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\KILLER INN 大堪能!/ 鶴見ゆきと熊沢世莉奈が『KILLER INN』をプレイ! いかがでしたでしょうか〜🙌🏻 急遽プライベートマッチを開催!! なんとなんと!! 声優部員の福沙奈恵さんや「KILLER INN」ディレクターの渕上さんも飛び入り参戦👊🏻❤️‍🔥👊🏻 視聴者さんもご参加ありがとうございます~! 総勢12人数が集まり賑やかなプライベートマッチになりました〜! 鶴ちゃん熊ちゃんの"せすぽ昔ばなしコンビ"も結成された面白い配信になったのではないでしょうか…!🧸🪿 この配信の感想はぜひ、#声優esports部# で教えてくださいね! ゲームの感想は #キラーイン# をつけて、ぜひご投稿ください! アーカイブへのコメントや切り抜き希望箇所のご指定もお待ちしてます〜!
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KILLER INN(キラーイン) 本日20時から #声優esports部# で配信します! リハからしてワイワイしてます ◆プレイヤー ・鶴見ゆき @tsurumi_yuki ・熊沢世莉奈 @kuma_Seri
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#valuescan# 自从用了valuescan 发现自己选标竟然干不 过ai了,大盘分析人工也干不过ai分析了。 老能抓到暴涨币 #lab# 277.3% #h# 197.1% #esport# 82.85% #home# 50.72% #hype# 31% #wld# 16% 少亏钱,多赚钱,多用valuescan 福利,社区发帖最高可获得3个月svip 填邀请码 FQLXQN,立马获得5天vip体验 链接:
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Today I am announcing META-Bench, the first pure intelligence benchmark for AI. It leverages the hit auto-battler strategy game, TFT. I SWEAR I AM NOT TROLLING let me explain. The industry suffers from labs overfitting and giving us models that score high despite being fundamentally low IQ. Over the years there have been many attempts at benchmarking AI with competitive gaming. I am going to explain the failure points, and why META-Bench is truly the first of its kind. Chess. When picking a game to benchmark with, chess is the obvious first choice. It has clear rules, large player base, and a well defined elo system. The issue with static rule games though is that the best strategies can be figured out ahead of time and baked into the model during the training process. Too easily hacked. Memorizing more strategies is not a proof of intelligence. Dota2/ League. We’ve all heard of OpenAI Five. The issue with benchmarking on a MOBA is that reaction speed is a meaningless metric. We do not need our highly intelligent AI to be able to respond at the speed of top human pro players. And truth be told, we are years away from a LLM that is able to play MOBAs at the highest levels off of vision alone, even though the problem is seemingly solved years ago. What we need is a game that: - Has defined rules but cannot be results hacked during the training process - Large ecosystem of human players - Clear cut results and an elo system - Results that is not reaction time dependent There is only ONE game in the world that meet all the requirements needed for this benchmark. Teamfight Tactics. For those unfamiliar, TFT is a strategy based auto-battler created by Riot Games with ~100 million monthly active players worldwide. It is a highly competitive multiplayer turn based game. It’s as if Chess and League of Legends had a baby that’s born to be an AI benchmark: - There is a new set released every 3 months. - Time limitations in the 10-40 second range rather than the milliseconds required for MOBAs - Skill based enough for esports yet uncertain enough to require reasoning over hard scripts “Can’t labs just train models to be good at TFT?” Nope and the reason why it’s unhackable comes down to how the benchmark itself is set up. Due to the fact that the entire game is changed every 3 months and patched every 2 weeks, any data on a previous TFT set is effectively useless when it comes to raw pattern recognition. Strategy wise, there are core concepts that carries over from set to set. That’s why we have the same players hitting the highest elo every season even though each set is so different. Any efforts at overfitting here can be fully negated if the benchmark harness used for all models has every core strategy built in. You are never going to beat a carefully curated harness layer with strategy training at the model layer. By presenting the models in the harness with the same core strategic concepts, the only difference in outputs will be its ability to reason across the different scenarios of each game. The luck elements of TFT already ensures that no 2 games will be the same in the reasoning required. Run the models against each other enough times and you will have a clear winner. Aka, the world’s first true IQ test for AI. I really, really want to know which AI model would win this. So I am going to build this. Not too sure how I’m going to fund it yet so if you would like to invest HMU. I’m also looking to put together a small team of individuals who are both high elo in TFT and highly experienced with agentic AI. And if you are even remotely curious on the results, like and help share this post 🫡
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BREAKING: ASUS has unveiled the world's first 24.5” OLED gaming monitor. Designed for esports, it combines a tournament-friendly screen size with an astonishing 540Hz refresh rate. It may also be the world's smallest OLED gaming monitor… can anyone name a smaller one?
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Fala, professor! 🏴🏳️ Fernando Diniz comentou sobre o desempenho do Corinthians na fase de grupos da Conmebol Libertadores. 📹 Lucas Barreiros / Central do Timão 👉Apoio: @esportesdasorte | Jogue com responsabilidade🔞
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“Eu acho que meu trabalho aqui não está feito” 🏴🏳️ Memphis Depay comentou sobre sua renovação contratual com o Corinthians. 📹 Rodrigão da Fiel e Vinicius Lúcio / Central do Timão 👉Apoio: @esportesdasorte | Jogue com responsabilidade🔞
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我们散户真的是太惨了 刚经历esports出货暴跌 现在gua又出货暴跌 这种快速下跌根本不给人反应的机会 狗庄为刀俎,散户为鱼肉 你想着靠山寨币赚点钱 人家却想着怎么收割你的本金 对山寨币千万不能有感情 更不能有格局
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\ 🪿配信告知🧸 / 6月3日(水) 20時〜 鶴見ゆき・熊沢世莉奈が「KILLER INN/キラーイン」をプレイ! 📅6月3日(水) 20時〜 🪿鶴見ゆき(@tsurumi_yuki ) 🧸熊沢世莉奈(@kuma_Seri ) 🎮KILLERINN/キラーイン   🔗 早期アクセス版がリリースされたばかりのこのゲーム! なんと今なら300円で買えちゃいます🤩 これを機に2人と一緒にキラーインを始めちゃいましょう👊🏻👊🏻 #声優esports部# #キラーイン#
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Elon Musk: "My reflexes aren't what they used to be, but I have a lifetime of playing video games. At one point I was maybe one of the best Quake players in the world. I won money for what I think was the first paid esports tournament in the US."
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