AI Weekly

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Category: News

  • Claude Opus4.5 Released, Competing with GPT - 5.1!

    Dear friends, there's big news in the AI community today! 🔥Claude Opus4.5 might be officially launched today!

    Previously, a new model entry with the code name "Claude Kayak" briefly appeared on the AI benchmark platform Epoch AI, marked with today's release date. Although it was quickly removed, it still attracted high attention from the global AI community. 🤩The industry generally believes that "Claude Kayak" is the flagship model Claude Opus4.5 that Anthropic is about to launch.

    As a super - strong version of the Claude4 series, Opus4.5 is expected to significantly improve in complex reasoning, multi - step agent tasks, and code - generation capabilities. It is hoped to break the 80% score in authoritative evaluations, directly competing with OpenAI GPT - 5.1 and Google Gemini3.0Pro. 👏

    Since the release of Opus4.1 in August this year, Anthropic has successively launched Sonnet4.5 and Haiku4.5. If Opus4.5 makes its debut as scheduled this time, the entire Claude4 series will be updated, and its position in the fields of multimodality and enterprise - level AI will be more solid. 👍

    Now, developers are not only looking forward to the new model bringing stronger agent - coordination capabilities and longer context - handling capabilities but also worried that the high computing power requirements will make it "in limited supply" like the Opus series. Let's all wait for the official news. If it's really released, this will definitely be a major event in the AI competition at the end of 2025!

    #ClaudeOpus4.5 #AI Release #GPT - 5.1 #GeminiPro #AI Competition

  • ✨Google makes a big move! The Antigravity AI IDE empowered by Gemini 3 is incredibly appealing!

    Dear friends, there's a big surprise in the AI development community! 🎉 Not only has Google released the new - generation flagship large - model Gemini3, but it has also launched a brand - new AI - native integrated development environment, Google Antigravity. This is truly set to "revolutionize" the development circle!

    This so - called "anti - gravity" agent - based development platform directly upgrades AI from an ordinary code assistant to an extremely powerful "active partner" 🤝. It perfectly addresses the pain points of competitors like Cursor and Claude, liberating developers from tedious low - level coding! Now, Antigravity has opened for public preview, supporting Windows, macOS, and Linux systems. What's more, it's completely free 🆓, and the quota for Gemini3Pro is quite generous. Who wouldn't love this!

    🌟 Its awesomeness doesn't stop there!

    • Autonomous and parallel developmentAutonomous and Parallel Development: The "agent - first" design concept is amazing! As long as developers provide high - level task descriptions, such as "Build a flight - query web app", the intelligent agents driven by Gemini3 will automatically formulate plans, list conditions, and give architectural suggestions. Multiple intelligent agents can run asynchronously in the background simultaneously, acting like a super - intelligent "task control center" to allocate resources. They can directly operate code editors, terminal command lines, and browsers to achieve autonomous development. It truly realizes "humans command, AI does the work", allowing us to focus more on creativity.
    • Verifiable code qualityThe trust issue of AI coding tools has always been a headache. However, Antigravity has solved it with its unique "Artifacts" mechanism! Every time an agent completes a step, it will generate a task list, an implementation plan, and also provide screenshots before and after bug fixing, functional demonstration videos, etc. All the outputs are clear at a glance, allowing us to verify whether the task has been completed with just one look. This is extremely user - friendly for enterprise - level development 👍.
    • Revolutionary collaborative feedbackRevolutionary Collaborative Feedback: Antigravity has taken the feedback experience to a new level! Developers can directly click, mark, and leave messages on the web screenshots generated by AI. They can also make precise comments on code diffs and browser operation screen recordings. Moreover, feedback doesn't affect the intelligent agent's process, and it supports collaborative commenting similar to Google Docs. "Human - machine collaboration" has become as smooth as modifying design drafts.

    Antigravity is not only deeply integrated with Gemini3Pro but also supports Claude Sonnet4.5 and OpenAI open - source models. Its future ecological compatibility is surely extremely strong! Now, it can be downloaded and experienced on the official website (antigravity.google). The quota refresh cycle is very user - friendly, and ordinary developers basically won't run out of it.

    The AI IDE has officially entered the era of "multi - agent, verifiable, visual feedback". Cursor, Claude Dev, Windsurf, etc. are probably under great pressure 😜. I sincerely suggest that all front - end, full - stack, and AI engineers give it a try as soon as possible. Maybe this will be the most worthy development tool to switch to in 2025!

    📱 Download address:https://antigravity.google/download

    Have any of you used it, dear friends? Come and share your feelings in the comment section below 👇

  • Google Gemini 3 is Coming: The New AI Monarch Ascends the Throne!

    Guys, there's been a huge stir in the AI community recently 😱! Google Gemini 3 made a splash late at night, proclaiming the crowning of a new king in the AI realm ✨.

    Previously, people were spoilt for choice among AI models, with the differences in advantages between various models being rather marginal. But as soon as Gemini 3 Pro arrived, its performance was simply outstanding 💯. In tests representing the "pinnacle" of human intelligence, it outscored GPT - 5.1 and Claude Sonnet 4.5 by a large margin. In mathematics, it shows absolute dominance. When combined with code execution in AIME 2025, its accuracy rate reaches 100%, and in MathArena Apex, it leaves other large - scale models far behind. Moreover, its "visual intelligence" is truly remarkable. Its understanding ability of screenshots is twice that of the current advanced level 👏.

    Google also launched a "mini - bombshell", Google Antigravity. It's an agent - first development platform where developers can collaborate with multiple intelligent agents, skyrocketing their work efficiency 🚀. Additionally, Gemini 3 Pro is trained using Google TPU, with comprehensive data coverage. It has been integrated into Google Search, enabling it to instantly generate interactive charts or simulation tools when searching for complex concepts.

    Online practical tests have also yielded good results, with its direct - generation ability proving to be quite powerful. Guys, the AI era is unstoppable. Let's start paying close attention right away 🤩!

  • Baidu's New AI Model ERNIE - 4.5 - VL is Amazing!

    Dear friends, there has been a major move in the AI field recently 🔥! Baidu has grandly released the new - generation multimodal AI model ERNIE - 4.5 - VL. In this era of rapid development of AI technology, it is really difficult to find an efficient and powerful AI model, which is the pain point of many developers and researchers 😭.

    However, this time Baidu's new model perfectly solves these problems 👏. It not only has powerful language - processing capabilities but also introduces the innovative function of "image thinking". With only 3B activation parameters, it has extremely high computational efficiency and flexibility, and can handle tasks quickly and efficiently. Moreover, this "image thinking" function is extremely powerful. It can perform operations such as image zooming and tool - calling for image search, greatly enriching the interactive experience between images and text.

    I think it will bring new possibilities to many fields such as intelligent search, online education, and e - commerce 💯. It's like equipping these fields with smart little wings, enabling them to fly higher and farther. Now this model is open - sourced, and developers and researchers can more conveniently explore the potential of multimodal AI. Dear friends, don't miss this great opportunity. Let's start researching together 👏!

    #Baidu AI Model #ERNIE - 4.5 - VL #Multimodal AI #Image Thinking #AI Technological Innovation

  • Google Gemini 3 Pro Preview: Superb with a Million-Level Window!

    Dear friends, there's been a major development in the AI world recently 🔥! The Gemini series of artificial intelligence models under Google has made significant progress, and the latest preview version "gemini - 3 - pro - preview - 11 - 2025" has appeared on the Vertex AI platform.

    Previously, many AI models struggled when dealing with long documents and complex tasks, which was really frustrating 😣. However, Gemini 3 Pro supports an extremely large context window of up to 1 million tokens, which is simply a savior 👍! It can handle 200,000 tokens at the standard level and directly extends to 1 million tokens at the advanced level. It has also been optimized in terms of input - output ratio and the proportion of image/video/audio processing.

    It is regarded as a major upgrade of Gemini 2.5, focusing on multimodal reasoning and agent - based intelligence. The training data covers up to August 2024 and encompasses a variety of input sources. Industry analysts say that it is of revolutionary significance in the field of enterprise - level applications, such as financial modeling and biotech simulation.

    According to reports from multiple tech media, Google may reveal more details in the middle to late November, and the full release may be postponed until December. Compared with its predecessors, it is expected to outperform GPT - 4o in benchmark tests and perform excellently in multimodal creative generation and code - writing tasks 👏.
    Although Google has not yet officially responded, Vertex AI is accelerating the iteration of the Gemini series. Let's all look forward to its official debut ✨!

  • ChatGPT's "New Rules" Are Here! Prohibition on Providing Medical, Legal and Financial Advice!

    Dear friends, OpenAI updated the usage policy of ChatGPT on October 29. This time, the model is clearly prohibited from providing professional medical, legal or financial advice!

    This is mainly done to avoid regulatory risks, reduce the hidden danger of misleading people, and redefine the application boundaries of AI in high-risk fields. ChatGPT can no longer do things like interpreting medical images, assisting in diagnosis, drafting or interpreting legal contracts, providing personalized investment strategies or tax planning. If users raise such demands, the system will uniformly reply to guide them to consult human experts. Moreover, this policy covers all ChatGPT models and API interfaces to ensure consistent implementation.

    Although professionals can still use it for general concept discussion or data organization, they cannot directly provide "fiduciary" advice to end users. This adjustment is driven by global regulation. The EU's Artificial Intelligence Act is about to take effect, which will conduct strict reviews on high-risk AI, and the US FDA requires clinical verification for diagnostic AI tools. By doing so, OpenAI can avoid being recognized as "software as a medical device" and also prevent potential lawsuits.

    Regarding this new rule, users' reactions are divided into two camps. Some individual users feel quite regretful because they have lost the "low-cost consultation" channel. After all, they had saved a lot of professional consultation fees by relying on AI before. However, most of the medical and legal circles support it. After all, the "pseudo-professional" output of AI is indeed likely to lead to misdiagnosis or disputes. Data shows that over 40% of ChatGPT queries are of the advice type, and medical and financial advice account for nearly 30%. This policy may lead to a short-term decline in traffic.

    It also has a significant impact on the industry. Google, Anthropic, etc. may also follow suit and impose restrictions. Vertical AI tools, such as certified legal/medical models, may become popular. Chinese companies like Baidu have already complied in advance. Under the situation of stricter domestic regulation, innovation has to be explored within the "sandbox" mechanism.

    OpenAI emphasizes that the goal is to "balance innovation and safety". This update continues the Model Spec framework, and it is said that there will be further iterations in February 2025. The transformation of AI from an "omnipotent assistant" to a "limited assistant" seems to have become an industry consensus. In the future, technological breakthroughs and ethical constraints will develop together. I wonder what new balance the GPT-5 era will bring?

    What do you think of this new rule of ChatGPT? Come and share your thoughts in the comment section!

    Topic tags and keywords: #OpenAI #ChatGPT #UsagePolicyUpdate #MedicalAdvice #LegalAdvice #FinancialAdvice #AISupervision #IndustryImpact

  • Google Gemini is about to make a big splash! The Nano Banana2 image generation technology is coming with an upgrade.

    Dear friends, there's extremely important news! Google is busy preparing to release the AI image generation model Nano Banana2, with the internal code name "GEMPIX2". Judging from the new announcements on the official Gemini website, it may meet us in the next few weeks!


    The Nano Banana series is the ace of Google's DeepMind team. Since the first generation was launched on August 26, 2025, it has been extremely popular. It topped the LMArena image editing leaderboard during the early preview. Its "multi-round dialogue" interaction and character retention functions are excellent. It can easily blend photos, change backgrounds, and generate artistically styled images. In just a few weeks, it has attracted 10 million new users to join the Gemini ecosystem, with more than 200 million image editing operations!


    Judging from the preview cards and technical indicators on the Gemini UI interface, the exposure of Nano Banana2 this time indicates that it will continue to focus on creativity, optimize the visual generation speed and artistic style diversity for professional creators and developers, and may also be deeply integrated with the Gemini3.0 series to enhance the multimodal processing ability, such as the generation of customized visual styles for video overviews.


    Although Google has not announced the specific details yet, it feels like the release is just around the corner. Maybe it will appear together with the updates of products such as NotebookLM and Google Photos. The first-generation model has made the monthly active users of Gemini exceed 650 million. With the arrival of Nano Banana2 this time, it is expected to further narrow the gap with its competitors and inject new vitality into the creative industry. Moreover, Google emphasizes that all generated images will be marked with watermarks to ensure compliance.


    What are your expectations for Nano Banana2? Come and chat in the comment section!

    #GoogleGemini #NanoBanana2 #ImageGenerationTechnology #AIInnovation #GenerativeAI

  • Still struggling to make PPTs? Google Gemini can generate PPTs with one click to the rescue!

    Guys, the era of tedious PPT making may really be coming to an end! Google has introduced a super useful new function for the AI assistant Gemini. In Geminis interactive workspace Canvas, you can automatically generate super professional PPTs just by entering a one-sentence prompt. It can be used by both individual users and Google Workspace accounts!

    This function is super intelligent, "fast" and "accurate". If there is no specific material, for example, if you enter "Create a presentation on climate change", it can automatically organize the content framework, match the theme style and insert relevant pictures. If there are existing materials, just upload Word documents, PDF reports or Excel spreadsheets, and it can extract key information and transform it into clear and logical slide content.

    Moreover, the generated PPTs are not static finished products. They can be directly exported to Google Slides. On this basis, you can freely adjust the layout, add or delete content, and collaborate in real time with team members. Its a proper efficient workflow of "AI drafting + manual optimization".

    This is an important iteration of Google since the launch of the Canvas workspace in March this year. From initially supporting collaborative editing of text and code to now expanding to multimodal content generation, Gemini is striding forward towards a deep productivity tool!

    Have any of you guys used this function? Come and share your experiences in the comment section!

    #GoogleGemini #PPTGeneration #CanvasWorkspace #OfficeSkills #AIAssistedOffice

  • Amazing! ByteDance has created Sa2VA by integrating LLaVA and SAM - 2, and a new favorite in multimodality is born.

    Dear folks, ByteDance has once again made a remarkable move in the AI realm! Collaborating with research teams from multiple universities, it has integrated the advanced vision - language model LLaVA and the segmentation model SAM - 2, unveiling an amazing new model, Sa2VA! 🎉

    LLaVA is an open - source vision - language model that excels in macroscopic video narration and content comprehension, yet it struggles a bit with detailed instructions. SAM - 2, on the contrary, is an outstanding image segmentation expert capable of identifying and segmenting objects within images, but it lacks language - understanding capabilities. To leverage their respective strengths, Sa2VA effectively combines these two models through a simple and efficient "code - word" system. 🧐

    The architecture of Sa2VA resembles a dual - core processor. One core is tasked with language understanding and dialogue, while the other is responsible for video segmentation and tracking. When a user enters an instruction, Sa2VA generates a specific instruction token and passes it to SAM - 2 for concrete segmentation operations. In this manner, the two modules function in their areas of expertise and can also engage in effective feedback - based learning, constantly enhancing the overall performance. 😎

    The research team has also designed a multi - task joint training curriculum for Sa2VA to boost its capabilities in image and video understanding. In numerous public tests, Sa2VA has demonstrated excellent performance, particularly shining in the video referential - expression segmentation task. It can accurately segment in complex real - world scenarios and can even track target objects in real - time within videos, boasting extremely strong dynamic - processing capabilities. 👏

    Moreover, ByteDance has made various versions of Sa2VA and its training tools publicly available, encouraging developers to conduct research and applications. This provides abundant resources for researchers and developers in the AI field, propelling the development of multimodal AI technology.

    Here are the project addresses:

    https://lxtgh.github.io/project/sa2va/

    https://github.com/bytedance/Sa2VA

    Dear friends, are you looking forward to Sa2VA? Come and share your thoughts in the comment section! 🧐

    #ByteDance #Sa2VA #Multimodal Intelligent Segmentation #LLaVA #SAM-2 #AI Model #Open-source

  • Amazing! Google's New Framework Helps AI Agent Learn from Mistakes, Will a Super Intelligent Agent Be Born? ✨

    Guys, Google has made a big splash in the AI field again! Recently, it proposed the revolutionary framework "Reasoning Memory" (learnable reasoning memory), aiming to enable AI Agents to achieve true "self - evolution", which is simply stunning 👏.

    First, let's talk about the pain points of current AI agents. Currently, AI Agents based on large language models perform well in reasoning and task execution, but they generally lack a sustainable learning mechanism. AIbase analysis shows that existing intelligent agents do not "grow" after completing tasks. Each execution is like starting anew, which brings a bunch of problems. For example, they make repeated mistakes, can't accumulate abstract experience, waste historical data, and have limited decision - making optimization. Even if a memory module is added, most of them are just simple information caches, lacking the ability to generalize, abstract, and reuse experience. It's very difficult to form "learnable reasoning memory", and thus they can't truly improve themselves 😔.

    Next, look at Google's new framework. The Reasoning Memory framework is a memory system specifically designed for AI agents, which can accumulate, generalize, and reuse reasoning experiences. Its core is to enable agents to extract abstract knowledge from their own interactions, mistakes, and successes to form "reasoning memories". Specifically:

    • Experience Accumulation: Agents no longer discard task history, but systematically record the reasoning process and results.
    • Generalization and Abstraction: Use algorithms to turn specific experiences into general rules, not just simple episodic storage.
    • Reuse and Optimization: Call on these memories in future tasks, adjust decisions according to past experiences, and reduce repeated mistakes.

    This mechanism allows AI agents to "learn from mistakes" like humans and achieve closed - loop self - evolution. Experiments show that agents equipped with this framework have a significantly improved performance in complex tasks. This is a huge leap from static execution to dynamic growth 😎.

    Finally, let's talk about the potential impact. AIbase believes that this research can reshape the AI application ecosystem. In fields such as automated customer service, medical diagnosis, and game AI, Agents can continuously optimize their own strategies and reduce human intervention. In the long run, it fills the "evolution gap" of LLM agents and lays the foundation for building more reliable autonomous systems. However, there are also challenges. For example, the memory generalization ability and computational cost still need to be further verified. But anyway, Google's move has strengthened its leading position in the forefront of AI, which is worthy of attention from the industry 🤩.

    Guys, what do you think of Google's new framework? Come and chat in the comments section 🧐.

    Paper address: https://arxiv.org/pdf/2509.25140https://arxiv.org/pdf/2509.25140

    Hashtags and keywords

    #Google #AI Agent #Self - evolution #Reasoning Memory #AI Framework #AI Application Ecosystem