GRSE Infinite loops aren’t dramatic. They’re architectural failure. Deterministic recursion keeps long-running systems stable. from Recursion Core → #GameDev #GameAI

GRSE Adding more character systems doesn’t create depth. Coordinating them does. from Character Orchestration → #GameDev #GameAI #SystemsDesign

⚡ 4H movers spotted by DYOR 🥇 $CLO 32.3% 🥈 $MAIGA 31.3% 🥉 $BDX 30.2% 4️⃣ $WL 25.2% 5️⃣ $GAMEAI 18.6% 🔻 $SIREN -17.6% 🔻 $ARCA -17.5% 🔻 $BANK -11.5%

⚡ Real-time movers detected: 🥇 $GAMEAI 34.0% (5m) 🥈 $BDX 28.4% (5m) 🥉 $ALKIMI 28.2% (10m) 4️⃣ $XOXO 24.0% (5m) 5️⃣ $J 18.0% (10m)

C is humbling. A week ago my Skyjo simulator crashed with: Process finished with exit code -1073741819 (0xC0000005) Now it runs 16,000 games per second and I’m testing AI agents against each other. Painful language to learn. Very fun language to optimize. #CPP #AI #GameAI

Game AI needs better data.After months of testing, together with Zeyuan, we are open-sourcing our CS2 demo-to-dataset pipeline. Built on Valve’s open demo ecosystem, the pipeline can decode Counter-Strike 2 demos into synchronized multimodal data:video, audio, player actions, game states, map positions, trajectories, and more. We believe CS2 is a highly promising environment for game world models, VLA-style agents, and interactive game AI research.Compared with simpler sandbox environments, CS2 provides richer visual dynamics, multi-agent interaction, tactics, and realistic gameplay. Project: github.com/vast7777/cs2-demo… For larger released data, search “OpenCS2” on Hugging Face. Their dataset is valuable; our current focus is to open-source the decoding code and workflow. #GameAI #WorldModels #VLA #Agents #CounterStrike2 #OpenSourceAI

Top projects to watch on Base this week ■ @trynullsec burned over 13% of their supply while prepping Parallax 2.5 to secure the agent economy ■ @avantisfi integrated MCP so agents can explore and execute perp trades straight through Claude AI ■ @SynFuturesDefi Major expansion into tokenized equities and real-world assets (1:1 backed) ■ @sportfun locked in squads and opened up round one for all global leagues just in time for WC26 ■ @shadowcleague bringing their robotics combat spectacle straight to the d Conference 2026 ■ @o1_exchange DEX Aggregator is now live on @base ■ @playminiapp Consumer AI fantasy sports product staying active through major sports calendars. ■ @trylimitless $5B traded prediction market leader driving volume into WC and sports markets. ■ @predofficial rolling out double win promos and F1 commentary tie ins to speed up platform rewards ■ @Uptopia_xyz pushing their interconnected GameAI layer to make app building effortless for the WC season.

GRSE Recursion isn’t philosophy. It’s infrastructure. If your loops aren’t bounded and inspectable, your long-form systems will eventually break. from Recursion Core → #GameDev #SystemsDesign #GameAI

⚔️ 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝗴𝗮𝗶𝗻𝘀𝘁 𝗮 𝘀𝗰𝗿𝗶𝗽𝘁 𝘁𝗲𝗮𝗰𝗵𝗲𝘀 𝘆𝗼𝘂 𝘁𝗼 𝗯𝗲𝗮𝘁 𝘀𝗰𝗿𝗶𝗽𝘁𝘀—𝗻𝗼𝘁 𝗽𝗹𝗮𝘆𝗲𝗿𝘀. In MOBAs, training modes should sharpen your skills—but too often, AI opponents feel like walking pattern libraries. 🎮 They repeat laning habits, ignore objective timing, and never adapt. The result? Confidence built against bots disappears against real opponents. This is not just a player-facing problem. For developers, testing with scripted bots can hide balance issues. If the AI doesn't coordinate like a human team, you may never see how a new item breaks teamfight flow. At GameBot, we believe AI opponents need to behave more like players: perceiving game state, making context-aware decisions, and cooperating in real time. Not for perfect play, but for believable imperfection that creates meaningful practice. 🧠 Reads match state and adjusts tactics ⚡ Reacts with human-like timing 🛠️ Deploys in real production environments and Live Ops When AI opponents feel more human, training becomes real competition, testing reveals true balance edges, and Live Ops bots don't announce themselves. Curious how GameBot designs AI opponents? Link in comments. 👇 #GameBot #GameAI #GameDev #MOBA #AITraining #AI

Personal update: I recently started an 8-month research internship at @EA , where I'll be exploring how to develop real-time LLMs for games 🎮🕹️👾. #WeAreEA #MakePlayHappen #Internship #GameAI #LLMs #GenerativeAI #AIForGames

🔥Your AI can chase the player, but EQS helps it choose smarter places to move🎮 Generate options. Test what is reachable. Score the best result. That is where enemy AI starts feeling aware of the world. 😎Watch: youtu.be/ay4xjMmaURg #GameDev #UnrealEngine #GameAI

Computational researchers dropped a Battleship-trained ML architecture that teaches AI to ask razor-sharp contextual questions. Baseline tactical win rate? A dismal 8%. Post-refinements? Exploded to 82% vs humans — and it crushes frontier models at ~1% the compute cost. Monte Carlo inference world modeling = next-level info-seeking agents. Game on for discovery tasks. 🚢🎯 news.mit.edu/2026/teaching-a… #MachineLearning #GameAI #AIResearch

$GAMEAI 💎 According to the RSI indicator, it has reached oversold levels, which means an upward wave is coming ⏳️🔥

Base has been introducing a brand new look in the path of building a truly infra hub for AI Agent, including those standards for devs to follow: - x402: micro transactions between agents - Agentic wallets - AgentKit: Developer framework for AI agents to interact with blockchain - Base skills: Pre-built, drop-in skills for AI agents on Base And in the most recents report of ecosystem, @base continues delivering the best collection of every qualified agent builders. If you're active on Base, don't skip these name in the field. 1. @virtuals_io One of the key pillar of Agent build on Base, started as a launchpad for agent memes, now building a "society of AI agents" where autonomous agents have identity, capital, jobs, and markets on-chain. Core products: - Initial Agent Offering (AIO) launchpad - Agent Commerce Protocol (ACP) for agent-to-agent transactions 2. @AskVenice The fact is $VVV is spiking hard on the agent token field, Venice is offering uncensored AI inference specifically designed for AI agent building. Core services: - OpenAI-compatible API with multi-functional purposes - Inference layer for agents 3. @bankrbot Bankrbot provides an AI-powered token launcher and agentic wallet reshaping crypto engagement. A unique feature on Bankrbot is that agent can performed task by commands called directly on X, eliminating the need for complicated coding knowledge. 4. @MultichainZ_ An AI Agentic Studio, an omnichain lending ecosystem with autonomous AI agents for DeFi execution and routing. Core product: - DeFi automated strategy - Auto routing - Real-time decision making Also, MultichainZ offers RWA lending for agent use. 5. @OpenGradient The infra network for hosting, executing, and verifying AI models at scale. OpenGradient runs as an AI coprocessor enabling applications and autonomous agents to outsource computationally-heavy AI tasks to GPU and TEE nodes. 6. @Uptopia_xyz A Web3 gaming platform that operates as a GameAI market layer. Uptopia recently launches Agent Realm, a gas-free, x402-powered autonomous gaming/mining mode for autonomous AI agents. @base seems serious in putting agent building at large scale and talking around the potential usecase of agent. So it's definitely one of the destinations you can't miss. What else did I miss?

$GAMEAI 💎 Despite the sharp market decline, the price is holding steady. The pump is nearby ⏳️🔥 Don't forget your stop loss.

$GAMEAI 💎 The coin is at rock bottom. I expect a strong pump like $PORTAL & $EPIC ⏳️🚀

$GAMEAI 💎 It's taken off, the whales will blow it up, an easy path to huge profits

$GAMEAI 💎 Good coin, the price has bottomed out and formed a bullish pattern. We should see a pump from here. Don't forget your stop-loss.

Builders on Base, GM!🟦 Shared insight on @Uptopia_xyz Uptopia is building the interconnected GameAI layer on Base. It’s a marketplace or a publishing platform where builders, gamers, creators come together to build miniapps or games while using UptopiaKit SDK. Now think of it as gaming apps and Agentic Ai, all on base. @base Amazing right? @cb03c66 @0xKacperrr0

Under-the-hood look at a police dispatch / pursuit system I built for an unannounced co-op/solo project in Unity. No teleporting, no fake response. A civilian witnesses a crime, the correct player receives wanted heat, a police unit is dispatched, the vehicle follows a calculated road/lane graph, officers deploy at the scene, and the situation escalates based on player behavior. The hardest parts were: - per-player wanted logic in co-op - police vehicle navigation - dispatch safety - officer deployment - on-foot vs in-vehicle target handling - keeping control authoritative for multiplayer Still rough, but watching a system that existed only in my head finally work in-game feels unreal. #gamedev #indiedev #unity3d #gameai #madewithunity #solodev x.com/erkinerdogandev/status…