Thanks! I decided on it because I think people are fed up with subscription systems and it was easy to implement. However, I made two sales (yay! first time ever) but I paid $20 today to DeepL. I might change it in the future.
You can learn basic conversation without reading, but it only gets you so far. Japanese has tons of similar-sounding words, and without kanji, it's hard to build a deep vocabulary or follow meaningful conversations. Reading reinforces understanding—and kanji actually makes it easier to remember words once you get used to it.
Stupid question: why is important to read in order to be able to speak? Are there no illiterate people who can speak? Is Japanese something special, like dunno you modulate your lips in the way the character is traced or something? Or you just meant reading language books which are all written in hiragana... I'm just confused, sorry.
Students with a goal to be able to speak and listen to Japanese should still learn hiragana, even if they have zero goals or need for reading. Understanding the building blocks that map out each "sound" in Japanese is not only beneficial but, in my experience, necessary if one wants their Japanese to "sound" Japanese enough for clear communications with native speakers. Yes, a learner could do without it, but a few weeks of study (ymmv) to grasp Hiragana is totally worth it.
They're referring to hiragana being highly phonetic, where each letter is a fully formed sound so practicing them can give a solid base for pronunciation.
Personally I think there might be some correlation vs causation on hiragana vs pronunciation, many people with poor pronunciation just have a mostly-English speaking social circle, and as such likely also don't feel a need to study hiragana. I feel just listening to Japanese can help get your brain used to the sounds and on the flip side my first recommendation to Japanese to get better at English conversation is to watch lots of US TV, hearing words over and over from many voices eventually adds up to a nice base for sounds. Still need to study for vocab though.
I've been working on a unique project that merges the domains of generative art, pixel art, and LEGO construction, and I'm thrilled to finally share it with you. The project involves using the PICO-8 engine to generate random, abstract designs, which are then transformed into tangible LEGO constructions.
Each LEGO art piece is a translation of a digital pattern into a physical form, showcasing the fascinating possibilities in this intersection of generative and LEGO art.
You can delve into the full details of the project, including the algorithm used for generating the designs and the process of building the LEGO art, in my blog post: [Link to the article]
Any feedback or suggestions for future projects are greatly appreciated!
I personally found utilitarianism and kantianism very helpful schools of philosophy to think about the implication of AI. In short, Utilitarianism promotes decisions that benefits the greatest number of people. Whereas, kantianism focuses on the idea that people should be always treated with dignity and respect. Michael Sandel's book "Justice" is a great introduction to the topic.
[1] https://www.amazon.com/Justice-Whats-Right-Thing-Do/dp/03745...
Yeah, but that won't be the same Alpinist. Especially given the Prospex logo, which is a bit weird because my impression of the Prospex line is that it is mostly a diver's line, whereas the Alpinist is supposed to be a climber's/mountaineer's watch.
After 4S15 was discontinued, Alpinists based on 6R15 have been produced for many years, but they are nowhere as sought after as the 4S15 version.
It's not really a new movement, just an improved version of the same old...
...but for a much higher price.
I really don't appreciate how Seiko is upselling certain segments of their products. I feel the customers are being milked without getting the once excellent value in return anymore.
There were several top contenders that did ensemble. We went with a single model (also in top few) for reasons of integration cost. I Don't actually remember which placed first for the competition.
Are these the funny numbers that use intel's massive profits multiplied by a moore's law value adjustment factor to hide the decline of everything else?
Date: Norman? This is Mr. Eddie Vedder, from accounting. I just had a power surge here at home that wiped out a file I was working on. Listen, I'm in big trouble, do you know anything about computers?
Norm: Uhhmmm... uh gee, uh...
Dade: Right, well my BLT drive on my computer just went AWOL, and I've got this big project due tomorrow for Mr. Kawasaki, and if I don't get it in, he's gonna ask me to commit Hari Kari...
Dade proceeds to get Norm to read him the number off of a modem at the TV station
This is because the payoff depends on the accurate prediction of an outcome of an event. Therefore, people will put in more effort to come to the most accurate conclusion.
As a larger number of people do more market research to come to the most likely conclusion, the predicted outcome will lean more favorable to one side.
If you place a bet on a coin flip, the outcome will always be 50% heads, 50% tails. There are no external market conditions that will influence the outcome. Luck plays a major role, and this is called gambling.
But prediction markets rely on the collective wisdom held by a group of people on the probability of a future event materializing."
Can you show that predictions are true rather than just being perturbations. To me it looks like trading drives markets to respond (beyond large obvious fundamentals changes), rather than providing usable predictions.
Moreover, assume they are predictive, do they target funds to where society needs them.
Finally if people are good at prediction, using algorithms for example, then those algorithms provide the required prediction and we should use those to target resources and retain wealth in the market rather than giving out 40% of the wealth (UK) just to get some predictive power.
I think the value added by the market is vastly over-stated in the present model.
>>To me it looks like trading drives markets to respond
Respond to what? The markets are about events that have not happened. The payout is directly proportional to the predictive power of the market purchase.
>>Finally if people are good at prediction, using algorithms for example, then those algorithms provide the required prediction and we should use those to target resources and retain wealth in the market rather than giving out 40% of the wealth (UK)
How do we incentivize people to generate these predictive methods, let alone release them for public use, without a compensatory scheme like a prediction market?
I launched a Japanese Kanji Learning App (KanjiMaster.ai) last month, and I chose a subscription instead of a one-time payment.