Meta gets shaky, healthcare gets AI push, Microsoft and Amazon catching up AI_Distilled #109: What’s New in AI This Week Looks like fall is coming. To begin this crispy month, we have a news roundup specially curated for you. The AI landscape is blazing hot with talent wars, new models, competitive launch plans and pivotal strategy shifts. Let’s go and check what happened this week. LLM Expert Insights, Packt 📈LATEST DEVELOPMENT Rivals heat up the competition It looks like DeepSeek is continuing to challenge OpenAI, while Garmin is keeping Apple on its toes. DeepSeek aims to launch AI agent rival to OpenAI DeepSeek plans to release a successor to its R1 model by the end of 2025, an AI agent capable of completing complex, multi-step tasks with minimal user input (Bloomberg). Garmin unveils high-end outdoor smartwatch ahead of Apple Garmin has introduced a rugged, top-tier sports smartwatch designed for hikers, launching just days before Apple’s expected update, signaling strong competition in the premium wearable segment (Bloomberg). Google on new models spree It looks like Google is swiftly and silently working its way through compact models and ones that everyone can use and released three new models in the last month, Gemma 3 270M, Embedding Gamma, and Nano Banana for the Gemini app. Gemma 3 270M Google introduces Gemma 3 270M, a new, compact AI model from the Gemma family. With 270 million parameters, it is designed for efficient fine-tuning and is ideal for on-device and research applications (Google Developers Blog/Gemma). EmbeddingGemma is a new, open embedding model for on-device AI. The 308 million parameter model is highly efficient and designed for offline use, making it suitable for privacy-sensitive applications (Google Developers Blog/Gemma). Gemini's Image Editing Model The Gemini app has a major upgrade to its image editing with a new model from Google DeepMind. The tool preserves a subject's likeness while editing images, and all creations are marked with a visible and invisible SynthID digital watermark (Google Blog/Gemini). Meta is not happy with their models? Meta’s AI leadership is considering an unusual step – using rival models from Google or OpenAI to improve Meta’s own AI chatbot features. This internal discussion signals that Meta (despite developing Llama models) might pragmatically integrate outside large-language models to boost AI capabilities in Instagram, Facebook and its other apps (The Information). Apple plans Siri overhaul with Gemini Gemini – Google’s forthcoming generative AI model – is emerging as a key strategic asset. Reports indicate Apple’s planned Siri overhaul will rely on Google’s Gemini models for AI search and responses. This rumored Apple–Google deal (leaked via Bloomberg) suggests Google’s multi-modal Gemini system could soon power Siri’s intelligence, underscoring Gemini’s expected capabilities (TechCrunch). Microsoft and Amazon slowly catching up Microsoft and Amazon are warming up with their new tools and models. While, Microsoft is moving beyond OpenAI with its own models, Amazon is pushing deeper into AI-driven shopping with a new visual search tool. Microsoft debuts in-house AI After years of partnering with OpenAI, Microsoft quietly unveiled its own large models. It introduced MAI-1-preview (text) and MAI-Voice-1 – the company’s first fully homegrown AI models. This strategic shift could complicate the Microsoft–OpenAI alliance. Microsoft claims MAI-1 is “up there with the world’s best models,” though no benchmarks are public yet. The move shows Microsoft doubling down on internal R&D, even as it continues to integrate OpenAI tech across products ((The Verge)). Amazon introduces AI visual search Amazon launched Lens Live, a real-time AI shopping assistant in its mobile app. The feature uses your smartphone camera to instantly recognize products and find matches from Amazon’s catalog – essentially Amazon’s version of Google Lens for shopping. It integrates Rufus, Amazon’s AI assistant, into the camera view to provide product details and Q&A on the fly. Rolling out to tens of millions of iOS users, Lens Live aims to own the “see it, buy it” impulse moment and keep Amazon ahead in visual commerce (TechCrunch). 📈HIDDEN GEMS - AI TOOLS Vibe coding has a growing ecosystem of tools to support both developers and non-developers. Some of the popular tools include Bolt, Copilot, Cursor, Lovable, Replit, and Windsurf. You can use these tools to create applications using natural language, dramatically reducing the time from idea to deployment. If you are prototyping new systems, these tools will help you quickly create and demo your proof of concepts. Each tool takes a slightly different approach, from assisting professional engineers to empowering complete beginners. Lovable, Cursor, and Replit, have gained spotlight in recent times and are known for their market traction, innovative features, and active user communities. LOVABLE Description: Lovable enables non-technical users to create full-stack apps using natural language. It integrates frontend, backend, and deployment seamlessly. Pricing starts free, with a $25/month Pro plan. The community praises its ease of use but notes limitations for complex production projects. CURSOR Description: Cursor reimagines VS Code as an AI-native IDE, offering contextual autocomplete, refactoring, Bugbot debugging, and background agents. Plans range from free to ~$400/month based on your requirements. Developers value its deep AI integration but have criticized recent confusing pricing changes. REPLIT Description: Replit provides a browser-based IDE with AI assistants, collaborative editing, and deployment tools. Pricing spans from free to $20/month (Core) and $35/month (Teams). Users appreciate its accessibility and teamwork features, though AI usage caps frustrate heavy coders. Become the AI Generalist that makes big $$ Using AI Join Outskill's 2 day AI- Mastermind this weekend (usually for $895) and become an AI expert. When: Saturday and Sunday, 10 AM - 7 PM. Register Now for Free EXPERT INSIGHTS Lior Gazit, Expert Instructor at 'Build AI Agents Over The Weekend (Cohort 2)' September 13–14 (Sat–Sun)Live & Online | Limited SeatsLangChain, AutoGen, CrewAI | Hands-on Workshop By Lior Gazit Advanced LLM Techniques and Multi-Agent Systems: Exploring RAGs, routing, and real-world LLM engineering In my latest technical talk, I go beyond the basics of LLMs and explore what it takes to build LLM-based systems with real-time decision-making, cost controls, and composable orchestration. These are accompanied with standalone Jupyter notebooks. We’ll cover... Read the full article on Substack → Sign Up for the Event Built something cool? Tell us. Whether it's a scrappy prototype or a production-grade agent, we want to hear how you're putting generative AI to work. Drop us your story at nimishad@packtpub.com or reply to this email, and you could get featured in an upcoming issue of AI_Distilled. 📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us. If you have any comments or feedback, just reply back to this email. Thanks for reading and have a great day! That’s a wrap for this week’s edition of AI_Distilled 🧠⚙️ We would love to know what you thought—your feedback helps us keep leveling up. 👉 Drop your rating here Thanks for reading, The AI_Distilled Team (Curated by humans. 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LLM Expert Insights, Packt
05 Sep 2025