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This year in tech felt like a simulation – TechCrunch

This year in tech, too much happened and very little of it made sense. It was like we were being controlled by a random number generator that would dictate the whims of the tech industry, leading to multiple “biggest news stories of the year” happening over the course of a month, all completely disconnected from one another.
I can’t stop thinking about a very good tweet I saw last month, which encapsulated the absurdity of the year — it was something along the lines of, “Meta laid off 11,000 people and it’s only the third biggest tech story of the week.” Normally, a social media giant laying off 13% of its workforce would easily be the week’s top story, but this was the moment when FTX went bankrupt and everyone was impersonating corporations on Twitter because somehow Elon Musk didn’t think through how things would go horribly wrong if anyone could buy a blue check. Oh, good times.
When I say it feels like we’re living in a simulation, what I mean is that sometimes, I hear about the latest tech news and feel like someone threw some words in a hat, picked a few, and tried to connect the dots. Of course, that’s not what’s really happening. But in January, would you have believed me if I told you that Twitter owner Elon Musk polled users to decide that he would unban Donald Trump?
These absurd events in tech have consequences. Crypto collapses like FTX’s bankruptcy and the UST scandal have harmed actual people who invested significant sums of money into something that they believed to be a good investment. It’s funny to think about how you’d react ten years ago if someone told you that Meta (oh yeah, that’s what Facebook is called now) is losing billions of dollars every quarter to build virtual reality technology that no one seems to want. But those management decisions are not a joke for the employees who lost their jobs because of those choices.
Where does this leave us? We’re in a moment in tech history where nothing is too absurd to be possible. That’s both inspiring and horrifying. It’s possible for a team of Amazon fulfillment center workers in Staten Island to win a union election, successfully advocating for themselves in the face of tremendous adversity. It’s also possible for Elon Musk to buy Twitter for $44 billion.
AI technology like Stable Diffusion and ChatGPT encapsulate this fragile balance between innovation and horror. You can make beautiful artworks in seconds, and you can also endanger the livelihoods of working artists. You can ask an AI chatbot to teach you about history, but there’s no way to know if its response is factually accurate (unless you do further research, in which case, you could’ve just done your own research to begin with).
But perhaps part of the reason why AI generators have garnered such mainstream appeal is that they almost feel natural to us. This year’s tech news feels so bizarre that they might as well have been generated by ChatGPT.
Or maybe reality is actually stranger than anything an AI could come up with. I asked ChatGPT to write some headlines about tech news for me, and it came up with these snoozers (in addition to some factually inaccurate headlines, which I omitted for the sake of journalism):
Pretty boring! Here are some actual real things that happened in tech this year:
These are strange times. If the rules are made up and the points don’t matter, let’s at least hope that if the absurdity continues into 2023, the tech news is more amusing than harmful. I want more Chris Pratt voicing live action Mario, and fewer tech CEOs being sentenced for fraud. Is that too much to ask?
Persistent Jack Sweeney brings back @ElonJet (but delayed) to Twitter

A brief history of diffusion, the tech at the heart of modern image-generating AI

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