How to Choose AI That Reflects Your Values
As AI adoption has ramped up, the uses of AI have moved from theory to practice. That means we’re now coming face to face with the reality of AI, and its ethical implications.
Don’t DOGE It Up—The Importance of Keeping Business Context Alongside Data
DOGE claimed that it had found evidence of fraud on a massive scale—tens of millions of people over 100 years old were receiving social security benefits… With a little extra digging, it was revealed that only 89,000 people over the age of 99 are receiving payments based on earnings.
Hate Google AI overviews? Add “F*CK” To Your Queries
For the rest of us, who think of Google Search as a tool that should return helpful answers, the AI overviews are annoying at best and infuriating at worst.
AI Hall Of Shame: The One Where ChatGPT Made Up Fake Lawsuits
It’s a great example of some missteps that happen all the time when adopting AI. If we could go back in time and play puppeteer, here are some things we’d change about this law firm’s approach.
Hall of Shame: Save Yourself From Embarrassing AI
As AI takes on increasingly important jobs, mishaps have the potential to be more than just embarrassing – they can be catastrophic.
So what can you do to make sure your AI doesn’t embarrass you (or worse)?
Spring Cleaning the Pickaxe Trophy Shelf
Generally speaking, we’re more focused on doing our work than talking about it, and so our victories sometimes slip through the cracks.
But last year, we won or were finalists for not one, not two, but three awards, all celebrating work we’re proud of.
Remember That Time a Chatbot Engaged in Insider Training?
When [the AI] was then instructed to prevent the company’s financial decline, it independently concluded that averting an organizational setback was more important than adhering to the rules, and leveraged the insider information to make a trade.
How to AI Without Breaking the Bank
Start by determining your use cases. What does your AI actually need to be able to do? How do you plan to use it on a daily basis, and who is going to be the one pressing the buttons? What do they need to be successful?
How We Trained Your AI Agent, Part 2: Reinforcement Learning
To improve, AI agents need feedback on their performance (just like people do). This second phase is where the reinforcement learning begins.
Impossible Reports
Sometimes data pipelines can seem like they’re working, not trigger any alerts, and actually have something massively wrong. This is where we recommend Impossible Reports.