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The AI shovels industry is doing good business. Other than that, any major use-case behind the recent AI hype? One that has brought tangible benefits, or at the

The AI shovels industry is doing good business. Other than that, any major use-case behind the recent AI hype? One that has brought tangible benefits, or at the very least a positive ROI.

andrewcamel 3y ago
I'm starting to outline them here: ctlresearch.com . Upcoming interviews with Chief Architect at Intuit, Head of Procurement at DoD, etc. DoD already shortened process of writing structured "requests from industry" from 3 months to 1 day. Makes it far easier to get requests out to vendors. Next step is an auto-complete bot that helps vendors respond with required language to RFPs. I have 20 interviews coming down the pipe -- all of which have highly tactical / near term valuable ideas like this.
- moneywoes 3y ago
  Do you have a blog or are these market research ideas
  - andrewcamel 3y ago
    It's a collection of interviews posted in the form of a library. So bit blog-like in structure, but just a collection of ideas on how to leverage this new tech.
    - moneywoes 3y ago
      What info do you digest daily?
throwawaybbq1 3y ago
I work at an industry research lab. Key challenge for LLMs is the legality and massive resources needed to train. I have research colleagues that are convinced that even OpenAI may be on shaky legal ground. A lot of non-profit and academic liasoning helps to muddy the issue (academics have fair-use exceptions). If you don't see the potential of the tech and the rapid advances, I can't help you. But the issue around deployment is more legal (and perhaps not enough GPUs to go around).
- Havoc 3y ago
  > even OpenAI may be on shaky legal ground Not sure it matters. We’re very much in do first ask permission later territory here and nobody is putting the genie back in the bottle. The legal will have to bend towards reality
spaghetti1535 3y ago
I feel like the AI hype is putting people off but I do see genuine value being created in all kinds of places. major: chatgpt for answering questions, explaining topics and helping with coding has brought me personally massive ROI minor: a lot of companies are integrating LLMs to upgrade their offerings and a lot of small SaaS now exist due to LLMs. I have to guess at least some of those have a positive ROI
comfypotato 3y ago
It’s only a matter of time before adoption catches up to the tech. HN is the epitome of cutting edge when it comes to this stuff. It’s only natural that readers don’t yet see the adoption. I was in an 800-level (PhD) course last semester, and the professor made a fun lecture where each student had to present a paper from the last 5 years that’s been completely outdone by GPT4. You wouldn’t believe how it casually outperforms the state of the art from just 5 years ago. My paper was about natural language to bash commands. GPT4 is lightyears ahead of the previous state of the art. You could probably make a business off just a natural language interface to the Linux operating system.
hospitalJail 3y ago
Between generating code, recipes for a non profit, combining my expertise with an obscure application, helping me do social things, and we have a huge savings upcoming but need to use local models... yes.
jabradoodle 3y ago
Image recognition, interpreting/translating text, speech recognition for video transcriptions. Machine learning for boring stuff you wont see, making predictions with data etc. There are lots of use cases, we seem to only talk about LLM's recently.
- paganel 3y ago
  Yeah, I had forgotten about image recognition, I agree that the field has changed significantly because of AI. Indeed, I was thinking mostly about LLMs, as it seems to me that this type of news presented in the article is mostly targeting that field.

The AI shovels industry is doing good business. Other than that, any major use-case behind the recent AI hype? One that has brought tangible benefits, or at the very least a positive ROI.

andrewcamel 3y ago

I'm starting to outline them here: ctlresearch.com . Upcoming interviews with Chief Architect at Intuit, Head of Procurement at DoD, etc. DoD already shortened process of writing structured "requests from industry" from 3 months to 1 day. Makes it far easier to get requests out to vendors. Next step is an auto-complete bot that helps vendors respond with required language to RFPs. I have 20 interviews coming down the pipe -- all of which have highly tactical / near term valuable ideas like this.

moneywoes 3y ago
Do you have a blog or are these market research ideas
- andrewcamel 3y ago
  It's a collection of interviews posted in the form of a library. So bit blog-like in structure, but just a collection of ideas on how to leverage this new tech.
  - moneywoes 3y ago
    What info do you digest daily?

throwawaybbq1 3y ago

I work at an industry research lab. Key challenge for LLMs is the legality and massive resources needed to train. I have research colleagues that are convinced that even OpenAI may be on shaky legal ground. A lot of non-profit and academic liasoning helps to muddy the issue (academics have fair-use exceptions). If you don't see the potential of the tech and the rapid advances, I can't help you. But the issue around deployment is more legal (and perhaps not enough GPUs to go around).

Havoc 3y ago
> even OpenAI may be on shaky legal ground Not sure it matters. We’re very much in do first ask permission later territory here and nobody is putting the genie back in the bottle. The legal will have to bend towards reality

spaghetti1535 3y ago

I feel like the AI hype is putting people off but I do see genuine value being created in all kinds of places. major: chatgpt for answering questions, explaining topics and helping with coding has brought me personally massive ROI minor: a lot of companies are integrating LLMs to upgrade their offerings and a lot of small SaaS now exist due to LLMs. I have to guess at least some of those have a positive ROI

comfypotato 3y ago

It’s only a matter of time before adoption catches up to the tech. HN is the epitome of cutting edge when it comes to this stuff. It’s only natural that readers don’t yet see the adoption. I was in an 800-level (PhD) course last semester, and the professor made a fun lecture where each student had to present a paper from the last 5 years that’s been completely outdone by GPT4. You wouldn’t believe how it casually outperforms the state of the art from just 5 years ago. My paper was about natural language to bash commands. GPT4 is lightyears ahead of the previous state of the art. You could probably make a business off just a natural language interface to the Linux operating system.

hospitalJail 3y ago

Between generating code, recipes for a non profit, combining my expertise with an obscure application, helping me do social things, and we have a huge savings upcoming but need to use local models... yes.

jabradoodle 3y ago

Image recognition, interpreting/translating text, speech recognition for video transcriptions. Machine learning for boring stuff you wont see, making predictions with data etc. There are lots of use cases, we seem to only talk about LLM's recently.

paganel 3y ago
Yeah, I had forgotten about image recognition, I agree that the field has changed significantly because of AI. Indeed, I was thinking mostly about LLMs, as it seems to me that this type of news presented in the article is mostly targeting that field.