Pushing products on people that do not want them is not a good thing.
Luckily the EU has made it possible to remove Edge and Onedrive. I hope they will add Copilot soon.
IMHO there should be a clear line between what is on the computer and what is on the cloud, unless I opt-in otherwise for things like backup.
Similarly there should be a clear line when it comes to #AI. It must be clear when my data is local and when it is used for AI. What I do locally on my computer should not feed AI.
Microsoft Copilot for Finance redefines risk management, empowering organizations to fortify financial controls and mitigate risks effectively. Tailored for finance professionals, Copilot offers a comprehensive suite of features designed to enhance visibility, enforce compliance, and optimize decision-making processes....
"Microsoft is asking investors to "temper" expectations for quick financial returns from Copilot amid efforts to convince customers that paying "substantial" sums each month is actually worth it. After trialing the use of Microsoft's GenAI in their workflow, testers told the Wall Street Journal that they had mixed feelings about it, saying it was useful but maybe didn't yet justify the price tag."
Perhaps--and hear me out--just perhaps it was a bad idea to name everything #copilot and charge for every version of that copilot separately. Enterprises do know when they're being scammed and so do individual users.
I mean $30 per user per month on top of already exorbitent pricing for enterprise licenses and then charging for security per user or for additional copilots. I realize training and running #LLMs and other #GenAI services is expensive; they should have considered this before hand.
I am currently the only individual in my organization who has a Microsoft 365 Copilot license.
In other words, I am the pilot for the Copilot pilot program.
So far, I have not seen any set-the-world-on-fire (metaphorically) capabilities for this set-the-world-on-fire (literally) technology. Having Copilot summarize long email threads is pretty good. But its much-touted ability to synthesize data from across the Microsoft tenant is, so far, not impressive.
This release of #visualstudio brings additional tools to help you improve your code reviews with #copilot, diagnostics improvements, as well as additional Extensibility and WinForms enhancements.
GitHub #CoPilot suggested this for the DB Name. I wonder if I can find the rest of the connection string. Also, let this be a lesson is making sure you do not commit sensitive information to #GitHub
Forgive me for asking what is likely a stupid question, but I think my fellow geeks and nerds might be able to help me out. I've been playing around with #ai lately and see many ways that it could be beneficial for productivity. However, I do have some concerns about giving over so much data to #chatGPT or Microsoft #copilot. I see there are a couple of ways to run AI locally, even on a #raspberrypi. As a dopey biologist with no coding experience, is this something I could do? Is it worth it?
Noticed that developing with access to my personal data is dangerous, given random dependencies and auto-updating Code extensions…
Set up a nice local #nixos container for dev stuff…
Hoped to keep all tokens and keys out of it (would run git push outside that container)…
Only to notice that #Github#copilot only works with a full-access github token… sigh.
Anyways, still an improvement. Blog post to follow.
An artificial intelligence engineer at Microsoft has warned the company of the dangers of its image-generating system Copilot, referencing the ease in which the technology produces disturbing images that anyone could stumble upon. According to the engineer, Microsoft has failed to address his concerns, leading him to write public letters and flag the issue with U.S. senators.
They seek to obtain #research access to internal #Microsoft data to check whether and how the company is making sure its not-so-intelligent #AI#Copilot isn't bullshitting around in dangerous ways.
I love to imagine how the plateau of productivity would look for recently-triggered technologies going through the volatile part of the Hype Cycle. In the latest Register Spill @mrnugget paints a pragmatic "day in the life" view of how he uses an LLM-based AI (ChatGPT4) to help him figure out those hard but routine problems that constantly crop up during programming: https://registerspill.thorstenball.com/p/how-i-use-ai?r=1qshh&utm_campaign=post&utm_medium=web
AI tools have gone through a roller coaster hype over the past year – sometimes wildly disconnected from the quantifiable improvements or limitations in performance. I've been happy to put down money to use some of these tools for everyday productivity, but I also understand why many people reserve a healthy scepticism.
And yet, I sometimes encounter an almost fanatical kickback against the use of ML tools. A couple of months ago someone straight-out blocked me when I mentioned that the Cody plugin for #Neovim can quickly solve a slightly tiresome reformatting task.
Any tool is as good as the craftsperson, and LLM tools like #ChatGPT, #Copilot, #Cody and others can be incredible hammers to drive in nails in tough areas. But as the old adage goes: To the poor craftsperson any problem demands the one tool they know. We shouldn't blame the tool for that.
Let's be great craftspeople and use many tools – and understand the value and limitations of each.
Revolutionizing Risk Management: Microsoft Copilot in Finance
Microsoft Copilot for Finance redefines risk management, empowering organizations to fortify financial controls and mitigate risks effectively. Tailored for finance professionals, Copilot offers a comprehensive suite of features designed to enhance visibility, enforce compliance, and optimize decision-making processes....