Re: Semantic / CogAI filesystem?

quick questions;

If LLMs are now defined as stuff like GPT / Transformer models,

What do you / w3c call older LLMs like; Babelnet, cyc, FrameNet, Framester,
Lemon, linguistlist, SUMO, WordNet, etc...

Also, is web 3.0 still web 3.0?  it seems to have been adopted in some way,
which kinda leaves open the opportunity to define internet 3.0 ;)

whilst the 'web 3.0' stuff isn't so important atm, the issue about 'large
language models;' vs. transformer models, or however the terminology should
now be categorised; which thereby also leads to various issues about how
the term 'ai' is defined, but starting small....

https://www.w3.org/TR/wordnet-rdf/  and all such things seemed to be fairly
big jobs.  Whilst I think they need to be updated to support
spatio-temporal notations, vector stuff, etc... (resources for logical
programming, Computational geometry, et.al. imho, ) It seems there's a
problem with being clear about terms and their meanings...

FWIW: Figure it's probably an important issue to raise in relation to W3C
activities generally.

cheers,

tim.h.


On Mon, 13 Nov 2023 at 20:17, Timothy Holborn <timothy.holborn@gmail.com>
wrote:

> K.
>
> I'll follow-up when I've put together some thoughts, following more
> research.
>
> Cheers.
>
> Tim.h.
>
> On Mon, 13 Nov 2023, 8:11 pm Dave Raggett, <dsr@w3.org> wrote:
>
>>
>>
>> On 13 Nov 2023, at 10:37, Timothy Holborn <timothy.holborn@gmail.com>
>> wrote:
>>
>> Hi Dave,
>>
>> I wondered if you had any thoughts on the potential application of your
>> CogAI work to create a semantic/CogAI filesystem?
>>
>>
>> Yes, and in conjunction with large language models.  I see the
>> combination (something I refer to as cognitive databases) as an
>> evolutionary replacement for today’s graph databases, and paving the way to
>> zero-code applications. I see this as enabling collaborative knowledge
>> engineering (see my talk [1]) where the computer and human play
>> complementary roles.  The human can ask the computer to perform an analysis
>> of the data, leaving the details to the computer to figure out for itself.
>>
>> The huge hype around generative AI has drawn attention away from the
>> limitations of the current approaches to large language models.  I see many
>> opportunities for evolving artificial neural networks inspired by what we
>> know about human cognition. This will enable computers to become very
>> effective partners for human-machine collaborative work.
>>
>> Neural networks and vector spaces are very powerful for representing
>> complex statistical relationships, as a generalisation of symbolic
>> knowledge, and learned and queried by machine. This changes the conception
>> of databases considerably. The impact of this will be dramatic.
>>
>> [1] http://www.w3.org/2023/10/10-Raggett-AI.pdf
>>
>>
>> I was looking at the solid code again recently, and was thinking about
>> the implementation structure.
>>
>> I haven't done much more thinking about it yet, but thought I'd ask you
>> just in case.
>>
>> Whilst my plans for human centric AI stuff, particularly my thoughts on
>> my own implementation, may not be solid, although I want compatibility /
>> backwards compatibility...
>>
>> It seemed to me that there's an ability to make distinctions between
>> different agents using multiple "pods" via methods that assume domain
>> ownership.
>>
>> Without getting into it further, the basic thought was about semantic
>> file systems which then led to wondering about CogAI file systems...  How
>> that might work?
>>
>> Tim.H.
>>
>>
>>
>>
>> Dave Raggett <dsr@w3.org>
>>
>>
>>
>>