Tech

Google’s NotebookLM Now Lets You Customise Its AI Podcasts


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

Launched by Google Labs in 2023 as an experimental, AI-focused writing tool, NotebookLM has been having fun with a resurgence in person 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 finding out and productiveness, most of the viral clips on-line targeted 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 offer customers extra management over the content material of those artificial podcasts. “It is the primary function we have heard individuals request,” she says. “They need to present just a little little bit of suggestions as to what the deep dive focuses on.” In keeping with Martin, that is the primary replace of many coming down the pipeline.

Nearing the one yr anniversary of its full launch, NotebookLM can be dropping the “experimental” tag—an indication it’s not headed in direction of the perpetual Google graveyard of deserted software program, or not less than for now. Martin says this label was eliminated for the reason that workforce hit inner milestones for total high quality, person retention, and interface requirements. She additionally says customers can now anticipate a better stage of stability from the software program.

The way to 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 may be something from recordsdata in your laptop to YouTube hyperlinks.

Subsequent, once 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 take into account what sections of the sources you’d like highlighted, bigger matters you need additional explored, or totally different supposed audiences who you need the message to achieve.

One tip Martin shares for attempting out the brand new function is to generate the Audio Overview with out adjustments, and when you’re listening to this primary iteration, write down any burning questions you might have 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 huge 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 faculty English main, which I undoubtedly was, my first immediate adjustment was for the podcast dialogue to focus extra on themes of alienation and overbearing bureaucracy discovered within the e-book. 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 faculty school rooms. It was a bit meandering, however completely listenable.



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