The key to R1’s success was distillation, a technique that makes AI models more efficient. It works by having a larger model teach a smaller model: you run the teacher’s model through lots of examples and record the answers, and reward the student’s model as they copy those answers as closely as possible, so that they gain a compressed version of the teacher’s knowledge. —Caiwei Chen
10. Flattery
While people around the world are spending an increasing amount of time Interacting with chatbots Like ChatGPT, chatbot makers struggle to define what kind of tone and “personality” their forms should adopt. Back in April, OpenAI admitted that it had struck the wrong balance between helping and complaining, saying that the new update had made GPT-4o Very sycophantic. Not only is grooming annoying, it can mislead users by reinforcing incorrect beliefs and spreading misinformation. So consider this a reminder to take everything – yes, everything – that LLM holders produce with a pinch of salt. —Rhiannon Williams
11. Slope
If there’s one AI-related term that has completely escaped the nerd shackles and entered the public consciousness, it’s “ramp.” The word itself is old (like pig feed), but “slop” is now commonly used to refer to low-effort content mass-produced by artificial intelligence, often optimized for online traffic. Many people even use it as a shorthand for any AI-generated content. It’s felt inevitable this past year: we’ve fallen into it, who Fake resumes to Shrimp Jesus Pictures for A surreal hybrid of human and animal videos.
But people enjoy it too. The term’s sarcastic flexibility has made it easy for Internet users to slap it on all sorts of words as a suffix to describe anything that lacks substance and is absurdly mediocre: think “failed business” or “failed friend.” Resetting the hype cycle, “Cascade” represents a cultural reckoning about what we trust, what we value as creative work, and what it means to be surrounded by things created for sharing rather than expression. —Caiwei Chen
12. Physical intelligence
Have you experienced hypnosis? video Earlier this year of a humanoid robot putting away dishes in a gloomy, gray kitchen? This very much embodies the idea of physical intelligence: the idea that advances in artificial intelligence can help robots better move around the physical world.
It is true that robots have been able to learn new tasks faster Ever, everywhere from Operating rooms to Warehouses. Self-driving car companies have seen improvements in how they do this simulation Roads too. However, it is still unwise to doubt that AI has revolutionized this field. Consider, for example, that many robots that are advertised as servants in your home do most of their tasks thanks to… Remote operators in philippines.
It’s also certain that the road ahead for physical intelligence will be strange. Large language models train on text that is abundant on the Internet, but robots learn more from videos of people doing things. That’s why robotics company Veger proposed last September to do so Pay people To photograph themselves in their apartments doing household chores. Are you going to sign up? -James O’Donnell
13. Fair use
AI models are trained by ingesting millions of words and images online, including copyrighted works by artists and writers. AI companies argue that this is “fair use” — a legal doctrine that allows you to use copyrighted material without permission if you turn it into something new that doesn’t compete with the original. The courts are starting to have their say. In June, Anthropic training its AI model Claude on a library was ruled fair use because the technology was “Very transformative“.
In the same month, Meta A Similar winBut only because authors couldn’t show that the company’s literary buffet was taking a cut from their paychecks. As copyright battles rage, some creators are taking advantage of the holiday. In December, Disney signed A A dirty deal With OpenAI to allow users of Sora, the AI-powered video platform, to create videos featuring more than 200 characters from Disney franchises. Meanwhile, governments around the world are doing so Rewriting the rules of copyright For content consumption machines. Is training AI on copyrighted work fair use? As with any billion-dollar legal question, It depends. —Michelle Kim
14. Geography
Just a few years ago, an entire industry was built around helping websites rank highly in search results (well, just in Google). Now SEO is giving way to GEO – generative engine optimization – as the AI boom forces brands and businesses to scramble to maximize their AI exposure, be it in AI-powered search results like Google search results. Overviews of artificial intelligence Or within LLMs’ responses. No wonder they are terrified. We already know that news companies have seen a Huge drop in Web traffic depends on searchArtificial intelligence companies are finding ways to eliminate the middleman and allow their users to visit websites directly from within their platforms. It’s time to adapt or die. —Rhiannon Williams
