Sept. 17, 2023, 8:13 p.m. | /u/NuseAI

Artificial Intelligence www.reddit.com

- AI, including ChatGPT, has narrow expertise and lacks the broad spectrum of human intelligence.

- The training of AI models can be costly due to hardware, data collection, and energy consumption.

- The trustworthiness of training data is crucial for reliable AI models, but issues like bias, labeling errors, and data privacy can affect performance.

- AI systems are vulnerable to adversarial attacks, such as manipulating input data to deceive the models.

- AI lacks genuine understanding, emotional/social intelligence, …

ai models artificial bias chatgpt collection cyber cyber security data data collection data privacy energy errors expertise hardware human human intelligence intelligence labeling narrow privacy reliable ai security spectrum training training data

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

DevOps Engineer (Data Team)

@ Reward Gateway | Sofia/Plovdiv