[FRIAM] Honeymoon over!
Steve Smith
sasmyth at swcp.com
Mon Jan 29 12:01:16 EST 2024
With integration of LLMs (and other ML) into AR and personal assistant
tech riding around on early adopters "shoulders", I would expect these
percieve-reason-act structures to be "in training" essentially learning
how to emulate (and extrapolate) their user's/wearer's/familiar's
decision processes?
It would seem that this is where Pearl and Glymour's causal inferencing
models would be directly applicable?
I read somewhere that Tesla's data gathered from their Self Driving
features represents a somewhat unique data-set due to these
percieve/reason/act implications. Does (less than full) self-driving
car tech not represent a real-life training opportunity?
An AR enhanced ML personal assistant would seem to be an equally obvious
place to begin to bootstrap training an AI in "everyday activities"?
On 1/28/24 5:23 PM, Russ Abbott wrote:
> Thanks, Jochen, I know about LangChain. I'm not claiming that LLMs
> cannot be used as elements of larger computations, just that LLMs on
> their own are quite limited. I'll make that point in the talk if the
> abstract is accepted.
> _
> _
> __-- Russ Abbott
> Professor Emeritus, Computer Science
> California State University, Los Angeles
>
>
> On Sun, Jan 28, 2024 at 1:31 PM Jochen Fromm <jofr at cas-group.net> wrote:
>
> Langchain is an agent framework started by Harrison Chase. A
> Langchain agent uses LLMs to reason in a perceive-reason-act
> cycle. One could argue that Langchain agents are able to think,
> and we are even able to watch them thinking
> https://github.com/langchain-ai/langchain
>
> deeplearning.ai <http://deeplearning.ai> has free courses about
> Langchain
> https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/
>
> -J.
>
>
> -------- Original message --------
> From: Russ Abbott <russ.abbott at gmail.com>
> Date: 1/28/24 9:58 PM (GMT+01:00)
> To: The Friday Morning Applied Complexity Coffee Group
> <friam at redfish.com>
> Subject: Re: [FRIAM] Honeymoon over!
>
> Sorry you couldn't get through. The abstract for the abstract had
> to be submitted separately. Here it is.
>
> LLMs are strikingly good at generating text: their output is
> syntactically correct, coherent, and plausible. They seem capable
> of following instructions and of carrying out meaningful
> conversations. LLMs achieve these results by using transformers to
> produce text based on complex patterns in their training data. But
> powerful though they are, transformers have nothing to do with
> reasoning. LLMs have no means to build or to reason from internal
> models; they cannot backtrack or perform exploratory search; they
> cannot perform after-the-fact analysis; and they cannot diagnose
> and correct errors. More generally, LLMs cannot formulate, apply,
> or correct strategies or heuristics. In short, LLMs are not a step
> away from Artificial General Intelligence.
>
> A pdf of the full abstract is attached.
> _
> _
> __-- Russ
>
> On Sun, Jan 28, 2024 at 10:12 AM Steve Smith <sasmyth at swcp.com> wrote:
>
>
>>
>> And if you're interested, my long abstract submission to
>> IACAP-2024
>> <https://pretalx.iacapconf.org/iacap-2024/me/submissions/N388VQ/>
>> has related thoughts. (Scroll down until you get to the link
>> for the actual paper.)
>
> Russ -
>
> I am interested in reading your abstract/paper..._
> _
>
> I signed up for an IACAP account but the link you provided
> seems to be dead?
>
> - Steve_
> _
>
> -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. .
> FRIAM Applied Complexity Group listserv
> Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p
> Zoom https://bit.ly/virtualfriam
> to (un)subscribe
> http://redfish.com/mailman/listinfo/friam_redfish.com
> FRIAM-COMIC http://friam-comic.blogspot.com/
> archives: 5/2017 thru present
> https://redfish.com/pipermail/friam_redfish.com/
> 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/
>
> -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. .
> FRIAM Applied Complexity Group listserv
> Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoom
> https://bit.ly/virtualfriam
> to (un)subscribe http://redfish.com/mailman/listinfo/friam_redfish.com
> FRIAM-COMIC http://friam-comic.blogspot.com/
> archives: 5/2017 thru present
> https://redfish.com/pipermail/friam_redfish.com/
> 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/
>
>
> -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. .
> FRIAM Applied Complexity Group listserv
> Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoomhttps://bit.ly/virtualfriam
> to (un)subscribehttp://redfish.com/mailman/listinfo/friam_redfish.com
> FRIAM-COMIChttp://friam-comic.blogspot.com/
> archives: 5/2017 thru presenthttps://redfish.com/pipermail/friam_redfish.com/
> 1/2003 thru 6/2021http://friam.383.s1.nabble.com/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://redfish.com/pipermail/friam_redfish.com/attachments/20240129/efe9d8f6/attachment.html>
More information about the Friam
mailing list