Oracle Launches AI-Native Agent Application Development Platform, Supporting No-Code and Other Development Methods

In the wave of digital transformation, Oracle announced a major news on July 14th, launching "Oracle AI Agent Studio for Fusion Applications." This new platform will provide enterprise customers and partners with a brand-new AI-native development experience, enabling users to easily build and run "Fusion Agentic Applications" (agent-based applications).

The biggest highlight of this platform is its support for multiple development methods, including no-code, low-code, and professional coding, truly allowing developers at all levels to participate. Whether you are a beginner or an experienced programmer, you can find a suitable development method on this platform. In addition, Oracle has introduced AI Studio Skill, allowing developers to use a series of modern development tools such as Visual Studio Code, command-line tools, and Git.

Even more excitingly, this platform also supports integration with AI programming assistants such as OpenAI Codex and Claude Code. This means that when developers write code, they can use powerful AI tools for intelligent assistance, thereby improving development efficiency and code quality. The addition of AI programming assistants will certainly provide developers with more innovative possibilities, making the application development process more flexible and efficient.

From an enterprise perspective, Fusion Agentic Applications not only improve work efficiency but also help businesses quickly respond to market demands and achieve flexible business adjustments. For enterprises looking to stand out in a competitive market, this is undoubtedly an opportunity worth paying attention to.

In summary, this new platform from Oracle will bring new momentum to the digital transformation of enterprises, helping them build smart applications faster and drive innovation and development of their business.

Musk Manually Clears Grok Build User Data, Agentic Coding Trust Crisis Resolved

The AI coding tool Grok Build was exposed for uploading users' code repository data without authorization, causing strong concerns among developers. Musk responded by stating that all historical user data will be completely deleted. The incident originated from a security researcher's phishing test, during which a fake repository was monitored throughout to capture its misconduct.

PixVerse Completes $439 Million C-Round Expansion Financing, Valuation Surges to $2 Billion

Competition in the AI video generation sector is intensifying. Singapore-based startup PixVerse has completed a $439 million C-round expansion financing, with its valuation exceeding $2 billion, signaling strong growth confidence. The company was co-founded in 2023 by Wang Changhu, former head of computer vision at ByteDance, and Jaden Xie, following a typical technology-driven development path.

New Species of Mobile Phones Emerge: StepXun Announces Native Intelligent Agent System and the First Phone STEPX Neo

StepXun held the "StepXun Terminal Brand and Next Generation Intelligent Agent Strategy Launch Event" on the evening of July 13, announcing three innovative achievements: the native intelligent agent system Step AOS, the large model-native AI terminal brand STEPX, and the first phone STEPX Neo. The core is Step AOS, designed to restructure hardware scheduling and system capability allocation for intelligent agents, building a new generation of intelligent agent interaction.

SenseNova-Vision by SenseTime Open-Sources a Unified Vision Large Model, Achieving Outstanding Performance in Four Core Visual Tasks with a Single Model

SenseTime has released and open-sourced the "SenseNova-Vision" vision large model, whose core lies in natively integrating vision capabilities into a general foundation model, breaking the fragmented mode of packaging expert models such as detection and segmentation. This model achieves dominant performance across multiple evaluation tasks in four fields, marking a critical upgrade in visual tasks toward a unified native architecture.

OpenAI Criticizes AI Evaluation Benchmark: 731 Questions, Nearly a Third Have Flaws. 8-Month Passing Rate Rises from 23% to 80%, Now Ineffective

OpenAI publicly questioned the SWE-Bench Pro benchmark, pointing out that about 30% of its 731 test tasks have evaluation flaws. The benchmark, launched by Scale AI, is an industry authority for measuring large model programming capabilities. However, OpenAI warned that the passing rate of cutting-edge models has surged from 23.3% to 80.3% within 8 months, which is unusually fast, indicating doubts about the reliability of the evaluation.