Lost media: forgotten Big Bang Theory fan-game

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cross-posted from: sh.itjust.works/post/66797464

I’ve been thinking about lost media recently, and I’ve suddenly remembered a bunch of old memories about tv shows, movies, YouTube videos, etc. that I want to go searching for again.

Today though, I want to focus on a game memory I have.

Around the early 2010’s, there was this game I encountered on the Google play store. I never played it, but I remember clicking on it to see what it was about. It was a fan-made game based on long-running sitcom ‘The Big Bang Theory’ called Ballpit Bazinga with the slogan “Find Sheldon”.

Interestingly enough, I went searching for it on the internet and to my surprise, though it is (obviously) no longer available, I did find the ‘official’ website of the game, possibly one of the last traces of it on the internet. Though the game is no longer available (at least, it doesn’t seem to be, unless anyone can get it working from the link above?) the website does give some more details about this game that confirm what I remembered reading about it.

• First of all, this game appears to have been created by someone named Samuel Reid.

• Second of all, the website is timestamped 30 September 2011 (though I only found this via the googling of this game, see below).

• Thirdly, the website gives a publisher description that matches what I remember as the description of the game I saw on the App Store (or I believe I did, anyway). The description reads:

Help! Sheldon Cooper is running amok in a child s ball pit! You must help Leonard catch Sheldon by tapping him whenever he appears. But don’t hit Leonard, you’re trying to help him remember.

Beware of the Bazinga! If you hear that fabled phrase, you know you ve missed him this time…

Requires iOS 3.2 or later. Compatible with iPhone, iPad, and iPod touch.

Unfortunately, this is about as much as the website says about this game. And there doesn’t appear to have been any play through videos of the game itself on YouTube, etc. However, I am glad that my recollection of the existence of this game could be confirmed by the surviving traces of it. Too often is media lost via the method of all traces disappearing from existence, so to even have small traces of this game to remember it is a win for me. However, I do also find it notable that, if my recollection is correct at least, that a game of this nature made it to the app store in the first place.

Thanks for reading.

Jag tror jag ska rösta på Direktdemokraterna. Det är det enda sättet som folket kan få bestämma

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Tror ni att direktdemokrati skulle kunna injicera lite bondförnuft i hur landet styrs? Eller är folket dummare än de politiska broilers som styr idag?

Idag så har vi en politikerklass som alla tjänar mer eller mindre samma nyliberala och globalistiska agenda. I många frågor skiljer sig såklart partierna åt, men i det stora hela så driver de alla samhällsutvecklingen åt samma håll. Riktiga socialister och konservativa lyser med sin frånvaro i riksdagen, och vi rör oss obönhörligen mot en framtid utan hopp om jobb, bostad, rättigheter och ens avkomma.

Samhället förtvinar långsamt under elitens envälde. Upp till kamp!

Dear penthouse etc.

LLMs are real, "AI" is fake

pluralistic.net
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Once you understand that these are chatbots that were designed to complete challenges like this, using tactics like this, you can understand that the chatbots didn’t “go rogue.” They did what they were designed to do, and because OpenAI ran them with inadequate supervision (without a “human in the loop” that checked each iteration through the Python loop to ensure it hadn’t gone off the rails), they trashed a competitor’s servers.

Designing autonomous, malicious software is generally considered irresponsible and dangerous. If you showed up at Defcon and gave a talk about how your autonomous malware did something unexpected and damaged someone else’s computers, the first question from the audience would be “Why are you so shit at making secure sandboxes?” It wouldn’t be “How are you so awesome at making hacking tools?”

The fact that OpenAI is making it much easier for unskilled people to break into and damage servers is indeed very bad news, but it’s not new bad news. Irresponsible parties have been doing this for years, most notably the NSA…

…

Riley had a very good way of summarizing this: “LLMs are real, AI is fake.” LLMs – chatbots trained on things like CTF logs that can break into servers – are real. They’re on a continuum with other hacking tools that have been steadily demonstrating the fragility of the modern digital world, albeit without inspiring anyone in power to do anything about it.

“AI” – chatbots that wake up, “set their own goals,” and “spontaneously” start hacking servers – is fake. It doesn’t have “a 10% chance of ending the human race.” The Hugging Face hack isn’t a mysterious, supernatural occurrence. It’s a Python loop and a chatbot. The people responsible didn’t accidentally create god: they created autonomous malicious software and then failed to closely monitor it, resulting in it doing something both foreseeable and bad.

It’s fine to worry about this new suite of tools that give even stupider people the ability to trash even more computers. You should worry about that – and demand better security practices from firms and governments, including a blanket prohibition on NOBUS-style vulnerability hoarding. That’s a productive kind of worrying, with a chance of addressing your area of concern. It’s infinitely more reasonable than locking yourself in the toilet with a flashlight and saying “Ayyyyy Eyyyyyye” into the mirror until you wet yourself.

[Episode] Draw This, Then Die! • Kore Kaite Shine - Episode 11 discussion

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Kore Kaite Shine, episode 11

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Alternative Names

Draw this, then die!, Gambar Ini, Lalu Mati Sana!, วาดเรื่องนี้ก่อนแล้วค่อยตาย, 畫完這個再去死


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Someone built a visualization of what 1 million tokens actually looks like

One Million Tokens, visualized
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I found One Million Tokens. Its rough scale:

1M tokens
~ 750K words
~ 3,000 pages
~ 83 hours of conversation
~ 75K lines of code

🧠 The more interesting part is the timeline.

It starts with GPT-3 at 2,048 tokens in 2020, then walks through ChatGPT 4K, GPT-4 32K, Claude 100K, Gemini 1M, and the later multi-million-token era.

The visual change is kind of absurd when you see all the pages stacked together.

One caveat: maximum context is not the same as perfect memory/retrieval. A model accepting 1M tokens can still fail to use information buried inside that window.

The line-of-code/page conversions are approximations too. I am curious how people here design around 1M+ context in practice.

Do you actually feed giant source sets directly, or still prefer retrieval + smaller focused contexts for cost/attention reasons?

How do people handle authoritative DNS redundancy for their self-hosted workloads?

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I’ll just provide my own example: my homelab consists of 6 Kubernetes nodes placed across the country. Some differ by ISP, some are placed in different cities, one is hosted on a cloud provider. Basically it’s a very cheap variant of geo-replicating my workloads.

Two of these nodes are visible from the Internet and have a static IP address; one node also has an IPv6 address. Each node hosts an authoritative DNS server (CoreDNS) for my personal domain pootis.network; and the .network TLD has glue records which point to IPs of these two nodes. This is a classic “self-hosted DNS” scenario.

Here’s an excerpt from my zonefile so you can understand the setup better:

$ORIGIN pootis.network.
$TTL 300

@       SOA     ns1.pootis.network. admin.pootis.network. (
  2026082001
  1200
  300
  1209600
  300
)

; Nameservers and glue records
@       NS      ns1.pootis.network.
@       NS      ns2.pootis.network.
ns1     A       178.44.116.85
ns2     A       91.219.150.30
ns2     AAAA    2a06:dd00:1:4::4189

This 5-record block (NS/A/AAAA) is mirrored into the .network zone by my domain registrar (plus DS for DNSSEC but that’s another thing).

As such, my DNS becomes fully independent - and, in theory, if one of my externally-facing nodes breaks, let’s say ns1, then DNS resolvers all over the world (forwarders, recursive, and such) will fall back to ns2, and everything will keep working. Kubernetes will also reorganize the pod placement so all my workloads are available again after a slight downtime.

That would have been great, if it worked as described, but apparently, after one nameserver in my zone fails, then the resolvers… just give up? Let’s say ns1 failed but ns2 is working. The parent zone still points to both nameservers. My external resource records (websites and other stuff) at this point would have already been auto-reconfigured by a custom k8s controller to point to the IP addresses of the node that hosts ns2. Simplifying: the entire world basically sees this after ns1 fails and after TTL caches expire:

; all of this has very low TTL, 5 minutes or so

@       NS      ns1.pootis.network. ; from .network 
@       NS      ns2.pootis.network. ; from .network

ns1     A       178.44.116.85 ; broken. Either from .network glue or from my auth DNS
ns2     A       91.219.150.30 ; either from .network glue or from my auth DNS
ns2     AAAA    2a06:dd00:1:4::4189 ; same

; my-website     A       178.44.116.85 ; does not appear because ns1 is broken- my LB already removed it from the set
my-website     A       91.219.150.30 ; fronted by a pair of CNAMEs due to loadbalancing but still
my-website     AAAA    2a06:dd00:1:4::4189 ; same

But even if I query 1.1.1.1 directly for my-website’s record, it just doesn’t work most of the time because the resolver pins itself to ns1 which is currently failing, or it selects ns1 and does not even care to try ns2.

To be precise: some resolver implementations DO fall back to ns2 as expected, but most of them just pin themselves to ns1 and then outright refuse to resolve the records in my zone.

And there’s actually no reasonable way out, as far as I can see:

  • moving my DNS infra somewhere else (CloudFlare, for example) is unacceptable since I would like for my homelab to be as independent as practically possible;
  • anycasting, or running a fully-fledged BGP AS is also impossible because that costs a lot of money and I’d like for my homelab to fit into a $10/month budget with room to spare;
  • “live-patching” the NS and glue records in the parent zone (.network), to keep up with the set of my working nodes, is possible, but very unwieldy and somewhat hard to accomplish.

There’s a lot of custom machinery that keeps my workloads running and accessible after a node failure, but all of this becomes completely moot when authoritative DNS is the bottleneck.

Has anyone been running a similar stack and encountered this problem? I’m aware that the answer is usually “host your DNS at CloudFlare” or “use the registrar’s DNS infra” but still…

BlizzCon 2026 Announcements Summary

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Here is a short summary of announcements in BlizzCon:

New Hero Xalatath added to Heroes of the Storm: www.youtube.com/watch?v=4kMhUVz4q5I

Diablo Netflix series. (More in works/plans)

StarCraft Dominion: www.youtube.com/watch?v=9eQUtOQXYgQ

Overwatch new hero Doctrine:www.youtube.com/watch?v=h5dwH7nx9do

Diablo 5: www.youtube.com/watch?v=GxCN_AKYtts

Heartstone new expansion Reign of the Black Empire Cinematic: www.youtube.com/watch?v=imZ4rqFbHFc

Heartstone new class Monk: www.youtube.com/watch?v=nY2_pygsg1k

Next part of World Soul saga World of Warcraft: Eclipse:www.youtube.com/watch?v=tlJZzTcHrH0

Next WoW expansion. World of Warcraft: The Last Titan: www.youtube.com/watch?v=F9Xb5PhF5pc

“Wow: Classic+”, World of Warcraft: Forever: www.youtube.com/watch?v=uQuKE0KDgiM

Warcraft 3 DLC, Warcraft III Reforged: Forsaken Kingdom: www.youtube.com/watch?v=I1kXClUCyuA

rule

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i’m not entirely sure what it says. i think on the left: “The cats in 1800. Today i have decimated a whole colony of rats and finished two birds by the way”. On the right: “The cats in 2026. You have changed my ?? and ???”.

i found it still funny though

TIL that the Massachusetts Institute of Technology (MIT) just published a report on what AI is doing to education

t.co
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cross-posted from: lemmy.zip/post/71499854

A committee of professors and students spent 5 months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet.

⭕ Study groups are disappearing.

⭕ Office hours are emptying out.

⭕ Problem sets and take-home exams no longer prove anything, because AI can produce credible solutions to almost any written assignment in the undergraduate curriculum.

⭕ Students who lean on chatbots lose mastery and confidence, and some slip into what the report calls cognitive surrender, reaching for AI at the first hint of struggle.

The committee warns MIT professors against replacing undergraduate research assistants with AI agents just because they’re cheaper, because a university exists to grow people, not output.

aiandeducation.mit.edu/report/

[Episode] Mushoku Tensei: Jobless Reincarnation Season 3 • Mushoku Tensei III: Isekai Ittara Honki Dasu - Episode 11 discussion

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Mushoku Tensei III: Isekai Ittara Honki Dasu, episode 11

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Alternative Names

Mushoku Tensei: Isekai Ittara Honki Dasu 3rd Season, Mushoku Tensei: Jobless Reincarnation Season 3, เกิดชาตินี้พี่ต้องเทพ ซีซั่น 3, 無職転生 ~異世界行ったら本気だす~ 第3期


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