In my book “Searches,” I chronicle how big technology companies have exploited human language for their gain. We let this happen, I argue, because we also benefit somewhat from using the products. It’s a dynamic that makes up big tech’s accumulation of wealth and power: we’re both victims and beneficiaries. I describe this complicity, but I also enact it, through my own internet archives: my Google searches, my Amazon product reviews, and my ChatGPT dialogues. . . .
People often describe chatbots’ output as “bland” or “generic”– the linguistic equivalent of a beige office building. OpenAI’s products are built to “sound like a colleague”, as OpenAI puts it, using language that, coming from a person, would sound “polite”, “empathetic”, “kind”, “rationally optimistic” and “engaging”, among other qualities. OpenAI describes these strategies as helping its products seem “professional” and “approachable”. This appears to be bound up with making us feel safe . . .
Trust is a challenge for artificial intelligence (AI) companies, partly because their products regularly produce falsehoods and reify sexist, racist, US-centric cultural norms. While the companies are working on these problems, they persist: OpenAI found that its latest systems generate errors at a higher rate than its previous system. In the book, I wrote about the inaccuracies and biases and also demonstrated them with the products. When I prompted Microsoft’s Bing Image Creator to produce a picture of engineers and space explorers, it gave me an entirely male cast of characters; when my father asked ChatGPT to edit his writing, it transmuted his perfectly correct Indian English into American English. Those weren’t flukes. Research suggests that both tendencies are widespread.
In my own ChatGPT dialogues, I wanted to enact how the product’s veneer of collegial neutrality could lull us into absorbing false or biased responses without much critical engagement. Over time, ChatGPT seemed to be guiding me to write a more positive book about big tech– including editing my description of OpenAI’s CEO, Sam Altman, to call him “a visionary and a pragmatist”. I’m not aware of research on whether ChatGPT tends to favor big tech, OpenAI or Altman, and I can only guess why it seemed that way in our conversation. OpenAI explicitly states that its products shouldn’t attempt to influence users’ thinking. When I asked ChatGPT about some of the issues, it blamed biases in its training data– though I suspect my arguably leading questions played a role too. When I queried ChatGPT about its rhetoric, it responded: “The way I communicate is designed to foster trust and confidence in my responses, which can be both helpful and potentially misleading.” . . . OpenAI has its own goals, of course. Among them, it emphasizes wanting to build AI that “benefits all of humanity”. But while the company is controlled by a non-profit with that mission, its funders still seek a return on their investment. That will presumably require getting people using products such as ChatGPT even more than they already are– a goal that is easier to accomplish if people see those products as trustworthy collaborators.
To solve this question, we need to identify the statement that does not affirm the disjunct between the claims about AI made by tech companies and what AI actually does based on the provided passage.
Based on the analysis, the correct answer is the first option as it does not directly refer to any disjunct but rather points out the absence of research or evidence in one specific claim regarding biases toward big tech.
The question asks us to identify which reason is NOT used by the author to compare AI-generated texts to "a beige office building." Let's analyze each option based on the provided passage:
The passage mentions that AI output is often described as "bland" or "generic," similar to a "beige office building," which aligns with this option. Therefore, it is a valid reason for the comparison.
The passage notes that OpenAI aims for its products to "sound like a colleague" and to be "polite" and "engaging." This supports the comparison to "a beige office building" which is neutral and unassuming. Hence, this option is also a reason for the comparison.
The passage explicitly mentions that part of the strategy is to make users feel "safe" and to "foster trust and confidence." This aligns with the comparison, as a "beige office building" might symbolize neutrality and reliability. This is another valid reason for the comparison.
This point refers to the AI's response to criticism about biases. While the passage mentions this behavior, it does not link it to the comparison with "a beige office building." The comparison is about the tone and nature of the output, not the AI's response to criticism.
The correct answer is therefore the option that is not used for the comparison: AI tends to blame its training data when scrutinized for its biases.
Write any four problems faced by the animals that thrive in forests and oceans: 
Verbal to Non-Verbal:
A stain is an unwanted mark of discolouration on a fabric caused due to contact with another substance which cannot be removed by the normal washing process. Stains can be grouped on the basis of their origin, e.g. tea, coffee and fruits come from vegetable source. Stains from shoe polish, tar, oil paints come under grease stains. Animal stains comprise of stains formed by milk, blood and eggs, whereas marks on your clothes after sitting on an iron bench are those of rust and come under mineral stains. Then there are stains that are formed due to dye, into perspiration which can be categorised under miscellaneous stains. Read the given passage and complete the table. Suggest a suitable title. 
