1. Despite excelling in various tasks, AI struggles with spelling and generating accurate text.
2. Image generators perform better with larger objects like cars and faces, while text generators face challenges with smaller details like spelling.
3. AI models like ChatGPT may have trouble with spelling, understanding letters, and generating accurate images with smaller details.
AI technology has made significant advancements in areas such as acing standardized tests, defeating chess grandmasters, and debugging code. However, when it comes to tasks like spelling, AI falls short. Text-to-image generators and text generators struggle with spelling errors, generating gibberish or incorrect words when prompted.
Image generators and text generators use different underlying technologies, but both struggle with details like spelling. The technology behind image generation, diffusion models, reconstruct images from noise, while text generation models like large language models (LLMs) match patterns to generate responses. Engineers can address these issues by augmenting training data sets for the AI.
AI models like ChatGPT and DALL-E show strengths and weaknesses in different areas. While image generators excel at recreating artifacts like cars and faces, they struggle with smaller details. Similarly, text generators may be proficient at responding to prompts but can make spelling errors.
Despite improvements, AI still faces challenges in understanding complex language rules, like spelling and grammar. Models like Adobe Firefly are trained not to generate specific text, which can help avoid errors. However, challenges in generating accurate text remain due to the complexity of languages and the need to address various issues incrementally.
While AI technology continues to advance, the hype surrounding its capabilities needs to be balanced with an understanding of its limitations. Experts acknowledge progress but caution against unrealistic expectations given the ongoing challenges AI faces in areas like spelling and image generation.