The Harvard Business Review recently documented what it calls “workslop”: AI-generated work that looks polished but requires someone downstream to fix. When that work is a memo, it is annoying. When it is a cryptographic library, it is catastrophic. As AI accelerates the pace of software production, the verification gap does not shrink. It widens. Engineers stop understanding what their systems do. AI outsources not just the writing but the thinking.
The Internet I grew up with was always pretty casual about authentication: as long as you were willing to take some basic steps to prevent abuse (make an account with a pseudonym, or just refrain from spamming), many sites seemed happy to allow somewhat-anonymous usage. Over the past couple of years this pattern has changed. In part this is because sites like to collect data, and knowing your identity makes you more lucrative as an advertising target. However a more recent driver of this change is the push for legal age verification. Newly minted laws in 25 U.S. states and at least a dozen countries demand that site operators verify the age of their users before displaying “inappropriate” content. While most of these laws were designed to tackle pornography, but (as many civil liberties folks warned) adult and adult-ajacent content is on almost any user-driven site. This means that age-verification checks are now popping up on social media websites, like Facebook, BlueSky, X and Discord and even encyclopedias aren’t safe: for example, Wikipedia is slowly losing its fight against the U.K.’s Online Safety Bill.。业内人士推荐咪咕体育直播在线免费看作为进阶阅读
The SDSO submitted plans to the council earlier this year, and they have now been given the go-ahead.，详情可参考体育直播
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