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This New AI Is So HUMANLIKE It’s Reaching Proximate CONSCIOUSNESS

A new AI model from Tokyo called the Continuous Thought Machine mimics how the human brain works by thinking in real-time “ticks” instead of layers. Built by Sakana, this brain-inspired AI allows each neuron to decide when it’s done thinking, showing signs of what experts call proximate consciousness. With no fixed depth and a flexible thinking process, it marks a major shift away from traditional Transformer models in artificial intelligence.

🔍 What’s Inside:
Sakana’s brain-like AI thinks in real-time ticks instead of fixed layers.
https://shorturl.at/UPSTt.
Deep Agent’s new MCP connects AI to over 5,000 real-world tools via Zapier.
http://deepagent.abacus.ai.
also visit: http://chatllm.abacus.ai.
Alibaba’s ZEROSEARCH fakes Google results and slashes training costs by 88%
https://www.alizila.com/alibabas-new–… phones run Google’s new Veo 2 model before Pixel even gets access https://shorturl.at/Ki0YP Tencent drops a deepfake engine with shocking face accuracy https://github.com/Tencent/HunyuanCustom Apple uses on-device AI in iOS 19 to predict and extend battery life https://www.theverge.com/news/665249/.… Saudi Arabia launches a \$940B AI empire with support from Musk and Altman https://techcrunch.com/2025/05/12/sau… 🎥 What You’ll See:

  • How Sakana’s AI mimics human neurons and rewrites how machines process thought
  • Why Abacus’ Deep Agent now acts like a fully autonomous digital worker
  • How Alibaba trains top AI models without using live search engines
  • Why Google let Honor debut its video AI before its own users
  • What Tencent’s face-swapping tech means for the future of video generation
  • How iPhones will soon think ahead to save power
  • Why Saudi Arabia’s GPU superpower plan could shake the entire AI industry

📊 Why It Matters: AI is breaking out of the lab—thinking like brains, automating your work, and reshaping global power. From self-regulating neurons to trillion-dollar GPU wars, this is where the future starts. #ai #robotics #consciousai.
Honor phones run Google’s new Veo 2 model before Pixel even gets access.
https://shorturl.at/Ki0YP
Tencent drops a deepfake engine with shocking face accuracy.
https://github.com/Tencent/HunyuanCustom.
Apple uses on-device AI in iOS 19 to predict and extend battery life.
https://www.theverge.com/news/665249/.
Saudi Arabia launches a \$940B AI empire with support from Musk and Altman.
https://techcrunch.com/2025/05/12/sau

🎥 What You’ll See:
How Sakana’s AI mimics human neurons and rewrites how machines process thought.
Why Abacus’ Deep Agent now acts like a fully autonomous digital worker.
How Alibaba trains top AI models without using live search engines.
Why Google let Honor debut its video AI before its own users.
What Tencent’s face-swapping tech means for the future of video generation.
How iPhones will soon think ahead to save power.
Why Saudi Arabia’s GPU superpower plan could shake the entire AI industry.

📊 Why It Matters:
AI is breaking out of the lab—thinking like brains, automating your work, and reshaping global power. From self-regulating neurons to trillion-dollar GPU wars, this is where the future starts.

#ai #robotics #consciousai

1 Comment so far

  1. It’s becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman’s Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first.

    What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990’s and 2000’s. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I’ve encountered is anywhere near as convincing.

    I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there’s lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.

    My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar’s lab at UC Irvine, possibly. Dr. Edelman’s roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461, and here is a video of Jeff Krichmar talking about some of the Darwin automata, https://www.youtube.com/watch?v=J7Uh9phc1Ow

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