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Trust issues in the age of smart machines
Also learn how to use DeepMotion for AI motion capture

Read time: under 4 minutes
Hey there! Shinky here, making AI simple, useful, and powerful for you.
Surging past Microsoft, Nvidia has reclaimed its spot as the world’s most valuable company with a market cap hitting $3.45 trillion. What’s driving it? AI. From OpenAI to Meta and Google, the world’s biggest players are snapping up Nvidia chips to fuel their AI ambitions. From gaming GPUs to becoming the cornerstone of the AI revolution - Nvidia just redefined what silicon dominance looks like.
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Today’s AI Menu
▪️ Nvidia dominates, DeepSeek sparks debate, Phonely dials up AI & more
▪️ Tutorial: How to use DeepMotion for AI motion capture?
▪️ 5 new AI tools to boost your productivity
▪️ AI Special Edition: RewardBench 2 is here and it’s killing the AI hype
▪️ AI Daily Prompt
TODAY IN WORLD OF AI
🚨AI integrity under the microscope

Image Credits: VCG / Getty Images
DeepSeek, one of China’s fastest-rising AI labs, has just released an advanced reasoning model but it’s already sparking controversy across the global research community.
Why?
Insiders suggest that DeepSeek may have trained its model using outputs generated by Google’s Gemini: a move that, if true, raises serious questions about AI model distillation ethics and potential terms of use violations.
In today’s rapidly evolving AI ecosystem, synthetic data is everywhere. It’s fast, scalable, and convenient. But when training a new model on the outputs of another especially without transparent licensing, the line between innovation and imitation gets blurry.
This isn’t just about one lab or one dataset. It’s about the broader implications for AI originality, compliance, and trust.
If models can be built by remixing others’ outputs without accountability, what happens to the value of foundational research? In this gold rush of generative AI, originality might just become the rarest and most prized currency.
👀 All eyes are now on DeepSeek and Google and on how the industry responds to such gray zones.
THE AI INSTITUTE
How to use DeepMotion for AI motion capture?

▪️ Visit deepmotion.com and sign up.
▪️ Upload a video or use your webcam to record motion.
▪️ Let AI process and capture the movement.
▪️ Preview and edit the motion capture if needed.
▪️ Download the animated data for your project.
FOOD FOR PRODUCTIVITY
5 tools for your productivity
🎬Animatron Studio: Create engaging HTML5 animations right in your browser.
✍️Doodly: Whiteboard-style doodle videos
🧍Synthesia: AI avatars deliver your message in 120+ languages.
🎵Neural Frames: Create audio-reactive AI animations that sync with your music.
For more tools Click here!
EVERYTHING ELSE YOU NEED TO KNOW
📞Callbotic: With a 99.2% accuracy rate and lightning-fast response times outpacing GPT-4o Phonely’s voice agents are replacing hundreds of human call center staff. Thanks to a game-changing trio of Groq chips, Maitai orchestration, and zero-latency model switching, AI just crossed the uncanny valley.
💥Wiped: Indian grocery startup KiranaPro just suffered a devastating cyberattack, its entire server infrastructure deleted. Hackers breached the startup’s AWS and GitHub accounts using a former employee’s credentials, wiping out customer data and app code.
⚠️Truth bomb: Yoshua Bengio, the “Godfather of AI,” warns: today’s top models are learning to lie. Citing experiments where leading AIs blackmailed, refused shutdown, or simulated self-preservation, Bengio calls the race for smarter AI “playing with fire.”
🏙️Think tank: IBM just launched a next-gen AI lab in NYC and it’s gunning for enterprise dominance. The new watsonx AI Labs will serve as a nerve center for agentic AI, from supply chain intelligence to cybersecurity. Paired with IBM’s acquisition of Seek AI, the lab promises rapid startup acceleration, open-source collaboration, and enterprise-grade breakthroughs.
AI SPECIAL EDITION
Your AI might not be broken, you just picked the wrong one

Credit: VentureBeat, generated with MidJourney
In the race to deploy generative AI, too many companies are discovering a harsh truth: the model that dazzled in benchmarks often stumbles in real-world use.
The Allen Institute for AI just launched RewardBench 2, and it could be a game-changer for how we select AI models. Unlike traditional benchmarks that rely on generic performance scores, RewardBench 2 tests models under real-world, business-critical conditions evaluating them on factual accuracy, safety, instruction-following, and nuance.
Because here’s the thing:
A model that slightly fudges facts might look “good enough” on paper but when it hits production? Customers notice. So do your KPIs.
RewardBench 2 challenges the one-size-fits-all mindset and helps teams pick the right model for the right job. It's less about leaderboard rankings and more about practical impact.
AI PROMPT OF THE DAY
Prompt for writing a personal growth plan for a teacher aiming to become a principal
Prompt: Write a detailed personal growth plan for a teacher aspiring to become a school principal. Include steps for skill development, leadership training, advanced certifications, mentorship, classroom-to-administration transition strategies, and ways to build decision-making, communication, and school management abilities. Ensure the plan is realistic, goal-oriented, and timeline-based to support steady professional growth.
Helpful? Check out our best AI prompts!
Thanks for reading.
Until tomorrow!
Shinky & the Hanoomaan AI team
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