Okay Welcome everyone really nice to see you very very happy to be back at slush, especially this time with Arthur My name is Paul Murphy. I'm a partner at Lightspeed based in London Just a real quick bit about lightspeed for those that don't know We have actually we're a Silicon Valley based fund, but we've been investing Europe since 2007. We have over 30 companies now in Europe and Yeah, we're investing in pretty much every sector In every stage We're talking about AI today and I think it's important to put some context around that from our perspective We actually have been investing in AI for nearly a decade. We have about 50 companies And I've invested over a billion dollars into the category and that context is relevant because When we met Arthur and his co-founders We thank you. We immediately fell in love with the vision of mistral And so I thought that the best place to start would be To ask you Arthur to tell us a little bit about what you're building at Mistral Well, thank you very much slush for the invitation. Thank you. Paul as well. Um, so yeah, we started mistral Six months ago with Guillaume and Timote and our vision was that we Wanted to make the foundational models a bit differently from the other companies We've been in the field for a most a decade now And we've seen it go from a cat and dog detector to something Is very close to being human like intelligent or at least looks like it And we knew that we've a very dedicated team. We could develop state of the art models very very quickly And we could actually take the field Into something that is that would be more open where we would give more access to developers So that they could specialize the models make them their own make them as small as possible to solve their task And for us the good way of doing it and the good way of starting that was to Sheep the best open source models Create models that would be very easy to to use by individual developers and from then on build onto an enterprise play to sell the platform that allows developers to take large language models and to make Them their own to to create some differentiation on the application they're making And that's a differentiation which is currently hard to do when you only access apis of a couple of providers But if you have a deep access to the models, you can create things that are much more interesting And this is what we want to enable So when we we led your seed round It wasn't that long ago You told us that your first thing you're going to do is to build your 7b model And then I think it was it was like three months from when we signed the docs on that round We got our message Saying hey, we're ready It's ready and it was faster than we had expected. It was already incredibly ambitious I'm just I think everyone's probably wondering how you did how you did that so quickly Well, I think the secret is to have a good team So we were joined by our first employees Dozens of them at the beginning of june and nobody took holidays We recreated the wall what we call the machine learning ops system. So That's actually very simple. You you need to create a very good training code base you need to create a very good inference code base to To deploy the models you need to be able to evaluate the models And the one thing you do need the most and where we actually dedicated 80 percent of the team on For three months is to have some very good data sets We we went to the open web to public domain knowledge Created it so that we could just get the best of it Filled it did everything to get something very good Did some work around how to better optimize the models and combine all of this And then train the model to get the 7b and we continue doing it With the new models will be soon announcing When you say it's fairly easy I think maybe some people would disagree with you on that But you definitely made it look easy. I think that's true So i'm curious The community you know has been very engaged with 7b models since you released it I think it was you know trending on hugging phase for multiple days top, you know top top models What kinds of things have you seen that have been interesting so far from the community? So we've seen I think thousands of derivative work. So Uh Developers that took mistral 7b and fine tuned it on their task or on their data sets to make it special So we've seen new capabilities to like longer context Better instruction following capacities. We've seen uh Like new topics. So we've seen like occult specialized models able to talk about Post-test experience and the like much better than what mistral 7b was able to do before So many kind of different applications, uh, some of them Useful some of them are just funny Um, we've seen integration in a lot of llm open source projects. So the open source world around generative is pretty It's pretty involved already. So you have retrieval augmentation systems You have projects that allow to deploy the models on your laptop You have all of these things and they adopted mistral 7b very quickly And I think it was the field was really missing an actor that would produce the best open source models and actively engage with the community And that's what we we uh, we're we are enabling. Okay. And so now the 7b is out there. What comes next? So we have Nothing announced yet, but we we do have things in house that we'll be announcing before the end of the year new models, uh, new techniques, uh, and obviously The beginning of a platform. So we're actively working on the product We'll be soon offering hosting capacities for our models. Uh, we've very fast influence Capabilities and yeah, that's for very soon. Okay. Oh watch the space. Um, so You're also while you're doing all this incredibly What I think most people would think of is quite challenging technical work. You're also building a company And I know that's not easy. I haven't done it myself before What's keeping you up at night right now? What's your biggest headache? Um, so hiring is obviously a very big challenge I think the only reason why we got there so fast is because we hired the best engineers and the best scientists in the world It's a very competitive landscape Europe is full of talent, especially the junior ones. Uh, and so we We are uh, this is some like a very big preoccupation for us. I'm constantly working on it So that's one thing. Um, the other thing is like creating the community engaging with it So we started with them with mistral 7b, but we really need to Yeah, well facilitate the life of our users Have them engage have facilitate upstream contribution Facilitate the emergence of ideas that we could help enable. So that's another thing We have a lot of, um, I guess policy matters That we did not expect but obviously this is an agenda that you don't select Um, there's We so there's there's different tracks you have in the u.s. You have any you um, we've been uh Vocal about the fact that we wanted to have hard regulation on the product side because it's very important And we see ourselves as the provider of tools and a big enabler of compliance for the application makers So we've been saying that, uh constantly and and and we've seen like the debate, uh progress on these topics And so this is something that yeah, we're very keen on trying to enable from a technical perspective because it's important that you have Technical founders that participate in that discussion. Uh, and so that that has kept me up at night For a while and I think you know the ambition is certainly to be able to build something that could rival other large companies like open ai And i'm just curious What do you view as a differentiating philosophy or approach to companies like open ai? I think a differentiating philosophy is that we really target the developer space and we really think that When you're making an application that you want to put into production You do want to have several specialized models that are as many Chips you should you should see them as chips that you assemble in an application And it's actually not easy to make a very good chip for the use case you want So you can start with a very big model with thousands of billion well with hundreds of billions of parameters It's going to solve your task maybe but you could actually have something which is a hundred times smaller And when you make a production application that goes at scale and target a lot of users You want to make the choices that lowers the latency lower the costs And leverage the actual proprietary data that you may have and this is something that I think that that's not the the the topic of our competitors that are really targeting Like multi usage very large models agi We'll take a very much much more pragmatic approach in enabling super useful application today That would be cost efficient that would be very low latency and that would enable strong differentiation through proprietary data Okay, and you've talked I think another key difference. You've talked a lot about open source as being a corporator your dna And I think question I sort of wanted to ask Arthur by the way wouldn't look at these questions beforehand. So he wasn't expecting this one, but I understand the concept of open source software. I think we all do we see the code you kind of can take it modified And use it But in the world of ai and and models The concept of open source just feels like it's maybe a bit different because actually some things you do keep for yourself Or you have to What does open source mean in the context of llms and ai? So we don't really call them open source The models we provide are open weights. I think it's important to like keep a good distinction between the Like the terminology we were using for software and the terminology we were using for models If you provide the weights of a models you're enabling modification. You're not necessarily enabling like Full understanding of what's going on But even if you do provide full transparency on the datasets and shining you don't know what's going on because it's it's a bit Opact by design so it's an empirical science when you create a model The only way to verify that the model is doing what you expect is to measure it with with evaluation This is something we'll be enabling and then it's to modify it with some signal coming from either humans Or maybe machines to to modify the model. So really the modification part is super important for differentiation And we are taking this approach There's a full open source approach which I think is very valid as well for science In which you'd expose your datasets to disclose everything That I think that's that's something that we would strive toward at some point But obviously it's super competitive and the dataset part is very hard to to obtain It's also very capital intensive. You need a lot of gpus. So right now we're taking a balanced approach in between what we opens what the the open weights will provide the things we keep for ourselves to to get a competitive edge And this is going to be a dynamic play and we expect it to to evolve with time and with technology Okay, and then does the there's the open weight approach help with other challenges like biases and control Yeah, so it helps with better key two things. The first thing is that you can Modify the biases you can have like a strong and fine Modification capabilities on the editorial tone on the orientation And alignment of the model. So we allow alignment of your own models to your own values and those can slightly differs Like fine control of biases goes through fine Deep access to models. So that's the first thing the second thing it allows and we've seen it We've active engagement of the AI safety community in particular around open source models It allows to have better interpretability because you can see the inner activations of the of the models And and that tells you things about what's happening About why the model is taking a decision and not another. So why is it outputting a word and not another? And so in the interpretability world, it's also super useful It's also and I guess the last thing is that it's very useful to do red teaming Because you have a deep access to to the model and so you can try to verify the the part of it Which are a bit failing or behaving unexpectedly and these are things that you can then correct very similarly to What we've been doing in the open source software for security cyber security. Okay, and then what I mean What is sort of what do you as at stake here? You know, why is this is this in other words? Is this the business advantage from Israel? Or is it something more fundamental that you see as almost a responsibility? So it's both a business advantage because we allow further customization and differentiations And it's a very mature market and we expect that on the application space The one actors the actors that are going to survive and create some value are the one that will be able to strongly differentiate themselves And so they would need deep access to models. So that's a business differentiator Then there's a bit of an ideological differentiators in the sense that I've been Contributing to open source for 10 years, give mentality as well We really think that AI has been accelerated by open science by the circulation of knowledge And that's how we went in 10 years from something very very Well interesting that would just detect boats and so something that actually Will speak the human language so This has been allowed because you had big tech labs you had the academia as well that was all of them were communicating at conferences every every year and and Information would circulate and that accelerated things and suddenly In 2020 openly I decided to stop publishing and it was followed by its competitors Very closely after and so ever since 2022 We haven't seen like major advances in LLM publicly announced. And so we've seen Currently, there's like new architectures that are used internally by our competitors and that are not available out there This is something we will correct very soon. Okay, great So I want to shift focus now talk about something you mentioned earlier, which is regulation And it's a topic you kind of can't avoid. I think if you're thinking about AI A lot of focus within europe and in the uk And I think you're at the safety summit in the uk the ai safety summit last month there's a lot of ideas out there and I think You know curious to hear your view as to what should be the priority how should regulation be prioritized and instrumented Yeah, so I think it's quite interesting. It's a very interesting topic for me and and we've been Yeah, we've been contributing ideas The one thing that I would start with is that we've been talking about regulation and safety And mixing concepts very heavily. So there's a matter of product safety, which is Answering the question of you deploy a diagnosis assistant in the hospital You want it to be Safe you want to be able to measure whether the decision it's making is actually sound is actually correct So that's that's what we call product safety. That's something you have when you buy a car You have product safety of your car and it should very much be similar for applications That's one thing and ai to some extent creates new problems because you have Models that are not deterministic and so they behave in a potentially unexpected way So it's useful to refine the hard laws that we have around product safety regulation Now there's another topic that came up which is national security So the question of whether the llms that we're training the lm that everyone is training is spreading too much knowledge So when you have access to llm, you're effectively able to educate yourself on many topics And this is something that is a concern For different actors because you could have like small groups that are deemed bad that could use this knowledge to do bad things So this is this has been at the essential topic especially in the us We're still lacking a lot of this absolutely no public evidence that llms are facilitating anything. So We're really we've been advocating for for some empirical grounding of the discussion And this is something that's currently very much lacking And then there's a third thing which is kind of mixed with all this with with the two first which is existential risks So knowing whether the technology we're making is effectively on an Unbounded exponential that will end up destroying us because as every exponential it kind of Breaks the limits at some point and and that's well it becomes ill-defined as we say in mathematics So this is something that for us it is very much science fiction. That's empirical evidences So what we've been saying is that We should really focus on the first topic which is imminent It's something that is we do need to have product safety on ai because it's it's going to Otherwise it's going to break trust in the technology we're making and so we want to enable that On the second part. We are lacking empirical evidence, but I think this is something that we should monitor closely knowledge Historically knowledge the spreading of knowledge has always had more benefits than than than drawbacks and we are ai is not different in that respect But still it's something that that could do with monitoring because it's really a new technology on the third aspect of agi and And the like and the fact that you could have an autonomous system that would go out of control This is something that we are not that is discussing because we really Think that as scientists we are lacking evidence of any existential risk We think that it pollutes the discussion on the first aspect which is super important Yeah, and so if I just kind of make sure I understand this right the view is that The application layer is probably the one that has the most responsibility in terms of safety at least to Consumers or end users, whoever that is businesses But that perhaps the models could provide that as a feature or functionality But it's not the responsibility of the model to ensure that the ultimate data transmitted is itself safe Exactly. So we think that the correct way of putting some pressure on the model providers Like us is to effectively say that any application which is deployed and that includes the application that we deploy Should be should meet a certain number of safety standards. So they should Do what they're expected to do and if you do that then that means that the application providers We'll be looking at model providers that are controllable enough that can give some form of guarantees That can give some evaluation tools around the fact that they're controllable and that they do What they're expected to do. So you have some form of second order pressure that is put You put pressure on the application layer and that puts a market pressure on the foundational model developers and that's the correct way Of making a healthy competition in making the most controllable models and making the best evaluation tools making the best guard railing tools And we think that it's a much better way of doing it Than applying directly a pressure on the foundational model layer because if you do that Well, you're you're in a ill-defined territory because you're trying to Control something which is by design super multi-purpose very akin to a programming language So you can't really regulate the programming language because you can do anything with it And so really there's a problem of definition And then there's an operational problem of the fact that if you put some heavy pressure on that layer you're effectively Um favoring the big actors that have a lot of compliance capabilities and you're You're making it harder for startups with innovative ideas to to come up and compete and so This like foundational models is a bad proxy for market capture. And so we believe that Applying the regulation pressure on the application layer is the one thing to do Because that's going to foster competition and provide a safer world Do you think that there's a role for an organ, you know an IAEA kind of like organization to exist that helps to enforce or provide this guidance regulation So yes, I think um This kind of regulation if we need to Monitor I think we do need to have empirical evidence of what's happening in the space And we need to monitor the product side safety and one way of doing it is to enforce that We have very very independent Organisms that actually monitor these things and when I say independent, I mean That we should be very very cautious of of preventing pressure and regulatory capture of these things So setting standards but ensuring that No big actor is basically writing the standards themselves So what that means that if we are if we if we need to have this this form of organisms They need to be very well funded probably state funded and being Completely screened from pressure from the industry. Okay. So now I want to shift, you know, I think the regulation debate is largely Many of the debates in AI are Tend to sort of skew somewhat negative. So Let's dream for a second. Like how can AI make our lives better? What do you see as the utopian future with AI So I think the there's so there's many verticals in which AI and like interacting With machines with natural language carry a lot of value So healthcare is going to be completely changed by AI because you you will be able to interact With empathic beings that are actually super well grounded on statistics and that's really what You are expecting from medicine. So we expect that AI is going to empower Physicians to be much better at what they're doing and to make better decisions Education is also a super interesting topic Personalization of education we know that it's super important to Take the most potential of human beings and having some like your individual teacher being an assistant This is going to change a lot of things Especially in the global south So that's two things generally speaking. This is going to change the way we work So it's a way the fact that it can interact with infrastructure knowledge and that it can do Well act as if a bit imitate the boring task of of your daily life This is going to enable more space for creative thinking So we will be able to think more creatively and that's going to unleash I think a new society very soon And if you think about some of the more existential risks we face in the world like climate change Do you think that something like that can be addressed or at least improved? Yes, so I think this is a frontier which which hasn't been completely addressed yet But this is really a promise of having better models The fact that if you if you have some ways of reasoning around a pool of science Well, you can enable scientists to come up with new ideas. You can potentially unlock very precise things like Like in chemistry in accelerating Chemical reactions so that you emit less co2 for instance these things like material science chemistry nuclear fusion as well all of these locks that we have and that are That we basically need to break in order to address climate change Well, I mean, that's one of the way you can address climate change obviously the one way is also to reduce consumption but the These things we think that AI is going to be an enabler of Breaking these locks. It's not going to be an easy task There's still many things to invent and we think that going through the open science part fostering The the keeping fostering the AI community that drove the field forward for 10 years is great is super important to break these locks Okay, that's great. So I think I want to come back to to europe sort of for our last question. It's we're out of time How I mean, I think The fact that the company is being built in europe is very important to you It was obvious to you and your co-founders when we invested How important do you think it is for the industry that we have a european champion Emerge in the field of AI so the technology is AI Generative AI is is really a wave you can it's going to change society quite significantly And in europe we have a choice of either being on top of the wave and driving the technology forward or just Looking at it happening in the u.s. And in china And we think that in order to shape the technology to our values and to the way we think about democracy about society We need to have very strong technological actors that are able to drive the field forward make proposals Both in terms of policy and in terms of technology and so that's why we believe it's super important that actors That we have strong actors in europe great. Thank you so much arthur really appreciate it amazing you


Now, following the recent unrest in some part of the African continent overtaken by the military par, the director general of the Nigerian Institute of International Affairs, Professor Housao Sage, has blamed the incessant military roles on the Sahel region on extremism interference. Professor Odage was of the view that Nigerians earned the credibility to lead in exemplifying democracy since the end of the country's military role, Jacinta Obuco-Hassmore. What is the world without its second largest and second most populous continent, Africa? Let's talk about African politics, and you will agree with me that with the recent wave of cues in some countries, there is need to begin to raise questions, concerns and conversations as to why and how to tackle the deep-seated menace in Africa. Throughout the ages, there have always been ups and downs with democratic regimes in Africa, but the continent has also tasted and recorded successful democratic rules to date. Take Bokina for example, Rock-Mar-Christian Kaburi was elected president in the November 2015 general election, winning a majority in the first round of voting. Upon taking office, he became the first non-interim president in 14 years without any past ties to the military until now. More worrisome is the reaction of citizens to the recent military takeover. The jubilation and celebration among citizens of these countries could suggest the fall of democracy and acceptance of military rule. We had an exclusive chat with the director general of the Nigerian Institute of International Affairs, Professor Ehosa Osage, on the reason that dirty political games in Africa have persisted. He linked the crisis to the extremism in the Sahel region, but opined that it was not enough reason for military overthrow. The people are at the receiving end of these atrocious situations, but does that then warrant the military taking control unconstitutionally of the reins of power? I'm sure that those who have had the experience of democracy and the experience of authoritarian regimes, especially those associated with the military, know the difference. In Chad, under the Chadian law, the speaker of parliament should have become president, but the military council stepped in and deserved parliament in the name of ensuring stability. In Guinea, Special Forces commander Konu Mamadi Domboya led a coup in September 2021 against President Alpha Konde, saying he enacted because of poverty and corruption in the coastal state. And in Mali, the coup followed weeks of anti-government protests over rising insecurity, alleged corruption and a failing economy. Professor Osage pointed that international organizations and civil society have a great role to play to ensure these countries return to constitutional order. One hopes that the major powers in all of these international organizations that have the interests of these countries at heart would engage civil society and not state forces. A country like Nigeria, having returned to a civilian rule on 29 May 1999, is arguably not perfect. But according to the NIA boss, Nigeria still has the credibility to show other countries in the continent the way to go in making democracy work. Nigeria's moral authority has been strengthened and enhanced by the democratic stability that the country has enjoyed. And Nigerians themselves realize that in comparison to non-democratic regimes that we had in the past, nothing really compares. It's democracy. So when Nigeria has these kinds of interventions, the interventions are a very strong conviction. And you know, Nigeria has the credibility, you know, to say to people that this is the way to go. On his final words, he said no conversation to COP crisis without the proper involvement of any country's citizenry. We will make sense. We must look inwards. We must engage the people, engage civil society. Governance is no longer simply the monopoly of governments only. There are notions of co-governance. We must also find out what these people want. And I think the experience in Sudan has taught us very well that you can no longer take the people for granted. The throes here is that though the quality of Africa's democracies are uneven, shallow and compromised, however, it could get better when all hands are on deck. Center Ubiukou for PLOS TV Africa.


There are a considerable number of ancient anomalies located within Egypt. These ancient feats of engineering litter sites in the quarries the stones were sourced and shaped at. And although many of you would have heard of Aswan Quarry, Elephantine may be a less familiar location to you, and for good reason. Not only are the pyramids one of the most perplexing near perfectly constructed and as yet unexplained ancient architectural accomplishments on Earth. But how an ancient civilization supposedly placed within permitted known archaeological history accomplished such a feat, or indeed why? What was their original purpose? Academic contradiction, a severe lack of anomalous artifacts explored, never mentioned or somehow conveniently go unnoticed. However, in the real world, beyond the boundaries of the fenced or so-called schools of education, thanks to our own work and the presentation of such a volume of inexplicable events, artifacts, ruins or megaliths, along with many others, allied within similar fields, independently funded researchers, investigative agents, and many more, sometimes even noticed first by a viewer credited with its rediscovery within our coverage. Thanks to all this movement working to expose such an enigmas has meant that not only are these incredible characteristics now being documented, mentioned, popularized, photographed, and studied more and more each day, now being recognized by more and more critically thinking individuals individually finding evidence of lost technologies that had until then either been undiscovered or deliberately overlooked by the funded academic. The vast catalog of unexplained architecture, again growing by the day, but also the often accompanying curious stone cuts, scars, and striations, all clearly left by high-speed disc-cutting machine, a signature toolmark, identical to that which is left by modern day power tools, along with the still absent demonstration of the methods used to construct the pyramids, leads anyone to this ongoing and seemingly most controversial of arguments regarding the origins of the ruins found across Egypt. The Colossus of Memmon, each one weighing far over 1,000 tons, would sing every morning an amazing ability we have covered in a previous video, a curious characteristic reported all the way up until the Roman era. We also covered the thick layer of sea salt once found coating the pyramid's ground and underground caverns, along with a waterline reported at around 40 meters up their sides, still visible during the Spanish invasion. This clearly suggests that the pyramids, and their accompanying Sphinx, are in reality so old they even had once been submerged in ocean waters. An ancient ocean which over the eons has shifted, leaving behind sediment in the form of the desert sands. There are many enormous ancient megalithic stones hidden in and around the three great pyramids of Egypt. Not only are their enormous ancient stones virtually hidden in plain sight, thus although walked across, largely overlooked, hardly ever mentioned, and never explained in regards to their transport and placement, as modern academia will never be able to provide a logical sound explanation for these feats. The casing stones, an area of interest we have explored and documented, not only displayed vastly different ages, but also construction methods and types of stones sourced in use. Ultimately, undeniable proof of efforts to preserve the outer stones of these incredible ancient pyramids later on within their history. Signature tool marks, unique features such as protuberances, masonry shapes, polygonal stonewalling, and many other features which we have discovered during our explanations into the relics of lost antiquity. Yet Egypt's most intriguing assets, and we feel the most baffling relics which all alternative historians should have within their debacle armory, are undoubtedly to be found within the once abruptly abandoned quarries. The unfinished obelisk found at Aswan, being one such relic, the most well known of these incredible stones by a long way, not only is the obelisk over 1,000 tons, but also due to the identifiable scoop-like tool marks left upon its granite sides. A signature scarring, which again, we have so far found, explored and shared this marking at many other ancient sites around the world. Who were the original builders of the Great Pyramids? Were they the same group that quarries Aswan? What tools did these people use to cut many of the relics still left at the Elephantine Island quarry? How can anyone gaze upon such precision stonework and not ponder? How did he accomplish such an incredible finish with such hard stone, with such soft chisels and those made of copper? Not only do we find the currently attested tale of events vastly incomplete, but in many ways virtually impossible. Predictably, we are often confronted with an illogical explanation as to the origins of many unexplainable ruins. Yet Egypt, in particular Aswan and Giza, were clearly the work of a group capable of working and building with 1,000 tons plus stones. With columns of pink Aswan granite weighing over 14 tons each, over 10,000 kilometers to ballback. Is this connection mere coincidence? Or are the builders of said sites connected somehow? Possibly, one and the same? Questions we get closer to answering every day. We find it highly compelling. Neolithic man is often talked of as if he were a very different being to that of the modern man. Throughout the modern era, a well-funded, close-knit, often aristocratic academia has portrayed Neolithic man as an illiterate figure, often leopard print toga wearing, club wielding, bearded nincompoop, a grubby forceful filthy beast who had barely managed to master the art of creating fire, let alone complex language or societal behaviors. This paradigm of us emerging for the first time from the last Ice Age, developing into the complex advanced civilization we find ourselves in means that Origins of Man is somewhat of a closed book. For to preserve this influential dominance within modern society, anything which contradicts this long-attested claim is simply thrown out. Unexplained as an anomaly, and any who pursue such avenues of inquiry, a mere conspiracy theorist, this regardless of the evidence we so eagerly put forth in our defense. Countless still existing astonishing anomalies, unexplained, simply baffling feats of ancient engineering, so often covered here on our channel, either merely ignored or acclaimed as absent in explanation as to how the work of our well-studied more recent ancestors, people who were simply incapable of completing such mammoth tasks. Many of these ancient ruins, claimed as more recent achievements, we feel, possess sufficient evidence to support far greater ages littering many said sites, clearly built using far more advanced precision technologies, and Neolithic sites are of no exception. We believe here on the channel that the size of many of these highly eroded prehistoric stone trilithons, and indeed stones contained within many enormous dolmens, are also left by this ancient group. Dolmens made using similar, if not identical techniques throughout the world, from Scotland to Ireland to Japan, all of similar design and possessing inexplicable features, bored entrances, multi-ton megaliths. It is as if this group still possessed the knowledge of how to lift and work such stones, but had lost the technologies used to carve with precision. It is as if they were a surviving remnant of a once more capable or more precisely better equipped civilization. How did this ancient people, academically claimed as never having had any contact, build such similar structures? Or perhaps, more importantly, and the feature which initially attracted us to Neolithic ruins, the size of their stonework, megaliths often incorporated into their structures, forming trilithons or entrance tunnels, with top slabs upon dolmens, sometimes up to 8 feet aloft, weighing well over 100 tons. Our discoveries at New Grange and Danor in Meath, Ireland, with a slab tunnel entrance, make so many Neolithic granges and barrows, regardless of their immense size, once precisely aligned them with solstices, yet they remain mostly buried and thus most conveniently concealed. Some argue that the most impressive Neolithic dwellings can be found dotting the Japanese landscape. However, we feel the most archaeological interesting of Neolithic sites dot the United Kingdom, France, and some areas of the US, yet particularly Scotland and Ireland. Sites which have fragments of ancient symbols left within, celestial alignments, and a similar pattern decoration or possibly coded message which crop up over and over, especially one found all over the world of a strange enigmatic spiral. And although usually found sparsely decorating Neolithic sites, barrows, and internal earthworks, its reoccurrence so regularly must indicate it as once having been significant and important to them in some way. Yet for some reason, gavernous is undoubtedly the most spectacular of them all.  Located in France, to have so many of these patterns clearly arranged in careful and concise manners by a people capable of aligning 100-plus-tonne rocks with pinpoint accuracy, we feel should be perceived as a very deliberate and important undertaking, perhaps in an attempt to convey a message to a future people, a people far removed from themselves in terms of language, a fact they may have fully understood, having, as we believe, its global cataclysm within living memory, so encoded messages yet to be deciphered or even recognized as such hidden within symbolism rather than writings. Are gavernous's spirals mere decoration? If so, why go to such great efforts?  Water-created gavernous, and for whatever purpose, remains a mystery yet to be solved. Gavernous is a place very much still unexplained, yet very rarely shared academically. As such, it is a place we find highly compelling. Multiple sites nowadays are often, due to their immense age and their impossible characteristics yet to be explained, their size and precision, although clearly of an artificial, as yet unexplainable nature, alas, if it contradicts modern paradigm, is deliberately overlooked and massed. Or when claimed as a permitted known world history group's work, is always absent methodological explanations as to how they achieve these feats. Academics controlled via financial and vocational security. Ultimately, becoming the arch-enemy of a field that should be dynamic in nature, ever changing, expanding and accurate. A pioneering pursuit into the mysteries of history, and indeed ourselves, in regards to true historical fact. A career of submissive deceit, many presumably went into the field with good intentions, yet quickly learned that they must tow the mainstream line if they were to survive, a theory that they all must know is fiction. They in unison defend and continue to push as conclusive fact. When the truth is, we have barely scratched the surface of the history of ourselves, or indeed the universe, the place we call home. The task of shipping the Lamasu. Would have shown the curators of London Museum, and indeed all involved and all interested in this undertaking, just what an incredible feat the transportation of these statues must have once been. For the museum chose a mere modest statue, and the arduous nine-month task, along with the custom-built ramps, would have shown them what we claim is clearly fact. They were fully aware of the unexplainable nature of the monuments, and the mystery of how they transported them more than a century ago. So why all the secrets? Why hide our past? If we were introduced to the real mysteries currently hidden regarding life, it would inspire, free, and help so many people on their journey through life, as it enables us all to pursue a logical explanation in regards to where we all came from, or indeed why we are here. Many sites dot the earth, which have either experienced cataclysm, sea salt halfway up the pyramid's sides. Inner chambers coated, marine shells found around the Sphinx's base, a mega-metropolis recently rediscovered, abandoned, and reclaimed by the jungle of Guatemala, which once contained over 10 million civilians. Many other sites, mostly quarries due to the unfinished process stones that were underway, display abandonment of said work abruptly. Thus, not only is there evidence that can be found throughout the earth of past cataclysm and quarrying undertakings seemingly left as if the culprits vanished, it is clear something happened. However, although if dated at more than the permitted chronology of man is denied as artificial, regardless of the obvious fact they were man-built, this same field have, however, become unwitting, unpredicted ally to the channel's overall mission. In other areas of our investigations, their dating of water redistribution, for example, how rivers, seas, and ice radically changes location geographically over thousands of years, and due to this geology accurately dating when an area became submerged. The changing of the seas, and the date in which these events occurred, with still flooded sites worldwide, a number of which we have so far covered. Bimini Road being one such anomaly, one of these artifacts that, although submerged thanks to academia's astute studies into the dates at which water levels changed, allows for dates far earlier than currently attested timelines of man can allow. Due to these dates, and the fact that they were clearly once built upon dry land, gives each ruin a minimum age far older than academia can ever admit to. Floodings dated by these same geologists who were crucially initially unaware of their existence have dated many submerged ruins, including a number of pyramid complexes at far over 10,000 to 20,000 years old, with some floodings dated as occurring sometimes upwards of hundreds of thousands of years ago. For many of these sites, due to them not having been re-inhabited and left to the element since their original abandonment, are clearly intelligently created ruins with clear artificial origins. Doorcuts, right angles, even polygonal masonry, all denied as anything but geological by those who have even been there, yet again, due to Gornia Shoria's immense size sediment build-ups, thus clearly prehistoric age, clearly proves any denial of artificial origin as an obvious conspiratorial lie. The fact that modern paradigm doesn't tell of any advanced civilization at this location within known history, thus no archaeological footprints left by a later people, relics which would have allowed academics to label said groups as undoubtedly the builders, and the undeniable evidence of prehistoric age, they must overlook such evidence. It must be overlooked or dismissed. The better at this you are, the more popular these institutions make you. If no civilization was ever recorded re-inhabiting an area at any time throughout permitted history, thus no archaeology, it is far too controversially old for academics to study. Although the denial continues, yet ironically the undeniable is the ultimate weapon, slain by their own proverbial sword. The strategy of deceit is always succeeded by the truth, for the truth is grounded, unchanging, immovable, and founded upon a solid foundation. When such an occasion arises, the mere introduction of logical honesty, due to it being the truth, is far too fitting and in reflection of our regular expose of the lies littering modern teachings of history. The truth sticks, it resonates, once the truth is exposed it never dies, it is immortalized and unchanging. All we have ever wanted is for our viewers to ask themselves the questions we painstakingly search for the answers to ourselves, and we have dedicated a number of years of extremely hard work in amassing such a vast collection of stories, evidence, and other aspects supporting our work, regardless of MSM's reluctancy to ever promote, popularize, or pursue such subjects within their studies, papers, journals, or articles. Those towing the line of illogical dating and explanations for origins must deny the obvious artificial nature it's one or the other. We find all of these things highly compelling. The modern-day institution, man's way of organizing belief systems into their different clans, cult-like attitudes, often driven by an existential perception, specialisms of some form or merely a naturally occurring passion. They are either built around a certain series of events, or an apparent fact or claim, which stand as the cornerstones of said institution. It is therefore within the profiteers of said ideologies' interests to not only suppress any evidence that may surface that would make their treasured institutions crumble to their very core foundation, but to actively destroy said relics whenever one gets an opportunity to do so. The Bamiyan Buddha, for example, apparently this monstrous carving, perfectly bored into a sheer rock face in the Bamiyan valley of central Afghanistan, is not only a relic, which we hypothesize, was left by a now lost civilization, but due to the facial features once masterfully depicted upon the statue, removed at some later time within history, carved flat, not only making its identification as Buddha questionable, it was for some reason completely destroyed during the Iraq War. Its destruction, I propose, supports our prior posit of it indeed being that of a lost civilization's work, this being the sole motive for such actions. Interestingly, hidden voids found behind the carving, if it were indeed a solid carving as one would have once presumed when gazing upon it, how were these hollow chambers once placed behind said carving? Additionally, not only do most modern institutions deny any of the evidence we so often put forward on our channel, often in regards to a past lost civilization, but fields such as geology is simply actively writing off countless ancient sites and anomalies as simply geological coincidences. Their existence being an impossibility according to already established supposedly concluded chronology for human civilization. One reoccurring strategy, which I like to call the Paridolia effect denial, as befallen countless sites of interest. One of the most hotly debated, being the face on Mars, now simply dismissed as a trick of light, the intriguing pyramidal features nearby, which also somehow align with Pleiades. This denial strategy has condemned other said features here on Earth, some of which found in remote places that, according to modern academia, have simply never been inhabited. Thus, regardless of the artificial nature of such places as Gornia Shoria, must be dismissed as mere coincidental geological features. The ruins clearly amends age, often used in an unfortunate twist of fate, as support of such claims, as nature eventually reclaims all, thus the older the ruin, the easier this said denial strategy is to argue. That is, until now, in a modern era, where modern technology now allows us to collect a massive amount of information on simply anything, unexplained features, uparts, and many other advanced unexplained legacies of an antiquity, once hidden, now shared far and wide, evidence which flies in the face of modern paradigm. The Charonian is yet another of these curious, clearly immensely old anomalies that, regardless of its form, once being carved from extremely tough rock. Maybe this is why our lost ancestors built with such enormous stones, and did so in an as-yet unexplained, yet clearly highly advanced way known as polygonal masonry. Perhaps they built like this so that their footprint here on our planet be long-lived, and to deliberately be resistant to the elements, to reach us now in the modern day, giving all of us an opportunity to understand the real history of our Earth, regardless of what others would like. We find all of these things highly compelling. Osaka Castle is one of the most intriguing of all of Japan's forgotten wonders, a place we have covered in the past. It was, we believe, like so many other inexplicable sites around the world, re-inhabited by our most recent of ancestors, placed within an academically permitted timeline of events. A chronology that, if one wishes to succeed in the mainstream, must toe the line of. For if one goes against the grain and explores the site with a critical mind, one can clearly see it contains a number of surviving features, which not only displays lost knowledge, thus the work of a lost civilization, which at some point in the very distant past built ruins all around the globe. Building countless polygonal ruins, which have, due to their incredible construction technique, fortunately survived into the modern era. However, it is not just its polygonal foundations which show clear evidence of these elusive and consistently denied lost ancestors. Octopus rock, for example, also sometimes known as the drum stone, is the largest megalithic stone found within the walls within the castle's grounds. This giant stone, just like those of Baalback, is enormous. Estimates for its weight range from 100 to 300 tons, although it could of course be far heavier. However, even at these conservative estimates, any explanation of how ancient man accomplished such feats remains elusive. For the fact remains, the stone is of an incredible size, and to this day its placement, along with many others found throughout the world, remains unexplained and unknown. So for one to conclude that this stone's use, its quarrying, transporting, and placement within this wall, was done by our less capable, more primitive post-Ice Age ancestors. Yet all these methods of building and lifting, the knowledge of how to do such tasks, somehow simply vanished through the ages. All of which now remaining a mystery even with computer technology, an explanation still evades us. Thus to conclude this to be anything else than that of a relic, left by a far older, now lost civilization's work, we believe, would be highly illogical, and should appear illogical to anyone with a capacity to dissect the purposes for these actions, taken by an academia claiming to hold all the answers. All the while, actively concealing or ignoring any conflicting controversial evidence, truths that due to their belief in their power, laying within their reluctance to ever admit an incorrect hypothesis for the origins of species or the timeline of man, thus this doubling down on fallacy merely makes their persistence at sticking to said posits not only a damaging conspiracy, which robs us all of our heritage, but can also be perceived as an attempt to conceal anything which could alter the status quo. The octopus rock is an incredible feat of ancient engineering, and one, just like that of the polygonal masonry techniques that can be found at countless other sites the world over, is clearly a relic of a forgotten past, accomplished with the use of forgotten technology and knowledge. Just how big is octopus rock? How old is it for that matter? And how did our ancient ancestors accomplish these feats? Because our research deepens and our studies widen, our target, that of a currently hidden lost civilization, becomes clearer in the mind every day, and it is only a matter of time before they are fully rediscovered. To deny such facts will eventually become too ludicrous. It is a journey of discovery which is undoubtedly highly compelling. When an ancient ruin is academically studied, it will often be attributed as the work of a far more recent already studied, thus previously permitted group placed within known history, often a group simply incapable of such undertakings. Furthermore, not only do many sites hold evidence of a far older, yet far more advanced builder, having once been responsible for their construction, but such sites can often share characteristics with ancient ruins found far away, features from a said site also found on another continent on the other side of the globe. False doors, for example, found over countless ancient ruins spanning much of the world. This reoccurrence, along with many other similar signature features, are far from mere coincidence, and can only be explained by a past intercontinental, highly capable lost civilization, as we have postulated in the past in regards to many factors indicative of their megalithic legacy. Metal clamps identified on differing continents, varying in style and composition relative to what was presumably readily available, so although they differ in style, the knowledge of how to create and use such ancient technology had clearly been the work of this same civilization. The Pyramids of Uymer, for example, are six rectangular pyramids you would more than likely have never heard of and most certainly would not have been taught of their existence by modern mainstream academia. Built from lava stone without the use of mortar, they are uncannily reminiscent of many structures within the South Americas. They are located in the districts of Chacona, part of the town of Uymer on the island of Tenerife in the Canary Islands, Spain. The structures have been attempted to be dismissed as nothing but 19th century buildings, argued as the byproduct of contemporary agricultural techniques, yet their infamous shape and the signature building techniques incorporated into said structures are undeniably found elsewhere on Earth. Other pyramids employing the same methods and materials of construction can be found in various sites on Tenerife. In Uymer itself, there were 9 pyramids, any yet regardless of academics attesting to them being no more than a century old. Only 6 of the pyramids survived to this day. In 1990, adventurer and publisher Thor Hayedá became aware of the Canarian pyramids by reading an article written by Francisco Pedron in the Tenerife newspaper Dario de Avizos detailing the quote, real pyramids of the Canaries. As Hayedá had hypothesized a transatlantic link between Egypt and Central America, which is a subtle way of saying a now lost yet once global superpower who once ruled the waves, he became intrigued by the Uymer pyramids and relocated to Tenerife. Hayedá hypothesized that the Canarian pyramids formed a temporal and geographical stopping point on voyages between ancient Egypt and the so-called Mayan civilization's ruins, a claim we agree with, yet we posit that this contact was not between the Egyptians and Mayans, but was one and the same force, a far older now lost world conquering civilization, an ingenious group who not only passed on their wisdom to every corner of the world, but even built in ways we are yet to understand, unexplainable anomalies litter many ancient ruins to this day. Hayedá had predictably initiated a controversy with historians, esoterics, archaeologists, astronomers. Most of mainstream academia staunchly opposed such claims. By suggesting such a hypothesis, which flies in the face of already established paradigms, his research was predictably never pursued further than Hayedá personally took it. Yet I feel he succeeded in publishing a ruthlessly honest opinion in regards to the ruins, regardless of what was already apparently established as fact. And along with our research within Bosda caves, and the similarities, differentiations, and other investigative strategies utilized to support such an argument of a now lost, world-going super-civilization, we feel the evidence for our case is now all but overwhelming. There are far too many connecting factors to simply claim coincidence, and as the proof of this past civilization's capabilities becomes more apparent, and in turn researched, the closer we become to finally finding these now lost ancestors, it is a pursuit for the truth which we find highly compelling.


Hi everyone, Joe for jazbeastcasebrakes.com with another one box break of Bowman's Best Baseball. This is pick your team number seven, which was the last, we ate filled before seven, but seven is technically the last box of that particular case. All the other one boxes will come from a different case that we popped open for a previous break. I don't think it matters. I don't know if there's really like case hits or anything like that, but just to keep things consistent, big thanks to all of these folks right here for pick your team number seven on Wednesday the 30th. At the end, I'll, uh, if you follow the directions, we'll randomize the entry to see who gets those two transcendent spots, just incredibly close to filling folks. I think we're just a few, just a couple of these one box breaks away and a couple spots in that random number block away from getting it done. Remember in the random number block, it's not your, it's not, uh, it's not one spot. It's four spots in that random number block, but luck transcendent, transcendent, transcendent. It's almost there. And we only got one case, jazbeastcasebrakes.com. Let's get it done. Start the day off on a strong note. All right. Good luck. There's Aracis Aquino to 150 for Demetrios and the Reds. And there's our first of four autographs, Garrett Mitchell, some good penmanship there for Demetrios and the brew crew. There's Cade Cavalli, Demetrios, Nationals, we've got Atomic Chris Bryan. Is he on the move? Looks like the Cubs are just tearing everything down to, to rebuild. So maybe they are Torkelson for Demetrios and the Tigers and Shogo Akiyama, Reds, another one for Demetrios, he picked the right teams in this one. The fourth and final autograph is Nick York, Red Sox, Aaron Pettit this time. And there's Pietalonzo right there. There you have it. There is, pick your team seven, one box seven. And now if you follow the instructions here, you might have a shot at a couple transcendent spots. Let's sort your names by a first name right here, it'll be easier that way. Aaron Pettit got six teams, that's three entries, basically by an even number of teams, Bryan with an entry, Chris with six teams, that's three entries, Demetrios got eight teams, that's four entries, Yancey with two teams, that's an entry, Josh with two teams, that's an entry, Matt with two teams, that's an entry, Victor with two teams, that's an entry. All right, so that's a total of 15 spots. So it'll be the top two after six, four and a two. Top two after six, good luck, one, two, three, four, five, and six in final time. After six, it's Demetrios and Matt Arnold. There you go, we'll put BB seven next to your name, and there you have it, you're in. Thanks everyone else, we'll get them next time. I'm Joe, we'll see you next time, bye-bye.


Appalachian Wireless proudly brings you unlimited data. Unlimited data is only $80 a month for a single line. Four lines as low as $200. Better service, bigger savings. That's today's Appalachian Wireless. An East Kentucky network company. Get a speed slow to 25 gigabytes per line to 512 kilobits for phones and tablets. And 15 gigabytes for motors. See store for more details. Even though rivers, high water, and flooded areas have started to disappear, Eastern Kentucky is still feeling the effects of this weekend's storm. Floyd County officials are doing what they can to help ease the burden off residents. We might meet our county threshold of $145,000 with all the public. They still have to meet a statewide threshold of $6.3 or whatever it is, a million dollars on a statewide. So all those other counties are doing the preliminary assessments right now, too.  And if it meets that threshold, then the governor will call statewide and then they'll send it on to DC for a federal disaster. The Floyd County Fiscal Court issued a state of emergency for the county on Saturday. To be qualified for federal assistance, the county must undergo preliminary assessments and gather all damages to turn in for the county, city, and private properties. Right now, officials are temporarily fixing damages until it's determined whether or not the county will receive assistance from FEMA. First things first is the health and welfare of our people to make sure they can get in and out to their homes and get those temporarily fixed and the permanent fixes, if there's more damage will be fixed. If FEMA doesn't, if it doesn't get called, then it's a direct bearing of cost back to each individual county. Judge Executive Ben Hill says it depends on the entire state on whether or not Floyd County will meet the needs for government assistance. To report damages, use the number listed on your screen. In Prestonsburg, Shelby Porter, EKB News.