Tech: Everything Old Is New Again

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In summary, "Tech: Everything Old Is New Again" explores the cyclical nature of technology trends, highlighting how past innovations often resurface and evolve in contemporary contexts. The article discusses various examples where retro technologies have been reimagined or revitalized, emphasizing the influence of nostalgia in shaping modern tech developments. It suggests that understanding historical advancements can inform current and future innovations, demonstrating that old ideas can lead to new opportunities in the tech landscape.
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"We may be at this point in tech, where supposedly revolutionary products are becoming eerily similar to the previous offerings they were supposed to beat."
https://www.businessinsider.com/tec...-cloud-computing-2023-8?utm_source=reddit.com

This article laments the fact that rideshare services, streaming and cloud services prices are going up, eliminating their upside. This was inevitable, as the companies/services were previously unprofitable or unreasonably below the market, and everyone knew it. The business model is a half-twist on the old early 20th century monopolies: enter a new marked by undercutting the market prices, grow market share, then raise the prices. Except instead of starting off as monopolies, startups start with billions in venture capital and a decade grace period before investors wanted to see a profit.

My girlfriend (database administrator) keeps saying that technology has become cyclical and the cloud is the new mainframe. Data reliability might be somewhat better with cloud computing, but that's not why people are switching to it; it's all about cost.

Netflix was the only game in town for a shockingly long time, but it was inevitable that other streaming services would join the party, and the pandemic cemented that. RIP my Netflix DVD service. I'd hoped the spinoff a few years ago would keep it going, but nope, they just spun it off so they could later kill it. Still....maybe it'll come back? Either way, the fight for viewership is far from over, but the playing field is leveling-off between streaming and cable. I never cancelled my cable anyway....though I'm worried about where football is going.

Uber is the worst, as we've discussed here previously. The business model was never viable. It always relied on predation to grow market share: Enter a new market, break a few laws, but as long as you have a billion dollars worth of lawyers and several billion in loss tolerance you can negotiate and stall your way out of that. And now Uber drivers are starting to realize they are just underpaid non-unionized taxi drivers.

Tesla, too. They've awoken the sleeping giants.

Tech companies have always been given loss grace and absurdly optimistic valuation, at least for the last 40 years since the computer/internet revolution started. But my perception is that much of the earlier tech boom was in truly new technology/services. Recently it seems like they are making incremental improvements on existing products/services but still being treated as if they are revolutionary. I'd like to think there's an end to the madness coming, but venture capitalists seem pretty insatiable, and they are the ones who make Ubers possible. But moving forward we'll just have to see how many Ubers there are left amongst the Juiceros.
 
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A business saying: "Once you get the fish in the boat, stop feeding it bait."
 
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russ_watters said:
...technology has become cyclical...
People are cyclic. It's far less troublesome to find new people than new ideas.

Also, rule of marketing: if it can be sold as revolutionary, then it is revolutionary :wink:

BTW it's eerily similar with the financial part too. The good old unregulated madness is now sold as revolutionary - and people buying it like there is no tomorrow.
 
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I've seen this in gaming tech. We started with simple games on microcomputers which evolved to web games which evolved to phone games. Each of these games resembled the simple ones of the past until the tech got faster and they could evolve.

In computing we started with dumb terminals which evolved to smart terminals then back to dumb terminals with faster networks then back to laptops with faster networks.
 
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russ_watters said:
I'd like to think there's an end to the madness coming, but venture capitalists seem pretty insatiable
As long as you will overwork - making more money than you need today - and give it to either an investment fund with "get higher returns" as your only requirement or, worst, pay overprice for everything you buy such that only a few [now rich] people will do it for you and keep the profits, this system will go on.

Reducing our workload is the only solution to pretty much every problem modern society has, including environmental issues and social inequalities. Pretty easy to do also: just don't do it.

Everybody is talking about consuming more efficiently, but consuming less is impossible if you don't work less because someone has to consume now everything you're working for now. This is where it all begins.
 
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FactChecker said:
Once you get the fish in the boat, stop feeding it bait.
But there's also "I want my sheep shorn - not slaughtered."
 
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Vanadium 50 said:
"I want my sheep shorn - not slaughtered."
[rant]
But as long as the implementor is not the original owner, they will logically go with the higher, quicker, profit option.

Why should they care? As P. T. Barnum said, "There's a sucker born every minute."

Just look at the lines at the local specialty coffee stand; USD $2.95 to $4.75 per cup. My wife makes a pot a day that costs about $0.35 per cup.
[end rant]

Cheers,
Tom
 
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Clearly you married well.
 
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The current infatuation with 'AI' strikes (only?) me as another example of a faux revolution. I'm trying to figure out if I'm too familiar with machine learning, too dumb to understand, or just read too much Asimov as a kid (I expect more). What changed? From where I sit, machine learning is a decent solution for some well-defined problems. As a solution to more general problems (self-driving, for example), it is more like fusion - always 20 years in the future. ChatGPT (and ilk) are amusing, but ultimately not as revolutionary as the ball-point pen. I watch Nvidia stock soar and understand that the current hardware demand is real - I'm just trying to figure out what the end-users are going to do with all of that 'AI.' Just in case I'm wrong: I mean no disrespect to my future AI overlords.
 
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  • #10
Tom.G said:
As P. T. Barnum said, "There's a sucker born every minute."
Or, to quote William Claud Dukenfield (AKA W. C. Fields), "Never give a sucker an even break, and never smarten up a chump."
 

FAQ: Tech: Everything Old Is New Again

What is the concept of "Tech: Everything Old Is New Again"?

The concept refers to the idea that technology often cycles back to older ideas or trends, repackaging them in a new and innovative way. This can be seen in various industries, such as fashion, music, and design.

Can you provide examples of how old technology is being reintroduced in modern times?

One example is the resurgence of vinyl records in the music industry, despite the dominance of digital streaming. Another example is the revival of retro video games and consoles, appealing to nostalgic gamers while incorporating modern features.

What are the benefits of incorporating old technology into new innovations?

By integrating old technology into new innovations, developers can leverage existing knowledge and resources to create unique and hybrid products. This can also appeal to consumers who appreciate the blend of nostalgia and modern functionality.

How does the concept of "Tech: Everything Old Is New Again" impact technological advancements?

This concept can influence the direction of technological advancements by encouraging a balance between innovation and tradition. It can also spark creativity and experimentation, leading to unexpected breakthroughs in various fields.

What are some potential challenges or limitations of reintroducing old technology in modern contexts?

One challenge is ensuring compatibility and integration with current systems and standards. Additionally, there may be concerns regarding the reliability, security, and sustainability of older technologies when used in contemporary applications.

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