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☁️Introducing Real Cloud☁️ Cloud generation tool & shader that quickly adds clouds to your scenes! 🌟With a vast VDB library, it streamlines your workflow.✨ Already empowering 2200+ users! 🥇 Get yours now👉 #RealCloud #Blender3D #VFX #3DTools #CloudShader #b3d #shader #gamedev #geometrynodes #blenderaddon

43,878 görüntüleme • 2 yıl önce •via X (Twitter)

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Casey Sheep profil fotoğrafı
Casey Sheep2 yıl önce

☁️Let’s take a look at artwork made using Real Cloud! ☁️Get Real Cloud now👉

Levy Bergman profil fotoğrafı
Levy Bergman2 yıl önce

freaking awesome 👏 I just wanna turn everything into a fluffy cloud since I have the add-on

Caio dos Anjos profil fotoğrafı
Caio dos Anjos2 yıl önce

That's so fancy, very hand add-on

_man_Art_man_ profil fotoğrafı
_man_Art_man_2 yıl önce

Hi 👋🏻 very nice work

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Google just made every $50K master's degree look like a scam. They dropped "Google Skills" - 3,000+ AI courses from DeepMind, Cloud, and Google Education in one platform. And it's 100% FREE for Google Cloud users. The same content universities charge $60K for: - DeepMind's actual AI research training - 700+ hands-on labs with real cloud environments - Gemini Code Assist built INTO the learning - Direct hiring paths at 150+ companies While everyone's drowning in student debt, smart people are getting: ✓ Skills that actually get you hired ✓ Certificates employers recognize (82% hiring preference) ✓ Zero cost if you have Google Cloud ✓ Or $29/month vs $1,600/month for Udacity The kicker? 26 million people completed courses BEFORE this consolidation. You're competing against people learning AI from the team that BUILT Gemini. How to actually use this (not just browse): 1. Start with "AI Essentials" - no coding required 2. Use the hands-on labs (this is where 90% quit) 3. Get skill badges - they show up on LinkedIn 4. Target Google Cloud certification - top 2 highest paying IT certs 5. Join the 150-company hiring consortium The education industrial complex is panicking because anyone can now: → Learn from DeepMind researchers directly → Practice with $500 in free Cloud credits → Get hired without a degree One person's $60K tuition = 2,070 months of Google Skills. Let that sink in. Comment "SKILLS" and I'll send you: ✓ The exact learning path that gets you hired fastest ✓ Which certifications actually pay ✓ How to access everything free Your competition is still applying to universities. Time to eat their lunch.

Nozz

568,788 görüntüleme • 9 ay önce

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

265,778 görüntüleme • 2 ay önce

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Arcana Network

60,711 görüntüleme • 1 yıl önce

-> someone cloned claude -> design interface and -> made it completely free -> it's work on YouTube -> and also suitable for kids -> it’s called open design -> and it’s live on github -> same clean split-screen ui -> you get in claude artifacts -> prompt on the left, live -> design/code preview on -> the right, type what you -> want to build and it -> generates the ui in real -> time, but here’s the twist -> you pick the ai model -> not locked into one -> company, want to use -> gemini, mistral, llama, -> deepseek any model -> with an api work -> if you’re running local -> models with ollama -> that works too -> no subscription walls -> the big difference -> vs claude artifacts -> works with any free -> ai model you’re not -> paying $20/mo just to -> design, use free tiers -> local models, or whatever -> you already have access to -> fully local, your prompts -> and code never leave -> your machine unless -> you want them to -> no data training -> no cloud storage -> privacy by default -> no usage limits -> claude cuts you off -> after a few designs -> here you can generate, -> iterate, break things -> and rebuild all day -> the only limit is your -> don’t like how a button -> works, change it -> want to add your own -> components, go ahead -> you own the tool -> so if you’ve been gatekept -> by paywalls or worried -> about sensitive prompts -> going to some company’s -> servers, this fixes that. -> same workflow, more -> control, zero monthly fee

BeingInvested

12,134 görüntüleme • 1 ay önce

⃤ Video of a Black Triangle - What's the Frequency, Gerry? ⃤ "A very clear visual representation of what was on the radar. It resembled a very black, triangular or delta shape to it" "It was always slightly out of focus for some reason." "Garry Nolan told us to watch for the cloud formations." (If you scroll down to the bottom, I'll tell you the exact time stamps for each the UAP videos that were shown.) "We believe [it's NHI]. Either that or some very sophisticated technology that maybe we're reverse engineering." "There was a specific electronic signature (frequency) emanating from them when they were going into or coming out of the water, so they were easy to track." ~Bob Fish ~ Gerry Tedesco: August 29th, "we were in the RV, running tests on our equipment because we was planning on going out that weekend." John Tedesco: "And we noticed that we had a signature (on their spectrum analyzer) there that was well presented, very unusual for the area. And we kind of collaborated that with some radar data. Radar seemed to align with what we had on the spectrum analyzer. The object, we believe, was over the water at that point, simply because of the distance that we were able to capture it on the radar. It presented in a cloud layer, exited a cloud layer, produced a signature." Gerry; "This was a single thunderstorm cloud in the sky and the weather was great. We had cumulous clouds out there, mostly clear. And this was a dark, cumulonimbus cloud. It was a very dark thunderstorm cloud, and it looked out a place. " Ross Coulthart: "Do you think that that cloud might have been a fake cloud?" Donna Lee Nardo: "So Garry P. Nolan, he came out with us for our field study one night. He told us, Watch for the cloud formations.' And John, Gerry, and I saw one really nasty-looking...it looked like 10 motherships situated...oriented north to south, one night when we were doing the field study. And I believe this was early on in 2022. And it also was a clear night, but it just looked out of place. It was dark, yet there were lighted portions. But it was just so humongous. And we always remember that Garry had said, look at the cloud formations." Gerry: "Yeah, we definitely had some oddities out there." Coulthart: "I've had people, multiple people have sent me imagery. There's quite famous ones on YouTube where you see what looks like a cloud, and it's shaped just ever so slightly like a disc or a craft. And it's got the fluffy edges of a cloud, and then it suddenly maneuvers and just moves away. And I sometimes wonder whether something or someone is using clouds as a form of stealth or signature management." Gerry: "That's a possibility. We look at that, we look to see if it is a cloud. We use shortwave infrared, which does pick up moisture. And it'll actually differentiate the precipitation in a cloud, or moisture in a cloud, so we know it is a real cloud." Coulhart: "Did you do that with this cloud that night?" John: "Exactly, exactly. And this is something that we could determine that there wasn't moisture content." Coulthart: "So you were able to show it wasn't a classic cumulonimbus cloud, even though it looked like one." John: "No, no. Yeah, and the object was well hidden for a short period of time. Actually, relatively long period of time before it emerged from the cloud body." Coulthart: "So Donna is probably right: This is probably some kind of intelligent stealth management by something." Gerry: "It's a possibility." Donna: "Possibly." John: "It could very well be." (I like how all three will only go as far as, Possible and Could be.) Coulthart: "This is where it gets really interesting. Talk me through what happens next. " Gerry: "Okay, so we watched an object emerge from the cloud on radar. John and I quickly went to get our binoculars, we have what's called Vortex binoculars. These are high-end binoculars, great optical glass. John had began looking at the cloud with those, and he told me, we both went outside. I was trying to find one of the other cameras, scrambling, trying to get one of the other cameras going. "And John said, 'There's a black object moving between the cloud.' And then it was emerging from the cloud. So I grabbed my cell phone and videotaped it. While John was looking at them, we switched. And what we saw was something...originally it resembled a very black, triangular or delta shape to it, or bell shape to it. It had that Delta shape, or triangular shape." Coulthart: "And was this showing up on radar at this stage, that delta shape?" Gerry: "Yes." John: "Yes." Coulthart: "Wow!" John: "Yes, we did have a radar target." Gerry: "We tracked it on radar. On radar, it appears to separate into two more objects, which is quite interesting." Coulthart: "You found something interesting in the frequency, and you can't talk about it, can you? Has the FBI asked you, not to talk about it?" Gerry: "Yes, that's the sensitive part. There was quite a bit of interesting signals, but that goes into signals intelligence, which we can't talk about." Coulthart: "Just let me guess. 1.6 by any chance?" (They all laugh) Donna: "You've been talking to people." Gerry: "No comment." Coulthart: "No, it just fascinates me. Is it 1.6 gigahertz, or megahertz? I'm trying to remember." John: "It's gigahertz. Yeah, I know with Skinwalker Ranch, I know the one, 1.6 seems to come up quite a bit. There's also a three-gigahertz signal, supposedly." Gerry: "There's a few others, too. We'll leave it at that." Coulthart: "No, but it's interesting. It's such a consistent thing, and I'm really interested because all around the world, people are contacting me, talking about 1.6, in particular, but also about three gigahertz. And nobody's explaining it. But often it's an indicator." ~~~From My Bob Fish Blog~~~ Bob Fish: "In that same TS/SCI building cafeteria in El Segundo, I had lunch with a senior USAF NCO who had worked for Project Blue Book in the 1970s (after it had been 'officially disbanded'). He was an ELINT technician (electronic intelligence) who flew in RC-135s from MacDill AFB in Florida. The 'normal' target was Cuba where they did lots of snooping and sometimes challenging the Cubans to turn on radar and other systems. "He said there were times when they were diverted from these missions to track UFOs off the east coast of Florida. His claim was that UFOs had a landing and takeoff spot in the ocean east of Miami, north of Bermuda. He also claimed there was a specific electronic signature (frequency) emanating from them when they were going into or coming out of the water, so they were easy to track. On several occasions they filmed the UFO as it transitioned from water to air or vice versa. High quality film of UFOs is 'out there' somewhere!" (What was the signature? 1.6 gigahertz? 3.0?) ~~~End Bob Fish Excerpt~~~ Coulthart: "And as you say - without giving away the frequency that you detected - you detected a frequency anomaly on your spectrum analyzer. You saw it there. Then you got it on your radar. And then when you visually observed it with the binoculars, the vortex binoculars, you then corroborated that object on the radar as well. So you've got four separate data points to corroborate something anomalous." John: "And a very, very clear visual representation of what was on the radar. The interesting thing I will say that we had observed flights of commercial aircraft at the same time through these lenses, these very clear lenses that we use. The commercial aircraft was extremely detailed, in focus. You can even make out the writing on the on the aircraft. The object itself? No." Gerry: "It was always slightly out of focus for some reason." John: "It was poorly presented." Coulthart: "And you gents would understand, and I'm sure Donna as well, that the Alcubierre-drive principles. That, essentially, if something is coming, if it's warping space time, there's allegedly some kind of plasma or some kind of distortion field around the object. Do you think that might explain what you were seeing? Gerry: That's a possibility." John: "That's a very strong possibility." Gerry: "It's something we're looking into. There was also, there was a shimmer around it. Definitely a possibility of some kind of field effect around it." ~~~ Time Stamps Extremely bright, luminous sphere over the ocean. Not visible to the naked eye. - 13:33 The Black Triangle - 33:31 Orb-Like Object Over Land in Farmingville, N.Y. (Where my sister lives) ~ 58:18 Similar to what @MeaganOurada saw - 1:14:05

Joe Murgia

14,232 görüntüleme • 8 ay önce