Been 5 days, still not a single call or any further steps on the resolution from the Amazon team, just been beaten around the bush for a month now.
@amazonIN @amazonIN @AmazonC28701966
True security is not the absence of fear, anxiety, or hope; it is the capacity to stay on your own side when those feelings show up.
So much of what we do is to mask and escape the loneliness we feel within. As if it was something to run away from in the first place… If only we were taught to embrace the low human emotions the same we do the high ones, there would be so much more freedom within and around.
Clarity is a consequence of physical action and strict boundaries, not something that magically "clicks" while you are scrolling.
Nvidia’s moat is easier to understand if you stop thinking in chips.
Jensen Huang frames the system as a transformation: electrons go in, valuable tokens come out. Nvidia sits in the middle, doing the part that is necessary and extraordinarily difficult.
That reframes the strategic question. Durable advantage may not come from owning every layer. It may come from owning the hardest indispensable layer while partners build the rest.
Which part of your stack is both essential and genuinely hard to replace?
#Nvidia #AIInfrastructure #Strategy #JensenHuang
Language AI answers questions
Physical AI builds worlds
That’s the split most people miss. LLMs handle language. NVIDIA’s Omniverse handles everything else—factories, robots, cities. Before anything is built, companies create a photorealistic digital twin to simulate it.
They test how robots move around people. How warehouses optimize inventory. How self-driving cars react. All without spending millions on real-world trials.
BMW, Mercedes-Benz, and Amazon Robotics are already doing this. It’s why NVIDIA is more than a chip company. They’re building the infrastructure where AI designs and optimizes the physical world before humans ever touch it.
If you're learning AI, watch this space. The next wave isn't just smarter chat. It's AI that engineers reality.
75% say AI makes them more productive. 52% say they've avoided it because supervising it feels too mentally draining. Companies measure AI adoption in hours saved. That's only half the ledger.
The hidden cost is cognitive load: explaining the task repeatedly, checking every detail, correcting confident mistakes, deciding what can be trusted, rebuilding context across tools. If AI creates more overhead than it removes, adoption stalls.
A 279-person study found venting to AI can boost your mood about as much as venting to a person who feels responsive.
But a separate study of 150 people found regular AI venting doesn't reduce loneliness or build real social support.
AI can be a release valve in the moment. It's not a substitute for the relationship that catches you long term. Use both. #Wellbeing
Avani Rajput retweeted
Anthropic's annualized revenue jumped from $9B to $30B+ this year. The number of clients paying $1M+ has doubled too, 500 to 1,000.
Anthropic's annualized revenue jumped from $9B to $30B+ this year. The number of clients paying $1M+ has doubled too, 500 to 1,000.
That is not hype cycle money. That is enterprises finding a repeatable use case and buying more of it.
If your company hasn't found its own repeatable AI use case yet, that gap is the opportunity. Look at what the $1M+ buyers are actually doing with it. #AIRevenue