At times this fear continues in college too.
People waste their 4 years getting a useless Liberal Arts degree cause they couldn't do Maths and hence opted out of any useful subject.
How to Not Suck at Maths (Thread)
At times this fear continues in college too.
People waste their 4 years getting a useless Liberal Arts degree cause they couldn't do Maths and hence opted out of any useful subject.
It's the language of the universe. The universe converses in numbers. The golden ratio is perfect example of same.
https://t.co/EuFEF8umEY
Do you lift weights cause you want to be a weightlifter or learn to cook cause you want to be a chef?
Fuck no, they are basic life skills; so is Maths.
Two reasons-
1) You got bad teachers
2) You didn’t do it the right way.
It becomes a vicious cycle, you suck at Maths => you don’t practise and study it enough => you start sucking more at Maths !
Solve the reasons !
1) You got bad teachers.
Ditch them, learn by the best @khanacademy
As @naval says, “Technology democratizes consumption but consolidates production. The best person in the world for anything, gets to do it for everyone.”
Let’s start doing it the right way.
1.1) Go for mastery rather than the illusion of knowledge.
Keep working on similar problems first and then move to complex ones.
(continued)
To quote @naval “Solve via iteration. Then get paid via repetition.”
Don’t go to your teacher and say with a wave of hand “I am not getting it”
Identify which step you’re not getting. Why you’re not getting ? What you’re not getting !
(continued)
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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)
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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1/12
RT-PCR corona (test) scam
Symptomatic people are tested for one and only one respiratory virus. This means that other acute respiratory infections are reclassified as
2/12
It is tested exquisitely with a hypersensitive non-specific RT-PCR test / Ct >35 (>30 is nonsense, >35 is madness), without considering Ct and clinical context. This means that more acute respiratory infections are reclassified as
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Even asymptomatic, previously called healthy, people are tested (en masse) in this way, although there is no epidemiologically relevant asymptomatic transmission. This means that even healthy people are declared as COVID
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RT-PCR corona (test) scam
Symptomatic people are tested for one and only one respiratory virus. This means that other acute respiratory infections are reclassified as
4/10
— Dr. Thomas Binder, MD (@Thomas_Binder) October 22, 2020
...indication, first of all that testing for a (single) respiratory virus is done outside of surveillance systems or need for specific therapy, but even so the lack of consideration of Ct, symptoms and clinical findings when interpreting its result. https://t.co/gHH6kwRdZG
2/12
It is tested exquisitely with a hypersensitive non-specific RT-PCR test / Ct >35 (>30 is nonsense, >35 is madness), without considering Ct and clinical context. This means that more acute respiratory infections are reclassified as
6/10
— Dr. Thomas Binder, MD (@Thomas_Binder) October 22, 2020
The neither validated nor standardised hypersensitive RT-PCR test / Ct 35-45 for SARS-CoV-2 is abused to mislabel (also) other diseases, especially influenza, as COVID-19.https://t.co/AkFIfTCTkS
3/12
The Drosten RT-PCR test is fabricated in a way that each country and laboratory perform it differently at too high Ct and that the high rate of false positives increases massively due to cross-reaction with other (corona) viruses in the "flu
External peer review of the RTPCR test to detect SARS-CoV-2 reveals 10 major scientific flaws at the molecular and methodological level: consequences for false positive results.https://t.co/mbNY8bdw1p pic.twitter.com/OQBD4grMth
— Dr. Thomas Binder, MD (@Thomas_Binder) November 29, 2020
4/12
Even asymptomatic, previously called healthy, people are tested (en masse) in this way, although there is no epidemiologically relevant asymptomatic transmission. This means that even healthy people are declared as COVID
Thread web\u2b06\ufe0f\u2b07\ufe0f
— Dr. Thomas Binder, MD (@Thomas_Binder) December 16, 2020
The fabrication of the "asymptomatic (super) spreader" is the coronation of the total nons(ci)ense in the belief system of #CoronasWitnesses.
Asymptomatic transmission 0.7%; 95% CI 0%-4.9% - could well be 0%!https://t.co/VeZTzxXfvT
5/12
Deaths within 28 days after a positive RT-PCR test from whatever cause are designated as deaths WITH COVID. This means that other causes of death are reclassified as
8/8
— Dr. Thomas Binder, MD (@Thomas_Binder) March 24, 2020
By the way, who the f*** created this obviously (almost) worldwide definition of #CoronaDeath?
This is not only medical malpractice, this is utterly insane!https://t.co/FFsTx4L2mw
So the cryptocurrency industry has basically two products, one which is relatively benign and doesn't have product market fit, and one which is malignant and does. The industry has a weird superposition of understanding this fact and (strategically?) not understanding it.
The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.
This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.
The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."
This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.
If everyone was holding bitcoin on the old x86 in their parents basement, we would be finding a price bottom. The problem is the risk is all pooled at a few brokerages and a network of rotten exchanges with counter party risk that makes AIG circa 2008 look like a good credit.
— Greg Wester (@gwestr) November 25, 2018
The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.
This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.
The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."
This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.