I’ve already posted this here, but it’s just perennially relevant: The Anti-Labor Propaganda Masquerading as Science.
L. O. L.
Seriously though, reasonable discussion of its usefulness aside, how can’t people see that outrageous statements like that without any scientific or practical backing, clearly made to inspire devotion and/or fear, keeping the hype and the money and resources drain on, are the telltale of a tech hype?
I honestly think tech hype cycles don’t work if people can recognise them as hype cycles.
I think there are a lot of business majors out there with access to a lot of capital and absolutely no technical expertise making decisions about where all the money should go in tech, and experts talking about the limitations of that technology do not reach their ears.
Edit: on reflection I think the hyoe cycles works even if people know it’s a cycle, because the investment game here is to pump up the stock, knowing that the bubble is growing, then dump before the bubble bursts. The investment market makes hype cycles happen regardless of whether the tech is vaporware or not, and that’s bad for tech in general.
While statements like that are needless fear mongering, any jobs they do replace in the long term are at least making the economy more efficient, in the same sense as computers did. It’s unfortunate for anyone’s job to become redundant, but technology shouldn’t be delayed or avoided for that reason alone.
This is the best summary I could come up with:
International Monetary Fund managing director Dr Kristalina Georgieva has warned of a “tsunami” hitting the global labor market as businesses adopt AI technologies.
Professor Thomas Jordan, chairman of the Governing Board of the Swiss National Bank, also participated in the discussion on May 13, 2024.
In a Reuters report, Georgieva was quoted as saying: “It could bring [a] tremendous increase in productivity if we manage it well, but it can also lead to more misinformation and, of course, more inequality in our society.”
It is difficult to avoid AI in the world of technology these days, although it remains important to understand what it can and can’t do, and the training that lies behind its so-called “intelligence.”
He said: “Because artificial intelligence can weave information and rules with acquired experience to support decision-making, it can enable a larger set of workers equipped with necessary foundational training to perform higher-stakes decision-making tasks currently arrogated to elite experts, such as doctors, lawyers, software engineers, and college professors.”
Microsoft has added Copilot throughout its product lineup, and OpenAI showed off its latest multi-modal machine learning model earlier this week in the form of GPT-4o.
The original article contains 424 words, the summary contains 191 words. Saved 55%. I’m a bot and I’m open source!
