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Gemini 4 Argon & Meta 'Wonder': What Really Changes! Real Use Cases | AI-NEWS

Google and Meta have launched new AI models, Gemini 4 Argon and Meta Muse Wonder, which reportedly beat Claude Opus 5 on benchmarks. Argon is the first model to generate up to one million output tokens in a single step, and Google is using its own models to build the next generation (recursive self-improvement). Google claims Argon advances robotics—building a physical simulation from a single table photo to produce 4,500 training runs and raising a robot's real-world success rate from 56% to 75%—quantum computing—creating a quantum-algorithm building block needing 100x less hardware and compute with mathematically proven correctness, and rewriting Google's own Alpha Qubit error correction to nearly double throughput—and mentions an upcoming Gemini Nano Banana 3 Pro and the open-weights Flux 3 Image small 4K image model. In a practical test, three models each spent 16 hours building a clone of the Monday software: Muse Wonder half-fulfilled the task (functional but not Monday-like), Argon worked but imperfectly (e.g., emojis instead of icons), and Claude Opus 5's result was cut off. The video also covers Drift Voice 3.0 voice agents handling 20,000 daily phone calls at Starling with a 70% success rate, and GPT Live 1.1 improvements in German.

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