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In the field of artificial intelligence, Meta recently introduced the WebSSL family of models. These models, ranging in size from 300 million to 7 billion parameters, are trained on purely image data and aim to explore the vast potential of language-free visual self-supervised learning (SSL). This new research opens up new possibilities for future multimodal tasks and offers a fresh perspective on understanding how visual representations are learned. Previously, OpenAI's CLIP model was known for its performance in multimodal tasks such as visual question answering (VQA) and document understanding.

Kimi Smart Assistant, a subsidiary of Moon's Dark Side, announces the evolution of the Kimi Exploration Version, introducing three major inference abilities: Enhanced Search Intent, Source Analysis, and Chain Thinking. The Enhanced Search Intent capability allows Kimi Exploration Version to convert abstract and ambiguous questions into specific queries, expanding users' true search intentions. The Source Analysis capability enables Kimi Exploration Version to filter through a vast number of search results to select sources that are more authoritative and reliable, providing traceable links down to the paragraph level. The Chain Thinking capability allows Kimi Exploration Version to handle reasoning based on a chain of thought.

Recently, many users reported that Kimi has begun internal testing of the "Exploration Version". Users who have obtained testing privileges can enter " / " in the input box to see the new feature options. From the screenshots of the Kimi Exploration Version interface, the page prompts: Enter " / " to use Kimi Exploration Version to solve complex search problems. It is worth mentioning that since it is in functional testing, each account with testing privileges can only use it 5 times a day. It is understood that Kimi Exploration Version has significantly improved its intelligence and reasoning capabilities.

Recently, foreign media reported that ByteDance is accelerating its efforts to self-develop and manufacture AI chips to reduce dependence on expensive chips from NVIDIA. The report claims that ByteDance plans to collaborate with TSMC and expects to mass-produce two self-developed AI chips by 2026, having already reserved the production of hundreds of thousands of chips. More notably, the report pointed out that ByteDance aims for its self-developed chip clusters to achieve four times the computing performance of a single H100 chip at a similar cost. In response, ByteDance quickly addressed this report.

The Pentagon AI Task Force is set to launch a digital sandbox to help the defense community experiment with various AI tools. Task Force Lima will roll out a transition plan to advance the safe adoption of generative AI. The task force will educate personnel on how to use AI tools, emphasizing the importance of experimentation and evaluation. The task force aims to provide access to and education about AI technologies through the sandbox, fostering technological development.

Google Maps has introduced generative artificial intelligence, allowing users to search for specific types of atmospheres in urban locations. By analyzing map information with AI models, it provides suggestions that meet user requirements. Generative AI is currently being rolled out to local guides in specific regions of the United States, with plans to expand coverage after testing.

NASA is using AI technology to advance the Artemis moon mission with the VIPER rover exploring the lunar surface. SHERPA acts as the AI brain behind the VIPER mission, applying time-constrained planning to the mission. The VIPER mission is pushing the boundaries of space exploration and paving the way for humanity's return to the Moon.

Output has launched Co-Producer, enhancing human creativity in music production with AI technology. The Pack Generator is the first tool that creates royalty-free sample packs through text prompts. Unlike other AI music tools, it is powered by a blend of generative AI and audio samples from real musicians. The Pack Generator helps music producers quickly find new creative inspiration. Output plans to release more Co-Producer AI music creation tools in 2024.

Deep Exploration has released a large model of 67B, named DeepSeekLLM67B. This model is fully open-source and can be accessed at chat.deepseek.com. DeepSeekLLM67B has performed well on public evaluation leaderboards, exhibiting excellent reasoning, mathematical, and programming capabilities. DeepSeek has also open-sourced models in two sizes, 7B and 67B, and provided 9 model checkpoints from mid-training.

🎬 Innovative AI is emerging in the Indian film industry, emphasizing ethical creation. 🤖 The Chief Data Officer of Zee Entertainment discusses the role of AI, highlighting the importance of human creativity. 📽️ Generative AI is transforming the way we approach intellectual property, with digital avatars' rights paving the way for the future.

The current mainstream alignment research directions are precisely designed to create better products. Simplified feedback models relying on human preferences only address surface-level issues. Preventing disaster requires serious involvement in ethical discussions regarding the application of artificial intelligence. Addressing technical issues requires attention to social context and governance structures. Public opinion is very important but cannot rely on those who profit from deployment.

Alibaba has launched the Quark Scanner King App based on AI large models, integrating various efficient scanning and editing functionalities. The Quark Scanner King App achieves precise and efficient text and image recognition through AI large models. This app meets users' needs for scanning, editing, and sharing in various scenarios, enhancing work and study efficiency.

Virtualitics is a startup that offers an enterprise AI-driven 3D data exploration platform, which has just announced the completion of a $37 million Series C funding round. Virtualitics' platform utilizes artificial intelligence and machine learning models to analyze data and presents the visualization results in 3D, helping users better understand complex data. Virtualitics plans to use this funding to expand its business, add more features, and enable users to analyze and understand complex numbers.