The end of prompting - by Jeremy Kirshbaum

The concept of ‘prompt engineering’ — where you give a machine a written prompt and it spits out something cool — is still relatively new and yet… I can already see it coming to an end. Prompting is a pretty strange way to interface with an LLM. It’s a bit like flying a fighter jet while sitting on the windshield: you’re trying to guide a very powerful and complex machine without any visibility into the internal controls. Today’s prompting methods fail to harness the full potential of AI models — all the novelty and hype around consumer-facing prompting tools only obscures how awkward they are: on the human side, prompts are difficult to write; on the machine side, prompts are difficult to transform into good outputs. But, new models are being released all the time, and they are able to output more types of content (like video or 3D renderings) — and are becoming smaller. These developments signal the emergence of more powerful interaction techniques. So, these new interactions can be

The concept of ‘prompt engineering’ — where you give a machine a written prompt and it spits out something cool — is still relatively new and yet… I can already see it coming to an end. Prompting is a pretty strange way to interface with an LLM. It’s a bit like flying a fighter jet while sitting on the windshield: you’re trying to guide a very powerful and complex machine without any visibility into the internal controls. Today’s prompting methods fail to harness the full potential of AI models — all the novelty and hype around consumer-facing prompting tools only obscures how awkward they are