Is local AI truly better for environment?

Yes, AI data centers need significantly more electricity 

due to the massive computing power for complex models, with demand rising rapidly, potentially doubling by 2026 and straining grids, necessitating new power generation and transmission to meet needs for both processing and cooling. AI tasks, like a ChatGPT query, can use 10x more power than a standard search, leading to major energy draws that rival entire countries' consumption, creating challenges for utilities and increasing costs. 

Why electricity demand is soaring

1. Intense Processing: AI models, especially Large Language Models (LLMs), require vast arrays of powerful, energy-hungry GPUs for training and inference.
2. High-Density Servers: Newer, more powerful AI servers consume much more energy per unit than traditional servers, increasing power density in data centers.
3. Cooling Demands: The intense processing generates significant heat, requiring massive, energy-intensive cooling systems, which account for a large chunk of a data center's total power use. 

Impact on power grids and costs

1. Grid Strain: AI data centers create huge, concentrated 24/7 power demands, challenging existing transmission and distribution infrastructure, notes Deloitte.
2. Rising Bills: Increased demand near data centers has led to higher wholesale electricity costs, affecting local consumers, says Bloomberg.com.
3. Future Projections: Data centers could account for over 4% of global electricity by 2035, potentially making them the world's fourth-largest energy consumer, according to this YouTube video. 

Solutions and considerations

1. Efficiency: Developing more efficient chips and cooling systems helps, but the sheer scale of AI growth often outpaces these gains, notes this PSU article.
2. Infrastructure Investment: Utilities need massive investments in generation, storage, and transmission to keep up, says this CNBC article.
3. Grid Planning: Better, long-term energy policy and planning are crucial to avoid overbuilding or under-supplying the grid for AI's future needs, say experts at this CNBC article and the Canadian Climate Institute. 

Local AI doesnt use much power, and they can run on anything.

That statement is 

incorrect; all artificial intelligence, whether running on a remote server (cloud AI) or locally on your device, requires electrical power to operate. The energy consumption can vary significantly based on the model's size and the hardware used. 

Why Local AI Still Needs Power

1. Computation requires electricity: The processing of data and execution of the AI model's algorithms happen on a device's processor (CPU), graphics processing unit (GPU), or specialized neural processing unit (NPU). These components draw power from a local source (e.g., a wall outlet, battery).
2. Hardware is the bottleneck: The performance and efficiency of running AI locally depend entirely on the available hardware's power and capabilities, particularly VRAM. If the hardware is underpowered, the AI will run slowly or not at all.
3. Reduced network power, not zero power: The main power savings for local AI come from eliminating the need for constant data transmission over a network to distant, power-hungry data centers. Your data stays on your device, which improves privacy and allows offline use, but the device itself still uses power for the computations.
4. Sustainability benefits: While local AI requires power, it is generally considered a more sustainable alternative to large cloud-based AI systems, as it leverages existing on-device hardware and avoids the energy costs associated with massive data center infrastructure and constant data transfer. 

In summary, the power required for local AI is simply consumed by the device running it (laptop, smartphone, etc.), rather than a remote server farm.

Local AI doesnt use much power. My phone battery doesnt drain much faster when using local AI.

That is expected behavior! Using on-device (local) AI often drains your phone's battery 

less or at a comparable rate to server-based AI, depending on the specific tasks and hardware optimization [1]. 

Here's why:

1. No Data Transmission: Local AI eliminates the need to constantly transmit data over cellular or Wi-Fi networks [1]. Network connectivity is a significant power consumer on mobile devices.
2. Optimized Hardware: Modern smartphone chips (like Apple's Neural Engine or Qualcomm's Hexagon NPU) are specifically designed to perform AI/ML tasks very efficiently in terms of power consumption [1, 2].
3. Consistent Power Draw: While intensive local processing uses power, it's often a more predictable and efficient power draw compared to the bursts of power needed for cellular modem activity during cloud communication. 

In short, the efficiency of specialized mobile processors and the lack of constant network usage mean your battery lasts longer than you might assume when running AI locally.

Fortunately I don't need to care about such stuff.

I will more than likely die before real AI takes over the evolutionary reins properly.

Until then, the human masses will continue to drool over the latest techno-developments.

I will more than likely die before real AI takes over the evolutionary reins properly.

We get it, you are old and expired.

You time is measured in zeptosecond that is even shorter than expected.

I say a lot of local AI models are even better than many AI found online. Its just that my laptop and smartphone arent strong enough to make text generation as fast as in online AI. But local AI lets you increase temperature and other settings which improve responses, and even set up local chatbot programmed as you see fit.

Plus, offline AI is useful when internet stops working, or when electricity goes out which again causes internet to stop working. Being independent from internet and having local intelligence on your smartphone is great. And enviornment extremists have no good argument against local AI because local AI doesnt use any water cooling system.

In relative terms, all our lives last a zeptosecond.

Blah de blah de blah.

And you are a kid who lives with his mom and dad.

And you are a kid who lives with his mom and dad.

You are starting to sound insane, dear.

And your mom also wishes that you didn't keep leaving dirty stains on the bed sheets.

I'm guessing SergeantLynch looks like this:

You are just mad that you are old. I am still young and people like me.

I'm guessing SergeantLynch looks like this:

If he looked like that, he would post his photos here. No, I am imagining something more degenerate in appearance.

So post your photo and prove that you are not 15.

Ah, you kept my Big Bang Club application photo.

So post your photo and prove that you are not 15.

Old people think others have duty to prove themselves to them. Have you proved yourself to others? I cant really imagine you being important to someone.

Yes I proved that I have viable sperm.

And I don't keep shooting it all over the bed linen for my mom to deal with.

You claim that I am a kid and then you talk to me bragging about your sperm. What kind of a sick old man brags to a kid about his sperm?

What kind of a sick old man brags to a kid about his sperm?

Trump on Epstein Island ?

HaHa.

New angle of attack hey Lucy.

Anyway, sweet dreams, nighty night, sleep tight.

I'm off to bed to read a book.

And regards to your work weary Mom and Dad too.

He got you thinking about his parents. Probably looking for a sperm donor.

I'm off to bed to read a book

Only dumb people read books.

I would imagine that deaf people also read books.

And that Blind people have braille ones.

And that your mom tucks you in and reads you bedtime stories.

That is why Trump wants to ban books to stop outside influences on our children.

I have never met a smart old person who reads books, tho I have met plenty of old people who read books.

The Link Between Reading and Intelligence

Research suggests that reading books can significantly improve cognitive function and intelligence. Engaging with written material requires various mental processes, such as decoding words, understanding complex sentence structures, and visualizing concepts. This mental engagement acts as a workout for the brain, enhancing memory, attention, and analytical thinking skills over time.