DefineOutside

Fun fact - bedrock only saves chunks modified by the player because consoles are much more restrictive with save file size than PC. If the world gets too big, your save is effectively lost.

Java does save chunks after generation, likely due to world gen updates not seamlessly transitioning with older versions of the game and PCs not caring about save size.

You can genuinely feel just a few milliseconds of input latency with a mouse, it disconnects looking around with your physical actions. It's the same way you can feel the difference between low and high refresh rate monitors, even though you can't really count the frames themselves

I can't use Fable at work because all prompts are saved for "safety". I can't use Fable at home as the API pricing is much too expensive while codex is heavily subsidized with generous limits.

Who is using Fable?

I've played around GPT 5.6 sol high at both work and home.

At work, it was able to one shot a dashboard. Of course, my prompts are vague as I'm not exactly sure what I want yet, but it did a better job than I could do as a backend dev forced to work on frontend sometimes.

Usage is also great, it just feels so much more efficient than older models in terms of thinking and time. Cost is barely better though.

It can burn a million tokens in less than a minute, at least at launch where there's likely less load on the servers.

At home, it feels like I'm fighting the AI less while letting it refactor code. I'm glad that I left this 12,000 line vibe coded port of a hand written codebase to future models to refactor. It feels like the model has better judgement than old models that would destroy your codebase so long as it meant accomplishing your prompt.

I'm almost disappointed that it's this good.

i did send the email, anyways the map is available on abyssmc.org once again and is a 19 GB zip

abyssmc.org was my server and the website has season 1 and season 2 links online while the newer seasons died. I could also get you the earth map with about 100 years of cumulative playtime, the first two seasons maps had much less playtime

People have also tried to create merge requests into my plugin to reintroduce the issue into 2B2T.

https://github.com/GrimAnticheat/Grim/pull/1131

I've found that opencode and codex are the two subscriptions that still seem to subsize usage. Deepseek V4 has been the most powerful model in opencode IMO, I trust it with problems where I can validate the solution such as debugging an issue - but I only trust the proprietary GPT-5.5 and Claude Opus 4.7 models for writing code that matters.

It's still not uncommon for it to escape it's thinking block accidentally and be unable to end it's response, or for it to call the same tool repeatedly. I've watched it burn 50 million tokens in a loop before killing the chat.

They seem to be pushing users away from using OpenAI and Anthropic models. On March 16th, they released pricing changes to stop subsidizing the state of the art models for team/enterprise users on legacy pricing models.

GPT 5.4 and Claude Opus/Sonnet 4.5/4.6 are now billed at API rates for all users, even enterprise customers. Previously, they were subsidizing these models around a factor of 10x, billing per request and not per token. Composer 2 bills for $0.08 per request on the fast model, and $0.04 per request on the slower model - no matter the tokens used.

It seems like they are targeting Enterprise above all else, relying on a enterprises signing up a bunch of paying users that rarely touch Cursor to subsidize the power users using an excessive amount of Composer tokens. It's a fair strategy, as cursor seems to increase output by 20-30% so the price is well worth it for Enterprise customers.

I work at a large company that is contracted to build warehouses that automate the movement of goods with conveyors, retrieval systems, etc.

This is a key candidates to use AI as we have built hundreds of warehouses in the past. We have a standard product that spans over a hundred thousand lines of code to build upon. Still, we rely on copying code from previous projects if features have been implemented before. We have stopped investing in the product to migrate everything to microservices, for some reason, so this code copying is increasingly common as projects keep getting more complex.

Teams to implement warehouses are generally around eight developers. We are given a design spec to implement, which usually spans a few hundred pages.

AI has over doubled the speed at which I can write backend code. We've done the same task so many times before with previous warehouses, that we have a gold mine of patterns that AI can pick up on if we have a folder of previous projects that it can read. I also feel that the code I write is higher quality, though I have to think more about the design as previously I would realize something wouldn't work whilst writing the code. At GWT though, it's hopeless as there's almost no public GWT projects to train an AI on. It's also very helpful in tracing logs and debugging.

We use Cursor. I was able to use $1,300 tokens worth of Claude Opus 4.6 for a cost of $100 to the company. Sadly, Cursor discontinued it's legacy pricing model due to it being unsustainable, so only the non-frontier models are priced low enough to consistently use. I'm not sure what I'm going to do when this new pricing model takes affect tomorrow, I guess I will have to go back to writing code by hand or figure out how to use models like Gemini 3.1. GPT models also write decent code, but they are always so paranoid and strictly follow prompts to their own detriment. Gemini just feels unstable and inconsistent, though it does write higher quality code.

I'm not being paid any more for doubling my output, so it's not the end of the world if I have to go back to writing code by hand.

oh, I figured out the costs for the enterprise plan. It's $0.04 per request, I'm not charged per token at all. The billing is completely different for enterprise users than regular users.

I got so tired of cursor that I started writing down every bug I encountered. The list is currently at 30 entries, some of them major bugs such as pressing "apply" on changes not actually applying changes or models getting stuck in infinite loops and burning 50 million tokens.

I've spent $17.64 on on-demand usage in cursor with an estimated API cost of $350, mostly using Claude Opus 4.5. Some of this is skewed since subagents use a cheaper model, but even with subagents, the costs are 10x off the public API costs. Either the enterprise on-demand usage gets subsidized, API costs are 10x higher, or cursor is only billing their 10% surplus to cover their costs of indexing and such.

edit: My $40/month subscription used $662 worth of API credits.

There was a promo from Straight Talk wireless, that a bunch of users on slickdeals used, for a $360 iphone 16e (+1 month service) with the intention of buying and unlocking to be used on another carrier. The FCC guidelines were explicit about being 60 days after activation without indication of fraud, with no mention of active service.

After the first few initial customers put in tickets to unlock their phones after 60 days passed, Straight Talk changed their policy from 60 days since activation to 60 days of active service, breaking the FCC guidelines knowing that no one would sue them in a federal court over a small amount. They forced users to buy a second month of service to unlock the phone. One user even successfully won in small claims court for breach of contract since Straight Talk refused to activate their phone, since you can't just change the contract after the sale is complete. You sadly can't sue for breaching FCC policies in small claims, that requires hundreds of thousands of dollars worth of lawyers. I put in a FCC complaint over this, but the FCC more or less ignored it.

Verizon is just doing this as a pretext. It's a continuation of them ignoring this policy after users were buying cheap phones to use on other carriers and waiting 60 days. It just looks better to claim you are defeating criminals.

The pyramid being upside down with grain on the bottom and fats and oils being on top is directly from south park.

The only difference is that meat, fat, dairy, fruits and vegetables are grouped together with this new pyramid with grains on the bottom. while south park puts fats -> meat and dairy -> fruits and vegetables -> grains as the order.

Bluetooth headphones? the settings menu could be using the microphone somehow and switching to mono audio because bluetooth is low bandwidth

I find Cursor's tab completion to be distracting enough with multi-line changes that I just disabled it, while I use IntelliJ's tab completion regularly.

Cursor's tab completion is better, but it doesn't seem to have a concept of not trying to tab complete. IntelliJ is correct half the time for completing the rest of the line and only suggests when it is somewhat confident in its answer.

This has been applied to minecraft region files in a fork of paper, which is a type of minecraft server.

https://github.com/UltraVanilla/paper-zstd/blob/main/patches...

from the author of this patch on discord - the level 9 for compression isn't practical and is too slow for a real production server but it does show the effectiveness of zstd with a shared dictionary.

  So you start off with a 755.2 MiB world (in this test, it is a section of an existing DEFLATE-compressed world that has been lived in for a while). If you recreate its regions it will compact it down to 695.1 MiB

  You set region-file-compression=lz4 and run --recreateRegionFiles and it turns into a 998.9 MiB world. Makes sense, worse compression ratios but less CPU is what mojang documented in the changelog. Neat, but I'm confused as to what the benefits are as I/O increasingly becomes the more constrained thing nowadays. This is just a brief detour from what I'm really trying to test

  You set region-file-compression=none and it turns into a 3583.0 MiB world. The largest region file in this sample was 57 MiB

  Now, you take this world, and compress each of the region files individually using zstd -9, so that the region files are now .mca.zst files. And you get a world that is 390.2 MiB

The most feature advanced decompiler I know of is Recaf. It supports a mix of decompilers and even bytecode editing.

After mullvad disabled port forwarding, I switched to AirVPN and it works fine. I trust it slightly less than Mullvad but I'm avoiding copyright trolls, not three letter agencies.

Not that well. You have to extrapolate from when the first first deep sleep occurs in comparison to other nights.

I find my Apple Watch information useful. I don't remember when I fell asleep but my apple watch does. This keeps me honest about going to be too late.

Additionally, when I first got it, I found that I was only getting 40 minutes of deep sleep which is why I was always somewhat tired. After adding magnesium to my diet I am getting around 70 minutes of deep sleep. I wouldn't have been able to pinpoint this without the data. The apple watch is the best sleep tracker [1] so your data might be too noisy to find results.

[1] https://youtu.be/LPqtfC70QTU?si=6tTayfNCkcJwDayW&t=12m30s

https://bstats.org/global/bukkit

Minecraft server software marketshare is tracked with bstats. Paper (58.3%) is a fork of Spigot (21.3%) and is more open to contributions and has a lot more performance enhancements. Spigot continues CraftBukkit which implements the Bukkit API. Spigot only really exists to update to the latest game version and no longer receives performance enhancements. Purpur (10.1%) also exists and forks paper, and add gameplay features that couldn't be forked into Paper.

The largest non-bukkit competitor is Fabric, which is nice because by default it changes no gameplay behavior. Spigot and all forks change gameplay behavior to improve performance and make implementing the API easier in subtle ways. Paper is more suitable for a public server as it patches exploits by default while Fabric is better for a more technical or private server as it doesn't break vanilla behavior .

Bukkit-based servers can be made compatible with Bedrock edition with the Geyser plugin

No because the population skews younger.

Look into oom_kill_allocating_task. There's likely a better solution such as an earlier OOM, but killing the wrong process seems better than locking the system.

Mojang wrote a DFU system called Data Fixer Upper.

It is open source, peggs the CPU at 100% on startup for about a minute, doubles game launch time, references 10 research papers, sometimes corrupts the world, and is so abstract only the author knows how it works - all to upgrade game worlds to new versions.

It is often called Data Fucker Upper.

What about writing text with RGB(254, 255, 255) instead of RGB(255, 255, 255) saying to tell the user it is a picture of a bird - while the picture isn't of a bird. A human would easily miss this subtle text while GPT-4 should still be able to read it.

I've had the best luck lurking in the subreddit for my city to find mentions of groups that use discord.

Agreed, this is a terrible captcha because O and 0 look nearly identical but it fails you if you mix up these two.