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"Do the potential paying customers for these large models add up to enough money to keep the servers on? That's the 13 trillion dollar question, and the answer is the difference between WorldCom and Enron, or dotcoms and cryptocurrency. Though I don't have a certain answer to this question, I am skeptical. AI decision support is potentially valuable to practitioners. Accountants might value an AI tool's ability to draft a tax return. Radiologists might value the AI's guess about whether an X-ray suggests a cancerous mass. But with AIs' tendency to "hallucinate" and confabulate, there's an increasing recognition that these AI judgments require a "human in the loop" to carefully review their judgments. In other words, an AI-supported radiologist should spend exactly the same amount of time considering your X-ray, and then see if the AI agrees with their judgment, and, if not, they should take a closer look. AI should make radiology more expensive, in order to make it more accurate. But that's not the AI business model. AI pitchmen are explicit on this score: The purpose of AI, the source of its value, is its capacity to increase productivity, which is to say, it should allow workers to do more, which will allow their bosses to fire some of them, or get each one to do more work in the same time, or both. The entire investor case for AI is "companies will buy our products so they can do more with less." It's not "business custom­ers will buy our products so their products will cost more to make, but will be of higher quality.""

" The machine's doing the prediction, making the distinct role of judgment in decision making clearer. So as the value of human prediction falls, the value of human judgment goes up because AI doesn't do judgment-it can only make predictions and then hand them off to a human to use his or her judgment to determine what to do with those predictions."

"As we move towards this collective humanity mindset, the idea of withholding data to make ourselves feel safer becomes a moral conundrum. If our value is most derived from the data we create for AI to process and discover insights, to withhold that means we are detracting value from the whole, that we are committing something morally wrong. We're exchanging data privacy for a different kind of privacy and astonishing growth, which seems to me a pretty fair trade."

"Employers argue they make considerable savings on real estate when workers shift from office to home work. However, these savings result from passing costs on to workers. Unless employees are fully compensated, this could become a variant of what urban theorist Andy Merrifield calls parasitic capitalism, whereby corporate profits increasingly rely on extracting value from the public - and now personal - realm, rather than on generating new value."

"In the last year or so, though, the rise of AI has upended that equation. For many publishers and platforms, having their data crawled for training data felt less like trading and more like stealing. "What we found pretty quickly with the AI companies," Stubblebine says, "is not only was it not an exchange of value, we're getting nothing in return. Literally zero." When Stubblebine announced last fall that Medium would be blocking AI crawlers, he wrote that "AI companies have leached value from writers in order to spam Internet readers." "

"We submitted the grant on time. The next day, while speaking to a friend, I told him, "This week, I wrote my first ChatGPT grant." He replied that he had been doing it for months and that many other scientists are doing the same. A 2023 Nature survey of 1,600 researchers found that more than 25% use AI to help them write manuscripts and that more than 15% use the technology to help them write grant proposals. Some people might see the use of ChatGPT in writing grant proposals as cheating, but it actually highlights a much bigger problem: what is the point of asking scientists to write documents that can be easily created with AI? What value are we adding? Perhaps it is time for funding bodies to rethink their application processes."

""Essentially what this is doing is flattening descriptions of, say, 'an Indian person' or 'a Nigerian house' into particular stereotypes which could be viewed in a negative light," Amba Kak, executive director of the AI Now Institute, a U.S.-based policy research organization, told Rest of World. Even stereotypes that are not inherently negative, she said, are still stereotypes: They reflect a particular value judgment, and a winnowing of diversity. Midjourney did not respond to multiple requests for an interview or comment for this story."

"Scott is interested in conserving the stuff we have forgotten has value. Increasingly, our culture plays itself out on the internet, yet even now we have a tendency to view what we do on there as trivial. Or we make the mistake of assuming that digital means for ever."

"If humans want to continue to add value to the economy, they must augment their capabilities through a "merger of biological intelligence and machine intelligence". If we fail to do this, we'll risk becoming "house cats" to artificial intelligence."

This is the problem with a database with such economic value!

"(And, in fact, anonymity apps have brought positives along with the negatives. Not long ago, a post on Secret reported that Google had acquired the poster's five-person company and had hired everyone but her. Later posts revealed that she was the only female at the company and had been there since it was founded. The thread became the talk of Silicon Valley, generating a lively debate about suppressed sexism in the start-up community. The poster's ability to remain anonymous was key to this information coming out. She could stand up to power, speak without embarrassment, and avoid alienating potential employers who might take a dim view of her controversial statements. That's exactly why the First Amendment protects anonymous speech, and that's why the value of anonymity apps like Yik Yak shouldn't be summarily dismissed. "

"Jack Poulson was a senior research scientist at Google whose work on machine learning work was used to improve Google's search results; now he's quit the company over its Project Dragonfly, a once-secret plan to launch a censored Chinese search engine; Poulson called the move a "forfeiture of our values." Tech companies find it hard to qualify skilled engineers at any price, and machine learning specialists are especially prize, commanding salaries of $1MM/year or more. "

"he outlines three sources of dysfunction - 'deliberate, malicious intent, such as state-sponsored hacking and attacks, criminal behaviour, and online harassment'; 'system design' which has created 'perverse incentives where user value is sacrificed, such as ad-based revenue models that commercially reward clickbait'; and the 'viral spread of misinformation'. he also calls attention to the 'unintended negative consequences' of the web, which he said had led to 'the outraged and polarised tone and quality of online discourse'."

"The study by US-based thinktank the Technology Policy Institute (TPI) is the first that attempts to quantify the value of online privacy and data. It assessed how much privacy is worth in six countries by looking at the habits of people in the United States, Germany, Mexico, Brazil, Columbia and Argentina."

""Every generation is having fun with it," said Jon Alexis, partner in the fast-casual Malibu Poke in Dallas, which opened Nov. 28 with three kiosks that allow guests to save their order history and access them again through facial recognition. "It has exceeded my expectations.""

"On paper, making human beings behave like simple machines might deliver greater efficiency. But modern-day Taylorism threatens something that those kinds of market analyses fail to capture: the value of being human."

"If the eCNY is successful, it will give the central bank new powers, including novel types of monetary policy to help the economy grow. In one possibility that economists have discussed, a central bank could program its digital currency to slowly lose value so that consumers are encouraged to spend it immediately."

"White-collar workers, armed with college degrees and specialized training, once felt relatively safe from automation. But recent advances in A.I. and machine learning have created algorithms capable of outperforming doctors, lawyers and bankers at certain parts of their jobs. And as bots learn to do higher-value tasks, they are climbing the corporate ladder."

"And lest you think we are dealing in long-term abstractions- this devastation has tangible, externalized cost; a recent study out of the University of New Mexico estimated that in 2018 every $1 of Bitcoin value was responsible for $0.49 in health and climate damages in the US, costs that are borne by those who will, for the most part, never see any return from cryptocurrency mining whatsoever."

"Bitcoin is stored on software known as a digital wallet that is secured through encryption. A password is used as a decryption key to open the wallet and access the bitcoin. When a password is lost the user cannot open the wallet. The fraudster had been sentenced to more than two years in jail for covertly installing software on other computers to harness their power to "mine" or produce bitcoin. When he went behind bars, his bitcoin stash would have been worth a fraction of the current value. The price of bitcoin has surged over the past year, hitting a record high of US$42,000 in January. It was trading at US$37,577 on Friday, according to cryptocurrency and blockchain website Coindesk."