Times are such when words such as trust, integrity, righteousness have completely lost the purpose. Any person, carrying this load is assumed to be of no use in the lifecycle of societal framework where people may say, बंदा प्रैक्टिकल नहीं है. Tough for insaniyat to survive!
Vacation time after a long Pause. 🥳🥳
Winding down with your family & friends, nothing better than this, amidst chaos that surrounds you! Sometimes break isn't equal to a resting body, but mindfulness with intentional push for togetherness.
@DealsDhamaka Celebrating parents is the happiest you can be and this brings peace, contentment and this has meditative effect in one's life in many ways that cannot be put in words. So Celebrate ! 💐💐🙏
INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years.
Bookmark it and give it an hour, no matter what.
The SDLC isn’t dead. It’s abstracted.
Toil is receding. Strategic work is surfacing.
Mandate for eng leaders: Rearchitect around human judgment, not human typing.
Teams that adapt ship 10x faster. Others will optimize a process that no longer exists. How’s your team adapting ?
3. Team structures compress. AI collapses handoffs between PM/Design/Eng/QA. One engineer can own what took a pod before. Edge = context + autonomy, not headcount.
4. Leaders shift from managing velocity to managing guardrails. Key Q: “Can we verify what AI produced?”
Gemini 3 has a capability most people don't even know exists.
it's not the 1M tokens.
it's not the multimodal processing.
it's something else entirely.
And it's the reason I built 3,000+ prompts specifically for Gemini 3.
Everyone talks about Gemini's specs:
→ 1 million token context
→ Native multimodal inputs
→ Deep Think mode
→ Agentic workflows
But they're missing what happens when you combine these features.
The secret is persistent systems thinking.
Gemini 3 doesn't just process large contexts.
It maintains coherent reasoning ACROSS those contexts while simultaneously:
- Analyzing images
- Reading documents
- Planning multi-step workflows
- Adapting based on previous outputs
This creates emergent capabilities that don't exist in other models.
I built 3,000+ prompts that exploit this.
Each prompt is built around this core insight:
Gemini 3's real power isn't WHAT it can process.
It's HOW it connects everything together.
The library includes:
✓ 3,000+ production-ready prompts
✓ Organized by difficulty (beginner → advanced)
✓ Real use cases for each prompt
Like, RT + reply "GEMINI" and I'll DM you the guide.
(Must be following so I can DM)
Skip this and keep wondering why your Gemini results feel the same as ChatGPT.
Or grab the library and start using the capability everyone's missing.
Urban flooding and associated disruptions in cities like Delhi, Mumbai, Gurugram, Bengaluru, Chennai, Surat, Pune, Hyderabad, and Nagpur are recurrent issues during the monsoon. These events lead to waterlogging, traffic paralysis, infrastructure damage, and economic losses.
Governance and Capacity Gaps: Weak urban local bodies (ULBs) lack financial resources, expertise, and flood risk mapping for proactive planning. Ad-hoc infrastructure development and centralized decision-making ignore local needs.
There is a vast Bharat that is not obsessed about prestigious credentials, not obsessed about speaking perfect English, not obsessed about enrolling 11 year old kids (yes!) in JEE or NEET coaching and not obsessed about the stock market - it is talent from that Bharat that has the latent creative energy for our national development. That very much includes hard scientific and technical talent.
I am so convinced of this proposition that I am dedicating my energy to finding and nurturing that talent.