I can't replace note taking with Anki – it's too slow, and for many things a poor use of my long-term memory.

Instead of getting out Anki, I will quickly make a mental (or paper) note of what I want to Ankify. I then enter it into Anki later. This requires some discipline; it's one reason I prefer to set a small quota, so that I merely have to enter a few questions later, rather than dozens.

The world isn't divided up into neatly separated components, and I believe it's good to collide very different types of questions. One moment Anki is asking me a question about the temperature chicken should be cooked to. The next: a question about the JavaScript API. Is this mixing doing me any real good? I'm not sure.

This entire process took a few days of my time, spread over a few weeks. That's a lot of work.

and over the years I made multiple attempts to use it, each time quickly giving up.

Anki in all parts of my life

To disentangle the various measures used in different studies, we distinguish three main measures: network activation, network intra-connectivity, and network interconnectivity.

precuneus

Here, the primary regions that are focused are the posterior cingulate cortex (PCC), precuneus (PCu), and medial prefrontal cortex (mPFC) for the DMN; dorsal lateral prefrontal cortex (dlPFC) for the CEN; and the anterior cingulate cortex (ACC) and insula for the SN.

Each region in the brain has a unique spatial distribution of functional connectivity. Some regions have functional connectivity that is highly similar. We have referred to those regions as a “system” or “network.” A system in the presently used sense means a set of widely distributed brain regions that exhibit consistently correlated spontaneous activity fluctuations and characteristically respond in concert during conventional, task-related fMRI experiments.

parietal lobule one of two divisions, inferior and superior, of the parietal lobe of the brain.

When we stub-bornly continue to mean by taste a mode of attention that cuts acrossthe classification of receptors we are only recognizing the fact that re-ceptors may be functionally united when anatomically separated. Infact, the word palate, although used in anatomy to mean the back of themouth, is used in gastronomy to mean the whole complex of receptorscontributing to palatability, that is, an organ of perception.

The organs of sensitivity, like other organs of the body, exist in a hier-archy of organization. Lower organs are subordinated to higher. Smallerstructures serve larger structures, and they overlap. The eyeball is "all ofa piece," but it is an unusual sense organ. The ear, the functional auditoryorgan, is not a single piece of tissue, and the organ of touch is dispersedover the whole body. The receptive and the adjustive parts of an organneed not be in the same place. The olfactory organ that we call the nose,that is, the functional nose, has its receptive part deep in the facial bonesbut its motor part in the chest muscles for breathing and sniffing. Thereceptive and the adjustive part can only be understood in relation to oneanother.

• ORGANS. An organ of sensitivity is a structure containing many energyreceptors and many receptive units that can adjust so as to modify theinput from cells and units. An organ must therefore have muscles, andthey must be supplied with efferent fibers from the central nervous system.:rhe afferent and efferent fibers, incoming and outgoing, may be gatheredin a single bundle, a nerve, like the nerve from each eye, or they may bedistributed in many bundles, like the fibers from the skin. The so-calledsensorynerves are anatomical expedients; there is not a specific nerve foreach sense despite a popular idea to the contrary.

note that the ‘cinguloopercular’ network is also sometimes referred to as the ‘cingulo-insular’ network (Sadaghiani, et al., 2010)

Chesterton's fence (uncountable) (public policy) The principle that reforms should not be made until the reasoning behind the existing state of affairs is understood.

Error opening file for writing: mpv.exe Anki Desktop

2055492159

Spreadsheet Import Plus

AwesomeTTS

AwesomeTTS

There is an add on called "Spaced Repetition" that you may find useful. It can do both flashcards and full notes.

Statistical heterogeneity is the term given to differences in the effects of interventions and comesabout because of clinical and/or methodological differences between studies (ie it is a consequenceof clinical and/or methodological heterogeneity). Although some variation in the effects ofinterventions between studies will always exist, whether this variation is greater than what isexpected by chance alone needs to be determined.

Scaffolding is the act of providing learners with assistance or support to perform a taskbeyond their own reach if pursued independently when “unassisted.”

Schemas are chunks of multiple individual units of memory that are linked into a system ofunderstanding

Learning is defined to be “storage of automated schema in long-term memory.

What Is a Blockchain Oracle? A blockchain oracle is a secure piece of middleware that facilitates communication between blockchains and any off-chain system, including data providers, web APIs, enterprise backends, cloud providers, IoT devices, e-signatures, payment systems, other blockchains, and more. Oracles take on several key functions: Listen – monitor the blockchain network to check for any incoming user or smart contract requests for off-chain data. Extract – fetch data from one or multiple external systems such as off-chain APIs hosted on third-party web servers. Format – format data retrieved from external APIs into a blockchain readable format (input) and/or making blockchain data compatible with an external API (output). Validate – generate a cryptographic proof attesting to the performance of an oracle service using any combination of data signing, blockchain transaction signing, TLS signatures, Trusted Execution Environment (TEE) attestations, or zero-knowledge proofs. Compute – perform some type of secure off-chain computation for the smart contract, such as calculating a median from multiple oracle submissions or generating a verifiable random number for a gaming application. Broadcast – sign and broadcast a transaction on the blockchain in order to send data and any corresponding proof on-chain for consumption by the smart contract. Output (optional) –  send data to an external system upon the execution of a smart contract, such as relaying payment instructions to a traditional payment network or triggering actions from a cyber-physical system.

Zettelkasten as a product?! .t3_xsoaya._2FCtq-QzlfuN-SwVMUZMM3 { --postTitle-VisitedLinkColor: #9b9b9b; --postTitleLink-VisitedLinkColor: #9b9b9b; --postBodyLink-VisitedLinkColor: #989898; }

I realize that having the same FE/BE on all platforms is the fabled cross-platform panacea. But I’ve yet to see this work well in practice for any app of significant complexity. Quite a few major development teams that were early adopters of ideas like this have since abandoned that approach e.g. AirBnB with React Native, or DropBox with their custom C++ core. As it turns out, while you do write less platform-specific code, you still have to deal with platform-specific bugs and performance issues (not too dissimilar from Qt, just the with additional headaches of mobile platforms). So creating one “universal” code base ends up being almost as much work as working with each platform’s native technologies.

new technologies leveraging techniques like spaced repetition mean it's much easier to remember what you learn

在我逐渐掌握anki中一个个小的知识点时，结构却自然而然地在脑中浮现了。我选择这时梳理框架，果然受益匪浅，对学到的内容有了更深的认识。

Obsidian 里有个叫 Flashcards 的插件，完美解决了这个问题。可能最开始的安装和设置需要一点时间，不过插件的作者给出的流程非常地清晰，即便是第一次使用也能很快安装好。Flashcard 作者给出的安装流程安装好后，在需要导入 Anki 的内容后添加一个 #flashcard 的标签，然后点击侧面的 Generate flashcards 按钮，当前文档中所有加了标签的内容就被一键导入到了 Anki 中。这使得， 制作一张（或数张）卡片的操作成本大约只是一次鼠标点击。从 Obsidian 到 Anki现在市面上的双链笔记软件非常多，我选择 Obsidian 很大程度上就是因为它可以 Anki 无缝互联。而且二者都支持 LaTeX，理科中的公式也可以非常方便地记录。在使用过程中我最喜欢的一点就是，Obsidian 中的双链接在 Anki 中也可以打开。复习到相关概念时，只要点一下双链接，就可以从 Anki 跳回 Obsidian。从 Anki 到 Obsidian上面的操作在手机上也可以别无二致地实现。于是，学习就变成了，用大块的时间去拆解那些复杂的东西，把知识点都变成小卡片；用碎片的时间去刷卡片，随时随地完成知识的内化。那么到这里，Obsidian 的操作就说完了。小结一下，为了保持纯粹，我只用它来做如下操作：第二层 - 拆解 & 构造：MOC（Map of Content）第三层 - 原子化：Evergreen Notes第四层 - 关联 & 内化：Anki 卡片

Anki makes memory a choice

But it's worth cultivating taste in what to memorize

The result is that a card’s ease factor adjusts to whatever range of ease (or laziness) causes you to mark the card as Good. Unless you’re a very disciplined and consistent person, this range is likely to be pretty wide, and the boundaries are likely to move drastically with your mood.

With this equation, it won’t matter whether you choose Easy, Good, or Hard. The success rate over time will tell us whether the ease factor is too easy (over 85% success), or too hard (under 85% success). We don’t have to think about it anymore. We can just select between Again and Good; a simple binary choice between getting a card right and getting it wrong.

I said above that I typically spend 10 to 60 minutes Ankifying a paper, with the duration depending on my judgment of the value I'm getting from the paper. However, if I'm learning a great deal, and finding it interesting, I keep reading and Ankifying. Really good resources are worth investing time in.

First, if memorizing a fact seems worth 10 minutes of my time in the future, then I do it** I first saw an analysis along these lines in Gwern Branwen's review of spaced repetition: Gwern Branwen, Spaced-Repetition. His numbers are slightly more optimistic than mine – he arrives at a 5-minute rule of thumb, rather than 10 minutes – but broadly consistent. Branwen's analysis is based, in turn, on an analysis in: Piotr Wozniak, Theoretical aspects of spaced repetition in learning.. Second, and superseding the first, if a fact seems striking then into Anki it goes, regardless of whether it seems worth 10 minutes of my future time or not.

Here again are the twenty rules of formulating knowledge.

Somewhere between too hard and too easy, there’s a sweet-spot where reviews are challenging enough to hold your interest, but not so hard that it feels like torture. When the challenge of reviews is just right, you’ll actually get a sense of accomplishment and a little jolt of dopamine as you do them. Our brains actually enjoy challenges as long as they aren’t too hard or too easy. As I see it, this level of challenge is where you want to be.

Researchers have found that reviews are more effective when they’re difficult. That is, if you have to work at remembering a card, it’ll have a stronger effect on your memory. The harder a review is, the more it boosts your memory. This is called “desirable difficulty” in the literature.

A: Read an article from start to finish. ONLY THEN do you import parts into Anki for remembering B: Incremental Reading: interleaving between reading and remembering

“I think SM is only good for a small minority of learners. But they will probably value it very much.”

In Anki, you are only doing the remembering part. You are not reading anything new in Anki

Using either SRS has already given you a huge edge over not using any SRS: No SRS: 70 hours Anki: 10 hours SuperMemo: 6 hours The difference between using any SRS (whether it’s Anki or SM) and not using is huge, but the difference between Anki or SM is not

“Anki is a tool and SuperMemo is a lifestyle.”

The Cornell Note-taking System

And for the last three years, I've added EVERYTHING to Anki. Bash aliases, IDE Shortcuts, programming APIs, documentation, design patterns, etc. Having done that, I wouldn't recommend adding EVERYTHING

Habit: Whenever I search StackOverflow, I'll immediately create a flashcard of my question and the answer(s) into Anki.

The confidence of knowing that once something is added to Anki it won't be forgotten is intoxicating

Kyle had a super hero ability. Photographic memory in API syntax and documentation. I wanted that and I was jealous. My career was stuck and something needed to change. And so I began a dedicated journey into spaced repetition. Every day for three years, I spent one to three hours in spaced repetition

Short feedback loops