Until we either solve the problem of LLMs providing false information or the problem of people being too lazy to fact check their work, this is probably the correct course of action.
I can’t imagine using any LLM for anything factual. It’s useful for generating boilerplate and that’s basically it. Any time I try to get it to find errors in what I’ve written (either communication or code) it’s basically worthless.
My little brother was using gpt for homework and he asked it the probability of extra Sunday in a leap year(52 weeks 2 days) and it said 3/8. One of the possible outcomes it listed was fkng Sunday, Sunday. I asked how two sundays can come consecutively and it made up a whole bunch of bs. The answer is so simple 2/7. The sources it listed also had the correct answer.
All it does it create answers that sound like they might be correct. It has no working cognition. People that ask questions like that expect a conversation about probability and days in a year. All it does is combine the two, it can’t think about it.
I’m lead 365 admin for a major corporation and have been working with MS to identify if Copilot would be beneficial and secure for my org. Some major takeaways from my recent meetings with them:
There’s two parts to Copilot. 1. Copilot 2. Copilot for 365.
The first is basically Chat GPT. It reaches out to the web to get info and essentially works as a search engine.
The 2nd part is internal only. It can do things like summarize meetings, compare documents, and search your emails. It abides by the same security, compliance, encryption, and DLP policies as the rest of your tenant.
You can open up access to one or both.
Government tenants are a unique case. There’s a specific 365 license for government entities, and their offerings are different from other organizations. This news article isn’t surprising - all new 365 offerings take a while before they’re available to government licenses. It will eventually be available.
Few questions about that, unless they’re literally taking their model and putting it into your own box using it’s own compute power, I don’t see how that’s possible. They can call it “your” copilot all they want but if they’re reading your data and prompts and computing that on their own box then they’re using your data, right?
Major organizations use encryption where they hold the keys so Microsoft is unable to read their data. They can have thousands of servers running on Microsoft’s Azure stack and yet Microsoft is unable to read the data that is being processed.
Thanks for the explanation
If all auditors are uncorrupted, highly competent and have full overview. Boeing was able to corrupt it’s government auditors to save some money on redundant sensors. With Microsoft pushing big on gathering and selling data I wouldn’t trust a byte that passes their server.
Did anyone expect otherwise?
