Members Can Post Anonymously On This Site
-
Similar Topics
-
By USH
The weight of the gods was crushing, their toil beyond endurance. Let the burden pass to humankind! So speak the oldest verses carved into clay, a fragment from the Atrahasis tale of Mesopotamia. Yet what if these divine figures were not simply legends? What if the stories hint at something far older and stranger than we have allowed ourselves to believe? The name Anunnaki comes from the etched symbols of Sumerian records, their lines recounting the deeds of deities who shaped the world and watched over the Earth.
From the cradle of ancient Mesopotamia comes a story older than any empire, etched into clay tablets and whispered through time: the tale of the Anunnaki. Were they gods, symbols, or something far stranger visitors from beyond the stars who shaped human civilization? The myths of Sumer speak of creation, rebellion, giants, and a great flood. But when paired with the ancient astronaut theory, these legends take on a new dimension, one that could rewrite human history.
Who were the Anunnaki? In the ancient Sumerian texts of Mesopotamia, they are described as the offspring of An, the sky god, and Ki, the earth goddess. Their names appear across the Atrahasis epic, the Enuma Elish, the Epic of Gilgamesh, and the Sumerian King List, etched into clay tablets more than 4,000 years ago.
To mainstream historians, the Anunnaki are mythological gods. Yet in the ancient astronaut theory, they were real beings, extraterrestrial visitors who shaped early civilization.
Author Zecharia Sitchin popularized the idea that the Anunnaki came from Nibiru, a hidden “twelfth planet” on a long, elliptical orbit. According to his interpretation of Sumerian records, the Anunnaki faced an environmental crisis. Their planet’s atmosphere was failing, and the solution they sought was gold, which could be ground into particles and suspended as a shield.
This quest for survival brought them to Earth more than 400,000 years ago. They mined resources, altered life, and may even have engineered humanity itself.
The tablets describe how the lesser gods, the Igigi, were forced into back-breaking labor until they rebelled. To replace them, the Anunnaki created humans.
In myth, mankind was formed from clay mixed with divine blood. In Sitchin’s interpretation, this was genetic engineering: the fusion of Anunnaki DNA with Homo erectus. The first prototype was Adamu, a name that echoes the biblical Adam.
The Sumerian “Edin,” later mirrored in the Hebrew Eden, may not have been a paradise garden but an Anunnaki laboratory outpost.
Two Anunnaki brothers shaped humanity’s destiny: Enki – the god of wisdom and waters, often seen as humanity’s ally, granting knowledge. Enlil – stern and authoritarian, seeking control and fearing that humans might grow too powerful. Their rivalry runs through Mesopotamian myth, influencing stories of divine punishment, survival, and human struggle.
Over time, some Anunnaki defied the rules and took human women as partners. Their offspring were the Nephilim, giants and “mighty men of renown.” The Book of Enoch calls their fathers the Watchers, led by Shemyaza.
According to the stories, these hybrids grew violent, corrupted the world, and became uncontrollable. The solution was drastic: a great flood to wipe the Earth clean.
The Atrahasis epic, the story of Utnapishtim in the Epic of Gilgamesh, and the biblical Noah all describe the same event: a chosen man warned by a god, a vessel built to preserve life, animals carried aboard, and birds released to find land. Humanity survived, but weaker, with shorter lifespans, and forever changed.
Supporters of the ancient astronaut theory believe the Anunnaki left traces in stone:
Mesopotamian ziggurats – described as “bonds between heaven and earth,” possibly landing platforms.
The Great Pyramid of Giza – aligned to true north, massive in scale, theorized as a power plant or beacon rather than a tomb.
Megalithic monuments worldwide – stone circles, cyclopean walls, and sacred sites possibly linked to Anunnaki influence.
The Sumerian King List also suggests a divine legacy, describing rulers with lifespans of thousands of years, perhaps evidence of semi-divine hybrids.
Mainstream archaeology sees the Anunnaki as symbolic deities, metaphors for cosmic order and human struggle. But in alternative history, they were real beings, extraterrestrial visitors from Nibiru, who shaped civilization, taught astronomy, metallurgy, agriculture, and law, and left their mark in myths and monuments that endure to this day.
Explore the mystery of the Anunnaki—Sumerian gods, Nibiru, genetic engineering, Nephilim, the Great Flood, and the ancient astronaut theory in the video below.
View the full article
-
By NASA
6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
Share
Details
Last Updated Jul 09, 2025 Related Terms
Science & Research Artificial Intelligence (AI) Explore More
2 min read Polar Tourists Give Positive Reviews to NASA Citizen Science in Antarctica
Article
6 hours ago
2 min read Hubble Observations Give “Missing” Globular Cluster Time to Shine
Article
6 days ago
5 min read How NASA’s SPHEREx Mission Will Share Its All-Sky Map With the World
Article
7 days ago
Keep Exploring Discover Related Topics
Missions
Humans in Space
Climate Change
Solar System
View the full article
-
By USH
The photograph was captured by the Mast Camera (Mastcam) aboard NASA’s Curiosity rover on Sol 3551 (August 2, 2022, at 20:43:28 UTC).
What stands out in the image are two objects, that appear strikingly out of place amid the natural Martian landscape of rocks and boulders. Their sharp edges, right angles, flat surfaces, and geometric symmetry suggest they may have been shaped by advanced cutting tools rather than natural erosion.
Could these ancient remnants be part of a destroyed structure or sculpture? If so, they may serve as yet another piece of evidence pointing to the possibility that Mars was once home to an intelligent civilization, perhaps even the advanced humanoid beings who, according to some theories, fled the catastrophic destruction of planet Maldek and sought refuge on the Red Planet.
Objects discovered by Jean Ward Watch Jean Ward's YouTube video on this topic: HereSee original NASA source: Here
View the full article
-
By NASA
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 3 min read
Sols 4559-4560: Drill Campaign — Searching for a Boxwork Bedrock Drill Site
NASA’s Mars rover Curiosity acquired this image of a portion of its workspace, full of interesting but not drillable bedrock, using its Left Navigation Camera on June 2, 2025 — Sol 4558, or Martian day 4,558 of the Mars Science Laboratory mission — at 12:23:24 UTC. NASA/JPL-Caltech Written by Lucy Lim, Planetary Scientist at NASA’s Goddard Space Flight Center
Earth planning date: Monday, June 2, 2025
Now that Curiosity has spent a few sols collecting close-up measurements of the rocks in the outer edge of the boxwork-forming geologic unit, the team has decided that it’s time to collect a drill sample. The geochemical measurements by APXS and ChemCam have shown changes since we crossed over from the previous layered sulfate unit, but we can’t figure out the mineralogy from those data alone. As we’ve often seen before on Mars, the same chemical elements can crystallize into a number of different mineral assemblages. That’s even more the case in sedimentary rocks such as we are driving through, in which different grains in our rocks may have formed in different times and places. This also means that when we do get our mineral data, those minerals will tell us a lot about the history of these new-to-us rocks.
On board Curiosity, that mineral analysis is the job of the CheMin instrument, which uses X-ray diffraction to identify minerals. CheMin shines a narrow X-ray beam through a powdered sample in order to generate the diffraction pattern, which means that it needs a drilled sample. So the team today was busy looking for a drillable spot. Unfortunately the rover’s drill reach from today’s parking spot included only rocks that were too fractured or had too much debris sitting on them to be considered likely to produce a good drilled sample, so we will have to move, or “bump,” at least one more time before progressing to the drill preload test, which is the next step in drilling.
In the meantime, we are taking more measurements to understand the range of compositions that can be found in this rock layer. Dust removal (DRT) + APXS + LIBS + MAHLI were all planned for target “Holcomb Valley,” while a short distance away a second DRT/APXS/MAHLI measurement was planned for “Santa Ysabel Valley” and in another direction, a second LIBS for “Stough Saddle.” One long-distance ChemCam remote imaging mosaic was planned to cover a boxwork structure off in the distance. Mastcam had a relatively light day of imaging, with just a couple of small mosaics covering a nearby trough feature, and providing context for the RMI of the boxwork structure, in addition to documenting the two LIBS targets. The modern Mars environment was also recorded with a couple of movies to look for dust-devil activity, a measurement of atmospheric opacity, and a pair of suprahorizon observations to look for clouds, plus the usual passive observations by DAN and REMS to monitor the neutron environment, temperature, and humidity.
I’ll be on rover planning Wednesday as Geology and Mineralogy Science Theme Lead and looking forward to what we find — hopefully some drillable boxwork-unit bedrock!
Share
Details
Last Updated Jun 04, 2025 Related Terms
Blogs Explore More
2 min read Sols 4556-4558: It’s All in a Day’s (box)Work
Article
1 day ago
2 min read Sols 4554–4555: Let’s Try That One Again…
Article
6 days ago
2 min read Sol 4553: Back to the Boxwork!
Article
6 days ago
Keep Exploring Discover More Topics From NASA
Mars
Mars is the fourth planet from the Sun, and the seventh largest. It’s the only planet we know of inhabited…
All Mars Resources
Explore this collection of Mars images, videos, resources, PDFs, and toolkits. Discover valuable content designed to inform, educate, and inspire,…
Rover Basics
Each robotic explorer sent to the Red Planet has its own unique capabilities driven by science. Many attributes of a…
Mars Exploration: Science Goals
The key to understanding the past, present or future potential for life on Mars can be found in NASA’s four…
View the full article
-
By USH
What would you do if you suddenly felt an unseen presence, turned around—and found yourself face to face with a seven-foot-tall, insect-like entity? Since 2006, anglers along New Jersey’s Musconetcong River have reported startling encounters with just such a being: a towering, humanoid creature that closely resembles a praying mantis.
But these aren’t just fleeting sightings. Witnesses frequently describe deeply unsettling experiences: telepathic communication, a sense of their thoughts or memories being accessed, and profound physiological effects. Consistent patterns emerge—electronic devices glitch, the surrounding forest falls unnaturally silent, and a strange, low-frequency hum seems to vibrate through the air.
More intriguingly, these mantis-like figures aren’t limited to modern encounters. Strikingly similar forms appear in ancient art across the globe, from 8,000-year-old cave paintings to references in Egyptian iconography. Could these entities have been with us since the dawn of civilization?
Theories vary widely. Some suggest these beings are an advanced species of insectoid extraterrestrials, possibly master geneticists overseeing hybridization programs involving humanity. Others propose a more Earth-bound origin, perhaps they’re a secret lineage of evolved terrestrial insects, hiding in the shadows of time.
And then there’s the interdimensional hypothesis: that these creatures aren’t physical in the way we understand, but exist in a parallel state of reality, occasionally phasing into ours.
Some researchers have even speculated that geological fault lines, like those beneath the Musconetcong River, could serve as energetic gateways, allowing these entities to cross between dimensions.
One thing is clear: the Mantis beings are watching and they may have been here far longer than we’ve dared to imagine.
View the full article
-
-
Check out these Videos
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.