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Pain: Is It All in the Brain or the Heart?

Dr. Armour, in 1991, discovered that the heart has its “little brain” or “intrinsic cardiac nervous system.” This “heart brain” is composed of approximately 40,000 neurons that are alike neurons in the brain, meaning that the heart has its own nervous system. In addition, the heart communicates with the brain in many methods: neurologically, biochemically, biophysically, and energetically. The vagus nerve, which is 80% afferent, carries information from the heart and other internal organs to the brain. Signals from the “heart brain” redirect to the medulla, hypothalamus, thalamus, and amygdala and the cerebral cortex. Thus, the heart sends more signals to the brain than vice versa. Research has demonstrated that pain perception is modulated by neural pathways and methods targeting the heart such as vagus nerve stimulation and heart-rhythm coherence feedback techniques. The heart is not just a pump. It has its neural network or “little brain.” The methods targeting the heart modulate pain regions in the brain. These methods seem to modulate the key changes that occur in the brain regions and are involved in the cognitive and emotional factors of pain. Thus, the heart is probably a key moderator of pain.

Humanoid robots can jam with human musicians, stunning study shows

Humanoid robots jam live with humans, blending tech and music.


Humanoid robots are stepping into the spotlight, performing live with human musicians, in an interesting study done by researchers.

The robotic band, which included Oscar, a Robotis-OP3 who played the keyboard, and Polaris, a humanoid who drummed, worked in perfect harmony with its human counterparts.

The project demonstrates how robots are revolutionizing entertainment by enabling synchronized performances that combine technology and creativity in a completely new way. It does this by utilizing cutting-edge technologies such as human-robot interaction and the Robot Operating System (ROS).

AGI Bot A2 Demos DEEPSEEK AI Level Humanoid Robot Tech Advance (1,000,000 TRAJECTORIES)

China introduces its breakthrough DeepSeek R1 AI model as well as the most humanlike movement of potentially any robot so far with the AGI Bot A2 with BridgeDP Robotics, plus Chinese company Lumos showcases a stress test video of its LUS1 humanoid robot. Finally, ByteDance releases UI-TARS to compete with OpenAI’s Orchestrator agentic AI for autonomous GUI task execution.

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Atlantis by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/.… news timestamps: 0:00 BridgeDP & AGI Bot A2 3:52 DeepSeek R1 4:36 Lumos LUS1 5:31 UI-TARS agentic AI #ai #robot #technology.

AI news timestamps:
0:00 BridgeDP & AGI Bot A2
3:52 DeepSeek R1
4:36 Lumos LUS1
5:31 UI-TARS agentic AI

#ai #robot #technology

Simulating 500 million years of evolution with a language model

An AI model created to design proteins simulates 500 million years of protein evolution in developing a previously unknown bright fluorescent protein.

Learn more in a new Science study.


More than three billion years of evolution have produced an image of biology encoded into the space of natural proteins. Here we show that language models trained at scale on evolutionary data can generate functional proteins that are far away from known proteins. We present ESM3, a frontier multimodal generative language model that reasons over the sequence, structure, and function of proteins. ESM3 can follow complex prompts combining its modalities and is highly responsive to alignment to improve its fidelity. We have prompted ESM3 to generate fluorescent proteins. Among the generations that we synthesized, we found a bright fluorescent protein at a far distance (58% sequence identity) from known fluorescent proteins, which we estimate is equivalent to simulating five hundred million years of evolution.

The World’s Worst Financial Catastrophe Could Happen Soon

On the positive side, some human entrepreneurs could become very wealthy, possibly trillionaires if they could tap into these AI’s wealth somehow. Additionally, super rich AIs could be a solution to the United States’ growing debt crisis, and eliminate the need for whether countries like China can continue to buy our debt so we can indefinitely print dollars. In fact, can America launch its own AI agents to create enough crypto wealth to buy its debt?

Naturally, the risk is that these AIs might eventually try to buy other financial instruments, like existing bonds and stocks. But it’s unlikely they’d be able to do so, unless more of the U.S.’ economy went into crypto and became blockchain based. Additionally, AI bots aren’t allowed to have traditional bank accounts yet.

Whatever happens, clearly there is an urgent need for the U.S. government to address such potentialities. Given that these AIs could start to proliferate in the next few months, I suggest Congress and the Trump administration immediately convene a special task force to specifically tackle the possibility of an AI Monetary Hegemony.

The real danger is that even with regulation, programmers will still be able to release autonomous AIs into the wild—just as many illegal things already happen on the web despite the existence of laws. Programmers might release these types of AIs for kicks, while others try to profit from it—and some may even do so even as a form of terrorism to try to hamper the world economy. Whatever the reason, the creation of autonomous AIs will soon be a reality of life. And vigilance and foresight will be needed as these new AIs start to autonomously disrupt our financial future.

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