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🇮🇹 IT
Trattoria storica della zona Garda cerca personale di sala.
Annuncio verificato.
🇩🇪 DE
Traditionelle Trattoria am Gardasee sucht Servicepersonal.
Verifizierte Anzeige.
🇬🇧 EN
Traditional trattoria in the Garda Lake area is looking for service staff.
Verified listing.
🇷🇺 RU
Традиционная траттория в районе озера Гарда ищет персонал в зал.
Объявление проверено.
🇲🇩 MD (RO)
Trattorie tradițională din zona Lacului Garda caută personal de sală.
https://www.trattoriavilla...
Trattoria storica della zona Garda cerca personale di sala.
Annuncio verificato.
🇩🇪 DE
Traditionelle Trattoria am Gardasee sucht Servicepersonal.
Verifizierte Anzeige.
🇬🇧 EN
Traditional trattoria in the Garda Lake area is looking for service staff.
Verified listing.
🇷🇺 RU
Традиционная траттория в районе озера Гарда ищет персонал в зал.
Объявление проверено.
🇲🇩 MD (RO)
Trattorie tradițională din zona Lacului Garda caută personal de sală.
https://www.trattoriavilla...
🗣Dario Amodeis says: We are heading towards a world of unimaginable wealth, where we will cure cancer, research the cheapest energy sources, and so much more.
At the same time, however, he emphasizes once again the accompanying social problems.
And although he himself is one of the biggest beneficiaries of this revolution, as he says, he wants significantly higher taxes on this wealth, including himself.
aipost 🏴
At the same time, however, he emphasizes once again the accompanying social problems.
And although he himself is one of the biggest beneficiaries of this revolution, as he says, he wants significantly higher taxes on this wealth, including himself.
aipost 🏴
🗣Elon Musk: "Sun is the biggest source of energy.
Within a few years, we will be launching solar powered AI satellites, because the space is really the source of immense power, and then you don't need to take up any room on Earth. You can scale upto hundreds of terawatts a year."
aipost 🏴
Within a few years, we will be launching solar powered AI satellites, because the space is really the source of immense power, and then you don't need to take up any room on Earth. You can scale upto hundreds of terawatts a year."
aipost 🏴
Trump says AI race is no longer about who has the best AI Models (and probably Chips), it is about energy.
Energy will become the biggest bottleneck in the very near future. And Europe will no longer play any role in this.
aipost 🏴
Energy will become the biggest bottleneck in the very near future. And Europe will no longer play any role in this.
aipost 🏴
/LIVE TEXT/ Război în Ucraina, ziua 1423: Vizită surpriză, secretul lui Macron și semnalul lui Putin. Kievul convoacă „Energy Rammstein” https://tv8.md/2026/01/16/...
Meta has officially become one of the largest corporate purchasers of nuclear energy in American history.
The tech giant has announced a landmark series of agreements with three major energy providers to secure up to 6.6 gigawatts (GW) of nuclear power by 2035.
To put that into perspective: That corresponds to the annual electricity consumption of 16-17 million US citizens.
aipost 🏴
The tech giant has announced a landmark series of agreements with three major energy providers to secure up to 6.6 gigawatts (GW) of nuclear power by 2035.
To put that into perspective: That corresponds to the annual electricity consumption of 16-17 million US citizens.
aipost 🏴
⚡️ NVIDIA announces Vera rubin:
• Up to 10x lower inference token costs (vs. Blackwell)
• 4x fewer GPUs required for MoE training (vs. Blackwell)
• 5x better energy efficiency (Spectrum-X Photonics)
• 5x longer uptime (Spectrum-X Photonics)
• 10x higher reliability (Ethernet Photonics)
• 18x faster assembly and maintenance (vs. Blackwell)
Available H2 2026
aipost 🏴
• Up to 10x lower inference token costs (vs. Blackwell)
• 4x fewer GPUs required for MoE training (vs. Blackwell)
• 5x better energy efficiency (Spectrum-X Photonics)
• 5x longer uptime (Spectrum-X Photonics)
• 10x higher reliability (Ethernet Photonics)
• 18x faster assembly and maintenance (vs. Blackwell)
Available H2 2026
aipost 🏴
⚡️AI servers are heating Finnish homes
Finland is turning data center waste heat into urban infrastructure.
• AI-powered data centers generate huge amounts of heat during server cooling.
• Instead of dumping it, the heated water is fed directly into city district heating networks, then circulated back to the data centers.
Who’s already doing it
• Google (Hamina): heats ~2,000 homes for free, covering up to 80% of the city’s heating demand.
• Microsoft (Espoo): supplies heat to up to 40% of the city around 100,000 homes.
Data centers shift from energy hogs to critical utilities, lowering em
Finland is turning data center waste heat into urban infrastructure.
• AI-powered data centers generate huge amounts of heat during server cooling.
• Instead of dumping it, the heated water is fed directly into city district heating networks, then circulated back to the data centers.
Who’s already doing it
• Google (Hamina): heats ~2,000 homes for free, covering up to 80% of the city’s heating demand.
• Microsoft (Espoo): supplies heat to up to 40% of the city around 100,000 homes.
Data centers shift from energy hogs to critical utilities, lowering em
⚡️AI servers are heating Finnish homes
Finland is turning data center waste heat into urban infrastructure.
• AI-powered data centers generate huge amounts of heat during server cooling.
• Instead of dumping it, the heated water is fed directly into city district heating networks, then circulated back to the data centers.
Who’s already doing it
• Google (Hamina): heats ~2,000 homes for free, covering up to 80% of the city’s heating demand.
• Microsoft (Espoo): supplies heat to up to 40% of the city around 100,000 homes.
Data centers shift from energy hogs to critical utilities, lowering em
Finland is turning data center waste heat into urban infrastructure.
• AI-powered data centers generate huge amounts of heat during server cooling.
• Instead of dumping it, the heated water is fed directly into city district heating networks, then circulated back to the data centers.
Who’s already doing it
• Google (Hamina): heats ~2,000 homes for free, covering up to 80% of the city’s heating demand.
• Microsoft (Espoo): supplies heat to up to 40% of the city around 100,000 homes.
Data centers shift from energy hogs to critical utilities, lowering em
ELON MUSK ON WHY SPACE SOLAR IS ESSENTIAL FOR KARDASHEV PROGRESS
“To make any progress on a Kardashev 2 scale… you really have to have your solar power in deep space.”
These late 2025 comments remain central as AI energy demands grow and orbital deployments advance into 2026.
He notes Earth receives only a tiny fraction of the Sun’s output, limiting terrestrial scaling.
Space allows access to vastly more continuous energy without atmospheric losses.
https://x.com/LaceyPresley...
“To make any progress on a Kardashev 2 scale… you really have to have your solar power in deep space.”
These late 2025 comments remain central as AI energy demands grow and orbital deployments advance into 2026.
He notes Earth receives only a tiny fraction of the Sun’s output, limiting terrestrial scaling.
Space allows access to vastly more continuous energy without atmospheric losses.
https://x.com/LaceyPresley...
Drones that autonomously clean solar panels are an outstanding idea. Energy is already scarce, the biggest bottleneck of the future. Increasingly (especially in China), drones are being used for real-world applications. No show, just genuine work! Brilliant!
aipost 🏴
aipost 🏴
⚠️ In US AI data centers hitting a hard energy wall.
Morgan Stanley research projects a 44 gigawatt power gap, that current grids and construction plans cannot fill. US data centers are expected to need 69 gigawatts of power between 2025 and 2028, but only 10 gigawatts are coming from projects with their own power and 15 gigawatts from spare grid capacity, leaving a 44 gigawatt shortfall.
That 44 gigawatts is roughly the output of 44 nuclear power plants and with $60B per gigawatt capex needed. Multiplying that by the 44 gigawatt gap gives about $2.6T just for new power generation and grid u
Morgan Stanley research projects a 44 gigawatt power gap, that current grids and construction plans cannot fill. US data centers are expected to need 69 gigawatts of power between 2025 and 2028, but only 10 gigawatts are coming from projects with their own power and 15 gigawatts from spare grid capacity, leaving a 44 gigawatt shortfall.
That 44 gigawatts is roughly the output of 44 nuclear power plants and with $60B per gigawatt capex needed. Multiplying that by the 44 gigawatt gap gives about $2.6T just for new power generation and grid u
As data centers hurtle to the forefront of the national debate over artificial intelligence (AI) and energy costs, northern Virginia offers a preview of the political fights that will play out in c… https://thehill.com/policy...
Key PointsAI chips are required to power AI tools, but those chips are useless without energy. https://www.nasdaq.com/art...
🗣Geoffrey Hinton says there's still major progress left just from better engineering, not just new science
DeepSeek is a clear example: smarter training and more efficient use of older NVIDIA chips can deliver strong results with less compute and energy. "We'll see new architectures we haven't even imagined yet"
aipost 🏴
DeepSeek is a clear example: smarter training and more efficient use of older NVIDIA chips can deliver strong results with less compute and energy. "We'll see new architectures we haven't even imagined yet"
aipost 🏴
MOUNTAIN VIEW, Calif. (AP) — Google's corporate parent on Monday announced an agreement to buy data center energy specialist Intersect for $4.75 billion as part of its effort to secure the vast amounts of electricity needed to power artificial intelligence technology. https://www.wral.com/news/...
🔥 Google’s quantum processor could perform 1,000 times better with Princeton’s new qubit
Princeton researchers built a superconducting qubit with much longer coherence than today’s standard designs, on the order of milliseconds instead of microseconds.
The improvement comes from using tantalum on high purity silicon, which dramatically reduces energy loss. Longer coherence means fewer errors and far more useful computation.
In principle, dropping this qubit into existing quantum processors could yield ~1,000x effective performance gains, with benefits compounding as systems scale. This is
Princeton researchers built a superconducting qubit with much longer coherence than today’s standard designs, on the order of milliseconds instead of microseconds.
The improvement comes from using tantalum on high purity silicon, which dramatically reduces energy loss. Longer coherence means fewer errors and far more useful computation.
In principle, dropping this qubit into existing quantum processors could yield ~1,000x effective performance gains, with benefits compounding as systems scale. This is
📈 AI’s environmental cost is rising and no one knows the full scale
A new study suggests that in 2025, artificial intelligence systems consumed vast amounts of energy and water, creating an environmental footprint comparable to that of a major city. Researchers estimate AI-related electricity use resulted in up to 80 million tons of CO₂ emissions, roughly on par with New York City’s annual emissions.
The same analysis indicates that data centers powering large neural networks used as much as 760 billion liters of water, primarily for cooling servers. However, scientists stress that these fig
A new study suggests that in 2025, artificial intelligence systems consumed vast amounts of energy and water, creating an environmental footprint comparable to that of a major city. Researchers estimate AI-related electricity use resulted in up to 80 million tons of CO₂ emissions, roughly on par with New York City’s annual emissions.
The same analysis indicates that data centers powering large neural networks used as much as 760 billion liters of water, primarily for cooling servers. However, scientists stress that these fig
🚨 Biggest, most important tech breakthrough from China and for China this year.
China has built its first EUV machine prototype (machine used to manufacture advanced chips), marking a major semiconductor breakthrough. China is already producing far more energy than the US, even more than the US and EU combined. Now imagine what happens when they are able to produce more chips than the US.
More compute = more powerful AI. You get to AGI/SI faster. Thanks to recent technological advances, they can seriously ramp up chip production. And with China’s scale, they will likely do it at massive sca
China has built its first EUV machine prototype (machine used to manufacture advanced chips), marking a major semiconductor breakthrough. China is already producing far more energy than the US, even more than the US and EU combined. Now imagine what happens when they are able to produce more chips than the US.
More compute = more powerful AI. You get to AGI/SI faster. Thanks to recent technological advances, they can seriously ramp up chip production. And with China’s scale, they will likely do it at massive sca
Researchers harnessed the power of light to create a chip that could perform complex generative tasks with vastly improved energy efficiency. https://www.scmp.com/news/...
🗣 ELON MUSK: "If civilization continues, A.I in space is inevitable. In order to achieve any meaningful percentage of a Kardashev II scale civilization where you're using even a millionth of the sun's energy, you must have solar powered AI satellites in deep space.
My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative."
My estimate is that the cost of electricity, like the cost effectiveness of AI in space, will be overwhelmingly better than AI on the ground. You actually don't need batteries, because it's always sunny in space and the solar panels actually become cheaper because you don't need glass or framing, and the cooling is just radiative."
Models that “think” through problems step by step before providing an answer use considerably more power than older models. https://singularityhub.com...
🚀 Elon Musk: Space data centers could surpass earth-based facilities in three years
Elon Musk has suggested that orbiting data centers may soon be more cost-effective than terrestrial ones, igniting debate in the AI infrastructure space.
Why space?
• Terrestrial data centers face limits on power, cooling water, and available land.
• Space-based facilities could reduce strain on local energy grids and eliminate water usage.
• Heat can radiate directly into space, allowing for higher hardware density.
Economics & feasibility
• Cooling accounts for up to 40% of energy costs in conventional cen
Elon Musk has suggested that orbiting data centers may soon be more cost-effective than terrestrial ones, igniting debate in the AI infrastructure space.
Why space?
• Terrestrial data centers face limits on power, cooling water, and available land.
• Space-based facilities could reduce strain on local energy grids and eliminate water usage.
• Heat can radiate directly into space, allowing for higher hardware density.
Economics & feasibility
• Cooling accounts for up to 40% of energy costs in conventional cen
Google & Next era Energy are partnering on multi-gigawatt U.S. data center campuses with dedicated power for accelerating AI demand.
The first three sites are already in development with ~3.5 GW operating or contracted.
AI Post ⚪️ | Our X 🏴
The first three sites are already in development with ~3.5 GW operating or contracted.
AI Post ⚪️ | Our X 🏴
A Utah-based geothermal exploration company announced that it discovered a large 'hidden' geothermal resource underground in the Nevada desert using the company https://mynews4.com/news/l...
Today, we are pleased to announce a new integration between Amazon Quick Research and S&P Global. This integration brings both S&P Global Energy news, research, and insights and S&P Global Market Intelligence data to Quick Research customers in one deep research agent. In this post, we explore S&P Global’s data sets and the soluti https://aws.amazon.com/blo...
⚡ Jensen Huang: The AI race is shifting from chips to concrete, power, and speed
Nvidia’s Jensen Huang says the new battleground isn’t model quality, it’s who can build and power hyperscale AI data centers the fastest. A top-end US AI facility takes 3 years from ground-breaking to supercomputer-ready, while China can erect massive structures in weeks and scale energy far faster.
Speed vs. Scale
• Huang notes China’s ability to stand up large buildings even hospitals in days, giving it a construction-speed edge.
• AI capacity is now limited by permitting, land, steel, grid hookups not algorit
Nvidia’s Jensen Huang says the new battleground isn’t model quality, it’s who can build and power hyperscale AI data centers the fastest. A top-end US AI facility takes 3 years from ground-breaking to supercomputer-ready, while China can erect massive structures in weeks and scale energy far faster.
Speed vs. Scale
• Huang notes China’s ability to stand up large buildings even hospitals in days, giving it a construction-speed edge.
• AI capacity is now limited by permitting, land, steel, grid hookups not algorit
Researchers sound the alarm over the unexpected result of the rapid growth of AI and its environmental impact. https://www.thecooldown.co...
Elon Musk: The sun is overwhelmingly the source of energy, and everything else is tiny potatoes 🥔
“The biggest source of energy by far is the sun. So nothing even comes close to the sun in terms of energy output. The sun converts over 4 million tons of mass to energy per… pic.twitter.com/oxk8fFe9f0— Eva Fo𝕏 🦊 Claudius Nero's Legion (EvaFox) December 4, 2025 https://x.com/EvaFox/statu...
“The biggest source of energy by far is the sun. So nothing even comes close to the sun in terms of energy output. The sun converts over 4 million tons of mass to energy per… pic.twitter.com/oxk8fFe9f0— Eva Fo𝕏 🦊 Claudius Nero's Legion (EvaFox) December 4, 2025 https://x.com/EvaFox/statu...
🚨 Amazon launches new AI chip and it's taking on Nvidia and Google.
Amazon has released its newest in-house AI chips, Trainium 3, now available inside large “UltraServers” with up to 144 chips per system. The company says the setup delivers 4× more compute and similar gains in energy efficiency compared to the previous generation.
What Amazon is pitching:
• The new Trainium 3 UltraServers are designed to train larger AI models faster and at lower cost.
• Amazon positions them as a direct alternative to Nvidia GPUs and Google’s custom silicon.
• The company frames the launch as “democratizin
Amazon has released its newest in-house AI chips, Trainium 3, now available inside large “UltraServers” with up to 144 chips per system. The company says the setup delivers 4× more compute and similar gains in energy efficiency compared to the previous generation.
What Amazon is pitching:
• The new Trainium 3 UltraServers are designed to train larger AI models faster and at lower cost.
• Amazon positions them as a direct alternative to Nvidia GPUs and Google’s custom silicon.
• The company frames the launch as “democratizin
Artificial intelligence (AI) is transforming the world at top speed, and behind the breakthrough lies a growing demand for electrical power. https://news.mst.edu/2025/...
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