Mistral launches new AI models, including an enhanced ChatGPT competitor "Le Chat", while Gemini tops the LM Cy leaderboard and AI impacts nuclear security discussions. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 & 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 🆕 𝗠𝗶𝘀𝘁𝗿𝗮𝗹 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝘀 𝗻𝗲𝘄 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗳𝗿𝗲𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗮𝗹𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝘃𝗲𝘀. Mistral’s new models demonstrate the trend of free, high-quality AI tools, enhancing competition in the market. This could lead to wider adoption of AI in everyday applications. 🌐 𝗚𝗲𝗺𝗶𝗻𝗶 𝗿𝗮𝗻𝗸𝘀 #𝟭 𝗼𝗻 𝘁𝗵𝗲 𝗟𝗠 𝗖𝘆 𝗹𝗲𝗮𝗱𝗲𝗿𝗯𝗼𝗮𝗿𝗱, 𝗼𝘂𝘁𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗖𝗵𝗮𝘁𝗚𝗣𝗧. Gemini’s success reflects the importance of user feedback in AI development, emphasizing the need for models that perform well in real-world scenarios. 💻 𝗢𝗽𝗲𝗻𝗔𝗜’𝘀 𝗱𝗲𝘀𝗸𝘁𝗼𝗽 𝘂𝗽𝗱𝗮𝘁𝗲 𝗮𝗹𝗹𝗼𝘄𝘀 𝗰𝗼𝗱𝗲 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗶𝗻 𝗺𝗮𝗷𝗼𝗿 𝗜𝗗𝗘𝘀. OpenAI’s desktop integration signifies a shift towards making AI more accessible in professional environments, enhancing productivity for developers. 🛡️ 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗴𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗼𝗻 𝗻𝘂𝗰𝗹𝗲𝗮𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆. Anthropic’s partnership with the government signals a growing recognition of the ethical implications of AI technologies, especially regarding national security and sensitive data. 🤖 𝗔𝗜 𝗼𝘂𝘁𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝘀 𝗱𝗼𝗰𝘁𝗼𝗿𝘀 𝗶𝗻 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆. The ability of AI to surpass human capabilities in diagnostics may revolutionize healthcare, allowing for faster and more accurate patient assessments. 🛒 𝗣𝗲𝗿𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝘀𝗵𝗼𝗽𝗽𝗶𝗻𝗴 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗳𝗼𝗿 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗼𝗻𝗹𝗶𝗻𝗲 𝗽𝘂𝗿𝗰𝗵𝗮𝘀𝗲𝘀. Perplexity’s shopping feature exemplifies the merging of AI and e-commerce, potentially reshaping how consumers interact with online marketplaces. 🔥 𝗡𝘃𝗶𝗱𝗶𝗮’𝘀 𝗻𝗲𝘄 𝗰𝗵𝗶𝗽𝘀 𝗳𝗮𝗰𝗲 𝗼𝘃𝗲𝗿𝗵𝗲𝗮𝘁𝗶𝗻𝗴 𝗶𝘀𝘀𝘂𝗲𝘀 𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. Nvidia’s overheating issues with new chips highlight the challenges in scaling AI hardware, which could delay advancements in AI applications and affect market competitiveness. What was your biggest news in #AI this week? Share it 🔥 ♻️ If you have found this post insightful - share it with your community ♻️ https://www.skool.com/skool-ai-masterclass/47-ai-news?p=3bfdc07b

AI innovation is slowing down as major companies struggle with next-gen models, while new updates and partnerships emerge in the space. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 & 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 🚀 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝗳𝗮𝗰𝗶𝗻𝗴 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗻𝗲𝘅𝘁-𝗴𝗲𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. Slower Innovation Pace: The struggle for AI companies to deliver major performance improvements indicates a potential plateau in technological advancements, emphasizing the complexity of scaling up AI models. 💻 𝗢𝗽𝗲𝗻𝗔𝗜’𝘀 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗵𝗮𝘀 𝘁𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻𝗲𝗱 𝘁𝗼 𝘁𝗵𝗲 𝗰𝗹𝗲𝗮𝗻𝗲𝗿 𝗱𝗼𝗺𝗮𝗶𝗻 𝗰𝗵𝗮𝘁.𝗰𝗼𝗺. Domain Name Change: ChatGPT’s rebranding to chat.com signifies a strategic move to streamline its identity, which may enhance user engagement. 🌐 𝗢𝗹𝗹𝗮𝗺𝗮 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝗱 𝘃𝗶𝘀𝗶𝗼𝗻 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝘁𝗵𝗲𝗶𝗿 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗲𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆. Ollama’s Vision Capabilities: The introduction of vision support highlights the growing importance of multi-modal AI, allowing users to interact with models through various inputs. 🤖 𝗣𝗮𝗹𝗲𝗿 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝘁𝗼 𝗯𝗿𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 𝘁𝗼 𝘀𝗲𝗰𝘂𝗿𝗲 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀. Government Partnerships: The collaboration between Paler and Anthropic underscores the trend of integrating advanced AI into sensitive sectors, raising ethical and security considerations. 📈 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗧𝗶𝗻𝘆 𝗧𝗿𝗼𝗼𝗽, 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝗳𝗼𝗿 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁𝘀. Tiny Troop Initiative: Microsoft’s new project illustrates a creative approach to agent-based simulations, paving the way for future AI-driven interactive experiences. 📊 𝗧𝗦𝗠𝗖 𝗶𝘀 𝗿𝗲𝘀𝘁𝗿𝗶𝗰𝘁𝗲𝗱 𝗳𝗿𝗼𝗺 𝗺𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗰𝗵𝗶𝗽𝘀 𝗼𝘂𝘁𝘀𝗶𝗱𝗲 𝗧𝗮𝗶𝘄𝗮𝗻, 𝗶𝗺𝗽𝗮𝗰𝘁𝗶𝗻𝗴 𝗰𝗵𝗶𝗽 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. Chip Manufacturing Restrictions: TSMC’s limitations on chip production outside of Taiwan could exacerbate global tech tensions, impacting supply chains and innovation. 🦾 𝗡𝗲𝘄 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝘀 𝗶𝗻 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝘀𝗵𝗼𝘄𝗰𝗮𝘀𝗲𝗱 𝗮𝗴𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗮𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗮 𝗖𝗵𝗶𝗻𝗲𝘀𝗲 𝗿𝗼𝗯𝗼𝘁 𝗱𝗲𝗺𝗼. Robotics Advancements: The demo of a highly agile robot reflects significant progress in robotics, suggesting future applications in various industries and daily life. What was your biggest news in #AI this week? Share it 🔥

Claude 3.5 Haiku has been released amid pricing controversies, while OpenAI faces compute challenges, and new advancements in robotics and gaming emerge. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 & 𝗞𝗲𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 🚀 𝗖𝗹𝗮𝘂𝗱𝗲 𝟯.𝟱 𝗛𝗮𝗶𝗸𝘂 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱, 𝗼𝘂𝘁𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗽𝗮𝘀𝘁 𝗺𝗼𝗱𝗲𝗹𝘀 𝗯𝘂𝘁 𝗮𝘁 𝗵𝗶𝗴𝗵𝗲𝗿 𝗰𝗼𝘀𝘁𝘀. Claude 3.5 Haiku’s Performance: While it boasts improved capabilities, the steep price hike has left many users frustrated, highlighting the balancing act between innovation and affordability. 💰 𝗣𝗿𝗶𝗰𝗶𝗻𝗴 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲: $𝟭/𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗶𝗻𝗽𝘂𝘁 𝘁𝗼𝗸𝗲𝗻𝘀, 𝗿𝗮𝗶𝘀𝗶𝗻𝗴 𝗰𝗼𝗻𝗰𝗲𝗿𝗻𝘀 𝗮𝗺𝗼𝗻𝗴 𝘂𝘀𝗲𝗿𝘀. Pricing Strategy Concerns: The significant increase in token costs could alienate users, potentially impacting user adoption and overall market competitiveness. 🎃 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰’𝘀 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗯𝗹𝗼𝗴 𝗽𝗼𝘀𝘁 𝘄𝗮𝘀 𝗽𝗼𝗼𝗿𝗹𝘆 𝗿𝗲𝗰𝗲𝗶𝘃𝗲𝗱, 𝗿𝗮𝗶𝘀𝗶𝗻𝗴 𝗲𝘆𝗲𝗯𝗿𝗼𝘄𝘀. Regulatory Capture Debate: Anthropic’s push for regulation signals a strategic move that may backfire if perceived as self-serving, complicating public perception. 🤖 𝗡𝗲𝘄 𝗹𝗮𝘂𝗻𝗱𝗿𝘆 𝗿𝗼𝗯𝗼𝘁 𝗯𝘆 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘀𝗵𝗼𝘄𝗰𝗮𝘀𝗲𝘀 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀. Advancements in Robotics: The release of a laundry robot showcases the potential for AI to take on everyday tasks, marking a significant step toward practical household automation. 🕹️ 𝗢𝗮𝘀𝗶𝘀 𝗮𝗻𝗱 𝗗𝗲𝗰𝗸𝗮𝗿𝘁 𝗔𝗜 𝗰𝗿𝗲𝗮𝘁𝗲 𝗮 𝗽𝗹𝗮𝘆𝗮𝗯𝗹𝗲 𝗠𝗶𝗻𝗲𝗰𝗿𝗮𝗳𝘁 𝗴𝗮𝗺𝗲 𝘂𝘀𝗶𝗻𝗴 𝗱𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. Gaming Evolution: The collaboration between Oasis and Deckart AI exemplifies the future of gaming, where traditional coding is replaced by innovative AI-driven content creation. 📈 𝗚𝗼𝗼𝗴𝗹𝗲 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗮𝘁 𝟮𝟱% 𝗼𝗳 𝗶𝘁𝘀 𝗰𝗼𝗱𝗲 𝗶𝘀 𝗔𝗜-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱, 𝗯𝗼𝗼𝘀𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆. AI in Software Development: Google’s revelation about AI-generated code emphasizes the transformative impact of AI in software engineering, suggesting a shift in how developers work. 📜 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗻𝗼𝘄 𝗮𝗹𝗹𝗼𝘄𝘀 𝘂𝘀𝗲𝗿𝘀 𝘁𝗼 𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗰𝗵𝗮𝘁 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗳𝗼𝗿 𝗲𝗮𝘀𝗶𝗲𝗿 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲. ChatGPT Enhancements: The ability to search chat history enhances user experience, making it easier to retrieve important information and improving overall functionality. What was your biggest news in #AI this week? Share it 🔥

I am working on videos for my homeopathy course in Skool. The videos were created last week with a regular video camera. At this point I am trying to write a book based on the videos. It is taking a lot of time typing. Someone told me there may be an AI program that can take the video and turn it into a text document. Is that an option and what program would I need to use? I am very new at all of this tech part.

Looking forward to make connections and learn about opportunities. Hope to hear from some of you soon. Fred Jansen