Linguistic Landscape (LL) research traditionally relies on manual photography and annotation of public signages to examine distribution of languages in urban space. While such methods yield valuable findings, the process is time-consuming and difficult for large study areas. This study explores the use of AI powered language detection method to automate LL analysis. Using Honolulu Chinatown as a case study, we constructed a georeferenced photo dataset of 1,449 images collected by researchers and applied AI for optical character recognition (OCR) and language classification. We also conducted manual validations for accuracy checking. This model achieved an overall accuracy of 79%. Five recurring types of mislabeling were identified, including distortion, reflection, degraded surface, graffiti, and hallucination. The analysis also reveals that the AI model treats all regions of an image equally, detecting peripheral or background texts that human interpreters typically ignore. Despite these limitations, the results demonstrate the potential of integrating AI-assisted workflows into LL research to reduce such time-consuming processes. However, due to all the limitations and mis-labels, we recognize that AI cannot be fully trusted during this process. This paper encourages a hybrid approach combining AI automation with human validation for a more reliable and efficient workflow.

A Waymo car went up in flames in San Francisco's Chinatown after a crowd surrounded it, scrawled graffiti, smashed windows and then threw a firework inside the driverless vehicle in the middle of a crowded street Saturday night. Nobody was in the car and no injuries were reported, police and company officials said. The San Francisco Fire Department was called to the scene about 9 p.m. in the 700 block of Jackson Street, authorities said. Chinatown was bustling as people celebrated Lunar New Year. Videos posted on social media by software engineer Michael Vandi show someone using a skateboard to crush the white Jaguar's windows as the car's rooftop sensors continued to turn.

A rowdy crowd surrounded a Waymo vehicle in San Francisco's Chinatown Saturday evening and set it on fire, police said. The San Francisco Police Department said a crowd of about 10 to 15 people surrounded the fully autonomous vehicle between Stockton and Grant just before 9:30 p.m. The fully autonomous vehicle was completely destroyed. The mob graffitied the vehicle and smashed its windows before tossing a firework inside. The firework ignited, causing the vehicle to catch on fire.

Frequentist and Bayesian are two different versions of statistics. Frequentist is a more classical version, which, as the name suggests, rely on the long run frequency of events (data points) to calculate the variable of interest. Bayesian on the other hand, can also work without having a large number of events (in fact, it could work even with one data point!). The cardinal difference between the two is that: frequentist will give you a point estimate, whereas Bayesian will give you a distribution. Having a point estimate means that -- "we are certain that this is the output for this variable of interest". Whereas, having a distribution can be interpreted as -- "we have some belief that the mean of the distribution is the good estimate for this variable of interest, but there is uncertainty too, in the form of standard deviation".

Like Beyoncé, we now know, Hillary Clinton has hot sauce in her bag. She said so on New York's Power 105.1, so it must be true. Still, Donald Trump doesn't believe her, nor do Rush Limbaugh, Laura Ingraham nor many of Fox News' talking heads. Even Power 105.1 host Charlamagne Tha God kind of accused her of pandering. I think she just likes hot sauce -- and not just because she's on record as a chilehead in interviews going back at least to 2008.