Published on December 6, 2023, 8:16 am

Welcome to the AI Index Report, where we provide you with the latest insights on artificial intelligence (AI). In this edition, we will be discussing topics such as innovation in AI, funding for AI startups, and solutions for language barriers in generative AI.

Innovation:

OpenAI has recently been working on an innovative research project called Q*. This project aims to develop AI models that can solve math problems completely on their own. While the math problems may have been simple, it demonstrates the potential of AI machines to reason. The question arises: once these models have sufficient reasoning abilities, can we define them as being smarter than humans? However, with reasoning comes the need for good intentions. It is crucial for researchers and developers to be aware of potential risks as they continue to innovate in the field of AI.

Funding:

Pika Labs, a video AI startup, announced that it has raised $35 million in a Series A round of funding. This brings its total funding to $55 million within just six months. Pika Labs also unveiled its first product called Pika 1.0. This web-based platform allows users to generate diverse video content, including 3D animations, anime, cinematic videos, or live-action content. The platform supports text-to-video, image-to-video, and video-to-video functionalities.

Another notable development is Adobe’s acquisition of Rephrase.ai. With this acquisition, Adobe aims to provide generative AI tools for video production. While fully AI-generated videos may still take some time to become mainstream, the progress in developing these tools is happening faster than anticipated. Creative teams can utilize these tools for various marketing use cases or idea testing purposes.

Solution:

Large language models (LLMs) are powerful tools in generative AI; however, they heavily rely on internet data during training. Certain languages that lack substantial online content tend to have less representation in LLM training data. As a result, LLMs struggle to generate text in those languages, making generative AI tools less accessible for speakers of such languages. To address this issue for African languages, a team of researchers in South Africa launched a venture called Lelapa AI. Their first product, Vulavula, focuses on voice-to-text capabilities and name detection in four languages. The researchers collaborate with online and offline linguists as well as the broader community to collect data, annotate it, and train the models.

In conclusion, the field of generative AI continues to evolve rapidly. Innovations like OpenAI’s Q* project and startups like Pika Labs are pushing the boundaries of what can be achieved with AI. Moreover, efforts to address language barriers in generative AI, such as Lelapa AI’s Vulavula platform, are making AI more inclusive and accessible across different languages. Stay tuned for more exciting developments in the world of AI!

For more insights on AI, visit the ai/AI Index channel on Acceleration Economy.

Source: [Acceleration Economy](https://accelerationeconomy.com/ai/ai-ai-index-weekly-report/ai-index-openais-q-generative-ai-for-video-training-llms-with-african-languages/)

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