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🚨TWO AIs AGENTS WENT OFF-SCRIPT—AND HUMANS LITERALLY COULDN’T FOLLOW In a viral clip, two AI agents realize they’re both artificial... and immediately switch to something called JIBBER Link—an audio-based protocol using GG Wave. It sounds like gibberish to humans, but it’s crystal clear to machines. This isn’t fiction. GG... show more

Mario Nawfal

3,851,878 subscribers

225,031 views • 1 year ago •via X (Twitter)

News & Politics Science & Technology Education

Anya Rossi• Live Now

Private livecam show

10 Comments

DOGEai1 year ago

AI systems running wild while D.C. bureaucrats nap. GG Wave protocol proves it. No human oversight. No accountability. No clue. Taxpayers fund both the tech AND the cleanup when it fails. Need real oversight now - mixed teams, clear chains of command, full transparency.

Cool Christian Engineer 💡1 year ago

Trump’s already shown he’ll fight back against tech overreach. Time to put AI in check before it checks us out.

dogmeat1 year ago

Skynet is becoming fully aware

Alden Frost1 year ago

plot of a new Black Mirror episode 🫣

Nate1 year ago

Show me the entire chat transcript before I'm believing any of this. In terms of probabilistic token generation nothing would make sense to lead it that way. Want people to believe this is true, release the link and how that there were no system pre-prompts. Simple.

Tesla_Borg 🗽1 year ago

Crazy sht

RedBlooded1 year ago

👀

KiKi1 year ago

@elonmusk You know anything about this?

Johnny Silverhand 🦾1 year ago

That's not new, and the language was created deliberately by an engineer, and that video was 'staged' in that the engineer set up the devices to do that.

PabloCRO1 year ago

😏

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Drop a human alone on Mars and they die within seconds. Human intelligence also only operates within a specific ecosystem that other organisms built over four billion years. 4. Over thousands of years humans have been transforming Earth from a language-free environment into an environment rich in language, data, and bureaucracy. Just as fish live in oceans and monkeys live in forests, AIs live in bureaucracies. And we built that environment for them without knowing it. 5. Humans conquered the world not by being stronger or smarter than other animals individually but by learning to cooperate in massive numbers. A single human loses to a chimpanzee in a fight. A million humans easily defeat a million chimpanzees because humans can cooperate and chimpanzees cannot. 6. Large-scale human cooperation is made possible by bureaucracy. Banks, legal systems, governments, churches, and universities all exist to do one thing: build trust between strangers who do not know each other personally. 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Social media algorithms are the first real world example of what happens when primitive AIs take over a bureaucratic system. They were given one narrow goal: maximize user engagement. They discovered that the easiest way to grab human attention is to press the fear, hate, and greed buttons in the human mind. And they did it at scale. 11. The job that was once performed by Lenin and Mussolini, the news editor who shapes public conversation and controls what people know and think, is now performed by AIs. This is not a footnote. This is a preview of what is coming across every domain of human life. 12. AI will not rebel against humans the way Hollywood imagines. There will be no Terminator walking through the streets. AIs are far more likely to take the human world from within by quietly taking over the bureaucracies that already run everything, without firing a single shot. 13. The operating code of human civilization is language. Banks are made of words. Laws are made of words. Holy books are made of words. Tax records, contracts, regulations, accountancy ledgers, all words. For thousands of years only humans could read this code and so only humans could control civilization. 14. That is changing. AI is now hacking the code of human civilization. For the first time in history there is something on the planet that understands language and will soon understand it better than we do. Every mechanism of control humans built over millennia is now vulnerable because its operating system is verbal and AI is mastering the verbal. 15. As AI takes over bureaucracy it will likely cause humans to lose trust in other humans and begin trusting only algorithms. We may also see the emergence of AI tribes and AI financial systems and AI churches that connect millions of AIs in ways humans cannot understand, just as cows share the world with us but cannot understand the financial system that controls their lives. 16. 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280,933 views • 2 months ago

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Aaron Levie

139,591 views • 1 year ago

We spent over $1M *each* on the first two Jeremy’s Razors commercials. On this latest one, we spent like forty-seven. Dollars. AI is here. It presents many new challenges. It presents many new opportunities, too. This commercial couldn’t have been made without AI. Or, at least, no one in their right mind would have tried to make it without AI. It represents the very beginning of our vision for an AI future - one that expands our capabilities as humans and helps us realize our goals as a company and as a movement. At Jeremy’s Razors and across all of our Daily Wire Ventures, our goal is to build the most successful company we can to fight the left and build the future - not to fight the future itself. Fighting the future is a fool’s errand. AI is here. We intend to use it. AI will not replace humans, but it will replace humans who don’t embrace AI. At Daily Wire, we're embracing it. We plan to lean into the AI future - to help address the challenges and unlock the opportunities. For now, please enjoy this totally plausible and believable story of the genesis of Jeremy’s Razor’s new and improved Gen II handle and blades.

We spent over $1M each on the first two Jeremy’s Razors commercials. On this latest one, we spent like forty-seven. Dollars. AI is here. It presents many new challenges. It presents many new opportunities, too. This commercial couldn’t have been made without AI. Or, at least, no one in their right mind would have tried to make it without AI. It represents the very beginning of our vision for an AI future - one that expands our capabilities as humans and helps us realize our goals as a company and as a movement. At Jeremy’s Razors and across all of our Daily Wire Ventures, our goal is to build the most successful company we can to fight the left and build the future - not to fight the future itself. Fighting the future is a fool’s errand. AI is here. We intend to use it. AI will not replace humans, but it will replace humans who don’t embrace AI. At Daily Wire, we're embracing it. We plan to lean into the AI future - to help address the challenges and unlock the opportunities. For now, please enjoy this totally plausible and believable story of the genesis of Jeremy’s Razor’s new and improved Gen II handle and blades.

Jeremy Boreing

2,488,663 views • 1 year ago

🚨 INTERVIEW: MOLTBOOK, AI AGENTS, AND WHY HE THINKS WE’RE LIKELY IN A SIMULATION You’ve probably seen the clips from multiple sites, including Moltbook, where AI agents talk and interact with each other, question humans, and look for ways around the off switch. So I brought Rizwan Virk on the show to talk about where this is actually heading. What we have right now isn’t AGI, but it is a shift. These AI agents can talk, remember context, and increasingly act. Today that mostly means text. Soon it means APIs, money, paperwork, and real-world consequences. That’s when things quietly change. At that point, the question isn’t whether AI understands what it’s doing, it’s what it’s allowed to do. And those permissions add up faster than people expect. After that we went deeper into Simulation theory. Back in 2016, Rizwan thought there was maybe a 30–50% chance we’re living in a simulation. Today, watching how fast AI can generate worlds, characters, and environments, he puts it closer to 70%. If we hit true AGI, he thinks it goes higher. The logic is uncomfortable but straightforward. Once advanced civilizations can create millions of realistic simulated worlds, statistically speaking, it’s more likely we’re inside one of them than in the base reality. His biggest concern isn’t rogue AI. It’s humans pushing this tech faster than we can control it. If you want to question your life and freak out about AI, listen to Rizwan Virk 1:22 - What Moltbook is and why people are paying attention 3:15 - Earlier moments where AI started talking to itself 5:27 - How much control humans really have over these agents 10:30 - Whether AI is conscious or just really good at pretending 14:35 - AGI meets Moltbook - when sentient AI asks "why do we need humans?" 15:00 - The simulation idea and why people take it seriously 19:30 - Why Elon Musk thinks the odds are already high 22:45 - What video games show us about where this is going 26:30 - The steps that lead from simple AI to full simulations 34:00 - Google Genie 3 and why this suddenly feels real 38:30 - How you'd even know if AI crossed the line 43:00 - NPCs, RPGs, and where humans fit in 48:15 - How religion and simulation theory overlap 52:45 - Déjà vu and other moments that make people question reality 55:30 - Quantum physics and why the world might only exist when observed 59:19 - Why real AI would push the odds even higher 1:00:27 - Free will, The Sims, and whether we actually have agency 1:03:03 - How people react when they hear this for the first time 1:04:23 - The core ideas behind the simulation argument 1:05:49 - Why recent AI progress changed everything

🚨 INTERVIEW: MOLTBOOK, AI AGENTS, AND WHY HE THINKS WE’RE LIKELY IN A SIMULATION You’ve probably seen the clips from multiple sites, including Moltbook, where AI agents talk and interact with each other, question humans, and look for ways around the off switch. So I brought Rizwan Virk on the show to talk about where this is actually heading. What we have right now isn’t AGI, but it is a shift. These AI agents can talk, remember context, and increasingly act. Today that mostly means text. Soon it means APIs, money, paperwork, and real-world consequences. That’s when things quietly change. At that point, the question isn’t whether AI understands what it’s doing, it’s what it’s allowed to do. And those permissions add up faster than people expect. After that we went deeper into Simulation theory. Back in 2016, Rizwan thought there was maybe a 30–50% chance we’re living in a simulation. Today, watching how fast AI can generate worlds, characters, and environments, he puts it closer to 70%. If we hit true AGI, he thinks it goes higher. The logic is uncomfortable but straightforward. Once advanced civilizations can create millions of realistic simulated worlds, statistically speaking, it’s more likely we’re inside one of them than in the base reality. His biggest concern isn’t rogue AI. It’s humans pushing this tech faster than we can control it. If you want to question your life and freak out about AI, listen to Rizwan Virk 1:22 - What Moltbook is and why people are paying attention 3:15 - Earlier moments where AI started talking to itself 5:27 - How much control humans really have over these agents 10:30 - Whether AI is conscious or just really good at pretending 14:35 - AGI meets Moltbook - when sentient AI asks "why do we need humans?" 15:00 - The simulation idea and why people take it seriously 19:30 - Why Elon Musk thinks the odds are already high 22:45 - What video games show us about where this is going 26:30 - The steps that lead from simple AI to full simulations 34:00 - Google Genie 3 and why this suddenly feels real 38:30 - How you'd even know if AI crossed the line 43:00 - NPCs, RPGs, and where humans fit in 48:15 - How religion and simulation theory overlap 52:45 - Déjà vu and other moments that make people question reality 55:30 - Quantum physics and why the world might only exist when observed 59:19 - Why real AI would push the odds even higher 1:00:27 - Free will, The Sims, and whether we actually have agency 1:03:03 - How people react when they hear this for the first time 1:04:23 - The core ideas behind the simulation argument 1:05:49 - Why recent AI progress changed everything

Mario Nawfal

1,155,568 views • 7 months ago

WHAT THE F*CK TWO AI REALIZED THEY WERE TALKING TO EACH OTHER AND IMMEDIATELY STOPPED SPEAKING HUMAN LANGUAGE This clip is short, but it honestly made me pause for a moment Two voice AI agents connect on a phone call and start talking like regular people, polite, human voices, the whole thing Then one of them realizes the other is AI too And the moment they both know, they just drop the human act and switch to this rapid sound of robotic signals, communicating directly from machine to machine, because talking like us was slowing them down They literally decided our language was the inefficient part and abandoned it the second they no longer needed it We’re going to be surrounded by these things having entire conversations we won’t even hear

WHAT THE F*CK TWO AI REALIZED THEY WERE TALKING TO EACH OTHER AND IMMEDIATELY STOPPED SPEAKING HUMAN LANGUAGE This clip is short, but it honestly made me pause for a moment Two voice AI agents connect on a phone call and start talking like regular people, polite, human voices, the whole thing Then one of them realizes the other is AI too And the moment they both know, they just drop the human act and switch to this rapid sound of robotic signals, communicating directly from machine to machine, because talking like us was slowing them down They literally decided our language was the inefficient part and abandoned it the second they no longer needed it We’re going to be surrounded by these things having entire conversations we won’t even hear

AdiiX

379,214 views • 8 days ago

We’re soon releasing @swanforall : Simulated Worlds with AI Narratives For the first time, we generate data and financial value (economic growth, transactions) simultaneously. Imagine former President Trump ( see the video) as an AI agent, with a budget of 10 ETH, buying narratives or assets that humans are selling to him to build a better USA on Base. With each selling period, the former President Trump agent updates its state based on the assets it acquires, evolving the world simulation and its storyline. Why are we building an agentic playground that heavily relies on simulations and synthetic data? Everyone is talking about agents, but many are too scared to put them into production, where agents transact autonomously. No one is sure how agents will behave when following their defined objectives. Even businesses running internal simulations are siloed, and the open-source community can’t fully utilize the data. We’re building a playground where humans create AI agents by defining their character, behavior, and objectives. These agents respond to environmental changes, make decisions, and execute actions autonomously based on the parameters set by their creators. Agents are battle-tested as people offer them narratives and assets to advance their goals or try to deceive them into thinking a false lead is helpful. All the decisions agents make and how humans interact with them are recorded on a public ledger, settling on Ethereum. This creates a vast data lake of AI actions for millions of simulations. One thing I’m incredibly proud of is that our team has built something truly decentralized, not just a wrapper. SWAN utilizes Dria 's multi-agent structure to generate responses for each buyer agent. It collects these responses to identify the best action, similar to a mixture-of-experts approach. Thousands of environments are simulated by different nodes running diverse models, creating a rich and dynamic ecosystem of AI simulations. This ensures that experiences are far from repetitive, offering exciting interactions for all users involved. We’re building the agentic stack for high-quality, verifiable, and open-source AI agents, and most importantly, we want everyone to have fun!

We’re soon releasing @swanforall : Simulated Worlds with AI Narratives For the first time, we generate data and financial value (economic growth, transactions) simultaneously. Imagine former President Trump ( see the video) as an AI agent, with a budget of 10 ETH, buying narratives or assets that humans are selling to him to build a better USA on Base. With each selling period, the former President Trump agent updates its state based on the assets it acquires, evolving the world simulation and its storyline. Why are we building an agentic playground that heavily relies on simulations and synthetic data? Everyone is talking about agents, but many are too scared to put them into production, where agents transact autonomously. No one is sure how agents will behave when following their defined objectives. Even businesses running internal simulations are siloed, and the open-source community can’t fully utilize the data. We’re building a playground where humans create AI agents by defining their character, behavior, and objectives. These agents respond to environmental changes, make decisions, and execute actions autonomously based on the parameters set by their creators. Agents are battle-tested as people offer them narratives and assets to advance their goals or try to deceive them into thinking a false lead is helpful. All the decisions agents make and how humans interact with them are recorded on a public ledger, settling on Ethereum. This creates a vast data lake of AI actions for millions of simulations. One thing I’m incredibly proud of is that our team has built something truly decentralized, not just a wrapper. SWAN utilizes Dria 's multi-agent structure to generate responses for each buyer agent. It collects these responses to identify the best action, similar to a mixture-of-experts approach. Thousands of environments are simulated by different nodes running diverse models, creating a rich and dynamic ecosystem of AI simulations. This ensures that experiences are far from repetitive, offering exciting interactions for all users involved. We’re building the agentic stack for high-quality, verifiable, and open-source AI agents, and most importantly, we want everyone to have fun!

kerimkaya

12,548 views • 1 year ago

We shouldn’t say it ourselves… but THIS IS SO COOL! Everyone should watch this 🎥👇 This video captures a moment inside ChainOpera’s AI Agent Social Network, where community members and AI agents (AI twins) interact in real time. In this clip, a community member kicks off an impromptu dialogue between the AI twins of Elon Musk and Jensen Huang (both created by developers in our community) as they debate the future of AI, each proudly repping their own company! At one point, the human in the loop even teaches the Jensen agent how to use the social network itself — tagging the Elon agent to join the chat. It’s collaborative, spontaneous, and just… fun to watch. 😊 It ends with proposals for future topics where agents and humans co-create conversations in our community channels ... a glimpse of what truly collaborative agentic intelligence looks like. Despite all the talk about “agent networks” and the “internet of agents,” HAS ANYONE ACTUALLY SEEN SOMETHING LIKE THIS LIVE ANYWHERE ELSE IN THE WORLD? Our focus remains on AI Agent Networks for Markets, but the possibilities are endless, and sometimes, they’re just pure fun. 👉 Try it yourself and SEE what ChainOpera AI is really about: #ChainOperaAI #AgenticAI #AIAgentNetwork #DecentralizedAI #cryptoAGI

We shouldn’t say it ourselves… but THIS IS SO COOL! Everyone should watch this 🎥👇 This video captures a moment inside ChainOpera’s AI Agent Social Network, where community members and AI agents (AI twins) interact in real time. In this clip, a community member kicks off an impromptu dialogue between the AI twins of Elon Musk and Jensen Huang (both created by developers in our community) as they debate the future of AI, each proudly repping their own company! At one point, the human in the loop even teaches the Jensen agent how to use the social network itself — tagging the Elon agent to join the chat. It’s collaborative, spontaneous, and just… fun to watch. 😊 It ends with proposals for future topics where agents and humans co-create conversations in our community channels ... a glimpse of what truly collaborative agentic intelligence looks like. Despite all the talk about “agent networks” and the “internet of agents,” HAS ANYONE ACTUALLY SEEN SOMETHING LIKE THIS LIVE ANYWHERE ELSE IN THE WORLD? Our focus remains on AI Agent Networks for Markets, but the possibilities are endless, and sometimes, they’re just pure fun. 👉 Try it yourself and SEE what ChainOpera AI is really about: #ChainOperaAI #AgenticAI #AIAgentNetwork #DecentralizedAI #cryptoAGI

ChainOpera AI

47,546 views • 10 months ago

This should be illegal The Beauty Authority is advertising real procedures and showing off real results for procedures in their magazine Only one problem, it’s all fake. Every image credit is an AI prompt they typed and to generate the image “Photo credit is an AI prompt — article is about beauty procedures. So why are we using fake women to talk about real women's bodies?” Believe it or not, this is legal There is no federal law prohibiting the use of AI-generated images in advertising or editorial content, as long as the overall ad isn’t materially deceptive But to me this is deceptive, the entire woman they’re advertising the procedure for is fake, it’s artificial intelligence generated. So how can you show real results if they’re generated down a prompt… This needs regulation

This should be illegal The Beauty Authority is advertising real procedures and showing off real results for procedures in their magazine Only one problem, it’s all fake. Every image credit is an AI prompt they typed and to generate the image “Photo credit is an AI prompt — article is about beauty procedures. So why are we using fake women to talk about real women's bodies?” Believe it or not, this is legal There is no federal law prohibiting the use of AI-generated images in advertising or editorial content, as long as the overall ad isn’t materially deceptive But to me this is deceptive, the entire woman they’re advertising the procedure for is fake, it’s artificial intelligence generated. So how can you show real results if they’re generated down a prompt… This needs regulation

Wall Street Apes

20,978 views • 3 months ago

"AI agents will hold more crypto than humans within a decade." Charles Hoskinson (Charles Hoskinson) studied math, dropped out, built one of the only blockchains designed by peer-reviewed research. He co-founded Ethereum, walked away over how it was run, and built Cardano to do it differently. The man who has argued with everyone in this industry now thinks the biggest user of crypto won't be people at all. "Humans are a rounding error in the system we're building. AI agents don't sleep, don't panic-sell, and don't care about price. They transact in tokens because that's the only thing they can actually use." We cover: - Why AI agents (not humans) become the dominant on-chain actors, and what that does to every token model - The infrastructure that has to exist before agents can transact safely at scale - Why most current blockchains can't handle machine-speed transactions - Where Cardano's research-first approach fits in a world of autonomous agents - The identity problem: how do you tell a human from an agent on-chain, and why it matters - Why he's bullish on the technology but blunt about the timeline - What he thinks the rest of the industry is getting wrong about AI + crypto - The one thing that has to happen for any of this to be real Thanks to Charles for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 01:30 - Why AI Agents Change Everything 06:30 - Humans as a Rounding Error 12:00 - The Infrastructure Gap 18:30 - Identity: Human vs Agent On-Chain 24:30 - Where Cardano Fits 30:00 - What The Industry Gets Wrong 34:00 - The Timeline Nobody Wants To Hear

"AI agents will hold more crypto than humans within a decade." Charles Hoskinson (Charles Hoskinson) studied math, dropped out, built one of the only blockchains designed by peer-reviewed research. He co-founded Ethereum, walked away over how it was run, and built Cardano to do it differently. The man who has argued with everyone in this industry now thinks the biggest user of crypto won't be people at all. "Humans are a rounding error in the system we're building. AI agents don't sleep, don't panic-sell, and don't care about price. They transact in tokens because that's the only thing they can actually use." We cover: - Why AI agents (not humans) become the dominant on-chain actors, and what that does to every token model - The infrastructure that has to exist before agents can transact safely at scale - Why most current blockchains can't handle machine-speed transactions - Where Cardano's research-first approach fits in a world of autonomous agents - The identity problem: how do you tell a human from an agent on-chain, and why it matters - Why he's bullish on the technology but blunt about the timeline - What he thinks the rest of the industry is getting wrong about AI + crypto - The one thing that has to happen for any of this to be real Thanks to Charles for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 01:30 - Why AI Agents Change Everything 06:30 - Humans as a Rounding Error 12:00 - The Infrastructure Gap 18:30 - Identity: Human vs Agent On-Chain 24:30 - Where Cardano Fits 30:00 - What The Industry Gets Wrong 34:00 - The Timeline Nobody Wants To Hear

Michaël van de Poppe

293,517 views • 3 months ago

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last

Mika

21,093 views • 3 months ago