“Artificial intelligence, if we are clean, there is one thing: a luggage bill that you are being sold for for someone’s pocket.”
It is the heart of the argument that the expert linguistics Emily Binder And economists Alex Hannah Make their new book Ai Who. It is a useful leader for anyone whose life raises questions about the technologies sold as artificial intelligence and the true utility of anyone, which is most of us. Binder is a professor at the University of Washington, who was named one of the most influential people in Time Magazine in artificial intelligence, and is the Director of Hannah Unplugged Research. Dedicated AI Research Institute And a former member of the moral AI team in Google.
At the end of 2022, the Chattagpat blast launched a new hype cycle in AI. The hype, as the authors described it, is the “collective” of technology that you believe that you should not “lest you entertainment or happiness, financial rewards, returns to investment, or losing market share.” But this is not the first time, nor the last, when the Machine Learning and AI think scholars, government leaders and regular people have been interesting and upset.
Binder and Hannah return the machine learning roots in the 1950s, when mathematician John McCarthi developed the term artificial intelligence. It was in a period when the United States wanted to fund the projects that would help the country gain any kind of military, ideologically and technically on the Soviet Union. “He did not release the full cloth from Zeus’s head or anything,” Hina told CNET. It has a long history. ” “This is definitely not the first hype cycle, with the quote, illegal, AI.”
Today’s Hep Cycle has investigated billions of dollars in investing billions of dollars in Tech Giants such as Open AI and Tech Giants such as Meta, Google and Microsoft. The result is clear, with all the latest phones, laptops and software updates that are wet in AI-washing. And there is no sign that AI’s research and development will slow down, thanks to the growing stimulus of defeating China in the development of AI. Not really the first hype cycle.
Of course, in 2025, the Generative AI Eliza is far more developed than a psychotherapy chat boot, which first surrounded scientists in the 1970s. Today’s business leaders and workers are submerged with a hype, which is heavy dose of fumo and seemingly complex but often misused. Listening to tech leaders and AI enthusiasts, it seems that AI will take your job to save your company’s money. But the authors argue that neither is fully likely, which is why this is because the hype must be recognized and broken.
So how do we recognize the AI ​​hype? According to Binder and Hannah, these are the signs that we share below. In his book, the authors present more questions about strategies and strategies for AI hype, which is Out now In the United States
Look at the language that makes AI human
Anthropomorphizing, or the process of giving a lifeless item a human being, is a huge part of the construction of AI hype. An example of such a language can be found when AI companies say their chat boats can now “see” and “think.”
These can be useful comparisons when trying to describe the ability of AI programs or deep reasoning AI models that identify new objects, but they may also be misleading. AI chat boats are not able to think because they have no brains. Even the idea of ​​nerve nets, Hina noted in our interview and in the book, is based on human understanding about neurons since the 1950s, not in reality how neurons work, but it can fool us to believe that the brain is behind the machine.
This belief is something that we are because we follow the language as a human being. “We are conditioned to imagine that we see that there is a mind behind this text, even when we know that it was developed by AI,” Binder said. Binder added, “We create a model in our minds and translate the language as to who the speaker was.”
In these models, we use our knowledge about this person to create meaning, not only using their words. “So when we fight artificial text with something like Chat GPT, we are going to do the same.” “And it is very difficult to remind yourself that the brain is not there. This is the only construction we have developed.”
The authors argue that AI companies try to convince us of their products that they have products like that. It is that it predicts us to explain that AI can replace human beings, whether at work or as creators. We are forced to believe that AI silver built -in for complex issues in important industries like health care and government services can be AI silver built -in.
But more often, the authors say, AI does not use to fix anything. The AI ​​is sold with a performance target, but AI services replace black box machines instead of qualified workers that require low -pay contracts or large quantities of bibbasing from Jig workers. As Hina said in our interview, “Ai is not going to get your job, but it will reduce your job.”
Be suspicious of the phrase ‘super intelligence’
If a person cannot do anything, you should be careful with the claims that an AI can do it. “Super human intelligence, or super intelligence, is a very dangerous turning point in the phrase, because it understands that some technology will make humans excessive.” “In some domains, like a scale pattern, computers are very good in it. But if one thinks that there will be a super human poem, or a super human idea of ​​research or science, this is a clear hype.” “And we do not talk about airplanes about super -human flights or super human measuring as rulers, it looks like it’s just in the AI, which comes out.”
When people talk about artificial intelligence, the idea of ​​AI “super intelligence” is often revealed. Many CEOs struggle to explain what AGI is, but this is basically the latest AI’s latest form, which is potentially capable of making decisions and handling complex tasks. There is still no evidence that we are present anywhere near the future through AGI, but it is a popular buzzard.
Many of these statements of the AI ​​leaders take traps from science fiction. Both the booster and the drummer-such as Binder and Hina AI’s enthusiasts and people worried about the possibility of harm-rely on science-fi scenes. Booster imagines an AI -driven future society. Dommers mourn the future where AI robots occupy the world and erase humanity.
According to the authors, the rooted thread is an unprecedented belief that AI is more smart and indispensable than humans. “One of the things we see a lot in the conversation, is the idea that the future is scheduled, and this is just a question how fast we get there,” said Binder. “And then it is claimed that this particular technology is a step on this path, and it is all marketing. It is helpful to be able to look behind it.”
Why AI is so popular, part of it is that an independent Functional AI assistant will mean that AI companies are fulfilling their promises of innovation for their investors. Planning for this future – whether it be utopia or dustopia – investors look forward to billions of dollars and acknowledge that they will lose their carbon emission goals. For better or worse, life is not a science fiction. Whenever you see that someone claims their AI product is straightened by a movie, it is a good sign to approach with doubts.
Ask what happens and how the results are evaluated
One of the easiest ways to see through the AI ​​marketing flip is to see and see if the company is showing how it operates. Many AI companies will not tell you which material is used to train their models. But they usually reveal what the company does with your data and sometimes arrogant how their models stand against rivals. Usually you should begin to look at their privacy policies.
One of the high complaints and concerns of creators is how the AI ​​model is trained. There are many cases for the alleged violation of copyright, and there are many concerns over the ability to prejudice and their loss in AI chat boats. “If you want to create a system that is designed to advance things instead of reproducing past oppression, you have to start your data by curing,” said Binder. Hanna said, instead, AI companies “are catching everything that is not nail on the Internet.”
If you are listening to an AI product for the first time, finding one thing in particular is any kind of statistics that highlight its effectiveness. Like many other researchers, Binder and Hannah have called that there is a red flag with no reference. “Whenever someone is selling something to you but not giving you access to how it was evaluated, you are on thin ice,” said Binder.
It can be disappointing and disappointing when AI companies do not show some information about their AI product work and their development. But identifying these holes in their sales pitch can help eliminate the hype, though it is better to get information. Check out more, our full chat GPT dictionary and how to turn off Apple Intelligence.