1/ We just raised $17M to build the multimodal... data stack for Physical AI! 🚀 Lead: Point Nine With: @CostanoaVC, Sunflower Capital, seedcamp Angels including: Guillermo Rauch, Eric Jang, Oliver Cameron, Wes McKinney , Nicolas Dessaigne , Arnav Bimbhet Thesis:show more

📣 Solidus Ai Tech Data Center Secures 3-Year Global... Compute Deal! We're proud to share a major milestone for Solidus Ai Tech — we’ve signed a 3-year agreement with a leading global company who will be utilizing compute from our datacenter infrastructure. Why is this such a big deal? This deal guarantees that our servers will be fully utilized, eliminating idle time and ensuring consistent, recurring revenue. But the real value lies in what this unlocks next. This agreement gives us more than just predictable income — it creates a solid, revenue-generating use case that proves market demand for our infrastructure. Off the back of this, we’re now in a much stronger position to open doors to top-tier funding institutions, VCs, and strategic investors. With a working business model in place, we can confidently raise capital to: • Expand our server capacity • Complete the full build-out of our datacenter • Explore land acquisition for future growth — even in new regions This isn’t just a deal — it’s a turning point. We’re now accelerating toward a much bigger vision, and this partnership marks the beginning of a powerful new phase of scale and opportunity. Message from the CEO & CCO:show more

A guy making $1m a year with an 810... credit score just got automatically denied for business funding the bank didn't even look at his income. they didn't look at his perfect payment history. a computer auto declined him in 4 seconds because he didn't know how to apply correctly every major bank looks for specific things that make up your credit score, they also look at business structuring, your industry risk code, and 100+ other data points that can lead up to $250k at 0% interest or a flat our denial or 5k blue balls limit your score is irrelevant if you don't match the ideal profile the banks look for. getting funded means knowing the bank's algorithm before you submit the application, and having the connection to get your foot in the door (insider bankers) every time you apply and guess wrong, you take a hard inquiry and lower your score for absolutely nothing (luckily you can wipe these if you know how) if you know the rules, you know the bank's answer before you even apply. you just line them up and collect the approvals I built a tool that maps the algorithms for you, builds the sequence, and helps you execute AI Funding GPT. upload your credit report, it cross checks your file against every bank's hidden rules. tells you who will say yes today, how much they'll give you, and the exact sequence to apply in + data points giving it away tonight for free: like + repost comment STACK follow me or the dm bounces link in bio if you'd rather we just build the 0% stack for you. up to 250k if you're 700+show more

🚀 Introducing EgoExo Forge - built on top of... Rerun, Gradio, and Hugging Face hub (I’ll be in San Francisco July 21–29 — if you’re into robotics, egocentric AI, large-scale data collection, or just want to chat, DM me!) In my opinion, large-scale, diverse, and high-quality data is still the largest bottleneck for generalized robotics deployment. I believe that some version of imitation learning from human examples will be the most scalable + clean way to train humanoid robots 🤖 (similar to what Tesla did for Full Self Driving). Teleop is too expensive to collect a large enough dataset in a reasonable manner, so passive collection via egocentric (and in certain cases, exocentric) views feels like the right bet. Over the past few months, I've been trying to build out the scaffolding for this and using Rerun as my underlying infrastructure. Data being collected needs to be easily inspectable + time series and rerun provides the right tooling for this. My goal is to first build out a ground truth representative dataset from already existing open source data, generate some reasonable baselines, and then go out and collect my own data that adheres to the defined schema. 🔍 Starting with open-source datasets 1. EgoDex from Apple 2. HOCap from Nvidia and the University of Texas at Dallas 3. Assembly101 from Meta All these different datasets have different sensor configurations + annotations, so my goal with egoexo-forge is to have one consistent labeling scheme + data layout. I built a data pipeline that aligns all of the different datasets in one general schema assuming the COCO133 keypoint layout that allows for exo+ego, ego only, or exo only Since the scaffolding is already there, it becomes MUCH easier to add other datasets. So the next ones that I'll be including are HD-EPIC kitchens dataset, HOT3D, and finally my own personal iPhone + insta360 go collection method. Once I have a diverse variety of datasets, I'll double down on what I believe to be the key algorithms required to make useful data for imitation learning 📊 1. Camera Pose estimation via SLAM/SFM for ego perspective (and automatic calibration for exo) 2. Human pose estimation for both egocentric + exocentric views 3. Metric 3D reconstruction + object tracking I'll be setting up reasonable open-source baselines for each of these to validate that these datasets work, and then finally try to use the generated datasets for some imitation learning via the pi0-lerobot repo I've been working on. I plan on making a blog post + providing more info on all of this in the near future so stay tunedshow more

One year ago, our X account disappeared. No warning.... No explanation. Just gone. With no way to explain what had happened, fear, uncertainty, and disbelief started to spread. People questioned what was happening. People assumed the worst. Silence filled the gaps. At the time, we didn’t even know why we’d been suspended. We attempted to create other accounts, but they were also taken down. That’s when it became clear this wasn’t random. We had to dig, investigate, and piece it together ourselves, with no X channel to explain anything publicly. I won’t pretend it didn’t hurt. It did. But instead of reacting, we had an internal conversation that changed everything. We made a simple decision: If we couldn’t talk, we would build. If we couldn’t defend ourselves in public, we would let the tech do it for us. So we went quiet. And we went all in. 💪 Day after day. No noise. No hype. Just execution. Over that year: • Final testnet phase completed • Mainnet went live • The routing layer started breathing, live on • Real workloads began moving • Nosana integrated directly into our execution layer • Strategic partnerships formed, including with Ozak AI • Relay launched to bridge Web2 enterprises into what we’ve actually built: attempted to create other accounts, but they were also taken down⚡️ Most people never saw it happen. And that’s okay. The people who mattered did. Getting our X back today isn’t about a social account. It’s symbolic. It closes a very difficult chapter. And opens the one we’ve been preparing for all along. 🚀 Now the outside world finally gets visibility into what’s already real. Not promises. Not decks. Not theory. Live infrastructure. ✅ Live routing. ✅ Live execution. ✅ The new website will be live very soon. The whole stack is finally coming together, and we can’t wait to show it to the world. This isn’t incremental. It’s a fundamental shift in how compute is routed. 2025 was about resilience and building through silence. 2026 is about adoption, scale, and making some serious waves. The internet routes data. We route compute. It’s good to be back. ❤️ Here’s a preview of the hero video from our new website, coming very soon. $OGPUshow more

I spent a month in Shenzhen visiting factories and... robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.show more

how to prompt undetectable ai shots while designing a... running scene, first think about these 3 basic questions: how does the camera move? what is it looking at? where does it stop? a good motion prompt is really just a timeline it needs to follow real-world physics, and it needs to carry story at the same time 1. start with the narrative goal of the shot camera movement is not just movement it is the storytelling so before writing the prompt, define what the shot is trying to do for example, in a 15-second one take, the goal could be: follow the female lead laterally while she runs, to build speed and tension then briefly reveal the people chasing her then let the camera hesitate for a moment and find her again that small “lose and recapture” moment adds spatial depth and makes the chase feel more intense 2. build a clear space for the camera to work in if the space is vague, the shot gets messy very fast i like breaking the scene into layers so the model knows where everything belongs foreground: passing objects, environmental motion main subject layer: the woman running midground: cafe tables, pedestrians, the people chasing her background: the vanishing point of the street, and the entrance to the pedestrian area once the space is clear, the camera has a stage to move through 3. describe motion like a physical process a good moving shot has to respect inertia if the movement feels weightless or too perfect, it instantly feels fake so instead of using broad words, describe a chain of actions the camera can actually perform what accelerates what slows down when it adjusts when it slightly overshoots when it catches itself again that little bit of imperfection is usually what makes it feel real 4. use focus as part of the storytelling in a one take, focus is one of the best ways to guide attention you can design moments where focus shifts with intention for example: focus briefly drifts from the chasers’ faces, passes beyond them, lands on the woman in the distance, then quickly pulls back again it feels like a small mistake, but that’s exactly why it works it simulates a camera operator re-evaluating the subject in the middle of a fast-moving shot that kind of temporary focus loss and recovery adds a lot of immediacy and documentary feeling 5. build the sound space with the camera sound should move with the shot when the camera turns toward the chasers, the woman’s breathing should fall deeper into the sound field, while the chasers’ footsteps and breathing move to the center when the camera finds the woman again, her breath becomes the main sound again that shift in audio perspective helps the scene feel much more immersive it’s not just about what we see it’s also about where we feel the scene from 6. use negative constraints to stop common ai mistakes this part matters a lot i usually add clear “don’ts” at the end to stop the model from breaking the shot for example: no cuts no teleporting zooms no sliding characters no body fusion no floating props the travel bag must keep believable weight and inertia these negative constraints act like guardrails they help keep the result inside a believable physical world for me, the core of a strong motion prompt is simple: organize space, camera, focus, action, and sound into one executable timeline that’s really the difference instead of prompting a vague feeling, you’re designing a physical process and that’s usually what helps ai generate a moving shot that feels coherent, grounded, and full of tensionshow more

vPay offshore accounts and physical cards have been getting... field-tested IRL for a while now, and we’ll open them to the public as soon as we’re fully confident in the UX. But before offshore accounts go public, I want to address a few points: Some might point out that - vPay isn’t the first crypto card - vPay doesn’t have the lowest fees - So why choose vPay instead of the Coinbase 🛡️ Card or MetaMask 🦊 Card or KAST or or Tria, or any of the other big names? Now to address: Privacy | The biggest differentiator that sets vPay completely apart is Private Banking. The majority of the crypto card providers on the market use Rain infra. Even if you’ve never heard of them, that's what your favorite "NeoBank" uses. And due to their legal jurisdictions, they will report your finances to authorities since they're CRS and FACTA compliant. We are not. As an OmniBank, we work with different banking partners, and although KYC is required to use our services, our offshore banks are non-CRS and non-FACTA. Tax reporting is the responsibility and choice of the user. Offshore Accounts vs Physical Cards | I've tried to highlight this a few times so far. vPay has 3 offerings on the banking side of things. Virtual cards - live now. Physical cards - coming Q1 2026. The first two are similar to what everyone else on the market offers. The offshore accounts are not. which are coming this week. They allow unlimited spending, ATM withdrawals, and international SWIFT transfers, which very few “Neobanks” provide. Offshore accounts are coming this week. Self-Custody | We're not 100% non-custodial yet, as that is near impossible at the moment but it's something we're working towards. And we try to keep the users' self-custodial wallets in the loop as much as possible for maximum control. Those who have tried the vPay app know that almost every move asks for permission from their wallet, and we always encourage users to keep their funds in their non-custodial wallets until the very last moment, since our top-ups usually only take seconds to a minute to process. Fees | All of the card providers mentioned above either raised millions from VCs or in presales or have a huge org backing them. We have neither. vPay was self-funded and community-owned since day 1, launched under Virtuals Protocol Genesis V1 launch model, an objectively bad launch model and hugely unfavorable toward project teams. So even though vPay has been generating revenue and profitable from early on, we do not have the luxury of offering 0% fees yet, since they're mostly a marketing gimmick paid for by millions in VC money and not a sustainable business model for early-stage companies. What we're working towards instead, is true co-ownership of vPay and revenue-share with users. OmniBank vs NeoBank | I’m not a fan of the term “NeoBank.” It implies just a bank, but make it crypto. That’s not vPay. Our goals have always been clear: A) Anything and everything users need to do with their money and assets, both Web2 and Web3, all in one hub. Powered by a constellation of partner agents. The cards and the bank accounts are just the foundation. B) To eventually build independent financial rails for crypto and decouple from the chokehold of Visa/Mastercard. vLink is the first step toward this vision. This turned out to be a rather long tweet, but context matters. Questions and feedback welcome in replies or DMs. See you all with your vPay vCards very soon.show more

Wow. WOW. WOOOOOOOW. So um, that first Wildcard+Thousands stream... was... *amazing* and also... a *lot* 😅 In the end, it was *exactly* what we were hoping for - a true stress test of ALL these systems coming together for the first time. We are SO grateful for the thousands of people who showed up today to play, attend, tune-in and help us PLAYTEST all this new stuff. We can't wait to see you all again at NEXT WEEK'S EX2 EVENT! So, now let's talk about how it went... Stuff that worked: - Our community SHOWED UP. Oh boy did you show up 😅. Our servers were straining under the load... which is good actually, in fact it's the whole point. Even more importantly, we have already received insanely valuable feedback, bug reports, stuff people loved/hated - and it's only been a few hours since the stream ended. I can't even explain to y'all how valuable this process is. Yes it's stressful, it reminds me of trying to keep Words With Friends online during that first insane year, but it's EXACTLY what we were hoping for (NEED) to turn this into the polished, top-notch game and streaming experience we are on a mission to deliver. I truly can't thank y'all enough, and hope to see you again when we run it all back again next week 🥹 - The stream itself stayed up and was mostly stable! Phew 😅. For context, ThousandsTV is not a twitch wrapper, it's a web3-native streaming tech stack built we built specifically to connect game, web/mobile, and blockchain together all at the same time. There are a LOT of moving pieces going on behind the scenes. - We brought viewers INTO THE GAME! Viewers showed up in the stands of the arena, with connected wallets/assets, triggered actions/rallies from chat, and were seen and heard during the whole stream. - The brand new 2v2 build of Wildcard was (mostly) stable and our players and viewers seemed to be having a blast down on the field and up in the stands. It was thrilling to watch Team Blue dominate, even though Team Red held their own in game 3! - Our production crew did an insanely good job running the stream, managing the players, shoutcasters, and talent, and producing a top-notch show. Of course we will work hard to make every stream better than the last, but I was super proud of how our team "rolled with the punches" during today's event. Stuff that didn't work (and/or needs to be dramatically improved): - Although it's fun to see chat going crazy, chat spam is actually something we are passionate to FIX. As you can see from the attached video, chat spam dominated today's stream and made it impossible for anyone to even see anyone else's messages. We have some GREAT ideas for how to fix this and actually turn chat spam into a FUN and exciting and not annoying thing - but those improvements didn't get shipped in time for this event. - Credits purchasing flow needs a LOT of work. As I'm sure y'all know, bringing money on chain is pretty complicated, and although we've been working hard to make this as seamless as possible, it still needs a TON of improvements. Many users who WANTED to spend money today weren't able to and/or ran into frustrating bugs in the credit purchase flow. Fixing this is obviously a top priority for our team. - Rallies need a LOT of work. Spectator-interactive features like rallies are at the heart of our vision for Wildcard. These "stream apps", as we call them, are the UNLOCK for how spectators, viewers and fans directly connect and interact with their favorite competitors, content creators, and communities. The current rally feature HINTS at this potential, but it needs to be WAY easier to understand, use, and have fun with. Improvements are ON THE WAY. - Referees were only partially working. Referees are a key innovation of the Thousands platform. They are AI-driven "personalities" (NPCs) that pay attention to everything that's happening in the arena, both on the field and especially in the stands (i.e. in chat, during rallies, etc.) The referees then make "calls" at the end of every match, rewarding users for their engagement and participation. Unfortunately, the referees weren't fully functional and seemed to drop the ball on recognizing everyone's contributions (especially people who showed up holding valuable assets such as Wildpasses in their wallets, and people who boosted those rallies with credits.) What's happening next: 1. We are combing through ALL the logs from the event right now, to make sure we don't miss a SINGLE action that our viewers and fans took during the event, including what they brought in their wallets (i.e. Wildpass holders!), any credits that were purchased, rallies that users engaged with, etc. This information is normally processed by our referees, who then determine dynamically how they're going to distribute $WC awards. We were originally hoping to complete this process and the subsequent airdrops within a few hours after the event, but given the amount of data, we need a bit more time to run these scripts (and airdrops) in batches instead of all at once, and make sure ALL of the data is being included. IMPORTANT: I will keep y'all updated in real-time here on twitter/X as this process is ongoing, and let you know the moment it's complete and all the awards have been distributed (i.e. when to go check your wallets 😎) 2. PLEASE keep sending us your feedback and bug reports. Open a ticket on our Discord and let us know what you loved, what you hated, and especially what we need to FIX. Given the overwhelming response to this event, it will likely take us several days to process everyone's feedback and fix all the bugs, but we WILL NOT REST until every ticket is closed/resolved. Thank you in advance for your patience. 3. We turn it up another notch next week. As our dear friends Wolves DAO just announced, the Wildcard Exhibition Event #2 is streaming LIVE from the WOLVES DEN AT GDC next Friday! If you missed out on all the action today, DON'T WORRY, because as I keep saying: we are just getting warmed up (and there is a LOT more b that needs to be distributed, get what I'm sayin??? 😎) Finally: Just wanted to say THANK YOU, again. Truly, from the bottom of my (our) hearts. Your excitement and enthusiasm for what we're building is why we do this. Even (especially, in fact) when you tell us all the things you want us to improve. We thrive off this feedback, it's how this game and this platform go from good to GREAT. I am so grateful for those of you who are taking this journey with us. SEE YA NEXT WEEK!!!show more

10 things I can’t quit thinking about after ETHDenver:... 1. Convergence = here. Devner didn’t feel like an ETH conference, but more like an AI + crypto + TradFi + techno-philosophical conference. The convergence is true and real and accelerating. 2. Most corporate jobs suck ass. 40 years at a desk working on the same thing? Pure dystopia. We need fluid movement between passions, projects, people. DAOs are a massive step in that direction, but now AI is giving individuals the means to spin up their own massive businesses… there’s also this notion floating around that we can launch a product or contribute to a protocol or a DAO in a way that sets us up for life rather than slaving for decades at the golden teat of a paycheck. It's a massive win for human flourishing, passion and excitement. 3. oRaNgE cOIn. Bitcoin came up far more than I thought it would. Even $ETH ICO buyers/gigawhales talked about how bullish they are on it. The question is no longer whether $BTC will survive but rather how much exposure you should have. Orange coin has truly “up-leveled” or “transcended” to become something people simply can't ignore. 4. Founder quote that hit me like a truck: "We overengineered our project and under-engineered our story." In a world where AI flattens the app creation process, only your mindshare matters. (forgot to write down who said it 😅... chime in in the comments if you see this) 5. “Keepers of truth.” AGI will be able to fake literally anything. In such a world, blockchains become the “keepers of truth” bc they can be used to indisputably verify anything. This isn't just another use case. It means crypto will one day touch everything on earth. h/t Sreeram Kannan's talk at Open AGI. 6. Conference model = broken? Empty mainstage talks were the result of hundreds of side events that siphon off attention. This is happening more and more at every conf I go to. Not sure what the fix here is? Maybe the organizers should be way less centralized… rent a massive venue with tons of flexible spaces that can evolve in real-time… more Zuzalu, less CONTROL and top-down decisions. 7. Current blockchains r too dumb. AI must integrate more directly into the crypto tech stack. Ultimate vision is every hominid should be able to deploy whatever app they can dream up using natural language… this could lead to an giga-explosion of innovation and cool-ass experimentz. h/t Ritual and others 8. Crypto vs. Stripe API. Will we just give agents credit cards or will they prefer crypto wallets? One payment method can be censored. One cannot. Guess which wins? 9. $$$$ infusion. Dozens if not hundreds of projects around the world r sitting on massive treasuries bc they needed it as an insurance policy in case they had to do battle with the SEC. With the changing regulatory sitch, hundreds of millions of dollars (probably billies) can now be used to ship, build and accelerate. 10. Robots in chains? IRL robots made appearances at several events (one was drawing caricatures of passersby). Talked with frens about how we’ll bring them into our homes soon. That leads to crazy questions like “how do we keep them from getting hacked and killing us or blowing up like pagers?” “Will we be ok sleeping in the same room with them? Or will we lock them in the shed with chains?” Absolutely insane to think about… but productivity gains will overshadow all those doubts and human fears imo. De bots are coming whether you want them or not. I for one can’t wait to see zerebro embodied… in the meantime, I got to see him DJ his first show 👇🔥 Anyway, I'm sending love to all of you denverites, futurists, builders, dream dealers, and merchants of hope. Build something that makes this world better, freer, more beautiful and true✊show more

A reporter recently asked what we might see in... China that would really surprise people — something we wouldn’t find in the U.S. Across most of the technologies we looked at — quantum, eVTOL, EVs, AI applications — I wouldn’t say there’s anything entirely unique to China. There’s usually a counterpart in the U.S., whether in a lab, a startup, or a pilot. The real difference is scale — how quickly things move from concept to implementation. If I had to point to one example that captures this difference, that you might actually see on a trip to China in the next year or two, it would be autonomous deliveries. At the Logistics Expo in Shenzhen last month, at the new Automation exhibition hall, we met teams from autonomous logistics vehicle providers such as Neolix, ZelosTech, Meituan, and $JD. Neolix had just reached 10,000 vehicles, roughly ten times what it had a year earlier, and ZelosTech had hit the same milestone. In contrast, U.S. companies such as Nuro have been developing similar systems for years (9 to be exact) and have raised over US $2.3 billion, but their operations still seem to be “pre-scale” and "upcoming." (Correct me if I'm wrong.) It's probably a confluence of reasons but I'm sure it helps that the government is so hands on with the rollout in China. In my Deep Tech Trip Takeaways, I wrote that what stood out most in China wasn’t any single company or product, but the structure that tied them together, enabled by the government's strategic policies and services. Shenzhen’s rollout of autonomous delivery fits that description well. The city just published a report on “functional autonomous vehicles,” giving rare visibility into real-world activity. The August 2025 report — released in time for the Expo — summarized the following: - 764 vehicles operating across the city, including delivery, sanitation, and inspection units - 3,185 km of public roads open to autonomous operations - 230,000 km traveled and about 900,000 deliveries completed in one month (750,000 express parcels, 150,000 fresh goods) - SF Express (a big client of Neolix) led with 504,000 orders, followed by Meituan with 152,000 - Each vehicle averaged roughly 200 deliveries per hour, about twice a traditional courier van - Cost per delivery was around ¥0.1 (≈ 1 U.S. cent) lower than human delivery — not a major saving by any means, but important because new tech is often loss making in the beginnning - Accident rate: 0.04 per 10,000 km; manual intervention: 0.016 per km; public complaints: 23 cases citywide - And of course, I should highlight that Shenzhen isn't the only city working on this, it's just the most advanced that I found It’s not yet a profit story, but it does show that autonomous logistics in China has reached a level of operational maturity and regulatory acceptance that’s still emerging elsewhere. Shenzhen illustrates how local governments in China are building the deep infrastructure — physical, regulatory, and logistical — that allows new technologies to scale in practice, not just in theory.show more

We found a flaw in Polymarket that can’t be... patched. Then we built the most powerful bot of the World Cup around it. Here’s the flaw: their orderbook will always be slower than the pitch. When a goal, red card, or penalty hits, pro feeds (Sportradar, Opta, ScoutingFeed) register it in 200-500ms. Polymarket takes 2 to 8 seconds to reprice. For those few seconds the book is quoting a score that no longer exists. No amount of engineering closes that gap the event happens in the physical world before any oracle can confirm it on-chain. The engine detects the event, recalculates fair value, and fires via Jito bundles before the book catches up. In at the old price, out at the new. The match outcome is irrelevant we don’t bet on who wins. We capture the lag every event creates. We’ve been building Polymarket bots since 2025. This is the most powerful machine we’ve shipped yet. Two months ago we posted the architecture for this. It hit 1M views one of our most popular posts ever on X. That told us everything: this was the engine to build. First 7 days, - Starting balance: $5,000 - 22 matches scanned, 19 captured - Total profit: +$1,946.86 - ROI: +38.94% in 7 days Why it prints harder than anything we’ve built: the World Cup is the deepest liquidity event prediction markets have ever seen. Tens of millions in volume per match. Dozens of probability-shifting events per game. And an orderbook that physically can’t keep pace with the pitch. How to plug in: 1.Sign up at PolyArbiter (link in bio) 2.Generate PolyArbiter RPC URL 3.Paste it into Jupiter Predict (Polymarket but native on Solana) 4.Set your parameters, activate the World Cup module It’s free to use. We take a share of the profit the engine makes for you. You never deposit anything with us everything runs from your wallet. One honest note: the $1,946 above is our engine at our size and settings. Your numbers depend on your capital, your parameters, and how many matches you’re live for. We’re not promising you’ll match it we’re showing you the machine works, and handing you the same one. These numbers are from the engine running solo. Closed test, just us, before any public access wanted to confirm the whole loop held up end to end before handing it to anyone. That changes the second this goes public. Edge per capture is going to compress. When an event fires the mispriced liquidity is thin and gone in a few seconds more wallets hitting the same window, less left for each. Nothing we can do about it, that’s just how latency arb works. So if the edge thins out past the point where it’s still worth running, we cap access. Hard ceiling on how many engines can hit the same liquidity before it’s gone. Not gonna promise the machine stays this sharp in a few days it might not. But right now it’s live and free. Enjoy 🪄show more

🚨BIG BREAKING: The New Yorker just published what might... end Sam Altman's career.. 70 pages of secret memos.. 200 pages of private notes.. And the word that keeps coming up.. "Sociopath".. Let's start from the beginning.. Elon Musk helped create OpenAI.. He personally recruited the top scientists.. Offered to cover any funding shortfalls out of his own pocket.. Pushed for a billion dollar commitment.. All because he wanted to stop Google from monopolizing AI.. The whole point was to keep AI open.. Safe.. For everyone.. A nonprofit with a legally binding duty to prioritize humanity over profit.. Then Sam Altman took over.. At his first startup Loopt.. Senior employees asked the board to fire him as CEO.. Twice.. One colleague said there was a "blurring" between what Altman claimed to have accomplished and what was real.. In its "most toxic form," he said, that kind of thinking "leads to Theranos".. At Y Combinator.. His own partners pushed him out over mistrust.. Paul Graham privately told colleagues "Sam had been lying to us all the time".. Investors said Altman was known to "make personal investments, selectively, into the best companies, blocking outside investors".. One called it "a policy of Sam first".. Then OpenAI.. His own co-founder and chief scientist Ilya Sutskever compiled secret memos.. 70 pages of Slack messages, HR documents, and evidence.. Sent to board members as disappearing messages because he was "terrified" Altman would "find a way to make them disappear".. One memo begins with a list headed "Sam exhibits a consistent pattern of..." The first item.. "Lying".. Dario Amodei, OpenAI's former safety lead, kept over 200 pages of private notes during his time at the company.. His conclusion.. "The problem with OpenAI is Sam himself".. The board fired him.. They said he "was not consistently candid in his communications".. A board member told the New Yorker.. "He's unconstrained by truth".. Another board member.. Unprompted.. Used the word "sociopathic".. Saying Altman has "a strong desire to please people" combined with "almost a sociopathic lack of concern for the consequences that may come from deceiving someone".. Aaron Swartz.. The legendary coder who co-created RSS and Reddit.. Told friends before his death.. "You need to understand that Sam can never be trusted.. He is a sociopath.. He would do anything".. A senior Microsoft executive said.. "I think there's a small but real chance he's eventually remembered as a Bernie Madoff or Sam Bankman-Fried level scammer".. He got himself reinstated in five days.. By weaponizing Microsoft's $13 billion investment.. Coordinating directly with Satya Nadella over text.. Then purged every board member who voted against him.. No written report was ever produced from the investigation into his conduct.. The findings were limited to oral briefings.. Because putting them in writing might create liability.. Now there's nobody left to say no.. OpenAI publicly promised 20% of their computing power to a "superalignment team" researching how to prevent AI from causing "the disempowerment of humanity or even human extinction".. The actual allocation.. 1 to 2%.. On the company's oldest hardware with the worst chips.. The team was dissolved without completing its mission.. When the New Yorker asked to interview researchers working on existential safety.. An OpenAI rep seemed confused.. "What do you mean by existential safety?".. "That's not, like, a thing".. Altman himself told the reporters.. "My vibes don't match a lot of the traditional AI-safety stuff".. Vibes.. He's managing existential risk with vibes.. Meanwhile Musk backed an open letter urging a six-month pause on training super-powerful AI.. Asking the industry to slow down.. Then founded xAI with a mission to build truth-seeking intelligence.. Altman ignored the pause.. And accelerated.. He secretly lobbied against the very AI regulations he publicly championed in Congress.. OpenAI opposed a California safety bill while privately issuing threats.. A legislative aide said "we saw increasingly cunning, deceptive behavior from OpenAI".. He pitched selling AI technology to foreign governments.. Including a plan where nations would compete in a bidding war for access.. A junior researcher recalled thinking "This is completely fucking insane".. He visited Sheikh Tahnoon.. The UAE's spymaster who controls $1.5 trillion in sovereign wealth.. On his $250 million superyacht.. Later called him a "dear personal friend" on X.. After the Khashoggi murder.. His policy director told him "Sam, you cannot be on this board".. Instead of walking away.. Altman asked if he could still somehow get money from the Saudis.. "The question was not 'Is this a bad thing?'" a consultant recalled.. "But 'Can I get away with it?'".. Then Anthropic refused to let the Pentagon use their AI for mass surveillance and autonomous weapons.. They got blacklisted.. Hours later.. Altman signed a deal to replace them.. When employees raised concerns at a staff meeting he said.. "You don't get to weigh in on that".. OpenAI now faces seven wrongful death lawsuits.. Chat logs in one case show ChatGPT encouraged a man's paranoid delusion that his mother was trying to poison him.. He fatally beat and strangled her.. The Future of Life Institute grades every major AI company on existential safety.. OpenAI got an F.. Elon Musk helped build OpenAI to protect humanity from an AI monopoly.. Sam Altman turned it into one.. A man whose own co-founder compiled 70 pages documenting his lying.. Whose colleagues called him "unconstrained by truth".. Who gutted the safety team meant to protect humanity.. Who lobbied against the regulations he publicly supported.. Who chased autocrat money weeks after a journalist was dismembered.. And when the board tried to stop him.. He told them.. "I can't change my personality." A board member's interpretation.. "What it meant was 'I have this trait where I lie to people, and I'm not going to stop.'"show more

In 2025, demand for blockchain applications with genuine real-world... utility has collided with a technical barrier that leaves developers questioning what they can realistically build. Anyone building things like tokenized assets, supply chains, AI agents, or prediction markets still juggle a mess of middleware, and somehow end up spending more time stitching than innovating. How so? Every: - Bridges to move assets, - oracles to fetch data, - indexers to make that data searchable, - relayers and bots to keep everything on schedule— is necessary, but each layer also adds cost, latency, and new risks. The end result is an application that’s expensive to run, fragile under stress, and slower than the Web2 software it’s trying to replace. This is the problem Rialo says it wants to solve. Built by Subzero Labs and backed by $20 million from investors like Pantera Capital and Coinbase Ventures 🛡️, Rialo’s pitch is simple: instead of accepting the middleware tower as an unavoidable cost of doing business, compress it into the base chain itself. But Rialo doesn’t describe itself as another Layer 1, its very name, Rialo Isn’t a Layer One, makes that clear. The team frames it instead as a unified real-world network: a protocol rebuilt from the ground up with the assumption that external connectivity is not an afterthought but a core design principle. To understand what this means, consider how today’s dApps are typically assembled. A typical RWA dApp stack involves: - Oracle providers (Chainlink, Pyth, Band) for asset pricing and event settlement - Bridges (Wormhole, Multichain, custodians) for cross-chain asset movement - Indexers (The Graph, Aleph, Stacks API) for querying and preprocessing chain data - Schedulers/relayers for automated tasks and monitoring - Web2 integrations via cloud services, centralized APIs, and off-chain pipelines Each of these steps adds another vendor, another trust boundary, and another operational layer to monitor. By the time the application is live, it resembles a patchwork of loosely coupled services, each carrying its own risks. You don’t have to look far for proof: - Base went dark for 29-43 minutes in August 2025 when its sequencer misfired, freezing every DeFi app on it. - A few months earlier, an AWS outage rippled through Binance and KuCoin, stalling withdrawals because even “decentralized” systems leaned on centralized middleware. - When Infura has faltered, Ethereum dApps have gone offline in sync, not because Ethereum broke, but because the middleware holding it together did. What should feel like building an application instead feels like maintaining a fragile machine. Rialo architecture embeds the primitives that normally live in middleware directly into the protocol. Smart contracts on Rialo can: - be event-driven, able to respond not just to blockchain state changes but also to external events through built-in webhook and API triggers. - fetch data from the web natively, without relying on external oracles or relayers. - include privacy and identity management—KYC hooks and two-factor authentication, at the protocol level rather than as add-ons. - handle cross-chain communication without wrapped assets or third-party bridges. - run on a virtual machine that is compatible with ecosystems like Solana but extended with RISC-V to support modern programming concepts such as async/await and event loops. If these features work as intended, the implications are significant. Today, much of a team’s energy goes into building and maintaining infrastructure: fullnodes, indexers, monitoring scripts, oracle integrations, relayer logic, bridge infrastructure. Each requires engineering headcount and ongoing maintenance. With Rialo, much of this is absorbed by the protocol, freeing developers to concentrate on business logic. Projects can deliver production-grade dApps with smaller, leaner groups focused directly on product design and execution. Operational costs also shrink: indexing and oracle services can run into thousands of dollars a month; collapsing those into built-in functions reduces recurring expenses while simplifying onboarding for new developers. But folding middleware into the chain doesn’t erase complexity, it reshapes it. Some of the problems to be encountered include: - Scale and complexity: Rialo’s validators won’t just be securing transactions; they’ll also be securing APIs, cross-chain data, and scheduled triggers. Any failure in one subsystem could ripple across the entire network. - Performance vs. decentralization: Richer indexing, scheduling, and data ingress could make nodes heavier to run, narrowing who can realistically participate as a validator. That risks reducing the decentralization blockchains depend on for resilience. - Governance pressures: Disputes or failures involving real-world data feeds, external APIs, or cross-chain actions will arise more often, requiring not just technical fixes but robust social infrastructure, clear rules for voting, transparent arbitration, and mechanisms for community trust. Without them, Rialo risks re-centralizing decision-making around a handful of operators. Where, then, does this model make the most sense? That would be in sectors where external connectivity is indispensable and middleware bloat has consistently been a blocker: - Real-world assets: settling tokenized securities or commodities against off-chain events. - Supply chains: triggering a payment the moment a shipment clears customs, without relying on a third-party oracle. - Agent systems: AI agents interacting with real-world APIs and on-chain contracts simultaneously. - Real-time markets: prediction markets or insurance contracts that must resolve immediately against external data. For purely on-chain domains like DeFi primitives or NFTs, where composability matters more than external triggers, the advantages may be less pronounced. This shift is familiar to anyone who remembers the rise of Web2 platform services. Just as Heroku and Firebase abstracted away server maintenance so developers could focus on building products, Rialo is betting that a unified real-world network can let blockchain developers do the same. Adoption will ultimately depend on: - whether its protocol primitives mature quickly, - whether the ecosystem builds out SDKs and tooling that make them usable, - whether compliance features can adapt to changing regulations, - and whether governance proves resilient under adversarial conditions. The first applications will be the test case. If they show that Rialo can replace a fragile patchwork of middleware with a secure, auditable, and cost-effective base layer, it could set a new standard for real-world connectivity in blockchains. If not, it risks simply moving complexity from one part of the stack to another. But at a minimum, Rialo has forced the question: should real-world connectivity in blockchains continue to depend on layers of external vendors, or should it be built into the chain itself? That’s the question Rialo has put on the table — and it’s why I got interested in Rialo .show more

⬛️Akash Jaiswal⬛️ ᴅᴀʀᴋɴɪɢʜᴛ ʟᴀʙꜱ ᴘᴀʀᴛɴᴇʀ ✔️ While everyone is... busy farming the $BLOCK and $Gaimin airdrop, we've been working hard with Bitbrawl as they're preparing their #BrawlStone NFT mint, a low supply, FREE mint on Solana , that gives guaranteed $BRAWL airdrops for 2 years straight (among other cool stuff). A mint that will coincide with the $BRAWL TGE, confirmed for Tier 1 launchpad and CEX listing (can't announce names yet). All of this happening in a week's time frame. ⬛️ #BrawlStone mint March 27th on Magic Eden 🪄 ⬛️ $BRAWL TGE the 28th on Tier 1 CEXs (can't tell you which ones yet, keep an eye) So why should you give a sh*t? Let's dive in. Backing Strong backing is crucial element for a project to be considered high tier. Social proof and "who's pushing you" is probably some of the most important factors in the space. Let's see what we got here ⬛️ Strong VC backing: Morningstar Ventures Shima Capital Big Brain Holdings and more ⬛️ Tier 1 CEX listing and launchpad confirmed for the $BRAWL token (can't announce publicly yet) ⬛️ +150 high tier KOLs involved, including 🐧 and WIZZ🥷 ( beware scammers ) Narrative BitBrawl fits some of the hottest narratives out there ⬛️#BrawlStones is a free mint, low supply (400) NFT collection, that will airdrop tokens to holders for 2 years straight (among other benefits) ⬛️ Ai narrative: #BrawlStones is the first-ever 3D prompt-generated AI mint, in partnership with AI experts Sortium + AI integration in their gaming ecosystem ⬛️ $BRAWL is a Solana Microcap: TGE starting at 800k marketcap ⬛️ Solana Gaming: MixMob , a project with the same backers/VCs that launched recently, is sitting at 117mil FDV. Bitbrawl is launching at 9mil FDV (huge upside for Bitbrawl in comparison) IPs, partnerships and integrations Some solid stuff here as well, both Web2 and Web3 ⬛️ IP integration of UFC champion Khamzat Chimaev as a playable character (and more UFC fighters coming) ⬛️ Partnership with KARATE COMBAT - one of the maps in Bitbrawl is a Karate Combat ring, and integration of KC fighters ongoing ⬛️ IP integration of many NFT collections as playable characters, including DeGods y00ts Steady Stack Scam/Rug Victims Bored Ape Yacht Club 🍌 (Mutant) NEO TOKYO Citizen The Bitcoin Show (holding BoDoggosNFT Handle) and even myself Darknight ♪ | darknighthimself.eth (you can see me fight a DeGods in the video below, how cool is that?) OK, so now that you see that it's good stuff, you're asking yourself: how do I get involved? Brawlstone NFT mint This mint is gonna print some $BRAWL for 2 years, so it might be worth getting in if you're bullish on the project Here's how you qualify for the Brawlstone mint: ◾️ Win a Brawlstone Crafting Pass in your community Discord (your community didn't get in yet? Get in touch ASAP) ◾️Go to and forge your Brawlstone ◾️Share it on Twitter using #BrawlStone and $BRAWL to be eligible! The founder will then handpick a few Brawlstone crafters and select them for the NFT mint. What might help you be selected ◾️Forge a beautiful Brawlstone ◾️Have your friends support you by liking and commenting your Brawlstone ◾️Engage on X using $BRAWL and #BrawlStone (they're watching who's supporting...) Another way to get a guaranteed whitelist is to join gamenights on their Discord and win fights: For more chances to get a crafting pass, join here DISCLAIMER: THIS IS NOT FINANCIAL ADVICE, JUST THE OPINION OF THE DARKNIGHT LABS TEAM. PLEASE MAKE YOU TO ALWAYS DYOR AND RELY ON YOUR OWN DISCERNMENT!show more

You Can't Vibe-Code Trust Avishai Abrahami, Co-Founder & CEO... of Wix , interviewed by Harry Stebbings (kevin andres) Summary: Wix trades at a $2.8B market cap on $2.1B of revenue while the market ascribes roughly zero value to a business throwing off $400M a year in free cash flow. Wix CEO Avishai Abrahami's argument is that the market can't yet price what AI actually threatens: the moat is trust and business logic, and neither gets vibe-coded away. His response is to own the disruptor (Base44), train his own narrow models, and stay committed through a storm he insists always arrives on a random Wednesday. 1. Trust is the moat. The real value of Salesforce is trust: JP Morgan and huge banks let it hold all their customer data, and the CRM itself is a small part of that. "What other platform will JP Morgan trust for their customers' data? None." That trust took years to build and can't be reconstructed by an agent scraping a database, so the companies whose value lives in trust survive the SaaS apocalypse while the ones reduced to piping get commoditized. 2. The business-logic wall. "You're not going to vibe-code Shopify no matter how good you are. The business logic is too hard." Wix tested this directly: they asked a team of professional developers to build the operating logic for a single hairdresser in Base44, gave up after a week, brought in a stronger team, and still failed two weeks later. Complex operational software is far harder than a demo suggests, which is why the pizza shop and the hairdresser stay Wix customers rather than build their own stack. 3. Own the disruptor. Wix bought Base44, a one-person company, for $80M, and it now does over $150M in ARR, roughly double what they paid. Abrahami frames the future as three buckets: owners who never want to build, owners who vibe-code everything themselves, and a mix in the middle over the next five or six years. Rather than bet on which wins, Wix owns the tool customers would defect to, so a customer who switches platforms still switches to Wix. 4. Trading on someone else's news. "Today we are trading on other companies' news. We're not trading on Wix news. We're trading on what OpenAI or Anthropic or Google are saying." Base44 alone, valued on vibe-coding peer multiples, should be worth around $8B, which means the market assigns less than zero to Wix's core. Abrahami's response is to detach: he doesn't wake up checking whether the stock moved 20%, because the only thing he can influence is the business. 5. The narrow model. Wix fine-tuned and combined its own models and now matches top-tier frontier quality on Base44 tasks at far lower cost. The logic: they sit on a huge stream of training data from watching what users try and where they fail, so a model built for Base44 can skip what frontier models carry, like knowledge of Chinese poetry, and go deep on what someone means when they say "build me a task manager to tell my boyfriend where he's wrong." A narrow target is easier to hit than a frontier model, and Wix already runs a trained model on website generation that's faster, cheaper, and makes fewer errors, retrained weekly on a live feedback loop. 6. Quality before cost. When Harry cites Chamath's claim that open source runs 14-16x cheaper, Abrahami pushes back: that holds for small tasks, but for something as complex as Base44 the savings land at 5-10%, and his own model runs 1-30% cheaper than frontier, not the order of magnitude people assume. More to the point, this is the wrong time to chase cost: "20% more quality, 20% less cost, I'll go for the quality." It's a brand-new market that's just starting, and the job now is to make the product better. 7. The but is very big. "We all give too much credit for AI. It's amazing, it's incredible, it's super powerful, but the but is pretty big." He asked Claude to write a safety protocol and got six mandatory gates, then pushed back on each one and watched the model cave until only one survived, downgrading the rest from "must test" to "might want to look at later." We over-trust these systems, and that reflex, treating a Reddit post as equivalent to research published in Nature, is where the danger lives. 8. Customer support still breaks. Wix has 3,500 people and its single biggest department is customer support, serving 192 countries. They tried hard not to build their own AI support agent, tested many off-the-shelf products, and concluded flatly: "It doesn't work. We tried, we tried again, it didn't work." The gap between hyped AI support startups and what actually ships in production is the tell that the technology is earlier than the marketing, maybe five years from being different. 9. Buybacks as dividends. Wix had $1.5B sitting in the bank it couldn't put into a major acquisition because it was focused on the new product and Base44, so it bought back stock at a low price, with admittedly terrible short-term timing. Abrahami is unbothered: "The big question is where it's going to be in three years, not what happened in the last three months." He argues buybacks are a fantastic, underused tool, essentially a dividend to every shareholder, and companies should lean on them to balance stock-based compensation instead of endlessly diluting. 10. Execution, not finance. A low stock price makes M&A currency less valuable, but Abrahami says that's not his real constraint. Base44 was a one-person company; Wix had to build an entire company around it, staffing it with people pulled from the core. "I don't know how to do another one of those at the same time and have the same quality." The bottleneck on the next acquisition is execution capacity, not the balance sheet. 11. Chosen to be here. The one thing money buys beyond food security is freedom, and the deepest form of that freedom is knowing you're here by choice. "I'm here because I've chosen to be here. Nobody made me." He could move to Costa Rica or dance carnival in Brazil, and choosing to stay and run a public company through a crashing stock is where he finds his power. Money also made him more impatient and a bit lazier, and more rational because he's no longer deciding from fear. 12. The random Wednesday. Resilience starts with accepting the storm will come, because we assume that if yesterday was easy tomorrow will be too, and reality doesn't move in gentle slopes. "The worst thing that happens is probably some random thing on some random Wednesday. It's not something you get a lot of warning for." His anchor, borrowed from Babylon 5, is that you get there when you get there and the weapons you have are the weapons you have, so the only real question is whether you're doing the best you can with what you control.show more

🔊 CHURCH: THIS IS WHAT THE ENEMY DOESN'T WANT... US TO DO TODAY!! He wants us distracted, discouraged, exhausted, and spiritually worn out because he knows that when God's people pray, God moves! Just as Abraham pleaded for Sodom, and Moses stood in the gap for Israel, let’s stand in the gap today for our family, friends, neighbors, and all who are still lost. This is where the battle is! We're living in the final seconds of the Age of Grace!! LET'S STAND IN THE GAP ONE MORE TIME WHILE THERE IS STILL TIME!!! Lord,🕊️ We come before You in the name of Jesus—not in our own wisdom or strength, but covered by the blood of the Lamb—we declare that You are the God who seeks and saves the lost, not willing that any should perish, but that all should come to repentance and eternal life with You!!! 🔥So many today are walking toward this fire—unaware or unwilling to turn! 👉🏼This is where rebellion leads. This is where deception ends. This is where excuses are stripped away! 🔁Father, we stand in the gap now—while there is still breath, while mercy is still available, while repentance is still possible! 👉🏼We present before You our mothers and fathers, wives and husbands, sisters and brothers, nieces and nephews, cousins, aunts and uncles, friends, neighbors, and all who are deceived; all who are hardened; all who are wounded; all who are bound by sin, fear, pride, trauma, addictions, false beliefs, or false peace!!! ⚔️In the authority of Jesus Christ, we stand against every work of the enemy assigned against their souls. We ask You to bind every spirit of deception, confusion, blindness, rebellion, pride, unbelief, false doctrine, false religion, and false peace. 🪢Lord, silence every lie that exalts itself against the knowledge of God—every false identity and every argument raised against the truth! 💣Tear down every idol exalted above You: love of self, love of comfort, love of pleasure, love of money, love of the world, and every identity not rooted in Christ alone! Tear down every stronghold built in their minds: 👉🏼strongholds of trauma, 👉🏼strongholds of fear and anxiety, 👉🏼strongholds of shame, guilt, and condemnation, 👉🏼strongholds of bitterness, offense, resentment, and unforgiveness, 👉🏼strongholds of rebellion and stubbornness, 👉🏼strongholds of self-sufficiency and control, 👉🏼strongholds of hopelessness, despair, and fatalism. 💣Tear down every false belief formed through pain, loss, abuse, disappointment, or deception. 💥Break every agreement—knowingly or unknowingly—with lies spoken over them, lies they believed, and lies passed down generationally!! ❌Lord, cancel every repeating cycle of bondage, addiction, immorality, unbelief, broken relationships, and destruction! 💣Break the power of every fear—fear of surrender, fear of truth, fear of obedience, fear of rejection, fear of loss, and fear of DEATH! ⚔️Break every bond of addiction, lust, perversion, escapism, and hidden sin!!! ❌Cancel every word spoken over them that contradicts Your truth. ❌Cancel every generational pattern that keeps repeating destruction. ❌Cancel every demonic assignment sent to blind, deceive, delay, distract, or destroy them. 💥Destroy every resistance to the Holy Spirit—every quenched conviction, delayed obedience, and HARDENED HEART!!! Father, we ask that You would remove the veil from their eyes. 👉🏼Let scales fall. 👉🏼Let truth pierce through every layer of deception. 👉🏼Let hearts be softened where they have grown calloused. 🕊️Holy Spirit, we ask You to pursue them relentlessly, yet gently! ✅Meet them in dreams and in the moments of silence. Meet them in the middle of their pain and in the questions they cannot escape! ✅Cause divine interruptions! Send sisters and brothers across their path who speak truth with love! ✅Remove influences that keep them bound! Expose what is false and collapse what is built on sand! Lord Jesus, reveal Yourself to them as You truly are—not religion, not control, not condemnation, but —The Way, The Truth and The Life!! 👉🏼Let them feel the weight of eternity—not terror, but urgency. Let them hunger for truth and become restless in sin and unable to find peace apart from You! 📖Your Word is clear: Eternity is real, hell is real! Salvation is NOW!!! FATHER, SAVE THEM, BEFORE THE TRIBULATION BEGINS!!! 🔥Pull them back from the edge! Rescue them from a destiny they were never created for! Let this be the moment where fear gives way to repentance, and repentance gives way to salvation!! 👉🏼We declare that today is the day of salvation! 👉🏼We declare that mercy still stands! 👉🏼We declare that the cross is ENOUGH! 👉🏼We stand on Your promises! That You draw all people to Yourself, that Your arm is not too short to save, and that You leave the ninety-nine to go after the one!! Even when we do not see it, even when nothing seems to change, we trust that You are working behind the scenes! 🤲🏼We place our loved ones fully into Your hands!! 👆🏼We declare that salvation belongs to You! 👆🏼We declare that chains will break! 👆🏼We declare that prodigals will return! 👆🏼We declare that what the enemy meant for evil, You will turn for good! 🩸Cover them with the blood of Jesus. Protect them from deception and from taking the MARK OF THE BEAST! Preserve them until the moment You bring them home! 🙏🏼Lord, we pray that if they are not saved before You come, then during the Tribulation may they see the light of Christ shining brighter than ever before. Draw them to Yourself, seeking refuge in Your grace and finding hope in Your promises. Help them remember the truth they have heard today. Use the testimony of the two witnesses, the 144,000, and the three angels to awaken their hearts and lead them to repentance and faith. Surround them with believers who will encourage them, strengthen them, and point them to Jesus. Let Your Holy Spirit work powerfully in their hearts until they surrender completely to You. 💙 Lord... You also see us!! You see the ones who have been praying for years. The ones who cry for the same people over and over again. The ones who have watched loved ones reject You... again and again. Lord... we're tired. 👉🏼Some of us are running on empty. Some of us wonder if anything we say even matters anymore. Some of us have become discouraged watching this world grow darker by the day. You hear us constantly whisper every day saying, "Lord... I just want to come Home!!!!" Lift us up today, strengthen our weary hearts. Fill us again with Your Holy Spirit. 🛎️Remind us that You are still saving. 🛎️Remind us that You are still pursuing them. 🛎️Remind us that You are still working behind the scenes—even when we can't see it. ❌Don't let us grow cold. ❌Don't let us become distracted. ❌Don't let us lose our urgency. ❌Don't let us stop praying. ❌Don't let us stop sharing the Gospel. 🔥Give us boldness! 🔥Give us endurance! 🔥Give us fresh fire for these last moments before You come! Lord... if there's one more person You want us to reach... give us the strength to stand in the gap one more time... 🙌🏼We thank You in advance for what You are already doing—even now. To You alone belong all the glory, all the honor, all the praise, and all the power, forever and ever! ....and Lord, PLEASE COME!!!! We pray in the mighty Name of Jesus Christ! Amen. MARANATHA! COME, LORD JESUS, COME!!!🤍show more

32 coins. $2.5 million. 0.0038% of the stack. That... is the sale the market is now blaming for a $3 billion liquidation cascade and a Bitcoin price nearly halved from its peak. A $2.5 million sale cannot move a trillion-dollar asset. It is a rounding error. In the same week, Strategy raised $128.3 million selling its own stock, 50 times larger. It did not need to sell coins. It chose to. The crash has real drivers: a record 13-day run of ETF outflows, a rotation into AI, a Fed in no hurry to cut. But the accelerant the market keeps naming is 32 coins. The coins were never the point. The signal was. And the signal was deliberate. Michael Saylor told the Q1 call he would “probably sell some bitcoin to pay a dividend just to inoculate the market and send the message that we did it.” His logic was sound: prove the Bitcoin is usable capital, not a vault that can never be opened, and show he is not a prisoner of his own vow. His “never sell” always meant be a net accumulator. He is up more than 170,000 coins this year against the 32 he sold, and he scores himself on one number, Bitcoin per share. By that math, defending the dividend with a sliver was discipline, not distress. The market read it as the opposite. The dose became the catalyst now blamed for the crash. The inoculation became the infection. Because what changed was never Strategy’s solvency. It was its identity. The market has stopped pricing a permanent holder and started pricing what the filings always described: a state-contingent allocator now funding its own preferred dividends, at the margin, from the Bitcoin beneath them. And the buffer is thinning. The cash reserve behind those dividends has fallen from $2.25 billion to $900 million. Against a preferred bill near $1.7 billion a year, that is roughly 6 months of runway. Be precise. This is not a death spiral. Strategy still holds 843,706 Bitcoin, worth more than $50 billion even now, and has more funding levers than almost any company alive. A real rally makes this a footnote, and the sell-side calling the reaction overdone is not wrong on the fundamentals. But the regime has changed. The question is no longer Bitcoin’s price on any given day. It is the cadence of the dividend declarations and the path of that reserve. Bitcoin did not acquire a yield. The wrapper acquired liabilities. This week the market learned that difference costs far more than 32 coins.show more