T-Krypto 🚀

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T-Krypto 🚀

T-Krypto 🚀

@Tkrypto707

Degenerate Bag Pumper/ Crypto Class of 2019 Gambling the legacy of my bloodline on memes

San Diego, CA Katılım Şubat 2021
1.2K Takip Edilen302 Takipçiler
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Documenting Saylor
Documenting Saylor@saylordocs·
Dad buys Bitcoin for $100,000. It grows to $5,000,000. If he sells, he owes tax on a $4.9M gain. Instead, he puts it in a trust. Borrows against it. Lives tax-free. Dies holding. Kids inherit at a $5M basis. IRS gets $0.
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T-Krypto 🚀
T-Krypto 🚀@Tkrypto707·
@drdating007 Not hypnotism, the fight or flight comes from our bodies believing we are still living in small tribes of people- where if we were to get rejected publicly, the rest of the the tribe would also reject us for survival ...which is why it feels that way when you approach a 10
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Dr. Dating
Dr. Dating@drdating007·
POV: 25 year old f*ckboy proves that you're currently brainwashed
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Jerr
Jerr@jerr_rrej·
Nigs surround White girl in her car. She drives over them. She was justifiably afraid for her life. Self defense.
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Noah’s Ark 🚢
Noah’s Ark 🚢@NoahsArk1000·
“Judea declares war on Germany” You only know the manipulated version of history.
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MarketMindsetPro
MarketMindsetPro@Realfinancial2·
ONE THING ABOUT TRADING VIEW
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Andrew Bolis
Andrew Bolis@AndrewBolis·
Agentic AI is advancing rapidly, and its use is growing. Here’s a helpful framework to learn Agentic AI. It’s a logical roadmap to build real skills, step by step. [ bookmark 🔖 this post for later ] 1. Agentic AI Introduction ➯ AI systems with autonomous decision-making abilities ➯ Main differences between intelligent agents and traditional AI ➯ Agent core functions: perception, reasoning, and action ➯ Business use cases in workflow automation 2. AI & ML Fundamentals ➯ Supervised and unsupervised learning approaches ➯ Neural networks and deep learning architectures ➯ Reinforcement learning powering autonomous agents ➯ Gradient descent and optimization methods for models 3. AI Programming & Frameworks ➯ Python libraries for creating AI agents ➯ API integration to enable function calls ➯ Frameworks: LangChain, AutoGen, CrewAI ➯ Data management and model orchestration patterns 4. Large Language Models (LLMs) ➯ Fundamentals of transformer-based architectures ➯ Tokenization and embedding methods for NLP ➯ Managing context window size and limitations ➯ Fine-tuning and advanced prompt strategies 5. Understanding AI Agents ➯ Types of agent architectures and design patterns ➯ Workflows for multi-agent collaboration and coordination ➯ Agent decision-making processes and reasoning chains ➯ Task-oriented vs. goal-oriented agent approaches 6. AI Knowledge and Memory Systems ➯ Managing short-term and long-term memory in AI ➯ Vector databases for knowledge storage and retrieval ➯ Implementing retrieval-augmented generation (RAG) ➯ Optimizing semantic search and document processing 7. AI Decision-Making & Planning ➯ Strategies for autonomous goal setting and execution ➯ Multi-agent coordination for problem-solving ➯ Hierarchical planning for intricate agent tasks ➯ Self-directed learning via feedback mechanisms 8. Advanced AI Learning & Adaptation ➯ Reinforcement learning with human feedback (RLHF) ➯ Dynamic optimization and control of prompts ➯ Instruction tuning for specific task performance ➯ Continuous agent improvement via reward training 9. AI Agent Deployment ➯ Cloud-based scaling of AI agent applications ➯ Model deployment using API architectures ➯ Performance tuning for low-latency responses ➯ Monitoring tools and maintenance protocols 10. Real-World AI Applications ➯ Automating business processes with intelligent agents ➯ Autonomous systems for research and data analysis ➯ Enhancing workflows through smart agent integration ➯ Decision-support tools for executive operations Agentic AI isn’t the next trend, it’s the next skill gap. Learn it to future-proof your career. 📌 Get Advanced ChatGPT Guide (free): bit.ly/3StIB3z 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others learn AI
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RealJustinLewis
RealJustinLewis@ReelJustinLewis·
He was right about everything
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Katyayani Shukla
Katyayani Shukla@aibytekat·
She literally exposes why succeeding feels impossible for you.
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Canadian Patriot
Canadian Patriot@PPC4Liberty·
The war on White people is real.
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MatrixMysteries
MatrixMysteries@MatrixMysteries·
An American woman loses both parents and goes through their Social Security records. They paid in for DECADES — nearly $1,000,000 combined. Her dad died before collecting a dime. Her mom only received about $32,000 a year for four years. That’s not a safety net. It's a SCAM.
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IRISH PATRIOT
IRISH PATRIOT@irishpatriot91·
The Painter…
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Zuki
Zuki@zuki_2024·
Shit is getting crazy on Insta lmao
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Tommy H.
Tommy H.@YOBOYTMAC·
@Queen_primis Y’all men are fucking losers, with your dick tucked back. “They’re both wrong and toxic” no that man is a bitch. Gonna slide the cake off the table like a kid, at your wedding! For those of you that don’t get pussy, it’s tradition to feed each other the first bite!
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🦋Queen Primis🌹
🦋Queen Primis🌹@Queen_primis·
She saw the red flag and immediately waved goodbye. 🚩👋
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T-Krypto 🚀 retweetledi
TFTC
TFTC@TFTC21·
They call it “mysterious deaths.” We call it central bank body count.
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MJTruthUltra
MJTruthUltra@MJTruthUltra·
🔻Global White Population Decline: 1950: ~33% 1955: ~31% 1960: ~28.5% 1965: ~26% 1970: ~24% 1975: ~22% 1980: ~20% 1985: ~18% 1990: ~17% 1995: ~16.5% 2000: ~16% 2005: ~15.5% 2010: ~15% 2015: ~14% 2020: ~12% 2025: ~10-12% 2050: believed it will be 5%. 🔻 US only, White Pop Decline: - 1950: ~89.5% - 1955: ~88.8% - 1960: ~88.6% - 1965: ~87.8% - 1970: ~87.0% - 1975: ~85.5% - 1980: ~79.8% - 1985: ~78.2% - 1990: ~75.6% - 1995: ~73.5% - 2000: ~69.1% - 2005: ~67.0% - 2010: ~63.7% - 2015: ~61.6% - 2020: ~57.8% - 2025: ~56.0% - 2050: believed it will be 44.3% The 2020 Census showed a significant white population collapse by 8.6% since 2010, within a 10 year span. Why is this happening? Severely lower fertility rates in white-majority regions (e.g., Europe, North America), while there are countries with significantly higher fertility rates in Asia/Africa, flooding into white-majority regions under the guise of “immigration”. “Immigrants” are then placed on welfare programs which incentivize having larger families while most white family’s work and smaller families. Sources: U.S. Census Bureau, Pew Research Center, Brookings Institution
MJTruthUltra@MJTruthUltra

Tucker Carlson on why Globalists are trying to eliminate White People — After WW2, Global Leaders realized that any White Christian Country is a threat to their World Order “We’re mad about antisemitism at Harvard, which I’m against antisemitism, but no one has lifted a finger to address the actual problem, which is that Normal middle-class white kids have no shot at going to Harvard. They’re hated. Their curriculum hates them officially. Here’s a book saying whiteness is evil…” Clip rumble.com/v728fze-tucker… Full Interview m.youtube.com/watch?v=AFSjb4…

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