#233 - Moltbot, Genie 3, Qwen3-Max-Thinking - Last Week in AI Recap

Podcast: Last Week in AI

Published: 2026-02-06

Duration: 1 hr 21 min

Summary

This episode dives into the latest open-source AI developments, including Gemini's integration into Chrome and insights from recent AI research papers. The hosts emphasize the importance of community feedback and their commitment to making the podcast engaging and informative.

What Happened

In this episode of 'Last Week in AI', hosts Andrey Karenkov and Jeremy Harris thank their sponsors, ODSC AI and Box, while outlining the importance of applied data science and AI learning. They mention ODSC AI as a key community for practitioners to connect and learn, and BoxAI as a vital tool for organizations looking to leverage AI for content management. The episode sets a technical tone, focusing on notable open-source releases and papers rather than major business news.

The hosts also reflect on community engagement, expressing gratitude for listener feedback and comments, particularly on their YouTube channel. They note that the podcast is a labor of love, aimed at keeping both themselves and their audience informed about the rapidly evolving AI landscape. The discussion shifts to Gemini's new features in Chrome, marking a significant step in integrating AI into everyday tasks, which has sparked curiosity about user adoption and practical applications of AI tools in web browsing.

Key Insights

Key Questions Answered

What are the new features of Gemini in Chrome?

Google is adding an auto-browse feature in Chrome powered by Gemini, available to pro and ultra subscribers. This agent can perform multi-step tasks such as searching, scheduling appointments, and managing subscriptions, similar to existing AI tools like Cloud for Chrome and OpenAI's Atlas. Its integration into the most popular browser could potentially increase user adoption of AI tools, though the practical applications remain to be seen.

How does ODSC AI contribute to the AI community?

ODSC AI is highlighted as one of the longest-running communities focused on applied data science and AI, bringing together practitioners to learn from experts in the field. The conference offers hands-on training through workshops and boot camps, with opportunities for networking and collaboration, which is invaluable for startups and AI tool builders looking to stay ahead in the evolving landscape.

What role does BoxAI play in AI content management?

BoxAI is presented as a leading intelligent content management platform that enables organizations to fuel collaboration and streamline workflows using enterprise AI. It allows businesses to integrate their content with various AI model providers, making it easier to automate document processing, extract insights, and build custom AI agents, thereby transforming traditional business practices into AI-first approaches.

What feedback has the podcast received from listeners?

The hosts express appreciation for the growing listener feedback, especially on platforms like YouTube. They note that such comments enhance their experience and foster a sense of community among listeners, who are actively engaging with the content and asking for specific topics. This feedback loop is important for the hosts as they navigate the vast amount of information in the AI space.

How do the hosts manage their podcasting dynamics?

Andrey and Jeremy discuss their podcasting styles, noting that they both contribute equally to the discussion, despite Andrey speaking slower and more than Jeremy. They also mention how they adapt their pacing as episodes progress, particularly when time is tight, showcasing their ability to manage the flow of information effectively while keeping the content engaging and informative.