I think very cheap carabiners are extremely fragile especially for repeated use. I saw a failing mode where the mobile axis just opens in the wrong way by going around the stator. Keep that in kind when choosing which carabiner to use.
Might be better to keep using ring keyholders but have one decently strong carabineer to hold the rings together instead of what you did : tiny carabiners that hols onto a ring no?
I don’t really like any of those ideas. I think it’s really interesting that aware is so related though. I think the best bet would be based on software. So something like deepsoftware, nextsoftware, nextgenerationsoftware, enhancedsoftware, etc.
For ayone trying to keep up with AI for film making, I recommend the youtube channel curious refuge https://www.youtube.com/channel/UClnFtyUEaxQOCd1s5NKYGFA
Also, velcro comes in many strength and sizes. I find heavy duty velcros to be frequently underused in such DIY projects
DIYPerks on youtube did just that: https://www.youtube.com/watch?v=J2aY6cvk-WI
Medical student here, I get that a lot it’s called interference at least in the supermemo sphere.
My personnal solution to this is to add more cards. For example “is friendA born before or after friendB?”, “what are the birthday of friendA and friendB?”.
The latter question is a crucial example actually. It makes you practice the recall of the distinction between the interference instead of the raw recall of each datum.
Also, as other suggested here, mnemonics help a ton: for example is there an intuitive reason you can link to friendB having an odd birthday and friendA having an even birthday? If so, add a third anki card to never forget the mnemonics.
You also might be interested in the 20 rules of formulating knowledge by supermemo.
One insight I had over the years on anki is that because of the algorithm, having more cards is not penalizing.
Also I created AnnA—Anki Neuronal Appendix to help spread reviews with semantic similarity if that helps.
Based on?
The wikipedia page explicitely states that they don’t have the same binding profile and also Ockham’s razor as it seems unlikely that two different drugs with two different binding profile perform similarly on ADHD.
“stronger per weight impact on dopamine”? That’s not how drugs or biology work. Every neurotransmitter and hormone has several different receptors that different drugs affect in different ways.
I’m aware. I know my sentence did not sound professional but it was on purpose. I think it’s true nonetheless : using a more specific sentence would involve naming specific receptors and I don’t want to check each of them (MPH, ETH, modafinil). Being specific here doesn’t really matter because I’m expressing surprise as to your apparent certainty. Your certainty indicates that you researched those specifics, hence what I was asking.
Regarding the study you linked, I don’t find anything relevant to ETH’s effectiveness compared to MPH on ADHD.
To clarify because I think I sound rash when really I’m not:
I’m surprised you seem to have low uncertainty on ETH being more effective than MPH on ADHD, even though ETH has never been studied on ADHD, never been compared to MPH, possibly never even been studied on humans (?).
It is certain that ETH and MPH don’t have the same binding profile. I would be extremely surprised if they didn’t have a difference in effectiveness in treating ADHD if compared in a head to head RCT. But I don’t really have an opinion on which would be better. You seem to do so I’m probably lacking information about some neurotransmitters and ADHD.
PS: actually I do think ETH would perform worse than MPH. But probably not by a large margin. ETH could also be more pleasurable but less tolerable. All of this with very low certainty.
Sure!
To me the only relevant passage seems to be this one:
Ethylphenidate is more selective to the dopamine transporter (DAT) than methylphenidate, having approximately the same efficacy as the parent compound,[6] but has significantly less activity on the norepinephrine transporter (NET).[8] Its dopaminergic pharmacodynamic profile is nearly identical to methylphenidate, and is primarily responsible for its euphoric and reinforcing effects.
You said:
methylphenidate is obligatory for some kids while ethylphenidate is illegal, and they’re basically the same but ethylphenidate is probably slightly better.
I disagree with “they’re basically the same”. I mean of course they are more similar together than compared to acetaminophen but I do think that they would probably be different in terms of effect on ADHD or hedonic perception if compared head to head.
I don’t see how ethylphenidate would be better. Is it “better in terms of how pleasurable it is”? As in recreationnal use. Because then there’s no point in comparing to methylphenidate beging given to kids. And if it’s in terms of how good it treats ADHD then I don’t know where it’s coming from. Is that because it has a stronger per weight impact on dopamine than on norepinephrin? IIRC modafinil has way more of an impact on dopamine than norepinephrine but helps poorly for ADHD.
I really must be missing something. Thank you for helping me out!
Also:
All available data on ethylphenidate’s pharmacodynamics are drawn from studies conducted on rodents.
For the curious, famous researcher David Nutt is working on alcohol replacements too. He’s part of Alcarelle, now called gaba labs and IIRC they bet on benzodiazepine derivatives.
for example, methylphenidate is obligatory for some kids while ethylphenidate is illegal, and they’re basically the same but ethylphenidate is probably slightly better.
This sounds surprising to me. Can you elaborate on the source and thought process leading you to this?
I use anki flashcard for everything
There’s a great youtuber called the thought emporium who did genetic engineering on himself. I highly recommend checking them out :
https://www.youtube.com/watch?v=J3FcbFqSoQY
And the 2year follow up: https://www.youtube.com/watch?v=aoczYXJeMY4
The tldr is he created a virus then ate it to make his digestive system have more of the gene that makes lactase as he was very intolerant. 2 years later the effects are starting to wear off as cells get replaced but it seems to have had a very high ROI
I bought a cheap watch : twatch 2020 that has wifi and a microphone. The goal is to have an easily accessible langchain agent connected to my localai.
I’m a bit stuck for now because of a driver in C while I know mostly python but I’m getting there.
You meant speech to text instead of text to speech. They just added the latter recently but we don’t know the model behind it afaik
Na. Although you can see patient having binge that you then understand were just one bigmac, indicating something closer to anorexia.
The suicide rate is about 2% per 10 year which is insanely high. Also it is not uncommon for people with bulemia to have (sometimes severe) deficiencies regardless of their weight.
To add some perspective : I suspect some people don’t really understand how large the caloric intake can be in boulemia. I routinely see patients eating upwards of 50 000 calories (even saw 100 000 a few times) per day when crisis occur. Things like eating several large peanut butter jars in a row etc
The only difference between encoder and decoder transformers is the attention mask. In an encoder, future tokens can attend to past tokens (acausal), while in a decoder, future tokens cannot attend to past tokens (causal attention). The term “decoder” is used because decoders can be used to generate text, while encoders cannot (since you can only run an encoder if you know the full input already).
This was very helpful to me. Thank you.
Hi,
I had a question the other day and figured I’ll post it here. Do we have any idea what would happen if we used the steering vector of the input itself?
For example : Take sentenceA, pass it through the LLM, store its embedding, take once again sentenceA, pass it through the LLM while adding the embedding.
As is, this would simply double the length of the hidden vector, but I’m wondering what would happen if we took played instead with the embedding say after the 5th token of sentenceA and add it at the 3rd token.
Similarly, would anything interesting happen with substraction? with adding a random orthogonal vector?
Thanks
My personnal solution to this is to mostly use Anki for everything and anything.
It helps not loose my momentum: if I see my cards about the beginning of the articles about transformers it increases my chance of finishing the article
It garuantees that I never get the dreaded
my knowledge is limited to a couple of related keywords ("self-attention", "encoder"/"decoder") with no real gears-level understanding of anything.feeling. Making it all the more easier to get back to reading.In fact I hate the number 2 feeling so much that it was a huge motivation to really master Anki. (1300 day streak or so with no sign of regret whatsoever)