When it comes to achieving artificial general intelligence (AGI), large language models simply don’t have what it takes. Models like ChatGPT and Claude are great with text, but are less adept at understanding how things actually move through space and time, an essential skill for producing intelligence that generalizes. It turns out that gap could
Before OpenAI’s GPT-3 ushered in the era of basic models, companies were building specialized natural language processing models from scratch, training each with large amounts of task-specific data. Today, most organizations start with a general-purpose model like OpenAI’s GPT, Claude, or Llama series and then adjust or customize it to solve their specific needs. Pim