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- 🤖 Early Access for X Subscribers to xAI's Chatbot, Grok
🤖 Early Access for X Subscribers to xAI's Chatbot, Grok
PLUS: Google’s Gemini AI
Welcome, AI Enthusiasts.
Elon Musk's AI startup, xAI, is developing its own conversational AI system called Grok.
Google's Gemini AI project, led by teams from Google Brain and DeepMind, is shrouded in secrecy but aims to be a groundbreaking multimodal AI.
In today’s issue:
🤖 Elon Musk Announces Early Access for X Subscribers to xAI's Chatbot, Grok
🦾 Google’s Gemini AI
🛠️ 3 New AI tools
đź’» Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 4 minutes.
LATEST HIGHLIGHTS
Image source: X
To recap: Elon Musk's AI startup, xAI, is developing a conversational AI system called Grok, which aims to answer questions conversationally and has real-time access to information, with plans to release it to subscribers and possibly equip it with additional senses like vision and audio for broader applications. This initiative represents Musk's pursuit of maximum-truth-seeking AI, following his split from OpenAI and growing ambitions in the AI field.
The details:
XAI's conversational AI system, Grok, has real-time access to information and internet browsing capabilities, allowing it to provide up-to-date answers to user queries.
Grok-1, the underlying large language model, was developed over several months using a cluster of tens of thousands of GPUs and training data from both the web and feedback from human assistants referred to as "AI tutors."
Elon Musk's ambitions with xAI have expanded since his split from OpenAI, and the company aims to build AI that understands the true nature of the universe, potentially equipping Grok with additional senses like vision and audio for broader applications.
Here is the key takeaway: Elon Musk's AI startup, is developing Grok, a conversational AI system with real-time access to information, potentially marking a significant advancement in AI capabilities, and reflecting Musk's increasing ambitions in the field of AI research and development.
AI GOOGLE
🦾 Google’s Gemini AI
Image source: DALL-E 3
In Summary: Google's Gemini AI project, led by teams from Google Brain and DeepMind, is shrouded in secrecy but aims to be a groundbreaking multimodal AI. It's expected to outperform ChatGPT, with potentially 30 trillion or more parameters and unprecedented computational power, making it more versatile by combining text, image, and data processing. Google plans to integrate Gemini into its products and services, becoming a backbone for AI across its ecosystem, with an expected release by the end of 2023 or early 2024, positioning it as a transformative force in AI.
Key points:
Multimodal Capability: Gemini is designed to be a multimodal AI, capable of processing and generating text, images, and other data types, setting it apart from previous AI models like ChatGPT.
Massive Computational Power: Google has invested significantly in computational power to train Gemini, using advanced training chips known as TPUv5 that can orchestrate 16,384 chips working together, making it one of the most powerful AI models.
Extensive Training Data: Google possesses an extensive dataset estimated at around 40 trillion tokens, which is four times larger than the data used to train ChatGPT 4.0, providing Gemini with a vast knowledge base.
Integration into Google Ecosystem: Google intends to make Gemini the backbone of AI intelligence integrated into all its products and services, potentially transforming how AI interacts with the world, with an expected release by the end of 2023 or early 2024.
Our thoughts: We find Google's Gemini AI project to be extremely intriguing and potentially game-changing in the field of artificial intelligence. The emphasis on multimodal capabilities, massive computational power, and an extensive training dataset sets Gemini apart from existing AI models. If it lives up to the expectations and gets integrated into Google's ecosystem as envisioned, it could have a profound impact on various industries and applications, from natural language processing to image recognition and beyond. The secrecy surrounding Gemini only adds to the anticipation and curiosity in the tech community, making it an exciting development to follow closely.
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DALL-E 3
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Google's DeepMind has introduced Open X-Embodiment, a database of robotics functionality, and aims to advance robotics through the development of a generalist model capable of controlling various types of robots and performing complex tasks. The team's focus on general-purpose methods, collaboration with Everyday Robots, and integration of generative AI are central to their efforts in the evolving field of robotics.
Apple CEO Tim Cook highlighted the importance of AI technology in the company's recent developments, including iOS 17 features like Personal Voice and Live Voicemail, both powered by AI and machine learning. Cook also confirmed that Apple is working on generative AI technologies, although specific details were not disclosed.
Kai-Fu Lee, a prominent figure in the field of artificial intelligence, has launched 01.AI, a startup aimed at developing a large language model (LLM) for the Chinese market. The company's first model, Yi-34B, is an open-source bilingual (English and Chinese) LLM with 34 billion parameters. 01.AI is valued at $1 billion and has secured financing from Sinovation Ventures, Alibaba Cloud, and other investors. The startup's goal is to build an ecosystem where outside developers can easily create applications using its LLM technology.
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