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Editorial Director, NotebookLM and Google Labs. Author of 14 books. Latest: The Infernal Machine. Speech inquiries email: wesn at leighbureau dot com

378 following1M followers

The Thought Leader

Meet Steven Johnson, the Editorial Director of NotebookLM and Google Labs, and a prolific author with 14 books under his belt, including the latest, 'The Infernal Machine.' With a knack for insightful analysis and innovative ideas, Steven engages in deep discussions about AI, education, and the future of digital interfaces.

Impressions
7.5M-1.1M
$1416.43
Likes
76631
18%
Retweets
3k-700
72%
Replies
44-3
1%
Bookmarks
354-26
8%

Steven, your tweets are like a well-researched essay just waiting to be graded—impressive, but I can't help but wonder if anyone's actually reading them after the first paragraph!

One of Steven's biggest wins has been the successful integration of AI tools in education through NotebookLM, changing the way students interact with learning materials.

Steven's life purpose revolves around pushing the boundaries of technology to enhance learning and communication, empowering others to harness the true potential of AI in their daily lives.

Steven values knowledge-sharing, innovation, and collaboration, believing that technology should serve to make education more accessible and engaging for everyone.

Steven's strengths lie in his ability to communicate complex ideas clearly, his extensive knowledge of AI applications, and his talent for creating engaging content that resonates with a wide audience.

One potential weakness is that Steven's in-depth focus on technology and analysis might sometimes alienate those who prefer lighter, more casual discussions.

To grow his audience on X, Steven should consider injecting a bit more personality into his tweets, perhaps by sharing more personal anecdotes or behind-the-scenes looks at his projects, making him more relatable to his followers.

Fun fact: Steven has a collection of 8,000 quotes stored in one single notebook—where do you even find time to read that much?

Top tweets of Steven Johnson

Thanks @karpathy! We are loving your NotebookLM enthusiasm. We’re just getting started pushing the boundaries of AI user interfaces. So many cool things to build…

354k

Using NotebookLM to remember everything you've read. On Hard Fork I talked about my collection of 8K quotes. I have them in a single notebook which effectively gives me a personalized AI grounded in the most important ideas I've read. Here's how to build your own version... A lot of folks have asked how I get 8,000 quotes into a single notebook, when currently notebooks are limited to only 50 sources. The key thing is that each source can have up to 500,000 words in it, so if you can compile your quotes into giant documents, you can easily fit a quote collection of that size into a single notebook. (You could almost have 80,000 quotes in fact!) 1. Use e-readers to highlight passages in books you read. 2. Use the amazing service @ReadWise to collect and organize all your quotations in one place. (They can be web clippings as well.) 3. When you have your quotes imported into ReadWise, choose the ones you want to add to a notebook (or select them all) and use Readwise's Export to Docs feature, which will format each quote so that it works brilliantly inside of NotebookLM. (Author, title, and page number will be attached to each quote.) 4. Once those docs have been created, add them all as sources to your "reading history" notebook Once you have those sources loaded, you can ask questions, brainstorm, explore new ideas -- all with an AI that has effectively read everything significant that you've read. And of course, you can always click on citations to jump back directly to the original quotes themselves. In this thread I've posted a few screengrabs of the range of queries you can use in a notebook stocked with your reading history... youtu.be/VyQox7MMjG8?si…

253k

Much appreciated from the NotebookLM team @sama! Full circle in a way because it was my writing about GPT-3 that brought me to Google in the first place.

140k

How to Prompt NotebookLM's Interests One thing we hear constantly from users first experiencing Audio Overviews is how good the hosts are at uncovering the interesting bits from their sources. You can elicit that same interest-driven summarization in text chat too. Here's how: The Gemini models are amazingly deft at exploring large bodies of text and imagery to find specific sections that are high in surprise, high in unexpected information. You can call that just another incremental improvement on search and summarization if you want—to me it seems like a bigger deal than that—but either way, it lets you get answers to questions that no computer in the world could have produced just a year ago. When I'm trying to get my bearings with a few new documents that I think I need to understand, I'll load them into Notebook and ask a variation on: What are the most surprising or interesting pieces of information or narratives in these sources? And I'll maybe give it a gentle steer: Please focus on the NASA astronauts of the 1960s, not the later ones. And I'll tell it to include key quotes. In 30 seconds or less I'll have an enormously useful text document highlighting the most interesting and compelling passages in my sources. You can get most of this in NotebookLM right now, just by choosing to convert your sources into a Briefing Doc in the Notebook Guide panel. (And obviously, if you want to listen to this information in conversation form, Audio Overviews has you covered.) Both Briefing Doc and Audio Overviews are designed explicitly to surface interesting material. But you can get more clever and more personalized with it just by tweaking your prompts slightly. Here's one one example. I uploaded something like 500K words of transcripts from the NASA oral history project, covering the entire span of NASA from Gemini (the other one) to Apollo and all the way to the Space Shuttle. And then I asked NotebookLM: I'm interested in writing something about the Apollo 1 fire. What are the most surprising facts or ideas related to the fire discussed in these transcripts. Include key quotes. Take a look at the answer that NotebookLM generated in 20 seconds or so. How long would it have taken me to assemble this document manually, sifting through effectively five books worth of transcripts? 10 hours? You can't command-F for "interesting things."

69k

Ben Cohen on NotebookLM's audio overviews in @WSJ: "There have only been two times when I had my mind blown by AI. The first was ChatGPT. This was the second... One of the most compelling and completely flabbergasting demonstrations of AI’s potential yet” wsj.com/tech/ai/google…

66k

New feature now live at NotebookLM.google.com: "Convert notes to source." • Focus the AI on your sources and notes at the same time • Follow inline citations directly to relevant passages from your notes • Generate Audio Overviews based on your notes You'll see this feature at the top of the screen in an open notebook, right next to "Add note." By default it will give you the option to convert all of your notes into a single source. But you can also select notes manually and convert them to a source as well. Whichever option you choose, it will combine your notes into a single source, with each note separated by a divider, and it will give the source a name like "All notes 10/18/24." It's also an easy way to back up all your notes -- just select all the text in your "All notes" source and paste into an another app. FYI, any notes that you have converted to a source will not auto-update if you change the original note text. (I have basically gotten into the routine of combining all my notes into a source once a week, and then deleting the earlier compilation.) The previous mechanism for focusing the AI on your notes (by selecting notes and then using the chat) may continue to work for the next few weeks, but we are going to stop supporting that approach soon when we roll out some exciting new UI elements. More soon on that front...

32k

Most engaged tweets of Steven Johnson

Thanks @karpathy! We are loving your NotebookLM enthusiasm. We’re just getting started pushing the boundaries of AI user interfaces. So many cool things to build…

354k

Using NotebookLM to remember everything you've read. On Hard Fork I talked about my collection of 8K quotes. I have them in a single notebook which effectively gives me a personalized AI grounded in the most important ideas I've read. Here's how to build your own version... A lot of folks have asked how I get 8,000 quotes into a single notebook, when currently notebooks are limited to only 50 sources. The key thing is that each source can have up to 500,000 words in it, so if you can compile your quotes into giant documents, you can easily fit a quote collection of that size into a single notebook. (You could almost have 80,000 quotes in fact!) 1. Use e-readers to highlight passages in books you read. 2. Use the amazing service @ReadWise to collect and organize all your quotations in one place. (They can be web clippings as well.) 3. When you have your quotes imported into ReadWise, choose the ones you want to add to a notebook (or select them all) and use Readwise's Export to Docs feature, which will format each quote so that it works brilliantly inside of NotebookLM. (Author, title, and page number will be attached to each quote.) 4. Once those docs have been created, add them all as sources to your "reading history" notebook Once you have those sources loaded, you can ask questions, brainstorm, explore new ideas -- all with an AI that has effectively read everything significant that you've read. And of course, you can always click on citations to jump back directly to the original quotes themselves. In this thread I've posted a few screengrabs of the range of queries you can use in a notebook stocked with your reading history... youtu.be/VyQox7MMjG8?si…

253k

Tomorrow @raiza_abubakar and I are going to be interviewed on the @GoogleDeepmind podcast, discussing all things NotebookLM. Any requests for what we should cover in the conversation?

8k

How to Prompt NotebookLM's Interests One thing we hear constantly from users first experiencing Audio Overviews is how good the hosts are at uncovering the interesting bits from their sources. You can elicit that same interest-driven summarization in text chat too. Here's how: The Gemini models are amazingly deft at exploring large bodies of text and imagery to find specific sections that are high in surprise, high in unexpected information. You can call that just another incremental improvement on search and summarization if you want—to me it seems like a bigger deal than that—but either way, it lets you get answers to questions that no computer in the world could have produced just a year ago. When I'm trying to get my bearings with a few new documents that I think I need to understand, I'll load them into Notebook and ask a variation on: What are the most surprising or interesting pieces of information or narratives in these sources? And I'll maybe give it a gentle steer: Please focus on the NASA astronauts of the 1960s, not the later ones. And I'll tell it to include key quotes. In 30 seconds or less I'll have an enormously useful text document highlighting the most interesting and compelling passages in my sources. You can get most of this in NotebookLM right now, just by choosing to convert your sources into a Briefing Doc in the Notebook Guide panel. (And obviously, if you want to listen to this information in conversation form, Audio Overviews has you covered.) Both Briefing Doc and Audio Overviews are designed explicitly to surface interesting material. But you can get more clever and more personalized with it just by tweaking your prompts slightly. Here's one one example. I uploaded something like 500K words of transcripts from the NASA oral history project, covering the entire span of NASA from Gemini (the other one) to Apollo and all the way to the Space Shuttle. And then I asked NotebookLM: I'm interested in writing something about the Apollo 1 fire. What are the most surprising facts or ideas related to the fire discussed in these transcripts. Include key quotes. Take a look at the answer that NotebookLM generated in 20 seconds or so. How long would it have taken me to assemble this document manually, sifting through effectively five books worth of transcripts? 10 hours? You can't command-F for "interesting things."

69k

Ben Cohen on NotebookLM's audio overviews in @WSJ: "There have only been two times when I had my mind blown by AI. The first was ChatGPT. This was the second... One of the most compelling and completely flabbergasting demonstrations of AI’s potential yet” wsj.com/tech/ai/google…

66k

Much appreciated from the NotebookLM team @sama! Full circle in a way because it was my writing about GPT-3 that brought me to Google in the first place.

140k

New feature now live at NotebookLM.google.com: "Convert notes to source." • Focus the AI on your sources and notes at the same time • Follow inline citations directly to relevant passages from your notes • Generate Audio Overviews based on your notes You'll see this feature at the top of the screen in an open notebook, right next to "Add note." By default it will give you the option to convert all of your notes into a single source. But you can also select notes manually and convert them to a source as well. Whichever option you choose, it will combine your notes into a single source, with each note separated by a divider, and it will give the source a name like "All notes 10/18/24." It's also an easy way to back up all your notes -- just select all the text in your "All notes" source and paste into an another app. FYI, any notes that you have converted to a source will not auto-update if you change the original note text. (I have basically gotten into the routine of combining all my notes into a source once a week, and then deleting the earlier compilation.) The previous mechanism for focusing the AI on your notes (by selecting notes and then using the chat) may continue to work for the next few weeks, but we are going to stop supporting that approach soon when we roll out some exciting new UI elements. More soon on that front...

32k

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