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OpenAI has announced the launch of its 'OpenAI Pioneers Program', aimed at improving the current scoring system for AI models to create evaluation standards more aligned with real-world applications. With the rapid advancement of AI across various industries, understanding and enhancing AI's performance in real-world scenarios is crucial. OpenAI states that focusing on domain-specific evaluation metrics will more effectively reflect real-world performance and help teams assess model performance in high-stakes environments.

OpenAI, a leading artificial intelligence company, recently announced the launch of its Evals API. This new tool has generated significant excitement among developers and the tech community. The Evals API allows users to programmatically define tests, automate evaluation workflows, and rapidly iterate on prompts. This launch marks a shift from manual to highly automated model evaluation, providing developers with more flexible and efficient tools to accelerate AI application development.

In the rapidly evolving landscape of technology, Artificial Intelligence (AI) continues to advance at an unprecedented pace. Recently, the newly open-sourced DeepCoder-14B-Preview model, a collaboration between renowned large model training platform Together AI and agent platform Agentica, has garnered significant attention. With only 14 billion parameters, this model achieved a score of 60.6% on the LiveCodeBench code testing platform, surpassing OpenAI's o1 model (59.5%) by a small margin.

Recently, an AI coding tool called Trickle has generated significant buzz on social media, garnering attention for its ease of use and powerful features. Designed for non-developers, this tool empowers ordinary users—especially product managers and creative professionals—to quickly transform their ideas into functional prototypes, even deploying them directly. Trickle not only lowers the technical barrier to entry but also significantly accelerates the cycle from ideation to product validation. Trickle's core strength lies in its built-in database.

Ideogram has officially announced its latest image generation model—Ideogram 3.0. This version represents a significant breakthrough in realism, creative expression, and style consistency, and is considered a major milestone in the image generation field. The new model not only rivals top AI systems like GPT-4o but also attracts widespread attention due to its efficient performance and innovative features. Ideogram 3.0 has achieved a qualitative leap in text rendering capabilities. Compared to most image generation models on the market, this version can...

On March 25th, Zuoyebang Programming announced a comprehensive upgrade to its curriculum system, launching a new "AI+" curriculum designed to help young people better embrace the AI era. This upgrade focuses on cultivating the technological innovation potential of young people. By deeply integrating AI knowledge and application scenarios, it helps students transition from knowledge-based thinking to creative thinking.

Meta is testing a new feature that allows users to generate comment suggestions on Instagram using artificial intelligence. X user Jonah Manzano discovered and shared this test feature, showing users can tap a pencil icon below a post to access Meta AI, which analyzes the photo and provides three possible comments. Users can refresh for more suggestions if unsatisfied. A Meta spokesperson confirmed the company is testing Meta AI in multiple areas.

theseriousadult, the key developer behind Midjourney's V2 through V7 models, announced their departure from the company on X. Over three years at Midjourney, this developer spearheaded multiple model iterations, renowned for their focus on aesthetics and creativity, and their work has received widespread industry acclaim. Following their departure, theseriousadult announced joining Cursor to develop AI programming agents. This new role...

This upgrade includes three major features: HTML preview, Python execution, and full project generation. First, Doubao now supports real-time preview and interaction with HTML code, allowing users to more intuitively create various mini-games and web pages on the platform, significantly improving development efficiency and user experience.

According to the latest US Bureau of Labor Statistics population survey data, the number of computer programming jobs in the US has fallen to its lowest level since 1980 due to the rapid development of artificial intelligence technology. At that time, the internet was not yet widespread, yet today, job opportunities in this field have significantly decreased. Image Note: Image generated by AI, image licensing provider Midjourney. Looking back at history, in 1980, the US had over 300,000 computer programming positions. This number reached over 700,000 during the internet boom of the early 2000s. However...

In a recent podcast, OpenAI's Chief Product Officer, Kevin Weil, stated that artificial intelligence is poised to surpass human programmers in coding benchmark tests by the end of this year. This statement was made during a conversation with Avalon CEO Varun Mayya and YouTuber Tanmay Bhat. Kevin reflected on the rapid advancements in AI in recent years, highlighting the remarkable progress of AI coding models.

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.

Baidu's Wenxin Quick Code has announced the release of the Comate Zulu version and officially opened its public beta. This upgrade represents a significant breakthrough in intelligent programming, aiming to provide developers with a more efficient and intelligent programming experience by leveraging the powerful capabilities of the Wenxin large model, combined with Baidu's years of accumulated programming big data and excellent external open-source data.

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.

Today, Chinese AI company DeepSeek officially refuted rumors that its next-generation AI model, DeepSeek R2, will be released on March 17th. Previous rumors circulating on X claimed DeepSeek R2 would launch in mid-March, potentially offering breakthroughs in programming capabilities, multilingual reasoning, and cost-effectiveness. However, DeepSeek's official corporate account clarified in user groups: "Rumor debunked: The R2 release is false." This definitively puts an end to the speculation.