The author also points out that giraffes have been a recurring issue in image recognition, with algorithms often incorrectly identifying them. The article concludes with a cautionary note about relying too heavily on AI for image recognition, as it can often miss obvious features. The author also mentions an unsuccessful attempt to get DALL-E2, another AI model, to generate an image of a giraffe with no spots.
Key takeaways:
- AI image recognition algorithms struggle to identify unusual features in images, such as a giraffe without spots, likely due to a lack of similar images in their training data.
- The algorithms tend to provide the most likely answer to a question, which may not necessarily be the most accurate, leading to a tendency to "sand away" the unusual.
- While the models used in the experiment, MMICL and InstructBLIP, are modern and high-ranking, they still struggled with the task, suggesting this is a widespread issue in AI image recognition.
- The article suggests that AI's limitations in image recognition should serve as a cautionary tale about placing too much faith in this technology.