Bottom up would roughly be
1. Picking a simple introduction to programming textbook ideally Python
2. Work through a building a transformer LLM in python
3. Move to training it on a corpus
You're not mastering each step. Reading the python book and doing some exercises is fine.
Similar reports have been ongoing about Metformin (another medication used for diabetes that causes weight loss and improves metabolic profile).
It's the simplest explanation that we have been underestimating just how unhealthy we are?
There's a synergy here, eat healthier, reduce blood sugar spikes, lose weight. And you are healthier than each individual effect alone would cause.
Maybe we're just ruining our bodies even if we don't put on weight by eating sugary foods that spoke our blood sugar. Or big meals that constantly make us switch into sit down and digest mode.
I'm open to something more happening but this isn't just GLPs. It seems we have uniquely attacked our bodies in a way that diabetes is the ultimate result but the entire journey is exquisitely toxic to our physiology.
Maybe fasting helps. Maybe keto helps. But this is similar to people who live off McDonalds suddenly go vegan and become healthy, is veganism that great? Or was the alternative for you just so awful for you?
I'm not a doctor, this isn't medical advice, I'm just bullshitting on the Internet. I know this is a controversial topic and the science doesn't appear to be settled.
My understanding about how artificial sweeteners work in part is that they don't have a caloric impact but still cause an insulin response. I've avoided them as best as I can. Some people believe there's a free ride to be had with them - drink Diet Coke and nothing happens, but I'm not so sure that's the case.
If a sugary drink causes an insulin response, and perhaps that response is different of course, but if it causes an insulin response, and so do "sugar-free" drinks - we seem to be in a world where a large number of people are still dealing with issues related to sugar that they maybe aren't expecting. I just have a hard time believe there's a free ride with "sugar-free" drinks. This response probably leads to more cravings for so-called empty calories. A lot of people I find viscously defend "sugar-free" drinks which leads me to suspect there's something there too.
If you grow up with an awful diet, like I did, not centered around so-called whole foods and actual cooking I think you wind up in a vicious cycle of sugar, sugar substitutes, and other empty-calorie style foods that all feed the same biological addiction mechanism. You get fatter and fatter and no amount of exercise will work (you can't outrun a bad diet) and then add in our modern lifestyle and of course we're all pretty dang sick.
Interestingly seeing, or smelling foods can cause insulin release[0]. Perhaps it's not surprising that tasting foods would.
But it does make me wonder. If evolution was so concerned about blood sugar control it led to insulin release even before you ate (and that in evolutionary terms foods were very low in sugar and simple carbs). What must a doughnut do to our physiology?
That article seems a bit misleading. While some sweetener packets, such as equal and splenda contain some sugar, I don't believe this is necessarily true when they are used in other products. A quick google implies that, for example, Diet Coke (my beloved) does not contain any real sugar, only aspartame. So it seems disingenuous to compare the metabolic impact of a sugar/aspartame blend to pure aspartame.
Positive Publicity. Valve does many things that are received poorly (e.g. cancelling counterstrike fan projects, intransparent lootbox gambling, etc.), but they are doing enough good things that such things are quickly forgotten.
That is, I believe, one the points of AI and Open Source many contacts. Something like TCC, with a good coding agent and a developer that cares about the project, and knows enough about it, can turn into a project that can be maintained without the otherwise large efforts needed, that resulted into the project being abandoned. I'm resurrecting many projects of mine I had no longer the time to handle, like dump1090, linenoise, ...
I don't think it is not maintained, there is plenty of activity going on in the repo: https://repo.or.cz/tinycc.git, they just don't seem to be cutting releases?
Bottom up and top down.
Bottom up would roughly be 1. Picking a simple introduction to programming textbook ideally Python 2. Work through a building a transformer LLM in python 3. Move to training it on a corpus
You're not mastering each step. Reading the python book and doing some exercises is fine.
The top down: This 3Blue1Brown playlist will have you covered https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_...
Either way you want to meet in the middle. There is still a lot in the middle that isn't clear so don't try and work from the middle out!
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