AIGuys Digest

🌟 Welcome to the AIGuys Digest Newsletter, where we cover State-of-the-Art AI breakthroughs and all the major AI news🚀

In this thrilling edition of May 2024, we’re diving headfirst into the ever-evolving universe of Artificial Intelligence. 🧠✨ Here, innovation isn’t just a buzzword — it’s the heartbeat of our community.

And if you want to up your AI game, please check my new book on AI, which covers a lot of AI optimizations and hands-on code:

Ultimate Neural Network Programming with Python

🔍 Inside this Issue:

• 🤖 Latest Breakthroughs: This month it is all about AI agents and the groundbreaking KAN paper.
• 🌐 AI Monthly News: Discover how these innovations are revolutionizing industries and everyday life: Releasing GPT 4o, OpenAI ethical concerns, Google’s I/O, and Microsoft’s privacy issues with new Windows AI.
• 📚 Editor’s Special: This covers the interesting talks, lectures, and articles we came across recently.

Let’s embark on this journey of discovery together! 🚀🤖🌟

Follow me on Twitter and LinkedIn at RealAIGuys and AIGuysEditor.

Latest Breakthroughs

Let’s understand the four components of Agentic workflows: Reflection, tool use, planning, and multi-agent collaboration.

AI Agentic Workflow

Let’s get an overview of agent systems, and understand how do they use different tools. Let’s also look into different types of Agents, how they are solving memory issues, and what problems they face as of now.

AI Agents Are All You Need

To solve the issues of memory we even engineered RAG pipelines, acting out as a semi-context window for LLMs. Context window is like a short-term memory for LLMs, the bigger the window is, the bigger context we can fit in there and thus enable a better or more nuanced answer. Let’s see how Google’s DeepMind infinite context window for LLMs works.

Infinite Context For LLMs

MLPs or Multi-layer perceptrons sit at the very bottom of AI architectures. Dense layer (MLPs) is part of almost every Deep learning architecture. This paper directly challenges that foundation. Not only does it challenge the MLPs but also the black box nature of these models.

Can KAN Beat MLPs?

AI Monthly News

Releasing GPT 4o

People were hoping for some really good performance from GPT 4o(omni). Now they have definitely made it faster, and have increased the multimodal capacities. It is and end-to-end multi-modal, whereas earlier ones were different modalities combined together, but the overall performance is either similar or slightly worse than GPT 4.

https://openai.com/index/hello-gpt-4o/

Big Tech: Can We Trust Them?

Also, there is a lot of drama happening at OpenAI, with people getting fired or leaving. OpenAI disbanded its team, “Superalligment,” which was focused on long-term AI Risk, a few days after internal conflicts and leadership resignations. High-profile exits like Illya and restructuring highlight tensions over prioritizing safety versus product innovation.

The launch of GPT-4o raises ethical concerns despite an ongoing commitment to AI advancements given the scandal of using Scarlett Johansson’s voice with the release of GPT-4o. Also, a few ex-employees came and talked about Sam Altman’s behavior.

Open AI disbands the Super Alignment team

Wrapping Up Google I/O

Here are the major AI-related announcements from Google I/O 2024:

1. Imagen 3: This new model generates photorealistic images from detailed text prompts, enhancing creative applications.
2. Veo: An AI-powered video generation tool that produces 1080p resolution videos with realistic movements and cinematic styles.
3. AI Overviews in Google Search: Provides comprehensive summaries of complex topics at the top of search results.
4. Android Enhancements: AI features for detecting spam calls, generating creative images, and providing detailed descriptions for accessibility.

Blog: Click here

Google KeyNote: Click here

Microsoft’s Privacy Issues With New Windows AI

AI functionalities are now embedded across Windows 11, including File Explorer, Edge, and system notifications. This integration aims to provide a seamless and intelligent user experience by offering contextually aware assistance and automating routine tasks​. Microsoft introduced a new series of products, named Copilot+ PCs, that are designed to be integrated with artificial intelligence technology in mind.

However the new AI device features have raised privacy concerns. In particular, one feature that Microsoft refers to as “Recall” allows the device to take snapshots of a person’s screen every few seconds. These screenshots are encrypted and then stored locally on the individual’s device.

Big privacy issues: click here

Editor’s Special

• The Reality of AI Hype: Click here
• Four Ways of Thinking: Statistical, Interactive, Chaotic, and Complex: Click here
• The Next Great Scientific Theory is Hiding Inside a Neural Network: Click here

🤝 Join the Conversation: Your thoughts and insights are valuable to us. Share your perspectives, and let’s build a community where knowledge and ideas flow freely. Follow us on Twitter and LinkedIn at RealAIGuys and AIGuysEditor.

Thank you for being part of the AIGuys community. Together, we’re not just observing the AI revolution; we’re part of it. Until next time, keep pushing the boundaries of what’s possible. 🚀🌟

Your AIGuys Digest Team