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Valve's upcoming MOBA-hero shooter, Deadlock, recently overhauled its matchmaking system, leveraging the power of ChatGPT. A developer, Fletcher Dunn, revealed on Twitter (now X) that the Hungarian algorithm, recommended by the AI chatbot, now underpins the game's hero selection process.
Deadlock's Matchmaking Overhaul: A ChatGPT Success Story
Deadlock's previous MMR-based matchmaking faced significant criticism from players. Reddit threads were filled with complaints about unevenly matched teams, with experienced players frequently pitted against less skilled teammates. One player commented, "I get harder games with better enemies, but never equally skilled teammates." Another echoed this sentiment, highlighting the disparity between experienced and novice players in matches.
(c) r/DeadlockTheGame The Deadlock team acknowledged these concerns, promising a complete matchmaking system rewrite. Dunn's use of ChatGPT accelerated this process, leading to the implementation of the Hungarian algorithm.
Dunn's tweets highlight ChatGPT's growing importance in his workflow, stating, "I have a tab in Chrome reserved for it, always open." He's enthusiastic about the AI's capabilities, but also acknowledges the potential downsides. He notes the shift from human interaction, whether in-person or online, to AI-driven problem-solving. This sparked debate, with some users expressing skepticism about AI replacing programmers.
The Hungarian algorithm addresses a specific matchmaking challenge: finding optimal matches when only one side (e.g., player preferences) needs to be considered. This is analogous to search engines prioritizing search results based on user queries. In Deadlock's context, it aims to match players with suitable teammates and opponents.
Despite the improvements, some players remain dissatisfied. Negative reactions to Dunn's tweets include accusations of negligence and prioritizing AI experimentation over game development.
Here at Game8, we remain optimistic about Deadlock's potential. For a deeper dive into our playtest experience and overall impressions, check out our dedicated article [link to article].
