Martin Anderson

1 week ago | unite.ai | Martin Anderson

New research shows that the way AI services bill by tokens hides the real cost from users. Providers can quietly inflate charges by fudging token counts or slipping in hidden steps. Some systems run extra processes that don’t affect the output but still show up on the bill. Auditing tools have been proposed, but without real oversight, users are left paying for more than they realize.

1 week ago | unite.ai | Martin Anderson

How do AI image generators picture the past? New research indicates that they drop smartphones into the 18th century, insert laptops into 1930s scenes, and place vacuum cleaners in 19th-century homes, raising questions about how these models imagine history – and whether they are capable of contextual historical accuracy at all.

2 weeks ago | unite.ai | Martin Anderson

President Trump has now signed the Take It Down Act, criminalizing sexual deepfakes at a federal level in the US. At the same time, the CivitAI community's bid to ‘clean up its act' regarding NSFW AI and celeb output has ultimately  failed to appease payment processors, leading the site to seek alternatives or face shutdown.

2 weeks ago | unite.ai | Martin Anderson

A new paper from researchers in China and Spain finds that even advanced multimodal AI models such as GPT-4.1 struggle to tell the time from images of analog clocks. Small visual changes in the clocks can cause major interpretation errors, and fine-tuning only helps with familiar examples. The results raise concerns about the reliability of these models when faced with unfamiliar images in real-world tasks.

3 weeks ago | unite.ai | Martin Anderson

If you rely on AI to recommend what to watch, read, or buy, new research indicates that some systems may be basing these results from memory rather than skill: instead of learning to make useful suggestions, the models often recall items from the datasets used to evaluate them, leading to overestimated performance and recommendations that may be outdated or poorly-matched to the user.