2020-10-20
- Lots of work.
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Have to:
- [[todo]] review Dan's document
- [[todo]] fix flancia.org as [[encincovoy]] suggested
- [[todo]] test Agora howto
- [[todo]] get back to [[jonathan-the-utopian]]
- [[todo]] get back to [[mechanical-monk]]: https://twitter.com/mechanicalmonk1/status/1318568421274116100
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Heard [[ken wilber]] in [[budhist geeks]] with [[ryan oelke]]. First three stages of Buddhism are about [[waking up]]
- First stage/turning of Buddhism: nirvana as the goal. Arhat. [[theravada]].
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Second stage: nirvana and samsara joined. Non-dual. Bodhisattva. [[Nagarjuna]]. [[mahayana]
- [[some rinpoche]]: The Bodhisattva vow is not about putting off enlightenment really; you need to know the destination to help others get it. The real point is to just not enter Nirvana and leave Samsara behind; rather to stay in a unified state to serve as a bridge.
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Third stage accepts the second stage. Buddha nature is a wisdom mind, it is always present. Explores mind states more thoroughly. [[vajrana]].
- [[kundalini]], "[[energy currents]]", etc. all come in here?
- The body is a pathway to the spiritual. [[tantra]].
- Fourth turning: about [[growing up]] (e.g. [[Piaget]], [[Kegan]]) and [[cleaning up]] (psychotherapy?).
09:59 the future of community
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radically easier to create new communities
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easier to find members to scale
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people look to nurture small communities for growth
it's so easy to find places to gather together!
- Rume
- Gather.Town
- Icebreaker
- Discord
focusing on people connecting with each other and bootstrapping communities
- Commsor
- People & Company
as the public web becomes too crowded, entertainers continue to build in public, but the rest of us look for smaller, more private spaces; connecting everyone means that nobody has a true community, so people are driving towards smaller, intentionally brewed community groups
how to bootstrap
- tribal knowledge
- tools are cruel and disconnected
what are the 'best practices' for starting a small community? evetns? meetups? traditions? customs? subgroups? how can these be encouraged? mandated?
https://www.sohohouse.com/en-us/membership
21:16 learned sorting algorithm case
src og paper Learned sort :: beter performance than RadixSort including time to train model
- build a CDF of the data
- put each item into position estimated by the CDF
- use sorting algorithm very efficient with nearly sorted arrays
solving collisions:
- scan for nearest vacant slot
- list of elements for each position
- spill bucket merged to the end of the array
'experimentally', spill bucket worked the best
lost to radix sort because of a sequential cache; make it cache efficient? use model prediction to bin the elements, not just insert them!
first phase: cascading fucket sort, making predictions to put input elements into one of f ordered buckets
after buckets of size t, each are sorted using the model predictions to put elements in the right position within the bucket concat the buckets in order merge and sort the spilled bucket with the others!
model!
- linear spline fitting for training what is this? learn it if you want to come back! leads to faster training and fewer key slots used
- public document at doc.anagora.org/2020-10-20
- video call at meet.jit.si/2020-10-20
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