The device generates a podcast known as Deep Dive, which includes a male and a feminine voice discussing no matter you uploaded. The voices are breathtakingly sensible—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 check it out, I copied each story from MIT Expertise Evaluate’s 125th-anniversary issue into NotebookLM and made the system generate a 10-minute podcast with the outcomes. The system picked a few tales to deal with, and the AI hosts did a terrific job at conveying the final, high-level gist of what the difficulty was about. Have a pay attention.
MIT Expertise Evaluate a hundred and twenty fifth Anniversary subject
The AI system is designed to create “magic in alternate for slightly little bit of content material,” Raiza Martin, the product lead for NotebookLM, said on X. The voice mannequin is supposed to create emotive and interesting audio, which is conveyed in an “upbeat hyper-interested tone,” Martin stated.
NotebookLM, which was originally marketed as a study tool, has taken a lifetime of its personal amongst customers. The corporate is now engaged on including extra customization choices, equivalent to altering the size, format, voices, and languages, Martin stated. At present it’s imagined to generate podcasts solely in English, however some customers on Reddit managed to get the device 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, equivalent to hallucinations and bias.
Listed below are a number of the major methods persons are utilizing NotebookLM thus far.
On-demand podcasts
Andrej Karpathy, a member of OpenAI’s founding staff and beforehand the director of AI at Tesla, said on X that Deep Dive is now his favourite podcast. Karpathy created his personal AI podcast sequence known as Histories of Mysteries, which goals to “uncover historical past’s most intriguing mysteries.” He says he researched subjects utilizing ChatGPT, Claude, and Google, and used a Wikipedia hyperlink from every matter because the supply materials in NotebookLM to generate audio. He then used NotebookLM to generate the episode descriptions. The entire podcast sequence took him two hours to create, he says.
