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I can't see all topics when logged in

https://lemmy.world/post/42939543

I can't see all topics when logged in - Lemmy.World

Today, my account only shows the following for this community: https://lemmy.world/c/leopardsatemyface [https://lemmy.world/c/leopardsatemyface] [https://lemmy.world/pictrs/image/39a7a5d7-e349-410a-9310-9942d4bfb550.png] ------- If I enter “Private Mode”, or if I log out, I can actually see far more stuff. [https://lemmy.world/pictrs/image/40776aa7-2356-4275-a9e9-1b686b7879fa.png] Is there any account setting that might have caused this problem?

YSK: Anki (especially in FSRS mode) is an incredible learning tool if applied correctly

https://lemmy.world/post/39170712

YSK: Anki (especially in FSRS mode) is an incredible learning tool if applied correctly - Lemmy.World

Anki is an open-source flashcard app for Windows, Linux, Mac OSX with versions also available for Android and iOS. Unfortunately, iOS version costs $25, but all other versions are free. Anki is a self-graded flashcard program / app. This makes it a combination quiz-app + timer system. Unlike Duolingo or other programs, Anki entirely relies upon self-grading, but this is more than sufficient for study. Anki grabs the top cards from a deck (defaulting to 20 new cards per day. Feel free to customize this to whatever fits your needs best). Then each day, it grabs “scheduled review” cards + shuffles in the new cards, and shows you them one at a time. Once a card is shown to you, you the user click a button to reveal the other side. [https://lemmy.world/pictrs/image/03d3ec58-d274-47f4-8dce-5faf93ac932e.png] After the flip, Anki asks you to self-grade yourself on your performance. “Again” means you grade yourself as “incorrect”, and Anki will remember this mistake. Because you were “incorrect” on this card, Anki will show you the card again very soon. [https://lemmy.world/pictrs/image/4bcf3470-2a27-4c20-baf0-3d44a4eea7eb.png] If you choose one of the three “correct” scores (labeled “Hard”, “Good” and “Easy”), Anki remembers that you’ve answered correctly, and will schedule the card some time in the future. I’ll get to the difference of the three scores later, but consider all three to just be “correct” for now. The precise time is calculated based on how well Anki thinks you know the card. If you know the card well, “Good” might schedule the card to be reviewed 2 months from now, but if you’ve made a lot of mistakes with a particular card, then that card will likely be reviewed 1 or 2 days from now. As such, Anki is a system of spaced repetition. The “better” you are with some cards, the less you see them. The “worse” you are with other cards, the more Anki shows you those particular cards you keep making mistakes with. Timer + self-grading == you only see the cards you’re doing bad with, while Anki hides the cards you are doing good with. The Algorithm --------------- FSRS is a new experimental algorithm Anki is using. There’s been 6 versions (FSRS-1, -2, -3,… and of course FSRS 6 today). Fortunately, the overall gist has been the same for all 6 versions. Alas, its a lot of blogposts and technical math that’s far too nerdy for most people https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm [https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm]. For the math nerds who want to learn the algorithm, study away. But I’ll attempt to do a simpler “translation” FSRS is simply three pieces of memory being applied to each and every “card” in your Anki decks. Every single card will try to figure out “R”, “S” and “D”. R is the probability that you’ve forgotten a card each day. The longer a card goes without being shown, the worse-and-worse “R” gets (this is the value Anki uses to determine when to repeat a card to you, it wants to show you a card before you’ve forgotten, but after enough time that you had a chance to forget, defaulting to 10% chance of forgetting). [https://lemmy.world/pictrs/image/7c474897-d4bd-4d1e-91f6-eef96a7b154b.png] Every single card tracked by Anki has this “forgetting” curve, primarily defined by the “R” aka Retention variable. The theory is: if you show a card too often, you never really test your long-term memory. Furthermore, its too much extra work to review so many cards. By waiting days, weeks, or months before showing you a card again, Anki saves you time by not overly-reviewing cards you already know the information of. Furthermore, studies have shown that showing you information “right as you are forgetting about it” is the best way to remember (!!!). Any sooner, and you really aren’t learning too well, but instead just temporarily holding things in your short-term or medium-term memory. “S” stands for Stability. The more “stable” a card is, the longer Anki-FSRS thinks it can stay in your memory memory without review. Most “new” cards are assumed to be forgotten about within a day by default. However, as you get the card “correct” over-and-over again, Anki-FSRS will increase stability, thereby causing the longer review intervals. (Maybe showing you a card once every 3 days, then 7 days, then 1.5 months, then 3 months…). [https://lemmy.world/pictrs/image/5cbe4ac8-1a4c-4f88-a3b7-e9f69066ea6d.png] “D” stands for Difficulty. The more times you get a card wrong (ie: when you click the “Again” button), the worse Difficulty gets. Anki-FSRS remembers that some cards are harder for you to remember… in particular the ones you keep getting wrong. Even if you get a high-difficulty card correct multiple times, Anki “remembers” that you have been forgetting this card, and will show it to you again sooner. Ex: by default Anki will mature a card within 7x correct answers in a row. However, if a card is “difficult”, Anki will keep showing you that card 10x, 15x or more, knowing that you need the extra practice. Or in more math-nerd terms, “Difficulty” is the derivative of stability. The change-of-stability is determined by the “Difficulty” of a card. Hard / Good / Easy ------------- Hard / Good / Easy all count as correct (ie: increases the stability of Anki-FSRS), but will do different things to your Difficulty score. “Good” is the default, and Anki recommends that users hit the “Good” button 80%+ of the time. Lets pretend that a particular “Good” answer will result in 1-month timer for a particular card… “Easy” basically is telling Anki that you don’t want to practice with this card anymore (ie: low-difficulty card). After clicking “Easy”, instead of taking a 1-month timer… Anki will likely choose a 1.5-month or 2-month timer on the card. “Hard” is telling Anki that you want extra practice with this card. It increases difficulty, despite increasing stability. You’ll see this card again more-and-more in the future. Instead of 1-month timer, Anki might show you the card again within 2-weeks. Where Anki fits in language learning --------------- Anki was originally developed to help its original programmer learn Japanese. Its not an end-all be-all app however. Anki is only a piece of any language-learner. You must also buy grammar / theory books, as well as write regularly in the new language… speaking and listening and more. Nonetheless, “Anki” is your cudgel. A brute-force method to try to force vocabulary words into your brain through raw force. You’ll likely never gain mastery of the words through Anki… but you can at least become a beginner and learn how to start reading. There’s literally thousands, if not tens-of-thousands of words you must learn to become proficient in a language. And that’s spelling, grammar usage (gender / der/das/die in German, or maybe conjugation rules and pluralization rules), definitions and more!! In all cases, Anki can be used as a way to force this information into your brain, getting it ready so that those words can “begin to be learned” when you watch TV, listen to a foreign language podcast or hear those words in a song. Yes, Anki isn’t enough. But Anki is a great tool to get you started. And getting started is sometimes the hardest step for many people.

I wrote a guide to Dungeons4

https://lemmy.world/post/36670889

I wrote a guide to Dungeons4 - Lemmy.World

https://steamcommunity.com/app/1643310/discussions/1/594035508989101311/ [https://steamcommunity.com/app/1643310/discussions/1/594035508989101311/] Dungeons4 is a fun RTS/Tower-Defense that took up a few of the last months of entertainment. Its a very “dad-joke” level of low-hanging fruit and pop-culture references, but comedy is often the right way to handle “Evil” plots. The overall game is to build up an army, head out to the “Overworld” and collect “Evil” by killing Heroes, slaughtering villagers, destroying villages and towns. As your “Evil” gets collected, you can spend “Evil” on the Tech Tree to get more powerful units, upgrades, new buildings, new economic options and… eventually win the map’s objectives. Typical maps take me ~1 hour, though a speedrunner probably can complete maps within 20 minutes, while slower defensive players might take longer. With ~20 maps, you should have well over 20+ hours of gameplay, and then 10 “Skirmish” maps, and multiple (paid) DLC, its a well fleshed out game. The one downside is a weak set of tutorial levels, and poor documentation/help. There’s also very little discussion / guides. So I figure publishing this Steam guide will help any would-be players enter this game. My guide is rather detailed strategy focused on the hardest of difficulty levels. But this advice likely will help any player on normal mode (which is plenty hard enough your first time through!).

Datastructure for intervals across 64-bits or 128-bits??

https://lemmy.world/post/27759427

Datastructure for intervals across 64-bits or 128-bits?? - Lemmy.World

I’m doing some Galois Field / Cyclic Redundancy Check research for fun and I’ve come across an intriguing pattern that I need a data structure for. Across the 64-bit (or even 128-bit or larger) spaces, I’ve discovered an interesting pattern relating to hamming distances that I’d like a data structure to represent. I’m going to need something on the order of ~billions of intervals each having somewhere between 1 item to ~1 billion per interval. And I’d like to quickly (O(1) or O(lg(n))) determine if other intervals intersect. ------ For 32-bit space I can simply make a 512MB Bitmask lol and then AND/OR the two Bitmask. Easy But for 64-bit space I’m stuck and a bit ignorant to various data structures. I’m wondering if someone out there has a good data structure for me to use? I’ve read over Interval Trees on Wikipedia. I’m also considering binary decision diagram over the 64-bits actually. Finally I’m thinking of some kind of 1-dimension octtree like datastructure (is that just a binary tree?? Lol. But BVH trees in 3d space seems similar to my problem it’s just I need it optimized down to 1 dimension rather than 3.) Anyone else have any other ideas or cool data structures that might work?

Meta: Soft Migration to [email protected]? - Lemmy.World

I’ve been informed of an attempt to consolidate all the Tesla communities into [email protected] (for Lemmy.world users, you can still access it here: https://lemmy.world/c/[email protected] [/c/[email protected]] [https://lemmy.world/c/[email protected]]). I’m interested in hearing the community’s thoughts on this. Consolidation is the name-of-the-game right now in Lemmy, we just aren’t big enough to have critical mass especially as tons of different communities are split off like this. /r/RealTesla from Reddit was necessary in the 2010s where Elon Musk was running popular and it was impossible to get a critical word in about bad Tesla service, the lies from Tesla’s sales about their fuel gauges or even have awareness of how explosive Li-ion batteries are. Today, its becoming clear that Tesla Lies (led by Elon Musk) is the norm. And we can see that today a “general Lemmy” community about Tesla that its possible to be critical about Tesla even on a Tesla-focused community. ---------- That being said: I’m not for closing down /c/RealTesla. We need a “signpost” for the /r/RealTesla Redditors who are beginning to branch off to Lemmy. But I’m considering leaving a signpost to [email protected], especially since they’re more active at the moment about Tesla news. I’ll try to keep this community here active as a lifeboat for lost Redditors however. What does everyone else think?

Protesters rally against Elon Musk outside Rockville Tesla dealership

Dozens protested against the Trump administration Saturday outside the Rockville Tesla dealership. FOX 5's Shomari Stone has the story.

FOX 5 DC

Tesla Protests Topic (March 1st, 2025)

https://lemmy.world/post/26245019

Tesla Protests Topic (March 1st, 2025) - Lemmy.World

* NYC Lower Manhattan: https://www.reddit.com/r/MicromobilityNYC/ [https://www.reddit.com/r/MicromobilityNYC/] * Tucson Arizona: https://bsky.app/profile/thetnholler.bsky.social/post/3lje4s23tkk2y [https://bsky.app/profile/thetnholler.bsky.social/post/3lje4s23tkk2y] * https://apnews.com/article/elon-musk-tesla-protests-doge-3b3eba9313074ccf8e959a92486d900f [https://apnews.com/article/elon-musk-tesla-protests-doge-3b3eba9313074ccf8e959a92486d900f] Just a few protests of note happening around the country. I know there’s more but these are the instances I was aware of.

Tesla Takedown protest website

https://lemmy.world/post/26100986

Tesla Takedown protest website - Lemmy.World

Tesla protests are beginning to get more organized.

Prius Prime 2024 Followup: More Tests

https://lemmy.world/post/24780708

Prius Prime 2024 Followup: More Tests - Lemmy.World

cross-posted from: https://lemmy.world/post/24780658 [https://lemmy.world/post/24780658] > https://lemmy.world/post/22892985 [https://lemmy.world/post/22892985] > > /c/technology was the most active by far (more so than /c/cars), so I’ll post here again first. > > Stats > ========= > > The following stats are winter tests (10F to 30F. Or -10C to 0C). > > * L1 Charger from Home is 2.05 mi/kwhr (12.0 mi/electric-$$. 17.1c per kwhr home costs) in this deep cold. > > * L2 Charger from Work is 2.8mi/kwhr (14.0 mi/electric-$$. 20c per kwhr work-charging costs). > > * 43 Miles per Gallon gasoline (13.9 mi/gasoline-$. $3.10 gasoline during test). > > * L1 Charger is closer to 2.8 mi/kwhr during 60F (15C+ temperatures). > > * L2 Charger is closer to 3.5 mi/kwhr during 60F (15C+ temperatures). > > Conclusion: The cold (10F to 30F) has made the Li-ion batteries of this car SIGNIFICANTLY less efficient. We’re at the point where L1 chargers are more expensive than gasoline, while L2 chargers are roughly on part with gasoline. > > I recommend anyone who gets an EV to get an L2 charger. Not only for the convenience of far faster charges, but also because of the incredible improvements to cold-weather charging efficiency. > > --------- > > There were some pro-EV fans asking me to more carefully test the gasoline usage in the winter. And now you have the stats. I can solidly say that gasoline is worse during the Winter (down from EPA estimated 48), but not dramatically worse like the electric engine gets. > > The above gasoline test was done over an entire week of driving to reach the 200+ miles I thought was needed for a solid test. I performed it by running out of electricity (all the way down to 0%), then driving to a gasoline station and filling up. I memorized the exact pump I filled up at. > > Then, after 200 miles across a week, I came back to the same pump and filled up exactly the same. I then counted the gallons that came out of the pump and divided out based on my trip odometer. I was 203.5 miles of driving total with 4.734 gallons reported from the pump.

Prius Prime 2024 Followup: More Tests

https://lemmy.world/post/24780658

Prius Prime 2024 Followup: More Tests - Lemmy.World

https://lemmy.world/post/22892985 [https://lemmy.world/post/22892985] /c/technology was the most active by far (more so than /c/cars), so I’ll post here again first. Stats ========= The following stats are winter tests (10F to 30F. Or -10C to 0C). * L1 Charger from Home is 2.05 mi/kwhr (12.0 mi/electric-$$. 17.1c per kwhr home costs) in this deep cold. * L2 Charger from Work is 2.8mi/kwhr (14.0 mi/electric-$$. 20c per kwhr work-charging costs). * 43 Miles per Gallon gasoline (13.9 mi/gasoline-$. $3.10 gasoline during test). * L1 Charger is closer to 2.8 mi/kwhr during 60F (15C+ temperatures). * L2 Charger is closer to 3.5 mi/kwhr during 60F (15C+ temperatures). Conclusion: The cold (10F to 30F) has made the Li-ion batteries of this car SIGNIFICANTLY less efficient. We’re at the point where L1 chargers are more expensive than gasoline, while L2 chargers are roughly on part with gasoline. I recommend anyone who gets an EV to get an L2 charger. Not only for the convenience of far faster charges, but also because of the incredible improvements to cold-weather charging efficiency. --------- There were some pro-EV fans asking me to more carefully test the gasoline usage in the winter. And now you have the stats. I can solidly say that gasoline is worse during the Winter (down from EPA estimated 48), but not dramatically worse like the electric engine gets.