Denoising the hype

Allen J. Romano

Denoising the Noise: AGI, GAI, LLMs, and ChatGPTs

allenjromano@gmail.com

(March 6, 2023)

Some Noise

Oct. 2022

March 2023

Why this?

Why now?

ChatGPT has captured the hype cycle for three reasons, none of which is about new technology ...

Text

Web3 / Crypto hype cycle according to Gartner.com

ChatGPT == best product demo ever

Sandhini Agarwal (AI Policy at OpenAI): I think it was definitely a surprise for all of us how much people began using it. We work on these models so much, we forget how surprising they can be for the outside world sometimes.

https://www.technologyreview.com/2023/03/03/1069311/inside-story-oral-history-how-chatgpt-built-openai/

?

Underlying Technology

Tech

Tools and Such

 

Apps

Application Building

 

Build

Non-revolutionary Technology

— It just isn't all that novel

In terms of underlying techniques, ChatGPT is not particularly innovative. It’s nothing revolutionary, although that’s the way it’s perceived in the public. It’s just that, you know, it’s well put together, it’s nicely done.”

– Yann LeCun, Meta AI

https://www.zdnet.com/article/chatgpt-is-not-particularly-innovative-and-nothing-revolutionary-says-metas-chief-ai-scientist/

from "Opportunities and Risks of Foundation Models" https://arxiv.org/pdf/2108.07258.pdf

from "Opportunities and Risks of Foundation Models" https://arxiv.org/pdf/2108.07258.pdf

Brute Force

  • More data, more parameters
  • Better data
  • More languages
  • Multimodal (Image <-> Text <-> Audio <-> Video <-> ??Thought??)
  • Models check themselves

Finesse

  • New architectures
  • Sparse Models (all current production models are "dense" models)

Immediate Horizons

from Deepmind ai, "Multimodal Few-Shot Learning with Frozen Language Models": https://arxiv.org/abs/2106.13884

Minimal Multimodal model (for illustration)

Apps

— ChatGPT was never an end-user product

FSU-Eng-March2023

By Allen Romano

FSU-Eng-March2023

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