Відео

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Summary points: Gemini 2.0 - Foundational Models & Competition Incremental Improvements: Models from Google (Gemini 2.0), OpenAI, Anthropic, and others are becoming table stakes, with Gemini’s massive token window as a rare standout. Strategic Autonomy vs. Open Source: Hyperscalers build their own models to avoid third-party dependency, while open-source options like Llama offer startups some freedom-albeit with reliance on Meta’s vision. AI Applications & Real-World Impact Beyond Generic Assistants: Google’s Jules (for coding) and Astra (personal helper) show a shift toward specialized, context-aware tools. Project Mariner’s Browser Automation: By using natural language to orchestrate web tasks across multiple tabs, Mariner democratizes RPA-like capabilities, cutting integration and setup costs. Implications for Enterprises & Startups: Broad, flexible AI apps from big players pressure niche solutions. To thrive, startups must find unique angles or leverage open-source models. Quantum & Future Horizons Quantum Leap: Google’s Willow chips tackle once-impossible problems in minutes, hinting at future synergy with AI training and reasoning. Continuous Flux: As token windows expand and quantum computing emerges, the landscape keeps shifting, challenging players to adapt quickly.