"I feel like 100 is the new 95," said Los Angeles Dodgers reliever Will Klein, who first hit 100 in a summer ball all-star game in 2020 and expects to again this season, having topped out thus far at 98.8 mph. "It used to be, 'You throw 95, that's gas.' Now, it's 100. And now you see starters out there sitting 100."
Super shoes and ultralight gear make a difference, but with new advancements in artificial intelligence (AI) that can look at our running form and compare it to the ideal, analyze our nutrition intake from a simple photo and help us plan our diets, and offer guidance on training and recovery, the interwovenness of technology and running is only set to increase.
Why does everyone feel overwhelmed by information? Why does it feel impossible to trust what passes through our streams? We tend to blame individual publications, specific platforms, or bad actors. The real answer has less to do with any single media entity and more with structural changes in the information ecosystem. I started my "information" life typing copy on an ill-tempered Remington.
We're investing a lot in AI - we're doing a lot, but we're stopping at individual productivity. We're not taking the next step. You can't just screw AI on everything - it only makes you faster. It means you need to think about, 'how are our teams collaborating? How are people collaborating?' You probably need to change the way you work.
"The job didn't fail. It just... never finished." That was the worst part. No errors.No stack traces.Just a Spark job running forever in production - blocking downstream pipelines, delaying reports, and waking up-on-call engineers at 2 AM. This is the story of how I diagnosed a real Spark performance issue in production and fixed it drastically, not by adding more machines - but by understanding Spark properly.
Imagine you're selecting an influencer to work with on your new campaign. You've narrowed it down to two, both in the right area, both creating the right sort of content. One has 24.6 million subscribers, the other 1.4 million. Which do you choose? Now imagine you could find out the first had 8.7 million unique viewers last month, while the second had 9.9 million. Do you want to change your mind?
AI was everywhere, but I wasn't focused on product launches. I was looking at how companies think about data itself: how it's shared, governed and ultimately turned into decisions. And across conversations with executives and sessions on security and compliance, a pattern emerged: the technical limitations that once justified locking data down have largely been solved. What remains difficult is human. Alignment, trust and confidence inside organizations are now the true barriers.
Next Gen Stats began in 2015, when the National Football League deployed RFID chips in player shoulder pads and even in the football itself, enabling the league to capture location data multiple times per second through sensors installed throughout stadiums.
