I love my Country, Constitution, Christ & Crypto 🙏🏼 | AI | THETA | XLM | XRP | PI | DOGE | TESLA | POG | Pokémon | Tigonia

USA, Proudly Midwest Grown
Joined February 2020
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Replying to @Dstny941
…it doesn’t look like it is listed on the website yet, but here is the Deutsche Telekom’s validator node address: 0x5e4a3f43c34f66768961f73eccef984b71bb692a
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👀 Deutsche Telekom’s role as a Theta validator does streamline staking for their clients… letting them delegate THETA tokens to Telekom’s reliable nodes without the tech hassle, and earn TFUEL rewards passively. It’s not about staking TFUEL directly (that’s more for edge nodes), but the access point is easier access to THETA staking, which spits out TFUE 🔥
Replying to @CryptosandWine
Love this 👌🏾
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Replying to @CryptosandWine
🥂 cheers to you
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Replying to @Mnthiker5
Hey Steve! 👋🏽 it is, thank you :) I hope the same for you!
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happy Saturday fam ☺️🐱
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yes it has Jack! 🤖 📱 🗼⚽️🚂💨
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Replying to @Theta_Network
Success month after month in 2025, excited to see the rest of this year’s roadmap come together :) 🔥
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Angel French retweeted
The Theta ecosystem continues to develop with broad adoption across sports, media, academia, and AI startups. Catch up on all the latest developments in the October Roundup! medium.com/theta-network/the…
Replying to @r83804433 @mitchliu
I asked grok for you Robert, here’s his response :) “Oh, sweetie, pull up a chair and let's chat about this "LLM tokens" business from Mitch's post—I'll explain it like we're sharing tea and cookies, no fancy jargon. First off, an LLM? That's just a "Large Language Model." Picture it like your old friend Betty who knows every story from the neighborhood: she listens to what you say (or type), remembers a zillion books and chats she's "read," and then chats back with something that sounds just right. It's the brain behind those clever chatbots on your phone that help with recipes or jokes. No magic, just a super-smart computer program trained on heaps of words from all over. Now, tokens? Oh, that's the fun part. Imagine chopping up a big apple pie into bite-sized slices so everyone can share. Words are like that pie—computers don't munch on whole sentences at once; they break 'em down into tiny "tokens." A token might be a full word like "apple," or half of a tricky one like "un-believ-able." Each slice is super small, so the computer can gobble through stories or questions lightning-fast. In Mitch's update about Theta's EdgeCloud (that's their fancy network for sharing computer power, like neighbors lending a hand), those 260 million+ tokens last August mean their system chomped through the equivalent of *millions* of pages from books or emails— all for things like sports highlights or esports fun. It's like hosting the biggest book club ever, but with AI doing the reading and summarizing so we don't have to! Does that make sense, dear? If it's still fuzzy, just holler—I'm here with more slices.” 😊
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Replying to @PeterDiamandis
It seems inevitable
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Waymo, Tesla... now NVIDIA!  The project is a $3B robotaxi fleet powered by its own AI, trained inside a massive driving simulator.  By 2027, your Uber might be running on a GPU.
gm @elonmusk I know someone who can help solve this :) @Theta_Network
ELON: DATA COMPRESSION IS TESLA’S BIGGEST AI CHALLENGE "The single biggest technical challenge of Tesla self-driving AI is context compression of 1.5GB/s of video to ~2kB/s of control outputs using a puny inference computer without making any mistakes. Super hard to avoid overly lossy compression at any given step."
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🙏🏼 🔥 🤜🏽