Gemini gets lightening Fast

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🤝 Apptronik Teams Up with Google DeepMind
Via Apptronik 

Apptronik, a leader in humanoid robotics, has partnered with Google DeepMind to revolutionize AI-powered humanoid robots. This collaboration combines cutting-edge robotics with advanced AI, aiming to create versatile and intelligent humanoids that address real-world challenges.

The Decode:

• Apptronik, brings nearly a decade of expertise in designing safe and reliable humanoid robots. Its latest creation, Apollo, stands 5’8” tall, weighs 160 pounds, and is designed for physically demanding tasks in industrial settings.
  
• Google DeepMind’s robotics team contributes world-class AI expertise, including advancements in machine learning and physics simulations. Known for innovations like Gemini, DeepMind specializes in AI systems that enable reasoning and action in real-world scenarios.
  
• This partnership unites Apptronik’s hardware legacy with DeepMind’s AI leadership, accelerating the development of humanoids that can work safely alongside humans. It builds on Apptronik’s recent success with partners like GXO and Mercedes-Benz, promising more groundbreaking collaborations in the near future.

By combining Apptronik’s robotics expertise with Google DeepMind’s AI capabilities, this partnership is set to redefine humanoid robotics. Together, they aim to create intelligent robots that transform industries and address global challenges, setting new standards in AI-powered technology.

🚀Gemini gets lightening Fast!

Google has introduced Gemini 2.0 Flash Thinking, a top-tier reasoning model that’s free and ultra-fast. Already a hit on Chatbot Arena, it combines speed and intelligence, redefining AI reasoning performance. Built on Flash technology, it’s accessible to anyone on AI Studio.

How to Use Gemini 2.0 Flash Thinking

1. Visit AI Studio

Go to AI Studio and log in with your Google account.

2. Select Gemini 2.0

Navigate to the model selection panel. Look for “Gemini 2.0 Flash Thinking” and click to activate.

3. Customize Settings

Configure your session parameters, like temperature or context length, for optimal performance.

4. Start Interacting

Input your queries or tasks, and experience lightning-fast, accurate responses.

5. Test Reasoning Skills

Compare results with other models on platforms like Chatbot Arena and see why Gemini 2.0 stands out.

With unmatched speed and reasoning capabilities, this model is perfect for tasks requiring quick, logical outputs. It’s a game-changer in the AI space.

Explore Gemini 2.0 today and elevate your AI experience! 🌟

🔮 Ilya Sutskever’s Vision for AI’s Future
From Seremot Via YouTube

As we close 2024, AI pioneer Ilya Sutskever, former Chief Scientist at OpenAI, offers a glimpse into the next chapter of AI. Speaking at the NeurIPS 2024 conference, he reflected on the evolution of AI and outlined transformative predictions for its future.

The Decode:

• Sutskever revisited his 2014 paper, which laid the foundation for modern AI: autoregressive models, large neural networks, and massive datasets. These principles power today’s AI giants like GPT and Gemini. However, he declared that we’re nearing the end of this era due to a dwindling supply of high-quality training data, calling this moment “Peak Data.”
  
• Looking ahead, he predicts advancements in areas like AI agents, capable of performing tasks autonomously; synthetic data, to bypass data shortages; and inference-time compute, where models process more during user interaction. Most critically, the focus will shift toward reasoning and logical thinking over pattern matching.
  
• Sutskever also shared his thoughts on superintelligence, envisioning future AI with true agency, the ability to reason logically, learn from minimal data, and even possess self-awareness. He compared this shift to the evolutionary leap from primates to hominids—a move from incremental improvements to fundamentally new forms of intelligence.

Sutskever’s predictions mark the transition from today’s data-dependent models to AI capable of reasoning, understanding, and autonomous action. As we enter this profound new phase, the focus will shift from scaling data to enabling systems that truly think and learn.

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