BEFORE YOU PRESS PLAY
What is discussed
AskMonty AI editorial noteSource consulted:
Montemagno experiments with GPT-4 image recognition using everyday objects: a shoe sole, toast, an exercise bar, an outfit and a pasta dish. He compares generic answers with more specific requests, observing how changing the question changes the result. He imagines shopping and personal-assistance applications but repeatedly notes errors and the need to verify outputs. Responses about posture, calories and exercise are examples from an informal test, not professional assessments. The content describes capabilities available at the time of the experiment.
Key points
- More specific questions can produce more targeted answers without guaranteeing accuracy.
- Personalised shopping is proposed as a possible application.
- An exercise plan generated from an image includes instructions Marco does not understand.
- Dish recognition is used to request a basic recipe.
