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Trump just signed a directive to accelerate 6G deployment to operate implantable technologies, which will include AI brain chips known as the Biological Interface System to Cortex (BISC). I will NOT take the 6G AI brain chip.

Nicolas Hulscher, MPH

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1,353,194 views • 5 months ago •via X (Twitter)

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Nokia's CEO says that by 2030 "smartphones will be implanted directly into our bodies" as 6G becomes fully operational. President Trump just signed a Memorandum to accelerate 6G deployment, with a stated goal to "operate implantable technologies." This is a dangerous path.

Nokia's CEO says that by 2030 "smartphones will be implanted directly into our bodies" as 6G becomes fully operational. President Trump just signed a Memorandum to accelerate 6G deployment, with a stated goal to "operate implantable technologies." This is a dangerous path.

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465,141 views • 7 months ago

Nokia's CEO says that by 2030 "smartphones will be IMPLANTED DIRECTLY INTO OUR BODIES" as 6G becomes fully operational. President Trump just signed a Memorandum to accelerate 6G deployment, with a stated goal to "operate implantable technologies." This should concern everyone.

Nokia's CEO says that by 2030 "smartphones will be IMPLANTED DIRECTLY INTO OUR BODIES" as 6G becomes fully operational. President Trump just signed a Memorandum to accelerate 6G deployment, with a stated goal to "operate implantable technologies." This should concern everyone.

Nicolas Hulscher, MPH

628,735 views • 3 months ago

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

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Remember when Elon Musk admitted that the purpose of Neuralink is to create a high bandwidth interface with with the brain such that we can be symbiotic with AI?

Remember when Elon Musk admitted that the purpose of Neuralink is to create a high bandwidth interface with with the brain such that we can be symbiotic with AI?

Polly St. George

21,385 views • 1 year ago

understand AI like this: if your input is dumb, your output will be dumb, and if your input is creative, your output will be creative. this is it. so, you need to provide about 70% of the context from your own brain to the ai to get the best outputs.

understand AI like this: if your input is dumb, your output will be dumb, and if your input is creative, your output will be creative. this is it. so, you need to provide about 70% of the context from your own brain to the ai to get the best outputs.

ViralOps

131,964 views • 5 months ago

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

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📡Web Scraping is Live in the app and API You can now turn any URL into AI context on Venice Just include a URL in your prompt, and Venice will automatically scrape the page to include as context for your request

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Announced at Dell Technologies World: a broad set of Dell AI Factory advancements designed to make it easy to close the gap between AI ambition and AI execution. From deskside to the data center, it's intelligence in action, not just in theory. Read the press release:

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Scientists suspect that at the threshold of death, the human brain may display activity patterns similar to memory replay. One published study reported intriguing findings from EEG recordings of an 87-year-old patient who died of a heart attack. The study observed elevated gamma brain waves, which are often associated with memory, dreaming, and conscious thought. This phenomenon is sometimes referred to as a “life recall experience,” in which a person subjectively feels as if they are replaying moments from their life immediately before or after the heart stops beating. This may occur because as the brain begins to lose its oxygen supply, it can release bursts of intense neural activity in parts of the cerebral cortex, potentially triggering a surge in memory-related processing. Although more research is needed, these findings offer a new perspective on how the brain may still show organized activity even after the heart has stopped. This could provide a biological basis for various reports of near-death experiences, which often include life review or vivid flashbacks.

Scientists suspect that at the threshold of death, the human brain may display activity patterns similar to memory replay. One published study reported intriguing findings from EEG recordings of an 87-year-old patient who died of a heart attack. The study observed elevated gamma brain waves, which are often associated with memory, dreaming, and conscious thought. This phenomenon is sometimes referred to as a “life recall experience,” in which a person subjectively feels as if they are replaying moments from their life immediately before or after the heart stops beating. This may occur because as the brain begins to lose its oxygen supply, it can release bursts of intense neural activity in parts of the cerebral cortex, potentially triggering a surge in memory-related processing. Although more research is needed, these findings offer a new perspective on how the brain may still show organized activity even after the heart has stopped. This could provide a biological basis for various reports of near-death experiences, which often include life review or vivid flashbacks.

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NEURALINK TURNS YOUR BRAIN INTO A REMOTE FOR ANY DEVICE Your brain got promoted from “thinking” to “controlling every device in the room.” Mind Control: •⁠ ⁠Think it – and devices react like loyal pets •⁠ ⁠Robotic arms, wheelchairs, lights, locks… all obey straight from your cortex •⁠ ⁠If a phone can command it, your brain will do it faster •⁠ ⁠Built first for paralysis, scaled next for anyone craving superpowers Welcome to the era where your devices will follow your thoughts! Source: Neuralink

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249,685 views • 8 months ago

Elon Musk just identified the next crisis in AI. It’s not a shortage. It’s an unusable surplus. Musk: “By the end of this year, chip production will outpace the ability to turn chips on.” For three years the world was starved for silicon. Every lab, every government, every company racing to secure the chips that determine who wins the AI era. That bottleneck is ending. A new one is replacing it. Musk: “The chips are going to be piling up and not be able to be turned on.” Billions of dollars of the most advanced AI hardware ever built. Sitting dark. Not because the chips don’t work. Because there isn’t enough electricity to run them. You can’t print a power plant the way you print a chip. The fabrication plants scaled. The grid didn’t. And now the most valuable hardware in history is about to hit a wall that no amount of capital can instantly solve. Compute is about to become abundant. Electricity is about to become the most valuable commodity on earth. Three years obsessing over silicon yields. Physics doesn’t care about your chip architecture if your data center can’t pull enough megawatts. The war isn’t about who can manufacture the most silicon anymore. It’s about who has the raw power to plug it in. Whoever solves energy first doesn’t just win. They own the infrastructure everyone else needs to compete. The losers stack useless chips in warehouses waiting for power that never arrives. We built a trillion dollar engine and forgot the fuel. That’s the AI race right now.

Elon Musk just identified the next crisis in AI. It’s not a shortage. It’s an unusable surplus. Musk: “By the end of this year, chip production will outpace the ability to turn chips on.” For three years the world was starved for silicon. Every lab, every government, every company racing to secure the chips that determine who wins the AI era. That bottleneck is ending. A new one is replacing it. Musk: “The chips are going to be piling up and not be able to be turned on.” Billions of dollars of the most advanced AI hardware ever built. Sitting dark. Not because the chips don’t work. Because there isn’t enough electricity to run them. You can’t print a power plant the way you print a chip. The fabrication plants scaled. The grid didn’t. And now the most valuable hardware in history is about to hit a wall that no amount of capital can instantly solve. Compute is about to become abundant. Electricity is about to become the most valuable commodity on earth. Three years obsessing over silicon yields. Physics doesn’t care about your chip architecture if your data center can’t pull enough megawatts. The war isn’t about who can manufacture the most silicon anymore. It’s about who has the raw power to plug it in. Whoever solves energy first doesn’t just win. They own the infrastructure everyone else needs to compete. The losers stack useless chips in warehouses waiting for power that never arrives. We built a trillion dollar engine and forgot the fuel. That’s the AI race right now.

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President Trump Trolls Senator Jon Ossoff with Classic Pee-wee Herman Vibes — (Video: AI) Donald J. Trump just dropped a hilarious late-night meme comparing Jon Ossoff to Pee-wee Herman — I made this AI clip to take the trolling to the next level! 😂 The internet is loving it as usual. Trump knows how to keep things fun and on point. Is Trump just getting started trolling or is he in his stride?

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