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Content creators drop the ball

During Naomi Osaka's match against Anastasia Zakharova at this year's US Open earlier this week, a gaggle of ring light-wielding influencers who were packed in a luxury suite became enough of a distraction that the umpire paused the match and repeatedly asked them to quiet down. Elsewhere in the USTA Billie Jean King National Tennis […]

2026-09-05 原文 →
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I went to the loneliest baseball game on Apple Vision Pro

This weekend, I strapped on an Apple Vision Pro to watch a baseball game in immersive virtual reality for the first time. It was technically impressive, visually pretty remarkable, and also didn't make that much sense. Apple and Major League Baseball chose a classic match-up of the Boston Red Sox and the New York Yankees […]

2026-09-01 原文 →
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ESPN streaming plans are getting more expensive

ESPN is hiking the price of its subscription on September 17th, a change that will also impact its bundles with Disney Plus. In a support page spotted earlier by Sports Media Watch, ESPN says its ad-supported Select membership will cost $13.99 instead of $12.99 / month, while its Unlimited plan will rise to $31.99 from […]

2026-08-24 原文 →
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Humanoid robots smash Usain Bolt’s 100-meter record

The 9.58-second 100-meter dash record set by Usain Bolt in 2009 has been outpaced by Chinese robots participating at the World Humanoid Robot Games in Beijing. In a preliminary heat on Saturday, Tiangong Ultra, made by the Beijing Humanoid Robot Innovation ​Center, ran the distance in 9.39 seconds, followed by the Honor-developed Lightning at 9.47 […]

2026-08-24 原文 →
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The women’s soccer league trying to fix fantasy sports

Most fantasy sports leagues suffer the same problem: retention. Leagues play out over monthslong seasons, require regular attention, and can punish players severely for missing even a single week. I've started Fantasy Premier League (FPL) multiple times, but never finished a season. That's a problem for any fantasy league, but especially so for a new […]

2026-08-19 原文 →
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49ers coach says his Tesla was on Autopilot when he crashed

Four weeks ago, San Francisco 49ers coach Kyle Shanahan was involved in an accident near downtown Palo Alto. At the time Shanahan said only that the accident was his fault. But during a recent press conference he shared more details about the incident, including the fact that he had his Tesla's Autopilot engaged at the […]

2026-08-09 原文 →
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Why We Built MicroLeague Sports Vol. 3

Why Sports Data Is Harder Than Most People Think Building believable cross-era simulations turned out to be less about the engine and more about the data underneath it. Here is what we learned. MicroLeague Dev Blog, Vol. 3 By Eddie Solar When we started building MicroLeague Sports, I assumed the simulation engine would be the hard part. The vision was ambitious enough to justify that assumption. Let fans ask whether the 1996 Bulls beat the 2017 Warriors. Whether the 1985 Bears could slow down Patrick Mahomes. Which Cowboys team was actually the greatest. Teaching software to play those games across eras felt like the mountain. I was wrong about which mountain it was. The engine is hard, but it is a solvable, bounded kind of hard. The data underneath it is a different animal. Like most developers approaching this for the first time, we figured sports data was largely a collection exercise: gather historical teams, player stats, schedules, and box scores, feed it to the model, done. That assumption fell apart almost immediately, and the reason it fell apart is the subject of this article. Sports data is not a collection problem. It is an identity problem. Franchises do not stay the same thing. Players are not one entity. And the historical record does not agree with itself. The Real Problem Is Modeling Identity Over Time Volume 2 covered the era problem: statistics are confounded by the conditions that produced them, so a raw number pulled across decades lies to you. That is a normalization challenge, and it is real. But normalization assumes you already know what you are normalizing. Before you can compare the 1992 Cowboys to the 2023 Chiefs, your system has to have a confident answer to a more basic question: what exactly is a "team," and what exactly is a "player," when your dataset spans a hundred years? Those sound like trivial questions. They are not. They are the questions that ate most of our early engineering time, and getting them wrong quietly corrupts ever

2026-08-07 原文 →
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Spotify Running Mode helps match tunes to tempo

Spotify has introduced a new Running Mode feature that makes it easier to curate playlists around your workout goals, music tastes, and desired beats per minute (BPM). The aim is to help you "spend less time hunting for the right music and more time moving," according to Spotify's announcement, providing customizable running presets and optional […]

2026-07-30 原文 →