|
|
|
|
|
by guns
1188 days ago
|
|
This is what Stephen Wolfram concludes in a recent article about ChatGPT: > The specific engineering of ChatGPT has made it quite compelling. But ultimately (at least until it can use outside tools) ChatGPT is “merely” pulling out some “coherent thread of text” from the “statistics of conventional wisdom” that it’s accumulated. But it’s amazing how human-like the results are. And as I’ve discussed, this suggests something that’s at least scientifically very important: that human language (and the patterns of thinking behind it) are somehow simpler and more “law like” in their structure than we thought. https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-... |
|
This is key. ChatGPT/GPT-4 alone are limited to reformulating what they know from their training data. Linked to search engines, databases, and computational tools such as Wolfram Alpha, they acquire much more capability. We're already seeing that with Microsoft Bing.
(Update: what happens as large language models learn Excel? Especially since Microsoft is already connecting them to Excel.)
What's striking is how fast this field is advancing. Huge advances over months, not years or decades.
We now have a much better idea of how intelligence evolved. It's mostly just more neurons. One of the great philosophical questions has, inadvertently, been answered.
Is the Singularity happening right now?