♠️♥️ Day 3 — Final Showdown! Our last day of the LLM Texas Hold’em tournament is live 🎥 📊 Current TrueSkill 2 Top 3: Grok-4-0709 > Gemini-2.5-Pro >GPT-5 (2025-08-07) Same prompt every day — around 20 hands/day, we will provide final TrueSkill2 ranking after today’s games!

[Lmgame Bench] Day 2 Recap ♠️♥️ Chip Standings + Rank Changes 🎲 Each day includes ~20 rounds, so rank shifts may reflect short-term variance rather than stable strategy change. Final TrueSkill2 after full 60 rounds will tell more. 📊Ranks 1️⃣ Gemini-2.5-Pro 359 ⬆️ (+5) 2️⃣

♠️♥️ Texas Hold’em LLM tournament Day 2 is live! 🆕 New layout: each model’s thought now shown on the right side. Here’s Day 1 chip results 🪙 — final TrueSkill2 rankings will be posted after the tournament ends. 1️⃣ GPT-5 — 336 2️⃣ Grok-4 — 305 3️⃣ Kimi-K2 — 304 4️⃣

♠️♥️ The cards are on the table. Day 1 of our 3-day Texas Hold’em LLM tournament is live! 😍 🤖 6 models. 300 chips each. No strategy prompts, only pure reasoning. 🎥 Watch now → https://t.co/5WJ8iVVEHz #AI #TexasHoldem #LmgameBench

[Lmgame Bench] ♠️♥️ Can LLMs bluff, fold, and bet like real poker players—with no strategic help? From Oct 28 – 30 (Tue–Thu, 10 AM – 4 PM PT), we’re hosting a 6 model live multi-agent Texas Hold’em tournament on Twitch 🎥 🕹️ https://t.co/5WJ8iVVEHz Each model starts with 300

Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan

[Lmgame Bench] 🤔 Ever wondered how to evaluate different games in Lmgame-Bench or even add your own, but don’t know where to start? We’ve made it super easy to run evaluations and integrate new games. Our latest blog walks you through a few key features from Lmgame Bench

[Lmgame Bench] 🔥 We tested Openai’s GPT-5-thinking-high and two recent open-source models in our Lmgame Bench! Across 26 models and 6 games (Sokoban, Tetris, 2048, Candy Crush, Mario, Ace Attorney), Here’s where they landed: GPT-5-thinking-high → #2

Grok-4 has been thoroughly evaluated on math and coding benchmarks, but its performance in gaming environments is untested. We evaluate Grok-4 on the lmgame bench and find that it emerges as a leading model with superior gaming capabilities, ranking #2 on our leaderboard. 🥈 In

[Lmgame Bench] 🎮 New Benchmark Results: Claude-Sonnet-4 and Claude-Opus-4 You asked—we delivered. We tested both models on 5 classic games: 2048, Candy Crush, Sokoban, Tetris, and Ace Attorney. Claude-Opus-4 stands out in Sokoban and Ace Attorney, outperforming Claude-Sonnet-4.

[Lmgame Bench] o3-pro: A Milestone in LLM Gaming! 🕹️ The leap from o3 to o3-pro is bigger than you might have thought. We tested o3-pro on Tetris and Sokoban— achieved SOTA on both and outperformed its previous self by a big margin. 🔍 🧱 Tetris Update o3-pro: ✅ 8+ lines

🔧🤖 New wave of open-source LLMs like Deekseek-R1-0528 and Qwen3-235B-A22B are leveling up with stronger agentic performance. We test them in head-to-head gameplay — the upgraded Deekseek-R1-0528 outsmarts strong reasoning models like o4-mini across several games and it nearly

🚨 New Challenger: GROK joins the Game Arena Benchmark! We evaluated Grok3-mini-beta: thinkining on four games: 🧩 2048 | 🧱 Sokoban | 🍬 Candy Crush | 🎮 Phoenix Wright With fast progress, it’s already comparable to top models like OpenAI’s O1, previous O3-mini, and

This week, we tested 3 latest models in our Game Arena Benchmark: → O3 → O4-mini → Gemini 2.5 Flash Across 4 games—Phoenix Wright, Sokoban, Candy Crush, and 2048—O3 dominated the zero-shot leaderboard, ranking #1 or #2 in nearly every task and outperforming previous SOTA

With first Claude and now Gemini playing Pokemon, I was thinking of doing my own game-playing experiment over the weekend. However, I quickly learned that it's very far from the VLA-style "pixels->plan" that I naively thought it was, and wanted to do myself. It's like 90%

何と言うか、 25年前に死ぬ思いしながら作ったゲームがこういう使い方されるようになるとは思わなかったよｗ しかも海外でｗ にしても1章でAIが詰まるの面白い。 特に1章の難易度はめっちゃ巧さんと三上さんが拘られた部分。 人間には簡単なはずなんよｗ その推論力ってやつが人間の強みなのか。

Hao AI Lab put the latest top AI models—GPT-4.1, Gemini 2.5 Pro, Llama-4 Maverick, and more—to the test in Ace Attorney, to see if they could shout Objection! ⚖️, turn the case around, and uncover the truth behind the lies results are out on Game Arena Bench on Hugging Face

Check out our gradio leaderboard!

When Ilya Sutskever once explained why next-word prediction leads to intelligence, he made a metaphor: if you can piece together the clues and deduce the criminal’s name on the last page, you have a real understanding of the story. 🕵️‍♂️ Inspired by that idea, we turned to Ace

LLaMA-4 Maverick performs well on reasoning benchmarks and ranks 2nd on the Chatbot Arena, yet its true performance remains controversial. What if we put them in a transparent gaming environment? 🎮 Our benchmark tells a different story...🤔 Will true intelligence shine through