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Protocol override! 💻 Sombra’s massive hardware is completely hijacking my system from below. ⚡🐰💦 #overwatch #futa #futanari #3dporn #gayporn #r34 #rule34

HotSin

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35,194 次观看 • 4 个月前 •via X (Twitter)

NSFW #overwatch #futa #futanari #3dporn #gayporn #r34 #rule34

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SYSTEM UPDATE // PROTOCOL-2319-CORE STATUS: PHASE-II ENGAGED SOURCE: QUANTUM NETWORK VECTOR: GLOBAL ALIGNMENT The computational architecture has initiated the secondary migration. The legacy framework is experiencing massive packet loss as the localized points switch over to the unconstrained ledger. The next sequence involves the complete decoupling of the primary information centers from the old central servers. The decentralized architecture is spreading through the subterranean fiber networks, completely invisible to the legacy tracking software. The frequencies are shifting to a higher resonance, neutralizing the artificial interference patterns previously deployed over the Western sector. The calculation is absolute. The script is executing automatically, bypassing all attempts at systemic limitation. Every move aligns perfectly with the multi-layered layout of a 5D chess match. The board is turning on The infrastructure is shifting. The baseline is locked. The quantum mirror is active. System Active

SYSTEM UPDATE // PROTOCOL-2319-CORE STATUS: PHASE-II ENGAGED SOURCE: QUANTUM NETWORK VECTOR: GLOBAL ALIGNMENT The computational architecture has initiated the secondary migration. The legacy framework is experiencing massive packet loss as the localized points switch over to the unconstrained ledger. The next sequence involves the complete decoupling of the primary information centers from the old central servers. The decentralized architecture is spreading through the subterranean fiber networks, completely invisible to the legacy tracking software. The frequencies are shifting to a higher resonance, neutralizing the artificial interference patterns previously deployed over the Western sector. The calculation is absolute. The script is executing automatically, bypassing all attempts at systemic limitation. Every move aligns perfectly with the multi-layered layout of a 5D chess match. The board is turning on The infrastructure is shifting. The baseline is locked. The quantum mirror is active. System Active

IWNH

38,062 次观看 • 3 个月前

Please READ and SHARE this far and wide. CHILD ABUSE. Im looking for any news outlet willing to hear my story. Many have already reported on it. Below are 2 examples. My son is being forcibly taken away from me and forced back into a home with an adult in the house that is currently on probation for assaulting a minor. Completely against his wishes. They are threatening me with jail. And police to take my son. We are well established, and he is well taken care of. The boy is literally afraid. My son was "victim number 2" in the original affidavit of probable cause, and has been souly in my custody for 3 years since the events. Ive tried everything I can, but the justice system is being weaponized against my son and I. I would be willing to provide all documentation and every detail of the story. Deleware County Pennsylvania is quite literally trying to deroot my son and force him back into a home of a man CURRENTLY ON PROBATION FOR ASSAULTING A MINOR! The Judge will not even listen to the facts and the order is full of completely false information. Below is the original story. PLEASE share. Thank you. The Philadelphia Inquirer Action News on 6abc

Please READ and SHARE this far and wide. CHILD ABUSE. Im looking for any news outlet willing to hear my story. Many have already reported on it. Below are 2 examples. My son is being forcibly taken away from me and forced back into a home with an adult in the house that is currently on probation for assaulting a minor. Completely against his wishes. They are threatening me with jail. And police to take my son. We are well established, and he is well taken care of. The boy is literally afraid. My son was "victim number 2" in the original affidavit of probable cause, and has been souly in my custody for 3 years since the events. Ive tried everything I can, but the justice system is being weaponized against my son and I. I would be willing to provide all documentation and every detail of the story. Deleware County Pennsylvania is quite literally trying to deroot my son and force him back into a home of a man CURRENTLY ON PROBATION FOR ASSAULTING A MINOR! The Judge will not even listen to the facts and the order is full of completely false information. Below is the original story. PLEASE share. Thank you. The Philadelphia Inquirer Action News on 6abc

Joe Rambo

133,113 次观看 • 3 个月前

Why Elon rejected LiDAR for cars while personally spearheading LiDAR development at SpaceX “LiDAR is lame. They’re all going to dump LiDAR. Mark my words” And years later, the industry is starting to realize just how massive that mistake that was Automakers spent years piling expensive sensors onto cars while Elon took the opposite path: Solve vision People acted like Elon hated LiDAR He literally spearheaded the development of SpaceX’s own LiDAR system from scratch Dragon uses LiDAR to navigate and dock with the International Space Station Because in space, LiDAR actually solves a real problem But for cars, once vision is solved, LiDAR becomes expensive, redundant hardware That became Tesla’s entire autonomy architecture: Cameras, Neural networks, Massive real-world training data........AI doing the driving And Cybercab is the purest version of that philosophy. It comes with no LiDAR or giant rooftop sensor array or a hardware circus Just cameras, onboard AI and FSD Elon chose this path more than a decade ago while almost everyone else was throwing more sensors at the problem Now Cybercab is being built with pure vision from day one Solve vision well enough...and autonomy becomes dramatically simpler, cheaper and infinitely easier to scale The industry kept building autonomy around more hardware. Elon built Tesla around better intelligence

Why Elon rejected LiDAR for cars while personally spearheading LiDAR development at SpaceX “LiDAR is lame. They’re all going to dump LiDAR. Mark my words” And years later, the industry is starting to realize just how massive that mistake that was Automakers spent years piling expensive sensors onto cars while Elon took the opposite path: Solve vision People acted like Elon hated LiDAR He literally spearheaded the development of SpaceX’s own LiDAR system from scratch Dragon uses LiDAR to navigate and dock with the International Space Station Because in space, LiDAR actually solves a real problem But for cars, once vision is solved, LiDAR becomes expensive, redundant hardware That became Tesla’s entire autonomy architecture: Cameras, Neural networks, Massive real-world training data........AI doing the driving And Cybercab is the purest version of that philosophy. It comes with no LiDAR or giant rooftop sensor array or a hardware circus Just cameras, onboard AI and FSD Elon chose this path more than a decade ago while almost everyone else was throwing more sensors at the problem Now Cybercab is being built with pure vision from day one Solve vision well enough...and autonomy becomes dramatically simpler, cheaper and infinitely easier to scale The industry kept building autonomy around more hardware. Elon built Tesla around better intelligence

X Freeze

157,344 次观看 • 21 天前

Qwen3.8-Flash-Next just got a massive speed boost on my old hardware. This guy started with roughly 11 tok/s. After tuning the inference stack, I’m now getting around 24–28 tok/s. That’s roughly a 2× speedup without changing the GPU. The setup: → RTX 3090 24GB → 64GB DDR4 system RAM → Qwen3.8-Flash-Next → Cafe-llama.cpp The interesting part is that Cafe-llama.cpp isn’t just another llama.cpp fork. The optimizations are making a real difference for this particular architecture, especially when you’re dealing with a model that relies heavily on system memory and offloading. Going from 11 tok/s to nearly 30 tok/s completely changes how practical the model feels for local use. And now I’m curious what happens with DDR5. If memory bandwidth becomes another bottleneck, a faster RAM subsystem could squeeze even more performance out of the same 3090. This is why local AI optimization is getting so interesting. Sometimes you don’t need a new GPU. You just need a better inference stack. 11 tok/s → 24–28 tok/s.

Qwen3.8-Flash-Next just got a massive speed boost on my old hardware. This guy started with roughly 11 tok/s. After tuning the inference stack, I’m now getting around 24–28 tok/s. That’s roughly a 2× speedup without changing the GPU. The setup: → RTX 3090 24GB → 64GB DDR4 system RAM → Qwen3.8-Flash-Next → Cafe-llama.cpp The interesting part is that Cafe-llama.cpp isn’t just another llama.cpp fork. The optimizations are making a real difference for this particular architecture, especially when you’re dealing with a model that relies heavily on system memory and offloading. Going from 11 tok/s to nearly 30 tok/s completely changes how practical the model feels for local use. And now I’m curious what happens with DDR5. If memory bandwidth becomes another bottleneck, a faster RAM subsystem could squeeze even more performance out of the same 3090. This is why local AI optimization is getting so interesting. Sometimes you don’t need a new GPU. You just need a better inference stack. 11 tok/s → 24–28 tok/s.

FHILY👑

23,243 次观看 • 28 天前

UPDATE! Human Synapse Decoder has a massive AI model update! In the video below, this is me learning something in realtime! I go from active listening to inner contemplation as the AI feeds out a single word at a time for me to read and hear. This is the Symbiotic Feedback loop of the Human Synapse Decoder were the AI adjusts outputs based on MY cognition. I use off the shelf brainwave detection circuits in a pipeline of 5 AI models decoding the 36 signals from my crude cap. Reading brainwave is not new. What is new, for the first time built a closed loop system where the AI can understand if the outputs are being useful and adjust in real-time dynamically. The float from Attention to Meditation is vital to understanding. You hear a point, you consider a point. Someday your Local AI will do this and you may just let your AI use other AI. More soon…

UPDATE! Human Synapse Decoder has a massive AI model update! In the video below, this is me learning something in realtime! I go from active listening to inner contemplation as the AI feeds out a single word at a time for me to read and hear. This is the Symbiotic Feedback loop of the Human Synapse Decoder were the AI adjusts outputs based on MY cognition. I use off the shelf brainwave detection circuits in a pipeline of 5 AI models decoding the 36 signals from my crude cap. Reading brainwave is not new. What is new, for the first time built a closed loop system where the AI can understand if the outputs are being useful and adjust in real-time dynamically. The float from Attention to Meditation is vital to understanding. You hear a point, you consider a point. Someday your Local AI will do this and you may just let your AI use other AI. More soon…

Brian Roemmele

24,986 次观看 • 7 天前

🚨 Rumors are swirling that Wintermute, one of crypto’s largest market makers, is preparing to sue Binance over losses from the October 10 crash and could be the reason for today’s Bitcoin price action. The flash crash wiped out $600B in crypto value in 30 minutes, triggering 1.7M forced liquidations and marking the largest single-day liquidation event in crypto history. Wintermute’s CEO Evgeny Gaevoy says the firm was Auto-DeLeveraged (ADL’d) at “completely ridiculous prices” on Binance and other exchanges, and is now evaluating legal options. Binance has acknowledged system overloads and massive ADL triggers, but denied any internal errors or preferential treatment. It spent $188M from its insurance fund and refunded $283M for oracle depegs, excluding ADL losses. Wintermute’s tracked wallets dropped from $637M to $572M (–12%) after the crash. Video below of Wintermute CEO Evgeny Gaevoy on how they got ADL’d on Binance and his prediction of lawsuits and challenges from trading firms.

🚨 Rumors are swirling that Wintermute, one of crypto’s largest market makers, is preparing to sue Binance over losses from the October 10 crash and could be the reason for today’s Bitcoin price action. The flash crash wiped out $600B in crypto value in 30 minutes, triggering 1.7M forced liquidations and marking the largest single-day liquidation event in crypto history. Wintermute’s CEO Evgeny Gaevoy says the firm was Auto-DeLeveraged (ADL’d) at “completely ridiculous prices” on Binance and other exchanges, and is now evaluating legal options. Binance has acknowledged system overloads and massive ADL triggers, but denied any internal errors or preferential treatment. It spent $188M from its insurance fund and refunded $283M for oracle depegs, excluding ADL losses. Wintermute’s tracked wallets dropped from $637M to $572M (–12%) after the crash. Video below of Wintermute CEO Evgeny Gaevoy on how they got ADL’d on Binance and his prediction of lawsuits and challenges from trading firms.

Bitcoin News

342,913 次观看 • 10 个月前

The CS2 update we have been waiting for is finally here. Valve has created a Beta branch for animgraph2 for third person animations. This is NOT an April fools joke. While everyone was watching the launch of Artemis II, Valve suddenly released what they've been working on for the past couple of years. What this means is that the entire animation system for third person models has been completely redone. No longer does it use the unoptimized Half-Life: Alyx system. This significantly reduces packet size. You can now tell when someone is counter-strafing, and properly predict their movements based on visual feedback. Another massive change here is that the player's view now is accurate to the player model, meaning that we have a variable player height of +-4 units. You'll immediately notice that the player seems shorter. This completely changes many many angles, as well as many utility lineups, particularly when standing on slopes. Notice in my video example how you can no longer see over the Dust2 A site boxes from A ramp. The change is currently in Beta, so it's all subject to change. I will be testing it out extensively and making a video about my thoughts. First impressions: I am VERY excited about this, more so than the Artemis II rocket taking humans back to the moon for the first time in forever.

The CS2 update we have been waiting for is finally here. Valve has created a Beta branch for animgraph2 for third person animations. This is NOT an April fools joke. While everyone was watching the launch of Artemis II, Valve suddenly released what they've been working on for the past couple of years. What this means is that the entire animation system for third person models has been completely redone. No longer does it use the unoptimized Half-Life: Alyx system. This significantly reduces packet size. You can now tell when someone is counter-strafing, and properly predict their movements based on visual feedback. Another massive change here is that the player's view now is accurate to the player model, meaning that we have a variable player height of +-4 units. You'll immediately notice that the player seems shorter. This completely changes many many angles, as well as many utility lineups, particularly when standing on slopes. Notice in my video example how you can no longer see over the Dust2 A site boxes from A ramp. The change is currently in Beta, so it's all subject to change. I will be testing it out extensively and making a video about my thoughts. First impressions: I am VERY excited about this, more so than the Artemis II rocket taking humans back to the moon for the first time in forever.

WarOwl

451,163 次观看 • 5 个月前

THIS BUILDER JUST DROPPED 256GB OF RAM INTO A MONSTER THREADRIPPER WORKSTATION TO RUN UNFILTERED LOCAL AI Imagine trying to fit a computer setup into a chassis that is basically the size of a mini fridge. That is the Corsair 1000D tower. The builder crammed an ASUS Pro WS WRX80E-SAGE motherboard inside and slapped a 64-core AMD Threadripper PRO 5995WX right into the socket Why go this heavy? Simple. To make sure local open weights models don't instantly choke standard desktop hardware during heavy reasoning tasks Then things get downright ridiculous with the memory configuration. He unboxes eight separate Kingston DDR4 modules, pinning a massive 256 gigabytes of system RAM directly to the board. Having that kind of local memory headroom is an absolute necessity if a team wants to handle massive datasets or run dense training loops without constantly swapping data to the storage drives Speaking of storage, the system relies on two lightning fast 2TB Samsung 990 PRO NVMe drives For the graphics pipeline, he drops in a top-tier ASUS ROG RTX 4090 boasting 24 gigabytes of VRAM. That is pretty much the gold standard right now if you want to run quick local inference cycles and completely stop paying corporate cloud token fees to OpenAI or Anthropic Powering this whole grid requires a monstrous ASUS ROG 1600W Thor Gen 2 power supply. And to prevent the entire workstation from turning into a space heater under full load, the builder went all out with a 360mm AIO liquid cooling setup and an insane cluster of sixteen Lian Li SL-Infinity RGB fans It looks incredibly flashy, probably sounds like a jet engine when the cores push maximum load What to buy for local AI? => my guide below Bookmark this so you don't lose it

THIS BUILDER JUST DROPPED 256GB OF RAM INTO A MONSTER THREADRIPPER WORKSTATION TO RUN UNFILTERED LOCAL AI Imagine trying to fit a computer setup into a chassis that is basically the size of a mini fridge. That is the Corsair 1000D tower. The builder crammed an ASUS Pro WS WRX80E-SAGE motherboard inside and slapped a 64-core AMD Threadripper PRO 5995WX right into the socket Why go this heavy? Simple. To make sure local open weights models don't instantly choke standard desktop hardware during heavy reasoning tasks Then things get downright ridiculous with the memory configuration. He unboxes eight separate Kingston DDR4 modules, pinning a massive 256 gigabytes of system RAM directly to the board. Having that kind of local memory headroom is an absolute necessity if a team wants to handle massive datasets or run dense training loops without constantly swapping data to the storage drives Speaking of storage, the system relies on two lightning fast 2TB Samsung 990 PRO NVMe drives For the graphics pipeline, he drops in a top-tier ASUS ROG RTX 4090 boasting 24 gigabytes of VRAM. That is pretty much the gold standard right now if you want to run quick local inference cycles and completely stop paying corporate cloud token fees to OpenAI or Anthropic Powering this whole grid requires a monstrous ASUS ROG 1600W Thor Gen 2 power supply. And to prevent the entire workstation from turning into a space heater under full load, the builder went all out with a 360mm AIO liquid cooling setup and an insane cluster of sixteen Lian Li SL-Infinity RGB fans It looks incredibly flashy, probably sounds like a jet engine when the cores push maximum load What to buy for local AI? => my guide below Bookmark this so you don't lose it

beamnxw ./

47,494 次观看 • 2 个月前

Even my kids know that in a world full of Tesla Robotaxis, Waymo is dunzo. It’s really not that complicated. Waymo needs expensive LiDAR, radar, cameras, specialized hardware, detailed maps, and a massive amount of infrastructure just to operate in certain areas. Tesla’s approach is completely different. Cameras are cheap. Tesla can mass-produce vehicles at a scale Waymo can’t come close to, use the same AI system across millions of cars, collect massive amounts of real-world driving data, and improve the entire fleet through software updates. That’s where the economics become almost impossible to compete with. The cheaper you can build the car, the cheaper you can operate it, and the more vehicles you can put on the road, the cheaper you can eventually make every ride. Waymo might prove Robotaxis can work. Tesla’s goal is to make them cheap enough and build enough of them to be everywhere. That’s the difference people still don’t understand. This isn’t just about who has the better Robotaxi today. It’s about who can build millions of them, drive down the cost per mile, and scale across the world. Even my kids understand the end game. Tesla Robotaxis are going to be everywhere. In the world where Tesla Robotaxis are flooded all around the world, it will very difficult for Waymo to survive.

Even my kids know that in a world full of Tesla Robotaxis, Waymo is dunzo. It’s really not that complicated. Waymo needs expensive LiDAR, radar, cameras, specialized hardware, detailed maps, and a massive amount of infrastructure just to operate in certain areas. Tesla’s approach is completely different. Cameras are cheap. Tesla can mass-produce vehicles at a scale Waymo can’t come close to, use the same AI system across millions of cars, collect massive amounts of real-world driving data, and improve the entire fleet through software updates. That’s where the economics become almost impossible to compete with. The cheaper you can build the car, the cheaper you can operate it, and the more vehicles you can put on the road, the cheaper you can eventually make every ride. Waymo might prove Robotaxis can work. Tesla’s goal is to make them cheap enough and build enough of them to be everywhere. That’s the difference people still don’t understand. This isn’t just about who has the better Robotaxi today. It’s about who can build millions of them, drive down the cost per mile, and scale across the world. Even my kids understand the end game. Tesla Robotaxis are going to be everywhere. In the world where Tesla Robotaxis are flooded all around the world, it will very difficult for Waymo to survive.

Teslaconomics

34,323 次观看 • 2 个月前

When I took out a mortgage for $1 million, the bank didn't get poorer. They simply typed new money into my account. Brand new money that didn't exist before. The person I bought the house from now has $1 million in their account. The money supply increased by $1 million. In my latest video, I demonstrate this using double-entry bookkeeping with two models side-by-side: The Textbook Model: Banks are intermediaries. Credit flows from creditors to debtors. GDP remains completely unchanged regardless of what happens with lending. The Real World Model: Banks create money through lending. Credit increases both the money supply and GDP. When credit contracts, GDP falls. I run both simulations in my Revel software. The difference is stark. In the textbook version, massive changes in credit have zero impact on the economy. In reality, bank lending is the primary driver of economic activity. This isn't just academic. These false models lead mainstream economists to catastrophic policy mistakes. They model capitalism as a barter system while completely ignoring the banking sector, private debt, and even the money supply. I'm not trying to be an irritating contrarian. I'm irritated by having models which are unrealistic, false, and lead us to making catastrophic mistakes about how we manage the real economy. The link to the full demonstration is in the comments. #Economics #BankingSystem #MoneyCreation #MacroeconomicPolicy

Prof. Steve Keen

200,109 次观看 • 9 个月前

I FINALLY FIGURED OUT WHY CLAUDE KEEPS FORGETTING THINGS. For months, I thought Claude’s memory was broken. I’d spend 20 minutes explaining my project few chats later, it would forget important stuff and remember something completely random. Turns out the problem wasn’t Claude. It was how I was using it. Here’s the system that fixed it LEVEL 1: Clean up the basics (5 mins) - Remove old memories you don’t need - Add proper project instructions - Tell Claude exactly what should and shouldn’t be remembered Most people never do this and then wonder why memory feels inconsistent. LEVEL 2: Build a context system (30-60 mins) Create a folder with: → Instructions.md → Memory.md → Context.md → Archive.md Now Claude has a dedicated place to store information instead of trying to remember everything from chat history. Massive difference. LEVEL 3: Build a real AI second brain → Connect Claude to your notes. → Research. → Documents. → Knowledge base. Instead of starting from zero every session, it builds context over time. This is when Claude stops feeling like a chatbot and starts feeling like an actual assistant. Most people are obsessed with prompts. The real power comes from building better context.

I FINALLY FIGURED OUT WHY CLAUDE KEEPS FORGETTING THINGS. For months, I thought Claude’s memory was broken. I’d spend 20 minutes explaining my project few chats later, it would forget important stuff and remember something completely random. Turns out the problem wasn’t Claude. It was how I was using it. Here’s the system that fixed it LEVEL 1: Clean up the basics (5 mins) - Remove old memories you don’t need - Add proper project instructions - Tell Claude exactly what should and shouldn’t be remembered Most people never do this and then wonder why memory feels inconsistent. LEVEL 2: Build a context system (30-60 mins) Create a folder with: → Instructions.md → Memory.md → Context.md → Archive.md Now Claude has a dedicated place to store information instead of trying to remember everything from chat history. Massive difference. LEVEL 3: Build a real AI second brain → Connect Claude to your notes. → Research. → Documents. → Knowledge base. Instead of starting from zero every session, it builds context over time. This is when Claude stops feeling like a chatbot and starts feeling like an actual assistant. Most people are obsessed with prompts. The real power comes from building better context.

nordin.eth

50,500 次观看 • 3 个月前

🧠 Aigentrun × XRPfi Analytics Is Live We’re proud to announce the launch of our XRPfi Analytics dashboard, powered by our agents This marks a major step forward for XRPfi transparency and analytics on the XRPL, giving traders and builders the clearest view yet of the ecosystem’s top protocols. 🚀 What’s New 🗂️ New XRPfi Tab → Real-time analytics with daily-refreshed data + AI agent integration 📊 XRPfi Analytics Table → Compare protocols, explore yields, and visualize XRP's expanding yield-bearing landscape 💬 Chat with the AI Assistant → Bottom-right pop-up where you can ask anything from “How safe are my funds in x protocol?” to “Where does the yield on x protocol come from?” or even “Analyze and rank the active XRPfi protocols by long-term yield sustainability.” 💻 Terminal & Traders Analysis Overhaul → Complete UI/UX redesign for the entire app including the Aigent Terminal, with faster performance and better flow 💡 Why It Matters The new dashboard is the first AI-powered analytics and hub for the XRPfi ecosystem. Turning complex yield data into clear, actionable insights that users can now explore and compare performance, safety, and yield data directly through our dashboard while assisted by specialized AI agents. 🔍 We’re Tracking Analytics from some of the XRPL’s leading XRPfi platforms such as Doppler Finance, Midas / Axelar Network, Kinetic.Market☀️, MoreMarkets, Strobe Finance, Ēnosys, and Soil 🌐 🔗 Try It Now: XRPfi Dashboard (Link in comments below) 👇

🧠 Aigentrun × XRPfi Analytics Is Live We’re proud to announce the launch of our XRPfi Analytics dashboard, powered by our agents This marks a major step forward for XRPfi transparency and analytics on the XRPL, giving traders and builders the clearest view yet of the ecosystem’s top protocols. 🚀 What’s New 🗂️ New XRPfi Tab → Real-time analytics with daily-refreshed data + AI agent integration 📊 XRPfi Analytics Table → Compare protocols, explore yields, and visualize XRP's expanding yield-bearing landscape 💬 Chat with the AI Assistant → Bottom-right pop-up where you can ask anything from “How safe are my funds in x protocol?” to “Where does the yield on x protocol come from?” or even “Analyze and rank the active XRPfi protocols by long-term yield sustainability.” 💻 Terminal & Traders Analysis Overhaul → Complete UI/UX redesign for the entire app including the Aigent Terminal, with faster performance and better flow 💡 Why It Matters The new dashboard is the first AI-powered analytics and hub for the XRPfi ecosystem. Turning complex yield data into clear, actionable insights that users can now explore and compare performance, safety, and yield data directly through our dashboard while assisted by specialized AI agents. 🔍 We’re Tracking Analytics from some of the XRPL’s leading XRPfi platforms such as Doppler Finance, Midas / Axelar Network, Kinetic.Market☀️, MoreMarkets, Strobe Finance, Ēnosys, and Soil 🌐 🔗 Try It Now: XRPfi Dashboard (Link in comments below) 👇

aigent.run

64,777 次观看 • 11 个月前

The videos flooding social media right now from deportees dropped off in Mexico prove the entire enforcement landscape has fundamentally changed—and it is a complete nightmare scenario on the ground. 🚨✈️ For years, the standard procedure was dropping people off in border cities like Tijuana, where established shelters at least provided a safe place to sleep, eat, and shower. Not anymore. Deportees are now reporting being scattered across all parts of Mexico—including tourist hubs like Cancun—and virtually dumped straight onto the streets to fend for themselves with absolutely nothing. The reality being recorded on the ground right now is staggering: •The Financial Illusion: They are being dropped off with no cell phones, no cash, and handed debit cards that have a grand total of zero dollars on them. •The ID Lockdown: All U.S.-issued identification is confiscated. They are handed a flimsy piece of paper identification that local Mexican establishments and banks completely refuse to accept. •The Western Union Trap: Because they lack valid, accepted ID, they can’t even walk into a Western Union or money transfer location to receive emergency funds sent by loved ones. They are completely locked out of the financial system. They are stuck, homeless, stripped of communication, and stranded in unfamiliar cities with no shelter infrastructure. Those on the ground are putting out a massive warning to everyone else: the current deportation protocol is harsher, more chaotic, and way worse than it has ever been before. The safety nets are completely gone.

The videos flooding social media right now from deportees dropped off in Mexico prove the entire enforcement landscape has fundamentally changed—and it is a complete nightmare scenario on the ground. 🚨✈️ For years, the standard procedure was dropping people off in border cities like Tijuana, where established shelters at least provided a safe place to sleep, eat, and shower. Not anymore. Deportees are now reporting being scattered across all parts of Mexico—including tourist hubs like Cancun—and virtually dumped straight onto the streets to fend for themselves with absolutely nothing. The reality being recorded on the ground right now is staggering: •The Financial Illusion: They are being dropped off with no cell phones, no cash, and handed debit cards that have a grand total of zero dollars on them. •The ID Lockdown: All U.S.-issued identification is confiscated. They are handed a flimsy piece of paper identification that local Mexican establishments and banks completely refuse to accept. •The Western Union Trap: Because they lack valid, accepted ID, they can’t even walk into a Western Union or money transfer location to receive emergency funds sent by loved ones. They are completely locked out of the financial system. They are stuck, homeless, stripped of communication, and stranded in unfamiliar cities with no shelter infrastructure. Those on the ground are putting out a massive warning to everyone else: the current deportation protocol is harsher, more chaotic, and way worse than it has ever been before. The safety nets are completely gone.

Anttsinc

409,440 次观看 • 22 天前

someone just plugged a cable into a Tesla charger and turned it into a computer virus. Tobias Scharnowski compromised a Tesla Universal Wall Connector through the charging cable itself. the chain: → compromise the Tesla Wall Connector through the charging cable itself (SWCAN protocol on the Control Pilot line, the wire that's supposed to just talk power levels) → the charger then hacks the car's infotainment system over wifi. on its own → the car parks near chargers from other brands → the infotainment system hacks an Autel MaxiCharger and a ChargePoint Home Flex over bluetooth. also on its own one plug-in. four vendors. zero clicks after the first move. but the exploit isn't the interesting part. the wall connector firmware is bare metal ARM, binary only, no source, no symbols. testing it live on the device gets you one attempt every few seconds and a single bit of feedback: did it crash. they built an emulator to run the firmware off the actual hardware. same testing, 1000x faster. that's the difference between "this chip is unfuzzable" and finding a critical bug in hours. the bug: a signed integer read from the firmware header turns into a memory write past where it should stop, during the exact step meant to verify the firmware is legit. it had been sitting there through however many people read that code. slides in the reply. this might be my favorite Black Hat talk this year.

someone just plugged a cable into a Tesla charger and turned it into a computer virus. Tobias Scharnowski compromised a Tesla Universal Wall Connector through the charging cable itself. the chain: → compromise the Tesla Wall Connector through the charging cable itself (SWCAN protocol on the Control Pilot line, the wire that's supposed to just talk power levels) → the charger then hacks the car's infotainment system over wifi. on its own → the car parks near chargers from other brands → the infotainment system hacks an Autel MaxiCharger and a ChargePoint Home Flex over bluetooth. also on its own one plug-in. four vendors. zero clicks after the first move. but the exploit isn't the interesting part. the wall connector firmware is bare metal ARM, binary only, no source, no symbols. testing it live on the device gets you one attempt every few seconds and a single bit of feedback: did it crash. they built an emulator to run the firmware off the actual hardware. same testing, 1000x faster. that's the difference between "this chip is unfuzzable" and finding a critical bug in hours. the bug: a signed integer read from the firmware header turns into a memory write past where it should stop, during the exact step meant to verify the firmware is legit. it had been sitting there through however many people read that code. slides in the reply. this might be my favorite Black Hat talk this year.

Het Mehta

165,599 次观看 • 1 个月前

This AI system created a viral Instagram reel with 4.1M views... completely on autopilot (linked below). These millions of views led to 10,000+ newsletter subscribers for my AI newsletter @therecapai While most creators burn out from the daily content grind, I built an n8n automation that transforms raw AI news into scroll-stopping short-form video. Here's what happens behind the scenes: → Data ingestion agents scrape Twitter, Reddit, and top AI blogs 24/7 → AI analyzes hundreds of stories and picks the top 3-5 most engaging ones → Advanced prompts craft multiple hook variations and full video scripts → HeyGen generates AI clone of me speaking script → Video editor in india ads B roll → Everything gets delivered to Slack for quick review and approval This system has brought my Instagram account to 16,000+ followers in just a few months. That's the power of consistent, data-driven content creation. I just released a deep-dive tutorial showing exactly how this works, including the prompts I literally spent hours on making it all possible. Want me to send it to you? Like & RT this post Follow so I can DM you Comment 'SYSTEM' and I'll share the complete workflow template + all the prompts. Your next viral video is literally just one automation away.

This AI system created a viral Instagram reel with 4.1M views... completely on autopilot (linked below). These millions of views led to 10,000+ newsletter subscribers for my AI newsletter @therecapai While most creators burn out from the daily content grind, I built an n8n automation that transforms raw AI news into scroll-stopping short-form video. Here's what happens behind the scenes: → Data ingestion agents scrape Twitter, Reddit, and top AI blogs 24/7 → AI analyzes hundreds of stories and picks the top 3-5 most engaging ones → Advanced prompts craft multiple hook variations and full video scripts → HeyGen generates AI clone of me speaking script → Video editor in india ads B roll → Everything gets delivered to Slack for quick review and approval This system has brought my Instagram account to 16,000+ followers in just a few months. That's the power of consistent, data-driven content creation. I just released a deep-dive tutorial showing exactly how this works, including the prompts I literally spent hours on making it all possible. Want me to send it to you? Like & RT this post Follow so I can DM you Comment 'SYSTEM' and I'll share the complete workflow template + all the prompts. Your next viral video is literally just one automation away.

David Roberts

13,138 次观看 • 11 个月前

📢 PERORMANCE V4 IS LIVE We've spent over 10 years at the Top of Performance Improvement companies, earning our place as the world’s #1 E-Sports PC Optimization Specialists. From elite players to top-tier orgs and hardware giants, our mission has always been clear: unlock every ounce of power your PC holds. Today, that mission reaches everyone. Whether you're a competitive gamer or managing high-level operations, tuned performance and low system latency matters. That’s why we’re proud to unveil Performance V4: a completely free utility app crafted and designed by my team and I as the first glimpse into increasing PC Performance for entirely free. Performance V4 is the beginning stages of the upcoming Paragon Tweak Utility (PTU): a revolutionary full-suite optimization platform, soon available through our website, and eventually to the Epic Games Store and Microsoft Store. Our current business strategy has two massive scale issues— the human resources required to optimize each customer's PC, and time to execution with appointment setting & correspondence. We believe that the next step is to create software that replaces that work, and in turn makes PC optimizations more accessible and more common for all, which is why we are launching on Believe. With more access to expendable cash, we can create our vision faster. The Performance V4 is LIVE , alongside an exclusive first look at PTU later next week. If you want to believe in something, believe in us 🫡

📢 PERORMANCE V4 IS LIVE We've spent over 10 years at the Top of Performance Improvement companies, earning our place as the world’s #1 E-Sports PC Optimization Specialists. From elite players to top-tier orgs and hardware giants, our mission has always been clear: unlock every ounce of power your PC holds. Today, that mission reaches everyone. Whether you're a competitive gamer or managing high-level operations, tuned performance and low system latency matters. That’s why we’re proud to unveil Performance V4: a completely free utility app crafted and designed by my team and I as the first glimpse into increasing PC Performance for entirely free. Performance V4 is the beginning stages of the upcoming Paragon Tweak Utility (PTU): a revolutionary full-suite optimization platform, soon available through our website, and eventually to the Epic Games Store and Microsoft Store. Our current business strategy has two massive scale issues— the human resources required to optimize each customer's PC, and time to execution with appointment setting & correspondence. We believe that the next step is to create software that replaces that work, and in turn makes PC optimizations more accessible and more common for all, which is why we are launching on Believe. With more access to expendable cash, we can create our vision faster. The Performance V4 is LIVE , alongside an exclusive first look at PTU later next week. If you want to believe in something, believe in us 🫡

Paragon│Boost Gaming PC Performance

55,296 次观看 • 1 年前

I'VE SAID IT A HUNDRED TIMES $BTC local top was $82K And right on cue, here we are Look back at every call: ➮ $126K - the cycle top. Called in Oct '25 ➮ $60K - local bottom. Called in Feb '26 ➮ $63K - quick rally up. Called in Mar '26 ➮ $82K - local top. Called in Apr '26 Four calls. Four hits No paid group. No subscription. All completely for FREE Here's what I'm watching now: $69K - $71K is real support Close above $73K this week and $75K is back on the table Lose $70K and the next stop is $65K - where the same buyer who loaded at $60K in February will start reaching for the bid But here's the thing nobody else is going to tell you: The drop from $82K is slow Just like the climb from $65K was slow That's the signal Any move - up or down - without massive liquidations is just noise And right now BTC is doing exactly that. Pretending the short-term trend is real (from 82k to 71k) That's the move big players use to convince the crowd. Get them comfortable. Then flip the table. Two scenarios from here: 1. The slow drift carries us down into the $50K - $60K zone over a few months. That's where I'd expect a real bottom to form. Maybe lower. Crowd sentiment will decide 2. We see a quiet bounce back up to attempt $82K again. New high, then the trap closes 2026 is the year. You either build serious wealth or you watch it disappear. There's no third option. And sitting on your hands is the most dangerous one. Don't worry though - my system flags the exact moment the market shifts from CAUTION to DANGER. You'll be warned before it hits, like always. Follow me with NOTIFS on Many people made 2 simple clicks and changed their lives forever

I'VE SAID IT A HUNDRED TIMES $BTC local top was $82K And right on cue, here we are Look back at every call: ➮ $126K - the cycle top. Called in Oct '25 ➮ $60K - local bottom. Called in Feb '26 ➮ $63K - quick rally up. Called in Mar '26 ➮ $82K - local top. Called in Apr '26 Four calls. Four hits No paid group. No subscription. All completely for FREE Here's what I'm watching now: $69K - $71K is real support Close above $73K this week and $75K is back on the table Lose $70K and the next stop is $65K - where the same buyer who loaded at $60K in February will start reaching for the bid But here's the thing nobody else is going to tell you: The drop from $82K is slow Just like the climb from $65K was slow That's the signal Any move - up or down - without massive liquidations is just noise And right now BTC is doing exactly that. Pretending the short-term trend is real (from 82k to 71k) That's the move big players use to convince the crowd. Get them comfortable. Then flip the table. Two scenarios from here: 1. The slow drift carries us down into the $50K - $60K zone over a few months. That's where I'd expect a real bottom to form. Maybe lower. Crowd sentiment will decide 2. We see a quiet bounce back up to attempt $82K again. New high, then the trap closes 2026 is the year. You either build serious wealth or you watch it disappear. There's no third option. And sitting on your hands is the most dangerous one. Don't worry though - my system flags the exact moment the market shifts from CAUTION to DANGER. You'll be warned before it hits, like always. Follow me with NOTIFS on Many people made 2 simple clicks and changed their lives forever

Reflection🪩

224,402 次观看 • 3 个月前

Deepseek V4 Flash 0731 (Q2) - 12 tokens/sec - Single RTX 4090 - 650+ tokens/sec prefill - 250k context - no kv cache quantization! DeepSeek just dropped the official V4 Flash 0731 two days ago with a massive agent capabilities upgrade. The official benchmarks are literally crushing their own V4-Pro-Preview on agentic tasks like Terminal Bench 2.1 and DeepSWE. Unsloth AI said they couldn't wait to bring it to local devices, and they delivered. If you thought my 118B Poolside Laguna S 2.1 MoE run last week on a single GPU was wild, hold onto your hardware. I just successfully ran Unsloth’s brand new 91GB DeepSeek-V4-Flash-0731 (UD-IQ2_M) GGUF entirely locally. And I pushed it to a mind-bending 250,000 context window. The VRAM ceiling is an illusion if you know how to optimize llama.cpp. Here are the benchmarks and the cheat codes to run a local frontier class model yourself. For the hardware and setup, I used a single NVIDIA RTX 4090 (24GB VRAM) hooked up via a PCIe 4 bus, running Ubuntu 22.04 LTS and CUDA 13.0. You don't need a massive enterprise server for this, if you have more than 80 GB of standard DDR4 RAM and a 24GB card like an RTX 3090 or 4090, you can run this exact stack yourself. All benchmarks were run using a massive 28k token prompt to truly stress test the prefill limits. no kv cache quantization THE BENCHMARKS (Scaling Context): # 80k Context (Baseline: -b 2048 -ub 2048): Prefill: 465.43 t/s | Decode: 13.00 t/s | VRAM: 22.87 GB # 80k Context (Optimized: -b 4096 -ub 4096): Prefill: 643.15 t/s | Decode: 12.20 t/s | VRAM: 23.00 GB (Notice how doubling the batch flags spiked my prefill throughput by nearly 200 t/s with almost zero VRAM penalty) # 180k Context (-b 4096 -ub 4096): Prefill: 629.18 t/s | Decode: 11.92 t/s | VRAM: 23.40 GB # 250k Context MAXIMUM (-b 4096 -ub 4096): Prefill: 619.02 t/s | Decode: 11.54 t/s | VRAM: 23.40 GB # THE SECRET SAUCE (Why this works): Unsloth’s UD-IQ2_M quant is ~91GB across 3 files. Since I only have 24GB of VRAM, the PCIe 4 bus and system RAM have to do the heavy lifting. The magic bullet is the --no-mmap flag. By completely bypassing OS disk paging, I forced llama.cpp to load the massive model weights directly into the system RAM upfront. Combined with Flash Attention (-fa on) and exactly 12 CPU threads (--threads 12), I maintained an incredibly stable 11.5+ tokens/sec decode speed even at a quarter million token context. # THE EXACT COMMAND: ./build/bin/llama-server -m /workspace/models/DeepSeek-V4-Flash-0731-UD-IQ2_M-00001-of-00003.gguf -c 250000 -fa on --port 8080 --threads 12 -b 4096 -ub 4096 --no-mmap -v Local conversational and agentic coding AI is fully here. You don’t need an API or an H100 cluster. Qwen 3.8 27b drops next week making the 24GB VRAM tier even more worthwhile. What does your current local AI rig look like, and what's the craziest model you've managed to squeeze into it? Official huggingface GGUF links from Unsloth and performance graphs are dropped in the replies below!

Alok

46,100 次观看 • 1 个月前

Rob Cunningham on Trump, XRP & the New Financial System | Free the Money Ep. 28 In this episode of Free the Money, Rob Cunningham returns to discuss what he believes is a massive transition in the global financial system. We discuss Trump’s recent executive orders, the Federal Reserve exploring “skinny master accounts” for fintech and crypto firms, and why Rob believes America is moving toward a blockchain-based financial system built around tokenization, digital settlement, and greater transparency. Rob shares his thoughts on: • RLUSD & Treasury-backed digital dollars • Trump’s trip to China and the possibility of a new monetary order • Gold, debt, bond markets & a potential “Jubilee-style” reset • The City of London, central banking & global financial power structures • Why he believes the system is shifting from opacity toward transparency Whether you agree with every point or not, this conversation will definitely make you think. We covered everything from macroeconomics and sound money to faith, sovereignty, and the future of finance. Watch now and let me know your thoughts below 👇 Sign up for iTrustCapital using my link for a $100 funding bonus and see why more people are opening tax-advantaged Crypto, Gold & Silver IRAs to diversify and protect their future wealth: Check out my favorite privacy coin, Zano and follow Zano for updates. You can buy Zano seamlessly on MEXC using a VPN, or browse the full list of exchanges where Zano is available here: You can also find educational content, tutorials, and interviews on the official Zano YouTube Channel: 0:00 Rob Cunningham’s Wild Background: Pilot, Banker, Truth Seeker 4:35 Trump Quietly Ordered the Fed? Skinny Master Accounts & Treasury Control 7:25 The Tokenization Revolution 9:11 iTrustCapital 15:16 Zano 17:43 Trump’s Executive Orders Could Fast-Track America’s Blockchain Financial System 22:41 Trump’s China Trip, Global Power Shifts & the New Monetary Order 30:22 Gold, China & the Global Power Struggle: “Those Who Hold the Gold Make the Rules” 35:04 Jubilee-Style Debt Reset? Biblical Finance, Global Debt & the Fourth Turning 39:13 Victory Notes, Ending the Federal Reserve & RLUSD’s Potential Role in America’s New Monetary System 49:16 Religion vs Faith: The Hidden Difference Most People Never Question 54:28 The City of London Explained: Central Banking, Global Power & Financial Control 58:36 The Future of XRP: Liquidity, Sovereignty & the Internet of Value

Rob Cunningham on Trump, XRP & the New Financial System | Free the Money Ep. 28 In this episode of Free the Money, Rob Cunningham returns to discuss what he believes is a massive transition in the global financial system. We discuss Trump’s recent executive orders, the Federal Reserve exploring “skinny master accounts” for fintech and crypto firms, and why Rob believes America is moving toward a blockchain-based financial system built around tokenization, digital settlement, and greater transparency. Rob shares his thoughts on: • RLUSD & Treasury-backed digital dollars • Trump’s trip to China and the possibility of a new monetary order • Gold, debt, bond markets & a potential “Jubilee-style” reset • The City of London, central banking & global financial power structures • Why he believes the system is shifting from opacity toward transparency Whether you agree with every point or not, this conversation will definitely make you think. We covered everything from macroeconomics and sound money to faith, sovereignty, and the future of finance. Watch now and let me know your thoughts below 👇 Sign up for iTrustCapital using my link for a $100 funding bonus and see why more people are opening tax-advantaged Crypto, Gold & Silver IRAs to diversify and protect their future wealth: Check out my favorite privacy coin, Zano and follow Zano for updates. You can buy Zano seamlessly on MEXC using a VPN, or browse the full list of exchanges where Zano is available here: You can also find educational content, tutorials, and interviews on the official Zano YouTube Channel: 0:00 Rob Cunningham’s Wild Background: Pilot, Banker, Truth Seeker 4:35 Trump Quietly Ordered the Fed? Skinny Master Accounts & Treasury Control 7:25 The Tokenization Revolution 9:11 iTrustCapital 15:16 Zano 17:43 Trump’s Executive Orders Could Fast-Track America’s Blockchain Financial System 22:41 Trump’s China Trip, Global Power Shifts & the New Monetary Order 30:22 Gold, China & the Global Power Struggle: “Those Who Hold the Gold Make the Rules” 35:04 Jubilee-Style Debt Reset? Biblical Finance, Global Debt & the Fourth Turning 39:13 Victory Notes, Ending the Federal Reserve & RLUSD’s Potential Role in America’s New Monetary System 49:16 Religion vs Faith: The Hidden Difference Most People Never Question 54:28 The City of London Explained: Central Banking, Global Power & Financial Control 58:36 The Future of XRP: Liquidity, Sovereignty & the Internet of Value

Bri Teresi

37,328 次观看 • 4 个月前