create personalized applications. Users can create by means of simple conversations without any programming knowledge. This feature's release marks an important step for Anthropic in the field of artificial intelligence application development. The Artifacts feature was initially launched last June and became available to all users in August. Users can access it next to the conversation window.

Recently, Tencent Cloud officially launched the first full-chain AI-powered application development platform in China – AI Builder. This platform significantly reduces the threshold for application development through natural language processing technology, allowing ordinary users without technical backgrounds to independently create mini-programs or web applications, providing strong support for the realization of creativity. In traditional application development processes, users often need to master programming languages, understand database design, configure servers, and other complex skills, which is undoubtedly an insurmountable obstacle for non-professional developers.

Recently, Midjourney announced that they are developing a video upscaler as well as a Niji video model specifically designed for anime-style videos, sparking heated discussions among global creators and AI technology enthusiasts. The AIbase editorial team has compiled the latest developments and provides an in-depth analysis of the potential and future impact of these two cutting-edge technologies. Midjourney Video Upscaler: Enhancing Quality, Amplifying Creativity Midjourney's video upscaler aims to use advanced AI algorithms to提升 low-resolution videos to higher clarity.

On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

In-depth analysis of this revolutionary AI hardware design tool, Enzzo PM, unveiling how its two core modules, TORQUE and AMPLIFY, shorten tasks like generating product requirement documents and competitor analysis from weeks to mere hours. The article also features practical test cases and business value assessments. It is especially suitable for hardware development teams, start-ups, and manufacturers.

This comprehensive review of the Solar AI development tool examines how it generates complete applications via natural language input, reducing 83% of development time. Explore Solar's core features, use cases, and comparisons with mainstream tools to determine if it can truly deliver on its 'light-speed development' promise.

According to the latest prediction from Gartner, by 2028, 80% of generative AI business applications will be developed on existing data management platforms. This shift is expected to reduce development complexity and cut delivery time in half. Currently, the development of generative AI business applications mainly relies on combining large language models (LLMs) with corporate internal data, as well as evolving technologies such as vector search, metadata management, prompt design, and embedding techniques. However, without a unified management approach, companies may...

Under ByteDance's Volcano Engine, its AI IDE product TRAE has undergone significant upgrades. The upgraded TRAE provides developers with more practical features, including code completion, local code generation, as well as support for complex tasks such as code refactoring, bulk modifications, and knowledge questioning. ByteDance stated that the next version of TRAE will integrate different Agents and tools to coordinate task flows, realizing automatic chain operations, which marks its gradual shift from AI-assisted coding to supporting the entire AI development process.

Figma officially announced the launch of the Beta version of its Dev Mode MCP (Model Context Protocol) server, marking further integration between design and development workflows. This service standardizes the protocol for directly transmitting Figma design data to AI coding tools, significantly improving the efficiency and accuracy of converting design into code. The Dev Mode MCP service is now officially available, with the Figma Dev Mode MCP server already in Beta.