The era of passive scrolling on LinkedIn is over. Initiatives like the "Get @Unstop_World on @LinkedIn" challenge are the perfect catalyst to stop lurking and start building a lasting brand.
unstop.com/competitions/crp-…
Key takeaway: Don't just build a network of connections; build a library of your insights. Your unique perspective is your strongest asset.
What is the #1 thing holding you back from posting your professional opinions? Let’s talk about it below. 👇
A couple of weeks ago, I had the privilege of mentoring at AI Day at the @Paytm office in Noida. The energy was incredible, but what truly stood out was the sheer quality of innovation - especially the projects being built with @cognee_ .
Seeing developers transform complex cognitive architectures into functional, real-world solutions was deeply inspiring. The developer ecosystem is building the future of intelligent applications right now.
What is your team currently using to solve memory and context constraints in your AI applications? Have you explored GraphRAG yet? Let’s discuss below!
Two weeks ago, I had the privilege of joining as a Mentor and Judge at the Build with Bharat hackathon at NIT Delhi, organized by @codeverse .
The scale was truly mind-blowing:
From 12,600 initial participants down to the Top 10 teams for the grand finale. 🧵👇
Key takeaway for leaders & founders:
The next wave of disruption won't just come from established tech giants. It will come from these young, resourceful builders who are hungry to solve real-world problems from the ground up.
Never underestimate student innovators.
Huge kudos to Codeverse and NIT Delhi for creating a platform that empowers the youth to build for the future. The energy was contagious, and the innovations were deeply inspiring.
If you want to see where tech is heading, look at what college students are building today.
A senior safety researcher just departed Anthropic with a stark message: AI labs are racing toward systems they may not be able to control.
Jacob Coxon (ex-Anthropic & OpenAI) cited a lax approach to safety, warning we are gambling with self-improving superintelligence. 🧵
When the architects of AI are the ones sounding the alarm, business leaders and policymakers must pay attention.
It raises an uncomfortable paradox: Can the institutions incentivized to build increasingly powerful models also be trusted to build the necessary safeguards?
Where do we draw the line between rapid innovation and risk management? Are voluntary safety frameworks within AI labs enough, or is it time for robust external oversight? Share your thoughts below. 👇