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Trumps Social Media Return — and What Else to Expect in 2022

Trumps Social Media Return — and What Else to Expect in 2022
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Biden should, for example, push hard for the Klobuchar bill, assembled with Senator Chuck Grassley, which would put the brakes on Big Tech platforms preferencing their own products at the expense of others’. This ought to be an obvious thing to do, right?

That’s why I expect that no significant laws will be passed to dampen tech’s reign and I am even less confident on new stuff heading down the pike. I, too, would like to see where the metaverse, blockchain and Web3 lead us, but it is long past time to clamp down on the excesses of Big Tech.

You’re reading: Donald trump social media

The next few months offer an opportunity for regulators like Khan to make some bold moves, like suing to stop a merger or going back and trying to unwind one. You can’t win if you don’t play, right?

Hot view: Introducing Weekly Karma: Earn Additional Rewards For Advancing Crypto

A few more quick predictions for the coming year:

  • Apple will vault ahead of Facebook in virtual reality. There’s a new Oculus headset due, but expect Apple to be the one that creates an experience that’s appealing to regular folks. VR takes quality hardware, which is firmly in Apple’s wheelhouse. But for true mass adoption, prices have to come down.

  • GAS — Gyms as Software. Augmented, rather than virtual, reality will emerge as a major outlet for fitness buffs and regular Joes trying to keep in shape. That said, I have started going to the analog gym again and, refreshingly, use almost no tech at all.

Readmore: How Old Is Donald Trump and When Is His Birthday?

Lastly, it turns out you can use language tech called GPT-3 to create AI versions of prominent podcasters. “Using famous quotes, podcast transcripts and GPT-3, we’ve created AI versions of 10 popular podcast hosts,” like yours truly, according to the folks behind the Shuffle app. Welp, nice knowing ya.

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4 Questions

I caught up with Emily Oster, a Brown University professor of economics and public policy, and the author of several books, including her most recent, “The Family Firm: A Data-Driven Guide to Better Decision Making in the Early School Years.” She gave her thoughts on people’s risk assessment capabilities and the pandemic. I’ve edited her answers.

Everyone now fancies themselves an amateur risk assessment analyst. What tips can you offer to make them better at it, so they don’t drive me — and others — crazy?

I am not sure how to keep people from driving us crazy! The biggest mistake I think people make in analyzing risk is that it’s very hard to understand small probabilities. Humans are just really poor at this. We think of 1-in-100 and 1-in-1,000 and 1-in-10,000 as all kind of similar and small, whereas in reality those are totally different. But since our experience doesn’t give us access to a lot of 1-in-10,000 probability events, it’s not hard to see why we can’t really understand them. The best way I have found to think about small probability events is to find a comparison event. 1-in-30,000 is the risk of an emergency room visit in a given year because of a blanket injury, for example. Another good way to think about it is: “If I took this risk every day, how long would it take before the bad thing would happen?” For a 1-in-10,000 event, this is 27 years.

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