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Dive into the much-anticipated GPT-5 update. We cut through the hype to analyze OpenAI's latest offering, covering its new unified architecture, efforts to reduce hallucinations, enhanced memory, and the controversial decision to deprecate GPT-4. Is GPT-5 the leap towards AGI we've been promised, or just an incremental step? We compare its capabilities against Gemini, Grok, and Claude, and share our candid thoughts on whether it truly delivers or leaves us more excited for upcoming models like Gemini 3.0.

Dive into the AI coding revolution! This episode explores how AI is transforming software development, from rapid prototyping and coding assistance with tools like GitHub Copilot, to the rise of generative coding. Learn the key trends, essential tools, and practical ways you can leverage AI to build faster and smarter. Perfect for developers and anyone curious about the future of code.

Ever wished your AI could actually do things directly from your terminal, beyond just chatting? Google's new Gemini CLI is here, and it's a game-changer! Unlike previous closed-source tools, this open-source power tool brings the intelligence of Gemini Pro right to your command line. We're talking direct file system access, automated project setups, and a powerful "reason and react" loop that lets AI analyze, plan, and execute tasks on your machine. Perfect for DevOps, developers, and anyone ready to automate their workflow. Is your terminal ready for its new brain?

Are Large Language Models (LLMs) truly intelligent, or just sophisticated pattern matchers? This episode dives deep into a fascinating debate sparked by Apple's recent research paper, which questioned the reasoning capabilities of LLMs. We explore the counter-arguments presented by OpenAI and Anthropic, dissecting the methodologies and the core disagreements about what constitutes genuine intelligence in AI. Join us as we unpack the nuances of LLM evaluation and challenge common perceptions about AI's current limitations.

Dive deep into the world of AI communication with this episode, focusing on the game-changing MCP (Model Context Protocol). Discover how this protocol, pioneered by Anthropic, acts as a universal translator, enabling AI models to seamlessly interact with external services like Google, Twitter, or even your private databases. Learn why MCP was developed to overcome the limitations of static API documentation, ensuring consistent and accurate information for AI. We'll explore its client-server architecture, how it empowers custom integrations, and why it's becoming the core of connecting LLMs to the vast digital world. Get ready to understand the future of AI interaction!

Dive into the rapidly evolving world of Large Language Models! This episode breaks down the latest updates on cutting-edge models like Gemini 2.5 Pro (with its 2 million context window), the ambitious Llama 4, GPT-4o's impressive image generation, and Cloud's Sonnet 3.7. We explore key trends such as expert architectures, the nuances of leaderboard performance (including Llama 4's controversy), the emergence of "deep thinking" AI capable of independent research, and the potential impact of upcoming models like GPT-5. Discover how these advancements are shaping the future of AI.

In this episode - I take on the task of explaining what vibe coding is, and if we should keep studing software engineering. I introduce some vibe coding tools, including the latest one Firebase Studio from Google

Last week OpenAI released a new model called O1 - which has advanced capabilities to reason and does a lot better in maths and coding. How does it do this and what does this change? This and more in this episode.

In the world of many open source LLM models, Google Gemma stands out with some unique capabilities. Firstly its made by Google after all - so its implementation is fully optimized and memory efficient. This and more on what is Gemma about and how its better.

This episode dives into the exciting world of on-device AI, specifically Large Language Models (LLMs) running directly on your smartphone! We'll explore why cramming this powerful tech into your pocket is a game changer, and discuss how LLMs can transform your daily interactions with your phone.

In this episode we cover the latest updates from Google IO and OpenAI Spring update. The all new ChatGPT-o and Gemini 1.5 Flash. We talk about where are LLMs headed next.

Lama3 is a popular open source model by Meta, the company behind Facebook, Instagram and Whatsapp. They have release the next iteration of the famous Lama2 model, this is a popular open source LLM which is heavily used by developers world wide. Is the new iteration strong enough to take on the best closed source models? We explore in this episode.

As we move to use LLMs more and more for different use cases, we will run into at times issues or limitations with the model. There are many different ways to train the model to do a specific task better, and fine tuning is one of them. What is about, when do we need to use it and how do we do it - all in this episode.

This episode covers my journey as a GDE over the last few years, what got me into it, and what is the big outcome. Also joined another category for GDE in Machine Learning.

In this episode I share my thoughts on the latest additional to AI development called Deven, and where the industry is moving towards. Will software engineering be taken over by AI in the next few years?