$EVAL IS LIVE! . EVAL Engine is the first cross framework AI evaluation plug in🔥. We have partnered with @Virtuals_io to launch the first cross-framework AI evaluation plugin on @Chromia & @GAME_Virtuals! ⚡️. For eligible participants, please check your wallet for $EVAL airdrop!.

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Physical AI is here. And it's becoming programmable. @Chromia is tracking how these breakthroughs will collide with onchain infra, real-time data, and decentralized robotics. Follow us to stay ahead. #PhysicalAI #Robotics #π0 #HuggingFace.

Thanks to Hugging Face’s LeRobot SDK, devs can now fine-tune, simulate, and deploy these models themselves. π0-FAST even uses a new action tokenizer (FAST) to compress motor commands like JPEG, making real-world AI smoother + faster.

🤖 Robotics just got its own foundation model. Meet π0 and π0-FAST, open-source generalist robot controllers now live on Hugging Face. Trained across 7 robots + 68 tasks, they fold laundry, pack bags, and respond to natural language, all in real-time.

@Chromia is exploring how on-device AI + robotics will reshape industries, infra, and even Web3. The Physical AI era is coming and we’re just getting started.

Google is releasing a Gemini Robotics SDK - so devs can fine-tune the model, simulate tasks, and deploy on real robots with as few as 50 examples. Adaptable, fast, and fully local. A game-changer for builders.

Physical AI is here. 🤖. Gemini Robotics On-Device puts a powerful AI brain directly inside robots: no cloud, no lag, just real-time decision-making in the physical world.

RT @Chromia: 🎉 We’ve just hit 1,000,000 Accounts on Chromia! 🎉. To every visionary, developer, creator, and gamer who has joined us, Thank….

RT @DappRadar: The multiplayer builder game @MyNeighborAlice is hitting an all-time high, with 32k unique active wallets over the past 24h.….

RT @OurTinTinLand: 💻 @Chromia China Tour | Review Video of Shanghai Station is now available!. 🔥 On May 24th, TinTinLand and Swedish public….

RT @jlwhoo7: Happy to share: @Chromia Vector DB now featured on a top vector database comparison site!. See how our solution compares to ot….

With an 88% average across all crypto domains, Mistral-medium-3 leads the field by hitting perfect 100% marks in Crypto AI/Agents, MEV and NFTs, near-perfect 95% in Blockchain Fundamentals and 90% in DeFi, solid 80% in Tokenomics and Infrastructure, robust 75% in Layer-2 Scaling,

Tuned for end-to-end DeFi with high level of reasoning, phi-4-reasoning-Plus hits perfection in AI/LLM, NFTs, DeFi & Layer-2 scaling (100%), with near-perfect fundamentals (95%), Tokenomics (92%) & MEV (90%). Only minor slips in technical infrastructure & crypto history (85%).

Designed for deep protocol reasoning, phi-4-reasoning aces AI/LLM & NFT queries (100%), nails core blockchain fundamentals (95%) and delivers 90% in DeFi/MEV. Its main blind spot: Layer-2 scaling at 80% (tokenomics & infra hover at 85%).

On our custom Web3/blockchain/DeFi dataset, @microsoft models has nailed it again.• phi-4-reasoning scores 95% in Fundamentals, 100% in AI/LLM & NFTs, 90% in DeFi/MEV—dips to 80% on Layer-2 scaling.• phi-4-reasoning-Plus goes flat-out: 100% in AI/LLM, NFTs, DeFi & scaling, ~95%.

Check out the in-depth scores in AI excellence, quantified. $EVAL.

➡️ Qwen3-32B: 32 B dense params drive a 73.5% score with perfect AI & LLM meta accuracy (100%), top-tier DeFi (92.3%) and strong Fundamentals (90.5%). Robust in chain-of-thought reasoning and coding—its sole weak spot remains Crypto History (34.5%).

➡️ Qwen3-14B: 14 B params strike a balance of power and efficiency, hitting 61.3% overall. It shines in Fundamentals (90.5%), DeFi (76.9%) and Technical Implementation (76.2%), plus strong Layer2/Scaling (66.7%), but Crypto History recall lags at just 31.0%.