Microsoft goes all in on ChatGPT. In talks of a 10 billion dollar investment and more

[Macallik86]

i'm , what's supposed to be the use case for chatgpt as a serious product?kids about to use this for essays? what are people using this for other than amusement?

*i haven't tried it*

Machine Learning is making 'educated' guesses based on any dataset it is trained on. Generative AI is a more specific version of machine learning that is more advanced and can answer more complex answers given the right datasets. I agree that the examples online feel arbitrary with things like making ChatGPT talk like your fave podcast host but these are just the publicly discussed use cases.

I think that the business cases aren't being discussed as publicly because a) it's still early for the average company, and b) the early movers don't want to give up their advantage by publicly discussing what they are using the technology for.

I know CNET got busted trying it out without telling anyone, and they only admitted it after someone did an expose after seeing discrepancies with their (public-facing) articles. Most companies aren't in the content creation world, so their forays into AI won't have as much scrutiny. It's not implausible that <insert a large tech conglomerate here> used the spell of recent tech layoffs to covertly and permanently downsize some departments that will be replaced by ChatGPT.

As someone w/ an extremely limited (but growing) view of ML, from what I've read companies could train ChatGPT based on their internal data. If Widgets Co. created a ML model based on their internal wiki, then do we really need X number of customer service reps to respond to customer service questions within two days, or use the chat bot to answer questions in real-time w/ guaranteed accuracy of X%?

From there, given that most (all?) human roles can be learned via a detailed enough SOP, the question becomes what tasks/jobs are safe from generative AI? Do we need an Implementation team if the chat bot is fed multiple SOPs about Onboarding clients? Do we need a Marketing team if ML can curate appealing copy? Do we need a web development team if ML can write accurate code?

It's not even like jobs can be outsourced to a developing country because it'll still be cheaper for ML to do it. I think that people will talk about pre/post mainstream Generative AI tools like ChatGPT in the same way that historians talk about pre/post Industrial Revolution.

 

[dora_da_destroyer]

Machine Learning is making 'educated' guesses based on any dataset it is trained on. Generative AI is a more specific version of machine learning that is more advanced and can answer more complex answers given the right datasets. I agree that the examples online feel arbitrary with things like making ChatGPT talk like your fave podcast host but these are just the publicly discussed use cases.

I think that the business cases aren't being discussed as publicly because a) it's still early for the average company, and b) the early movers don't want to give up their advantage by publicly discussing what they are using the technology for.

I know CNET got busted trying it out without telling anyone, and they only admitted it after someone did an expose after seeing discrepancies with their (public-facing) articles. Most companies aren't in the content creation world, so their forays into AI won't have as much scrutiny. It's not implausible that <insert a large tech conglomerate here> used the spell of recent tech layoffs to covertly and permanently downsize some departments that will be replaced by ChatGPT.

As someone w/ an extremely limited (but growing) view of ML, from what I've read companies could train ChatGPT based on their internal data. If Widgets Co. created a ML model based on their internal wiki, then do we really need X number of customer service reps to respond to customer service questions within two days, or use the chat bot to answer questions in real-time w/ guaranteed accuracy of X%?

From there, given that most (all?) human roles can be learned via a detailed enough SOP, the question becomes what tasks/jobs are safe from generative AI? Do we need an Implementation team if the chat bot is fed multiple SOPs about Onboarding clients? Do we need a Marketing team if ML can curate appealing copy? Do we need a web development team if ML can write accurate code?

It's not even like jobs can be outsourced to a developing country because it'll still be cheaper for ML to do it. I think that people will talk about pre/post mainstream Generative AI tools like ChatGPT in the same way that historians talk about pre/post Industrial Revolution.

repped

 

[GoldenGlove]

i'm , what's supposed to be the use case for chatgpt as a serious product?kids about to use this for essays? what are people using this for other than amusement?

*i haven't tried it*

For any deliverable that has to be written, it's excellent for. Content creators are super charged with this. And not just for social media, but for any marketing or communications professional in corporate.

It also generates code. For example, you can ask it to generate code in a specific programming language and it'll do it. You need to know what to ask it, so people with programming experience really can have this thing spitting out code commands in seconds.

Right now, I'm about to test it for generating a summary/meeting minutes for a 30 minute discussion that I had on Monday. I had a call about an application that some teams that I support can potential use on their platforms. I opened up my recorder app on my phone to record the conversation and get a transcript from it (Google's recorder and transcript feature is amazing). Now I'm going to take the transcript, put it into ChatGPT and ask it to turn it into meeting minutes and summarize it. I can give it specifics when I do this too. So I can say, summarize this in 200 words, or 10 bullet points.

Depending on how this does, I really won't have to take notes again on any call I'm on.

 

[GoldenGlove]

Machine Learning is making 'educated' guesses based on any dataset it is trained on. Generative AI is a more specific version of machine learning that is more advanced and can answer more complex answers given the right datasets. I agree that the examples online feel arbitrary with things like making ChatGPT talk like your fave podcast host but these are just the publicly discussed use cases.

I think that the business cases aren't being discussed as publicly because a) it's still early for the average company, and b) the early movers don't want to give up their advantage by publicly discussing what they are using the technology for.

I know CNET got busted trying it out without telling anyone, and they only admitted it after someone did an expose after seeing discrepancies with their (public-facing) articles. Most companies aren't in the content creation world, so their forays into AI won't have as much scrutiny. It's not implausible that <insert a large tech conglomerate here> used the spell of recent tech layoffs to covertly and permanently downsize some departments that will be replaced by ChatGPT.

As someone w/ an extremely limited (but growing) view of ML, from what I've read companies could train ChatGPT based on their internal data. If Widgets Co. created a ML model based on their internal wiki, then do we really need X number of customer service reps to respond to customer service questions within two days, or use the chat bot to answer questions in real-time w/ guaranteed accuracy of X%?

From there, given that most (all?) human roles can be learned via a detailed enough SOP, the question becomes what tasks/jobs are safe from generative AI? Do we need an Implementation team if the chat bot is fed multiple SOPs about Onboarding clients? Do we need a Marketing team if ML can curate appealing copy? Do we need a web development team if ML can write accurate code?

It's not even like jobs can be outsourced to a developing country because it'll still be cheaper for ML to do it. I think that people will talk about pre/post mainstream Generative AI tools like ChatGPT in the same way that historians talk about pre/post Industrial Revolution.

100%

Microsoft laid off thousands of people in their Marketing department. I'm willing to bet they will augment a lot of their copywriting and creative writing for ads. After they have success measures for how it went on their own company, they'll then roll it into an Enterprise level offering. I can see it now. Save X amount by implementing this across your entire company. This is going to be huge. I see people only looking at the "fun" things about it without thinking much about how it'll impact the working class as a whole.

Could even get coders out the paint over time.

 

[GoldenGlove]

Also... I'm pretty sure my job banned access to ChatGPT. It makes sense too. If you work in tech/consulting, imagine all the high level information they can train their ML model with just from people at a company like that.

It's crazy to think about it, but really with all the data and content that people have put online over the years, it's fascinating and scary to see that now all of that information is going to be used to replace a lot of people.

 

[TheWiseWon]

Started using this to create a pitch deck and framework for a dApp running on Solidity, and this shyt is mind-blowing. I have no background in Computer Science, but with the proper prompt engineering, ChatGPT spits out sample code with applicable comments easily. A good portion of the outlining of the Minimum Viable Product is complete.

Even asked ChatGPT to provide objections from an investor relations perspective and then it rebutted itself.

4IR is here.

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[bnew]

Also... I'm pretty sure my job banned access to ChatGPT. It makes sense too. If you work in tech/consulting, imagine all the high level information they can train their ML model with just from people at a company like that.

It's crazy to think about it, but really with all the data and content that people have put online over the years, it's fascinating and scary to see that now all of that information is going to be used to replace a lot of people.

waiting to see which open source alternative can decently compete with it. I want to construct my own model from data I've collected or at least add to a dataset.

 

[Mr Hate Coffee]

I opened up my recorder app on my phone to record the conversation and get a transcript from it (Google's recorder and transcript feature is amazing).

Can this be done with iOS?

 

[GoldenGlove]

Can this be done with iOS?

The Otter.AI app is recommended for iOS.

 

[bnew]

@dora_da_destroyer

https://archive.is/FGh4Q

 

[greenvale]

I will say people gotta be careful about what data they are feeding this thing in respect to sharing a company’s specific problem or whatever. Reactivity of data is a very real thing and it can sink people or companies

 

[GoldenGlove]

I will say people gotta be careful about what data they are feeding this thing in respect to sharing a company’s specific problem or whatever. Reactivity of data is a very real thing and it can sink people or companies

Microsoft Tells Employees Not to Share 'Sensitive Data' With ChatGPT Microsoft is chill with employees using ChatGPT — just don’t share ‘sensitive data’ with it.

Amazon Warns Employees to Beware of ChatGPT - Gizmodo Amazon Warns Employees to Beware of ChatGPT

 

[GoldenGlove]

For any deliverable that has to be written, it's excellent for. Content creators are super charged with this. And not just for social media, but for any marketing or communications professional in corporate.

It also generates code. For example, you can ask it to generate code in a specific programming language and it'll do it. You need to know what to ask it, so people with programming experience really can have this thing spitting out code commands in seconds.

Right now, I'm about to test it for generating a summary/meeting minutes for a 30 minute discussion that I had on Monday. I had a call about an application that some teams that I support can potential use on their platforms. I opened up my recorder app on my phone to record the conversation and get a transcript from it (Google's recorder and transcript feature is amazing). Now I'm going to take the transcript, put it into ChatGPT and ask it to turn it into meeting minutes and summarize it. I can give it specifics when I do this too. So I can say, summarize this in 200 words, or 10 bullet points.

Depending on how this does, I really won't have to take notes again on any call I'm on.

This worked pretty good. Not a complete replacement because ChatGPT couldn't ingest the entire transcript in one take. I would have to break up and enter it in multiple times.

But from the segment I did do this with. It summarized it and put it in bullet points, it also gave me a list of action items at the end



I didn't even ask for action items either.

 

[bnew]

Microsoft rolls out ChatGPT-powered Teams Premium

Microsoft Corp on Wednesday rolled out a premium Teams messaging offering powered by ChatGPT to simplify meetings using the AI chatbot that has taken Silicon Valley by a storm.

www.reuters.com

1 minute readFebruary 1, 20237:39 PM EST Last Updated 2 days ago

Microsoft rolls out ChatGPT-powered Teams Premium​

Microsoft Teams app is seen on the smartphone placed on the keyboard in this illustration taken, July 26, 2021. REUTERS/Dado Ruvic/Illustratio

Feb 1 (Reuters) - Microsoft Corp (MSFT.O) on Wednesday rolled out a premium Teams messaging offering powered by ChatGPT to simplify meetings using the AI chatbot that has taken Silicon Valley by a storm.

The premium service will cost $7 per month in June before increasing to $10 in July, Microsoft said.

OpenAI-owned ChatGPT will generate automatic meeting notes, recommend tasks and help create meeting templates for Teams users.

Microsoft, which announced a multi-billion dollar investment in OpenAI earlier this month, has said it aims to add ChatGPT's technology into all its products, setting the stage for more competition with rival Alphabet Inc's (GOOGL.O) Google.

The chatbot, which can produce prose or poetry on command, is at the forefront of generative AI, a space where more and more big tech companies are funneling their resources in.

ChatGPT on Wednesday announced a $20 per-month subscription plan, which will let subscribers receive access to faster responses and priority access to new features and improvements.

 

[88m3]