The Biggest Week of AI News In Months! SouthPark AI, Apple AI, ChatGPT Getting Worse, LLaMA 2 Launch

Insane Week in the World of AI

This section discusses the major developments in the field of AI during the week.

AI in Entertainment Industry

• Writers are concerned about artificial intelligence taking their jobs, but it's inevitable that AI will create more content.

• Recent advancements in AI video have improved quality and consistency.

• Examples of impressive AI-generated videos curated by Nathan Lands on Twitter are showcased.

Future of Content Creation

• Content creation will bring consumers closer to the supply chain, with tailored content for individual audiences.

• While AI can replicate many aspects, storytelling elements like emotion, suspense, and empathy remain challenging for AI to achieve.

South Park Recreation using AI

• Fable Studio published a white paper demonstrating how they recreated South Park using AI.

• The visuals, story, and voices were all generated using stable diffusion Chachi PT and Runway gen 2.

Apple's Entry into the AI Game

• Apple is developing its own AI named Ajax to compete with OpenAI, Microsoft, and Google.

• Ajax is expected to integrate deeply into the Apple ecosystem.

Challenges with Chat GPT Models

• Large language models like GPT 3.5 and GPT4 have been adding safety measures based on user feedback.

• However, these safety measures have resulted in decreased performance in tasks such as solving math problems and answering sensitive questions.

Conclusion

This section concludes the discussion on recent developments in the world of AI.

Final Thoughts

• Despite advancements in AI technology, storytelling elements like gripping narratives are still difficult for AI to replicate.

• The future of content creation will involve personalized experiences tailored to individual preferences.

• Apple's entry into the field with Ajax indicates a growing interest in AI among tech giants.

• Challenges with safety measures in chat GPT models highlight the trade-off between safety and performance.

The transcript provided does not cover the entire video, so the summary is based on the available content.

OpenAI's Advanced Chat GPT and Privacy Concerns

This section discusses OpenAI's advanced chat GPT version that has significant improvement in image recognition but has been delayed due to privacy and security concerns.

OpenAI's Advanced Chat GPT

• OpenAI has been testing an internally advanced chat GPT version with improved image recognition capabilities.

• The release of this version has been delayed due to privacy and security concerns.

• The AI model has the ability to match faces with names and other personal information, raising concerns about potential privacy law violations.

• OpenAI is particularly worried about misinterpretation or misrepresentation of individuals' faces, such as gender or emotional state, which could lead to harmful results.

Be My Eyes Partnership and Concerns

This section highlights OpenAI's partnership with Be My Eyes, an app that helps blind people identify objects in their daily lives. However, there are concerns regarding the potential misinterpretation of facial features by AI.

Be My Eyes Partnership

• OpenAI launched a partnership with Be My Eyes, an app that connects blind individuals with volunteers who can help them identify objects in real-time using AI.

• The app allows blind users to receive assistance in identifying product ingredients or other visual information they may need.

• The concern arises from the possibility of AI misinterpreting or misrepresenting aspects of individuals' faces like gender or emotional state, which could have potentially harmful consequences.

Hugging Face's Financing Round

This section discusses Hugging Face, an AI startup known as the "GitHub of the artificial intelligence and machine learning world," raising a significant round of financing led by Ashton Kutcher's Venture Capital firm.

Hugging Face Financing Round

• Hugging Face is raising a financing round worth $200 million at a valuation of $4 billion.

• Ashton Kutcher's Venture Capital firm, Sound Ventures, is leading the charge in this financing round.

• The details of the round are still in motion and not confirmed yet.

Stripe's Internal Language Model

This section highlights Stripe, a massive API payments company, building an internal large language model for their employees to use.

Stripe's Internal Language Model

• Stripe has developed an internal large language model (LLM) tool that is being used by one-third of their employees on a weekly basis.

• The tool includes features like prompt sharing, discovery, privacy controls, and configurable models.

• It is unlikely that Stripe is using ChatGPT due to privacy and security concerns associated with handling sensitive information as a payments company.

• There is a significant opportunity for consulting and product services to serve companies worldwide who want to deploy large language models internally while prioritizing privacy-awareness and security.

Petals: Democratizing Open Source Large Language Models

This section introduces Petals, a project aimed at democratizing open-source large language models by allowing them to run on any computer using torrent technology.

Petals Project

• Petals aims to democratize open-source large language models by enabling them to run on any computer using torrent technology.

• Torrents utilize distributed network technology where each device stores small pieces of information that can be combined into one powerful supercomputer-like network.

• With Petals, even the largest language models can be run on any device owned by individuals.

• A tutorial video on how to get set up with Petals will be released soon.

Llama 2: Meta's Latest AI Model Release

This section discusses Llama 2, Meta's latest AI model release. It provides an overview of the improvements and commercial viability of Llama 2.

Llama 2 Release

• Llama 2 is Meta's latest AI model release, following the success of the original Llama model.

• Llama 2 used 40% more data than its predecessor, resulting in significantly improved quality.

• It offers two flavors: bass and chat versions, with three different sizes: seven billion, thirteen billion, and seventy billion parameters.

• A 34 billion parameter model is still being worked on but not released yet due to security reasons.

• Fine-tuned versions of Llama 2 are already emerging, and many more are expected to be released in the coming months.

• Commercial viability is ensured as long as there are fewer than 700 million users.