EP47: GPT-5 Rumors, AutoGen Studio, SeeAct Web Agents, Google AMIE, Anthropic’s Sleeper Agents
Jan 17, 2024
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Entrepreneur and computer scientist, Sam Altman, discusses the buzz around GPT-5 and its potential improvements. The podcast also covers Microsoft's CoPilot Pro, AutoGen Studio, collaborative AI agents, Google AMIE's diagnostic capabilities, and Anthropic's Sleeper Agents experiment.
The combination of language and vision models in AI agents shows promise for the future of web navigation and task completion.
The development of AI agents is becoming more accessible and can automate tasks in various industries, increasing productivity and efficiency.
Optimizing websites for AI search is crucial for businesses to rank higher in AI search results and stay relevant in online businesses.
Deep dives
CAC: GPT for Vision in a Generalist Web Agent
CAC is a system that combines GPT-4 with a vision model to navigate websites and complete tasks. Given a task like finding drug interactions on a website, CAC takes a screenshot, asks GPT-4 where to click, and then uses vision to locate the element in the website's DOM. Although the code is not easily usable yet, the concept of combining language and vision models for web navigation and task completion shows promise for the future of AI agents.
Agents Becoming More Commonplace
The development of AI agents that can automatically perform tasks on desktop browsers or phones is becoming more accessible and less challenging. The availability of APIs and frameworks like Large Language Models and Vision Models make it easier to glue models together to accomplish tasks. As the technology progresses, agents will continue to replace manual labor and automate tasks in various industries.
Specialist AI Agents in Different Professions
AI agents have the potential to replace or augment workers in different professions, such as sales or specific data-driven tasks. For example, AI agents can automate email sequences for sales development representatives. The development of specialized AI agents tailored to specific professions can lead to increased productivity and efficiency.
The Future of AI Agents
The future of AI agents involves a combination of specialized models and the ability to delegate tasks to other agents. Developers can leverage APIs to build agents that can navigate the web, complete specific tasks, and report back the results. The integration of language models, vision models, and developing techniques like multitask learning will contribute to the advancements of AI agents and their applications.
Optimizing Websites for AI Search
The podcast discusses the importance of optimizing websites for AI search. It is emphasized that in the future, AI will be the primary way of searching the web, and businesses need to optimize their websites to rank higher in AI search results. This involves labeling HTML elements properly and creating custom DOM elements to improve navigation for AI. The podcast mentions the potential use of additional site elements like documents or improved HTML tags to enhance discoverability. Overall, the episode highlights the significance of optimizing websites for AI search to stay relevant in online businesses.
AI in Medical Diagnosis
The podcast episode delves into the development of AI in the field of medical diagnosis. It discusses a recent paper released by Google that explores an AI system trained to engage in diagnostic medical reasoning and conversations with patients. The AI system shows promise in analyzing patient context, refining diagnostics, and offering accurate diagnoses. While some doctors assist the AI by incorporating search materials during the diagnostic process, the AI model itself achieves better accuracy and empathy ratings than human doctors in certain cases. The podcast emphasizes the potential of AI in providing better access to specialized medical knowledge and improving accuracy in diagnosis, particularly for rare conditions.
DESCRIPTION ==== In this episode, we dive into the buzz around GPT-5, sparked by Sam Altman's revelations on Bill Gates' latest podcast. We share our top hopes and dreams for GPT-5 and future AI advancements. Next, we delve into Microsoft's new CoPilot Pro Subscription, exploring how it stands out from ChatGPT Plus. Chris takes AutoGen Studio for a spin and ponders over its ideal user base. The episode then shifts to the intriguing concept of collaborative AI agents - is this the path to AI's mastering reasoning, reflection, and profound thought? We dissect the insights from the SeeAct Web Agents study, assessing its influence on AI agent development. Shifting gears, we discuss Google AMIE's groundbreaking ability to outperform doctors in diagnoses, even those assisted by AI. To wrap up, we spotlight the significance of Anthropic's Sleeper Agents experiment and its groundbreaking findings.
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CHAPTERS: ==== 00:00 - Cold Open 00:31 - GTP-5 Rumors & Leaks 07:32 - Microsoft CoPilot Pro 22:27 - Microsoft's AutoGen Studio: An open-source UI for AutoGen 38:53 - The Future of AI Agents? LAMs and SeeACT Web Agent Paper 1:00:19 - Google AMIE: Can AI Replace Doctors for Diagnosis? 1:13:12 -Anthropic's Sleep Agents Experiment
