Anahtar Kelimeler：OpenAI DevDay 2025, ChatGPT Uygulama Platformu, AgentKit, AI Akıllı Ajan Geliştirme, GPT-5 Pro, Sora 2, CodeMender, Sürekli Düşünce Makinesi, ChatGPT Apps SDK, Agent Builder Görsel Oluşturucu, GPT-Realtime-Mini Ses Modeli, Gemini Derin Düşünce Teknolojisi, CTM Nörodinamik
🔥 Spotlight
OpenAI DevDay 2025 Major Announcements: ChatGPT Becomes an Application Platform, AgentKit Empowers Agent Development : OpenAI unveiled several significant advancements at its 2025 annual developer conference, announcing that ChatGPT now boasts 800 million weekly active users, and its API processes over 6 billion Tokens per minute. Key announcements include the Apps SDK, enabling developers to build and run full-featured applications within ChatGPT, transforming ChatGPT into a new operating system. Concurrently, AgentKit was launched, comprising Agent Builder (a visual builder), ChatKit (customizable chat UI), Guardrails (a safety module), and Evals (evaluation tools), significantly simplifying AI agent development. Additionally, GPT-5 Pro, Sora 2/2 Pro video generation API, and GPT-Realtime-Mini voice model were simultaneously released. The Codex programming tool is now generally available, with new SDKs and enterprise features. These updates herald a deep integration and rapid expansion of the AI application ecosystem, profoundly impacting the developer ecosystem and user experience.
(来源: dotey, jerryjliu0, gdb, Yuchenj_UW, swyx, kevinweil, scaling01, scaling01, gdb, scaling01, scaling01, swyx, scaling01, gdb, gdb, op7418, TheRundownAI, OpenAIDevs, nickaturley, reach_vb, snsf, dotey, edwin)
Google DeepMind Launches CodeMender, AI Automatically Fixes Software Vulnerabilities : Google DeepMind has released CodeMender, an AI agent that leverages Gemini Deep Think technology to automatically patch critical software vulnerabilities. The agent has successfully submitted 72 high-quality fixes to popular codebases, which have been accepted and adopted by maintainers. The launch of CodeMender marks a significant breakthrough for AI in software security, expected to substantially reduce the time developers spend finding and fixing vulnerabilities, thereby enhancing software supply chain security.
(来源: Google, GoogleDeepMind)
Sakana AI’s ‘Continuous Thought Machines’ Accepted as a Spotlight Paper at NeurIPS 2025 : Sakana AI announced that its “Continuous Thought Machines” (CTM) have been accepted as a spotlight paper at NeurIPS 2025. CTM is an AI that mimics the biological brain, using neurodynamics and synchronization mechanisms to ‘think’ over time. It can solve complex mazes by building internal maps, classify images by ‘gazing,’ and learn algorithms. This groundbreaking design demonstrates AI’s potential in mimicking biological intelligence and solving complex problems, foreshadowing future AI systems with stronger emergent capabilities.
(来源: hardmaru, hardmaru)
ARCS V3 Achieves Abstract Reasoning Breakthrough with Minimal Parameters : ARCS V3 achieved 90-98% accuracy on the ARC-AGI-2 benchmark with only 19.9M parameters, 88,442 times smaller than GPT-4, and without using a Transformer architecture. This achievement challenges the industry’s reliance on large-scale models, demonstrating that exceptional performance in abstract reasoning tasks can be achieved with extremely low parameter counts through innovative architectural design and methods. The research team emphasizes that this breakthrough represents true reasoning ability, not mere memorization, and has provided comprehensive validation logs and demo videos.
(来源: weights_biases)
Equilibrium Matching (EqM) Simplifies and Surpasses Flow Matching, Enhancing Generative Performance : Yilun Du et al. shared research on Equilibrium Matching (EqM), a method that simplifies and surpasses flow matching, achieving an FID score of 1.96 on ImageNet 256×256, demonstrating powerful generative performance. EqM achieves a simple gradient-based generation process by learning a single static EBM (Energy-Based Model) landscape for generation. This advancement offers a more efficient and higher-performing alternative for generative models.
(来源: VictorKaiWang1)
🎯 Trends
OpenAI Partners with AMD to Deploy MI450 GPUs, Accelerating AI Infrastructure Development : OpenAI announced a multi-billion dollar partnership with AMD to deploy 6 gigawatts of AMD Instinct MI450 GPUs starting next year, addressing the growing demand for AI computing. This collaboration will significantly accelerate the development of global AI infrastructure, providing more computing resources for OpenAI users while also bringing substantial revenue to AMD, creating a win-win for both parties.
(来源: dejavucoder, jachiam0)
Google AI Pro Plan Offers Free Upgrade to University Students : Google announced that university students can get a free one-year upgrade to the Google AI Pro plan. The plan includes Gemini, NotebookLM, and 2TB of storage, designed to help students complete assignments, understand complex concepts, create study guides, and improve writing. This initiative is expected to promote the widespread adoption of AI tools in education, empowering students in their learning and research.
(来源: Google)
Microsoft Copilot Updates Memory Features, Supports ‘Forget’ and ‘Remember’ Commands : Microsoft Copilot has updated its memory features, now capable of ‘remembering’ or ‘forgetting’ specific information based on user commands. Users can manage Copilot’s memory in the settings, ensuring the AI responds more precisely to personalized needs while avoiding unnecessary information retention. This update enhances the AI assistant’s flexibility in terms of privacy protection and user experience.
(来源: mustafasuleyman)
LlamaParse Now Supports Anthropic Claude Sonnet 4.5, Enhancing Document Processing Capabilities : LlamaParse announced its integration with Anthropic’s Claude Sonnet 4.5 model, providing users with more powerful document understanding and parsing capabilities. This update will enhance LlamaParse’s accuracy and efficiency in handling complex documents, and it foreshadows the release of detailed benchmark results comparing Sonnet 4.5 with existing parsing options to demonstrate its performance advantages.
(来源: jerryjliu0)
HuggingFace Inference Endpoints Now Support Nvidia B200 GPUs : HuggingFace announced that its Inference Endpoints now support Nvidia B200 GPUs. This upgrade provides developers with more powerful computing capabilities to run and deploy large AI models, meeting the growing demand for computation. This move will further drive the application and innovation of AI models, making high-performance AI more accessible.
(来源: jerryjliu0)