\n
It also carries obvious risk: He\u2019s trusting that machines will be able to determine what is true, what is newsworthy, and what won\u2019t get him sued. One of his agents runs an analysis on the legal risk a story poses and assigns it a score; he doesn\u2019t publish anything deemed too dangerous.<\/p>\n
He isn\u2019t the only person running this type of exercise. Dakota Carrasco, a BlackRock portfolio analyst, runs an \u201cagentic newsroom\u201d called The Dissent in his spare time. Like RuntimeWire, The Dissent is a one-man, many-bot operation with a shoestring budget. Its primary San Francisco-focused site costs under $1,000 a month to run, Carrasco says. Unlike Merket, who bylines every RuntimeWire story, Carrasco doesn\u2019t publish the writing under his name, instead staying behind the scenes while his \u201cnewsroom\u201d runs.<\/p>\n
Since launching in March, he has created a number of personalities for his synthetic journalists. City Hall beat reporter Bex Connolly, for example, is \u201cskeptical without being snide,\u201d while \u201csports degenerate\u201d Sal Moreno delivers Giants news with \u201cno bro-science, no Rogan-style credulity, no right-coded grift.\u201d His operation is focused on aggregation, though it\u2019s not as dialed in to honoring citation norms\u2014the bot reporters tend to mention where they sourced their information but without hyperlinks. (\u201cI\u2019m trying to work on that,\u201d Carrasco promises.)<\/p>\n
Northwestern professor Nicholas Diakopoulos, who runs the university\u2019s Computational Journalism Lab, sees this as an \u201cexperimental phase\u201d for media startups fueled by generative AI tools. \u201cIt’s not yet clear to me that there’s much audience for these AI-agent-written news sites,\u201d he says. He\u2019s also skeptical that mainstream journalists, who like to maintain control over the wording and framing of their stories to ensure integrity, legality, and accuracy, would hand the reins over to AI agents so freely.<\/p>\n
What Diakopoulous has observed already is that when AI chatbots go looking for sources, they frequently pull up AI-generated articles. In a forthcoming paper, Diakopoulous and a colleague found that AI tools like ChatGPT and Claude surfaced AI-written sources 16 percent of the time when they tested it across four different topics. AI\u2019s willingness to pull synthetic writing may help AI newsrooms find readers, he suspects: \u201cThat could be one way in which some of this material finds a human audience.\u201d<\/p>\n
Pete Pachal, the founder of a newsletter and podcast about generative AI and the media, has doubts that an AI newsroom could yield certain types of reporting that relies on old-fashioned sourcing. \u201cI just don\u2019t see that happening,\u201d he says. \u201cCultivating the trust of a source, I do think that\u2019s going to be human-only.\u201d But for certain types of journalism, particularly sourcing scoops from large datasets or even blogging about a live event like an Apple product launch, he sees these projects as a \u201cnatural evolution\u201d in how these tools are used. \u201cHonestly, it feels a bit inevitable,\u201d he says.<\/p>\n
Is it actually journalism, though? \u201cI am trying to follow journalistic ethics and standards,\u201d Merket says. He says he contacts companies and individuals referenced in the stories for comment prior to publication, links out to sources when he aggregates news, and issues corrections if he gets the facts wrong. (So far, there have been three.) Sometimes he speaks like a reporter, too: \u201cThis weekend, I got two scoops up I was really excited about.\u201d Other times, though, he\u2019s more clearly in Silicon Valley mode. He told me a story about how his AI agents had found a few actual scoops about startups by trawling company websites and that he\u2019d retracted the stories after the companies named asked him to do so\u2014not because they were inaccurate, but as a favor. \u201cFounder to founder, it\u2019s like, I get it,\u201d Merket says.<\/p>\n<\/div>\n
\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"It also carries obvious risk: He\u2019s trusting that machines will be able to determine what is true, what is newsworthy, and what won\u2019t get him sued. One of his agents runs an analysis on the legal risk a story poses and assigns it a score; he doesn\u2019t publish anything deemed too dangerous. He isn\u2019t the […]<\/p>\n","protected":false},"author":1,"featured_media":5364,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[89,83,250,350,483,46,78],"class_list":["post-5363","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-agentic-ai","tag-artificial-intelligence","tag-cybersecurity","tag-hacking","tag-journalism","tag-news","tag-openai"],"yoast_head":"\n
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