Agreed. But, QBASIC is even better.
No need for numbered lines, no need for a book, the basic help documentation covers all you need to know to learn as a 8 yo kid.
The curious thing about Michael Levin's work is that they figured out "top level abstractions" in bioelectricity that tell the body to figure out everything, including the proper wiring. The have grown eyes in the wrong places that figure out how to connect to the brain, and even two heads.
These guys are decoding the actual bioelectrical code that governs morphogenesis, in a way that you don't need to micromanage anything, you just say "grow an eye" and the cells figure out the rest.
This is a very naïve view of Asset management companies work.
They have tremendous influence:
1- Blackrock has 170 ETFs with 8.5 Trillion USD.
2- When you buy a ETF, you own the ETF, BlackRock owns the underlying Shares.
3- They exercise voting rights, through their BlackRock Investment Stewardship, based on their own internal policies.
4- They provide limited proxy voting to eligible institutional investors, which is a tiny percentage of their actual clients, representing 12% of their holdings. The rest is completely under their control.
5- They define the ETFs, which means they get to choose how to invest, their clients get to choose which ETF to buy.
6- ETFs are usually defined very loosely, with a lot of maneuvering. Even "iShares S&P" definition is "seeks to replicate the performance of S&P 500". This means they don't have to replicate the holdings, just "try" to mirror performance. In practice this means that the top 10 holdings across all different S&P ETFs are similar, but the long tail has a lot of maneuvering and differences. As long as they provide a similar* performance.
7- They are the pushers of ESG, which means there specific ETFs whose portfolio is driven by ESG scores, and their voting decisions across all the assets they hold across all ETFs are shaped by ESG policies.
8- ESG scores is how they "launder" their influence, and they actively campaign and try to shape public discourse around this. They claim to be doing ESG, but in practice they do what they want. A clear example:
Important to point out they are talking about harm to self + harm to others. What's not clear is if they are looking at it from a society perspective or from the individual.
From a society perspective any drug with high prevalence of use should top the chart, because of the scale of harm.
In the case of cocaine I would argue that it can't be separated from alcohol. I don't know any cocaine user that doesn't consume it with alcohol, and most do it for the sole purpose of drinking more alcohol. There's a feedback loop where users get very drunk, take a line to feel better and energized, then drink a shit ton again, only to top it off with cocaine, rinse & repeat.
DAO deficiency can be a consequence of Copper deficiency, as DAO is a Copper enzyme.
Copper deficiency used to be considered rare, but give the rise in popularity of Zinc which prevents Copper and absorption and depletes Copper stores, it has bevone more common.
Interesting, but this approach is still about scaling in size.
There are other more promising approaches that actually allow to reduce size of the network and have better performance: Closed-form continuous-time neural networks [1], or also known as liquid neural network.
They have been proved better in navigation (cars and even drones), with as little as 15 neurons in the network. The smaller scale not only makes it highly efficient, but also allows to better understand what the network is doing due to lower complexity.
For gray hair specifically, zinc might do more harm than good: low Copper levels are associated with gray hair and Zinc reduces Copper absorption to the point that it can make you Copper deficient.
Copper increases melanin and collagen production in the body.
This is bs.
I work in Paid Media (Ads). Focused View on TikTok means user has watched at least 6s, or interact with the Ad. This is TikTok's version of YouTube TrueView, which counts a View as watching 30s or interacting with the Ad.
The part about "emotions" is how the advertiser is supposed to generated more focused views: by creating ads that are emotionally appealing, the users chooses to watch longer, not TikTok.