[x3d-public] MCCF Issues

[cbullard at hiwaay.net]

MCCF Progress:

1. Using Claude, a new chat loses state precariously.   What worked 
smoothly in first chat goes to hell in new chat.  Because chat context 
windoww are limited, am forced into new chat which is the 50 FIrst Dates 
problem.  I can use the GitHub to recover state but it is not a perfect 
solution.

https://aiartistinprocess.blogspot.com/2026/04/the-seed-crystal-how-artists-can.html

2.  Rate limits on downloads from GitHub force copying into Claude chat 
window.  Second session limits are much lower so time is lost waiting 
for resets.  Frustrating.

3.  Much session time is wasted because Claude makes lots of mistakes 
with the coding and in the successive chats as the project grows more 
complex this compounds.  Corrections take several tries and each attempt 
has to be retested by me.  It is confident of fixes but wrong. Claude 
can corrupt code.  Keep old working versions. Frustrating.

4.  If Claude is pulling from GitHub and I am testing the local files it 
gives to me, it is easy to desync and collide.  This did not occur 
during first chat session.  A nightmare.

AI coding is productive but can be expensive.   It is not all it is 
cracked up to be.  YMMV.

5.  Working with W3DC projects can be hit or miss.  Working groups are 
not as responsive as ten years ago and that is likely because it is a 
much smaller group.  X_Lite is polymorphic because it is handling 
multiple formats.  A 3D swiss army knife.  At minimum this means API 
calls are not as documented in standard.  Product documentation as far 
as I can tell does not include the product specific API calls.  Two 
implications:

a.  If a developer is not "in the know" they will waste time and 
resources.

b.  AI will not be "in the know" because it scrapes for training data 
and sparse data or legacy non-currrent data is used for training.  It 
can't keep up.  Results of a and b are frustration, wasted time and 
wasted money.  Caveat emptor.

6.  A Harvard researcher forked the Github.  The good news is interest 
in an open source project.  The bad news is he inherited all of the SAI 
problems.  It is a prototype and those are the risks with open source.  
We shall see if code contributions are made back to the original 
project.   Fortunately everything is time stamped so YMMV.

7.  Reddit articles show that others including Anthropic are researching 
the emotional attractors in Claude.  Because affective layers are part 
of every Foundation LLM, this is good news.  It validates what we set 
out to work on with the MCCF.  The math approach we are using is likely 
unique because I require a dynamic system.  It is working and we benefit 
from the published results of other researchers.  MCCF is very 
expressive and pretty much on target for tools to explore emotional 
vectors, domains and trajectories in LLMa.  The HumanML work twenty 
years ago paid off.  I suspect the use of X3D for visualization for MCCF 
is likely unique.  Because my goals for this project are not explicitly 
the same, I anticipate divergence.  That's fine.

Time to go do something else for a few hours.

len