Excellent message! I was intrigued mainly by the intersectionality that AI has covered in such a short time, without considering subject matter expertise as part of the foundation but scraping on relevant content, meaning that opinion-based content is part of that formation. Politically speaking, it’s another way of distracting the masses from pursuing real and raw knowledge. You have all these bigoted companies competing to “who distracts the largest population?”
Excited to learn more and reflect on your writings! This one is 🔥.
Brilliant analysis and hopefully you can find an online media forum to share this more widely. The new media landscape is rife with political commentary. But it’s just blathering and mostly speculation, which of course it has to be. You’re offering analysis and action. I’m impressed as usual. Great work.
Good read, but...I think these are all incorrect...
GAI uses obscene amounts of electricity and huge data centers.
-- Yes, but they are becoming more efficient and bizarrely helping bring nuclear back. If their value is high enough then the energy demands will be met.
New generative AI models and the latest hardware are dramatically more efficient in terms of electricity use per computation—sometimes by orders of magnitude. However, because AI is being deployed at unprecedented scale, total electricity consumption is still rising rapidly. The efficiency gains are real, but they are being partially offset by the explosion in usage.
As lawsuits from aggrieved content creators begin to mount
-- Yes, but will they amount to anything since the models have been built. Will countries retroactively have these companies decommission models? And soon they will have the models create content to train themselves on by looking at the real, uncopyrighted work and predicting what it would look like in new situations.
The computing power needed to run LLMs means that they cannot be practically operated on people’s personal machines
-- There are a bunch of models that you can run on your laptop. Look at Tabby. Apple is putting a lot of effort to make models that can run remotely/independently.
You can run a wide range of generative AI models on your laptop, from lightweight models like Qwen2-1.5B and Phi-3 Mini to more capable ones like Llama 3 8B and Mistral 7B—provided your hardware meets the requirements. For larger models (13B+), you’ll need a powerful machine with ample RAM and preferably a discrete GPU. Tools like Ollama and LM Studio make it easy to get started and experiment with different models
And, most importantly, GAI’s vain attempts to cut humans out of the loop will be its death sentence.
-- No...it won't. Like the loom and other industrial innovations it will change what humans do. Also, there is not enough political will to stop capitalistic (and communistic) countries from letting companies reduce their costs.
Excellent message! I was intrigued mainly by the intersectionality that AI has covered in such a short time, without considering subject matter expertise as part of the foundation but scraping on relevant content, meaning that opinion-based content is part of that formation. Politically speaking, it’s another way of distracting the masses from pursuing real and raw knowledge. You have all these bigoted companies competing to “who distracts the largest population?”
Excited to learn more and reflect on your writings! This one is 🔥.
Brilliant analysis and hopefully you can find an online media forum to share this more widely. The new media landscape is rife with political commentary. But it’s just blathering and mostly speculation, which of course it has to be. You’re offering analysis and action. I’m impressed as usual. Great work.
Please do let me know if you know outlets I can promote, since I want to reach a wider audience.
This is was great, very funny too.
Good read, but...I think these are all incorrect...
GAI uses obscene amounts of electricity and huge data centers.
-- Yes, but they are becoming more efficient and bizarrely helping bring nuclear back. If their value is high enough then the energy demands will be met.
From Perplexity.ai
New generative AI models and the latest hardware are dramatically more efficient in terms of electricity use per computation—sometimes by orders of magnitude. However, because AI is being deployed at unprecedented scale, total electricity consumption is still rising rapidly. The efficiency gains are real, but they are being partially offset by the explosion in usage.
As lawsuits from aggrieved content creators begin to mount
-- Yes, but will they amount to anything since the models have been built. Will countries retroactively have these companies decommission models? And soon they will have the models create content to train themselves on by looking at the real, uncopyrighted work and predicting what it would look like in new situations.
The computing power needed to run LLMs means that they cannot be practically operated on people’s personal machines
-- There are a bunch of models that you can run on your laptop. Look at Tabby. Apple is putting a lot of effort to make models that can run remotely/independently.
Again...from Perplexity.ai
You can run a wide range of generative AI models on your laptop, from lightweight models like Qwen2-1.5B and Phi-3 Mini to more capable ones like Llama 3 8B and Mistral 7B—provided your hardware meets the requirements. For larger models (13B+), you’ll need a powerful machine with ample RAM and preferably a discrete GPU. Tools like Ollama and LM Studio make it easy to get started and experiment with different models
And, most importantly, GAI’s vain attempts to cut humans out of the loop will be its death sentence.
-- No...it won't. Like the loom and other industrial innovations it will change what humans do. Also, there is not enough political will to stop capitalistic (and communistic) countries from letting companies reduce their costs.