From Personal Productivity to Process Automation

AI tools like Claude and ChatGPT are changing personal productivity. These tools excel at simple, one-shot interactions, known as "Type 1 thinking," enabling users to quickly complete tasks and boost efficiency. However, as businesses look to integrate AI into more complex processes, the limitations of these tools become apparent.

Moving from personal productivity to process automation requires AI agents that can handle multi-stage problem-solving, or "Type 2 thinking." This is where many current AI tools fall short. To bridge this gap, researchers have developed a novel approach called the MACGYVER method.

This approach focuses on testing and developing AI agents that can tackle intricate, real-world challenges. Central to this approach is the MACGYVER dataset, which consists of over 1,600 problems designed to assess an AI's creative problem-solving abilities. These problems require innovative use of objects and out-of-the-box thinking, pushing the boundaries of what AI can currently achieve.

As businesses continue to explore the potential of AI, the MacGyver approach provides a roadmap for advancing from personal productivity to process automation. By embracing creative problem-solving benchmarks and open-source datasets, companies can unlock the full potential of AI, driving innovation and efficiency across their operations.

Events

Happy to announce that unfold:ai will be one of the speakers at this event. If you are an entrepreneur in the midlands this could be the unlock to your growth.

Synthetic Voices

One of the AI solutions we look into and frequently experiment is the synthetic voice AI technology. It provides a very cost effective way of increasing accessibility to content, and multilingual translation.

However, it’s also an area where responsibility is required, from a deep fake perspective. OpenAI have new technology, and in a turn of approach similar to SORA, they have demonstrated it, and chosen that releasing it right now would not be responsible.

If you would like to hear AI voices (these are from eleven labs) then the Perplexity daily discovery podcast is worth a listen to.

You can read the blog from OpenAI, and listen to the examples.

Apple enter the AI ReALM

(I feel like I should apologise for that title)

Apple's recent research on ReALM (Reference Resolution As Language Modeling) opens up new possibilities for enhancing on-device AI in smartphones. By leveraging the power of large language models (LLMs), ReALM enables efficient and accurate resolution of conversational and on-screen references, all while maintaining user privacy and minimizing latency.

The implications of this technology for smartphone AI are significant. With ReALM, voice assistants can better understand the context of user queries, including references to on-screen elements and previous interactions. This allows for more natural and intuitive user experiences, as the AI can grasp the user's intent more accurately.

The efficiency of ReALM also makes it an ideal candidate for on-device deployment. By achieving comparable performance to state-of-the-art LLMs with fewer parameters, ReALM can run smoothly on smartphones without consuming excessive resources or compromising user privacy.

As smartphones continue to evolve and integrate more AI-powered features, technologies like ReALM will play a crucial role in delivering seamless, context-aware, and privacy-preserving user experiences. Apple's research paves the way for a new generation of on-device AI that can truly understand and assist users in their daily interactions with their smartphones.

Coffee Time Diversions

The first native AI driven eCommerce chatbot plug in. Behind the scenes product ingestion, the video is well worth a watch.