{"id":603095,"date":"2023-01-31T07:49:25","date_gmt":"2023-01-31T13:49:25","guid":{"rendered":"https:\/\/news.sellorbuyhomefast.com\/index.php\/2023\/01\/31\/could-chatgpt-do-my-job\/"},"modified":"2023-01-31T07:49:25","modified_gmt":"2023-01-31T13:49:25","slug":"could-chatgpt-do-my-job","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2023\/01\/31\/could-chatgpt-do-my-job\/","title":{"rendered":"Could ChatGPT do my job?"},"content":{"rendered":"
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So far, newsrooms have pursued two very different approaches to integrating the buzziest new AI tool, ChatGPT, into their work. Tech news site CNET secretly started using ChatGPT to write entire articles, only for the experiment to go up in flames. It ultimately had to issue corrections amid accusations of plagiarism. Buzzfeed, on the other hand, has taken a more careful, measured approach. Its leaders want to use\u00a0ChatGPT to generate quiz answers<\/a>, guided by journalists who create the topics and questions.\u00a0<\/p>\n

You can boil these stories down to a fundamental question many industries now face: How much control should we give to an AI system? CNET gave too much and ended up in an embarrassing mess, whereas Buzzfeed\u2019s more cautious (and transparent) approach of using ChatGPT as a productivity tool has been generally well received, and led its stock price to surge.\u00a0<\/p>\n

But here\u2019s the dirty secret of journalism:<\/strong>\u00a0a surprisingly large amount of it could be automated, says Charlie Beckett, a professor at the London School of Economics who runs a program called JournalismAI. Journalists routinely reuse text from news agencies and steal ideas for stories and sources from competitors. It makes perfect sense for newsrooms to explore how new technologies could help them make these processes more efficient.\u00a0<\/p>\n

\u201cThe idea that journalism is this blossoming flower bed of originality and creativity is absolute rubbish,\u201d Beckett says. (Ouch!)\u00a0<\/p>\n

It\u2019s not necessarily a bad thing<\/strong>\u00a0if we can outsource some of the boring and repetitive parts of journalism to AI. In fact, it could free journalists up to do more creative and important work.\u00a0<\/p>\n

One good\u00a0example<\/a>\u00a0I\u2019ve seen of this is using ChatGPT to repackage newswire text into the \u201csmart brevity\u201d format used by Axios. The chatbot seems to do a good enough job of it, and I can imagine that any journalist in charge of imposing that format will be happy to have time to do something more fun.\u00a0<\/p>\n

That\u2019s just one example of how newsrooms might successfully use AI. AI can also help journalists summarize long pieces of text, comb through data sets, or come up with ideas for headlines. In the process of writing this newsletter, I\u2019ve used several AI tools myself, such as autocomplete in word processing and transcribing audio interviews.\u00a0\u00a0<\/p>\n

But there are some major concerns with using AI in newsrooms.\u00a0<\/strong>A major one is privacy, especially around sensitive stories where it\u2019s vital to protect your source\u2019s identity. This is a problem journalists at MIT Technology Review have bumped into with audio transcription services, and sadly the only way around it is to transcribe sensitive interviews manually.<\/p>\n<\/p><\/div>\n

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Journalists should also exercise caution around inputting sensitive material into ChatGPT. We have no idea how its creator, OpenAI, handles data fed to the bot, and it is likely our inputs are being plowed right back into training the model, which means they could potentially be regurgitated to people using it in the future. Companies are already wising up to this: a lawyer for Amazon has\u00a0reportedly<\/a>\u00a0warned employees against using ChatGPT on internal company documents.\u00a0<\/p>\n

ChatGPT is also a notorious bullshitter,<\/strong>\u00a0as CNET found out the hard way. AI language models work by predicting the next word, but they have no knowledge of meaning or context. They spew falsehoods all the time. That means everything they generate has to be carefully double-checked. After a while, it feels less time-consuming to just write that article yourself.<\/p>\n

New report: Generative AI in industrial design and engineering<\/strong>
Generative AI\u2014the hottest technology this year\u2014is transforming entire sectors, from journalism and drug design to industrial design and engineering. It\u2019ll be more important than ever for leaders in those industries to stay ahead.\u00a0\u00a0We\u2019ve got you\u00a0covered. A new research report from MIT Technology Review highlights the opportunities\u2014and potential pitfalls\u2014 of this new technology for industrial design and engineering.\u00a0<\/p>\n

The report includes two case studies from leading industrial and engineering companies that are already applying generative AI to their work\u2014and a ton of takeaways and best practices from industry leaders. It is\u00a0available now for $195<\/a>.<\/p>\n

Deeper Learning<\/h3>\n

People are already using ChatGPT to create workout plans<\/strong><\/p>\n

Some exercise nuts have started using ChatGPT as a proxy personal trainer. My colleague Rhiannon Williams asked the chatbot to come up with a marathon training program for her as part of a piece delving into whether AI might change the way we work out.\u00a0\u00a0You can read how it went for her here.\u00a0<\/a><\/p>\n

Sweat it out:<\/strong>\u00a0This story is not only a fun read, but a reminder that we trust AI models at our peril. As Rhiannon points out, the AI has no idea what it is like to actually exercise, and it often offers up routines that are efficient but boring. She concluded that ChatGPT might best be treated as a fun way of spicing up a workout regime that\u2019s started to feel a bit stale, or as a way to find exercises you might not have thought of yourself.<\/p>\n

Bits and Bytes<\/h3>\n

A watermark for chatbots can expose text written by an AI<\/strong>
Hidden patterns buried in AI-generated texts could help us tell whether the words we\u2019re reading weren\u2019t written by a human. Among other things, this could help teachers trying to spot students who\u2019ve outsourced writing their essays to AI. (MIT Technology Review<\/a>)<\/p>\n<\/p><\/div>\n

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OpenAI is dependent on Microsoft to keep ChatGPT running<\/strong>
The creator of ChatGPT needs billions of dollars a day to run it. That\u2019s the problem with these huge models\u2014this kind of computing power is accessible only to companies with the deepest pockets. (Bloomberg<\/a>)\u00a0\u00a0<\/p>\n

Meta is embracing AI to help drive advertising engagement\u00a0<\/strong>
Meta is betting on integrating AI technology deeper into its products to drive advertising revenue and engagement. The company has one of the AI industry\u2019s biggest labs, and news like this makes me wonder what this shift toward money-making AI is going to do to AI development. Is AI research really destined to be just a vehicle to bring in advertising money? (The Wall Street Journal<\/a>)\u00a0<\/p>\n

How will Google solve its AI conundrum?\u00a0<\/strong>
Google has cutting-edge AI language models but is reluctant to use them because of the massive reputational risk that comes with integrating the tech into online search. Amid growing pressure from OpenAI and Microsoft, it is faced with a conundrum: Does it release a competing product and risk a backlash over harmful search results, or risk losing out on the latest wave of development?\u00a0 (The Financial Times<\/a>)\u00a0<\/svg> <\/p>\n<\/div>\n

Read More<\/a>
\n Melissa Heikkil\u00e4<\/p>\n","protected":false},"excerpt":{"rendered":"

So far, newsrooms have pursued two very different approaches to integrating the buzziest new AI tool, ChatGPT, into their work. Tech news site CNET secretly started using ChatGPT to write entire articles, only for the experiment to go up in flames. It ultimately had to issue corrections amid accusations of plagiarism. Buzzfeed, on the other<\/p>\n","protected":false},"author":1,"featured_media":603096,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[116428,1812,46],"tags":[],"class_list":{"0":"post-603095","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-chatgpt","8":"category-could","9":"category-technology"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/603095","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=603095"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/603095\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/603096"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=603095"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=603095"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=603095"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}