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- Who’s watching? Gemini peeks into your apps
Who’s watching? Gemini peeks into your apps
Also learn how to use Twelve Labs to search specific moments inside videos with AI

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Hey there! Shinky here, making AI simple, useful, and powerful for you.
Jack Dorsey, the maverick behind Twitter and Block, is back with BitChat - a bold, Bluetooth-powered messaging app designed to work entirely off the grid. Imagine swapping messages with friends nearby without a SIM card or Wi-Fi just pure peer-to-peer freedom.
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Today’s AI Menu
▪️ ChatGPT ‘Study Together’, Google AI mode, Musk’s Grok upgrade, Meta snags Apple’s AI chief & more
▪️ Tutorial: How to use Twelve Labs to search specific moments inside videos with AI?
▪️ 5 new AI tools to boost your productivity
▪️ AI Special Edition: Smarter AI, cheaper bills - Meet the Router
▪️ AI Daily Prompt
TODAY IN WORLD OF AI
🧑💻ChatGPT’s “Study Together” AI meets community learning

Image Credits: Malte Mueller / Getty Images
“Learning alone is hard. AI may just fix that with company.”
OpenAI is quietly testing “Study Together”, a new ChatGPT feature that hints at collaborative, AI-powered co-learning spaces.
It’s still under wraps but early signs suggest users might soon tap ChatGPT not just for solo queries, but to study together with peers, guided by AI. Think study groups, project rooms, or even co-working pods where ChatGPT helps explain, fact-check, or facilitate.
Why this matters for startups and educators?
1️⃣ The next wave of EdTech will be social + smart. AI tutors are old news but AI moderators for real-time group learning? That’s new.
2️⃣ Community is a moat. Information is everywhere; trusted learning circles aren’t. Combining AI’s scale with human accountability could reduce drop-off rates for online learning.
3️⃣ From solo prompts to shared prompts. Prompt engineering won’t just be personal, it’ll be collaborative. Expect new micro-markets for co-learning templates, peer accountability tools, and AI-moderated classes.
THE AI INSTITUTE
How to use Twelve Labs to search specific moments inside videos with AI?

▪️ Go to twelvelabs.io and create an account.
▪️ Upload a video or connect your video source.
▪️ Type what you're looking for (e.g., “person running with a red bag”).
▪️ AI scans and finds exact moments across your video library.
▪️ Preview and use the time-stamped results.
FOOD FOR PRODUCTIVITY
5 tools for your productivity
📋Supernormal: Automatically generates meeting notes and summaries from Zoom/Meet calls.
📌Kuki Chatbot: Conversational AI with personality used for social engagement and entertainment.
📈Dashworks: AI-powered internal search assistant for teams, connected to all your tools.
🧾DocuAsk: Ask questions directly to any uploaded document and get instant AI responses.
🧙AskNotion: Turn your Notion workspace into a searchable chatbot.
Tool Video of the Day!
EVERYTHING ELSE YOU NEED TO KNOW

🗣️Leap: Google’s rolling out a dedicated AI Mode in India, bringing smarter voice controls, real-time language translation, and AI-powered help right into everyday Android use. It’s a major push to weave AI deeper into daily life for millions.
🧠Maverick: Elon Musk’s xAI just turbocharged Grok, its ChatGPT rival, to be even more politically incorrect. Love it or loathe it, Grok’s unfiltered style is designed to push boundaries and maybe buttons.
🕵️Intrude: A quiet tweak in Android now let’s Gemini, Google’s AI assistant, peek into your third-party apps unless you dive into settings to stop it. Convenience or overreach? This subtle shift raises big questions about privacy in an AI-driven phone.
🤖Poach: In a bold talent raid, Meta has snapped up Apple’s top AI model chief to supercharge its Superintelligence team hinting more high-profile defections may be brewing. Silicon Valley’s AI talent war just got hotter.
AI SPECIAL EDITION
🚦A $1.5B Router Model: Smarter AI, Cheaper Ops

Image credit: VentureBeat with ChatGPT
“93% accuracy without burning millions retraining every week.”
A new $1.5 billion Router Model that routes tasks between smaller AI models with 93% accuracy without constant costly retraining.
Why does this matter? Because right now, big AI models are power-hungry money pits. Retraining a giant LLM every time new data drops eats compute budgets alive. But this “router” sits like a traffic cop deciding which specialist model handles which query, on the fly.
Big implications for startups building AI-first products:
1️⃣ Cheaper, smarter, greener. Better routing means your AI infra bill drops good news for lean teams and sustainability goals alike.
2️⃣ No more all-or-nothing. You don’t need a single mega model to do everything plug in specialists, route wisely, scale flexibly.
3️⃣ Faster iteration. Spend less time retraining, more time shipping. Updates become modular, not monolithic.
The next era of AI won’t be about “bigger” alone but smarter orchestration of many models, tuned for purpose and cost.
AI PROMPT OF THE DAY
Prompt for forecasting operating expenses for a tech startup
Prompt: Create a forecast for operating expenses for a tech startup, covering the next 12–24 months. Include typical cost categories such as salaries, software subscriptions, cloud services, marketing, R&D, office expenses, and legal or compliance costs. Provide a breakdown by month or quarter, assumptions for growth or scaling, and tips for keeping expenses realistic and flexible as the startup grows.
Helpful? Check out our best AI prompts!
Thanks for reading.
Until tomorrow!
Shinky & the Hanoomaan AI team
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