The software generates a podcast referred to as Deep Dive, which includes a male and a feminine voice discussing no matter you uploaded. The voices are breathtakingly reasonable—the episodes are laced with little human-sounding phrases like “Man” and “Wow” and “Oh proper” and “Maintain on, let me get this proper.” The “hosts” even interrupt one another.
To try it out, I copied each story from MIT Expertise Evaluation’s A hundred and twenty fifth-anniversary situation into NotebookLM and made the system generate a 10-minute podcast with the outcomes. The system picked a few tales to give attention to, and the AI hosts did an amazing job at conveying the final, high-level gist of what the problem was about. Have a hear.
MIT Expertise Evaluation A hundred and twenty fifth Anniversary situation
The AI system is designed to create “magic in trade for a bit of little bit of content material,” Raiza Martin, the product lead for NotebookLM, stated on X. The voice mannequin is supposed to create emotive and fascinating audio, which is conveyed in an “upbeat hyper-interested tone,” Martin stated.
NotebookLM, which was initially marketed as a research software, has taken a lifetime of its personal amongst customers. The corporate is now engaged on including extra customization choices, akin to altering the size, format, voices, and languages, Martin stated. At present it’s presupposed to generate podcasts solely in English, however some customers on Reddit managed to get the software to create audio in French and Hungarian.
Sure, it’s cool—bordering on pleasant, even—however it is usually not immune from the issues that plague generative AI, akin to hallucinations and bias.
Listed below are a few of the most important methods persons are utilizing NotebookLM thus far.
On-demand podcasts
Andrej Karpathy, a member of OpenAI’s founding group and beforehand the director of AI at Tesla, stated on X that Deep Dive is now his favourite podcast. Karpathy created his personal AI podcast collection referred to as Histories of Mysteries, which goals to “uncover historical past’s most intriguing mysteries.” He says he researched matters utilizing ChatGPT, Claude, and Google, and used a Wikipedia hyperlink from every subject because the supply materials in NotebookLM to generate audio. He then used NotebookLM to generate the episode descriptions. The entire podcast collection took him two hours to create, he says.
