Welcome to “Significant AI News and Launches for the Week”! This week has been jam-packed with exciting developments in the AI world. From AI’s foray into the entertainment industry to Apple’s AI project codenamed Ajax, there’s plenty of groundbreaking news to explore. Fable Studio has published a white paper showcasing their AI recreation of South Park, while OpenAI has delayed the release of an advanced ChatGPT version due to privacy and security concerns. Hugging Face is raising a staggering $200 million in funding, and Stripe has built an internal large language model for their employees. Additionally, the launch of LLaMa 2 by Meta is providing competition to ChatGPT. With all these major updates, this has truly been the biggest week of AI news in months!
AI in the Entertainment Industry
The week was filled with significant AI news, especially in the entertainment industry. AI has the potential to revolutionize the creation of videos, movies, and TV shows, allowing for high-quality content creation. Previously, AI-generated videos were limited to short clips and lacked consistency and quality. However, recent advancements in AI technology have showcased the incredible possibilities. For example, there are now AI-generated videos of Stormtroopers in business attire, stunning visual creations by talented artists like Mr. Boofy, and even fully AI-generated monster movies lasting over a minute and thirty seconds. These examples demonstrate the consistent high quality and impressive cinematography that AI can achieve in content creation.
The future of content creation will bring consumers closer to the supply chain, with content tailored to the individual’s preferences. If you didn’t enjoy the last season of Game of Thrones, AI could potentially allow you to create your own personalized ending. While there are concerns that AI will replace human writers, it is important to note that AI has yet to replicate storytelling elements such as emotion, suspense, and empathy. These aspects of storytelling remain fundamental to human creativity and are yet to be fully accomplished by AI. Nonetheless, AI’s potential to create high-quality content in the entertainment industry is rapidly advancing.
A notable development in AI’s impact on the entertainment industry is Fable Studio’s recreation of South Park using AI. Fable Studio published a white paper detailing their process of recreating the visuals, story, and voices of South Park using Stable Diffusion, Chachi PT, and Runway gen 2. This achievement showcases the incredible capabilities of AI in replicating beloved animated shows. While the paper primarily focuses on the visual and audio recreation, it is worth noting that the storytelling aspect still requires human input. However, the progress made by Fable Studio opens up exciting possibilities for the entertainment industry and demonstrates AI’s impact on content creation.
Apple’s Foray into AI
Another significant development in AI is Apple’s foray into the field. Apple is currently developing its own AI, codenamed Ajax, to compete with other tech giants in the AI space, such as OpenAI, Microsoft, and Google. While Siri, Apple’s existing AI assistant, has limitations, Ajax aims to provide a more comprehensive AI solution. Apple is in the testing phase of Ajax and is working on its integration into the wider Apple ecosystem. The deep integration of Ajax into Apple’s ecosystem is expected to be a key selling point, as it will leverage Apple’s large user base and provide a seamless user experience across Apple devices. With Apple’s commitment to privacy and security, Ajax is expected to be a formidable AI offering.
Troubles Surrounding ChatGPT
One of the challenges faced by large language models like ChatGPT is finding the right balance between safety and performance. Adding safety measures to these models, often referred to as censorship, can impact their performance and the quality of generated content. In recent months, ChatGPT, including versions like GPT 3.5 and GPT4, has been adding more safety measures based on user feedback. However, this has led to a noticeable decline in performance.
A paper released by researchers from Stanford and UC Berkeley highlights the decline in performance of GPT 3.5 and GPT4. The graphs and examples in the paper demonstrate the varying performances of these models over time and the detrimental effect of increased safety measures on their capabilities. For instance, GPT4’s answer rate for potentially problematic questions decreased from 21% in March 2023 to 5% in June 2023. Additionally, the coherency of generated responses also suffered.
Furthermore, OpenAI has faced privacy and security concerns related to the advanced version of ChatGPT. The release of the advanced version, which reportedly has significant improvement in image recognition, has been delayed due to its potential privacy implications. Particularly concerning is the model’s ability to match faces with names and other personal information, which raises concerns about privacy laws and potential misuse of the technology. OpenAI is actively addressing these concerns before releasing the advanced version of ChatGPT.
Investments in AI
Hugging Face, known as the GitHub of AI, is making waves in the AI community with its significant funding round. The startup is raising $200 million in funding at a valuation of $4 billion. The round is led by Sound Ventures, a venture capital firm co-founded by Ashton Kutcher. Hugging Face’s platform plays a crucial role in the AI space, providing a collaborative environment for developers and researchers to share AI models, datasets, and code. The substantial funding will further support the growth and development of Hugging Face and its contributions to the AI community.
Stripe, a prominent API payments company, has also made strides in AI development. They have built an internal large language model (LLM) for their employees to use. The LLM tool includes various features such as prompt sharing, discovery, privacy controls, and configurable models. Around one-third of Stripe employees are already utilizing this tool on a weekly basis. This development showcases the increasing adoption of AI within companies for various use cases and highlights the potential for consulting and product services in deploying secure and privacy-aware LLMs.
Democratization of Open-Source Large Language Models
OpenAI’s release of Petals marks a significant step in the democratization of open-source large language models. Petals allows enormous models with 65 billion parameters to run on any computer using torrent technology. This opens up possibilities for individuals and organizations to access and utilize powerful AI models without the need for extensive computational resources. By leveraging torrent technology, Petals enables the distribution and accessibility of large language models, fostering innovation and collaboration in the AI community.
Competing with ChatGPT: Meta’s LLaMa 2
Meta, formerly known as Facebook, has launched LLaMa 2 as a competitor to ChatGPT. LLaMa 2 is the follow-up to the successful LLaMa model and aims to provide an alternative AI-powered conversational experience. While details about LLaMa 2 remain limited, its introduction presents a promising advancement in the field of natural language processing. As more information becomes available, it will be interesting to see how LLaMa 2 differentiates itself from other conversational AI models.
Detailed Analysis of LLaMa 2
LLaMa 2 introduces significant improvements over its predecessor, leveraging 40% more data for training. This increase in data allows for better contextual understanding and enhanced natural language processing. Users can expect a significant improvement in the quality of generated responses and the overall conversational experience. LLaMa 2 is available in two versions: bass and chat. The bass version focuses on delivering high-quality information and factual responses, while the chat version emphasizes generating engaging and interactive conversations.
Furthermore, LLaMa 2 comes in three different sizes, offering users the flexibility to choose models based on their specific requirements. The available sizes include 7 billion, 13 billion, and 70 billion parameters, allowing fine-tuning according to the task at hand. These variations provide users with the ability to strike a balance between model size and computational resources, enabling efficient utilization of LLaMa 2’s capabilities.
On-Going Development and Security Measures
Meta is currently working on a 34 billion parameter model as part of the LLaMa 2 development. This model is expected to further enhance the performance and capabilities of LLaMa 2. However, security remains a paramount concern. To ensure the commercial viability of LLaMa 2, Meta aims to establish usage limits to prevent misuse. The model is projected to be commercially viable for less than 700 million users, striking a balance between accessibility and responsible usage.
Additionally, Meta is taking diligent security measures to address potential risks associated with LLaMa 2. The focus on privacy and security is crucial, especially considering the implications of AI-generated content on personal information. By implementing robust security protocols and adhering to privacy regulations, Meta aims to provide users with a safe and reliable AI experience.
Future of LLaMa 2
LLaMa 2’s launch is just the beginning, as Meta plans to introduce fine-tuned versions in the future. These iterations will likely address specific use cases and cater to the evolving needs of users. With the success of LLaMa 2’s initial release, Meta aims to deliver further improvements and advancements in conversational AI. Users can anticipate more fine-tuned versions in the coming months, unlocking additional possibilities for AI-powered interactions and applications.
Conclusion
In conclusion, this week’s AI news showcased significant advancements and developments across various sectors. The entertainment industry is experiencing the transformative potential of AI, with the ability to create high-quality videos, movies, and TV shows. Fable Studio’s recreation of South Park using AI serves as a testament to the impressive capabilities of AI in content creation.
Apple’s foray into AI with the development of Ajax demonstrates their commitment to innovation and integration within their ecosystem. ChatGPT faced challenges balancing safety and performance, and OpenAI’s delay in releasing an advanced version highlights their commitment to privacy and security. Investments in AI, such as Hugging Face’s funding round and Stripe’s internal large language model, further validate the growing significance of AI in various industries.
Democratization of open-source large language models through platforms like Petals and the competition posed by Meta’s LLaMa 2 highlight the collaborative and evolving nature of the AI community. The detailed analysis of LLaMa 2 reveals its improved quality and versatility, providing users with enhanced conversational experiences.
Looking ahead, the on-going development and security measures surrounding LLaMa 2 indicate Meta’s dedication to responsible deployment and utilization of AI. The future of LLaMa 2 holds promise with the emergence of fine-tuned versions catering to specific use cases, further expanding the realm of AI-powered interactions and applications.
Overall, this week’s AI news showcases the rapid pace of AI advancements and their potential impacts on various industries. As the field continues to evolve, it is essential to anticipate future developments and their implications, fostering responsible and innovative AI utilization.
