The World Is Ending. Welcome to the Spooner Revolution
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Re: The World Is Ending. Welcome to the Spooner Revolution
#2I don't know why so many people are obsessed with Amdahl's law as some universal argument. The quoted section is not only 100% incorrect, it sweeps the blatantly obvious energy problem under the rug.
Imagine going to a local forest and pointing at a crow and shouting "penguin!", while there are squirrels running around.
What Amdahl's law says is that given a fixed problem size and infinite processors, the parallel section will cease to be a bottleneck. This is irrelevant for AI, because people throw more hardware at bigger problems. It's also irrelevant for a whole bunch of other problems. Self driving cars aren't all connected to a supercomputer. They have local processors that don't even communicate with each other.
>The latest innovations go far beyond logarithmic gains: there is now GPT-based software which replaces much of the work of CAD Designers, Illustrators, Video Editors, Electrical Engineers, Software Engineers, Financial Analysts, and Radiologists, to name a few.
>And yet these perinatal automatons are totally eviscerating all knowledge based work as the relaxation of the original hysterics arrives.
These two sentences contradict each other. You can't eviscerate something and only mostly "replace" it.
This is a very disappointing blog post that focuses on wankery over substance.
Re: The World Is Ending. Welcome to the Spooner Revolution
#3>Even with that, there are obvious limitations described by Amdahl's law, which states there is a logarithmic maximum potential improvement by increasing hardware provisions. I don't know why so many people are obsessed with Amdahl's law as some universal argument. The quoted section is not only 100% incorrect, it sweeps the blatantly obvious energy problem under the rug. Imagine going to a local forest and pointing…
> This is irrelevant for AI, because people throw more hardware at bigger problems
GAI is a fixed problem which is Solomonoff Induction. Further Amdahl's law is a limitation on neither software nor a super computer.
Both inference and training rely on parallelization, LLM inference has multiple serialization points per layer. Vegh et al 2019 quantifies how Amdahl's law limits success in neural networks[1]. He further states:
"A general misconception (introduced by successors of Amdahl) is to assume that Amdahl’s law is valid for software only". It would apply to a neural network as it does equally to the problem of self-driving cars.
> These two sentences contradict each other
There is no contradiction only a misunderstanding of what "eviscerates" means and even with that incorrect definition resulting in your threshold test, it still remains applicable.
1. https://pmc.ncbi.nlm.nih.gov/articles/PMC6458202/
Further reading on Amdahl's law w.r.t LLM:
2. https://medium.com/@TitanML/harmonizing-multi-gpus-efficient...
3. https://pages.cs.wisc.edu/~sinclair/papers/spati-iiswc23-tot...
Re: The World Is Ending. Welcome to the Spooner Revolution
#4Re: The World Is Ending. Welcome to the Spooner Revolution
#5It would be better if the author could write plain English.
Re: The World Is Ending. Welcome to the Spooner Revolution
#6"Replaces". Uh-huh.
Re: The World Is Ending. Welcome to the Spooner Revolution
#7It would be better if the author could write plain English.
Edit: there it is. `vibe-coded and deployed with Claude Code`
Re: The World Is Ending. Welcome to the Spooner Revolution
#8It would be better if the author could write plain English.
The article “The World Is Ending. Welcome to the Spooner Revolution” from Aethn delves into the transformative impact of advanced AI models on the global socio-economic landscape.
The author critiques the belief in a static “end of history,” suggesting that recent advancements in AI, particularly large language models (LLMs), are catalyzing a profound shift in how work and economic structures function. These AI models have evolved beyond previous limitations, enabling automation of tasks across various knowledge-based professions without extensive fine-tuning.
This technological leap is diminishing the traditional value of wages, as individuals can now leverage AI to perform tasks that previously required entire teams. Consequently, there’s a growing trend toward self-employment and entrepreneurial ventures, echoing the ideals of 19th-century thinker Lysander Spooner, who advocated for a society where individuals operate independently of wage-based systems.
The article posits that this “Spooner Revolution” will lead to a surge in small enterprises, a decline in traditional corporate structures, and a reevaluation of educational and economic institutions to accommodate this new paradigm.
Re: The World Is Ending. Welcome to the Spooner Revolution
#9>Even with that, there are obvious limitations described by Amdahl's law, which states there is a logarithmic maximum potential improvement by increasing hardware provisions. I don't know why so many people are obsessed with Amdahl's law as some universal argument. The quoted section is not only 100% incorrect, it sweeps the blatantly obvious energy problem under the rug. Imagine going to a local forest and pointing…
We would see neither squirrels nor crows since these criticisms miss the forest for the trees. But we can address them. > This is irrelevant for AI, because people throw more hardware at bigger problems GAI is a fixed problem which is Solomonoff Induction. Further Amdahl's law is a limitation on neither software nor a super computer. Both inference and training rely on parallelization, LLM inference has multiple seri…