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Good morning! Here's what's happening in AI today:
NVIDIA just pulled 20+ companies into an AI security alliance
Google's Gemma models are now playable in your browser, no install
How to turn YouTube research into reports with Claude Code + Gemini Notebook
4 new AI tools worth trying today
AI PRODUCTIVITY
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AI NEWS
NVIDIA announced the Open Secure AI Alliance, pulling in Adobe, Cisco, Microsoft, IBM, Cloudflare, Salesforce, SAP, Palantir, and over 20 other companies to build shared defenses for AI systems and agents.
The idea is simple: instead of every company building its own AI security stack in isolation, founding members pool research, tooling, and models into one shared pipeline. Adobe's design tools, Cisco's network security, and Palantir's data infrastructure all feed into the same effort, a wider spread of use cases than any single company's security team could test alone.
Nothing ships yet. This is a coalition forming, not a product launching – no download link, no new feature to open this morning. NVIDIA is betting the payoff shows up later, once shared standards start reaching the tools people actually use.
The list of names matters more than the announcement itself. When Microsoft, IBM, and Cloudflare all sign onto the same security framework, that's usually the early sign of where the industry's baseline is headed next.
Security tools built by one company only get tested against that company's blind spots. With Adobe, Cisco, Palantir, and 20+ others feeding into the same standard, the gaps get caught by people looking from completely different angles. That's the actual reason this approach works better than NVIDIA going it alone, and it's why the standard that comes out of it is likely to end up in tools you already use.
AI TOOL
Google Gemma launched WebGemma, a community-built playground that runs 10+ Gemma models directly in your browser through WebGPU, no install required.
Everything runs on-device. There's no server call sending your prompts anywhere, which matters if you've been hesitant to test open models because of where the data goes.
The build includes an interactive "Gemma Journey" timeline walking through every model release, so you can see how the lineup evolved before jumping into the playground to actually test one. This does both in one tab.
It removes the usual friction of testing open models entirely. No cloning a repo, no fighting dependency versions, no terminal at all, just a browser tab and a model to poke at.
Testing an open model has always required technical setup most people won't bother with. WebGemma removes that requirement entirely, which means access to real open models stops being a developer-only thing and starts being available to anyone with a browser.
HOW TO AI
Most people ask a question, get an answer, and stop there. No sources, nothing to double check. This guide fixes that for one case: researching a topic across YouTube without watching 20 videos yourself.
Claude Code scrapes the top videos on any topic, hands them to Gemini Notebook (Google's free research assistant, renamed from NotebookLM in July), and pulls back a report from a single prompt.
Step 1: Give Claude Code a Way to Search YouTube
Install one free tool, yt-dlp, then ask Claude Code to research your topic:
pip install yt-dlp
Research the top 10 YouTube videos from the last 6 months about
[your topic]. Pull back title, channel, views, and upload date
for each one.
Read the results before moving on. Wrong niche, spam channels, catch it here, not later.
Step 2: Connect Claude Code to Gemini Notebook
Gemini Notebook has no official way for other tools to talk to it. A developer named Teng Lin built an open-source package that solves that, called notebooklm-py.
pip install notebooklm-py
notebooklm login
One browser sign-in, and Claude Code stays connected after that.
Step 3: Load the Videos and Ask for a Deliverable
Create a new notebook in Gemini Notebook, add all 10 video URLs as
sources, then ask what the most recommended approach is across the
videos. Turn the answer into a one-page infographic.
Gemini Notebook does the actual reading, all 10 transcripts, and answers with citations back to specific videos. Claude Code just asks the question and formats what comes back.
Step 4: Compress It Into One Prompt
Once it works manually, one prompt does the whole thing next time:
Research the top 10 YouTube videos on [topic], load them into Gemini
Notebook, then generate an infographic summarizing the most common
recommendation.
Five minutes of setup once. After that, one prompt replaces an afternoon of open tabs.
That's the short version. The full guide walks through the exact terminal commands, the one-time login step in detail, and the 4 things that trip people up the first time. You can access the full guide here.
P.S. You can access all my prompts, workflows and AI trainings if you upgrade here
supermemory launched a company brain that lives in your Slack, learning how your team talks and works, with permission controls built in for larger teams. Setup takes two minutes.
Kimi Moonshot open-sourced FlashKDA, attention kernels delivering up to 2.22x faster prefill speeds.
tldraw shipped offline v1.12, cutting the app's download size in half while adding support for its pi agent.
📓 Notion: Kimi K3 is now a selectable model inside Notion, hosted through Fireworks.
🧭 Tabbit: v1.6 adds zoom support to mermaid charts with sharper rendering.
🖥️ Together AI: Kimi K3 is live now as a Day 0 launch partner model.
🍎 June: A private, persistent Mac assistant that remembers you over time, open source and MIT licensed.
THAT’S IT FOR TODAY
Thanks for making it to the end! I put my heart into every email I send, I hope you are enjoying it. Let me know your thoughts so I can make the next one even better!
See you tomorrow :)
- Dr. Alvaro Cintas
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