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Apr 18 18 tweets 12 min read Twitter logo Read on Twitter
2. Python code ImageImage
3. This one for @jmcrookston @dbdugger. What can we learn from the HIV policy for SARS-CoV policy? ImageImageImageImage
@jmcrookston @dbdugger 4. Need to be careful, as the language model easily generates fairytales, but not bad: ImageImage
5. The huge volume of low-quality source information (I guess) lets it quickly drop back into droplet dogma. Still, ImageImageImage
seems to have a higher opinion of virologists ... ImageImage
ChatGPT seems to have a higher opinion of virologists than of five year olds...

So much for fun with predictive text generator #SIDU 230418 for today! Image
6. How does this black magic work? yes, may need to look into better models for less randomness ;) ImageImage
7. Adaptation for different audiences ImageImage
8. This is fun because ML/LLM are based on the late Wittgenstein's philosophy of language (PI)—on his observations of how children learn mentioned previously but deleted. Follow @desireejweber @GreenRupertRead and other LW scholars for more AI insights 😂 towardsdatascience.com/neural-network…
@desireejweber @GreenRupertRead 9. Some reading; don't know what the best introductions are: researchgate.net/profile/Robert… ImageImageImage
@desireejweber @GreenRupertRead 10. Google Translate is a Wittgenstein fan, qz.com/1549212/google…
@desireejweber @GreenRupertRead 11. Translator takes issue with the simplistic piece;

"On the ideas of language, language games, and forms of life, Wittgenstein saw language as inextricably connected to human activities, not solely to syntactical constructs."

Fun to see things moving, community.beck.de/2019/02/18/wit…
12. Adding this great use of language models via @scottjla,
@scottjla 13. Machine learning is an empathy learning machine!
16. Adding this too: - your being able to imagine the world of highly unempathetic persons is a high form of empathy/intelligence and solid survival skill!

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More from @_ppmv

Apr 19
All who criticize Laura for linking an article: yes, right-wing outlets are literally the only backwater galaxies in the media universe talking about this! They ignore the virus over the vaccine.

If you don’t like it, start scientific policy analysis, to help us avoid the worst. Image
Thanks so much @LauraMiers. You (we all) shouldn’t need to do this 🙏
A few hundred scientific references, if you count studies quoted. (I share as much every day) - SARS-CoV-2 is fast becoming one of the best researched viruses, yet we’re still scratching the surface. The vaccines hold crucial scientific questions too.
Read 4 tweets
Apr 19
1. Marburg virus infects health workers

A logical result of treating a virus that can be airborne as if it can’t.

Use WHO’s IPC: N95 w/eye protection to protect yourself. #PrecautionaryPrinciple Image
2. “Aerosol Transmission of Filoviruses”

Article comes with disclaimer that NIH including articles in their database doesn’t mean endorsement. Required reading for Ebola virus disease and Marburg, focus on pigs as hosts.

Always read the vet studies. mdpi.com/1999-4915/8/5/…
3. First rename it. Otherwise how can you tell airborne Marburg from the city? Image
Read 9 tweets
Apr 18
1. Simple policy like 'hygiene and pasteurization' doubled the human lifespan after 1889, stopping constant CoV outbreaks from milk.

Simple policy like 'quarantine, isolation, N95 and international cooperation' ended SARS-CoV-1.

We can end CoV-2. Don't halve the human lifespan.
2. It's subtle, so you'll need guidance.

Here your crash course to SARS-CoV-2: If we continue to skip time-proven policies that eradicated its cousin in 2003, leaving it free to explore its mutational landscape, then we can catapult humanity back in time. ImageImage
3. How deep can unmitigated Living with SARS go? Decades to 150 years back in time.

By 2025 we'll know more, from five-year studies on COVID survivors.

My analysis differs because progress is never won by science alone, but by law, organizers, activism. nytimes.com/2021/04/27/mag…
Read 36 tweets
Apr 18
Word of context: @KrVaSt asks if ice shelf and sheet melt from Antarctica and Greenland could disrupt ENSO, forcing the system into longer or more frequent La Niña events than models expect, via ice export feedbacks on salinity, density, currents, T, bodies of water. v. relevant.
@KrVaSt Many focus on the next years; but feedbacks can ramp up long-term as melt rates from GIS WAIS EAIS increase. It may in turn make heat available to melt ice more rapidly, accelerating sea level rise.

There's 'unexplained' paleo evidence for a La Niña bias.
@KrVaSt A second, distinct bias: "current models predict that rising GHGs reduce the west-to-east warm-to-cool SST gradient across the equatorial Pacific. In nature however the gradient has strengthened in recent decades as GHG concentrations have risen sharply."
Read 6 tweets
Apr 18
1. 9 young pilots died suddenly within 40 days. Wild

because the article only talks about vaccines. It’s as if people are unable to face the fact that SARS-CoV-2 as vascular disease causes blood clotting and the types of deaths we see, more so AT HIGH ALTITUDE. Come on everyone.
2. State of the literature on myocarditis and sars CoV 2 mdpi.com/1999-4915/15/4…
3. Risk of Thrombosis during and after a SARS-CoV-2 Infection: mdpi.com/2038-8330/15/2…
Read 7 tweets
Apr 17
A population-wide rise of cancers is coming, and good use of natural experiment techniques. We need much more of this type of interdisciplinary research. Incredible how little there is, in year four - this was expected since 2020.
How we do on “living with SARS-Co”? Nine pilots died in 40 days. Most in-flight.(?)

For now aviation is a positive feedback, but eventually it’ll shift into a negative feedback. We mentioned high altitude is high risk for SARS survivors. Vascular disease.
We strategically cover misspellings for better search ability ☺️ - beautiful translation / explanation of SRAS supervivientes en español:
Read 6 tweets

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