#processes

It's a great observation. All organizations have, to different degrees, institutional knowledge that isn't formally recorded anywhere. There are usually recorded references, procedures, plans for many things ... but rarely everything about any particular task or situation. If you tried to replicate the work of the organization using only the knowledge they had written down, you would fail - there is always at least some [1] that you need to pick up by osmosis from the other people working in that organization.

The amount of this "missing documentation" varies a lot between orgs. But in my experience, large bureaucratic orgs, like government agencies, have the most undocumented institutional knowledge. This is despite the fact that they frequently have huge amounts of actual documented knowledge as well.

I would say that your estimate of a 3-week minimum to understand how a government department operates is, based on my experience working in and with government orgs, is fairly optimistic.

[1] This is despite any ISO9001-type certification.

#InstitutionalKnowledge #documentation #processes #procedures

Feb 11, 2025, 16:12 · · 0 · 0

Jens Oliver Meiert @j9t@mas.to

From the archives:

“Web Design as a Process” in Charts: Maintenance, Decay, Tech Debt, and Big Bang Launching:

https://meiert.com/en/blog/web-design-process-visualized/

#maintenance #techdebt #processes

Jan 28, 2025, 10:58 · · 0 · 0

JMLR @jmlr@sigmoid.social

'Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes', by Chengkuan Hong, Christian R. Shelton, Jun Zhu.

http://jmlr.org/papers/v25/24-0235.html

#markov #sampling #processes

Jan 27, 2025, 21:01 · · 0 · 0

Jens Oliver Meiert @j9t@mas.to

When We Need Systems, Processes, and Conventions:

Oh the bore.

https://meiert.com/en/blog/systems-processes-conventions/

#systems #processes #conventions

Dec 11, 2024, 18:47 · · 0 · 0

Philo Sophies @philosophies@synapse.cafe

#News from #AI #research : “How #ChatGPT can benefit from human #brains - or how we teach #machines to #think ”

My colleague #Axel #Stöcker and I have already been able to conduct some very exciting interviews on this very topic in our #Zoomposium series “#Artificial #intelligence and its consequences” and “#Cognitive #neuroscience and #epistemology”.

One “highlight”, for example, was the very exciting interview “Zoomposium with Dr. #Patrick #Krauss: ‘Bauanleitung Künstliches Bewusstsein’“, in which we asked him about the possibilities of ‘how the #theories of #consciousness - especially those of #Antonio #Damasio - could be used to develop artificial systems based on ’#felt” #information. This foundation could be used to #machine #learning and #deep #learning so that #AI #systems learn to respond to #emotions and #changes in their #environment in a similar way to #biological #organisms.

In this context #Patrick #Krauss was also currently at the „#Embodied and #Situated #Language #Processing (#ESLP2024) conference from 03 to 05 October 2024, which was organized by members of the „#Brain #Language #Lab“ of the #FreienUniversitätBerlin. There he had the opportunity to present the latest research results together with his team from #FAU.

One of #Patrick #Krauss talks was about a study „Analyzing Narrative Processing in Large Language Models”, which he had conducted in collaboration with his colleague #Achim #Schilling. The results of this study are partly based on an article “Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology”, for which he and his team were awarded the #BestPaperAward at the „International Jount Conference on Neural Networks #IJCNN2023”, the world's largest interdisciplinary conference on #artificial and #biological #neural #networks.

These current results from AI research of #Patrick #Krauss are therefore a real „jointventure” between #AI and #neuroscience, as the data and methods can contribute directly to the improvement of #large #language #models (#LLM), such as #ChatGPT, and in return the #cognitive #neurosciences can also learn something about the use and formation of #language in the #brain from this #implementation and #simulation of #cognitive #processes on #machines.