One of the most popular criticisms of generative AI tools is that they often “hallucinate,” or make up information, making them a bit unreliable for certain high-stakes tasks. To help you combat hallucinations, we recommend you try out the following tips in your own use of generative AI. You might find that you get better, more reliable outputs as a result.
Macro Systems Blog
With AI entering the mainstream, more businesses are implementing these tools into their daily operations. Tasks like drafting emails, brainstorming for a new project, or debugging code have all been made easier. Here’s the secret to making the most out of AI: you get out what you put in. What do we mean by this? Let’s find out.
Artificial intelligence is a hot topic these days; most businesses are utilizing it for a multitude of things. With everyone all-aboard the AI train, it’s easy to confuse the computational power and speed AI offers to be infallible. Alas, AI can get things going sideways if you aren’t careful. When it does go wrong, the consequences can be more than just an inconvenience.
Listed below are some of the most important ways AI can go wrong:
Pop culture has given us a vivid, if often frightening, impression of artificial intelligence. When we hear AI, many still picture calculated malice: a HAL 9000, a Skynet, or an Ultron.
The real potential of AI is far more productive; it's less about calculating world domination and more about becoming your organization's most helpful collaborator. Think of it as a JARVIS for your executive team or an R2-D2 for your operational staff: a powerful tool that assists your team in generating ideas, solving complex problems, and completing high-volume tasks. Critically, maximizing this potential doesn't require new hardware; it requires sharpening the very soft skills we already value in our top performers: curiosity, empathy, and resilience.
Did you know that during World War II, Allied codebreakers didn't only crack the German Enigma code with pure math? They also used clever tricks, like baiting the Germans into sending predictable messages, to expose the machine's inner workings. History proves this approach worked then, and, unfortunately, continues to work now.
This art of manipulating a system to reveal its secrets has found a new, high-tech home in the world of artificial intelligence. It's called prompt hacking, and it's basically a form of digital social engineering aimed directly at the AI models businesses are starting to rely on.
AI has revolutionized the way businesses operate, streamlining numerous tasks and changing how knowledge-based businesses function in record time. One of the ways that businesses are utilizing AI is customer support, but how effective is it really? Is there any merit to maintaining the human element of your customer service, or said in a different way, what can human customer support offer that AI cannot?
AI is no longer a futuristic concept; it's a powerful tool that smart business owners utilize to their advantage. Many companies struggle to move beyond the hype and effectively integrate AI into their operations. Making the most of your AI initiatives requires a strategic approach. Listed below are five essential tips to help you succeed.
As the water cooler whispers about artificial intelligence grow louder, workers are actively becoming worried about the status of their jobs. The idea of robots taking jobs can sound alarming, but knowledge is power. By comprehending how AI works and what it can do for a business, employers and employees alike can gain some perspective and peace of mind.
Smart speakers have been around for a while, but they haven’t exactly changed the world. To be fair, they are good for playing music, setting timers, and answering random trivia questions, but beyond that? Not much has evolved. So, how did we get here, and what’s next? More importantly, can they actually be useful for businesses, or are they just another gadget collecting dust?
Besides all of those people who are advocating for the scaling back or non-implementation of tools to save jobs, most people understand the benefit of automation when it makes sense. Not only do machines tend to do certain tasks more effectively, they never willingly take a day off. Alas, for every task that needs to be completed less than half can be automated, and that number drops even further when you take into account everything a human does at their job. These days there are very few jobs that can be fully automated, even as AI has begun to be utilized more for business. Listed below: why automation may not be the answer you are looking for and why training humans holds a lot of value.
The big thing in business computing is AI, or artificial intelligence, and businesses are implementing it to solve a lot of repetitive issues that free up their employees to serve other roles. One such area is for IT support. But is it worth it to chat with a robot when something as imperative as IT is on the line?
Artificial intelligence is everywhere, and it is making data more valuable than ever. This is because AI platforms rely heavily on data to function effectively. Many platforms and services gather data from their users to fuel these algorithms. LinkedIn has recently been found to do this—by default—without properly informing its users or updating its terms of service.
One of the many tasks undertaken by the United Nations is to protect human rights around the globe while also working to develop more sustainable and climate-friendly development. As such, the UN has recently taken an interest in the development of artificial intelligence, hoping to create guidelines that allow us to get the most value out of AI without creating more significant problems.
Businesses are constantly trying to find a way to best utilize their data. Whether it is creating a business intelligence strategy, integrating artificial intelligence, or for simple analytics, without having accurate, reliable data, the insights you derive can be misleading and end up costing you. That’s why it is critical to know how to scrub or clean your data. Having access to clean data is essential for anyone involved in business intelligence or AI. Listed below is a simple guide to help you get started.
While AI is far from perfect, there are ways that it can help do something mundane or speed up a workflow here or there. I’m no expert in Photoshop either, so if I need to edit something, I usually depend on someone with a little more experience, but this was a really neat trick I was able to do in just a few minutes!


