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Tensor Vision Technologies Tensor Vision Technologies extracts meta-data from images, video, etc.

06/02/2026

She was rejected 15 times, dismissed as unruly, and largely written out of the conversation. Then the science proved she was right — and changed everything we thought we knew about life itself.

In 1966, a twenty-eight-year-old biologist named Lynn Margulis sat down and wrote a paper that contradicted one of the most fundamental assumptions in all of science.
She was not a tenured professor. She was not working at a prestigious research institution. She was a young mother of two, recently divorced, completing her PhD while raising her sons largely on her own. The scientific establishment had no particular category for her and no particular interest in what she was proposing.
She proposed it anyway.
Her idea was this: that the story of evolution told through competition and conquest was incomplete. That somewhere in the deep history of life on Earth — billions of years ago, long before anything with a spine had appeared — something had happened that was not a battle but a merger. Two separate organisms, each unable to survive alone, had come together and become something neither could have been independently.
The mitochondria in every one of your cells — the structures that convert food into energy, the engine that powers every thought you are having right now — were once free-living bacteria. They did not evolve gradually inside cells. They moved in. They formed a partnership so deep and so permanent that over billions of years they became indistinguishable from the cell itself.
She called the theory endosymbiosis. She called the process symbiogenesis. What she was really saying was that cooperation, not just competition, was one of the engines of evolution — that life's greatest leaps forward had sometimes come not from one organism defeating another, but from two organisms becoming one.

Fifteen scientific journals rejected the paper before it was published in 1967.
Fifteen.
To understand what she was working against, you need to understand the scientific culture of the 1960s. Neo-Darwinism — the synthesis of Darwin's evolution with Mendelian genetics — was the reigning framework, and it was defended with the particular intensity of a field that had recently achieved hard-won consensus. The idea that a bacterium had simply moved inside another cell and stayed there, permanently, was considered not just wrong but somewhat absurd. Evolution happened through random mutation and natural selection, slowly, over generations. Not through dramatic mergers. Not through cooperation.
The reviewers who rejected her paper used words like speculative and insufficiently rigorous. One described the idea as the sort of thing that was interesting to think about but impossible to prove.
She was also described, more than once, as unruly.
It was the specific word that followed women who challenged scientific consensus — not wrong, not misguided, but unruly, as though the problem were her manner rather than her method.
She had been exceptional from the beginning in ways that made people uncomfortable. Born Lynn Petra Alexander in Chicago on March 5, 1938, she entered the University of Chicago at sixteen — intellectually restless, reading at a level that outpaced her coursework, drawn to the questions at the edges of what science had settled. At nineteen she married a young astronomer named Carl Sagan, who would go on to become one of the most famous scientists of the twentieth century. She would later say, without particular bitterness, that during their marriage she was primarily considered someone's wife rather than someone in her own right.
They divorced in 1964. She raised their sons — including Dorion Sagan, who would become her longtime collaborator — while completing her doctorate in genetics from the University of California, Berkeley. She did the work that would change biology while managing the entire domestic architecture of a life that offered her very little structural support.
When molecular biology caught up with her theory in the 1970s — when DNA sequencing technology became sophisticated enough to actually test what she had proposed — the results were unambiguous. Mitochondria contained their own DNA. That DNA was bacterial. The evidence was not suggestive. It was definitive.
The fifteen journals that had rejected her paper were now looking at proof.
The scientific establishment did what establishments eventually do when reality forces their hand — it incorporated her theory, celebrated it as a cornerstone of modern evolutionary biology, and credited her in terms that ranged from gracious to slightly grudging depending on who was doing the crediting. E.O. Wilson, the legendary sociobiologist, called her the most successful synthetic thinker in modern biology. Richard Dawkins — who disagreed with her on multiple other scientific questions — praised her sheer courage in holding to the endosymbiotic theory through years of institutional resistance until the evidence made denial impossible.
Science magazine, the most prestigious journal in American science, called her science's unruly earth mother.
They still couldn't let go of the word.
She was elected to the National Academy of Sciences in 1983. She received the National Medal of Science in 1999 from President Clinton — the highest scientific honor the United States government bestows. She collaborated with British scientist James Lovelock on the Gaia hypothesis — the provocative and still-debated theory that Earth itself, its atmosphere and oceans and living systems, functions as a single self-regulating organism maintaining the conditions necessary for life. It was another idea that the mainstream received with raised eyebrows, and another idea that has proven more durable than its critics expected.
She wrote books with her son Dorion that translated complex scientific concepts for general readers — believing that science belonged to everyone and that the story of life was too extraordinary to be locked inside academic journals. She co-founded a publishing imprint. She taught at the University of Massachusetts Amherst for decades and trained a generation of scientists who carried her framework into fields she never lived to see it reach.

She died on November 22, 2011, from a hemorrhagic stroke. She was seventy-three years old.
What she left behind was a redrawn map of life itself.
Every complex cell on Earth — every cell in your body, every cell in every plant, every cell in every animal that has ever lived — is a collaboration. It contains within it the descendants of bacteria that chose, billions of years ago, to stop competing and start cooperating. The boundary between self and other is not where we thought it was. It never was.
Lynn Margulis saw that when almost no one else did.
Fifteen journals said no.
The universe had been saying yes for two billion years.

 (s) are extraordinary inference engines over the library of inherited human knowledge, but powerful inference is not th...
06/02/2026

(s) are extraordinary inference engines over the library of inherited human knowledge, but powerful inference is not the same as creating a new explanatory schema.

New schemas require:
* Conjecture - proposal of ideas not contained in the data
* Criticism - testing and attempts to falsify
* Revision and generalization - deeper principles that explain and predict

We need to separate practical engineering and deployment failures from prophecies or debates about the “moral status” of...
05/05/2026

We need to separate practical engineering and deployment failures from prophecies or debates about the “moral status” of statistical software.

05/02/2026

Tensor Vision -- Actionable Image Intelligence (circa 2013)
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Understanding cause and effect is important for deriving actionable intelligence. Actionable Image Intelligence is intelligence extracted from images and videos that enables agents to understand and navigate the physical and the virtual world.

  Doomsday: Science or Secular Theology? ---Much of the current AI doomsday rhetoric sounds less like science and more l...
04/15/2026

Doomsday: Science or Secular Theology?
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Much of the current AI doomsday rhetoric sounds less like science and more like a secularized version of Judgment Day. When we strip away the technical vocabulary, it reveals a familiar the underlying structure:

1. Omniscience: AI is cast as knowing and understanding all, because it is trained on vast archives of recorded human output.
2. Omnipresence: It is perceived as omnipresent because it is embedded in the cloud, and networked devices.
3. Omnipotence: It is framed as all-powerful because institutions are handing algorithms authority over consequential decisions.

However, these parallels collapse under scrutiny. AI is not omniscient, omnipresent, or omnipotent, but a human-built, infrastructure-dependent statistical system that can be unplugged.

A doomsday claim is scientifically meaningful only if it is tied to a falsifiable cause-and-effect model. Without a specific causal mechanism of "p(doom)" that can be specified, tested, and potentially disproven, these scenarios remain compelling sci-fi narratives, not scientific conclusions.

When catastrophic narratives dominate discourse without causal grounding, they generate fear, distort research priorities and divert attention from present-day AI failures that already affect people’s lives:
* Algorithmic Bias and lack of transparency.
* Systemic Brittleness in high-stakes environments.
* Erosion of Accountability and a lack of meaningful recourse for individuals.
If we want trustworthy AI, we need less prophecy and more causal analysis. The priority should be the engineering and causal inference needed to fix the flawed AI systems we have today.

01/26/2026
10/14/2025

As the creator of the world’s first algorithm, Ada Lovelace’s ingenuity and perseverance helped her break down barriers to achieve what seemed impossible. We celebrate today to highlight the incredible impact of Ada’s groundbreaking accomplishments, serving as an inspiration for others to pursue careers in STEM.

09/10/2025

Today, let’s remember Dennis M. Ritchie, who was born in 1941. Ritchie received the 1983 with Ken Thompson, for their development of generic operating systems theory and specifically for the implementation of the UNIX operating system. More, here: https://amturing.acm.org/award_winners/ritchie_1506389.cfm

What is commonly referred to in the literature as the Tucker or HOSVD was developed by Vasilescu and Terzopoulos under t...
05/30/2025

What is commonly referred to in the literature as the Tucker or HOSVD was developed by Vasilescu and Terzopoulos under the name M-mode SVD, but misattributed to Tucker or De Lathauwer etal.

This misattribution has created confusion into the scholarly record, obscuring the algorithm’s true origin, complicating efforts to accurately trace its development, and hindering proper recognition of its foundational contribution to multilinear algebra and tensor methods.
https://www.media.mit.edu/~maov/tensorfaces/eccv02_corrected.pdf

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