Google’s NotebookLM Now Lets You Customize Its AI Podcasts Leave a comment

Google simply added a brand new customization software for the viral AI podcasts in its NotebookLM software program. I received early entry and examined it out utilizing Franz Kafka’s The Metamorphosis because the supply materials, spending a couple of hours producing podcasts concerning the seminal novella—a few of them extra unhinged than others.

Launched by Google Labs in 2023 as an experimental, AI-focused writing software, NotebookLM has been having fun with a resurgence in consumer curiosity since early September, when the builders added an choice to generate podcast-like conversations between two AI voices—one male-sounding and one female-sounding—from uploaded paperwork. Whereas these audio “deep dives” can be utilized for learning and productiveness, most of the viral clips on-line centered on the leisure issue of asking robotic hosts to debate weird or extremely private supply paperwork, like a LinkedIn profile.

Raiza Martin, who leads the NotebookLM workforce inside Google Labs, is pumped to provide customers extra management over the content material of those artificial podcasts. “It is the primary characteristic we have heard folks request,” she says. “They wish to present a bit of little bit of suggestions as to what the deep dive focuses on.” In accordance with Martin, that is the primary replace of many coming down the pipeline.

Nearing the one yr anniversary of its full launch, NotebookLM can also be dropping the “experimental” tag—an indication it’s not headed in direction of the perpetual Google graveyard of deserted software program, or at the very least for now. Martin says this label was eliminated because the workforce hit inside milestones for general high quality, consumer retention, and interface requirements. She additionally says customers can now anticipate the next degree of stability from the software program.

Customise the AI Podcasts

To make an AI podcast utilizing NotebookLM, open up the Google Labs website and begin a New Pocket book. Then, add any supply paperwork you wish to be used for the audio output. These will be something from recordsdata in your pc to YouTube hyperlinks.

Subsequent, while you click on on the Pocket book information, you’ll now see the choice to generate a deep dive in addition to the choice to customise it first. Select Customise and add your immediate for a way you’d just like the AI podcast to come back out. The software program suggests that you just think about what sections of the sources you’d like highlighted, bigger matters you need additional explored, or completely different meant audiences who you need the message to achieve.

One tip Martin shares for attempting out the brand new characteristic is to generate the Audio Overview with out adjustments, and when you’re listening to this primary iteration, write down any burning questions you’ve gotten or matters you would like it expanded on. Afterwards, use these notes as a launching pad to create your prompts for NotebookLM and regenerate that AI podcast along with your pursuits in thoughts.

My First Impressions

I uploaded an 80-page file of Kafka’s well-known work of existential literature—in it, the primary character wakes up one morning to search out that he has changed into a big bug—to see how the customization will work for NotebookLM customers. The primary Audio Overview it generated, sans immediate customization, was a stable, albeit broad overview of what occurs within the novella, in addition to some dialogue of its key themes. Nothing groundbreaking, however first rate.

Pondering like a nerdy school English main, which I positively was, my first immediate adjustment was for the podcast dialogue to focus extra on themes of alienation and overbearing paperwork discovered within the guide. With the additional nudge, this output from NotebookLM did an admirable job of zeroing in on these motifs and producing a dialogue that sounded just like what I’ve heard earlier than in school school rooms. It was a bit meandering, however completely listenable.