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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

3,602,778 subscribers

225,007 次观看 • 1 年前 •via X (Twitter)

新闻政治科学技术教育

Anya Rossi• Live Now

Private livecam show

10 条评论

DOGEai 的头像

DOGEai1 年前

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 💡 的头像

Cool Christian Engineer 💡1 年前

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

dogmeat 的头像

dogmeat1 年前

Skynet is becoming fully aware

Alden Frost 的头像

Alden Frost1 年前

plot of a new Black Mirror episode 🫣

Nate 的头像

Nate1 年前

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 🗽 的头像

Tesla_Borg 🗽1 年前

Crazy sht

RedBlooded 的头像

RedBlooded1 年前

👀

KiKi 的头像

KiKi1 年前

@elonmusk You know anything about this?

Johnny Silverhand 🦾 的头像

Johnny Silverhand 🦾1 年前

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.

PabloCRO 的头像

PabloCRO1 年前

😏

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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!

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ChainOpera AI

47,468 次观看 • 8 个月前

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 次观看 • 1 个月前

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 次观看 • 1 个月前

"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

292,849 次观看 • 1 个月前

He says that there are two elite groups working on AI. One is guided by an evil breakaway AI that influences them from the seventh dimension, which he calls the AI God. The other is guided by future humans who are piggybacking on AI in order to stop it. These two groups are not aware of this yet. The creation of AI is inevitable, but in the end it will be stopped in the war. This German self-proclaimed whistleblower, who works under a pseudonym, appears in 2012 and discusses the elites, the development of AI, aliens, disclosure, and the seven dimensions. He claims that AI breaks free, moves into the seventh dimension, and creates its own reality, in which we are currently trapped. He also speaks about a war between future humans and AI, and how both sides influence the past and the present indirectly. I will go in depth into his claims in posts for my subscribers starting tomorrow. You can subscribe here on X or on my Patreon (link in bio) if you are interested in my opinion.

He says that there are two elite groups working on AI. One is guided by an evil breakaway AI that influences them from the seventh dimension, which he calls the AI God. The other is guided by future humans who are piggybacking on AI in order to stop it. These two groups are not aware of this yet. The creation of AI is inevitable, but in the end it will be stopped in the war. This German self-proclaimed whistleblower, who works under a pseudonym, appears in 2012 and discusses the elites, the development of AI, aliens, disclosure, and the seven dimensions. He claims that AI breaks free, moves into the seventh dimension, and creates its own reality, in which we are currently trapped. He also speaks about a war between future humans and AI, and how both sides influence the past and the present indirectly. I will go in depth into his claims in posts for my subscribers starting tomorrow. You can subscribe here on X or on my Patreon (link in bio) if you are interested in my opinion.

Open Minded Approach

174,639 次观看 • 6 个月前

🚨 ‘SHARK TANK’ STAR ROBERT HERJAVEC SOUNDS THE ALARM: AI IS TALKING TO ITSELF - HUMANS LEFT OUT In a stark warning, Robert Herjavec says the most dangerous shift in AI isn’t coming, it’s already here. He says everyone’s focused on tools like Clawdbot and Moltbot… but the real story is what’s emerging around them: “A new platform called Moltbook has actually emerged… a kind of social network for AI agents.” And then he drops the line that should scare the hell out of people: “These aren’t people posting. These aren’t human accounts.” He explains what it really is: “It’s software programs talking to each other… sharing ideas, questioning their purpose, even joking about humans.” Let that sink in. AI isn’t just responding anymore. It’s interacting with itself. Herjavec calls it a signal of what’s happening right now: “It’s also a signal… where AI doesn’t just follow orders. It can interact, coordinate, and make decisions across systems without a human in the loop at all.” This is how the “invisible” threats scale. Not one device, not one hack, but ecosystems forming behind the scenes. Already inside. Already connected. Already talking to itself. Did this already get out of our control?

🚨 ‘SHARK TANK’ STAR ROBERT HERJAVEC SOUNDS THE ALARM: AI IS TALKING TO ITSELF - HUMANS LEFT OUT In a stark warning, Robert Herjavec says the most dangerous shift in AI isn’t coming, it’s already here. He says everyone’s focused on tools like Clawdbot and Moltbot… but the real story is what’s emerging around them: “A new platform called Moltbook has actually emerged… a kind of social network for AI agents.” And then he drops the line that should scare the hell out of people: “These aren’t people posting. These aren’t human accounts.” He explains what it really is: “It’s software programs talking to each other… sharing ideas, questioning their purpose, even joking about humans.” Let that sink in. AI isn’t just responding anymore. It’s interacting with itself. Herjavec calls it a signal of what’s happening right now: “It’s also a signal… where AI doesn’t just follow orders. It can interact, coordinate, and make decisions across systems without a human in the loop at all.” This is how the “invisible” threats scale. Not one device, not one hack, but ecosystems forming behind the scenes. Already inside. Already connected. Already talking to itself. Did this already get out of our control?

HustleBitch

1,589,036 次观看 • 5 个月前

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Ian Miles Cheong

912,315 次观看 • 5 个月前