Large language models (LLMs) trained purely on text ostensibly lack any direct perceptual experience, yet their internal representations are implicitly shaped by multimodal regularities encoded in language. We test the hypothesis that explicit sensory prompting can surface this latent structure, bringing a text-only LLM into closer representational alignment with specialist vision and audio encoders. When a sensory prompt tells the model to 'see' or 'hear', it cues the model to resolve its next-token predictions as if they were conditioned on latent visual or auditory evidence that is never actually supplied. Our findings reveal that lightweight prompt engineering can reliably activate modality-appropriate representations in purely text-trained LLMs.

For instance, in clinical diagnosis, fully-autonomous machine behavior is often beyond ethical affordances, thus real-world decision support is often limited to monitoring and forecasting.

"Lunar Lander": Given any game state, the expert action is defined as the action chosen by a

For a few minutes on Sunday afternoon, Wimbledon's Centre Court became the perfect encapsulation of the current tensions between humans and machines. When Britain's Sonay Kartal hit a backhand long on a crucial point, her opponent Anastasia Pavlyuchenkova knew it had landed out. She said the umpire did too. But the electronic line-calling system - which means humans have been fully replaced this year following earlier trials - remained silent. The human umpire eventually declared the point should be replayed.

Wimbledon bosses have defended the use of AI line judges after Jack Draper said the technology was not "100% accurate". The British No 1 said it was "a shame" human line judges were ousted after crashing out in the second round to the 36-year-old former finalist Marin Cilic. Draper, 23, grew frustrated with the AI-enhanced Hawk-Eye technology during Thursday's match, holding his arms out in disbelief after one of his opponent's serves was not called out in the fourth set. "I don't think it's 100% accurate in all honesty," he said in his post-match press conference. "A couple of the ones today, it showed a mark on the court. There's no way the chalk would have showed that. I guess it cannot be 100% accurate – it's millimetres."

Wimbledon gets under way today with line judges scrapped for the first time in the tournament's 148-year history - replaced by AI-powered technology. Some of the sport's biggest stars have descended on south-west London for the showpiece two-week event at the All England Club - including defending singles champions Carlos Alcaraz and Barbora Krejčíková. Britain's hopes rest on Jack Draper, Katie Boulter, Cameron Norrie and Emma Raducanu, who will battle through back injury in an attempt to win her second career Grand Slam. And all eyes are on how this year's occasion copes with a shift in the way the game is umpired, as human line judges are replaced by artificial intelligence systems instead. The controversial decision has left fans torn, with some praising the forward-thinking idea while others disliking the idea of technology taking the place of a person.

If there's one thing baseball fans are averse to, it's change. Over the MLB's 149-year history, alterations to the game's rules, like lowering the pitcher's mound (1968) or introducing instant replay challenges (2014) came only after years of heated debate between reformers and purists. Maybe the most contentious issue ever to divide these two camps is whether or not to replace notoriously inaccurate human home plate umpires with less fallible machines. Though that was once largely considered out of the bounds of possibility, MLB games officiated by so-called "robot umpires" are now closer to reality than ever before. Starting this week, batters stepping up to the plate during spring training games will have the ability to challenge an umpire's pitch calls and have them immediately reviewed by a computer.

The Hawk-Eye computer vision system made its tennis debut in 2003 for broadcasting purposes, but was approved in 2005 after a notorious U.S. Open Tennis match between Serena Williams and Jennifer Capriati in 2004, during which Williams was the victim of multiple bad calls in the third set and went on to lose the match. Use of Hawk-Eye was expanded during the COVID-19 pandemic, and the 2020 U.S. Open was played without line judges on all but two of the main courts. Since Hawk-Eye has been in use, between 190 and 200 judges have been replaced, depending on the stage of the tournament, says Sean Carey, managing director of competition operations, at the U.S. Tennis Association (USTA). "The reason we bring technology in for this level of tournament--and we want to do it across every level if we could afford it--is to ensure integrity and the fairest and most even calls,'' Carey said. Hawk-Eye, which uses cameras to track the trajectory of a ball and create a three-dimensional (3D) representation of it, is now being used by 23 of the top 25 global sports leagues and federations, according to the company. Yet, the sentiment appears to be that AI will never fully replace human judges. This has been the subject of much debate in Major League Baseball (MLB), a sport grounded in tradition, noted Daniel Martin, an associate professor of economics at the University of California at Santa Barbara. MLB is using Hawk-Eye to automatically monitor strike zones, and is questioning whether to get rid of umpires, given that the system is "incredibly accurate,'' he said.