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praneet

@praneeeeeeet

Peace comes after detachment. BR-JH-KA

Katılım Şubat 2022
404 Takip Edilen42 Takipçiler
praneet
praneet@praneeeeeeet·
@vikramgrawol @goodreads What a memory, still vividly the first question, "A motorboat moves downdtream, passes a raft....."
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Goodreads
Goodreads@goodreads·
Which book made you laugh out loud?
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Bookworm Bookstore, Blr
Bookworm Bookstore, Blr@bookworm_Kris·
A message to all our esteemed patrons and well wishers from Krishna.
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praneet
praneet@praneeeeeeet·
Bengaluru right now
praneet tweet media
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Ramachandra Guha
Ramachandra Guha@Ram_Guha·
I visited the iconic Bengaluru bookstore @bookworm_Kris this morning, days after its stock had been damaged by water seepage. I found its wonderful owner Krishna Gowda stoic and resolute. Good to see customers flocking in. I bought some books too.
Ramachandra Guha tweet mediaRamachandra Guha tweet media
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praneet
praneet@praneeeeeeet·
@vikramgrawol Bas chote mote actoron ko dekh kar..
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بحر 🌊
بحر 🌊@Butterflless·
بحر 🌊 tweet media
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praneet
praneet@praneeeeeeet·
@Gurhi_jalebi Good for you. It would've been peak entertainment if Manav Kaul fans ended up in tears in the thread
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praneet
praneet@praneeeeeeet·
@tds122 Tony bhai, stokes in excitement of retaining the job, wrote f*****g 3 times that is greater than the grand total of test matches won under his captaincy in India and Australia combined. Lad must go
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Tony Steele
Tony Steele@tds122·
It's a real shame the English cricket loving public can't vote on whether people keep their job after 4 years of failure . These two goons would be long gone !
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mason
mason@onehandpolitics·
This country isn’t real man 😭
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praneet
praneet@praneeeeeeet·
@namma_vjy Vijay, it's absolutely sunny today, will this increase the chances of a late night TS, don't see a TS happening early in the evening like the last two days in the city?
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Namma Karnataka Weather
Namma Karnataka Weather@namma_vjy·
The current steering from NW and West should benefit NITN big time. Krishnagiri , Dharmapuri, Vaniambadi , Shoolagiri, Ambur, Vellore, Salem and Chittoor can see some strong TS events. Many a times, we have ended up providing updraft to NITN with this steering. #BengaluruRains #TNRains #KarnatakaRains
Namma Karnataka Weather tweet media
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andrew chen
andrew chen@andrewchen·
in a world of agents, the product role is going to split into two jobs: - one that organizes humans (stakeholders, design, eng) - one that organizes agents (prompts, evals, workflows, etc) Both will be in pursuit of offering the right products to customers, but how you get there will dramatically change. What happens to the typical product rituals? Instead of PRDs, OKRs, standups, product reviews, we'll need the equivalent for agents. Couple wild ideas here... instead of standups: the equivalent is that agents will report back to us based on run logs and anomaly flags. no one needs to say what they did yesterday, the system already did thousands of things. the question is where it broke, where it surprised you, and where it got better. Show us the patterns, the trends, the edge cases - particularly the ones the agents didn't fix automatically. the daily ritual becomes reviewing deltas, scanning failures, and deciding which ones matter. less reporting, more triage instead of OKRs: we’ll need adversarial agents that continuously monitor/grade the system and detect patterns, scoring outcomes on an hourly or daily basis. Rather than setting a quarterly goal of "increase X by 5%" and revisiting slowly -- instead, management will be able to monitor success in real-time and detect trends/patterns towards overall goals instead of PRDs: we won't need waterfall. Prototyping will rule the day, and we’ll need a living agentic loop that mediates customer feedback/ratings and what's being prioritized and built. you don’t hand it to eng, you deploy it into the agent loop. if it’s wrong, it fails visibly and you can revert. if it’s right, it produces the right output instead of product reviews: we'll need simulation systems to examine agent behavior in different scenarios. In an agentic world where UI shifts from buttons/menus to agents automatically doing things, you'll want to examine their behavior before you deploy. You rewind decisions, fork alternate paths, and see how different prompts or constraints would have changed outcomes. the review becomes interactive. less storytelling, more counterfactuals. The PM sits in the middle of this split. On the human side, still aligning taste, risk tolerance, and strategy across people. On the agent side, shaping the actual behavior of the system through prompts, evals, and feedback loops. one side is persuasion. The other is instrumentation. the best ones will collapse the gap, translating intent directly into systems that act on it. the fascinating part is that the agentic loop will run 10000x faster than the human one, and of course, you can "hire" them faster. Thus the “organizing humans” half starts to feel slow and lower impact unless it directly improves the agent loop. Eventually the PM will shift towards agents and maybe ignore the human coordination altogether...
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