Neuro-Symbolic Models are Making a Comeback
Summary
None Edge 388: We deep dive into SIMA, Google DeepMinds agent that can follow instructions to interact with any 3D environment.You can subscribed to The Sequence below:Large language models (LLMs) have dominated the AI narrative in recent years to the point that we almost need to wonder about the future of other areas of machine learning. High computation costs, hallucinations, lack of interpretability, and the constant vulnerabilities associated with relying on stochastic machines are some of the known limitations of LLMs, with no clear solutions in the current state of technology. Can we expand the AlphaGeometry approach to mainstream use cases?Last week, a new AI startup called Symbolica emerged from stealth mode with $33 million in new funding from iconic VCs such as Khosla Ventures. In their press release, Symbolica cited AlphaGeometry as one of the inspirations for their work.As every company transitions to AI-first business processes, there is no doubt that we need smaller, easier-to-manage and understand models. Ferret-UI could be one of the foundations for building LLM agents in IPhones > Read more.Google Research published a paper proposing pilling with Orthogonality-Amplified Residuals (SOAR), a new method for vector search.