TechCrunch News 09月23日
棒球队尝试AI管理,引发球迷争议
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美国独立棒球队奥克兰球星队(Oakland Ballers)在最近的一场比赛中,让AI系统代替主教练进行实时管理,旨在探索“玩转概率”的新方式。该AI由Distillery公司开发,基于ChatGPT,通过学习一个多世纪的棒球数据和分析来模拟主教练的决策。比赛过程中,AI在投球更换、阵容调整和代打选择上均与人类教练Miles的决策一致,仅在一次替补捕手因病需要替换时,Miles才不得不手动介入。尽管此次AI管理实验在技术层面较为成功,但却在球迷群体中引发了强烈反弹,许多球迷认为这是对传统棒球的背离,并联想到近年来球队离开奥克兰的事件,表达了对技术过度应用和忽视球迷情感的担忧。球星队创始人Freedman表示,此次实验并非为了取代人类教练,而是作为优化决策的工具,并承认此次尝试并未达到预期效果,未来可能不再重复。

⚾️ **AI在棒球比赛中担任临时管理者:** 奥克兰球星队(Oakland Ballers)与AI公司Distillery合作,使用基于ChatGPT的AI系统在一场比赛中进行了实时管理。该AI通过学习海量棒球数据,模拟了球队主教练Aaron Miles的决策风格,旨在探索数据驱动下的管理新模式。

📊 **AI决策与人类教练高度一致:** 在比赛过程中,AI在投球更换、阵容构建和代打选择等关键环节做出的决策,与主教练Miles的预期几乎完全一致。AI仅在一次因捕手生病需要替补的情况下,被Miles手动覆盖,显示出AI在遵循既定策略方面的能力。

😠 **球迷强烈反对,担忧技术过度介入:** 此次AI管理尝试引发了部分球迷的强烈不满,他们认为这是一种对传统棒球的背离,并将其与球队过去离开奥克兰的事件联系起来,表达了对技术过度追求“胜利”而忽视情感和社区联系的担忧。

💡 **AI作为辅助工具,而非替代品:** 球星队创始人Paul Freedman强调,AI在此次实验中扮演的是优化决策的工具角色,而非取代人类教练的智慧和判断力。他承认此次实验并未完全达到预期效果,并表示未来可能不再重复此类尝试,但认为引发关于新技术应用的讨论是有益的。

There’s a classic Simpsons episode in which the sly businessman Mr. Burns recruits real Major League Baseball players to join his company softball team in order to win a bet. But when the championship is on the line, Mr. Burns pulls eight-time National League all-star Darryl Strawberry for a substitute, Homer Simpson.

“You’re a left-hander, and so is the pitcher. If I send up a right-handed batter, it’s called playing the percentages,” Mr. Burns says to Strawberry. “It’s what smart managers do to win ballgames.”

High-level baseball is very mathematically-driven, with teams hiring dozens of data engineers to study granular statistics that can inform managerial decisions. But like Mr. Burns in that Simpsons episode, it’s tempting to overanalyze baseball statistics to the point of absurdity.

The Oakland Ballers, an independent Pioneer League baseball team, took that concept of “playing the percentages” to the next level: they let an AI manage the team for a game.

The Ballers were founded by edtech entrepreneur Paul Freedman as a salve to the departure of the beloved Oakland A’s, the Major League baseball team that owner John Fisher ripped away from local fans in what’s regarded as one of the most insidious managerial moves in sports history. Though they’re not a Major League team, the Oakland Ballers – coyly, the Oakland B’s – established an unprecedented national community of fans who rallied around the team in protest of the A’s departure. After just two seasons, the Ballers just won Oakland’s first baseball title since 1989.

“The Oakland Ballers uniquely have the experience of being like a major league team in a minor league market,” Freedman told TechCrunch. “We can have creative flexibility. We can play with things and experiment with things way before the MLB or NBA or any of those leagues could do something.”

Minor league baseball organizations are often called upon to test new technology before it gets implemented in the majors, like challenging calls with instant replay footage or the automated ball-strike system. The Ballers embraced this attitude, especially given Freedman’s own background in tech, but have added in a dash of whimsy, piloting things that would never actually debut in Major League Baseball.

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Last year, this meant partnering with Fan Controlled Sports to let fans make managerial decisions during one late season game. The Ballers ended up losing that game, in part because fans advocated for the funniest possible managerial decisions, rather than the savviest – at one point, the fans called upon a pitcher to pinch hit.

This time around, once the team clinched their postseason berth, the Ballers partnered with the AI company Distillery to commission AI software that could manage a baseball game in real time.

“Baseball is the perfect place to do an initial experiment like this, because it is so data-driven, and decisions are made very analytically,” Freedman told TechCrunch. “You have the pace to be able to do something literally after every pitch.”

Distillery trained OpenAI’s ChatGPT on over a century’s worth of baseball data and analytics, including Ballers games, to approximate what decisions Ballers manager Aaron Miles would make.

“What the AI did was figure out what our human coach would have done – the ingenuity on strategy and the concepts came from [Miles], and the ability to use the data and recognize patterns… is what the AI did throughout the course of the game,” Freedman said. “So I think the role of human ingenuity is safe for now, and AI is a tool to be deployed to optimize decisions, but not to make them.”

The AI-controlled game went smoothly – in fact, the AI made all of the same choices regarding pitching changes, lineup construction, and pinch hitters that Miles would have made. The only time that Miles had to override the AI was to replace the starting catcher with his backup, since he was sick.

Miles took his temporary replacement by AI in stride – perhaps because he knows that his job is not actually in jeopardy. In a video posted to the Ballers’ Instagram, Miles walks to home plate before the game to shake hands with the opposing team’s manager – only instead of offering his own hand, he extends the tablet running the AI out for a handshake.

But the use of AI struck a nerve for Oakland fans, who see companies like OpenAI – which powered Distillery’s baseball AI – as enterprises that prioritize “winning” the AI race over shipping products that have been properly tested for safety. For many fans, the AI experiment felt like a betrayal, similar to the kind of corporate greed that pushed three professional sports franchises out of Oakland in five years.

“There goes the Ballers trying to appeal to Bay Area techies instead of baseball fans,” one commenter wrote. “It’s so over for Oakland.”

This backlash wasn’t what the Ballers expected, and Freedman does not intend to repeat this AI experiment. But the reaction of the fans models a larger cultural tension in baseball and beyond.

“It never feels good to have your fans be like, ‘We hate this,’” Freedman said. “But it’s not a bad thing that there’s more of a conversation about the pluses and minuses of this new technology now, as opposed to like, a decade later when it’s too late.”

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奥克兰球星队 AI管理 棒球 人工智能 Oakland Ballers AI Management Baseball Artificial Intelligence
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