{"id":203489,"date":"2025-12-25T16:16:13","date_gmt":"2025-12-25T16:16:13","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/203489\/"},"modified":"2025-12-25T16:16:13","modified_gmt":"2025-12-25T16:16:13","slug":"ai-wrapped-the-14-ai-terms-you-couldnt-avoid-in-2025","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/203489\/","title":{"rendered":"AI Wrapped: The 14 AI terms you couldn\u2019t avoid in 2025"},"content":{"rendered":"

The key to R1\u2019s success was distillation, a technique that makes AI models more efficient. It works by getting a bigger model to tutor a smaller model: You run the teacher model on a lot of examples and record the answers, and reward the student model as it copies those responses as closely as possible, so that it gains a compressed version of the teacher\u2019s knowledge.\u00a0\u00a0\u2014Caiwei Chen<\/p>\n

10. Sycophancy \"\" <\/p>\n

As people across the world spend increasing amounts of time\u00a0interacting with chatbots<\/a>\u00a0like ChatGPT, chatbot makers are struggling to work out the kind of tone and \u201cpersonality\u201d the models should adopt. Back in April, OpenAI admitted it\u2019d struck the wrong balance between helpful and sniveling, saying a new update had rendered GPT-4o\u00a0too sycophantic<\/a>. Having it suck up to you isn\u2019t just irritating\u2014it can mislead users by reinforcing their incorrect beliefs and spreading misinformation. So consider this your reminder to take everything\u2014yes, everything\u2014LLMs produce with a pinch of salt. \u2014Rhiannon Williams<\/p>\n

11. Slop \"\" <\/p>\n

If there is one AI-related term that has fully escaped the nerd enclosures and entered public consciousness, it\u2019s \u201cslop.\u201d The word itself is old (think pig feed), but \u201cslop\u201d is now commonly used to refer to low-effort, mass-produced content generated by AI, often optimized for online traffic. A lot of people even use it as a shorthand for any AI-generated content. It has felt inescapable in the past year: We have been marinated in it, from\u00a0fake biographies<\/a>\u00a0to\u00a0shrimp Jesus<\/a>\u00a0images to\u00a0surreal human-animal hybrid<\/a>\u00a0videos. <\/p>\n

But people are also having fun with it. The term\u2019s sardonic flexibility has made it easy for internet users to slap it on all kinds of words as a suffix to describe anything that lacks substance and is absurdly mediocre: think \u201cwork slop\u201d or \u201cfriend slop.\u201d As the hype cycle resets, \u201cslop\u201d marks a cultural reckoning about what we trust, what we value as creative labor, and what it means to be surrounded by stuff that was made for engagement rather than expression.\u00a0\u2014Caiwei Chen<\/p>\n

12. Physical intelligence \"\" <\/p>\n

Did you come across the hypnotizing\u00a0video<\/a>\u00a0from earlier this year of a humanoid robot putting away dishes in a bleak, gray-scale kitchen? That pretty much embodies the idea of physical intelligence: the idea that advancements in AI can help robots better move around the physical world.\u00a0<\/p>\n

It\u2019s true that robots have been able to learn new tasks\u00a0faster<\/a>\u00a0than ever before, everywhere from\u00a0operating rooms<\/a>\u00a0to\u00a0warehouses<\/a>. Self-driving-car companies have seen improvements in how they\u00a0simulate<\/a>\u00a0the roads, too. That said, it\u2019s still wise to be skeptical that AI has revolutionized the field. Consider, for example, that many robots advertised as butlers in your home are doing the majority of their tasks thanks to\u00a0remote operators in the Philippines<\/a>.\u00a0<\/p>\n

The road ahead for physical intelligence is also sure to be weird. Large language models train on text, which is abundant on the internet, but robots learn more from videos of people doing things. That\u2019s why the robot company Figure suggested in September that it would\u00a0pay people<\/a>\u00a0to film themselves in their apartments doing chores. Would you sign up?\u00a0\u2014James O’Donnell<\/p>\n

13. Fair use \"\" <\/p>\n

AI models are trained by devouring millions of words and images across the internet, including copyrighted work by artists and writers. AI companies argue this is \u201cfair use\u201d\u2014a legal doctrine that lets you use copyrighted material without permission if you transform it into something new that doesn\u2019t compete with the original. Courts are starting to weigh in. In June, Anthropic\u2019s training of its AI model Claude on a library of books was ruled fair use because the technology was \u201cexceedingly transformative<\/a>.\u201d <\/p>\n

That same month, Meta scored a\u00a0similar win<\/a>, but only because the authors couldn\u2019t show that the company\u2019s literary buffet cut into their paychecks. As copyright battles brew, some creators are cashing in on the feast. In December, Disney signed a\u00a0splashy deal<\/a>\u00a0with OpenAI to let users of Sora, the AI video platform, generate videos featuring more than 200 characters from Disney’s franchises. Meanwhile, governments around the world are\u00a0rewriting copyright rules<\/a>\u00a0for the content-guzzling machines. Is training AI on copyrighted work fair use? As with any billion-dollar legal question,\u00a0it depends.\u00a0\u2014Michelle Kim<\/p>\n

14.\u00a0GEO \"\" <\/p>\n

Just a few short years ago, an entire industry was built around helping websites rank highly in search results (okay, just in Google). Now search engine optimization (SEO), is giving way to GEO\u2014generative engine optimization\u2014as the AI boom forces brands and businesses to scramble to maximize their visibility in AI, whether that\u2019s in AI-enhanced search results like Google\u2019s\u00a0AI Overviews<\/a>\u00a0or within responses from LLMs. It\u2019s no wonder they\u2019re freaked out. We already know that news companies have experienced a\u00a0colossal drop<\/a>\u00a0in\u00a0search-driven web traffic<\/a>, and AI companies are working on ways to cut out the middleman and allow their users to visit sites from directly within their platforms. It\u2019s time to adapt or die.\u00a0\u2014Rhiannon Williams <\/p>\n","protected":false},"excerpt":{"rendered":"The key to R1\u2019s success was distillation, a technique that makes AI models more efficient. It works by…\n","protected":false},"author":2,"featured_media":203490,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,343,344,85,46,125],"class_list":{"0":"post-203489","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-il","12":"tag-israel","13":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/203489","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=203489"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/203489\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/203490"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=203489"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=203489"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=203489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}