Earlier quoted context omitted.
I think they're basically taking the "Uber" strategy here: primary business is probably illegal, but if they do it hard enough and at enough scale and create enough value for enough big companies, then they become big enough to either get regulations changed or strong enough to weather lawsuits and prosecutions. Their copyright fig leaf is perhaps analogous to Uber's "it's not a taxi service so we don't need taxi med…
Or make as much money as you can, while you can.
ChatGPT Enterprise
281–290 of 532 posts
Re: ChatGPT Enterprise
#282Interesting, but I am a bit disappointed that this release doesn't include fine-tuning on an enterprise corpus of documents. This only looks like a slightly more convenient and privacy-friendly version of ChatGPT. Or am I missing something?
At the bottom, in their coming soon section: "Customization: Securely extend ChatGPT’s knowledge with your company data by connecting the applications you already use"
Re: ChatGPT Enterprise
#283The best thing is that this will probably reduce load on chatgpt 4 meaningfully
Even if no GPU is simultaneously being used for enterprise and normal, they still have a finite amount of compute.
Re: ChatGPT Enterprise
#284Any correlation between this and the sudden disappearance of this repo? https://github.com/microsoft/azurechatgpt Past discussion: https://news.ycombinator.com/item?id=37112741
Re: ChatGPT Enterprise
#285Are there already some profitable businesses using chatgpt i am wondering. To me the tech is really impressive. But what kind of really big commercial product exists at this point? I only know of assistants like copilot or some word assistant. But what else? Isnt this just a temporary bubble?
One aspect of working in a big company is figuring out where all the bits of specialized knowledge live, and what the company-specific processes are for getting things done. One use case for an internal chatGPT is essentially a 100% available mentor inside the company.
"Management believed Jimmy Intern would be fine to deploy Prod Model Sysphus vN+1; their Beginner Acceleration Divison (BAD) Team was eager to show off the new LLM and how quickly it could on-board a new employee. To his credit, Jimmy asked the BAD model the correct questions for the job. That's when the LLM began hallucinating, resulting in the instructions to 'backup the core database' being mixed up with the instructions for 'emergency wipe of sensitive data'. Following the instructions carefully and efficiently, Jimmy successfully wiped out our core database, the backups, and our local tapes overnight."
Re: ChatGPT Enterprise
#286Any hot takes on what the median application of this looks like at a practical level? What springs to mind for me is replacing the classic "weed-out" tiers of customer service like phone trees, chatbots that are actually crappy FAQ/KB search engines, and human representatives who are only allowed to follow a script. On balance, this might even be a win for everyone involved, given how profoundly terrible the status q…
> On balance, this might even be a win for everyone involved Well, other than the millions of jobs at stake here. But I’m sure they can just learn to code or become an engineer
Re: ChatGPT Enterprise
#287I hope no one will be disappointed, who has done a good job as an employee suddenly finding himself replaced by a snippet of code, after the weights have been sufficiently adjusted. It's like slurping the very last capital a worker has out of its mind and soul. Most companies exist to make a profit, not to employ humans. Paired with the pseudo-mocked-tech-bro self-peddling BS this announcement reads like dystopia to…
A common retort to this is that companies also exist to compete (and thus make a profit), so those that use AI to augment their staff rather than replace them will be at an advantage. Honestly, I can see it, but there are definitely SOME jobs at risk, and it will almost certainly reduce hiring in junior positions. I am a manager in a dev team. I have a small team and too many plates spinning, and I’ve been crying out…
Re: ChatGPT Enterprise
#288Now you can pay real money for a chatbot to make stuff up about your company and its products.
While it is pretty incredible stuff, until or unless they have a veracity bit — some sort of "please don't lie" flag in it, I'd be wary of what it produces.
Will ChatGPT offer off-the-cuff pricing, discounts, rebates and refunds that are in line with your actual business model? Will it make written offers you will be legally-obligated to adhere to? Will it lie about your features and capabilities, or that of your competitors? Will it invent whole-cloth SLAs and KPIs you'll never be able to adhere to? Will it make up arrival and departure times? Medical conditions and prescribed treatments/therapies? Will it glibly give instructions that can get consumers/users who read these statements fired from their jobs, fined, imprisoned or killed?
There are places where you only want to give a generative AI so much room to color outside the lines. And after that, you are going to want traditional procedural logic to take over. Decision-trees from manually-maintained systems and even multi-decadal-honed expert systems.
There are some things where letting a computer make up a plausible response is ... okay-ish. And there are times where you can cause immense amounts of damage by letting things get outside of your control and human review.
This should come with a consumer warning label that would put your typical pharmaceutical safety disclosure to shame.
Now, with all that said, I am amazed at many of the results these LLM-based systems can generate. My main concern is that they are getting so good — or at least so plausible — that they can even fool domain experts unless they read really, really closely. And the experts won't be able to do that at scales of 10s or 100s of thousands of transactions per second.
Re: ChatGPT Enterprise
#289Earlier quoted context omitted.
You probably wouldn't want that, you'd want to integrate with your data for lookups but rarely for training a new model.
Can't believe the pushback I'm getting here. The use case is stunningly obvious. Companies want to dump all their Excels in it and get insights that no human could produce in any reasonable amount of time. Companies want to dump a zillion help desk tickets into and gain meaningful insights from it. Companies want to dump all their Sharepoints and Wikis into it that currently nobody can even find or manage, and finall…
>>Companies want to dump a zillion help desk tickets into and gain meaningful insights from it.
>>Companies want to dump all their Sharepoints and Wikis into it that currently nobody can even find or manage, and finally have functioning knowledge search.
Mature organizations already have solutions for all of these things. If you can't mine your own data competently, you've got bigger problems than not having AI doing it for you. It means you don't have humans who understand what's going on. AI is not the answer to everything.
Re: ChatGPT Enterprise
#290I hereby dub this "Baron-von-Munchausen-as-a-Service." Now you can pay real money for a chatbot to make stuff up about your company and its products. While it is pretty incredible stuff, until or unless they have a veracity bit — some sort of "please don't lie" flag in it, I'd be wary of what it produces. Will ChatGPT offer off-the-cuff pricing, discounts, rebates and refunds that are in line with your actual busines…