In partnership with
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BUILDER HUSTLE
AI · TECH · STARTUPS
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In This Issue
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🎥 NotebookLM Turns Sources Into 60-Second Vertical Videos
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🧩 Gamma Slides Now Work Inside ChatGPT
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🔬 Anthropic’s Claude Science Targets Research Workflows
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⚡ Google’s Nano Banana 2 Lite Is Fast, Cheap and Built for Scale
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🎥 NOTEBOOKLM · SHORT VIDEO OVERVIEWS · EDUCATION
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NotebookLM Now Turns Long Sources Into 60-Second Vertical Videos.
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NotebookLM’s new Short Video Overviews feature takes documents, notes, textbooks, and links and turns them into vertical 60-second educational videos. The idea is to make complex topics easier to absorb quickly, almost like a study-first version of short-form social video. Google is rolling it out to AI Ultra and Pro users on mobile and web first, with free users expected later. For students and knowledge workers, it is a neat example of product design borrowing the best parts of TikTok without the useless parts of TikTok.
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📌 The videos are built from your own sources, so the format is short-form, but the content is still anchored in actual notes and documents.
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⚡ Rolling out to Pro and Ultra first suggests Google sees this as a premium learning feature before it becomes a mass-market one.
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See NotebookLM Video Overviews →
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🧩 GAMMA · CHATGPT · PRESENTATIONS
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Gamma Is Now Built Directly Into ChatGPT Chats.
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Gamma’s new integration inside ChatGPT lets you generate and refine presentations without leaving the conversation. You can brainstorm in ChatGPT, ask for an outline, then turn that output into a polished deck inside Gamma and keep editing from there. It is a surprisingly smooth workflow for technical reports, marketing briefs, exec summaries, or quick pitch decks because it removes the usual copy-paste shuffle between tools. For people who make slides often, this is less a gimmick and more a practical shortcut.
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📌 The value here is workflow compression: one conversation can now produce both the thinking and the final slide structure.
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⚡ It is especially useful for teams that already draft ideas in ChatGPT and just need a faster path to something presentable.
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Open Gamma →
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Scale AI support on AWS, see how July 9
Customer expectations keep rising. Support budgets don't. On July 9, Fin and AWS are hosting a live executive session on how leading enterprises close that gap: scaling AI-powered support while simplifying how they buy it.
You'll see how to resolve an average 76% of conversations with Fin on AWS enterprise-grade infrastructure, procure through AWS Marketplace to put committed cloud spend to work, and turn the Fin and AWS collaboration into lower support costs. Register for the live session to see how.
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🔬 ANTHROPIC · CLAUDE SCIENCE · RESEARCH
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Anthropic’s Claude Science Is Built for Serious Research Work.
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Claude Science is Anthropic’s new research-focused app for scientists and technical teams. It combines code tracing, on-demand compute environments, and access to more than 60 optional scientific databases inside one workspace. That means researchers can analyse literature, run computations, create figures, and trace outputs back to the exact code and environment that produced them.
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📌 Tracing artifacts back to source code and environment is a big deal for reproducibility, peer review, and internal auditability.
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⚡ The 60+ database integrations make it feel less like a chat app and more like a structured scientific workbench.
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🔭 If the product lands, it could become the default place where a lot of lightweight scientific exploration happens.
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Claude Science →
Announcement →
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⚡ GOOGLE AI STUDIO · NANO BANANA 2 LITE · IMAGE GEN
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Google’s Fastest Image Model Is Built for Volume, Not Drama.
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Nano Banana 2 Lite is Google’s new fast and low-cost Gemini image model, aimed squarely at high-volume workflows. It generates a 1K-resolution image in about four seconds and costs roughly $0.034 per image, which makes it attractive for ads, prototyping, bulk creative assets, and other use cases where speed and cost matter more than maximum polish. The model is available in Google AI Studio and the Gemini API, with rollout also extending to consumer surfaces.
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📌 Four-second generation changes the feedback loop for teams that need quick visual drafts rather than one perfect hero image.
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⚡ The price point makes it easy to imagine bulk use in marketing pipelines, creative testing, and internal design tooling.
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🔭 This is very much a throughput model: get more images faster, spend less, and worry about refinement later.
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Open Google AI Studio →
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