John F Sowa wrote: > > Paul, > > I have never used Google AI to answer a complex question about > logic, but I thought that it might find useful information from > published

John F Sowa <sowa@bestweb.net> wrote:  There is much more to say about all these issues.  And I strongly recommend the Wikipedia article for a summary: https://en.wikipedia

of the LLM search. There is over 60 years of symbolic AI research. Neurosymbolic methods are often more reliable and faster than searching massive amounts of repetitive and often erroneus

John F Sowa > wrote: >> >> Today's talk for the Ontology Summit mentioned VLMs and LLMs. There are many more related acronyms. Following is a list. Source: https

John F Sowa wrote: > Barry, > > There is a huge difference between a few cutting-edge special cases and > widespread adoption of a general purpose solution. > > Wolfram

John F Sowa wrote: > >> > >>> Doug Lenat had presented a talk at the 2022 Ontology Summit before > >>> he died in 2023, Over the years, he and I had interacted

to the LLM methods. This is a topic that Arun Majumdar and I will be discussing in April, and it would be good if we could get a talk about how Cycorp is relating the two kinds of representations

month in LLM bills?" he wrote. Raad, who also created OpenCode, an open-sourced AI coding tool, said that people shouldn't mistake his criticism of AI. "so many people

John F Sowa wrote: > > Ravi, Michael, Mark, > > Every communication in any notation of any kind is based on some ontology at some level. > > Michael: can you explain

inherent in LLM technology when used as the primary or only version of AI. The most secure AI systems mitigate or avoid these problems by using traditional symbolic AI technology as

with > LLM-powered tooling aimed at improving communication and related workflows. > > Kingsley > On 1/1/26 9:51 PM, John F Sowa wrote: > > Jans and Kingsley, >

originally developed LLM technology as a major improvement for language translation, both natural and artificial. For that purpose, it has been an outstanding success. It's

John F Sowa wrote: se amounts of $$$ have been poured down the AI drain in hopes that something spectacular will happen. This kind of overinvestment has caused periodic Boom & Bust

John F Sowa : >> >>> Alex, >>> >>> Wolfram and others make an important check to avoid those errors. >>> >>> Wolfram translates

John F Sowa (sowa@bestweb.net) kirjoitti: > >> Alex, >> >> What I did was to call the company that used that service. Then I >> explained that the service

of the LLM-based AI technology. I agree with his negative evaluation of AI systems that use only LLMs and large volumes of data from which the LLMs find or generate answers to any requests

John F Sowa : > Alex, > > There are infinitely many finite models. In fact, it's impossible to > observe or compute more than a finite number of instances. That implies

applications of LLM technology, but methods that allow people -- especially students -- to avoid thinking for themselves weaken their ability to learn and think in deeper and more

of an LLM, an approach as used in the latest version of law analysis in the Netherlands. In short: 1. Definitions of the TERMS used in the data definitions, derivation rules and processes

John F Sowa : > Alex, > > I am not saying that the general goal is bad. In fact, it is a very > important and very difficult research issue. > > That is why I keep repeating

John F Sowa Sent: Friday, July 4, 2025 12:05 AM To: ontolog-forum ; CG Subject: [ontolog-forum] News about Apple and Amazon Two items from the newsletter by Anand Sanwal show current

John F Sowa wrote: > Mike, > > You wrote "you tend to have a didactic style that I have noted before > is off-putting." When I'm writing a note to a friendly

John, From "All those rules are versions of deduction." I got that you are simply classifying any real particular rule of knowledge

John F Sowa wrote: > Neven, Alex, Anatoly, > > These systems are very useful and they are getting better. But they are > very, very far from superintelligence. Unfortunately

John F Sowa wrote: > Following is a note I sent to another email list, and I thought it would > also be useful for the Ontolog and CG lists. In fact, the three links > below are to

component is LLM is a fact, but what is there is still unknown. My opinion: they almost certainly use some filters for the results issued by LLM. This began with the fact that LLM began

John F Sowa : >>> >>>> Alex, >>>> >>>> I agree that any ontology implemented on a digital computer cannot be >>>> informal

beyond just LLM processing. Unlike most people who wrote opinions about DeepSeek, Arun had studied the publications by the DeepSeek developers. His talk is one of the very few presentations

John F Sowa wrote: > A hybrid system that combines LLMs with symbolic reasoning provides > the best of both worlds. And it does so with just a tiny fraction of > the amount of Nvidia

approach with LLM-based methods for translating languages of any kind -- natural, logical, diagrammatic, multidimensional, and perceptual (as mapped to and from sensory input