91–100 of 329 posts
We're going to see more of this in the coming years: A mature technology being bolted onto another mature technology. So we should start imagining all the things being built today which can be bolted onto each other: -Speech synthesis/voice assistants -Walking robots -Deepfakes -ChatGPT/Bard -The now-many Copilots -Language recognition/transcription/translation AI bots are going to be a huge part of the workplace soo…
Wolfram Alpha was my ChatGPT when I was in school. And many of the same issues ("how will kids learn math now?") were raised at the time. ...Yeah, this seems like a great match, no complaints from me. Those kinds of responses are exactly what LLMs need.
This is a match made in heaven, which makes ChatGPT actually useful for factual data. Or the inverse, it makes Wolfram Alpha even more accessible. That example screenshot of ChatGPT generating three queries to Wolfram Alpha in succession in order to answer the initial question is amazing. It's just how a human might have used Wolfram Alpha to do the same.
Until reasonable alternatives are developed, in many professions you will be basically handicapped without it.
And the cherry on top is that they have all inputs. These provide incomparably more data than e.g. google search queries. Not to mention they have a tool which excels at guessing user intention and interests.
It will not matter what ChatGPT (et al.) will cost in the future. If you don't have it you're toast.
OpenAI is like Google before 2003, dazzling the world with amazing products backed by astonishing technologies that went beyond wild dreams of millions of people. And most importantly, OpenAI kept releasing new features at blazing speed with a few hundred people, just like early days of Google and Microsoft. This reminds me of stark contrast of Google's GSuite and Microsoft Office. Microsoft released new office every…
Earlier quoted context omitted.
And also whenever the next iteration bootstraps off the Wolfram outputs so it no longer has to call Wolfram & can better generalize/learn thanks to it...
Wolfram himself laid out why this is unlikely to happen, https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-... >Or put another way, there’s an ultimate tradeoff between capability and trainability: the more you want a system to make “true use” of its computational capabilities, the more it’s going to show computational irreducibility, and the less it’s going to be trainable. And the more it’s fundamentally…
This isn't true if you let the model output tokens that aren't sent to the user. Basically the null api.
OpenAI is like Google before 2003, dazzling the world with amazing products backed by astonishing technologies that went beyond wild dreams of millions of people. And most importantly, OpenAI kept releasing new features at blazing speed with a few hundred people, just like early days of Google and Microsoft. This reminds me of stark contrast of Google's GSuite and Microsoft Office. Microsoft released new office every…