https://blog.nath.page/tags/artificial-intelligence/ Recent content in Artificial-Intelligence on blog.nath.page Hugo en-us Sun, 27 Sep 2026 00:00:00 +0000 https://blog.nath.page/posts/ai2/ Sun, 27 Sep 2026 00:00:00 +0000 https://blog.nath.page/posts/ai2/ <p>I have listened to several discussions on the topic of a possible emergency ushered in by artificial general intelligence.</p> <ul> <li>Diary of a CEO : <a href="https://www.youtube.com/watch?v=OhOmLqR5nN4">AI Emergency: The AI Labs Are Lying To Everyone, He Says 99% Chance Of Extinction</a></li> <li>All-In Podcast : <a href="https://www.youtube.com/watch?v=S7CrlFLAmEA">Jensen Huang: The Doomer Hoax, Superintelligence is Here, and The Future of AI (ft. President Trump)</a></li> <li>and many more&hellip;</li> </ul> <p>My thoughts on the matter at the moment are as follows.</p> https://blog.nath.page/posts/ai1/ Sun, 27 Sep 2026 00:00:00 +0000 https://blog.nath.page/posts/ai1/ <p>The terms agents, agentic AI, agentic development, etc. get used a lot in discussions today. I first paid attention to it after listening to <a href="https://www.youtube.com/watch?v=NYFGCESmikA">DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding &amp; Linux</a>. Then I started understanding what it was after listening to <a href="https://www.youtube.com/watch?v=Nf4NdV8m28I">Cal Newport&rsquo;s discussion of GPT 6</a>.</p> <p>At their core, AI agents are prompt loops. <strong>At each iteration, the agent assembles context from available inputs, invokes an LLM to reason and select an action, executes that action, observes the outcome, and feeds the observation back into the next iteration. This process repeats until the task is complete or a defined stopping condition is reached.</strong> (Copied verbatim from <a href="https://blogs.oracle.com/developers/what-is-the-ai-agent-loop-the-core-architecture-behind-autonomous-ai-systems">What is the AI Agent Loop?</a>). This is the <em>perceive → reason → plan → act → observe</em> loop.</p>