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Supporting Little Tech is the Practical Way to Deal with Big Tech

ygolo

My termites win
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Technology has always played a vital role in economic development, but its impact has become increasingly significant in recent decades. Technological advancements have led to new industries and products, increased productivity, and improved efficiency in existing industries. This has resulted in economic growth, job creation, and higher living standards. Some specific examples of the role of technology in the economy. The development of e-commerce has revolutionized the retail industry. Online retailers can reach a global audience and offer a wide range of products at competitive prices. This has led to the closure of many traditional brick-and-mortar stores, but it has also created new jobs in the logistics and customer service sectors. E- commerce has also made it easier for small businesses to compete with larger retailers. Technology is constantly evolving, and its impact on the economy is likely to continue to grow in the years to come.


Technology isn’t something to be wary of. Instead, it’s a tool we can leverage to build better businesses, stronger economies and healthier communities — to make a real difference in the world.
 

ygolo

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To have Jevon's paradox happen in the workforce, this is the trend we need lean into. The assumption being we're making more and more startups. Humans won't run out of needs or wants.
 
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ygolo

My termites win
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I wanted to stress again that there have historically been collectivist actions that work much better in tech than unions (though the options should still be persued).

Co-ops and consulting networks are pretty common. They tend to grow around open source.

Open source, in fact, has a win rate against Big Tech that would make almost any union in another sector envious.

Every programming language that won is open.

Open operating systems (like Linux) dominates the underlying technology of the cloud, and is generally preferred by tech-savvy professionals as their main system.

Wikipedia beat Microsoft.

The game theory around how open source (a corner stone of Little Tech) keeps winning against Big Tech, I think, is simple.

As long as a particular product doesn't become a monopoly, and is still only an oligopoly, the one coming from behind can partner with the open source community to comodify the advantage of the lead player. It's a "reset", that'll give a new entrant, or a trailing competitor a new landscape.

This process ultimately doesn't create predictable "business value", but we know how valuable, in real terms, the co-op built products like Wikipedia, Linux, and every major programming language is.

These things make everyone more productive, even though, in the myopic measure of profit per worker, the "productivity" is competed out.

We know a modern software engineer, who needs far less training, gets a lot more done than PhD Mathematicians/Computer Scientists did during the punch-card days. Most of this will be unmeasured as "business value", because everyone has access to things that make people more productive in real terms.

Taking the game theory to the limit, the most anti-trust thing to do in the tech sector is to build a co-op/consulting network around open source that takes on Big Tech.

The best research is done in every field in a collegiate and open way. Software is no different.

Security through obscurity has always been a fool's errand, because the weakest links in any security system are it's people, and it has been for ages.

Do you trust any of the assholes building "AGI" now?

My claim is that any single player, or group will always end up being the worst power hungry people to be in charge of such a thing. We're far from it happening, and we see this dynamic in full force.
I'm quoting myself from long ago, because of what happened with DeepSeek R1.
 

ygolo

My termites win
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People, once again, need to distinguish the app/system that DeepSeek puts out from the model.

I didn't download the app. I wouldn't even use their API or web interface outside of experiments. I wouldn't send data to China. I don't like sending data to OpenAI, Anthropic, or Google either.

I knew about Chinese censorship around Taiwan and Tianamen Square, and almost nothing else (e.g. weapons, etc.). This is exactly what I would expect. If it was on the internet, you have access (with some half-hearted attempts at censorship to comply with the CCP).

The point is the equation they used, people call them "weights," are open sourced.

My ideal, is if all the data was open and based on commons also(with all the objectionable data removed before training even began). Eventually, hopefully some group will get there.

Maybe this guy:

I wish he'd use a substack, or Medium instead of X. But I suppose he wants the influence.

Edit: He does have a substack. I already pay for medium. This even feels irresponsible.


Edit 2: The open substack doesn't require payment.

Strategies for Economic Adaptation

Control of Key Resources: Data pipelines, proprietary algorithms, and computational infrastructure constitute critical bottlenecks in the AI economy. Policymakers and entrepreneurs must prioritize democratizing access to these essential resources.

Data Ownership: Individuals should assert ownership over their personal data, earning royalties or dividends when such data is monetized.

Universal Basic Capital: Governments could distribute equity in AI-driven enterprises to ensure that automation’s dividends benefit society collectively rather than exclusively enriching a privileged few.

Universal Basic AI: Inspired by the Intelligent Internet framework, this approach advocates for equitable access to AI tools for education, healthcare, and professional development. Subsidizing AI systems could mitigate socioeconomic divides.

Entrepreneurial Opportunities: By drastically reducing operational costs, AI empowers individuals to launch ventures with capabilities previously reserved for large organizations
 
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ygolo

My termites win
Joined
Aug 6, 2007
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I've been beating this drum for so long.

It'll start with the software engineers. This round of "luddites" want destroy the machine makers and keep their machines.

But the thing is, software engineers no longer use punch cards. Very few write assembler code.

There's opportunity for people to learn the new skills (which haven't been defined yet) through experimentation and open source.

These avenues were closed off during the cloud and mobile platform shifts. The closed nature is the main reason that social media encourages "engagement" through enragement. There wasn't a way to have a diversity of leadership opinion. To learn the new skills, you needed to pretend to be a disciple of the Tech bro CEOs, find an entirely new career path, or starve to death on the streets.

The open internet, on the other hand quickened the pace of the fall of the Berlin wall through web logs and bulletin boards.

"AI" has a chance to do that, but in addressing biases in data (including long standing biases in health and education).

It's not the technology itself that's the problem, it's the tiny group of people in charge of it that is.
 
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ygolo

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Jobs-Using-AI_02-web-1180x1536.jpg


Claude is seen as a more technical product than the others, but with Meta, Salesforce, and others saying they are firing, or at least not hiring new software engineers, the main place for them to go are to smaller businesses. Those that can be started with fewer people.
 
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ygolo

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I realize technology work can seem like some esoteric sector of the economy for some, but it's actually quite large and ever growing.

It's the front-line of automation's effect on the economy as a whole. What happens to software engineers, foretells the future for other workers.

The big business owners want to drive wages to zero relative to revenues.

I think, we have to find a way to drive prices to zero relative to wages.

The 90s, in many ways allowed that to happen, partly because of the open web, net, and even computer standards. It's about the financial barrier to learning skills to become a worker with the new skills also going to zero. It'll still require strong motivation and time, but not money(or by proxy being accepted to special programs, or working at a select company).

You can contrast that with the closed nature of telecom in the 80s, as well as closed cloud, closed social media, and mostly closed mobile from this century, where learning the new skills required significant financial outlay (or being accepted to special programs or jobs at specific companies--much harder for older workers).

For four of the five technology platform shifts in the past half century, the ability to learn new skills for workers have been closed off. That's my diagnosis for why there have been large productivity gains, but no inflation adjusted wage gains over the past half-century. There are certain areas where you could say "it's good work, if you can get it." But the systems have been increasingly rigged to only allow the rich (or already initiated) to learn the skills needed to get those jobs.

The ethos starts with how technology workers are treated, and spreads everywhere else.

There's still opportunity to make the next wave of technology more like the original web, and less like the rigged oligarchical garbage it is now.
 
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ygolo

My termites win
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Aug 6, 2007
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image-8.png
 

ygolo

My termites win
Joined
Aug 6, 2007
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I have so many opinions on "Return on labor":


The core issue is:

This is the first, and nearest term "apocalypse" to avoid. Worrying about "paperclip maximizers," and other science fiction mechanics, when the clearly oppressive oligarchy has designs to drive wages to zero is putting the cart before the horse.
 

ygolo

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Aug 6, 2007
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The general public is now getting a sense of many of the weird techno-cults and psuedo-religions that technology workers have been dealing with for so long.
 
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