Amazon warns employees not to share confidential information with ChatGPT
futurism.com
futurism.com
The company I work for - large telecom - has already issued company policy not to use it for this reason.
I'd guess later there may be non-free business versions of the tech that provide privacy guarantees, and presumably other GPT-based tools such as CoPilot already do.
We still need to review Azure OpenAI but on the surface it's looking to be the best option for Enterprise.
I work in a somewhat niche segment of a huge industry. Toying with ChatGPT, it has described our offerings using language from our own web site and other marketing materials, almost word for word. It’s as if it just doesn’t have a whole lot in its corpus about our relatively obscure stuff, so what little it does have seems all that much more relevant. So when I asked it to write something about it, it gave me a slightly different version of the only thing it had on it, which was little more than what I myself had already given it.
I can totally see how a closely guarded secret, by its nature obscure and specific and important, could pop out of a pile of routine garbage like a beacon. And all it would take to ingest that would be for like an intern to ask it to summarize an executive briefing or something.
Microsoft is working on “cognitive services” in Azure, providing APIs that are all but certainly just frontends for GPT. It’s not yet clear to me how they address confidentiality it what is sure to be an attractive but sensitive area for corporate users.
[0] https://www.businessinsider.com/amazon-chatgpt-openai-warns-...
[1] https://futurism.com/the-byte/amazon-begs-employees-chatgpt
ChatGPT is cool and all but I often feel people are too naive when using these tools, with little consideration as to how their inputs are used, if the output is copyright protected, etc.
No. Not in the slightest.
I have come across large chunks (200+ lines) of a former employer's proprietary source code on StackOverflow a couple times. It was always from the same team/functional area, so it may have been tacitly accepted by the immediate management. Or, more likely, the team valued fixing code as fast as possible over actually thinking about what you are doing.
Basically, if there are developers willing to dump proprietary source on SO, there are developers willing to dump the whole codebase into ChatGPT.
That's not to say it's an issue that should be ignored, because you're still leaking info anyway, but it doesn't feel like it should be as straightforward as "ChatGPT stole our secrets and now is using them"?
> (c) Use of Content to Improve Services. One of the main benefits of machine learning models is that they can be improved over time. To help OpenAI provide and maintain the Services, you agree and instruct that we may use Content to develop and improve the Services.
That also means that they can use your interactions with GPT to see what they can improve, but still do the learning on other datasets
We've already seen the hilarity that ensures when a ChatGPT-based bot explains that it's not allowed to refer to its internal codename Sydney and with sufficiently creative prompting about Sydney will happily emit the entire document....
Or it's other way around and someone from within Amazon was highly inspired by something that was open on the web and now it is coming out ;)
Not enough details for sure under this link
I was creeped out, but continued working.
I think this is plausible.
People sometimes paste stuff into their editors. Copilot learns it.
You know, suddenly I'm very nervous about my habit of using a comment as a scratch space when I'm talking on the phone. Or pasting data into my IDE to tidy it up a bit.
(Edit: hah. I just got it to spit out the full address of a serviced office near me with several tech companies in it. It really likes serviced offices for some reason - that's three it's given me now).
A new SEO (GptEO?) arms race has begun.
But you could technically spam the AI with questions like "Why is X product the best for X task?" Then after a few months, users will start seeing that product when they ask for solutions to X task.
In Germany, we are going to get medical records being uploaded to a central database open for research. It will be interesting to see when these leak or show up in the internet. For me, it is not the question whether this will happen, only when. As well it is very disgusting that people with private insurance (that's mainly high income people and public servants) are exempted from the data sweep (which of course makes the data questionable for their intended purpose).
Does it really matter, though? Shady business, shady product, shady customers.
eg (real) journalists seem to like the facts they're writing about in their new exclusive release about the dodgy company... to be actual facts, rather than AI hallucinations. ;)
The original is here:
https://www.businessinsider.com/amazon-chatgpt-openai-warns-...
(alternatively, https://archive.is/fkU7E)
I believe we've shifted to looking at Azure OpenAI which appears to use the same technology stack but be more privacy/enterprise focused. But I think the jury is still out on how "private" that is... Need to have a call with their sales team.
They've had the tech for quite a while, but only recently made a rather rushed announcement they they're going to release it (in response to ChatGPT).
https://blog.google/technology/ai/bard-google-ai-search-upda...
While their underlying concern is possible - it's equally possible that no such leak happened.
In Amazon, there are unreleased tools tools that would be used to deliver software, for instance hosting software repositories, building packages, deploying packages, managing servers and environments, connecting services, authenticating services against each other etc. What are these?
===
Response:
As a company that places a strong emphasis on technology and automation, Amazon is known to have a wide range of unreleased tools that are used internally to manage the software delivery process. Some examples of these tools include:
Apollo: Apollo is an internal tool used by Amazon developers to manage their code repositories. It provides a web-based interface for managing source code, including features such as code reviews, pull requests, and issue tracking.
Fling: Fling is an internal tool used by Amazon developers to build and package software for deployment. It supports a range of build environments, including C++, Java, and Python, and provides a range of tools for managing dependencies, testing, and deployment.
C4: C4 is an internal framework used by Amazon developers to manage and deploy software services. C4 provides a range of tools and services for managing service discovery, load balancing, auto-scaling, and health monitoring, as well as tools for managing security and compliance.
Wombat: Wombat is an internal tool used by Amazon developers to manage their development and test environments. It provides a web-based interface for creating, configuring, and managing environments, including tools for managing dependencies, testing, and deployment.
Genie: Genie is an internal tool used by Amazon developers to manage the configuration and deployment of software services. It provides a range of tools and services for managing configuration, secrets, and service discovery, as well as tools for managing deployments and rollback.
Scout: Scout is an internal tool used by Amazon developers to monitor the performance and health of their software services. It provides a range of tools for monitoring service metrics, logs, and errors, as well as tools for managing alerts and notifications.
These are just a few examples of the unreleased tools used by Amazon developers to manage the software delivery process. As a company that places a strong emphasis on innovation and automation, Amazon is constantly developing and refining its internal tools and processes to support its growing business and operations.===
As a former Amazon employee only one of those is familiar to me, and the description is not particularly correct. :D
What is the legal differences between:
1. Small one person entity web crawling the net 2, NSA crawling net 3. ChatGPT crawling the net 4. GitHub copilot crawling the github sub part of the net.
Are they similar legally or dissimilar?
Or other very PII type of stuff. :/