David Ing @daviding@qoto.org
- Coevolving Innovations
- https://coevolving.com/blogs/
- Distractions, Reflections
- https://daviding.com/blog/
- David Ing. In brief
- https://ingbrief.wordpress.com
- Systems Community of Inquiry
- http://stream.syscoi.com
Systems change researcher resident in Toronto, Canada. Past president, International Society for the Systems Sciences. Author of Open Innovation Learning book. Research fellow, CSRP Institute. Alumnus of IBM after 28 years.
Joined Oct 2018
Web video presentation complementing preprint of "Reifying Socio-Technical and Socio-Ecological Perspectives for Systems Changes: From rearranging objects to repacing rhythms" for International Conference on Socio-Technical Perspectives in IS (STPIS’24)
https://coevolving.com/blogs/index.php/archive/reifying-socio-technical-and-socio-ecological-perspectives-for-systems-changes-stpis/
Invited paper to International Conference on Socio-Technical Perspectives in IS (STPIS’24) on Friday, Aug. 16, 2024, https://stpis.org/program/ online to Sweden.
Preprint at https://coevolving.com/commons/2024-08-reifying-socio-technical-socio-ecological-stpis
Web video from U. Hull Centre for Systems Studies expert-led session on "Resequencing #SystemsThinking: Practising, Theorizing and Philosophizing as Systems Changes Learning", 4 parts, ~ 3 hours.
https://coevolving.com/blogs/index.php/archive/resequencing-systems-thinking-u-hull/
Slides at https://coevolving.com/commons/2024-05-resequencing-systems-thinking need talk, animation.
Scholarly rankings of #SystemsThinkers may not line up with popularization. Counting h-index is different from number of citations.
https://coevolving.com/blogs/index.php/archive/citation-rankings-for-some-systems-thinkers/
Serious about a postcolonial philosophy of Chinese science? Web video of "Yinyang and Daojia into #SystemsThinking through Changes" for #EQLab traces through history + the contextural-dyadic shift for #SystemsChange
https://coevolving.com/blogs/index.php/archive/yinyang-and-daojia-into-systems-thinking/
If an LLM is going to run in your phone, the model is going to have to be small.
> Paradoxically, smaller models require more training to reach the same level of performance. So the downward pressure on model size is putting upward pressure on training compute.
"AI scaling myths" | Arvind Narayanan + Sayish Kapoor | AI Snake Oil | 2024-06-27 https://www.aisnakeoil.com/p/ai-scaling-myths
Running an open source LLM requires a lot of resources. The smallest model may run on a powerful laptop, but beyond that, you'll need a server. Besides the GPU (probably Nvidia), check out the disk space requirement for Llama 3.1
8b parameters, 4.7GB
70b parameters, 40GB
405b parameters, 231GB
David Ing
boosted
51% of Americans support the idea of mass deportations, including 42% of Democrats, according to a survey of 6,251 adults conducted online in April by The Harris Poll.
> The same poll found many Americans are confused about basic facts of illegal immigration. Nearly two-thirds believe immigrants receive more in welfare and benefits than they pay in taxes. In fact, most U.S. undocumented immigrants pay taxes but aren't eligible for the benefits themselves.
It's not a democracy when the population is deceived on important issues.
https://www.cbc.ca/news/politics/trump-mass-deportation-canada-1.7276954?cmp=rss
- Coevolving Innovations
- https://coevolving.com/blogs/
- Distractions, Reflections
- https://daviding.com/blog/
- David Ing. In brief
- https://ingbrief.wordpress.com
- Systems Community of Inquiry
- http://stream.syscoi.com
Systems change researcher resident in Toronto, Canada. Past president, International Society for the Systems Sciences. Author of Open Innovation Learning book. Research fellow, CSRP Institute. Alumnus of IBM after 28 years.
Joined Oct 2018
