Gerald and brother Ronnie Chan co founded this Morningside foundation, they are beholden to Beijing.

It seems Anderson and his Scripps Research Institute have some highly powerful and influential Chinese Communist Party members/sympathizers on their board of directors.

2) Some background,

Ronnie Chan is also the governor of the China-United States Exchange Foundation.

This entity happens to be registered as a foreign agent.
It is chaired by Tung Chee-hwa, vice-chairman of Chinese People's Political Consultative Conference.
3) In 2018 the University of Texas at Austin rejected funding from the Hong Kong-based foundation CUSEF ,citing its links to the Chinese Communist Party.

https://t.co/elapRnFsrc
4) "CUSEF is a registered foreign agent bankrolled by a high-ranking Chinese government official with close ties to a sprawling Chinese Communist Party apparatus that handles influence operations abroad, known as the united front.”
https://t.co/7NiJyfAv0C
5) Here you can see exactly their political alignment...
In an interview with Bloomberg, Ronnie Chan also co-chair of the @AsiaSociety and Hang Lung property group chief - said that those banned from #HongKong elections were "asking for it."

https://t.co/L2fvqEzQoB
6) Joshua Wong :
“Asia Society's Hong Kong chapter that Ronnie Chan co-chaired has long been slammed for censorship and political screening in the city”

https://t.co/OsprFaKSBy
7) “rather than an ordinary businessman,Chan has close ties with Beijing authority”
Wong on whether Chan's decisions to build connections to U.S. universities while suppressing dissent at home are linked
“People wonder if Chan plays a role in China's global propaganda campaign”
8)The NBA?
"The events highlight Ronnie Chan’s role within a broader push by Beijing authorities to exert control over speech not only at home but abroad — ranging from blacklisting and expelling foreign journalists, to pressuring the NBA"
https://t.co/JpUoK2y2vF
9) It's just Philanthropy from a science enthusiast.
Just relax and don't pay any attention to those shell companies guys.
10) Its raining yuan, hallelujah.

How do you manage to get a school of public health at Harvard named after the family?
11) So the NBA and Harvard caved to the will of these supervillains, how about the Department of Immunology and Microbiology at Scripps Research?

https://t.co/92SXlkJSvy
12) Bonus gaslighting

“This is the same school of public health that defended 2+2=5,”

"The T.H. Chan School of Public Health at Harvard University experts praised full-scale Chinese-inspired lockdowns"

.

https://t.co/SCBv2SpRpJ

More from All

https://t.co/6cRR2B3jBE
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.

https://t.co/FBfXhUrH5d


Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.


...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.


Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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1/ Here’s a list of conversational frameworks I’ve picked up that have been helpful.

Please add your own.

2/ The Magic Question: "What would need to be true for you


3/ On evaluating where someone’s head is at regarding a topic they are being wishy-washy about or delaying.

“Gun to the head—what would you decide now?”

“Fast forward 6 months after your sabbatical--how would you decide: what criteria is most important to you?”

4/ Other Q’s re: decisions:

“Putting aside a list of pros/cons, what’s the *one* reason you’re doing this?” “Why is that the most important reason?”

“What’s end-game here?”

“What does success look like in a world where you pick that path?”

5/ When listening, after empathizing, and wanting to help them make their own decisions without imposing your world view:

“What would the best version of yourself do”?