Blog17

This is the third and final piece in a series examining the most effective uses of LLMs and why a more holistic approach to AI combined with different forms of…

This is the second piece in a series examining the most effective uses of LLMs and why a more holistic approach to AI combined with different forms of reasoning is…

This is the first piece in a series examining the most effective uses of LLMs and why a more holistic approach to AI that combines formal, efficient reasoning systems with…

There have been many versions of how Elemental Cognition was founded cropping up recently, and I am flattered by the interest but also excited to share my personal story. It’s…

Perils of doing mission-critical research with a Large Language Model Recently, a NY law firm was in the news for the wrong reasons – the firm’s lawyer used ChatGPT to…

In an earlier post, we discussed the recent progress of large language models (LLMs). We discussed how they are impressively fluent and creative, but struggle with precise and correct reasoning.…

The power of adding precision and logic to Large Language Models. The popularity of ChatGPT has brought large language models (LLMs) and generative AI into the popular vernacular. LLMs generate…

To realize their full potential, they must be augmented with logical reasoning.  As demonstrated by the recent release of ChatGPT, the evolution of language models over the past few years…

We are thrilled that Elemental Cognition’s latest research – Braid: Weaving Symbolic and Neural Knowledge Into Coherent Logical Explanations – was selected for publication for the AAAI-22 Conference. In light…

When Elemental Cognition CEO David Ferrucci started the company, he had a big vision in mind. “If computers could understand what they read, the impact on humanity would be enormous,”…

When we read or engage in dialog, we don’t just memorize and index words; we develop “mental models.” These are rich structures that our minds use to model, or represent,…

For computers to understand what they read, they need to know how the world works. Take, for example, the following story from the ROCStories corpus: Gage was riding his bike.…

The LLM Sandwich: the architecture slice by slice Computers that claim to “understand” language still lack world models—faithful representations of how objects and events relate to each other. As I…

Elemental Cognition CEO David Ferrucci started the company with a big vision in mind. “If computers could understand what they read, the impact on humanity would be enormous,” he said.…

In my last post, I shared some telling examples where computers failed to understand what they read. The errors they made were bizarre and fundamental. But why? Computers are clearly missing something,…

AI has a dirty secret: it doesn’t understand language. Take the recent question-answering system called Aristo. When it came out, early articles proclaimed that the system was “ready for high school science, maybe even college” and called it “as…

What if computers could understand what they read? I don’t mean “understand” in the shallow sense of recent machine learning wizardry, where systems extract statistical patterns from millions of documents…