You’re right, chemistry was not your strong point. The sugars produced by photosynthesis are the ones that get turned into coal and oil. Plant respiration actually is the reverse of photosynthesis (it’s essentially human respiration) and is done for exactly the same reason that humans use it for, to produce energy for use by the plant. A plant just does more photosynthesis than respiration, which causes it to grow over time as it accumulates carbon based molecules and stores them.

If you take the holistic view, servers are already powered by photosynthesis. It just happens that most of them are powered by photo synthesis that occurred millions and millions of years ago.

I’m running Qwen 3.6 35B A3B (the MoE model) on an 8GB Vram Nvidia GPU with 32 GB of ram, with tweaking (and Turboquant) I’ve got it up to 30-40 Tokens per second and a 260k Context. It’s very usable. I’ve seen people report success with Dual 3060 Cards, but you’re still talking $1000-1500 for that kind of setup even if you have parts of it already.

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Because it hasn’t been trained on significant amounts of dialogue as a primary source for speech patterns. It also isn’t meant to be distinct unless the instructions make it distinct.

Canada restricts hate speech, as does most of Europe.

Yet its the US with the speech suppression issues going on right now.

They are making money, don’t confuse a lack of profit because of reinvest for failure. Amazon “lost” money for almost a decade.

Not every company needs to succeed either. Plenty of dead companies from the dot com bubble bursting, yet digital companies are more profitable than ever.

You clearly didn’t read the data. It wouldn’t matter if google was using 10x more. The difference between billions and quadrillions is literally a million times.

You’re doing the same shit on 100 different technologies that existed before LLMs but only this is a step too far?

Use your critical thinking skills.

Nah, these data centers are not even worth talking about being bad for the environment compared to almost everything else we do. Trying to use that as a primary focus here is just people looking for an excuse to hate the technology.

https://bryantresearch.co.uk/insight-items/comparing-water-footprint-ai/

Here’s a beautiful article comparing the AI industry to Cattle farming. AI data center water use is measured in tens Billions of liters, while the beef industry is measured in Quadrillions.

You already shot down your own IP argument, I don’t need to help you there. AI companies don’t disproportionately steal from small creators, They may have done more of that in the first few iterations, but the datasets simply don’t do that anymore. There’s no need, they can train it on clean data, then just pull live from the web for specifics now.

I am dripping condescension because it’s fucking stupid. There are plenty of horrible things happening in the world today, AI datacenters are so far down the list that they do not deserve the amount of effort people are putting in to hate them while far more significant things go un-recognized. The reason for this? Because people are being misled, and instead of figuring out things themselves they take the shit they read at face value.

When I see people begin their Anti-AI arguements with “it’s bad for the environment” I tune out completely. These motherfuckers have been driving gasoline powered vehicles around for decades, and are totally fine with natural gas fired power plants.

Fuck off.

Theft of ideas and IP?

Buddy, do you not fucking understand how society has improved over the last 10 thousand years? We even have a saying for it, “standing on the shoulders of giants” which as a saying/concept has been around for about the last 800 fucking years, and was made or remembered famously from Issac Newton in 1675.

If we didn’t use the ideas and learning from those that came before us, we’d still be living in caves.

Do you know what’s more recent than that saying? The entire concept of Intellectual property. Which has only been around a bit more than 500 years.

Buddy is complaining about giving money to large companies, then you look at their linked in profile and see a job history that includes Dropbox, Scribe, and a for-profit healthcare company.

which can be heard for hundreds of feet around them

From that linked article.

Hundreds of feet!

They aren’t building these 50 feet from residential properties. I don’t think this is an actual issue.

Watermarks for AI content is a non-starter, there’s no possible way to enforce this. Pandora’s box has been opened, and even if you mandated all the big AI companies do it, the open source models that exist (or will be developed) will be available to bypass it.

Nothing wrong with charging actual costs for electricity or expanding the grid with renewables. These are actually relevant ideas.

Noise pollution? I haven’t heard that one before. As long as the data centers aren’t running generators, the noise from them should be lower than almost any other industrial user.

History loves to repeat itself.

https://en.wikipedia.org/wiki/Luddite

Some back of the napkin math says about $50 trillion dollars in value for the top 1% in the US. That would pay off the whole US Debt of $40 Trillion, with about $10 trillion left over.

However, there’s a caveat here. Given that’s about 3.5 million people (1% of the US population) that only works out to about $14 million dollars each.

While that’s a lot of money, it’s not really an egregious amount of money. If you limited the 1% to keeping say $10,000,000 each (get rid of the obscenely rich) you would only have about $15 trillion dollars, which doesn’t even pay off half the debt.

Your statement is extremely ambiguous.

Will it be able to fully replace any single task? It already can.

Will it be able to replace every single task a human can do? Probably at some point.

A lot of that comes down to what a “task” is.

To some extent, yes, however, the companies building these systems are using heavily curated data for most of the things where that would matter. They aren’t just letting it free on the whole internet at this point, it would be absolutely useless.

What defines an ethical company?

That’s an example of a false choice.

The most practical distribution is actually a mixture of the three systems divided up based on industry and other factors.

There is no reason we can’t have communism for the food industry, socialism for housing, and capitalism for clothes and movies.

Marx while influential isn’t the defining authority.