Nice One thing that was bothering me was figuring how to use SCGI on Molly brown. Scant literature on the web but then I of course found a how to on Gemini itself. I wonder if a maekdown translator could be adapted to scgi usage
Caddy (web server) Agate (gemini server) FreshRSS (rss reader) Yarr (rss reader) ergo (irc server) akkoma prosody (xmpp) conduit (matrix) nextcloud soju (irc bouncer) gamja (irc web interface) qbittorrent-nox unbound/dnsmasq isso (selfhosted comments server) smbd and nfs server pivpn wireguard minecraft stuff in seperate ubuntu vm: pterodactyl panel pterodactyl daemon probably something else I forget currently just running a monero miner as I have not been playing minecraft recently. Hardware: Main server Ryzen 7 3900XT with 64GB of ram, two 240GB ssds running in raid1, two 4tb hard drives running in raid1, running proxmox with mostly alpine linux VMs Secondary Server: Intel nuc running alpinelinux, only running secondary unbound/dnsmasq server so if my main server goes down, dns still works. Late 2013 iMac: I was using it to run an iMessage to matrix bridge but I was not able to get it to work so now I just vnc into it to text. (suggestions welcome as vnc is annoying) I also have another intel nuc that does not do anything. All of these servers are connected to an APC back-ups UPS.
Create an account on a trading site. I’ve generally had good experience with gemini.com. You’ll have to do the whole legal process of confirming your identity with a government ID because they report your profits/losses to the IRS for capital gains taxes. From there, you can use a credit card or bank transfer to buy. Once you have some, you can try to transfer it to another wallet or another exchange to “anonymize” it, but keep in mind that it’s all traceable given sufficient effort by someone trying to track it down. Some currencies are better at hiding that stuff (Monero, maybe?). If you really want something close to anonymity and quick and easy, your best bet is to find someone you know in real life and give them cash to transfer to your offline wallet.
This is the best summary I could come up with: Google’s chief executive has told employees to expect more job cuts this yearafter a recent round of layoffs that affected 1,000 staff. Artificial intelligence is a major strategic focus for Google, which last year unveiled its rival to OpenAI’s ChatGPT, Bard, and a new AI model called Gemini. Announcing the job cuts last year, Pichai said Alphabet had undergone a hiring spree as tech firms experienced a boom in demand during the Covid-19 pandemic. Pichai’s memo on Wednesday was sent to employees against a backdrop of tech layoffs elsewhere, albeit not at a scale to match 12 months ago when Microsoft, Salesforce, Amazon and Meta made tens of thousands of job cuts as they adjusted to a post-lockdown economic reality. Pichai said on Wednesday the latest job cuts had focused on “removing layers to simplify execution and drive velocity in some areas” and more role eliminations will take place. “Many of these changes are already announced, though to be upfront, some teams will continue to make specific resource allocation decisions throughout the year where needed, and some roles may be impacted,” he added. The original article contains 534 words, the summary contains 183 words. Saved 66%. I’m a bot and I’m open source!
Is that standard uniform ticketmaster prices? What are typical NFL regular, playoff, and superbowl prices? from gemini NFL Ticket prices Season/Round Price Range Notes Regular Season $50 - $500+ Upper-level seats can start around $50-$100, while premium lower-level and club seats can cost $200-$500+. The average NFL ticket price in 2023 was $377, a jump from $235 in 2022. Team popularity and opponent rivalry significantly influence pricing. According to vocal.media, the average cost of NFL season tickets in 2024 ranged between $600 and $3,000 per seat. Wild Card Round Starting around $145 Prices can fluctuate, with some games seeing higher averages. Divisional Round Starting around $400 Some games have averaged around $993. Conference Championships Starting around $800 Expect to pay at least $800 for the most affordable tickets. Super Bowl Starting around $2,000 - $3,000 Seats can exceed $1,800, especially in high-demand markets. The average price for Super Bowl 2025 tickets was reported at $8,076 by StubHub, down 14% from 2024. Previous Super Bowls have seen average prices like $12,082 (2024) and $8,907 (2023). Prices on the secondary market are typically higher than face value. I don’t expect a lot of tourism demand to come to US, especially with ICE announcing any excuse to raid the superbowl of all events. World cup is more popular with immigrants and tourists than NFL, and “NFL demographic” tends to have low interest in soccer. MLS (pro soccer in US) is 6x lower ticket prices than NFL.
I was thinking of the Gemini (protocol) - Wikipedia but a bit more elaborate, and yeah I’m not sure how far text compression can be pushed. But I think LLMs could be useful and help reach a critical mass of being able to download and store tons of articles. Torrent V2 and other official extensions Updating Torrents Via DHT Mutable Items allow some ways to do this. Like hosting a youtube channel and updating it with new videos, without any new network protocol. Well theoretically since this isn’t yet supported well in torrent clients or lib. I’ve been thinking how this would work for a while but it’s kind of frying my brain haha. Like a “P2P version control database” that is truly open source. For articles and blog posts, but also for metadata for manhwa, movies, tv, anime, books etc. Like anybody can download and use it and share, edit, fork it without needing to set up some complex server. Something that can’t be taken down, sold or if abandoned someone else can just pick it up and you can merge different curated versions and additions easily. You’d basically want a “most popular items of the past X time” that almost everybody downloads, and then the whole database split into more and more exotic or obscure items. So everybody has the popular stuff but also has to host some exotic items so they don’t get lost. And it has to be easy to use and install. But the whole database has to be small and compact and compressed enough that you can still easily host it on a normal HDD. It the current times with economic and political dangers lurking this would be a crucial bit of IT infrastructure.
I asked Gemini Pro whether the thorn character messes an LLM up? If anyone is interested, here’s the answer. The short answer is it makes it harder for humans to read the text, but LLMs are not bothered by it. So, those who are using the thorn character for “th” believing that it breaks AI are not achieving anything and are just being annoying. Gemini Pro’s response: (Note that as I write this in PieFed, the thorn character is being converted to “th” and so you will have to convert it back in your brain. The belief that using the character “þ” (Thorn) “messes with” LLM training has gained some traction in privacy-focused and “anti-AI” circles. Here is a breakdown of the technical reality behind that claim. The Theory: Disrupting Tokenization Large Language Models don’t read words; they read tokens (numerical representations of character clusters). Common Tokens: In standard English, the word “the” is one of the most common tokens. It is highly optimized, and the model “understands” it perfectly. The “Thorn” Hack: If you replace “the” with “e,” you force the model’s tokenizer to handle a rare character. Because is uncommon in English training data, the tokenizer might break “e” into two separate, rare tokens (the byte for and the letter “e”). Proponents believe this makes the text “invisible” or “garbage” to the model, preventing it from learning from the content or correctly categorizing it.
Does it actually work? (Mostly No) While the idea is clever, it is generally ineffective against modern, high-scale LLMs for several reasons: Multilingual Training: Most modern models are trained on massive multilingual datasets. Icelandic uses as a standard letter. Therefore, the models already have in their vocabulary and have seen it millions of times. Byte-Level Tokenization: Modern tokenizers (using Byte Pair Encoding or BPE) are designed to handle any Unicode character by falling back to its raw bytes. They don’t “break” when they see an unfamiliar symbol; they just process it as a less-common sequence. Contextual Mapping: LLMs are excellent at pattern recognition. If a model sees a sentence like “e cat sat on e mat,” it can easily infer from the context that “e” serves the exact same linguistic function as “the.” The “Glitch Token” Phenomenon There is a grain of truth to the “glitching” idea. **In the past, ** certain rare characters or specific strings (often called “glitch tokens”) were included in a model’s vocabulary but appeared so rarely in the training data that their “embedding” (the model’s understanding of them) was never properly trained. When a model encounters a true glitch token, it can sometimes “hallucinate” or produce nonsensical output. However, is a standard UTF-8 character and is too common globally to act as a true glitch token for most general-purpose models. Summary Using is more of a digital protest or a linguistic “speed bump” than a functional way to break an AI. It might make your text harder for a simple keyword-search bot to find, but for a modern LLM, it’s just a slightly “noisy” version of English that we can still read and understand quite easily.A big one for me is choice of apps. Only apps made for Android Auto are available, and that’s not a lot. Especially pretty much nothing from F-Droid. Open source apps for Android Auto are very limited. Sideloading is not a thing for Android Auto either. So I can’t even choose to work around the limitations as I can on the phone itself. The ancient Android Assistant sucks. It constantly doesn’t understand what I ask it and so far I haven’t figured out when exactly it can do a google search for me and when not. Especially considering how far LLMs have come in terms of answering simple questions (e.g. if a name comes up in a podcast and I want to know a little bit of background information to that person). And when they finally add LLM support it will be Gemini only with no choice past that. Then there’s stupid design decisions in apps, e.g. that Google Maps doesn’t show GPS speed when in Android Auto mode. I also hate that Google Maps decided in an update a year or so ago that speed camera warnings (which are illegal in some of the countries I frequently drive in) can not only not be disabled but are so important that they need to take up half the screen and hide the navigation directions while they are up. This is especially crappy when I come up to a busy highway intersection where I have to get off and suddenly there’s no navigation on my screen but a stupid warning I don’t care about because I obey speedlimits anyway. And lastly (that’s likely down to the implementation in my car or my phone), there’s constant connection issues.
I don’t believe you! Here’s what I got from Gemini: Based on the foundational principles of mathematics, 2 + 1 = 3 because it represents combining a set of two items with a set of one item, resulting in a new set containing a total of three items. Here is a more detailed breakdown: Understanding the Numbers 1 (One): This is the basic unit, representing a single object or item. Imagine one apple. 🍎 2 (Two): This represents a collection of two basic units. Imagine two apples. 🍎🍎 3 (Three): This represents a collection of three basic units. Imagine three apples. 🍎🍎🍎 Understanding the Operation (+) (Addition): This symbol means “to add” or “to combine.” It instructs us to take two or more quantities (or sets) and put them together to find their total. Putting It Together The equation 2 + 1 = 3 is a statement that follows these definitions: Start with 2: You begin with a set containing two items. (🍎🍎) Add 1: You then combine that set with another set containing one item. (🍎🍎) + (🍎) Result is 3: When you count all the items in the combined group, you find there are three items in total. (🍎🍎🍎) This concept is one of the most fundamental axioms in arithmetic, often demonstrated using a number line. If you start at the number 2 on the line and move one unit to the right (which is what “+ 1” means), you land directly on the number 3.
Ich habe einen Alternativvorschlag. Nämlich, die Sache zu vereinfachen, indem man statt einem HTTP Server das viel einfachere (und sicherere) Gemini-Protokoll benutzt. Was das ist erkläre ich gleich. Warum? Einen Webserver wie Apache oder Nginx aufzusetzen und zu pflegen ist relativ komplex. Das macht Arbeit, und da man den laufend updaten muss, ist das auch immer wieder Arbeit. (Es gibt auch einfachere Server wie diesen aber einfach ist da echt relativ…) Dazu muss man die Webseiten, wenn man einfache statische Webseiten verwendet, als HTML generieren. Dazu gibt es Blog-Generatoren, so etwas wird viel benutzt und ist sicher möglich. Aber es ist halt komplex. Ausserdem kosten extern gehostete Server Geld, und wenn man sie zu Hause hostet, kosten sie zumindest Strom. Für ein Gerät, das dauernd läuft, kommen da schon ein paar Euro zusammen. Eine erheblich einfachere Alternative ist wie folgt: Statt HTTP benutzt man das Gemini-Protokoll, wie hier beschrieben. Hier ist die Homepage im Gemini-Netz. Wie man sieht, kann man Gemini-Seiten ganz einfach über einen HTTP-Gateway wie oben aufrufen. Oder eben mit einem extra Client wie z.B. deedum (Android) oder Amfora (Linux). Wenn man mal probieren will, wie sich das liest - die Gemini-Homepage der taz Berlin ist gemini://taz.de . Es ist im Vergleich zum modernen Web frugal, aber sehr lesefreundlich! Festhalten muss man, dass dieses Gemini nichts mit anderen Dingen der Internetkonzerne zu tun hat, die auch Gemini heißen, also weder mit Googles “KI” noch mit einem Chatbot. Es ist benannt nach dem Vorläufer des Apollo-Programms der NASA, und technisch gesehen ein Nachfolger von Gopher und eine Vereinfachung des auf HTML basierenden originalen World Wide Web. Konkret geht das wie folgt: Man richtet einen Raspberry Pi mit Debian ein Den hängt man z.B. an die Fritzbox. Die Stromversorgung geht dann über den USB Anschluss der FritzBox, das kostet nur so 1 Watt. Damit der Server-Port von außen erreichbar ist, muss man beim ISP typischweise ine feste IPv4 IP schalten (kostet 5 Euro im Monat). auf der Fritzbox / dem eigenen Interenetrouter richtet man eine Portweiterleitung ein. Soweit ist das jetzt nicht unterschiedlich von einem kleinem HTTP Server. Der entscheidende Punkt ist nun: Statt einem HTTP Server richtet man einen robusten Server für das Gemini-Protokoll ein. Das ist ein stark vereinfachtes Hypertext-Protokoll, das statt HTML eine sehr einfache Syntax hat und auf simple Webseiten mit Text, Bildern und Medien optimiert ist. Hier ist die Wiki-Seite zum Gemini-Protokoll. Ein einfacher Webserver, der in Rust geschrieben ist, ist Agate. Hier ist die Github-Seite, und hier ist die Gemini-Homepage davon. Den Server kann man aus Rust auf dem Raspberry compilieren, wenn man Rust mit rustup installiert. Er ist nicht so komplex, daher ist es nicht nötig, den auf einem anderen Computer zu bauen. Da das Gemini-Protokoll nahezu keine bewegliche Teile hat und nur statische Seiten ausliefert, wird man da, wenn der Server auch noch in Rust geschrieben ist, nur selten Patches brauchen. Das wiederum spart einen Haufen Zeit. Zu konfigurieren gibt es auch nicht viel. Die gesparte Zeit kann man nutzen, um seine Seite zu schreiben. Gemini ist für alles Mögliche geeignet, als eine Art persönliches Wiki, als Microblog, als Blog mit Bildern und Medien, für vernetzten Hypertext oder Dokumentationen oder was auch immer. Dabei ist es sehr text-zentriert - es ist also ein Medium für Leute, die schreiben und lesen. Dann muss man noch seine eigenen Seiten statt mit HTML im Gemini-Format erstellen. Das ist super easy! Man benutzt ein Markup-Format ähnlich wie das Wikipedia-Markup oder Markdown (das was hier bei lemmy genutzt wird). Hier ist eine ebenso vollständige wie kurze Beschreibung des Formats. Erstellen und bearbeiten kann man die Webseiten mit einem Texteditor, wie z.B. Emacs oder vim. Die kann man dann per scp, Krusader oder WinSCP auf den Server kopieren oder mit einem Editor wie Emacs auch direkt auf dem Server bearbeiten.