
Shriraj
12K posts

Shriraj
@vu3one
Interest in #Tech, #Observability, #FutureOfWork, #Economy, #WX
Mumbai,IN Katılım Temmuz 2009
66 Takip Edilen241 Takipçiler

@suyogvyawahare @K5PO sorry, not active on radio recently, but as per my understanding bulk of RFI in solar power setup is generated when there's DC - AC conversion, hi @grok can you comment on this ?
English
Shriraj retweetledi

Handheld radio, powered by Starlink...
L3Harris has unveiled the XL-300P, the first P25 land mobile radio with native 5G and satellite direct-to-device (D2D) connectivity.
It will support Starlink via T-Mobile's "T-Satellite" service, it guarantees first responders ultimate triple-layered redundancy (P25, cellular, satellite) so they never lose critical communications.

English
Shriraj retweetledi

Abandoning the thorium programme would be catastrophic for the nation's future, says Dr Anil Kakodkar, nuclear scientist and Member, AEC, Mumbai.
"Thorium is not an optional experiment; it is the backbone of long-term energy security."
ndtv.com/india-news/aba…
English
Shriraj retweetledi

Today ~90% of #Kokan is facing dry “#loo-type” heatwave, from #Vikramgad in north to #Kankavali in south #Konkan, with temps crossing 41°C across the interior belt.
But this rarely gets officially flagged because #IMD has almost no observatories in the interior Konkan.
Most IMD stations sit at 0–5 km from the coastline — #Dahanu, #Alibaug, #Mumbai, #Harne, #Ratnagiri & #Vengurla — constantly moderated by maritime winds.
So they report “hot & humid” conditions, with max temps around 34–36°C, below #heatwave criteria.
Reality is very different just 10–50 km inland, where dry continental heating dominates.
Example: #Badlapur touched ~42°C today which is +6°C above normal, clearly a severe heatwave signal for the Konkan hinterland.
Even within #Mumbai MMR, heatwave seen in Eastern suburbs from #Vikhroli to #Mulund, #Thane and mainland #NaviMumbai are already sizzling near 41°C, while coastal zones stay cooler due to sea breeze.
Classic Konkan #microclimate contrast.
#WeatherAnalysis #KonkanWeather #WeatherUpdate #March #heat #summer




Hiren Antani@HirenAntani
@meet_abhijit And eastern suburbs have no @Indiametdept observatory, only #Colaba and #SantaCruz data are considered as official data for #Mumbai बहुत नाइंसाफी है ये
English
Shriraj retweetledi

No point getting S26 Ultra. Brand new phone. Most of the apps are not even installed and see how rapidly battery falls down!
@SamsungIndia @UniverseIce



English
Shriraj retweetledi

Anthropic just published a 17-page report on AI's impact to jobs.
It's worth reading, but here are some of the key points made & my observations:
Key points:
1) The gap between what AI can do and what people are doing with it is massive. In Computer & Math jobs, AI could handle 94% of tasks. Actual usage is 33%.
2) This isn't coming for factory workers first. The most exposed workers are older, more educated, and higher-paid, earning 47% more than unexposed workers. AI is aimed squarely at white-collar knowledge work.
3) No mass unemployment yet. Zero systematic increase in unemployment for highly-exposed workers since ChatGPT launched. But...
4) Young workers are already getting squeezed. Job finding rates for 22-25 year olds entering high-exposure jobs dropped ~14%. The labor market isn't contracting from the top. Tt's narrowing from the bottom.
5) 30% of workers have literally zero AI exposure. And 97% of actual AI usage falls within what's already theoretically possible. People aren't pushing boundaries of the technology.
6) Most at-risk roles: Computer Programmers lead at 75% coverage, followed by Customer Service Reps, Data Entry Keyers (67%), and Financial Analysts.
7) Least at-risk roles: Cooks, Motorcycle Mechanics, Lifeguards, Bartenders, Dishwashers, Dressing Room Attendants. Jobs where your hands, your body, or your physical presence is the work.
My observations:
1) The gap between theoretical and actual AI usage isn't a technology problem. It's a knowledge and process problem.
Most people play with a tool for 30 minutes, don't get the output they expect, and decide the technology is dumb and broken. The person is broken, not the technology. You wouldn't hand an intern a laptop on day one and expect killer output with zero onboarding. But that's exactly what people do with AI.
2) Junior workers are getting hit first because the cost of failure is lowest.
Companies will trust AI for scheduling, meeting prep, and basic engineering work before they'll trust it for strategic decisions. No exec wants to be the schmuck who trusted a hallucinating model and bombed their board meeting. So the work that gets automated first is the work that juniors/offshore talent used to do.
3) The calm before the storm is real.
I believe double-digit percentages of white-collar workers will end up displaced. The only reason we aren't seeing it yet is because most companies haven't done the hard work. Rethinking org design from first principles, mapping every key process, building the infrastructure to actually run leaner.
They can't confidently say "if we let go of 20% of our people today, would the business still run?"
But this is a knowledge and process issue, not a technology issue. And it will be figured out. because you'll be competitively disadvantaged if you don't.
4) There's a great irony happening before us.
Most humans behave like robots. Follow marching orders. Forget to reflect. Don't improvise. Wait for instructions.
Meanwhile, robots are behaving more like humans. Generative. Deep thinking. Context-aware. Making adjustments as needed.
5) You need to automate yourself out of your job.
Seriously. If you succeed, you've AI-proofed yourself.
- You become the person who orchestrates the work, not the person the work replaces.
- And you become the shining star in your company — the person leadership looks to and asks "how do we replicate what you've done across every role?"
6) This sounds scary, but new roles will be created.
As with every technology paradigm, job destruction begets job creation. AI is different and has its own shape, but there will absolutely be new roles available to those who stay on the frontier. Now, the question to debate is how many new roles & do they offset lost roles.
But I can imagine roles focused on orchestration, judgement, and adoption becoming more and more prevalent:
- AI Process Architect
- Agent Operations Manager
- AI Quality Assurance/Output Auditor
- AI Onboarding Specialist
- Decision Architect
- AI Ethics & Risk Officer
- Synthetic Media Producer
- Knowledge Curator
English
Shriraj retweetledi

BlackRock Shares Tumble Over 7% After Firm Limits Withdrawals From Private Credit Fund
go.forbes.com/xyMKo6

English
Shriraj retweetledi

Reuters reports that an object struck an AWS data center in the UAE, causing a fire and shutting it down. Assuming this was an Iranian drone strike, it is the first time a commercial data center was physically targeted in a conflict. It won’t be the last.
reuters.com/world/middle-e…
English

We had overestimated the value of “human relationships”. Turns out that a lot of what people called relationships was simply friction with a friendly face. #AI
ᴅᴀɴɪᴇʟ ᴍɪᴇssʟᴇʀ 🛡️@DanielMiessler
This is what's coming. Been saying it for years now, but this is brilliantly written. Send it to everyone who thinks things are same-ol-same-ol citriniresearch.com/p/2028gic
English
Shriraj retweetledi

Overheat can burn #AI alive and its supporting infrastructure. #KillSwitch
English

NVIDIA Launches Earth-2 Family of Open Models — the World’s First Fully Open, Accelerated Set of Models and Tools for AI Weather #WX blogs.nvidia.com/blog/nvidia-ea…
English
Shriraj retweetledi







