Christopher Finlan

Time to Automate: Why Sports Card Grading Needs an AI Revolution As I head to the National for the first time, this is a topic I have been thinking about for quite some time, and a recent video inspired me to put this together with help from ChatGPT’s o3 model doing deep research. Enjoy! Introduction: Grading Under the Microscope Sports card grading is the backbone of the collectibles hobby – a PSA 10 vs PSA 9 on the same card can mean thousands of dollars of difference in value. Yet the process behind those grades has remained stubbornly old-fashioned, relying on human eyes and judgment.

Time to Automate: Why Sports Card Grading Needs an AI Revolution

As I head to the National for the first time, this is a topic I have been thinking about for quite some time, and a recent video inspired me to put this together with help from ChatGPT’s o3 model doing deep research. Enjoy!…

Humans + Machines: From Co-Pilots to Convergence — A Friendly Response to Josh Caplan’s “Interview with AI”

1. Setting the Table Josh, I loved how you framed your conversation with ChatGPT-4o around three crisp horizons — 5, 25 and 100 years. It’s a structure that forces us to check our near-term…

🎩 Retire Your Top Hat: Why It’s Time to Say Goodbye to “Whilst” There’s a word haunting documents, cluttering up chat messages, and lurking in email threads like an uninvited character from Downton Abbey. That word is whilst. Let’s be clear: no one in the United States says this unironically. Not in conversation. Not in writing. Not in corporate life. Not unless they’re also saying “fortnight,” “bespoke,” or “I daresay.” It’s Not Just Archaic—It’s Distracting In American English, whilst is the verbal equivalent of someone casually pulling out a monocle in a team meeting. It grabs attention—but not the kind you want.

Please - don't use whilst.

The Rise and Heartbreak of Antonio McDyess: A Superstar’s Path Cut Short

Microsoft Fabric Capacity Management: A Comprehensive Guide for Administrators (using ChatGPT’s Deep Research) Author's note - I have enjoyed playing around with the Deep Research capabilities of ChatGPT, and I had it put together what it felt was the definitive whitepaper on Capacity Management for Microsoft Fabric. It basically just used the Microsoft documentation (plus a couple of community posts) to pull it together, so I'm curious what you think. I'll leave a link to download the PDF copy of this at the end of the post. Executive Summary Microsoft Fabric capacities provide the foundational compute resources that power the Fabric analytics platform. They are essentially dedicated pools of compute (measured in Capacity Units or CUs) allocated to an organization’s Microsoft Fabric tenant.

Enjoyed putting this together with ChatGPT's Deep Research capabilities - let me know if you like it!

Microsoft Fabric Blog Keep up with the latest Microsoft Fabric updates, announcements, information, & new features on the Microsoft Fabric blog. Search by category or date published.

The team worked a long time to make this a reality for folks - so excited it is finally here!! True serverless billing for Spark in Fabric!

Introducing Autoscale Billing for Spark in Microsoft Fabric - blog.fabric.microsoft.com/en/blog/intr...