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‘SNL’ alum Cheri Oteri reveals breast cancer surgery as she name-drops surprising supporter
‘SNL’ alum Cheri Oteri reveals breast cancer surgery as she name-drops surprising supporter
India's Solar Demand Set For 22% Annual Growth Through 2035
Submitted by Tsvetana Paraskova of OilPrice.com
India’s solar capacity is set to surge by 22% each year by 2035 as the data center boom will drive increased power consumption, a new report by Nuvama showed on Monday.
The consultancy estimates that India’s total power demand will rise by 6% every year over the next decade, “driven by economic growth, rising urbanisation, manufacturing expansion and increasing electrification across sectors,” according to the report cited by Indian news outlet ANI.
Solar growth will vastly outpace overall power demand as power-intensive data centers will drive 22% compound annual growth rate (CAGR) in solar energy capacity from 2026 to 2035, the report found.
“Our base case suggests green hydrogen and data centre capacity shall add another 251GW solar capacity, while it is 406GW capacity in the bull case scenario,” Nuvama analysts said in the report.
“Given solar capacity expansion in our base case, the share of solar shall rise from 28% in FY26 to 61% by FY35 and to 65% in the bull case,” they added.
India expects to nearly quadruple its solar power capacity and triple wind power-generating assets within ten years, according to the new Generation Adequacy Plan published by the country’s Central Electricity Authority earlier this year.
India projects to have a total of 509 gigawatts (GW) of solar power capacity installed by the end of the 2035-2036 fiscal year, up from 140 GW installed solar PV capacity as of January 2026.
“The installed generation capacity projection in 2035-36 shows that the country is moving toward a strong transition to non-fossil energy. Renewable sources, especially solar PV, hydro, and wind, will dominate future capacity, supported by Energy Storage Systems,” according to the policy.
In 2025, India boasted that it was five years ahead of schedule when it achieved its target of having 50% of its installed electricity capacity coming from non-fossil fuel sources.
However, India's electricity grid is expanding at a slower pace than the boom in renewable energy installations, leading to an increased share of clean energy curtailments and threatening to slow the solar and wind boom in the world’s most populous country.
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How The World Added Decades To Life Expectancy
The average person today can expect to live far longer than someone born in 1960, regardless of where they live.
This chart, via Visual Capitalist's Bruno Venditti, tracks life expectancy at birth across four World Bank income groups. While high-income countries still have the longest lifespans, the biggest gains have come elsewhere. Upper-middle income countries have added more than three decades to life expectancy, while low-income countries have made substantial progress as well.
The data for this visualization comes from World Bank via FRED. It tracks life expectancy at birth by income group from 1960 to the latest available data (2024).
High-Income Countries Still LeadHigh-income countries still have the highest life expectancy, reaching 80.3 years in 2024.
That is up from 68.3 years in 1960, a gain of 12 years. These countries started from a much higher baseline, meaning their gains have been slower but still substantial.
Examples include the U.S., Germany, and Japan.
Upper-Middle Income Countries Saw the Fastest Gains
Upper-middle income countries posted the largest increase, rising from 41.9 years in 1960 to 76.3 years.
That is a gain of 34.4 years, the fastest improvement of any group in the dataset. This category includes countries such as China, Brazil, Mexico, and South Africa.
Much of this improvement coincided with rising incomes, better sanitation, expanded vaccination programs, lower child mortality, and broader access to healthcare. Together, these changes helped push life expectancy in many middle-income countries toward levels once seen only in the world’s wealthiest economies.
The Global Life Expectancy Gap Has NarrowedIn 1960, people in high-income countries lived about 27 years longer than those in low-income countries.
Today, the gap stands at roughly 16 years. While a significant difference remains, low-income countries have added more than 23 years to average life expectancy since 1960. In other words, much of the world’s longevity progress has come from countries that started furthest behind.
However, the remaining gap shows that income, healthcare access, and living conditions continue to shape longevity worldwide.
If you enjoyed today’s post, check out Ranked: Countries With the Most Ultra-Rich Residents in 2026 on Voronoi.
Tyler Durden Mon, 06/15/2026 - 19:40
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Domesticating AI - It's Not Coming, It's Already Here
Authored by Howard Armitage via New Atlas,
When my neighbor wanted a vision of what his fence could look like, I didn't hesitate to ask ChatGPT to create a mock-up. I took a photo of the fence and asked it to overlay a potted Jasmin espaliered to it, after a couple of tweaks, and all of about one minute later, it gave me this:
AI-generated mock-up created from the author’s original fence photographHoward Armitage
During a recent conversation with a diving buddy, he pulled out his phone mid conversation and said "Hey Grok, show me that dive computer we were talking about this morning." And yes, it's $580 worth of gorgeous.
Its translation abilities are spectacular, and occasionally hilarious. It really is the Babel fish. Not that long ago I moved to a bank simply because it supported Apple Pay years before the big players. At that time, paying with just the tap of a wrist always garnered astonishment and commentary. Around the same time, voice assistants started crossing the line from novelty to genuinely useful. Set a timer, make an appointment, play some music. Super!
"Alexa, turn the kitchen light on." Light comes on. "No, turn it off." "There is no device called 'it' to turn off." Oof!
No memory, no context.
Enter Nabu (yes I know, I haven't got round to changing the wakeword name yet). Naby knows it turned the kitchen light on, and knows I was referring to the kitchen light when I said "turn it off." It remembers, it has context, because it's not just a dumb voice assistant anymore, it is plumbed into my local AI.
The big commercial AI platforms can be connected to these systems, but running it locally means the data stays within the boundaries of my house. It won't process that mountain of documents or win that tricky legal case yet, but it can keep track of the state of my home and understand what I mean when I speak naturally.
That's a big deal - because now I don't have to write and memorize tiresome automations for rigid pre-programmed commands, I can converse with Nabu in human and it understands "all the lights" or "just the downstairs aircons."
Only five years ago, running an AI model at home was a ridiculous proposition - you'd need datacenter hardware and a tech-bro budget. Now, it's dramatically cheaper and easier - with consumer GPUs, mini PCs, Ollama and Hugging Face, technically curious people are quietly building surprisingly capable AI systems at home. The GPU that I can hold in my hands doesn't compete with a datacenter the size of several football fields - but for my homelab tinkerings, it's surprisingly capable, and is only becoming more so.
I should probably backtrack a little here - I'm enthusing about Home Assistant, which I've been running for about 12 years - originally on a Raspberry Pi, now in a VM on ProxmoxVE. Sensors and controllers are scattered all over the house, with a dashboard in a browser acting as mission control. Lights automated with timers and presence detectors. Sun elevation adjusts blinds, curtains react to sunrise and sunset, and moisture sensors trigger irrigation on demand. Solar and battery systems respond to dynamic electricity pricing, buying and selling power depending on what the grid is doing.
Home Assistant proclaimed 2023 to be the Year of the Voice and duly launched a prototype Voice Assistant. At launch, its capabilities were limited. Today, it is genuinely good at a variety of tasks, and it's all open source so you can build your own device from very inexpensive hardware, and the software is on GitHub.
Local models - Llama, Gemma, Mistral, Qwen - very much lag behind the giant commercial systems, but for experimentation, home automation, and general day-to-day interaction, they're becoming more and more usable. I personally care about data sovereignty (a huge topic in its own right), so running a local AI grants me a more privacy-conscious workflow, and it still works when the internet doesn't.
Quite how many months of commercial AI subscriptions I could have got for the price of my GPU is a question I'm deliberately avoiding, predominantly for marital reasons. I rather think of myself as a data nerd. All those sensors collecting all that data in a "If this, then that" environment makes for endless tinkering possibilities. And with an AI-powered Nabu gradually replacing Alexa, my office edges ever closer to Tony Stark's lair. We're no longer at "deploying Kubernetes clusters" level of difficulty, but it's still very much a tinkerer’s space rather than a mainstream consumer appliance. Even so, it feels like a taste of where we're heading.
The strange thing is how quickly this all stops feeling strange. Talking naturally to an AI that understands context, remembers previous conversations and controls my house may have garnered astonishment and commentary. Now, it's just another thing sitting quietly in my server rack.
Home Assistant acting as “mission control” for lighting, climate and automation around the author’s home Howard Armitage Tyler Durden Mon, 06/15/2026 - 19:15