Podcasts about great pyramid

Walter Sterling speaks with Ross Coulthart about Graham Hancock's work on lost civilizations, ancient megaliths, Gobekli Tepe, the Great Pyramid, the Younger Dryas impact theory, submerged ancient sites, and the possibility that human history may be far older and stranger than mainstream archaeology admits. Robert Clotworthy also joins to discuss Ancient Aliens, underwater bases, new UFO file releases, plasma beings, video game voice work, and what may be coming next in disclosure. Plus, Matthias Bombal reviews Steven Spielberg's new alien-themed movie Disclosure Day, Walter breaks down the strange trend of people living on cruise ships, callers weigh in on nursing home life and aging, and the show dives into alien implant stories, hidden government knowledge, and why the truth may be closer than ever. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 183: Re-release, Episode 94 of the American Grown Podcast in the Colortech Creative Solutions studios with Lou Fabrizi, Utility Training Battalion Commander. • In this episode, I re-released episode 94 featuring Lou Fabrizi, Lou shares stories from his most recent diplomatic deployment to the Middle East and the unique experiences that came with it—including the opportunity to explore the iconic Great Pyramid of Giza.Throughout his deployment, Lou developed a deep appreciation for the region's culture, food, music, and history, gaining perspectives that many people never have the chance to experience firsthand.With more than 23 years of service in the United States Army, Lou also opens up about the next chapter of his life as he prepares to transition from military service to civilian life. We discuss the challenges, opportunities, and mindset required to navigate such a significant life change after more than two decades in uniform. • To learn more about Lou Fabrizi click here: • SHOW SPONSORS:Cleona Coffee Roasters. A small batch coffee roastery & coffee shop, veteran & first responder owned located inside 911 Rapid Response in Annville PA.Angelo's Pizza. Enjoy mouthwatering Italian dinners.Triggered 22. Support a local veteran and help spread awareness for PTSD & #22aday.Hossler Engraving. Looking for unique handcrafted gifts for all occasions Zach has you covered.Hains Auto Detailing. Have your car smiling from wheel to wheel. • Sip or Snack break?SIP: Garage Beer.SNACK: Jurgy. • OFFICIAL STUDIO SPONSOR: Colortech Creative Solutions takes your creative projects from visualization to realization. We've been doing so since 1980 all while keeping your budget in mind.To see photos of today's guest follow on social media:IG: AmericanGrownPodcastFB: American Grown Podcast or visits us at American Grown Podcast

The stories that made the Ancient Egypt headlines over the first week of JuneExcavations in MatariyaRare Finds in IhnasyaFour Artefacts Returned From USNew Discoveries at Tell Kom Aziza Ancient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

High Timeline Living Website:https://www.hightimelineliving.com/Readings with Kristin Lawhead:https://kristiraeastrology.wixsite.com/blogKristin's Pinterest Page:https://www.pinterest.com/kristirae01/?invite_code=abac4e48864546c5be3de92dd3aeea4d&sender=236439186595387133Readings with Alisa Dixon: https://www.astrologywithalisa.com/Fun Astrology YouTube Channel:https://www.youtube.com/@funastrologypodcastBuy Thomas a Coffee!https://www.buymeacoffee.com/funastrologyThank you!Join the Fun Astrology Lucky Stars Club Here!Old Soul / New Soul Podcast - Back Episodes:https://www.buzzsprout.com/2190199https://www.youtube.com/@OldSoulNewSoulAstrologyPodcastDisclaimer: The material in this episode is intended as informational and educational purposes only from an astrological perspective and reflects only the opinions of the presenter. In no way is this podcast considered professional psychological or medical counseling or advice. If you are experiencing a personal crisis, please contact 988 for immediate professional, licensed assistance. 

​Archaeologists recently uncovered a mysterious "anomaly" beneath the Western Cemetery near Egypt's Great Pyramid of Giza. Using ground-penetrating radar and electrical resistivity tomography, they identified two underground structures: a shallow L-shaped feature and a deeper, larger one. Both structures appear man-made due to their distinct shapes and densities differing from the surrounding soil. Researchers speculate that the shallow feature might have served as an entrance to the deeper structure, possibly indicating the presence of a tomb. Excavations are planned to further investigate these intriguing findings. ​ Learn more about your ad choices. Visit megaphone.fm/adchoices

Where Is Missing Capstone of the Great Pyramid? Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, we explore the possibilities of there being a SECOND Sphinx under the Great Pyramid of Giza. We'll review the claims made by an Egyptian government whistleblower, look at the Filippo Biondi scans and other interesting topics. Welcome to Camp!

We're announcing AIEWF speakers this week! Take the AI Engineering Survey!Today's guest Ethan first joined us for the LS Paper Club as the lead on NVIDIA Cosmos World Model, but then joined xAI and built Grok Imagine in 3 months:He comes back on Latent Space with some nuclear hot takes: that Video Models primarily get their intelligence from LLMs, not from training on video data, and that the next frontier for truly interactive, realtime, long-horizon world models is to work on LLMs (perhaps Interaction Models as well…)Put it this way: In the near term, the next Sora won't be a better video model, but a video agent.Generative Media may more closely follow the evolution of AI coding which went from focusing on one-shot output performance and cost, to multiturn reasoning and planning models for agents and systems that can plan, edit, test, debug, and submit PRs.At a certain point, coding models got so good that the only significant next step to improve performance was handling the orchestration of these models.Now as the performance of video models increases significantly across realism, consistency, & prompt adherence while becoming more cost efficient, the next evolution of video generation may also be systems that can plan, generate, edit, critique, and iterate across an entire creative task. In this episode, Ethan joins swyx and Vibhu to unpack what it actually takes to build frontier image and video systems: data, VAEs, diffusion transformers, audio-video alignment, inference speedups, and the hidden cost of storing and moving massive video datasets. From building NVIDIA's Cosmos world model to joining xAI as Grok Imagine was being built from zero to one, Ethan He has been at the center of some of the most important work in video generation, multimodal models, and real-time world models.We go deep on Grok Imagine, how a small xAI team shipped its first multimodal video model in three months, why iteration speed matters more than almost anything in model development, and why many of the biggest gains come from fixing tiny bugs in data and training pipelines. Flipbook: The future of VideomaxxingVideo agents are almost a sure bet to be the trend in the coming year. We end with a glance at what's beyond video agents:Flipbook caused a minor sensation this year when it was released, but most treat it as a fun demo. Ethan takes it very seriously — with the speed and cost of inference coming down every year, the future of custom video JIT UI is closer than you think. We talked about why videogen models may become the front end of AI, how generative UI could replace traditional HTML/CSS, why world models need to be real-time, interactive, and long-horizon, and why the future of video generation may depend more on language models and agents than on diffusion alone.We discuss:* Why fast iteration mattered more than meetings* Why small training bugs can drive huge model quality gains* Why coding models may make compute the bottleneck again* How image and video models are trained with synthetic captions* The role of VAEs and latent space in frontier video models* Why image models are the foundation for video models* The tradeoff between temporal compression and real-time interactivity* Flipbook, Neural OS, and the future of generative UI* Why future interfaces may go from user intent to pixels* The hidden cost of training video models: storage, egress, and GPU hours* How step distillation and consistency models (like OpenAI sCM) makes video inference orders of magnitude faster* Grok Imagine 0.9 and large-scale audio-video generation* Why audio-video alignment is harder than text-video alignment* Ethan's definition of world models* Reference-to-video, video extension, and long-context video generation* Why xAI's research communication undersells Grok Imagine* How xAI culture shaped the speed of development* AI watermarking, SynthID, and detecting generated media* Why prompt rewriting matters for video models* Grok Imagine Agent and the rise of video agents* Why language models may unlock better video generation* Robotics, physical AI, and embodied world models* Why Ethan left xAI and shifted focus toward LLMs* Self-managed context, memory, and the next frontier for language modelsEthan He* LinkedIn: https://www.linkedin.com/in/ethanhe42* X: https://x.com/EthanHe_42Timestamps00:00:00 Introduction00:01:25 From NVIDIA Cosmos to xAI00:03:24 Building Grok Imagine from Zero to One00:10:07 How Image and Video Models Are Trained00:18:53 Video Compression, VAEs, and Real-Time Tradeoffs00:22:10 Generative UI, Flipbook, and Neural OS00:32:10 The Cost of Training Large Video Models00:37:04 Distillation, GANs, and Fast Video Inference00:41:21 Audio-Video Generation and Grok Imagine 0.900:48:34 What Makes a World Model?00:55:51 Reference Videos, Long Context, and Video Memory01:00:11 xAI Culture, Research, and First-Principles Building01:09:45 AI Safety, Watermarking, and Prompt Rewriting01:13:10 Video Agents and AI-Assisted Creation01:27:32 Why Language Models Unlock Better Video01:31:15 Robotics, Physical AI, and Embodied World Models01:32:38 Why Ethan Left xAI01:34:16 Self-Managed Context and the Future of LLMs01:38:43 Ethan's Career Path and Closing ThoughtsTranscriptIntroduction: Ethan He, Latent Space, and the Path to xAISwyx [00:00:00]: We're here in the studio with Ethan He, most recently of xAI. Welcome.Ethan [00:00:10]: Thank you. Glad being here.Swyx [00:00:11]: We're also here with Vibhu. you were first coming to us or joining the latent space world because you were working on Kosmos at NVIDIA, and you did a paper. We loved it. you presented it as well, so thank you for doing that.Ethan [00:00:23]: I've actually, I also presented the MoEs twice at latent space.Swyx [00:00:29]: How did you actually hear about us? Did we reach out to you? Is that how it worked?Ethan [00:00:33]: No, actually, I-- the community. Like I realized, oh, there is this online community that people talk about AI and also learn from each other through papers every week through the Paperclip. It's very nice.Ethan [00:00:49]: I learned a lot.Swyx [00:00:49]: I think three years stop. We haven't stopped even on Christmas and New Years. many weeks I want to stop but it keeps going.Vibhu [00:00:58]: No, that was good. I think you had posted that you worked on a paper, and I was “Oh, very cool. We have Paperclip. Present then.”Vibhu [00:01:04]: But I might have reached out to you after.Swyx [00:01:05]: you-- because it's an amateur club, right?Swyx [00:01:08]: so it's very unusual and but we have sometimes paper authors come by and actually explain the paper. Today we just did, the poolside paper, which was apparently very good.Vibhu [00:01:18]: Came out yesterday.Vibhu [00:01:19]: pretty interesting, right? Fully open. They talk about everything, systems. So it's a good one. We'll, we'll recommend people to read it.Swyx [00:01:25]: Bring us up to speed on your transition to xAI, ‘cause I actually don't even know when you joined. just like tell the, tell the story about the sort of transition.From NVIDIA Cosmos to xAI: Scaling Video and World ModelsEthan [00:01:34]: Before xAI, I was working on Kosmos world model as in-- at NVIDIA. So Kosmos is, it's a giant video foundation models that can-- that aims to simulate the world and for-- it serves as a foundation of-- for all of the roboticists to build on top of. There, once I built the Kosmos one, I realized as this thing also has a scaling law similar to language model, we need to scale up the video models further. that's, that's why I realized I need to move to somewhere with much more compute resources. That's how ISwyx [00:02:13]: Than NVIDIA?Vibhu [00:02:14]: The GPU rich came themselves.Vibhu [00:02:19]: And timeline-wise, when was Kosmo? It was pretty early, right? It was open world model, open paper, everything.Ethan [00:02:25]: It was end of twenty-four.Vibhu [00:02:28]: End of twenty-four.Ethan [00:02:30]: Then at mid twenty-five, I moved to xAI. At that time-- I joined about the time when xAI was about to build video models and in multi-model models. There were no infra, no data, and no model, and it just-- as a few engineers, we built it in three months and released the first model, Grok Imagine zero point nine.Ethan [00:02:55]: And since then, I keep working on video models and move more from training and to post-training of the video models. For example, like a reference to videos, kind of like the cameo feature and, video extensions. And, before I left, I worked on a world model, leading a small team to focus on the real-time long horizon video generation.Building Grok Imagine From Scratch in Three MonthsSwyx [00:03:24]: Can you give like a rough roadmap of okay, you're on a brand-new team. Grok previously was only text, or they partnered with BFL for their image gen stuff. What do you-- what are the building blocks, right? You have compute, data you can procure somewhere. Like just what are like the sequence of things that people should think about when you're setting up a new team?Vibhu [00:03:43]: actually even deeper, not just data you can procure. You guys had to go through getting the data too, right? So you shipped it pretty fast, but yeahSwyx [00:03:51]: three months is likeVibhu [00:03:52]: From everythingSwyx [00:03:52]: actually like very surprisingly fast.Ethan [00:03:55]: One thing I say like thanks to my experience at NVIDIA, ‘cause first time when we were building Kosmos together, we built it, for about a year. So this is like the second time I do it. Roughly have an idea, what to do. I say the most important thing is the talent. Everyone were very strong and clever, very close with each other towards a common goal. So that speed up things a lot. So you reduce the communication bandwidth among people, and everyone can work towards the same goal. It's, it's like every day there's not that much meetings on the calendar, like maybe like a, like a sync a day, and after that it's, it's just all building. It was pretty fun at that time.Ethan [00:04:47]: And another thing is that xAI has very strong foundations of like data inference, model inference, and the supporting there can help the model develop a lot. When I look at, training models, I don't so actually the top important thing is like how many, how many iterations can you do, per day? and the more iteration can you do, you can, you can train the model much faster. So if you have very strong infra and you have a lot of compute, you can, you can train these models in very short period of time. That can give you a much larger buffer to, for errors, and it also gives you the opportunity to spot more bugs.Iteration Speed, Compute, and Debugging Model PipelinesSwyx [00:05:46]: What is an iteration? Is it like a few hundred steps or what are youEthan [00:05:50]: Let's say just the train-training the model, like from acquire new data and maybe design new algorithms and train a new model, maybe at smaller scale orSwyx [00:06:01]: So cycle time for like any hyperparam that you're searching.Ethan [00:06:04]: Cycle time and tune to like eval this model. Is this model better than my previous iteration?Ethan [00:06:11]: SoSwyx [00:06:11]: So it's like before you, someone had already set this up that you can iterate very quickly.Ethan [00:06:15]: I think the foundation there is extremely good forDeveloping and research models.Ethan [00:06:23]: And often I find is it-- this is kind of boring, but like a lot of the improvements does not come from new algorithms. It comes from finding small bugs here and there in the data pipeline, in the, in the model training pipeline. Those give, those give the biggest boost to the model quality.Vibhu [00:06:46]: It's interesting, right? So you say it's like small team, less communication bandwidth, but also a lot of quality is like find little bugs. It seems counterintuitive, right? You have a lot of people, you can iron out more of those, but it's interesting to see the other side, right?Swyx [00:07:00]: I also wonder, have you-- do you try using LLMs to look for bugs? I don't know.Ethan [00:07:05]: I remember at that time it was mid two thousand and twenty-five, so it's the coding model wasn't quite there yet. I remem- I remember like December two thousand and twenty-five, it was extremely good. Yeah, I've been, I've been using it at that time. It's, it's helpful. sometimes it produce codes that are kind of difficult to maintain, even though like the first time it built something extremely fast. But it gave the, like a spaghetti code, thousands of lines that I couldn't maintain, and the LLM itself couldn't figure out what's, what's wrong and how to improve on top of it. But now I find it much better. Yeah, I want to bring up another point here is now coding models are much more efficient and can help us implement stuff much faster. Compute might become a bottleneck again because previously, like if you want to train a new model, say you want to generate new synthetic data and then or write a new algorithm, it might take a few weeks. And during that period of time, you don't-- you might not have experiments to run. But now you can build that thing within a few hours, then you can immediately train a model.Ethan [00:08:24]: Now you have to have enough compute to try all of the ideas. So compute might be the bottleneck of iterating speed again.Swyx [00:08:36]: yeah, I actually, honestly, I think it's like kind of a stressful job because you're “Well, I should be trying everything, and if I'm not, then I'm not doing my job well.”Vibhu [00:08:48]: there's also the stress of you're eating thousands of GPUs per hour, which is very expensive and, compute can go to other researchers.Swyx [00:08:56]: You got the daddy Elon toVibhu [00:08:57]: You got daddy Elon.Ethan [00:08:59]: It wasVibhu [00:09:00]: But there's still finite amount of compute, like you want to use it, you want to use it well, you want more of it.Ethan [00:09:06]: That was quite stressful indeed. Yeah, I think one thing is the-- with coding models now, like a lot of these jobs can be automated, which is much better. A second, it's a, it's a marathon, so you got to maintain good health and, a regular schedule.Vibhu [00:09:28]: It's, it's hard to hear that when you shift from zero to nothing in two months.Swyx [00:09:32]: and, I think obviously the culture at xAI is very famously, people work very hard. one thing I did want to dive into, in our-- in the notes that you, that you sent ahead of time, you had specific comments about the cost of Video Gen training. presumably this is on the Colossus-1, right? the two hundred megawatt cluster. Any whatever you want to just share on that.Vibhu [00:09:54]: I think there's, there's three things we're talking about, right? So there's Video Gen, there's also the Image Gen model that you put out. Do you want to like complete the, okay, so zero to one, you have a few months. Just what are the stages of create Image Gen model?Swyx [00:10:06]: Oh, yeah, maybe I got distracted.How Image and Video Models Are Trained: Synthetic Captions, Tokenizers, and VAEsVibhu [00:10:07]: Sorry. and then, from there's Video Gen, there's Audio Gen. Would love to get into those next. But what is that first few months like? So small team, a lot of bugs, iterations, but what does it look like? Do we take something off the shelf? Do we just get data compute? What's, what's the few months like? How do you go to state-art Image Gen model? How do you just start?Ethan [00:10:28]: I cannot comment specifically how xAI did, but it's, it's a quite standard process. I can draw some, examples from Cosmos. So mainly it's building a video model, you actually need to build a image model first. And building these two models, the data you need is a hundred percent synthetic pair of language and image or language to video. Because on the, on the internet, actually, the videos don't naturally associate with text. So you can say, oh, like on YouTube, you have the title and you have the description and the commentsSwyx [00:11:11]: TitleEthan [00:11:11]: of a video, but usually they're not relevant to the video itself. And say maybe like the video is a natural scene of mountains or something, and the title is, I'm so happy today.Ethan [00:11:26]: So they have they have no correlation at all. So the first step is to, you have to generate synthetic pair of language with the videos. So you gather videos from the internet, and you use a VLM to caption the videos. So that part, here's a question, like how do you, how do you gather VLM to begin with? So if there's noSwyx [00:11:55]: You, so you fuse the model, right? LikeEthan [00:11:57]: Say if there's no like VLM exists, like how do you generate the text to the beginning, right? It's, it's impossible.Swyx [00:12:04]: I see.Ethan [00:12:05]: In the beginning, it's like you ask human to describe the video as detailed as possible.For example, you ask them to describe everything, like all objects, all characters, and all interaction and dialogues in the, in the videos. So that's in the protocol of Cosmos labeling. We require the objective we give to the labelers was that you have to describe the video as detailed as possible, such that a blind person hears a blob of text can reconstruct what the video is like from their head.Swyx [00:12:43]: Video or image? You're talking about images.Ethan [00:12:44]: Video or image, either one of them.Vibhu [00:12:47]: This was pretty common when we went from clip and DALL-E, right?Vibhu [00:12:51]: It's all training on really detailed captioning of images. So same is applied to video, but insteadEthan [00:12:57]: same appliedVibhu [00:12:57]: of using multimodal model to pass in video images and write rich descriptions, you can alsoSwyx [00:13:04]: I think there's this traditional perspective of supervised, or, very highly human curated thing. I feel like there's a unlock with unsupervised, right? Where like you have enough to bootstrap that you can just throw common corpus on it or, whatever. like unsupervised vision and language pairing, right? Like where you just have, interspersed image and text and it just learns. To me, that is the VLM breakthrough that is different from the clip, different from the LM era.Ethan [00:13:36]: It's interesting to see that you kind of need both data.Ethan [00:13:41]: For example, for theSwyx [00:13:41]: You need it to bootstrap it up. YeahEthan [00:13:43]: for the generative model training, there's also usually like a small percentage of unlabeled data. So the model is instructed to generate a video without any text instruction. That can also help the model generalize. So after this stage of generative synthetic pair, so, one important common step is to train a compressor or a tokenizer of the image or videos. So because, if you train-- If you can technically, theoretically train image or video models on pure pixels, but the problem is that the, it's, it's a lot of tokens. So like one image, it's, a thousand by a thousand, it's like one million tokens, one million pixels. It's impossible to train transformer on that. So it's, you need to train a tokenizer, which can go from image to latent space and latent space back to image.Swyx [00:14:45]: That's why we named the podcast.Swyx [00:14:48]: But, basically, you're talking about vocabulary science.Ethan [00:14:50]: so vocab.Swyx [00:14:51]: And so, what is, what is imp-- like a million is impossible?Ethan [00:14:54]: In generative models, the vocab is continuous. It's a continuous space. We can think about like you map an image to a vector. It's a, it's a fixed length vector. It's sixteen or forty-eight, something like that. And then you map that vector back to the image space. And the mapping is, has-- The mapping is patch-based. So you say you haveEthan [00:15:22]: a sixteen by sixteen patch and you match, you map that patch of pixels into this latent space.Swyx [00:15:29]: We've covered thisVibhu [00:15:30]: This is like the vision transformersSwyx [00:15:32]: VAEs,Ethan [00:15:33]: VAEs.Vibhu [00:15:34]: You basically compress your input, you do your generation, you're reasoning all that generation in smaller dimension, and then you project back out.Swyx [00:15:43]: VAE is a form compression, but I think the for me, the patching thing is from VIT, right?Ethan [00:15:48]: You can make those.Swyx [00:15:49]: Literally the, yeah, the paper is titled like sixteen by sixteen is all you need. something like that. and then I think also, people make a lot of comparisons with this kind of patching with convolutions.Swyx [00:16:02]: Which is you're, you're kind of re- reconstructing the old paradigm with the new.Ethan [00:16:05]: Actually, in VAEs, there are, there are both convolution networks and transformers. You can actually do both.Ethan [00:16:14]: After this VAE, so what you've got is you've got latent space tokens and you've got the language tokens. So now the training of the diffusion transformer, usually generative models use diffusion transformers. It is actually quite standard. It's, it's very similar to how you train a language transformer models. It's not that much difference. It's just the tokens, the visual tokens in, visual tokens out. The only difference is there's a denoising process. So you train the model to unmask some of the noise. So you add, you add random noise to the visual tokens, and then you train the model to remove those noise to generate the clean tokens. Any inference, the model can iteratively remove noise from a hundred percent noise.Swyx [00:17:12]: And then there's also, to speed things along on the tech tree of diffusion, there's CFG, and then there's, there's also, latent diffusion that, there's, there's someone in there. I think, somewhere along the line, obviously, like stability and all these other guys, pioneered a lot of this, architecture. I don't know if you want to get into that or just, or do the video side up to you.Bootstrapping Video from Image Models and Temporal CompressionEthan [00:17:37]: After you train such model, such image model, the reason it's a, it's a foundation for video models is that image models are cheaper to train, and they have much denser connection between language and text. So, sorry, language and images. For example, you train a billion, you train on a billion images, and there's a mapping from the text to the image. And the cost to train the same, like the, a billion, a billion text to a billion videos, that's much more expensive because videosNaturally have more tokens than images. Because the diffusion models, their understanding of, language purely come from this mapping. So if you don't have enough mapping, so if you only train on like a ten million videos or something, there-- you might not see enough language tokens in your training, so your model does not understand human intention enough. So that's why you really-- you train-- you first train this image diffusion models, and then you bootstrap the video model from there.Swyx [00:18:53]: One thing I did want to ask, because I-- actually, I think you're, you're the first per-- video model person I've ever talked to, I think. we've, we've like talked to Luma and all those folks. There's all these tricks in video compression where basically frame by frame there's not that much difference, so actually you don't have to regenerate or save the whole frame, right? but I think MP4 compression or something else like that.Swyx [00:19:16]: is it tempting to use that? Or as far as I can tell, everyone just treats it as, “No, we would just generate every frame.” Is that roughly the state-art?Ethan [00:19:27]: There are a few different approaches. Let's say first, like you want to just directly use MP4 compression and use that as the tokens for the transformers to train, right? So people actually have tried that, but the main challenge is the latent space for the MP4 tokens were not, were not very comprehensible for the models. It's, it's extremely hard to train on that. And there's aEthan [00:20:01]: So that's why they created VAEs, which creates more continuous, latent space, so the models can understand that latent space and learn from it much easier. Even within the VAEs, there are different difficulties of the latent space. So you can imagine something the simplest, the most naive VAE is like you have an image, and you just shuffle all of the images into a, into a vector. So you don't need to train any VAEs, right? But that latent space is extremely hard for models to train on top of. That's why there are some debate on like how do you compress the tokens. So you mentioned like you can compress frame by frame. Also, you can compress, the temporal dimension.Ethan [00:20:52]: The difference is if you compress the temporal dimension, you get a much higher compression rate. Because there's temporal redundancy between frames, because, this frame and the last frame, likely they are mostly similar, so there's only some small difference. for example, I think in 12.1 VAE, they have like a eight by eight by four compression rate. So the four temporal tokens are compressed into one tokens. That can save a lot of, save a lot of the context length. If you do it frame by frame, you have to do maybe like eight by eight by one. Your context length will be four times larger. That being said, the benefit of the frame-- per frame compression, we might come back to this later, is, real-timeness and interactivity. ‘Cause if you, if you strain the output of the model, frame by frame, you can-- the model can respond to any user request immediately. So if you have like a temporal four compression, four times compression, thenSwyx [00:22:06]: It might be laggyEthan [00:22:07]: there's a lag there in nature.Swyx [00:22:10]: So you're very pilled on this. let's just go ahead and bring it up ‘cause we have the visual prepared anyway. There's some frontier applications of real-time video gen. So Flipbook is one of the examples that went viral recently, right? What is Flipbook?Real-Time Generative UI: Flipbook, Neural OS, and Diffusion Front EndsEthan [00:22:23]: Flipbook is kind of like a web brow- web browser. You can see like it has the web bro- browser UI on top. The difference is all of the UIs are generated by generative image model in real time, and anything here are fake. But you can, you can explore inside this wor- this imaginary world. Say like we-- here we have engineering the Great Pyramid. Like the model generates this for us to understand how it works, and if we want to navigate around and understand further, we can click on some of the, some of the description here, and the model will generate a new page, new subpage describing the details we want to know about.Swyx [00:23:14]: So it's basically kind of we're playing a video, but it's pausing for our next interaction, and then it just plays the next thing based on our interaction.Swyx [00:23:23]: Which is kind of cool.Vibhu [00:23:25]: and you kind of decide your story. So this was, how do you make a pyramid? levering technique seemed interesting, right? It shows how do you take Okay, I want to know what is thisSwyx [00:23:35]: The demo, the demo tweet had more animation between frames.Vibhu [00:23:38]: I think it's just skipping,Swyx [00:23:39]: Oh, it's just skipping a lot of frames.Ethan [00:23:40]: they also have a video modeVibhu [00:23:42]: It takes a lot. There's a lot of peopleEthan [00:23:42]: but, a lot of people are using it.Ethan [00:23:45]: So it's not available.Vibhu [00:23:46]: There's a live video stream. We can try,Swyx [00:23:50]: So this is an example of the kind of future that you see at the extreme. We don't-- we're obviously not in it today.Swyx [00:23:56]: But in a world where inference is completely free this is better than generating code and text?Ethan [00:24:02]: So this is, this is a final state of where Viva will be at for word model, I think. Imagine internet doesn't exist, and then you type in google.com. Like what should, what should, what should a model show you?the model can imagine something, and this is what the model imagine. And these web pages, they completely do not exist. So I think as the inference costs come down, we are going to have generative UI for everything. If you think about how the coding model works, so they write code for a web page, and they render the code might be con- converted into binary, and the binary render the pixels on the screen. So we in machine learning, every time we have some breakthrough, obviously it's, it's more intuit. So why don't we have like user instruction to the pixel directly? So the generative UI will be user intention to the pixels directly. And say like even if I want email, let's say everyone have the same interface, but I want, I want it slightly different. I want the email to show to me like a TikTok, so I can swipe left and right for the emails. And or maybe you want something else. We can have completely different things. Or like I have I'm looking at, Instagram stories, and I don't like the Like button. I always may click it. And, generative UI resolved it. So it's going to be a revolutionary replacement of the interface. So in the future, we might have much more powerfulEthan [00:25:50]: LLMs and coding models running behind the scene. And in the, in the front-end, the diffusion model will actually be the front-end to show stuff to you. That's how I imagine it.Swyx [00:26:02]: Diffusion front-end, deterministic back-end.Swyx [00:26:04]: Something like that. I find that very expensive, but,Vibhu [00:26:08]: I find it interesting you called LLMs writing code on the back end deterministic, but okay.Swyx [00:26:14]: you write it onceVibhu [00:26:15]: Compare it toSwyx [00:26:16]: And then you execute.Ethan [00:26:17]: If you think about the cost, say, let's say H100 costs $1 per hour, and if you use this eight hours a day and thirty days, so, every month you're paying this two forty, you'll actually not wanna pay for that. That's even more expensive than Cloud Code Max. But if you think about the compute costs come down like two times every year, and I think the future will likely arrive like within few years.Vibhu [00:26:49]: It's everything, right? compute cost comes down, compute gets faster, model gets smarterEthan [00:26:54]: More efficientVibhu [00:26:54]: model gets smaller.Swyx [00:26:55]: I don't know why you say two times, ‘cause I think it's like 100 times. In language models, it is roughly one hundred to a thousand times every twelve to eighteen months, for the same given level of LMSys, ELO.Vibhu [00:27:08]: That's a net of everything, right? That's model performance alongside compute. So different than just compute costs come down. But, a very interesting future.Swyx [00:27:19]: So the web designers will have to shout out that accessibility is an issue, right? how do you deal with screen readers or whatever. But yes, this is higher bandwidth storytelling than anything you can possibly generate with code, right? So I think that's the rough idea.Ethan [00:27:34]: And I'd like to add a little bit that so human naturally have the maximum bandwidth when we are looking at things, look at videos, and we also have maximum output bandwidth when we are talking. So in the future, it might be something like we talk to AI models, and the AI model responds back with a generative UI. So that would be the maximum input and output bandwidth to interact with AI models before neural link happens.Vibhu [00:28:06]: And it's also very custom, right? Some people are very visual, some people are not as visual, right? They prefer the text. But the best thing about generative UI, right, it can also be text.Swyx [00:28:17]: There's another project that we wanted to highlight, which is the Neural OS. Kinda similar idea, but here you're literally operating, simulating an operating system with a video model.Swyx [00:28:27]: and you can play Doom, you can do Firefox. I find this like mildly less impressive, obviously, because it's an OS that I can run.Swyx [00:28:37]: But here everything is imagined.Vibhu [00:28:40]: I was, used to the Command+W to close the Firefox tab. It didn't crash. That's why I saidSwyx [00:28:45]: It's too immersive.Vibhu [00:28:46]: It's, it's too immersive for me.Swyx [00:28:47]: Too immersive.Vibhu [00:28:48]: I wanted to close the tab.Vibhu [00:28:49]: But yes, I can play generated diffusion.Swyx [00:28:51]: this is shockingly fast.Swyx [00:28:54]: Because I remember there was a demo about like maybe one to two years ago. Someone tried to do the first-person shooter with a image model. There was no consistency. It was very slow. But here it looks like realistically it's-- this is Doom.Vibhu [00:29:07]: I think there's two sides to that, right? There's okay, what is running a game? The heavy part of it is actually the game engine, all the lighting, all that stuff, the graphics. This is just kind of video, right? Like we've solved consistency. This is still, it looks like a few years old image generation. There's some temporal consistency, but it's, it's kind of just images stitched together as frame video. But it's a good visual representation to pi- to picture the future you wanna see, right? that's, that's what I see in these more so.Ethan [00:29:38]: This reminds me of how the video models gets better and better. So Neural OS is kinda if you just look at it feels like it's just a crappy version of the, like the Windows we could have, right? And, but the difference is, so the model, this model is overfitted on the existing operating systems. It can generate nothing different than that. But it's actually also similar to video models. So when we are training these video model, image model, we train them on internet. There's no imaginary supernatural stuff on the internet. But once we train this model, you can prompt the model to generate something supernatural that have never existed in the data set. So if you train your Neural OS or neural computer on the standard screen recordings on the entire internet. The model can imagine completely new interface to interact with the computer.Swyx [00:30:43]: This is one of those things that is magical to me. usually generalizing out of distribution is bad, but somehow we have learned some kind of internal world model that you say, this plus, but it looks like rainbows and butterflies, it'll do it and it will kind of make sense.Swyx [00:31:03]: So yeah, that's kind of cool. Yeah, I don't know if there's any comment more on there. I do, I do wanted to, I did wanted to touch a little bit more on the model architecture stuff, which I think you were getting. It's, really fascinating. We don't get a chance to talk about this enough. So one of the papers that we covered, we've covered every annual, segment anything release. and I don't know if you follow-- you're a computer vision guy, so youEthan [00:31:26]: I knowSwyx [00:31:27]: . So they did memory attention, which is kind of interesting. And I always think, anything where you can, across the temporal dimension, keep some consistency, I think it's, very fascinating, and I don't know if Basically, does that-- the CV side bleeding into video gen side, I think is underexplored, right? we talk about it for labeling, but actually you can borrow the architecture itself.Ethan [00:31:50]: There's, there's also complete different approaches, right? you brought up the term world model, so we went from video model to world model. There is diffusion, but there's also other approaches that people are doing. So maybe we get into those after as well,?Swyx [00:32:03]: He has a whole definition of world models and stuff. I feel like we threw a lot at you. Whatever you want to comment on.Why Video Models Are Expensive: Storage, I/O, and Training ScaleEthan [00:32:10]: I think one thing that we should actually comment back on is okay, so we were talking about the steps to train image gen to video model. One thing we don't see as much of is okay, you brought up the delta in training data, right? SoEthan [00:32:24]: you won't have as much a video model might not generalize, but what is the cost of training a large video model? So we know for LLMs roughly, okay, even like the poolside thing that came out today, right? It's a Gemma level model trained on roughly forty trillion tokens at this many H200s over this much time, right? You can see what is the exact cost of that. So how many GPU hours over how much H200 costs? So how do we do the back-end math of, same thing for video models, image models. How do you, how do you kind of break that down? I can share some back-envelope calculation. So surprisingly, video models is-- the cost is very-- is comparable to language models and obviously the largest scale is language model, maybe like a medium scale to language models. I said just storing the videos alone, it costs a lot. You can, you can maybe look up on AWS or something.Ethan [00:33:20]: You really, say if you have a billion videos and let's say, let's just say like each video, like five megabyte, then you need five petabyte to just store those videos. And also remember we talk about you use a VAE to compress the videos, and you also need to store, typically you need to store those continuous feature, in-- also in your storage. That's also comparable size with the videos themselves. So just storing these videos and the features is tens of petabytes alone. And,Swyx [00:33:58]: I just, I just looked up the calculation. Five petabytes on S3 Standard is one hundred K per month.Ethan [00:34:05]: AndSwyx [00:34:05]: It's comparableEthan [00:34:05]: and you needSwyx [00:34:06]: AndEthan [00:34:06]: And then like tens of petabytes, two hundred K. And even more expensive is you have the ingress and egress.Swyx [00:34:13]: Oh, yeah.Ethan [00:34:14]: Like you-- through the internet. You have to just to download those videos, I believe it's, it's more expensive on AWS than just storing those videos.Swyx [00:34:25]: Storing, yeah.Ethan [00:34:25]: And each training runs, you probably need to pull them once. If you train multiple times, it's, it's even more than that. So it's like just storing the network, those costs is just, it would be a few, a few millions per month to just storing everything, not to mention the GPU cost.Ethan [00:34:45]: AndSwyx [00:34:45]: my side tangent, the compute rental, like GPU rental is very efficient. There's one side, okay, you can be XAI and build your data center. Should we not just build our, storage compute as well? LikeEthan [00:34:57]: Of courseSwyx [00:34:57]: cloud cost compared to just,Ethan [00:34:59]: You save so muchSwyx [00:35:00]: store. Yeah, exactly.Swyx [00:35:01]: Especially with like egress and stuff. So.Ethan [00:35:04]: That's a good idea, but it also comes to-- there are some of its own challenges.Swyx [00:35:09]: Of course, of course.Ethan [00:35:10]: like people who build the GPU data centers, they might not expect this much, storage. And yeah, people build storage, typically they just build it somewhere with just CPUs.Swyx [00:35:23]: I just looked it up. Five-- AWS only charges for egress, not ingress. Tier five for five petabytes is two hundred and thirty K.Ethan [00:35:32]: Even more expensive than the storage.Swyx [00:35:34]: But storing is per month, right? You check in, then you cannot check out. so it's so cool. It's okay. So there's that side.Ethan [00:35:41]: So the TLDR, my backhand mathSwyx [00:35:42]: Data is larger than you think. Yes.Ethan [00:35:44]: my backhand math of GPU hours times GPU cost is also very much, I'm missing some storage.Swyx [00:35:49]: You're also-- you're basically like also more IO bound than normal training.Swyx [00:35:55]: Yes. ‘Cause like data loading, so caching everything, it becomes super important.Ethan [00:36:00]: So in Cosmos, we did a lot of optimizations to make it not IO bound. So, speaking of the training, actually training the model, the GPU cost, if you look up like the open source model, how big these video models are, I think like LTX has nineteen B parameters. That's a dense model. And people are also exploring, MoEs, so it might be twenty B active and, like a hun- hundreds B, total. So that's, that's even-- that's similar size as medium-sized LLM models. And if you, if you look at number of tokens-Uh, we disclose that in Cosmos. It's also like tens of trillions of tokens on the visual tokens. So putting this together, the cost of, training these video models, it's actually comparable with LLMs. Not to mention, the infra is slightly different from LLM, so it might be less efficient to train these models.Inference Speedups: Step Distillation, Consistency Models, and GANsSwyx [00:37:04]: Do you get the benefits of traditional diffusion speed-up? So for, images, there's LCM, LoRAs for, fine-tuning. There's, there's a lot of stuff that's beenEthan [00:37:15]: Flow matching.Swyx [00:37:16]: there's flow matching. There's a lot of stuff that's been done. there's some overlap that applies to diffusion on the inference side and stuff or?Ethan [00:37:23]: so the difference-- the inference side is a completely different story.Ethan [00:37:28]: I think for the training side, it might be a little bit hard to reduce that cost. And for the inference side, the biggest gain is from the distillation of these models. You can-- It's called step distillation, slightly different from knowledge distillation in LLMs. So you-- Typically, for flow matching models, you need like 100 steps or something. Like a distortion model even need even more, like 1,000 steps to generate a good image or video. A step distillation is try to learn to generate fewer step from the model itself. It's kind of like now we-- you use the full model to generate in 100 steps, and then you take a model that only generate 10 steps and let that model to learn from the perfect one.Ethan [00:38:25]: why this workSwyx [00:38:27]: Strong to weak seemingly.Ethan [00:38:28]: It is. It's kind ofSwyx [00:38:29]: DistillationEthan [00:38:29]: kind of like strong to weak. the-- from the modeling perspective, the strong model, the teacher model is trying to model the image and videos of inter-internet, and that distribution is extremely complex. But the step distilled model is just trying to learn from the teacher. The teacher is a model, and the size is fixed, as the distribution is much simpler than the whole internet. That's the intuition I have why step distillation can work. So usually these models serve in productions, they only run in a few steps. In Cosmos, I believe we have, we have like four step and eight steps. If you do some simpler task, image-image translation, it can even run in fewer step, like one step in Cosmos Transfer.Swyx [00:39:22]: I think this is the same intuition that guides a lot of the consistency model work. I sent you a link for, SCM. I don't know if you covered that. To me, that was actually one of, the most impressive papers I've ever seen from OpenAI.Swyx [00:39:34]: That this is the unifying grand concept of consistency models. I don't know if you have any comments on this.Ethan [00:39:41]: So there are, there are a few different approaches,Swyx [00:39:46]: Oh, yeah. Here it is.Swyx [00:39:47]: Two steps versus twenty or 100 steps, whatever. It's already done.Ethan [00:39:52]: So there are, there are a few different approaches, for example, consistency model, and there are also Actually, we shouldn't forget GAN. So GAN, actually, that was, that was the OG ofSwyx [00:40:05]: OGEthan [00:40:05]: step distillation ‘cause it trained just one step to begin with. So actually, a lot of, uh-- For example, there's a distribution matching distillation which use, which uses GAN, as one of the laws for distillation. It-- GAN just tells you, “Hey, generate an image,” and thenEthan [00:40:31]: it has a discriminator to tell, is this image real or not? So the model, the model just need to learn one of the distribution, not the full distribution. Because in training, the model is asked to reconstruct the ground truth image from the internet, which is extremely hard. And in-- When you're training GAN, it's a step process. It's just a, “Hey, you generate image. Does this image look as real as the image from the internet?” Which is a much simpler task. And, yeah, combining a lot of these approaches together, people typically do that, like consistency model and distribution matching and GAN, and we can get these few step models.Audio-Video Generation and Time AlignmentSwyx [00:41:21]: Then there's one step I wanted to add, which is audio and video.Ethan [00:41:26]: So, Grok Imagine zero point nine, I believe it's, it's a first audio video transmodel deployed at a large scale. SoSwyx [00:41:39]: And that was your first model?Ethan [00:41:40]: that was, Grok Imagine's first model. It's, it's audio video, joint generation. I think the hard part is, the modality alignment, ‘cause before this transmodel, we have, we have text to video alignment. We have this, correspondence between text and video. Typically, most of the VLMs, they understand images and videos. Video's very rare, and they don't understand audio mostly. And if you look at the audio generation on the LLM side, you can talk to them perfectly fine, but if you ask them to sing a song or something, it typically is not very good. Also, they don't have, they don't have music either. The hard part is thatUh, actually audio has two component. It has like a discrete component, a continuous component. The discrete component is like the language.Ethan [00:42:44]: So when we speak, it's just, someSwyx [00:42:47]: It's an ASR issue, yeah.Ethan [00:42:49]: It's, it's text token with some characteristics, I would say.Ethan [00:42:54]: But musicSwyx [00:42:56]: I think the speech guys would disagree with this.Swyx [00:42:57]: Like disfluencies and then,Vibhu [00:43:00]: There's tones you can get angry.Ethan [00:43:01]: Well, I say largely.Ethan [00:43:03]: the mu- but the music is completely different. It's, it's very continuous, and you cannot model them like discrete tokens in language models. this is like the hard part for models is, not to mention we have to align text, video, and audio together.Ethan [00:43:26]: SoVibhu [00:43:26]: How?Ethan [00:43:28]: So significant-- some significant challenges are like-- So first, like we talk about as the VLMs, they cannot understand most of them cannot understand audio.Ethan [00:43:39]: So you have to have some way to do the synthetic data generation for audio. You have to caption the model, and that involve, that involve synthetic data and human data effort a lot. And not just surprisingly, most of the LLMs are very bad at recognizing, like the beat, tone, and the details of the of music. They can, they can give some general prediction of which song is this, but it's very hard to describe the details of the music. like we mentioned in image generation, like you have to describe image as detailed as possible so that someone blind can reconstruct that. So here is like someoneVibhu [00:44:32]: DeafEthan [00:44:32]: someone deaf can reconstruct how the music sounds like without actually listening to it. Maybe you can think of it need to have the-- or they call the script.Vibhu [00:44:49]: Subtitles, yeah.Ethan [00:44:49]: You gotta have all the details of the music, and the dialogue.Vibhu [00:44:55]: So is the challenge there typically stuff like music and audio, or is it just Like is there a baseline? Okay, there's enough data where we can understand, narration, conversation, but there's nuances in audio that's where you hit all the data issues or is it just from stage zero, you just do it all right?Ethan [00:45:15]: So one important thing is like the alignment. So the model, the model has to know like the video and audio, the, uh-- it has to have a time-based alignment, like at which time step the video and the audio token correspond to each other. But we actually don't have this kind of alignment for most of the other modalities. If you think about like text and image, text and video, they are loosely aligned. So you can, you can have a description of what's going on in the video, but you don't have to exactly, You typically don't have exact description, oh, at, time step one second like what happened?Vibhu [00:46:02]: It's veryEthan [00:46:03]: At time step two second what happenedVibhu [00:46:03]: coarse. Yeah.Swyx [00:46:05]: So what was the ideal time step? You have to oblate it, and then it's like four seconds or something.Ethan [00:46:09]: So that comes down to how you design the model to, for the model to be aware of as a time, as a time modality. So the model is like a time aware. And that's something pretty unique if you think about LLMs. So if you ask LLM to complete a task, say they, uh-- you ask them and they will say, “Oh, this task will probably take twelve hours to complete,” and they come back in one hour. Say “I've already spent two days on this and I've exhausted everything.”Ethan [00:46:47]: So the LLMs them-themselves, they don't have a sense of time there.Vibhu [00:46:53]: I actually don't think that's just them not having a sense of time. I think it's somewhat based, right?Vibhu [00:46:58]: Like you tell someone, “Okay, go work on this feature. Go implement this,” there's a general understanding you would have of how long that would take without LLMs working at LLM speed, right? So you think back like two years ago, if I tell you to like build me like a new front end for latent space, have a search bar, have all this, you'll estimate that it'll take a few days, right?Vibhu [00:47:19]: So you tell an LLM, “Go build this.” It'll take me a few days. But I think it's somewhat grounded as opposed to them not having the best-- Not saying that they have a great understanding, but I think that example is like you can see where it comes from, right? You're trained on all over the text.Swyx [00:47:35]: They're, they're trying to estimate what a human would say.Vibhu [00:47:37]: because that's what the, that's what the data kind of represents. It's not themEthan [00:47:41]: It came from the corpus on the internet. People have a estimate of how much time.Vibhu [00:47:45]: And not even just in direct like training samples, right? Just your world understanding of tokens of how long stuff takes, right? Go read a book. It'll take you a while, right?Vibhu [00:47:56]: Even if you do nothing but read a book, it takes a few days. So yeah, LLM, I read it took me a few hours.Vibhu [00:48:01]: It'll take me a few hours to go through this research. But this is a tangent.Swyx [00:48:05]: Somewhat, yeah.Swyx [00:48:06]: This is a train of thought I haven't really expressed until now is, which is basically like a full world model must also be recursive, meaning that the participant in the world model must also be aware that they have a world model. which is like this whole recursive thing down the, down the line. but yes, and that the world model can be wrong and that they need to update it and blah. Yeah. We've, argued this on the, newsletter as well, that there needs to be sort of recursive or adversarial world models.World Models: Real-Time, Long-Horizon, Interactive VideoVibhu [00:48:34]: just, to ask, how do you define world model?Swyx [00:48:38]: Oh, yeah, let's go there.Ethan [00:48:40]: SoVibhu [00:48:40]: So just for context, we talked about, video generation, and then there's a-- if you say there's a distinction between world models, what's your, what's your definition? How do you see the two?Ethan [00:48:53]: So disclaimer, I'm not going to debate, what is world model. Yeah. there are many definitions, so I'll just talk about my definition. Since I came from the multi-model, multi-model domain, so mainly talking from video. So world model is like real-time interactive long horizon videos. So there are three parts. so we-- let's talk about them one by one. So the so interaction, so we just, we just look at Facebook and neural computer. So the interaction part of it, so you, world model can allow you to interact with them through keyboard, mouse, and maybe also voice. So these all is-- all is a modality. You can, you can interact with the model, and the model should respond reasonably. Second part is real time. So once you, once, say, you move your mouse, if, say, the world model generate a game, how fast can the game respond? So if you're like professional CS: GO players- -my say, oh, you have to respond- He's beginner within sub ten milliseconds or- Yeah even less. So that's not most of the- No, sixty FPS. Let's go. Oh, three hundred FPS. Oh, five hundred FPS. Wait. okay, yeah. I didn't do the math, but yeah, okay. Uh- Yeah, three hundred FPS, that's a three millisecond. So you have to respond- Oh, s**t. Okay. YeahEthan [00:50:29]: within a millisecond. Most of the video models cannot do that. Yeah. And, but if you, say, if you have a video model that is, say, like a digital human, the response time might be more generous. Maybe typically, for real-time voice interaction, it's like two hundred millisecond. So that's, that's much more generous. But even two hundred millisecond is pretty, it is pretty tricky, ‘cause remember we mentionedEthan [00:51:01]: you have this, temporal compression coming from the VAE. So if you, if you don't compress the temporal dimension, your sequence length is going to explode. So if you want to have this real-time, real-timeness in your model, you have to do is one context problem. And the third part is long horizon, ‘cause we-- if you're not going to just play with, video games just, a few seconds, most video models only a few seconds. We're going to play with minutes, hours. The model have to be able to generate long-form content.Ethan [00:51:42]: So putting these three together, it's, real-time, long horizon interactive videos. I think the final state will be, for example, like a video, a video version of Playbook, where you can, you can interact with, a neural computer. You move your mouse, and you click on the generative interface, and it will reply to you through pixels- generating in real time. But getting there, it's, it's a very long way to get there. So one of the first step, at Grok Imagine, where I led a small world model team there, was to build video extension. So, video extension- it's the first step of interactivity. Yeah. It's, it's the first step. Yeah. So it's the first step- You have it here, video editing, yeah. Yeah. Yeah. So the first step is because, this unlocks long horizon videos. Typically, for most of the video generation models, you give it a prompt or an image as an initial frame. You generate video, that's it. That's just, one time, done. And some creators would try to, use the last frame as a first frame for the second video. It can-- sometimes it works, but if you do it a few times, it says the quality would decrease. And- It doesn't have that context- Yeah over the full video, so the temporal- Yeah, exactly. Yeah, ‘cause you only gave it the last frame, of course, right? Yeah. Exactly. And- it's actually a pretty fun hack. if you've seen like- Oh, no, he's saying something better. Yeah. And for example, like Vue, I remember Vue 3 has like a second context of the last video. It is slightly better than using the last frame, but it has the same problem-- similar problem that it, the quality would decrease. if you extend a few times to, one minute, the video quality would look much worse than the first video. Second, another problem is that the model doesn't have long-range knowledge of, what's happening before. Say, if they generate some dialogue, some, two people speaking, and their voice might change, over some time, especially if the second conditioning, it does not cover the previous context. So these are the core challenges. So the Grok Imagine video extension, it has historical context of all of the previous generated videos. It can, It has, it has the context of, who is speaking and what objects have appeared and everything, having that to generate the next video. So if we naively do this, you can imagine, just, put all of the previous history video tokens into the context. The context lens will easily explode. Especially for video models, that can be like a few, a few million context, I would imagine- context lens. Yes.Yeah.Swyx [00:54:58]: Let's run with that.Ethan [00:54:59]: for example, like in Cosmos, I think just five seconds of video is like a fifty K or sixty K number of tokens. So like if you do, if you do fifty second, that's a five hundred K tokens. If you do longer than that, easily explode. This long horizon, problem was the first step we're trying to solve world model. It turns out people, yeah, people love video extension. Like a lot, a lot of the creators love using video extension to create longer form videos. This is the part I liked that you have a, you have an intermediate step toward the final goal instead of just a straight shot to the final version very much.Swyx [00:55:48]: But I can see you have a strong vision of where we want to end up.Long Context, Redundancy, and Efficient Interactive VideoVibhu [00:55:51]: Does it seem like it's an efficiency issue? okay, we're at a few million tokens context,. If you draw the parallel to language models, we had very short context, two thousand, eight thousand, then, you scale it up one million, ten million. sure, there's effective context, but at the end of the day, it's just what's it worth? sure, there's a whole training data side. In video, it might be slightly easier ‘cause we have a hundred million token video, right? Just take a movie with the full context there. Like is this efficiency from an inference standpoint that like it's expensive, but we know how to solve it? Or like why is this not the approach? So like my broader point was on your second point of world models, you say it needs to be interactive and live, right? You should be able to play a game and see the interaction live. So one thing I see with research is a lot of what you actually serve is different than what you build, right? So we talked about distillation. You train big model, you distill it, you do quantization, speculative decoding. We do all this stuff to serve it efficiently. Should we not just have a solution, like a world model that can interact well, do inference optimization, serve it, distill it secondary, so make it real time after you solve it? So like a-- another parallel is say, continual learning, right? What we need is someone to solve it and show it works inefficiently. Give it a few years, people will make it efficient. Same thing with regular attention, right? It worked. Over a few years, people have different forms of attention, and we've scaled it to be efficient at log context,? So kind of two things there, right? One is it seems like it works. You've scaled it. Can we not just scale it a lot more efficiently over time? Do we need a separate approach if this works? And same thing with interaction, right? if we can get it done, like if we can solve some way that it works, we can solve making it more efficient from an inference standpoint later.Ethan [00:57:53]: that's actually a very good point. So in videos, there's actually a lot of redundancies. So we solve a lot of the pixel redundancy from VE, but there's more redundancy in long range and long horizon videos. Say, if a character appear in the first clip and then it disappeared, it only reappear at the end of the video, you probably don't need the-- the context, like in the middle of the generation. So you only need that character, where you need. So that's why, I helped build another feature. It's a reference video.Vibhu [00:58:36]: Is it here?Swyx [00:58:36]: is it the same model release or different one?Ethan [00:58:39]: It's a different one.Ethan [00:58:41]: You probably need to search onSwyx [00:58:43]: I'll find itEthan [00:58:43]: X reference to video.Ethan [00:58:46]: So reference video allow you to like upload up to seven images as condition and generate the video. Say, if like I want-- it can, it can be characters or objects or even scenes. Say like I want, I want condition on, Sean's selfie and holding a bladeSwyx [00:59:07]: We have a dogEthan [00:59:08]: or whatever.Swyx [00:59:08]: We put the dog in the thing.Ethan [00:59:09]: you can put them there and the video models will generate the video from and copies the context over. So that can solve a lot of the problems there, like the long context problem. It doesn't need to have a very long context, but it's-- I feel like it's an intermediate solution. The modelSwyx [00:59:29]: It's cheating.Ethan [00:59:30]: the model should be able to like selectively know, where should I draw the references. So say if I want to generate a movie, I generate it autoregressive, like a ten second at a time or something. And now this character appear, I can look back to where it first appear and, bring that back. Yeah, this one, I put the references. Yeah, that's, Optimus, Einstein myself, Annie.Vibhu [01:00:02]: Oddly enough, I used Grok Search to find it, and it pulled your LinkedIn post. But yeah we found it.Ethan [01:00:08]: Interesting.Vibhu [01:00:10]: ButxAI's Underrated Work, Culture, and WatermarkingSwyx [01:00:11]: this is a problem. This is not your fault, but like XAI doesn't communicate all this work that you do very well because they just have the model release and then that's it. But actually, these details are very good.Swyx [01:00:22]: As far as I understand, everything you just described is state-art, like no one else has done it.Vibhu [01:00:30]: A lot of-- yeah, I have a lot moreSwyx [01:00:32]: And then, and then you just put this blog post with the cookies. I'm this is not enough,?Swyx [01:00:37]: but I, obviously this is like the high level numbers that people want to know. But no, okay, soVibhu [01:00:42]: And I wonder, like part of that is also some labs don't share research into what happens. And ifSwyx [01:00:50]: No, but this is literally bragging about how good they are, right?Swyx [01:00:54]: Like, why would you not say that you are capable of extending with full context? this is not a secret sauce. This is like we did the work. yeah, I don't know.Ethan [01:01:02]: different labs have slightly different communication styles.Swyx [01:01:07]: Anyway, if anyone from XAI is listening we are always happy to help you tell your story. Yeah, okay, so you did references, and I think, I think kind of the point you're, you're making is it is sort of like a kludge, right? this is-- you can do seven, but what about 100?Swyx [01:01:23]: Right? Then you need a completely different thing.Ethan [01:01:26]: So I think it's-- this is, a mechanism to, select the context from the history, and you might not put the entire history into the context. for example, there's a paper called Frame Pack, which haveEthan [01:01:41]: a heuristic that the latest history, the last one second, I put the entire history, and the history before that, I would, compress it and makes the video smaller. So they follow this pattern, this build overall pattern that the maximum sequence length is fixed. So the further you are from the current frame, you have a smaller image. So this is just a heuristic. I think it can be more automatic. The model is aware like which history part of it can be select. So this part of the research is actually being actively, worked on by a lot of people. It's also quite interesting. I feel this is actually, this part of long context is a little bit ahead of the LLM part.Ethan [01:02:31]: So for example, like in LLMs, if you-- so contexts keep growing. Let's say if you call tool and the tool call history is extremely long, that's still in context, and keep growing, keep growing. Even if you switch the topic to something else, the whole context was there. There are some agentic harnesses that help you to, say, prune the tool results and, prune Like when you, when you query a file, only show like the top 200 lines or something. Those were very heuristic-driven.Swyx [01:03:08]: For listeners, we did a write-up on the cloud code, leak where there are eight different kinds of pruning, including like you prune the tool results and all that. So you can, you can read up on that kind of thing.Ethan [01:03:17]: I think, one breakthrough in continual learning might be like a way to automatically, manage its own context.Swyx [01:03:27]: These are all heuristics, and they will be replaced by machine learning.Ethan [01:03:30]: InterestinglyVibhu [01:03:32]: TheEthan [01:03:32]: the same thing is being researched in both LLMs and video models.Vibhu [01:03:36]: The interesting thing is also like in the paper you showed, it's actually happening at the model level, right? Compared to like language models, sure, we have base attention, but we'll do our own compression, we'll do our own pruning, which is separate from model error.Vibhu [01:03:49]: Eventually, it all just boils in, hopefully.Swyx [01:03:52]: I think this is a form of like attention, but like also know sort of reasoning attention. I feel like that's different than normal attention.Swyx [01:04:03]: Does that, does that make sense?Ethan [01:04:04]: It's, it's different in the sense that attention, not to mention, set sparse attention aside,

Thousands of years ago, Ancient Greek travellers created a list of the most extraordinary sights they encountered: the Seven Wonders of the Ancient World. These included places like the Hanging Gardens of Babylon, the Lighthouse of Alexandria, and the Colossus of Rhodes. Today though, only one still survives: the Great Pyramid of Giza in Egypt. So, in the early 2000s, a huge international campaign called the “New Seven Wonders of the World” aimed to create a modern list of wonders. Some governments launched campaigns encouraging citizens to vote for their country's monument. Critics argued that countries with larger populations had an unfair advantage. And UNESCO, the United Nations organisation responsible for protecting world heritage sites, was not involved in the project. So today, I want to explore the story behind the New Seven Wonders of the World. What are they? Why were they chosen? And do they really deserve the title of “wonder”? And we will do all of this while learning some new vocabulary and practicing your English listening comprehension. Conversation Club - ⁠https://thinkinginenglish.blog/patreon/conversation-clubs/⁠⁠ TRANSCRIPT - https://thinkinginenglish.blog/2026/06/01/390-what-are-the-new-seven-wonders-of-the-world-english-vocabulary-lesson/ AD Free Episode - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/thinkinginenglish⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Patreon - ⁠https://www.patreon.com/thinkinginenglish⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ YouTube Channel -⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@thinkinginenglishpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ INSTAGRAM - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/thinkinginenglishpodcast/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠) $10 Free Credits on iTalki (Affiliate Link) - https://www.italki.com/affshare?ref=af17506448 ⁠⁠⁠⁠⁠⁠⁠ My Editing Software (50 % Discount Affiliate Link) - https://descript.cello.so/BgOK9XOfQdD Borough by Blue Dot Sessions Contact ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠advertising@airwavemedia.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to advertise on Thinking in English. Thinking in English is part of the ⁠⁠⁠⁠⁠Airwave Media podcast network.⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

New Realities with Alan Steinfeld Robert Schoch on the Sphinx, Lost Civilization, Solar Outbursts, and the Lessons of the Ancient Past Alan Steinfeld, author of the #1 Amazon bestseller Making Contact: Preparing for the New Realities of Extraterrestrial Existence, invites you into a world of UFO disclosure, ancient civilizations, consciousness evolution, and our true place in the cosmos. He is the longest-running emcee at Contact in the Desert, the largest UFO conference in the world, and a regular host at major expos across the U.S., Europe, expos at sea, and sacred land tours. Explore interviews, livestreams, and paradigm-shifting insights from leading-edge thinkers, experiencers, and truth-seekers. Read Alan's book: Making Contact https://www.amazon.com/Making-Contact... Connect with Us: Official Website: http://www.newrealities.com Facebook: / alan.steinfeld Instagram: https://www.instagram.com/alan_steinf... Welcome to NewRealities. Alan Steinfeld Welcomes Robert Schoch to New Realities In this episode of New Realities / Portal to Ascension Radio, host Alan Steinfeld welcomes geologist and author Robert Schoch for a wide-ranging conversation about ancient civilization, the Great Sphinx, John Anthony West, solar outbursts, and what the past may reveal about humanity's future. Alan introduces Schoch as a geologist whose work helped bring geological analysis into controversial archaeological questions, especially through his redating of the Great Sphinx. Schoch explains that he teaches at Boston University, holds a PhD from Yale in geology and geophysics, and believes there was an earlier sophisticated cycle of civilization dating back to at least around 10,000 BC. John Anthony West and Symbolist Egypt Alan and Schoch spend significant time discussing the late John Anthony West, whom Schoch describes as both a close friend and research collaborator. Schoch explains that West was not a conventional academic Egyptologist, but had spent decades studying Egypt, astrology, symbolism, and the work of R. A. Schwaller de Lubicz. Together, they discuss the symbolist view of Egypt, which argues that the ancient Egyptians were not primitive animal worshipers, but encoded sophisticated spiritual, philosophical, and symbolic knowledge in their texts, monuments, and religious imagery. Schoch says West often criticized conventional academics for missing the deeper meaning behind Egyptian symbols. Meeting West and First Seeing the Sphinx Schoch recounts how he first met John Anthony West through a faculty member at Boston University who arranged for West to give a talk and then introduced him to Schoch. West had been looking for an open-minded geologist to evaluate whether the Sphinx showed signs of water weathering. Schoch says he was cautious at first and told West that photographs were not enough; he would need to inspect the site in Egypt. In 1990, West invited him to Egypt for a reconnaissance trip, and Schoch says that within seconds of seeing the Sphinx, he recognized weathering patterns that appeared to be caused by rainfall and runoff rather than Nile flooding. Water Weathering and the Recarved Head A major part of the interview centers on Schoch's geological interpretation of the Sphinx. He argues that the body and enclosure show evidence of water weathering from precipitation, which would push the monument's origins back to a much wetter period before the modern Sahara. He also says he immediately noticed that the Sphinx's head was too small for its body and not weathered in the same way, leading him to conclude that the current head was likely recarved from an earlier, more weathered head. Schoch says he believes the original head may have been a lion or lioness, later reshaped into a dynastic human head when the Sphinx was reused or reappropriated. Egypt, Western Civilization, and Ancient Continuity Alan and Schoch also discuss Egypt's influence on later civilizations. They note that Greek philosophers such as Pythagoras and Plato acknowledged learning from Egyptian traditions, and they connect Egyptian symbolism with later religious and cultural forms, including Judaism and Christianity. Schoch and Alan discuss parallels involving Isis, Horus, Osiris, the ark, the altar, the Virgin Mary, and the Christian mass, presenting these connections as part of a larger continuity between Egypt and the foundations of Western civilization. Schoch frames the ancient Egyptian tradition as one that preserved deep symbolic and sacred knowledge, not merely mythology or primitive belief. The End of the Last Ice Age and Solar Catastrophe The conversation then turns to Schoch's theory that a major solar outburst around 9700 BC helped end the last Ice Age and devastated an earlier cycle of civilization. Schoch argues that the Sun became highly active, producing solar eruptions, coronal mass ejections, atmospheric disruption, radiation, vitrification, torrential rains, massive flooding, and rapid climate change. He distinguishes this from comet-impact theories, saying he believes the evidence better fits solar activity. In his view, the Sphinx's water weathering, worldwide flood traditions, and the collapse of earlier civilizations may all connect to this solar-driven catastrophe. Atlantis, Zep Tepi, and Gobekli Tepe Schoch links his Sphinx work with broader questions about lost civilization. He discusses Zep Tepi, the Egyptian “first time,” and says that astronomical and geological evidence may point to a period around 10,500 BC. Alan asks about Atlantis, and Schoch explains that he treats Atlantis less as a single geographic puzzle and more as evidence, through Plato, of a sophisticated civilization or cultural memory that existed before the end of the last Ice Age. Near the close, they also discuss Göbekli Tepe in Turkey, which Schoch says provides independent evidence of sophisticated civilization before 9700 BC and helps answer critics who once asked for another early site comparable in significance to the Sphinx. Solar Risk, Technology, and Modern Vulnerability Alan asks whether a similar solar event could happen again, and Schoch says he believes another major solar outburst is not only possible but inevitable over geological time. Schoch warns that modern technological civilization is extremely vulnerable to coronal mass ejections, solar flares, and electromagnetic effects that could disrupt electrical grids, communication systems, electronics, satellites, cars, pipelines, and nuclear power facilities. He compares the potential danger to the Carrington Event of 1859, which damaged telegraph systems, and says today's dependence on electronics makes modern society far more vulnerable than earlier cultures. Preparing Philosophically, Spiritually, and Practically Schoch says that although governments may be aware of solar risks, ordinary people face difficult practical questions because modern infrastructure is not easily protected. He suggests that going underground or shielding systems beneath rock could help preserve some technology, but acknowledges that society cannot simply move underground. He and Alan discuss the need for communities to think ahead, prepare mentally and spiritually, and consider both practical resilience and philosophical readiness. Schoch says ancient Egypt's concept of sacred science may be important here because it joins science and spirituality rather than separating them. Closing with Ancient Knowledge and Future Questions Toward the end, Alan describes Schoch's work as a bridge between alternative culture and academic research. Schoch says studying the past is not only interesting for its own sake, but may reveal knowledge, warnings, technologies, and spiritual insights left by earlier civilizations. He points again to the Great Pyramid, the Sphinx Temple, and Göbekli Tepe as evidence that ancient people may have possessed both spiritual and technological sophistication beyond what mainstream timelines usually allow. The episode closes with Alan directing listeners to New Realities, Robert Schoch's website, and the Portal to Ascension Conference in Irvine, California, where Schoch plans to speak further about these themes.

Today, we explore the possibilities of there being a UFO under the Great Pyramid of Giza. We'll review different ancient texts, look back at previous excavations, Bob Lazar's UFO claim, and other interesting topics. Welcome to Camp!

George Noory and author Andrew Collins explore his research into the Giza plateau in Egypt, the location of the Great Pyramids and the Sphinx, the possible discovery of a massive underground chamber and second Sphinx, and if extraterrestrials might have helped to build the giant structures.See omnystudio.com/listener for privacy information.

In this exclusive interview I am joined by Egyptologist, tour-guide and author of "Egypt Before the Written History," Mohamed Ibrahim. In this insightful episode, Mohamed and I discuss a variety of topics that include the forbidden history and lost technologies of ancient Egypt. Mohamed shares his decades of research and fascinating theories regarding the true purposes of the Great Pyramids, what may be hidden deep beneath them and so much more.GET MOHAMED'S BOOK ⁠HEREJOIN ME ON A TOUR HERE

Ryan Pitterson returns with a theoretical bombshell. Drawing from his meticulous biblical research and laying out a case that only a lawyer could, Ryan pulls from Jeremiah, Isaiah, and Job and theorizes that the Great Pyramid of Giza is found in the biblical narrative. Built not as a pagan relic but rather as a divine altar set in Egypt by God as a sign of the coming Savior. The builder, he argues, is the patriarch Job. The greatest man in the East. The monotheist shepherd king, who secular historians recorded as Cheops. The evidence is staggering. An estimated 144,000 casing stones once covered the pyramid's surface. The empty coffer inside foretells the empty tomb. God speaks to Job in construction and astronomy language that tracks precisely with the pyramid's design and celestial alignments. Pitterson makes the case that New Jerusalem descends not as a cube but as a pyramid, that every other pyramid on earth is a satanic counterfeit, and that Egypt plays a specific prophetic role in the end times that most of the church has overlooked. Buckle up, this gets blurry. This episode is sponsored by: https://get.stash.com/blurry — See how you can receive $25 towards your first stock purchase and to view important disclosures. https://rocketmoney.com/blurry — Let Rocket Money help you reach your financial goals faster! https://homechef.com/blurry — Get 50% off plus free shipping on your first box & free dessert for life! Learn more about your ad choices. Visit megaphone.fm/adchoices

News items read by Laura Kennedy include: Archaeologists investigate the Great Pyramid's resilient engineering (details) (details) Prehistoric megastructure found in small Romanian settlement (details) Ancient Mesoamericans used ritual transformations to connect to divine beings (details) (details) Archaeologists use medical kit to identify doctor among Pompeii's victims (details)

The Great Pyramids of Giza have survived millennia, and despite being the focus of countless studies, continue to raise questions. 

The stories that made the Ancient Egypt headlines over the fourth week of MayInternational Museum DayTutankhamun's Clay Seals in Luxor MuseumHow The Great Pyramid Survives EarthquakesLuxor Museum Wins Excellence AwardAncient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

The Great Pyramid of Giza has withstood thousands of years of weathering and massive earthquakes without any modern reinforcement or flexible joints. Monash University's Associate Professor Colin Caprani joined Gary to break down the ancient engineering secrets of its resilience—and why we must be careful not to mistake sheer luck for master design.See omnystudio.com/listener for privacy information.

Tras haber pospuesto las celebraciones de su 25º aniversario a causa de la pandemia, la Agrupación Musical Nuestra Señora de la Soledad conmemora sus tres décadas de trayectoria por todo lo alto. Baltasar y Daniel Sánchez Ros, vicepresidente y director, nos cuentan que el evento central será un concierto en el que la banda, compuesta por unos 60 músicos, interpretará obras de autores locales como Jesús Añó, Javier Pérez Garrido y José Alberto Pina, quienes además subirán al escenario para dirigir sus propias piezas. Entre los atractivos de la jornada destaca el estreno de la obra Building the Great Pyramid de Pérez Garrido y la realización de un curso de dirección bajo la tutela de Pina. Las entradas ya están disponibles para este encuentro que busca poner en valor el talento de Cartagena y el trabajo de la escuela de música de la agrupación, que cuenta con cerca de un centenar de educandos.

Dan Richards from Debunking and Neal Sendlak from GnosticInformant go head-to-head in a deep debate on ancient history, lost civilizations, the Younger Dryas impact hypothesis, Göbekli Tepe, the Great Pyramid, Baalbek, ancient astronomy, and the evidence behind alternative vs mainstream archaeology.- Was Göbekli Tepe's Pillar 43 recording a realcatastrophic event?- How were the massive Baalbek stones actually moved? Who created them?- And were the pyramids truly built exactly how mainstream archaeology claims they were?This conversation explores the clash between mainstreamacademic perspectives and alternative historical theories - covering comet impacts, extinction events, megalithic construction, ancient navigation, elongated skulls, Pillar 43, the zodiac, pyramid construction theories, and the growing debate surrounding humanity's distant past.   Follow Matt Beall Podcast: https://x.com/MattBeallPodhttps://www.tiktok.com/@mattbeallpodhttps://www.instagram.com/mattbeallpodcast/https://www.facebook.com/profile.php?id=61556879741320 Check out our Shorts & ClipsShorts Channel: https://www.youtube.com/@MattBeallShortsClip Channel: https://www.youtube.com/@MattBeallClips Listen Everywhere: YouTube: https://www.youtube.com/@MattBeallPodcastApple:https://podcasts.apple.com/us/podcast/matt-beall-limitless/id1712917413  Rumble: https://rumble.com/c/c-6727221 Patreon: https://www.patreon.com/c/MattBeallPodcast Check out Dan & Neal:https://x.com/DeDunkingPasthttps://x.com/Gnosisinformanthttps://www.youtube.com/@DeDunkinghttps://www.youtube.com/@GnosticInformant Timeline:00:00:00              Introductions00:00:38              Younger Dryas00:13:17              Astrological Symbolism00:41:51              Pyramid Dating01:41:38              Sphinx Dating02:05:16              Pillar 4302:29:40              Baalbek Stones02:51:03              Gunung Padang02:56:55              Is Archaeology a Science03:09:30              Closing #AncientHistory #YoungerDryas #GobekliTepe #Pyramids #Egypt #Baalbek #LostCivilization #AncientEgypt #Archaeology #GrahamHancock #Debate#History #AlternativeHistory #Mysteries #AncientMysteries #CometImpact #YoungerDryasImpact #GreatPyramid #Atlantis #NealSendlak #DanRichardsThe views and opinions expressed on this podcast are notnecessarily the views of the host or of any business related to the host.

Darkness Radio presents Supernatural News/Parashare: Memorial Weekend Melee Edition with Jessica Freeburg!This Week, we no sooner get back from the moon, and NASA springs a new mission on us... MARS... Under nuclear propulsion... BY 2028! A man predicts the birth of his twins while living another life... in a coma!  The mystery of the Mary Celeste ghost ship may have been solved... we have details!  AND, The Great Pyramid may be a planetary beacon?! We give you the full story! Check out Jessica Freeburg's website and get tickets to her events here:  https://jessicafreeburg.com/upcoming-events/and check out Jess on TikTok:  https://www.tiktok.com/@jessicafreeburgwritesThere are new and different (and really cool) items all the time in the Darkness Radio Online store at our website! . Check out the Darkness Radio Store!   https://www.darknessradioshow.com/store/Make sure you update your Darkness Radio Apple Apps!and subscribe to the Darkness Radio YouTube page:  https://www.youtube.com/@DRTimDennis#paranormal  #supernatural  #paranormalpodcasts  #darknessradio  #timdennis  #jessicafreeburg #paranormalauthor  #supernaturalnews  #parashare  #ghosts  #spirits   #hauntings #hauntedhouses #haunteddolls #demons #supernaturalsex #deliverances #exorcisms #paranormalinvestigation #ghosthunters  #Psychics  #tarot  #ouija  #Aliens  #UFO #UAP #Extraterrestrials #alienhumanhybrid #alienabduction #alienimplant #Alienspaceships  #disclosure #shadowpeople #AATIP #DIA #Cryptids #Cryptozoology #bigfoot #sasquatch #yeti  #abominablesnowman #ogopogo #lochnessmonster #chupacabra #beastofbrayroad #mothman  #artificialintelligence #AI  #NASA  #CIA #FBI #conspiracytheory #neardeatheexperience 

Dreamland with Art Bell - The Great Pyramid of Giza - John Zajack

Darkness Radio presents Supernatural News/Parashare: Memorial Weekend Melee Edition with Jessica Freeburg!This Week, we no sooner get back from the moon, and NASA springs a new mission on us... MARS... Under nuclear propulsion... BY 2028! A man predicts the birth of his twins while living another life... in a coma!  The mystery of the Mary Celeste ghost ship may have been solved... we have details!  AND, The Great Pyramid may be a planetary beacon?! We give you the full story! Check out Jessica Freeburg's website and get tickets to her events here:  https://jessicafreeburg.com/upcoming-events/and check out Jess on TikTok:  https://www.tiktok.com/@jessicafreeburgwritesThere are new and different (and really cool) items all the time in the Darkness Radio Online store at our website! . Check out the Darkness Radio Store!   https://www.darknessradioshow.com/store/Make sure you update your Darkness Radio Apple Apps!and subscribe to the Darkness Radio YouTube page:  https://www.youtube.com/@DRTimDennis#paranormal  #supernatural  #paranormalpodcasts  #darknessradio  #timdennis  #jessicafreeburg #paranormalauthor  #supernaturalnews  #parashare  #ghosts  #spirits   #hauntings #hauntedhouses #haunteddolls #demons #supernaturalsex #deliverances #exorcisms #paranormalinvestigation #ghosthunters  #Psychics  #tarot  #ouija  #Aliens  #UFO #UAP #Extraterrestrials #alienhumanhybrid #alienabduction #alienimplant #Alienspaceships  #disclosure #shadowpeople #AATIP #DIA #Cryptids #Cryptozoology #bigfoot #sasquatch #yeti  #abominablesnowman #ogopogo #lochnessmonster #chupacabra #beastofbrayroad #mothman  #artificialintelligence #AI  #NASA  #CIA #FBI #conspiracytheory #neardeatheexperience 

CreepGeeks Podcast Episode 360 INTRO  You're listening to CreepGeeks Podcast! This is Season 10, Episode 360 Japanese Robot Wolves, Smart Neandertals, Lefties Do it Right, and Wanted Director of Paranormal Affairs? Welcome to CreepGeeks Podcast! We broadcast paranormal news and share our strange experiences from our underground bunker in the mountains of Western North Carolina.  THIS EPISODE IS BROUGHT TO YOU BY BARLEY'S BITES Barley's Bites Barley's Bites is dedicated to providing top-quality, home-made dog treats for every doggo to enjoy. Our treats are made with fresh, healthy ingredients and no harmful chemicals, ensuring your pet receives the best possible nutrition.  Jack loves them, and the dog neighbors approve. Made in New Mexico! Thanks, Kristen and Dave, for sending Jack and us some tasty treats! Barley's Bites: Exclusive offer for CreepGeeks Listeners- Barley's Bites would like to offer all CreepGeeks Podcast listeners 20% off their orders with code "CreepGeeks" at checkout. Your favorite anomalous podcast hosts are Greg and Omi Want to support the podcast? Join us on Patreon:  CreepGeeks Paranormal and Weird News is creating Humorous Paranormal Podcasts, Interviews, and Videos!  Get our new Swag in our Amazon Merch Store:  https://amzn.to/3IWwM1x  Get Starlink for Rural Internet Access-  Starlink | Residential Hey Everyone. You can call the show and leave us a message!  1-575-208-4025 Use Amazon Prime's Free Trial! Did you know YOU can support the CreepGeeks Podcast with little to no effort? It won't cost you anything!  When you shop on Amazon.com using our affiliate link, we receive a small percentage.  It doesn't change your price at all. It helps us keep the coffee and gas flowing in the Albino Rhino!  CreepGeeks Podcast is an Amazon Affiliate CheapGeek and CreepGeeks Amazon Page's Amazon Page    Support the Show:  CreepGeeks Swag Shop!  Website- CREEPGEEKS PARANORMAL AND WEIRD NEWS Hey everyone! Help us out!  Rate us on iTunes!  ‎CreepGeeks Paranormal and Weird News Podcast on Apple  WARNING: This Podcast May Contain Bioengineered and Cell-Cultivated Food Products. Stanley Milford Navajo Rangers Book- The Paranormal Ranger: A chilling memoir of investigations into the paranormal in Navajoland https://amzn.to/3ZhzG8m  Interested in Past Lives or Past Life's Journeying- RC Baranowski. Past Life Journeying: Exploring Past, Between, and Future Lives Past Life Journeying: Exploring Past, Between, and Future Lives - Kindle edition by Baranowski, R. C.. 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Digital Audio Player:  FIIO Snowsky Echo Mini https://amzn.to/4n8rQYh  Omi is a big-time artist and is busy. North Carolina artist creates 'Bluebirds of Hope' from glass shattered by Helene | Fox Weather  One Artist Picks Up the Pieces | Our State  Greg is pushing forward in his quest to own his own digital content. Greg celebrated his YouTube Channel's 15th birthday! Listener Messages- We just bought some Barley's Bites for our white shepherd - thanks for the promo code! You had me laughing on your description of the Brits. I am a Southern Belle married to a Brit - well, a Scot. Having lived in the UK and here, you nailed it in terms of their food, washing machines in the kitchen, and I could easily list a whole bunch of other stuff that is so different. The feelings that they (the Brits) are better than everyone else is real - until they marry an American and live here - quite the humbling experience for them. We live in central North Carolina and the hubs DIES every summer with the heat and humidity. Back to the food though, I'm also half Puerto Rican and so, we like a little spice to our food. This was a major adjustment for the hubs, but now, he's all about Southern comfort food and the Latino heat. Every once in a while though, he goes and stocks up at the Scottish grocery store in Greensboro LOL (Ma heed needs a break darlin' - he says)  Last Episode FollowUp:  Missing Scientists- Jemez Mountains, Boulder through the Back Window? 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The stories that made the Ancient Egypt headlines over the third week of MayNew Discoveries in Dra Abu el-NagaTwo Tombs Opened in el-KhokhaThe Nile: Pulse of Egyptian Civilization ExhibitionLuxor Cache Hall Reopened in Luxor MuseumTreasures of the Pharoah's Exhibition to Tour U.S.Zahi Hawass and Piers MorganAncient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

Dr Zahi Hawass is a world-renowned Egyptian archaeologist and a global authority on The Great Pyramids. His many admirers consider him a cultural icon, a ferocious defender of ancient antiquities, even a real life Indiana Jones. His critics, however, believe he's a gatekeeper, wielding an academic iron fist to silence the myriad alternative theories about the pyramid's many mysteries. There was a huge response to his last appearance on Uncensored. So when Piers Morgan discovered he was in London - inaugurating the Exhibit of Ramses at Battersea Power Station - he had to invite him into the Uncensored studios. We're also joined by investigative researcher and host of Bright Insight, Jimmy Corsetti, ancient mysteries YouTuber Michael Button and ‘The Rogue Archaeologist' Timothy Alberino. Learn more about your ad choices. Visit megaphone.fm/adchoices

Randall reads from a published paper that attempts to date the Great Pyramid using erosion patterns on foundation blocks that used to be partly covered by casing stones. Because we can pinpoint the time the casing stones were removed to within a few years, the erosion on the stone that used to be protected by the now-missing casing stones can be used to establish a baseline for the amount of time required for such erosion to occur. This can be compared to the erosion on the portions of the stone that was never protected, and thus a date for construction can be estimated. This leads us to studies on limestone erosion in general, and the evidence for catastrophic flooding along the Nile Valley, which leads us back to the Sphinx, and the erosion seen in the enclosure walls around it.Find Randall's channel here: https://www.youtube.com/therandallcarlsonAnd his website here: https://randallcarlson.com/You can support us through Paypal or Patreon by visiting our website: https://www.brothersoftheserpent.com/support

Randall reads from a published paper that attempts to date the Great Pyramid using erosion patterns on foundation blocks that used to be partly covered by casing stones. Because we can pinpoint the time the casing stones were removed to within a few years, the erosion on the stone that used to be protected by the now-missing casing stones can be used to establish a baseline for the amount of time required for such erosion to occur. This can be compared to the erosion on the portions of the stone that was never protected, and thus a date for construction can be estimated. This leads us to studies on limestone erosion in general, and the evidence for catastrophic flooding along the Nile Valley, which leads us back to the Sphinx, and the erosion seen in the enclosure walls around it.   Find Randall's channel here: https://www.youtube.com/therandallcarlson And his website here: https://randallcarlson.com/   You can support us through Paypal or Patreon by visiting our website: https://www.brothersoftheserpent.com/support     Chapters 00:00 Introduction to the Conversation 01:24 Redating the Khufu Pyramid 11:04 The Relative Erosion Method Explained 17:21 Exploring the Erosion of the Sphinx 19:13 Quarrying Techniques and Erosion Patterns 30:11 Theories on the Sphinx's Construction 39:18 Coastal Limestone Erosion Studies 41:06 Erosion Rates and Environmental Factors 43:22 Historical Perspectives on Erosion 45:47 Comparative Erosion Studies 47:39 The Sphinx and Erosion Rates 51:41 Freshwater Erosion Dynamics 53:37 Wetter Periods and Erosion 57:11 Subterranean Structures and Ancient Civilizations 01:01:53 Catastrophic Events and Civilization Planning 01:05:25 The Moon as a Refuge 01:10:12 Comparative Flood Events 01:13:18 Periodic Catastrophes and Human Survival 01:18:28 Ancient Technologies and Future Strategies

www.patreon.com/theconspiracypodcastThe FULL Pyramids Compilation (5 EPs in one)The show's 100th episode. What started as a milestone special turned into five full episodes, hours of debate, and one of the most spirited arguments in podcast history. Now it's all in one place.Eric, Sean, and Jorge dive headfirst into the greatest mystery in human history: Who built the Great Pyramids of Giza — and how the hell did they do it?Part 1 — The History: Before the conspiracies, lay the foundation. The Nile River, the Old Kingdom, the pharaohs, and a timeline that puts the Great Pyramid in perspective. It was built before coins, before paper, before the domestication of horses in Africa — and Cleopatra was closer in time to us than to the pyramids.Parts 2 & 3 — Sean's Episodes: Sean comes in swinging with 20 pages of things that don't add up. The Great Pyramid's near-perfect alignment with True North (off by 0.05 degrees — more precise than the Washington Monument). Pi and the Golden Ratio embedded in its dimensions. The Earth's own proportions mirrored in its geometry. Impossible 80-ton granite slabs. Sealed doors discovered by robots. Salt deposits in the Queen's Chamber. And the burning question: if it was just a tomb, where's the body?Part 4 — Eric's Episode: Eric fights back. He makes the case that mankind — skilled, organized, and wildly underestimated — built the pyramids with no alien assistance. He brings evidence: the workers' village, Machu Picchu, the Great Wall of China, the Hoover Dam. His thesis? Human ingenuity has always defied what seems impossible.The Update: Two weeks after Episode 100 aired, news broke of a massive underground complex discovered beneath Giza using satellite radar — interconnected chambers, spiraling shafts, and cylindrical voids stretching nearly two kilometers underground. We had to come back. Everything's on the table again.History, mystery, bad diagrams, and a few things we still can't explain. Buckle up.00:00:00 - Welcome & why we saved the pyramids for Episode 10000:07:00 - "Who built the pyramids and how did they do it?"00:11:00 - The Nile River: ancient Egypt's lifeline00:19:00 - The Step Pyramid & Pharaoh Djoser00:26:00 - Pharaoh Khufu and the Great Pyramid of Giza00:35:00 - Why did they stop building pyramids?00:38:00 - Cleopatra was closer to us than to the pyramids00:46:00 - Were the pyramid workers slaves?01:13:00 - The pyramid's alignment with True North01:25:00 - Over 1,000 pyramids exist around the world01:32:00 - 0.05 degrees off True North — more precise than the Washington Monument01:39:00 - Alignment with Orion and Sirius01:48:00 - Pi appears in the pyramid's dimensions01:55:00 - The Golden Ratio in the pyramid's proportions02:02:00 - The pyramid encodes Earth's exact proportions02:03:00 - The pyramid's coordinates match the speed of light02:11:00 - The King's Chamber: 80-ton granite ceiling slabs02:17:00 - The empty sarcophagus — no body, no explanation02:23:00 - Electromagnetic anomalies inside the King's Chamber03:09:00 - The Queen's Chamber: sealed doors discovered by robot03:25:00 - Tomb or energy generator?03:33:00 - Quartz in the granite walls generating electricity03:41:00 - Could sound and vibration have moved the stone blocks?04:07:00 - The Sphinx: water erosion theory and its true age04:14:00 - Hidden chamber beneath the Sphinx04:35:00 - Were the pyramids built by humans alone?04:55:00 - The Great Wall of China vs. the pyramids05:15:00 - The Coral Castle: one man, no machinery, 1,000 tons of coral05:35:00 - Lost technology: the real reason we can't explain the pyramids?05:56:00 - BREAKING: Underground structure discovered beneath Giza06:00:00 - Satellite radar reveals hidden chambers and spiraling voids06:08:00 - Ancient energy grid theory06:14:00 - "The most significant discovery at Giza in over 50 years"06:24:00 - Final verdicts from all three hosts

In November of 2025, I took one of the most unforgettable journeys of my life.  Finally visiting Egypt. From standing in the shadow of the Great Pyramids to photographing ancient temples under the stars, this adventure was so much more than a photography trip. It was a reminder of how small we are in the timeline of humanity, and how powerful it is to experience places that have stood for thousands of years.In this podcast episode,The adventure started with being the Keynote Speaker at the Creo Expo in Alexandria and then moved to the Capital city of Cairo.I'm sharing the highs, the chaos, the moments behind the camera, the lessons learned, and the stories most people never get to hear. Traveling and photographing Egypt challenged me creatively, physically, emotionally, and spiritually in ways I never expected.If you've ever dreamed of traveling the world with your camera, stepping outside your comfort zone, or experiencing history in a way books can't teach you… this episode is for you.Sometimes the greatest photographs come after the greatest adventures.#Egypt #PhotographyPodcast #TravelPhotography #JasonLanier #AdventurePhotography #PyramidsOfGiza #PhotographerLife #BehindTheLens #CreativeJourney #TravelAdventure #StreetPhotography #AncientEgypt #PhotographyEducation #WorldTraveler #PodcastEpisode #PhotographyLife #ExploreTheWorld #VisualStorytelling #TravelStories #Photographers

The Mysterious Great Pyramid of GIZA FindingsBecome a supporter of this podcast: https://www.spreaker.com/podcast/missing-persons-mysteries--5624803/support.

The stories that made the Ancient Egypt headlines over the second week of MayMore on the Alexandria BathItaly Returns ArtefactsNew French Law on "Looted" ArtefactsAncient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

Hidden beneath the frozen wilderness of Alaska lies one of the most unsettling and least understood anomalies ever reported: the Dark Pyramid of Alaska. Allegedly buried deep underground near Mount McKinley (Denali), this massive, pyramid-shaped structure has been described by whistleblowers, former military personnel, and researchers as larger than the Great Pyramid of Giza—and potentially far older. But what is it doing there, and more importantly… who built it? In this episode of Roanoke Tales, we dive into the origins, theories, and suppressed history surrounding the Dark Pyramid. From declassified military radar anomalies to strange electromagnetic disturbances in the region, Alaska has long been a hotspot for unexplained activity. Some claim the structure emits a powerful energy signature capable of interfering with aircraft instruments, navigation systems, and even human cognition. Others believe it functions as a signal amplifier, energy generator, or containment structure—possibly of non-human origin. Patreon: https://www.patreon.com/c/RoanokeTalesPatreon Roanoke Gaming: https://www.youtube.com/@UCs8lYkna2S6DkcHO9o2008A Instagram: https://www.instagram.com/roanokegaming/ Twitter: https://x.com/RoannokeGaming Thank you for watching Roanoke tales Wendigo illustration made by Tania Sanchez-Fortun. Here are the links! Instagram : https://www.instagram.com/tania_sanchezfortun_art/ Cara ; https://cara.app/tsanchezfortun Artstation : https://www.artstation.com/taniasanchezfortun Go and check out his work! We'll explore the geological impossibility of a perfect pyramid forming naturally beneath solid bedrock, as well as the engineering challenges such a structure would pose even to modern technology. Could this be evidence of an advanced ancient civilization, a remnant of a lost pre-Ice Age culture, or something far more disturbing? Some theories connect the Dark Pyramid to global ley lines, Antarctica's hidden structures, and similar underground anomalies detected via satellite and ground-penetrating radar. From a scientific perspective, we'll examine how massive subterranean structures could influence magnetic fields, seismic readings, and neurological responses in humans. Reports of disorientation, missing time, and abnormal animal behavior near the region raise questions about whether the pyramid is dormant—or still active. Is it a machine? A beacon? Or a relic meant to stay buried? This video blends forbidden archaeology, speculative science, military secrecy, and cosmic horror, connecting Alaska's Dark Pyramid to a broader pattern of hidden structures scattered across the planet. As always, we separate what can be reasonably inferred from what remains firmly in the realm of theory—letting you decide where the truth may lie. If ancient technology was real… If history is incomplete… Then the Dark Pyramid of Alaska may be one of the most important discoveries humanity was never meant to find. #AncientMysteries #ForbiddenArchaeology #RoanokeTales

This episode is inspired by https://open.substack.com/pub/deadhidden/p/the-pyramids-were-not-tombs-they Host Jeff Shepherd walks listeners through a provocative Dead Hidden Substack piece that flips the conventional conversation about the pyramids: they weren't primarily tombs or alien runways but ‘counterfeit mountains' — human attempts to copy a remembered heavenly original. The episode contrasts archaeological facts (the Great Pyramid's astounding precision, empty king's chamber, and star shafts) with a theological reading that locates the pattern in Scripture. The show explores how a single sacred shape — mounds, ziggurats, pyramids, and stepped platforms across Egypt, Mesopotamia, Mesoamerica, Sudan, Cambodia, and China — suggests a shared memory or obsession: man building artificial mountains to reach heaven. Shepard traces this idea through Genesis (Eden, the Flood, the Sons of God), Babel's tower, and the famous Mesopotamian ziggurat motif, arguing these are rebellious architectural responses to a heavenly pattern. Central to the episode is the contrast between two answers to humanity's longing for heaven: Babel's ascent (build higher) versus God's provision (tabernacle and sacrificial access). Shepard points to Exodus 25's command to make the tabernacle “after the pattern” and to Isaiah 14 and Ezekiel 28's descriptions of a pre-fall heavenly mountain — Mount Zion — that Lucifer once knew. The episode culminates with New Testament significance: Christ's descent, the torn temple veil at the crucifixion, and the claim that access to God comes by blood, not by climbing stone. Listeners can expect close readings of biblical texts (Genesis 3, 6, 11; Exodus 25; Isaiah 14; Ezekiel 28; Matthew 27), historical observations about ancient monuments, and a theological argument that archaeology measures technique while Scripture explains motive. The episode features commentary on the Dead Hidden article and Jeff Shepard's reflections rather than an outside guest interview. Key takeaways: the pyramids as symbolic, rebellious imitations of a heavenly mountain; the Bible as a map to understand ancient motivations; the shift from human ascent to divine descent in Christ; and an invitation to rethink how we ask questions about ancient monuments. The host closes by inviting listener feedback and encouraging readers to follow the Dead Hidden piece for the full argument. Want to Understand and Explain Everything Biblically? Click Here: Decoding the Power of Three: Understand and Explain Everything or go to www.rightonu.com and click learn more. Use coupon code MAY50 for $50. value savings until May 31st.. Thank you for Listening to Right on Radio. Prayerfully consider supporting Right on Radio. Click Here for all links, Right on Community ROC, Podcast web links, Freebies, Products (healing mushrooms, EMP Protection) Social media, courses and more...https://linktr.ee/RightonRadio Live Right in the Real World! We talk God and Politics, Faith Based Broadcast News, views, Opinions and Attitudes We are Your News Now. Keep the Faith

Interview starts at 33:15   Scott Creighton is back after 11 years to talk about his latest research and book exposing more of our twisted ancient mysteries paradigm. We chat about the stress relieving chambers in the Great Pyramid, the archives he searched through, the private journals, what the Egyptians said back then - everything required to be reborn, and different functions of precise stone boxes.   We also get into he Osirian shaft, his new book tying it all together, the Younger Dryas, speculations on ages of the megalithic works, Darren's MI6 theory and the deeper conspiracy. Scott Creighton is an engineer whose extensive travels have allowed him to explore many of the world's ancient sacred sites. https://youtu.be/tjsbuiQUGtc?si=452uLucgI4OEfynS https://www.amazon.com/Great-Pyramid-Hoax-Conspiracy-Conceal/dp/159143789X https://a.co/d/0bwkB2Vn https://grimerica.ca/2015/04/04/110/   Become a Lord or Lady with 1k donations over time. And a Noble with any donation. Leave Serfdom behind and help Grimerica stick to 0 ads and sponsors and fully listener supported. Thanks for listening!! Help support the show, because we can't do it without ya. https://www.disastermap.ca/ https://www.ufomap.ca/ climateimpactmap.com https://www.amazon.com/Unlearned-School-Failed-What-About/dp/1998704904/ref=sr_1_3?sr=8-3   Support the show directly: https://open.spotify.com/show/2punSyd9Cw76ZtvHxMKenI?si=ImKxfMHgQZ-oshl499O4dQ&nd=1&dlsi=4c25fa9c78674de3 Watch or Listen on Spotify https://grimericacbd.com/ CBD / THC Gummies and Tinctures http://www.grimerica.ca/support https://www.patreon.com/grimerica http://www.grimericaoutlawed.ca/support   Adultbrain Audiobook YouTube Channel: https://www.youtube.com/@adultbrainaudiobookpublishing https://grimericaoutlawed.ca/ The newer controversial Grimerica Outlawed Grimerica Show Check out our next trip/conference/meetup - Contact at the Cabin www.contactatthecabin.com Our audio book website: www.adultbrain.ca www.grimerica.ca/shrooms and Micro Dosing Darren's book www.acanadianshame.ca Grimerica on Rumble: https://rumble.com/c/c-2312992 Join the chat / hangout with a bunch of fellow Grimericans Https://t.me.grimerica grimerica.ca/chats   Discord Chats The Eh- List site. Canadian Propaganda Deconstruction https://eh-list.ca/ The Eh-List YouTube Channel: https://youtube.com/@theeh-list?si=d_ThkEYAK6UG_hGX Leave a review on iTunes and/or Stitcher: https://itunes.apple.com/ca/podcast/grimerica-outlawed http://www.stitcher.com/podcast/grimerica-outlawed Sign up for our newsletter https://grimerica.substack.com/ SPAM Graham = and send him your synchronicities, feedback, strange experiences and psychedelic trip reports!! graham@grimerica.com InstaGRAM https://www.instagram.com/the_grimerica_show_podcast/ Tweet Darren https://twitter.com/Grimerica Can't. Darren is still deleted. Purchase swag, with partial proceeds donated to the show: www.grimerica.ca/swag Send us a postcard or letter http://www.grimerica.ca/contact/ Episode ART - Napolean Duheme's site http://www.lostbreadcomic.com/ MUSIC https://brokeforfree.bandcamp.com/ - Something Galactic Felix's Site sirfelix.bandcamp.com - Should I      

The stories that made the Ancient Egypt headlines over the first days of MayNew Mummy Scans From HungaryThe Nile and NapataPtolemaic Bath Found in AlexandriaZahi Hawass in ItalyAncient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

We start off by revisiting the Artemis II mission and some ideas of future space expansion. We then move to the main topic: a recap of some of the new places we visited in Egypt, such as KV5 (a "tomb" complex in the Valley of Kings) and Tell Al-Roba, a massive 200 acre site in Egypt that holds the buried remnants of a temple complex and features an absolutely enormous single-piece granite shrine. We also talk about some new obvservations regarding the floor of the "Queen's Chamber" in the Great Pyramid, as well as some interesting aspects of the Grand Gallery. We then move on to our travels in the Faiyum and out into the desert, looking for traces of paleo and neolithic people.You can support us through Patreon or Paypal by going tohttps://www.brothersoftheserpent.com/support Thank you!

The stories that made the Ancient Egypt headlines over the fourth week of AprilNew GEM Booking Site (https://tickets.gem.eg)Soknopaiou Nesos TempleRameses II Discovery in Eastern Nile DeltaAncient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

It's time, once again, to think about visiting Egypt. I just returned from a tour in March, taking a group through the Nile Valley, and we had a great time. Egypt is quite safe, and the sites are ready to receive you. If you're in the mood for some antiquities, exploration, and time in the pharaonic past, consider joining me on my next tour. Dates: 24 January - 01 February 2027. Special out-of-hours access to the GREAT PYRAMID of Khufu, with all three chambers to ourselves! Additional special permits for ABU RAWASH and the BLACK PYRAMID at Dahshur. Booking page with itinerary & costs: Ancient World Tours https://www.ancient.co.uk/holiday/history-of-egypt-podcast-2027/. The password is SECRETS (all in capitals). The last few tours have all sold out, so get in quick! Learn more about your ad choices. Visit megaphone.fm/adchoices

The stories that made the Ancient Egypt headlines over the third week of AprilNew Discoveries at The Rameseum3 Tombs Open in el-KhokhaUpgraded Luxor Cache DisplayMalkata Palace Wall Paintings in TahrirRoman Era Tomb Found in Bahnasa13 Artefacts Returned From USAAncient Egypt News - a Weekly Catch-Up is #2 in the Top 5 Egypt History Podcasts according to FeedSpot.comhttps://podcast.feedspot.com/egypt_history_podcasts/These news stories are taken from various public internet sources including:http://english.ahram.org.eg/Portal/9/Heritage.aspxhttps://egyptianstreets.com/tag/cairo/http://www.egyptindependent.com/https://www.facebook.com/moantiquities/https://dailynewsegypt.com/https://see.news/category/antiques/https://khentiamentiu.blogspot.com/https://www.facebook.com/luxortimesmagazine/https://www.facebook.com/pg/CairoScene/posts/https://egymonuments.gov.eg/https://www.heritagedaily.comhttps://www.al-monitor.com/culture-societyhttps://www.asor.org/anetodayhttps://livescience.com https://newsweek.com https://www.archaeology.org https://www.sis.gov.eg/Home/EgyptTodayThese stories may have been edited.We are currently planning a tour for September/October 2026. For more info and to prebook visit https://gnttours.comThe GEM is open for visitors and we have added an extra day to accomodate that. But Egypt is not just museums and there is so much more to see. There are tombs that will blow your mind when you first walk inside. There are temples so magnificent you will be lost for words. It is indeed a magical place!We begin in Cairo with the first pyramids, then fly south to Luxor for 6 days before returning to Cairo for your chance to venture inside the Great Pyramid. Plus a day at the GEM.The tour cost (2,299USD) covers everything from your arrival in Cairo to your departure (Ts&Cs apply)  - and if you get on board as a couple or friends sharing; we will give you an extra discount each.It's an adventure you'll never forget! We are also offering the same tour as a group booking for dates that suit you (min 6 pax)More info and to book:https://gnttours.com This podcast is bought to you by Ted Loukes and GnT Toursted@tedloukes.comhttps://tedloukes.comFacebookGnTtours (@GnTtours) / X (twitter.com)Music: "Vadodora Chill Mix" Kevin MacLeod (in...

We start off by revisiting the Artemis II mission and some ideas of future space expansion.  We then move to the main topic: a recap of some of the new places we visited in Egypt, such as KV5(a "tomb" complex in the Valley of Kings) and Tell Al-Roba, a massive 200 acre site in Egypt that holds the buried remnants of a temple complex and features an absolutely enormous single-piece granite shrine. We also talk about some new obvservations regarding the floor of the "Queen's Chamber" in the Great Pyramid, as well as some interesting aspects of the Grand Gallery. We then move on to our travels in the Faiyum and out into the desert, looking for traces of paleo and neo lithic people.   You can support us through Patreon or Paypal by going to https://www.brothersoftheserpent.com/support Thank you!         Chapters 00:00 Introduction to the Podcast and Artemis Mission Discussion 03:01 Transient Lunar Phenomena and Mission Insights 05:56 Space Elevator Concepts and Material Science Challenges 09:10 The Future of Space Travel and Rocket Technology 11:59 Exploring Ancient Egypt: New Discoveries at Tell Al-Roba 14:47 Lithics Project and Archaeological Findings 18:04 Understanding Egyptian Civilization and Its Layers 20:53 The Great Pyramid and the Queen's Chamber Insights 31:36 Exploring the Great Pyramid's Intricacies 34:53 The Grand Gallery: A Marvel of Engineering 38:34 Unveiling the Secrets of the King's Chamber 39:45 Insights from the Abruhuash Descent 45:27 Investigating KV5: The Valley of the Kings 56:54 Reflections on the Sinai Peninsula Adventures 01:02:11 Exploring Ancient Civilizations and the Fertile Crescent 01:05:30 The Mysteries of Mount Sinai and Pre-Pottery Neolithic Sites 01:09:08 Navigating Bureaucracy in Egypt: A Tourist's Experience 01:12:34 Discovering Ancient Artifacts and Sites in the Desert 01:17:10 The Significance of Pre-Pottery Neolithic A in Sinai 01:20:15 Uncovering Lithics and Ancient Technologies in the Faiyum 01:26:43 Exploring the Labyrinth and Pyramid Structures 01:30:14 Geological Insights and Flood Impacts 01:32:28 Basalt Quarries and Ancient Construction 01:35:15 The Oldest Road and Transportation of Materials 01:41:34 Ancient Lake Levels and Docking Structures 01:45:51 Petrified Forests and Fossil Discoveries 01:51:00 Valley of the Whales and Extinction Events 01:52:44 The Fossilization Process and Environmental Changes 01:55:48 The Silica Cycle and Its Geological Impact 01:56:55 Discovering Ancient Creatures: The Basilisk Imprint 01:58:08 Ancient Roads and the Legacy of Our Ancestors 02:00:28 Exploring the Descent to Lake Levels 02:04:12 Disaster Mapping: Understanding Ancient Floods 02:10:37 Future Projects and Community Engagement

Hailing from Egypt and shaped by a clear affinity for melodic and progressive house, Das Pharaoh has quickly developed into a project with genuine international traction. Releases on labels such as UV and Siona have delivered multiple chart successes, while wide-ranging support from selectors include Hernan Cattaneo to  Solomun points to broad dancefloor appeal. Beyond the studio, the act has expanded its profile through the ULF (Underground Live Forever) podcast with Paul Thomas, while performances at the Great Pyramids of Giza, Miami Music Week, Amsterdam Dance Event and dates across Europe, Asia and North Africa underline a steadily widening reach. On this Balance Selections mix, the Egypt-born artist showcases a sound that also acts as a snapshot of UV, the label closely tied to his career. Featuring tracks from Patch Park, Alex O'Rion and Paul Arcane, this two hour mix highlights what is so fresh about our scene. @daspharaohofficial Tracklisting & interview: https://balancemusic.com.au/balance-selections-366-das-pharaoh ------------------------------------- Follow: Instagram: www.instagram.com/balance_series Facebook: www.facebook.com/balanceseriesmusic Youtube: www.youtube.com/@balancemusicofficial

Join Josh Davis and Southwest Radio Ministries for a captivating episode of 'Watchman on the Wall.' Host Noah Hutchings delves into the enigmatic secrets of the Great Pyramid, exploring its architectural, mathematical, and astronomical marvels. Celebrate the program's 93rd anniversary and engage with Larry Stamm on effective faith-sharing strategies. Tune into a rich blend of history, faith, and ancient mysteries.

Join Josh Davis and Southwest Radio Ministries' Watchman on the Wall as we celebrate 93 years of broadcast with a special discussion on the Great Pyramid. Host Noah Hutchings delves into the mysteries and prophetic significance of this ancient structure. Discover its connections to biblical prophecy and historical accounts, and explore the fascinating theories about its purpose and construction. Available now is the 30th anniversary edition of Hutchings' book, 'The Great Pyramid: Prophecy in Stone', offering insights into these timeless enigmas.

In this historic collaboration of the Drops of Gold x Just Tap In Podcast, Emilio Ortiz & Jeff Scult sit down with Matías de Stefano and Robert Edward Grant at One Golden Thread in Venice Beach, California — for a conversation that may be one of the most important transmissions of our time.Together they explore the shifts of governments, the dissolution of time as we know it, and the profound upgrades in human consciousness that both men have independently predicted will reach its peak before 2030. This is not speculation. This is a convergence of two of the world's most extraordinary minds — a mathematician and polymath and a cosmic channel and rememberer — arriving at the same downloads from completely different directions.The conversation moves through the true meaning of what it means to be human, the sacred geometry hidden inside the Great Pyramids, the Mandela Effect as a tool for building New Earth, the death of the age of human doing and the birth of the age of human being, and why everything you've been told about reality, religion and governance is already dissolving. Robert reveals a groundbreaking discovery about the golden ratio — that every single number, and therefore every single soul, can be made perfect. Matías shares why freedom doesn't mean escape — it means coming home. And together they map out what the world looks like in 2030 and beyond.

How can we bring a 4,500-year-old wonder of the world to life and allow millions to experience it? In this episode, we speak with Peter Der Manuelian, Harvard Egyptologist and Director of the Giza Project, and Fabien Barati, CEO and co-founder of Excurio, about their groundbreaking collaboration to recreate the Great Pyramid of Giza using cutting-edge virtual reality and rigorous archaeological research. Drawing from decades of excavation records, architectural studies, and historical data, Peter and his team provided the scientific foundation for the project, ensuring the virtual pyramid is based on the most accurate, up-to-date evidence. Fabien and the Excurio team then translated this research into a fully immersive VR experience, allowing users to virtually explore the Giza Plateau, enter the Great Pyramid, and witness the daily life of ancient Egypt, including the funerary rites of Pharaoh Khufu. In this conversation, we dive into: How the Giza Project's data was transformed into a walk-through virtual reality experience of the Great Pyramid. Why historical accuracy is essential in virtual archaeology and cultural heritage preservation. What muon tomography reveals about hidden chambers inside the Great Pyramid. How virtual reality can balance preservation with global accessibility to heritage sites. The future of immersive expeditions and the role of digital archaeology in education and preservation. With over one million visitors globally, Horizon of Khufu has become a trailblazer in "edutainment," providing global audiences access to fragile, inaccessible sites while ensuring their preservation. Ready to discover how this innovative project is reshaping our understanding of ancient Egypt? Tune in now! More on Peter: https://anthropology.fas.harvard.edu/people/peter-der-manuelian More on Fabien: https://www.linkedin.com/in/fabien-barati-5b20205/?originalSubdomain=fr EXP is a Midwest's largest virtual reality destination that now open in Rosemont, IL and offering the Horizon of Khufu free-roam expedition.   Episode also available on Apple Podcasts: https://apple.co/38oMlMr 

In 1837, deep within the Great Pyramid of Giza, British army officer Colonel Richard W. Howard Vyse made a claim that would define Egyptology for generations: the “discovery” of painted hieroglyphs, including the royal cartouche of Khufu, the pyramid's builder. This single event helped cement forever the idea that the Great Pyramid and all other pyramids at Giza were merely royal tombs.Yet when the surviving notebooks, sketches, and first-hand accounts from Vyse's time are carefully examined, a different and deeply unsettling picture begins to emerge. These accounts reveal troubling discrepancies—erasures, manipulated dates, and contradictory statements—suggesting that the famous “Khufu cartouche” may not be ancient at all, but the product of a Victorian deception.In The Great Pyramid Hoax II, IT engineer and independent researcher, Scott Creighton, returns to the original 1837 evidence to conduct a forensic re-evaluation of what really happened inside those hidden chambers of the Great Pyramid.Through detailed textual, epigraphic, and contextual analysis, he demonstrates how Colonel Vyse's actions—whether through ambition, desperation, or misunderstanding—effectively set Egyptology down a wrong path; a path from which it has never (yet) found its way back.But if the Giza pyramids weren't simple tombs, then what were they? Creighton revisits the ancient Legend of Surid, preserved in early Coptic and Arabic sources, in which a pre-diluvian Egyptian king builds the pyramids to safeguard the wisdom of his age against a looming cataclysm. When this “legend” is read alongside the physical and astronomical layout of the Giza complex, a striking and compelling coherence begins to take shape.What emerges is a radical reappraisal of both the pyramid's function and humanity's own deep history—a reminder that beneath centuries of scholarly orthodoxy may lie the echo of an ancient science, and a warning recorded in stone by a civilization determined that its message should survive the apocalyptic Earth cataclysm that would bring its demise.Meticulously researched and boldly reasoned, The Great Pyramid Hoax II is an inquiry into how one nineteenth-century hoax helped shape our present understanding of Egypt's most ancient past—and how its unraveling may yet reshape our own future.“Egyptologists consider the ochre-painted Khufu cartouche in the Great Pyramid as the ultimate proof that this pyramid belongs to the Fourth Dynasty pharaoh Khufu. But much controversy surrounds its authenticity. If the Khufu cartouche is indeed a hoax, then the implications are tremendous. Scott Creighton has undertaken a very bold and meticulous investigation into this mystery. The Great Pyramid Hoax is a must-read book for all seekers of truth.” Robert Bauval, author of The Soul of Ancient Egypt ― Robert Bauval, author of The Soul of Ancient Egypt“An intriguing narrative, The Great Pyramid Hoax expertly weaves its way through the sands of time, as it revisits one of Egyptology's most contentious issues--the dating of the Great Pyramid. In the best traditions of alternative research Creighton takes the reader on a personal journey of exploration, skillfully weaving powerful themes upon clear emotional expression, as he attempts to uncover the veracity behind one of Egypt's most endearing mysteries. A must-read for those searching for the truth.” ― Lorraine Evans, Egyptologist, death historian, and author of Kingdom of the Ark"A powerfully-argued demolition of the 'facts' on which Egyptologists base their claim that the Great Pyramid was built by the Fourth Dynasty pharaoh Khufu. Scott Creighton's excellent new book The Great Pyramid Hoax is a first-class forensic investigation that Egyptologists should really be paying a great deal of attention to, because it pulls the rug of their chronology right out from under their feet." ― Graham Hancock, author of Fingerprints of the GodsAbout the AuthorScott Creighton is an engineer whose extensive travels have allowed him to explore many of the world's ancient sacred sites. The host of the Alternative Egyptology forum on AboveTopSecret.com, he is the author of The Secret Chamber of Osiris and coauthor of The Giza Prophecy. He lives in Glasgow, Scotland.Become a supporter of this podcast: https://www.spreaker.com/podcast/earth-ancients--2790919/support.

What is "ascension"? Historically, it was the awakening of the true self—a profound integration of body and spirit. From the Great Pyramid of Giza to the avenues of Teotihuacán, sacred sites served as external maps of the human vessel. Through drama and ritual, seekers used these "natural earthly wombs" to transcend the illusory ego. The stages of conscious awareness mirror the natural world, aligning with the Yugas of the Puranas, just as the chakras once corresponded to the classical planets. In the West, these concepts survived through the transfiguration of Christ and the cryptic allegory of the "thief in the night." Today, however, the narrative has shifted. Influenced by Theosophy, the "I AM" Activity, and the Law of One, modern New Age "Lightworkers" describe ascension through a lens of physical symptoms: joint pain, bruising, failing eyesight, and memory loss. While framed as "DNA activation" or "shifting vibrations," these symptoms bear a striking resemblance to the natural process of aging. Join us as we trace the lineage of ascension—from ancient esoteric mastery and the channeling of George Van Tassel to the modern intersection of superficial physics and spiritual longing.*The is the FREE archive, which includes advertisements. If you want an ad-free experience, you can subscribe below underneath the show description.

Ready to go inside the Manethosphere? Ancient Egypt. The Promise of  Brilliance, Spiritual Truths, the birthplace of Hermetic Magic, Mythology, and Cat Allergies.   One of the themes this show never ceases to deconstruct, reconstruct, and loop about on and on again, is our human capacity to great grand illusions for ourselves.   The ability to witness a full-length feature film slice by slice—with real people performing scripted actions, speaking pre-written words, and imitating genuine emotions, all in two dimensions—yet still construct a visual narrative that absorbs you completely... that's uniquely human. That's uniquely Hollywood.   And that might be the exact same illusory BS way of thinking that Egyptologists have used to delude themselves for decades... Steven Myers is a documentarian, researcher, founder, nonprofit director, author, antiquities scholar, Great Pyramid technologist, water‑pump theorist, lecturer, media guest, humanitarian advocate, and perhaps most importantly for this conversation...a critic of mainstream Egyptology.   You'll learn TRUTHS about:   • How the Great Pyramid of Giza may have actually been built!   • Why "Royal Tomb" theories of pyramids royally suck... • A sharp teardown of the Orion Correlation Theory (and the thousands of original memes that support it) • Where thinkers like Graham Hancock and other alternative historians may still be missing the engineering reality hiding in plain sight. • Sacred geometry, star alignments, and pyramid mysticism and other things you wished Gwyneth Paltrow didn't speak about at parties   The conversation with Steven takes you to an incredible place in his assessment of the Great Pyramid as an open-source industrial prosperity machine, a place where pipe dreams meet pump realities. And the occasional hairball.   Your understanding of Ancient Egypt will never be the same again.... Steven's Links:  Website (Pharaoh's Pump Foundation):https://www.thepump.org​​ YouTube channel (Great Pyramid Pump):https://www.youtube.com/user/GreatPyramidPump/videos​   Let Greg know how you like the show. Write your review, soliloquy, Haiku or whatever twisted thoughts you want to share at https://ratethispodcast.com/openloops

What if the Great Pyramid is 25,000 years old? What if a dark star on a 26,000-year orbit periodically hurls swarms of comets at Earth, triggering ice ages and resetting civilization back to zero? And what if the warming period we're living in right now, the one we've been told is a crisis, is actually the best thing that ever happened to us?Randall Carlson is a master geologist, a cosmological detective, and one of the people most responsible for blowing open the Younger Dryas impact theory alongside Graham Hancock. In this conversation, we go deep into the energy paradox that mainstream science still can't explain, the evidence that our planet has been through multiple civilization-ending floods (not just one), and an Italian engineer's study that dates the Khufu Pyramid to roughly 23,000 BC based on erosion analysis of the limestone base.We get into the precessional cycle, the sacred numbers encoded across ancient cultures from Egypt to India to the cathedrals of medieval Europe, and why ancient peoples were so obsessed with tracking the heavens. Spoiler: it wasn't for fun. It was survival data.We also take a hard look at the climate narrative. Randall walks through the Medieval Warm Period, when Europe was warmer than today and civilization flourished, population boomed, and they built cathedrals that still stand. Then the cooling came, crops failed, immune systems collapsed, and the bubonic plague wiped out half the continent. The pattern is clear: warming is flourishing. Cooling is death. And our modern warming trend started a full century before human CO2 emissions even registered as a signal.Plus: the missing 18 years of Jesus, why the quest for the Holy Grail is really about knowing when to ask the right questions, and the Predator analogy you didn't know you needed to understand catastrophic geology.This is the first of what will be many conversations with Randall. We barely scratched the surface.| Randall Carlson |►Website | https://randallcarlson.com/► YouTube | https://www.youtube.com/therandallcarlson►Instagram | https://www.instagram.com/therandallcarlson/► Facebook | https://www.facebook.com/TheRandallCarlson/This episode is sponsored by►Metal Mark Gold Aurum Collectable Art |  ⁠https://mtlmrk.com/⁠►Korrect Life | ⁠https://korrectlife.com/| Aubrey Marcus |►Website | ⁠⁠https://www.aubreymarcus.com/►Instagram | https://www.instagram.com/aubreymarcus►Facebook |⁠⁠ https://www.facebook.com/AubreyMarcus/►X |⁠ https://x.com/aubreymarcus►Substack: https://www.aubreymarcus.com/blogs/substack► Love To The Seventh Power: ⁠https://chakaruna.com/collections/books⁠Subscribe to the Aubrey Marcus podcast:►iTunes |⁠ ⁠⁠⁠⁠⁠⁠https://apple.co/2lMZRCn ⁠⁠⁠⁠⁠⁠⁠►Spotify |⁠⁠⁠⁠⁠⁠⁠ https://spoti.fi/2EaELZO ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠►IHeartRadio |⁠ ⁠⁠⁠⁠⁠⁠https://ihr.fm/3CiV4x3 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠►Partner with the Aubrey Marcus Podcast | https://www.aubreymarcus.com/pages/booking