Using spin could stem the run flow and keep NRR in place. ( Veer )
Always a key element spoken in the huddle during time outs, when the going is tough. #CSKVLSG
It can be flattening but to see ahead is the key.
While everyone was dancing and celebrating, the Player of the Tournament, Sanju Samson, was sitting alone in a corner, just watching everyone and smiling.
He didn’t run around, didn’t overcelebrate. Just calm, composed, and humble. Then Harsha Bhogle saab walked up to him. Sanju immediately stood up out of respect, spoke to him for a while, and sat back down again.
He looked relieved, but you could also sense that his mission isn’t finished yet. Humble… grounded… and still a long way to go for Sanju Samson with this attitude. ❤️
Not judging whether it’s good or bad, but among the current lot, Sanju Samson is one of the few cricketers who seems to carry the same on-field conduct and composure that players like Sachin, Dravid, VVS were known for.
Everyone’s missing the real story here.
Meta’s Ray-Ban glasses need human data annotators to train the AI. When you say “Hey Meta” and ask the glasses to analyze something, that video gets sent to Meta’s servers, then routed to Sama, a subcontractor in Nairobi, Kenya. Workers there manually label objects in your footage. They see everything you recorded, intentionally or not.
7 million pairs sold in 2025 alone. Every single pair generates training data that flows through human eyes in Kenya. Workers told Swedish journalists they see people undressing, using bathrooms, having sex, and accidentally filming bank card details. One worker said “we see everything, from living rooms to naked bodies.”
Meta’s automatic face anonymization is supposed to protect people in the footage. Workers say it fails in certain lighting. Faces that should be blurred are sometimes fully visible. The person you recorded without knowing? A stranger in Nairobi can identify them.
Buried in Meta’s terms of service is one sentence doing enormous legal work: the company reserves the right to conduct “manual (human) review” of your AI interactions. That’s the legal cover for routing intimate footage from Western homes to a $2/hour labor force operating under NDAs, office surveillance cameras, and a strict no-questions policy. Workers say if you raise concerns about what you’re seeing, you’re fired.
This is the same company, Sama, that TIME exposed in 2023 for paying Kenyan workers $2/hour to label graphic content for OpenAI while being billed at $12.50/hour per worker. Workers described the experience as torture. Sama ended that contract, then pivoted to labeling Meta’s glasses footage. Same workforce. Same rates.
Meta markets these glasses as “designed with your privacy in mind.” The privacy design is a tiny LED light on the frame that most people don’t notice. The data pipeline behind it routes your bedroom footage to a contractor with a documented history of worker exploitation, failed anonymization, and union-busting lawsuits.
And the next generation of these glasses? Meta is planning to add facial recognition. The same system that can’t reliably blur faces in training data wants to start identifying them on purpose.
The LED light on the frame is doing about as much for your privacy as the terms of service nobody reads.
India #GDP: Why are markets not excited at 7.8% growth?
I explain why real GDP nos are flawed and why investors should only look at nominal growth of 8.8%.
English biz channels acknowledge India’s weak growth but Hindi biz channels continue to celebrate.
Why such ignorance?