Bending AI to Our Collective Will: A Glimpse into the Future from Daniel Aharonoff
As we stand on the brink of a new era in artificial intelligence, I find myself reflecting on the recent letter from Alexander Karp, CEO and co-founder of Palantir Technologies. In this letter, Karp outlines the imminent release of their new AI platform (AIP), a system designed to combine machine learning technologies with the latest large language models, transforming the way we interact with machines and data.
The Advent of Generalizable AI
The momentum we are currently witnessing in the development and application of AI technologies is nothing short of astounding. The advent of more generalizable AI systems has begun to materially transform the way we conduct business, and Palantir Technologies has spent two decades building the foundational data platforms necessary to harness these advancements.
Key points of the AIP platform include:
- Combining machine learning technologies with the latest large language models
- Deployment across commercial and government sectors
- Imposition of legal, ethical, and regulatory constraints on data
- Allowing users to interact with data sets in plain English
Granular Access Controls and Ontology
As Karp points out, granular access controls are essential not only for the efficacy of AI systems but also for their adoption and acceptance by the public. By imposing an ontology on data, we ensure that it reflects the structure of actual objects in the real world. This, in turn, allows organizations to implement AI within the legal, regulatory, and moral confines of their enterprises.
The Power of Large Language Models
The development and refinement of large language models have opened up new means of interacting with machines that have never before existed. By allowing users to ask layered and complex questions in plain English, we are essentially democratizing access to data sets that were previously inaccessible to non-technical users.
The Ethical Challenges
Of course, with great power comes great responsibility. As Karp notes, the deployment of these AI technologies must conform to ethical and legal norms, and we must strive to ensure that these systems remain subservient to our collective will. The challenge lies in imposing our values on the software we create, lest it impose an emergent and unconstrained set of values on us.
In closing, I would like to echo Alexander Karp’s sentiment that pausing the development of these emerging technologies would be tantamount to indulging in a fantasy of a world without conflict. It is our responsibility as technologists, entrepreneurs, and leaders to push the boundaries of what is possible and ensure that AI serves the greater good.
As we continue to explore the potential of AI and the new platforms like Palantir’s AIP, let’s embrace the challenge of aligning these systems with our values and striving for a future where AI truly bends to our collective will.