Skip to slide 44, which describes three projects that scan large volumes of text to find patterns stated as English questions. Those questions could be English descriptions of patterns to be detected. In those days, the technology was implemented (by us) on a small server. Today, a cell phone has more power. Our customers ran the VivioMind software on large systems that were vastly more powerful than our server.
Those systems did not use LLMs. But our new Permion.ai company has developed a major upgrade to the VivoMind system. In effect, it supports a HYBRID that uses LLMs to support a natural language translator that maps English (or other NLs) to conceptual graphs, which support the analysis and reasoning for finding, analyzing, and evaluating data of any kind,
Unfortunately, we can't get it ready to search the social media for the 2024 election, but we could do that for the 2026 election and scale it up for the 2028 election.
John
Sent: 8/17/24 7:53 AM
Here is one simple way to greatly reduce the spam, scam, erroneous and evil (e.g. virus-containing) emails that are sent to and received each day by hundreds of millions of people: Make it so that sending a single email would have a nonzero cost, e.g. a nickel for each destination email address, which would need to be paid by the sender to the national post office. Without the sender paying such a cost, the email would go into the bit bucket, and not be delivered.
To be clear, although this is simple to describe and easy to understand, it would not be easy to implement: There would be a variety of technical, business and government challenges, and probably also new laws to create and implement. Yet we appear to have reached a point where something like this may be needed.
Phil