ROI LOCAL Web Design Sacramento Ca.

03/18/2026

Founded in the 1960s, this 28-acre area has a visitor center, museums & a variety of history tours

03/18/2026

RoilocalWebDesign.com

Kirk Lockhart Sr.) is the operator of "The Social Media Business Builder".

03/09/2026

Rated R O I LOCAL WEB DESIGN@BestWebDesignNearMe

02/25/2026

WELCOME TO KIRKOPOLIS

In the realm of subtlety, the WORLD exists,�Where couples glued to their phones persist,�But in the realm of intimacy's face,�Turn off the devices, embrace in GOD’s Grace.
PayPal, Cash App, and Zelle have replaced our cash,�But paper money's value is a thing of the past ,�For the world, Oh, it desires something more,�Not your money, but your mind and your TIME even More.
Streaming games and videos all around,�Every corner, every screen, they can be found,�But if you yearn for true wisdom to SPEAK,�Turn off the world, pick up a book, GUIDANCE I SEEK.
For in this age of constant noise and haste,�Being smart means indulging in a spiritual taste,�Read the pages, let knowledge be took,�Escape the chaos, accept the wisdom of The Book.

WELCOME TO KIRKOPOLIS
socialmediaexpertlosangeles.space/

02/17/2026

"Six Six Six California" or "Six Californias" most commonly refers to a political proposal to divide the state, but it also appears in culinary and entertainment contexts:
Political Proposal: "Six Californias"
Proposed by billionaire Tim Draper in 2014, this initiative aimed to split California into six separate states. The proposed states were:
Jefferson: The northernmost region.
North California: Including Sacramento.
Silicon Valley: Including San Francisco and San Jose.
Central California: The agricultural heartland.
West California: Including Los Angeles and Santa Barbara.
South California: Including San Diego and Orange County.
The measure failed to qualify for the 2016 ballot after many signatures were found invalid.
Culinary & Literature
Six California Kitchens: A celebrated cookbook and memoir by Sally Schmitt, the founding chef of The French Laundry. It details her journey through six different kitchens that shaped California cuisine.
The Six: A local gastropub with locations in West LA and Studio City, known for its "Six" concept—offering six types of beers, six red wines, and six white wines.
God Pray 🙏 for U.S.All

02/07/2026

🔦 SearchTheScripturesReSearchTheBible
📖

Countries in the Bible and what they are called today. ...

02/07/2026

Broadway NY/ TheProducers🎥 1967@MelBrooks

Continuing from the Spaceballs 2 announcement, here I am to quickly discuss the first feature-length movie from Mel Brooks, The Producers. This was a hilario...

02/07/2026

The Ethiopian Orthodox Tewahedo Church Bible is considered controversial and unique because it is the most complete, oldest Bible canon, containing 81–88 books, which includes texts excluded from Western bibles like the Books of Enoch, Jubilees, and Maccabees. It is written in Ge'ez, an ancient Ethiopian language, with key manuscripts dating to the 4th-6th century, predating the KJV by hundreds of years.
Why the Ethiopian Bible is Controversial
Expanded Canon: It includes more books (81-88) than the Protestant (66) or Catholic (73) canons, including Enoch and Jubilees.
Different Perspective: It challenges mainstream historical narratives by offering a, specifically African, perspective on biblical figures, such as celebrating Ham as the patriarch of Africa.
"Missing" Books: It retains texts that were largely excluded or lost in European traditions, leading to debates over which texts constitute the "true" canon.
How Old is It?
Age: The Ethiopian Bible is believed to be nearly 800 years older than the 1611 King James Version (KJV).
Manuscripts: The earliest translations into Ge'ez date back to the 4th-7th century, following the 4th-century Christianization of the Kingdom of Aksum.
Garima Gospels: Carbon dating of the Garima Gospels—the earliest known illustrated Christian manuscripts—places them between A.D. 330 and 650.
Was it Referenced by KJV Scribes?
No Direct Influence: The Ethiopian Bible was generally not used as a primary source for the KJV translation.
Isolation: The Ethiopian Church remained relatively isolated from European, Roman, and Anglican traditions for centuries, meaning its text, while older and more complete, was not a basis for the 17th-century KJV translation.
The Ethiopian Bible represents a distinct, ancient branch of Christianity that developed independently, preserving a longer canon than most other traditions.
Scriptures

Hidden for over 1,700 years in the mountains of Ethiopia, monks have guarded a Bible containing up to 81 books — far more than the 66 in the Protestant Bible...

01/27/2026

A Large Language Model (LLM) is a type of artificial intelligence (AI) designed to understand, generate, and process human language. LLMs are based on deep neural networks (specifically transformer architectures) trained on vast, unlabeled text data using self-supervised learning.
Here is a breakdown of their meaning, origins, and key dates:
1. Meaning of LLM
Definition: An LLM is a deep learning model trained on a massive amount of data to predict the next word (or token) in a sequence.
"Large" Factors: Refers to both the size of the dataset (terabytes of text) and the number of parameters (often hundreds of billions) within the neural network, similar to connections in a human brain.
Components: They rely on transformers, a specialized neural network architecture that excels at detecting relationships between words, even far apart in a sentence.
Applications: Chatbots, text generation, summarization, code writing, and translation.
2. Origins and History
While modern LLMs seem new, their foundations span decades:
1940s-1950s: The foundational concept of Artificial Neural Networks (ANNs) was introduced by McCulloch and Pitts in 1943.
1960s-1980s: Early work in computational linguistics and natural language processing (NLP) began, though limited by computing power.
2010s: The rise of deep learning and Word2vec (a technique to represent words as vectors) set the stage.
2017 (The Turning Point): Google researchers published the "Attention Is All You Need" paper, introducing the Transformer architecture, which allows models to process data in parallel rather than sequentially.
2018: OpenAI released the first GPT (Generative Pre-trained Transformer) model, showcasing the power of pre-training on large datasets.
3. Key Development Dates (Timeline)
2017: Transformer architecture was introduced.
2018: GPT-1 was released.
2019: GPT-2 demonstrated improved generation capabilities.
2020: GPT-3 was released, and scaling up the model to 175 billion parameters significantly improved performance.
Late 2022: ChatGPT (based on GPT-3.5) was launched, which popularized LLMs.
2023: GPT-4, Google Bard (later Gemini), Claude, and Llama were released, bringing multimodal (image/text) capabilities.
2024-2025: There is an increased focus on smaller, efficient models (SLMs), improved reasoning, and agentic workflows (AI agents acting on behalf of users).
4. Important Concepts Regarding Dates
Knowledge Cutoff Date: This is the date up to which an AI was trained on data. For example, a model with a cutoff of October 2023 does not inherently know about events in 2024 unless connected to a search tool.
Inference Time: This is the time it takes for an LLM to generate a response. It can be affected by the request's complexity and system load.
Note: In some contexts, LLM can also mean "Master of Laws" (Legum Magister), but in technology, it exclusively refers to Large Language Models.

01/27/2026

Synthetic humanity refers to the merging of advanced AI with human-like, non-deterministic behaviors, creating AI beings, digital personas, or robotic systems that simulate human thought, emotion, and interaction. These systems are designed to revolutionize research, marketing, and, increasingly, social interactions. They represent a paradigm shift from simple automation to, potentially, artificial companions, prompting significant ethical, legal, and safety considerations regarding trust, authenticity, and societal evolution.
Key aspects of synthetic humanity include:
Synthetic Humans (AI Beings): These are AI-driven personas designed to mirror human psychology for user research, simulating focus groups and analyzing human reactions without involving real people.
Virtual Characters: Technologies like Synthesia, HeyGen, and InVideo create highly realistic, AI-generated avatars for marketing and training.
Robotics with Synthetic Muscles: Advanced humanoids, such as Protoclone, use hydraulic systems and artificial muscles to mimic human movement.
Societal and Ethical Risks: The rise of synthetic, "too-real" relationships may lead to emotional manipulation, deepfakes, and the need for new frameworks to manage AI-generated personas.
Future Implications: By 2035, AI-powered systems may, in some contexts, outnumber humans, prompting questions about the future of work, conflict, and the definition of human, according to insights from the Imagining the Digital Future Center.
This evolution challenges the definition of human-AI interaction, demanding a, "humanistic" approach to AI development, as discussed in a Medium article and another Medium article.