[FRIAM] Honeymoon over!
Russ Abbott
russ.abbott at gmail.com
Sun Jan 28 15:56:58 EST 2024
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
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