Last Updated on July 11, 2024 12:48 pm by Laszlo Szabo / NowadAIs | Published on July 11, 2024 by Laszlo Szabo / NowadAIs
Elon Musk Plans to Build JARVIS: xAI’s Grok 2 and Grok 3 Ahead – Key Notes
- Grok 2 set for release in August; Grok 3 expected by year-end.
- Developed by xAI, led by Elon Musk.
- Trained using 24,000 Nvidia H100 GPUs, with future training on 100,000 H100 GPUs.
- Aims to excel in MATH and HumanEval performance metrics.
- Collaboration with Nvidia, Dell Technologies, and Oracle for infrastructure support.
- Significant computational power required, with each 100,000 H100 GPU system consuming 70 megawatts of electricity.
- Progress towards achieving Artificial General Intelligence (AGI) within 1-2 years.
xAI’s Grok 2: On the Path to AGI
According to a recent post on X (formerly known as Twitter) by Elon Musk, his company xAI is preparing for significant releases. Musk mentioned that Grok 2 is set to be released in August, with Grok 3 expected to follow by the end of the year. These new versions are said to offer advanced artificial intelligence capabilities, building on the success of Grok AI 1.5, which showed impressive advancements in understanding longer contexts and advanced reasoning.
xAI contracted for 24k H100s from Oracle and Grok 2 trained on those. Grok 2 is going through finetuning and bug fixes. Probably ready to release next month.
xAI is building the 100k H100 system itself for fastest time to completion. Aiming to begin training later this month.…
— Elon Musk (@elonmusk) July 9, 2024
Musk highlighted the importance of thorough efforts in sanitizing vast datasets for language models, a crucial aspect for successful AI training. He recognized the flaws in the current datasets provided by OpenAI and guaranteed that Grok 2 would significantly enhance this aspect.
Understanding the capabilities of Grok 2 and the ambitions of Grok 3
Grok 2 is reportedly influenced by popular fictional characters such as JARVIS from “Iron Man” and “The Hitchhiker’s Guide to the Galaxy“. Its goal is to offer immediate solutions to various inquiries while incorporating advanced capabilities like producing images and retrieving web search outcomes to enhance its answers. Moreover, Grok 2 is tailored to excel in performance evaluations such as MATH and HumanEval, which evaluates the multilingual capacity of code generating models, indicating its potential to surpass current AI standards.
Grok 3 end of year after training on 100k H100s should be really something special
— Elon Musk (@elonmusk) July 1, 2024
By the end of the year, Grok 3 will receive training using 100,000 Nvidia H100 GPUs, with the goal of achieving advancements that may exceed current AI standards. Musk stated that the training for Grok 2 utilized around 20,000 Nvidia H100 GPUs, but the upcoming training for Grok 3 will require even greater resources.
Collaborative Efforts and Obstacles
Michael Dell, CEO of Dell Technologies, revealed that the company is collaborating with Nvidia to establish an AI factory that will enhance xAI’s generative AI capabilities. This partnership is crucial in ensuring that xAI has access to the required computational power for training its complex models.
According to Larry Ellison, the founder of Oracle, there is a significant need for Nvidia GPUs in the field of xAI. Oracle has played a main role in facilitating the infrastructure required for the early versions of Grok. However, the substantial demand for GPUs highlights the difficulties in expanding AI technologies.
The Path Towards Achieving Artificial General Intelligence (AGI)
According to Musk, the progress of AI is being hindered by major challenges, particularly the lack of advanced processors such as Nvidia’s H100 and the growing demand for electricity. The Grok models demand a great deal of computational power, with approximately 100,000 Nvidia H100 GPUs consuming 70 megawatts of electricity, which is equivalent to the energy consumption of a small town.
Despite the difficulties, progress in compute and memory architectures is predicted to enable the training of larger language models. During GTC 2024, Nvidia revealed the Blackwell B200, a GPU architecture specifically designed to handle models with trillions of parameters, which will play a mainrole in the advancement of AGI.
During an interview with X Spaces, Musk conveyed his hopeful outlook on achieving AGI and made a prediction that it could even surpass human intelligence in the next year or two. He stated,
“If you define AGI (artificial general intelligence) as smarter than the smartest human, I think it’s probably next year, within two years.”
The Future’s Outlook
The rapid developments in the field of AI, led by xAI and the creation of Grok models, demonstrate significant progress. Yet, they also reveal the considerable logistical and resource obstacles involved in training and implementing these advanced models. The cooperation among corporations such as Dell, Nvidia, and Oracle will play a vital role in overcoming these challenges.
The advancement of xAI is constantly expanding the limitations of AI technology, bringing about significant implications for different industries. With its ability to improve data analysis and enable real-time decision-making, the potential uses of Grok 2 and Grok 3 have the potential to transform sectors and redefine the future of AI.
Definitions
- xAI’s Grok 2: It’s an advanced AI model developed by xAI, designed to provide immediate solutions, generate images, and perform web searches to enhance answers.
- X (formerly known as Twitter): A social media platform rebranded as X, known for real-time information sharing and updates.
- Elon Musk: CEO of Tesla and SpaceX, founder of xAI, and influential tech entrepreneur.
- Grok AI 1.5: The predecessor to Grok 2, known for its advancements in understanding longer contexts and advanced reasoning.
- MATH and HumanEval Performance Metrics: Benchmarks used to evaluate the proficiency of AI models in mathematical problem-solving and code generation.
- Nvidia H100 GPU: A high-performance graphics processing unit used for intensive AI training and computational tasks.
- Larry Ellison: Founder of Oracle, instrumental in providing infrastructure support for AI advancements.
- Michael Dell: CEO of Dell Technologies, collaborating with Nvidia to enhance xAI’s AI capabilities.
- Blackwell B200: Nvidia’s next-generation GPU architecture, designed for handling models with trillions of parameters, crucial for AGI development.
- AGI (Artificial General Intelligence): The level of AI that can understand, learn, and apply knowledge across a wide range of tasks, surpassing human intelligence.
Frequently Asked Questions
1. What is xAI’s Grok 2? xAI’s Grok 2 is an advanced AI model developed by Elon Musk’s company, xAI. It is designed to provide immediate solutions, generate images, and perform web searches, building on the success of Grok AI 1.5.
2. How is Grok 2 different from its predecessor, Grok AI 1.5? Grok 2 offers enhanced capabilities in understanding longer contexts and advanced reasoning. It is also trained to excel in performance metrics like MATH and HumanEval, indicating its superior proficiency in mathematical problem-solving and code generation.
3. What kind of hardware is used to train Grok 2? Grok 2 was trained using 24,000 Nvidia H100 GPUs. For the upcoming Grok 3, xAI plans to use 100,000 Nvidia H100 GPUs, consuming 70 megawatts of electricity, equivalent to the power consumption of a small town.
4. Who are the key collaborators in developing Grok 2? Key collaborators include Nvidia, Dell Technologies, and Oracle. Michael Dell and Larry Ellison have been instrumental in providing the necessary computational power and infrastructure to support Grok 2’s development.
5. What are the future goals for xAI and Grok 3? Elon Musk thinks Artificial General Intelligence (AGI) will be rached within the next one to two years. Grok 3, set for release by year-end, will be trained on a larger scale, aiming to leave behing current AI standards.
