Generative AI and ML Insights

## TL;DR

Meta has launched its new AI chatbot, Llama 4, to rival ChatGPT and Gemini. Meanwhile, ChatGPT has become popular in India due to a viral trend of creating Studio Ghibli-inspired images, while also causing safety concerns regarding photo uploads. A study reveals that ChatGPT mirrors human decision biases, reflecting the challenges in perfecting AI technology.

—

## 🔍 What the World is Reporting (GenAI in the News)

The world of AI has been buzzing recently, with several noteworthy developments. Most notably, Meta has introduced its new Llama 4 models, sparking debate about the best AI chatbot in the market post-launch. Meanwhile, ChatGPT continues to make waves, not just with its competition with Meta AI, but also with its new Studio Ghibli tool. This tool is transforming the filmmaking and creativity industry, and users are flocking to use it. However, concerns have arisen about the safety of uploading photos to the platform for the Studio Ghibli makeover. There are also seven alternatives for creating Ghibli-inspired AI images.

In India, the AI surge is being fueled by ChatGPT’s users, who have created over 700 million images amid the viral Ghibli trend. Additionally, users are cautioned on the five things they should never say on ChatGPT, and how to resolve them if they’ve already been said. Microsoft has also joined the AI arena by introducing agent flows aimed at transforming automation with AI-first workflows.

Finally, Dartmouth has put its AI therapy chatbot through the RCT wringer, and Google is leading the future of AI search. To sum up, it’s a fascinating time in the world of AI, with multiple advancements and use cases emerging.

## 💬 What the Experts Are Saying (Insights from LinkedIn)

On LinkedIn, professionals are collectively driving conversations around machine learning and artificial intelligence (AI), primarily focusing on their application, innovation, and adaptability in various industries. There is a strong interest in the development and use of generative AI and the role it plays in understanding and transforming big data. The discourse also encompasses aspects of software engineering, AI in financial operations, and multimodal AI-based understanding. The intersectionality of AI with other disciplines, such as law and tech, is emphasized in these discussions. Finally, professionals emphasize the need to master AI in order to leverage its full potential, highlighting a proactive approach toward mutual growth and learning.

## 🔭 Emerging Trends in GenAI

1. Use of Generative AI in Creative Industries: There is a noticeable trend towards using Generative AI in creative and entertainment industries. As seen from the example of ChatGPT’s Studio Ghibli tool, AI is increasingly ushering in new opportunities for creativity and innovation in the sector. AI’s capabilities are being leveraged to create novel user experiences and to transform traditional creative workflows. However, this also raises concerns about data privacy and security, indicating a growing demand for robust safety measures within AI applications.

2. AI-first Approach in Automation: There is an emergence of an AI-first approach when it comes to automation, demonstrated by examples such as Microsoft introducing agent flows. This trend points to a shift towards embedding AI into the core of automation strategies, rather than just being an adjunct or an efficiency enhancer. Automation is being revamped and reimagined with the help of AI, thereby transforming operational workflows in various industries. This is also echoed in the identification of AI’s deep intersectionality with other fields, indicating its widespread, transformative potential.

Posted on [panasarts.com](https://panasarts.com)