Listen to today’s podcast: https://www.youtube.com/channel/UC-nqwUyvLDEvs7bV985k-gQ
AI Daily Podcast 02/01/2026
Today’s podcast episode was created from the following stories:
NASA taps Claude to conjure Mars rover’s travel plan
Source: The Register
By Thomas Claburn — January 31, 2026
NASA’s JPL used Anthropic’s Claude to pre‑plan portions of Perseverance’s route, generating waypoints from HiRISE imagery and elevation data and exporting commands in Rover Markup Language. Engineers validated the plan in simulation, made minor tweaks, and the rover successfully executed the route while AutoNav handled small deviations. JPL says AI could cut planning time roughly in half, signaling a careful but meaningful step for AI‑assisted planetary operations.
Google Drive’s AI nonsense finally pushed me to self-host my documents
Source: Android Authority
By Robert Triggs — January 31, 2026
Frustrated by AI features and storage limits, the author moves from Google Drive to a self‑hosted Seafile setup, citing strong file management, mobile apps, and granular sharing as wins. The trade‑offs: tougher setup, weaker native document editing, and the need to secure remote access (e.g., via Tailscale) without exposing services. It’s a pragmatic guidepost for listeners weighing privacy, cost, and convenience in cloud vs. self‑hosted file workflows.
This open-source AI tool makes Google Assistant look obsolete
Source: Android Authority
By Dhruv Bhutani — January 31, 2026
OpenClaw puts a controllable agent on your computer with deep system access, letting you trigger real tasks (like file organization) from apps like WhatsApp or Telegram and chain thousands of community “skills.” The power comes with real risk: prompt injection, misconfiguration, and broad permissions can be dangerous, so experts recommend running it on a dedicated machine and securing access via private networks. If you rely on cloud LLMs, expect a modest monthly cost, keeping this squarely in power‑user territory for now.
You can watch a ‘Video Overview’ of your NotebookLM research on Android now, and more
Source: Android Central
By Nickolas Diaz — January 31, 2026
NotebookLM brings Video Overviews to mobile, turning dense notes into AI‑generated, slideshow‑style videos with playback controls. Google also adds Slide Deck modes (Detailed vs. Presenter) and more Infographic customization, complementing earlier mobile features like AI flashcards and quizzes. It’s a nudge toward multimodal study tools that meet you where you are—reading, listening, or watching.
Digital Health: Recare entwickelt KI-Agenten für Klinik-Verwaltung
Source: Heise Online
By Marie-Claire Koch — January 31, 2026
Berlin’s Recare raised €37 million (plus a €7 million option) to build an AI agent that automates hospital admin—drafting and processing discharge letters, handover notes, and forms while structuring unstructured data for interoperability. The system integrates Voize’s speech model, runs with tenant‑specific inference, human‑in‑the‑loop review, and no customer data used for model training. Built on HL7v2 and FHIR with enterprise security and auditability, it aims to lighten clinicians’ documentation burden and accelerate rollout.
Gaming stocks tank as investors panic over Google’s Genie 3 AI — but should they?
Source: Windows Central
By Michael Hoglund — January 31, 2026
Google’s Genie 3 demo sparked a selloff in gaming stocks—Take‑Two reportedly shed over $3.5B—despite the tech’s current limits (short, 720p, 24 fps experiences) and infrastructure constraints. The piece argues this looks more like hype‑driven anxiety than an existential threat, with quality, IP, and compute realities tempering near‑term impact. What matters next is how studios experiment with—and message—AI to players and investors.
THE BIG FOUR’S AI REVOLUTION HAS A PROBLEM: HOW JUNIOR STAFF ACTUALLY LEARN
Source: Business Insider
By Polly Thompson — January 31, 2026
As AI agents consume the grunt work that once trained juniors, Big Four firms are rethinking how newcomers develop judgment and foundational skills. Leaders at KPMG, PwC, and EY highlight teaching the “why,” earlier client exposure, and learning to interrogate AI‑assisted analyses—but admit the model is still evolving. The open question: can accelerated, AI‑first pathways reliably produce tomorrow’s partners without years of repetitive apprenticeship?
I’ve Used ChatGPT Throughout My 2-Year IVF Journey. Here’s How It Helped Me
Source: CNET
By Amanda Smith — January 31, 2026
From decoding acronyms to estimating outcomes and interpreting labs, ChatGPT helped the author set expectations and make sense of a complex IVF process—though it sometimes got things wrong. The piece urges fact‑checking with clinicians and extreme caution with sensitive medical data, especially as “ChatGPT Health” rolls out. Used thoughtfully, AI can steady the emotional turbulence of IVF, but privacy and accuracy must come first.
