Tesla Goes Full AI, LLaMA Beats GPT4, OpenAI Biz, AI Drone Racing, Apple Silicon for AI (AI News E7)

AI News Highlights

This section provides an overview of the latest AI news, including updates from Tesla, OpenAI, and Meta.

Tesla's AI Developments

• Tesla launched a $300 million AI cluster with 10,000 Nvidia H100 compute GPUs to power various AI applications. The main focus is on training their full self-driving product.

• Tim Zayman, the AI infra and platform engineering manager at Tesla, mentioned that they have one of the largest real-world video training datasets in the world.

• Elon Musk showcased the newest version of full self-driving (V12) in a live stream. Although still in beta, V12 demonstrated impressive capabilities in navigating complex driving situations.

OpenAI's Revenue Growth and Challenges

• OpenAI is projected to generate over a billion dollars in revenue within the next 12 months, a significant increase compared to last year's earnings.

• However, usage of OpenAI's GPT models on platforms like ChatGPT has seen a decline since its peak in May.

• OpenAI introduced ChatGPT Enterprise to address privacy and security concerns for businesses using their models.

Meta Launches Code Llama

• Meta (formerly Facebook) released Code Llama, an open-source model specifically trained for coding tasks. It is based on their previous model called Llama 2.

Tesla's AI Cluster and Full Self-Driving Updates

This section focuses on Tesla's recent developments related to their AI cluster and full self-driving technology.

Tesla's $300 Million AI Cluster

• Tesla invested $300 million in building an advanced AI cluster equipped with 10,000 Nvidia H100 compute GPUs.

• The primary purpose of this cluster is to support various AI applications within Tesla, particularly for training their full self-driving product.

Full Self-Driving Version 12

• Elon Musk showcased the latest version of Tesla's full self-driving (V12) in a live stream.

• V12 demonstrated impressive capabilities in navigating complex driving situations, including roundabouts and construction zones.

• Unlike previous versions, V12 relies solely on cameras and AI for autonomous driving, without mixing in other sensors.

OpenAI's Revenue Growth and Usage Trends

This section highlights OpenAI's revenue growth and usage trends, along with the launch of ChatGPT Enterprise.

OpenAI's Revenue Projection

• OpenAI is expected to generate over a billion dollars in revenue within the next 12 months, a significant increase compared to their earnings last year.

• Despite burning through substantial cash, OpenAI's investments seem to be paying off with a substantial boost in revenue.

Decline in ChatGPT Usage

• Usage of ChatGPT has seen a decline since its peak in May. Visits to the platform have decreased by 29%.

• The majority of usage on ChatGPT is for coding assistance, but there are indications that open-source alternatives like Code Llama may pose competition.

Introduction of ChatGPT Enterprise

• To address privacy and security concerns for businesses using their models, OpenAI launched ChatGPT Enterprise.

• Features of ChatGPT Enterprise include data encryption at rest and in transit, certified SOCK2 compliance, an admin console, single sign-on capability, unlimited usage of GPT4 models, increased speeds, and larger context sizes.

Meta Launches Code Llama and Competition with Open Source Models

This section discusses Meta's release of Code Llama and its potential impact on open-source models like ChatGPT.

Meta Launches Code Llama

• Meta (formerly Facebook) introduced Code Llama, an open-source model specifically trained for coding tasks.

• Code Llama is a fine-tuned version of their previous model, Llama 2.

Competition with Open Source Models

• OpenAI's ChatGPT dominance in coding assistance may be threatened by open-source alternatives like Code Llama.

• Usage trends indicate that users are split between using only one prompt or using five prompts during their sessions on ChatGPT.

Conclusion

This comprehensive summary covers the latest AI news, including Tesla's AI cluster and full self-driving updates, OpenAI's revenue growth and challenges, and Meta's launch of Code Llama. The transcript provides valuable insights into the advancements and competition within the AI industry.

Open Source Alternative to Large AI Models

The speaker discusses the availability of a free and open-source alternative to large AI models, with quantized versions ranging from a billion parameters to 70 billion. These models can run on various hardware, including a 34 billion parameter version that runs efficiently on an M2 Ultra Mac.

Open Source Alternative

• A completely free and open-source alternative to large AI models is available.

• Quantized versions of these models are offered, with sizes ranging from a billion parameters to 70 billion.

• These models can be run on different hardware configurations.

• A specific example is given of a 34 billion parameter version running efficiently on an M2 Ultra Mac.

AI Beats World Champion Drone Racers

The speaker highlights how an AI system called Swift, developed by researchers at the University of Zurich, has beaten human drone racers who were considered the best in the world. This achievement demonstrates the rapid progress of AI in surpassing human capabilities.

Swift AI System vs. Human Drone Racers

• The Swift AI system designed by University of Zurich researchers defeated world champion human drone racers.

• Drone racing involves navigating drones through complex courses at high speeds using remote control headsets.

• The training for this AI occurred in a simulated environment before competing against humans on an actual course.

• The AI-controlled drone set a new world record by beating the previous time by half a second, which is significant in this sport where every fraction of a second matters.

• This accomplishment has practical applications such as environmental monitoring, disaster reporting, and rescue operations.

Grant Program for Open Source AI Developers

A16Z, a renowned venture capital firm based in Silicon Valley, has launched a grant program to support open source community developers working on artificial intelligence projects. This initiative aims to address the high costs associated with creating and running open source AI models.

A16Z Grant Program

• A16Z, a prominent venture capital firm, has initiated a grant program for open source AI developers.

• The program provides funding to support the community's most prominent developers.

• Tom Jobbins, known for his work on quantized models, is mentioned as one of the initial recipients of the grant.

• The grant program helps alleviate the financial burden of acquiring expensive hardware required for creating and running open source AI models.

Google's AI Initiatives and Upgrades

Google has made several announcements related to AI. They have launched Duet AI in Google Workspaces, providing users with a powerful collaboration partner. Additionally, Google introduced new AI tools and capabilities at their conference, including pre-built AI models optimized for enterprises, an AI watermarking product called SynthD, an AI training cluster based on custom-built TPU architecture, and upgrades to their Vertex AI platform.

Google's AI Initiatives

• Google has launched Duet AI in Google Workspaces, offering users a powerful collaboration partner.

• Several new tools and capabilities were unveiled at the Google Next conference:

• 20 pre-built AI models optimized for enterprises are now available through Google Cloud services.

• SynthD is an AI watermarking product that helps identify images generated by artificial intelligence.

• Access to an AI training cluster based on custom-built TPU architecture is provided for training and fine-tuning models.

• Upgrades were made to the Vertex AI platform, including enhancements to pom2 code generation and new search and conversational models.

Silicon Valley Elite Building a City from Scratch

Silicon Valley elites are reportedly investing in building a city from scratch. Led by billionaire VC Michael Moritz and other tech entrepreneurs, this ambitious project aims to create a bustling metropolis with innovative design, construction methods, and governance. However, locals are concerned about the impact on their quiet towns.

Building a City from Scratch

• Silicon Valley elites, including Michael Moritz and other tech entrepreneurs, are investing in building a city from scratch.

• The vision is to create a bustling metropolis with new approaches to design, construction methods, and governance.

• Large plots of land have been purchased for this project, with $800 million committed so far.

• Locals are worried about the future of their quiet towns due to these secretive land purchases.

Timestamps may not be available for every bullet point as per the given transcript.

Images Text and AI Images

This section discusses the use of images, text, and AI in generating images with billions of parameters. It also mentions the success of Ideogram in solving this difficult problem.

Ideogram's Unique Differentiator

• Ideogram is a free and open-source alternative to beta versions.

• It allows users to add text to AI-generated images.

• The sizes of the generated images range from a billion parameters to 70 billion.

Success of Ideogram

• Ideogram has successfully solved the difficult problem of running these models on various hardware.

• It has even developed a full unquantized 34 billion parameter version.

• Ideogram received significant funding and support from investors like a16z and Index Ventures.

Motion: Controlling Output Video Movement

This section introduces Motion, a new release by RunwayML that allows users to control the amount of movement in output videos.

Introducing Motion

• Motion is a new release by RunwayML.

• It allows users to select a number from 1 to 10 to control the amount of movement in output videos.

• Users can create videos with varying degrees of movement through complicated courses at high speeds.

Apple's M2 Chip for AI Models

This section discusses Apple's M2 chip and its capabilities for running AI models efficiently.

Apple's M2 Chip

• Apple's M2 chip is incredibly good at running AI models efficiently.

• It outperformed other hardware options by beating the world record by half a second in drone racing.

• The stability and power of the M2 chip make it an excellent option for running large language models.

Codelama: Real-world Applications

This section highlights the real-world applications of Codelama, including disaster monitoring and rescue operations.

Real-world Applications

• Codelama, with its 34 billion parameter version, has real-world applications such as environmental monitoring, disaster reporting, and rescue operations.

• It can process up to 20 tokens per second on an M2 Ultra.

OpenAI's GPT Models on Mobile Phones

This section discusses the potential of running GPT models on mobile phones and OpenAI's plans for open-source AI community support.

Running GPT Models on Mobile Phones

• OpenAI believes that we will see a chat GPT level model running on mobile phones next year.

• The following year, they plan to release a gpt4 level model.

• This development is significant news for the open-source AI community.

Apple Computers and Stability AI

This section mentions stability AI's belief that Apple computers are well-positioned for AI hardware advancements.

Stability AI's Belief

• Stability AI founder believes that Apple may win the hardware game for AI due to their stability and camera training capabilities.

• Apple's own silicon chips like M1 and M2 are increasingly difficult to obtain but offer excellent performance for training AI models.

Conclusion

This section concludes the transcript by encouraging viewers to share their thoughts in the comments and highlighting the importance of open-source community support.

New Section

This section discusses the video of the week and the use of filters to enhance images.

Video of the Week: Image Filters

• The video showcases how filters can be used to enhance and modify images.

• Filters can alter colors and create different visual effects in photographs.

New Section

This section highlights changes in subject matter and brightness adjustments.

Changes in Subject and Brightness Adjustments

• Last week, there were changes made to the subject matter being discussed.

• Additionally, brightness adjustments were implemented to improve image quality.

New Section

This section mentions major lawsuits filed against OpenAI by Google.

Major Lawsuits Against OpenAI by Google

• OpenAI is facing major lawsuits filed by Google.

• The details of these lawsuits are not provided in the transcript.

New Section

This section discusses Google's launch of access to their new AI training cluster.

Launch of New AI Training Cluster by Google

• Google has launched access to their new AI training cluster.

• It is alleged that they have trained their models on copyrighted data.

New Section

This section mentions a custom-built TPU architecture used for training AI models.

Custom-Built TPU Architecture for AI Model Training

• Google has developed a custom-built TPU architecture for training and fine-tuning AI models.

• The transcript does not provide further details about this architecture or its capabilities.

New Section

This section discusses Google's updated vertex AI platform.

Update to Google's Vertex AI Platform

• Google has recently updated its vertex AI platform.

• The transcript does not provide specific details about the updates made.

New Section

This section mentions upgrades to pom2 enhanced video and code generation in Google's vertex AI platform.

Upgrades to Pom2 Enhanced Video and Code Generation

• Google's vertex AI platform has received upgrades, including enhancements to pom2 video and code generation capabilities.

• The transcript does not provide further information on these upgrades or their functionalities.