Our tradition of attending the annual Xposure International Photography Festival in Sharjah continues. Each year, we find a spot to capture an image that reflects my son’s age—in this case, 13. Xposure is always an inspiring event, reigniting my passion for photography—a passion first sparked by my father.
As is usually the case, I found myself drawn to both portraiture and landscape photography, with works by Andrea Belluso, Martin Stranka and Martin Schoeller. This year was particularly interesting, as Mateo repeatedly asked if some of the images he saw were AI-generated. We then started discussing the blurring of the lines in photography, Photoshop turning 35 and the inclusion of a number of machine leaning and AI features that are now built right in.
Please Allow Me to Reintroduce Myself…
NotebookLM is Google's experimental AI tool designed to help users engage with and understand complex information by leveraging AI-driven insights. Initially known as Project Tailwind, it has been rebranded and enhanced with several innovative features. Users can upload various types of documents, such as PDFs, Google Docs, and Google Slides, and even input URLs to have the tool analyze the content and generate meaningful summaries or insights.
One of its standout features is "Audio Overview," which converts documents and slides into a podcast-like format, creating an engaging audio discussion between AI-generated hosts. This can be particularly useful for users who prefer listening to content rather than reading it. Another feature allows you to ask questions about your documents and get responses, much like interacting with a custom AI chatbot trained on your specific materials.
The tool has proven to be beneficial for students and researchers, enabling them to gain new insights from their personal notes and documents. Although it is still in its experimental phase, Google has expanded its availability to over 200 countries, and they are actively refining it to improve accuracy and usability
Putting this new experimental AI to the test, It looks like it has a real talent for crafting engaging podcast content. This episode about my creative and academic journey even makes me sound somewhat intriguing!
The Agents Are Coming...
There has been a great deal of talk within the AI community about what kind of progress would be necessary to allow us to set AI systems free to operate autonomously. While some concerns may seem overblown, they are not without merit. With that in mind, OpenAI is currently working on something significant: Project Strawberry. This project, formerly known as Q*, aims to create a 'new generation' of AI with advanced reasoning capabilities and the ability to conduct autonomous research.
What is Project Strawberry?
Project Strawberry is OpenAI's latest effort to enhance AI models' reasoning capabilities, enabling them to solve complex problems and make independent decisions. Originally named after the Q* variable, the project focused on improving AI's performance in tackling difficult math and science questions—domains where language skills alone are insufficient.
The central innovation in Strawberry is the introduction of 'computer-using agents' (CUAs). These agents are designed not only to browse the web and conduct further research with minimal human intervention but also to discover new information independently. This represents a fundamental shift from the current model of AI, which relies heavily on human supervision, to one that can operate more autonomously.
One of the most intriguing aspects of Project Strawberry is its potential to revolutionize how AI models are used for tasks requiring long-term reasoning and planning. While existing AI systems can generate coherent text and summarize information, Strawberry aims to push beyond these capabilities, allowing AI to explore and process information more comprehensively.
For instance, these agents could automate tasks typically performed by human software engineers or researchers, such as coding or conducting scientific research. Early reports indicate that AI models related to Strawberry have already excelled in internal tests, including achieving over 90% accuracy on challenging math datasets.
The Greater Danger and Necessary Precautions
The prospect of autonomous AI agents is exciting, but it also raises critical concerns about oversight and safe deployment. As AI systems become more independent, the risk of unintended errors increases, and ethical questions arise about AI conducting research and making decisions without direct human intervention.
Experts caution against becoming too swept up in the hype, as the real-world applications and impact of Project Strawberry have yet to be fully proven. With limited details available, it’s crucial to approach this technology with careful consideration and to prioritize responsible development and robust safety measures.
Project Strawberry could signify significant progress toward Artificial General Intelligence (AGI), but this will require immense effort and careful navigation of the challenges that come with this new frontier in AI technology. As the AI landscape continues to evolve, Project Strawberry is likely to play a formative role in shaping the future of AI research and application for years to come.
Coming & Going
A fun little side trip in the CDMX metro to check-out the David La Chapelle installation. More fun for the adults than the children who were rewarded with a bag of Cheetos!