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Stelarc on Transhumanism: We Are in a Time of Circulating Flesh!

“We are in a time of circulating flesh.”

Stelarc said that to me 13 years ago. In 2026, it reads less like art criticism and more like a status report.

He had grown an ear on his arm. He had hung himself from hooks 25 times. He had let strangers on the internet choreograph his muscles through electrical stimulation, his body remote-controlled across continents.

Most people called it spectacle. I think it was inquiry.

Because long before deepfakes, before voice cloning, before AI agents wearing our faces, was already asking the question we now cannot avoid:

Where does the body end and the network begin?

Behold the neuron, a complicated cell with a simple mission

Neurons, the uber-connected nerve cells that act as a main switchboard for the brain, are central to some incredibly complicated processes. They make it possible to think, walk, speak, and breathe. They even have built-in backup batteries to use in emergencies.

Yet the way individual neurons go about their business is surprisingly simple, according to a new Yale study.

How simple? Most of them operate entirely like tiny on-off switches.

The Commoditization of Intelligence: Why AI Aggregators Will Beat Foundation Models

Everyone is currently watching the major tech giants throw billions of dollars at the AI arms race, cheering for whichever foundation model happens to top the leaderboards this week.

It is an incredible spectacle to watch unfold, but focusing too closely on the tech itself might mean we are missing the actual business revolution happening right under our noses.

We have seen this exact economic shift before. The biggest winners of the internet era weren’t the ones who built the physical infrastructure or supplied the goods; they were the platforms that organized the supply and owned the user relationship. The same economic laws are now coming for artificial intelligence, actively turning “intelligence” into a basic, interchangeable utility.

The real value moving forward is no longer in the models themselves, but in the seamless interfaces that aggregate them. If you want to protect your business from vendor lock-in and position your team for ultimate flexibility, it is time to rethink your approach.

Read my full blog post to dive into why the future of AI belongs to the aggregators, and how your business can strategically capitalize on this shift.


We spend an enormous amount of time obsessing over the titans of the AI arms race. Every single week seems to bring a breathless new headline about OpenAI, Google, Anthropic, or Meta releasing a foundation model that edges out the competition on some obscure benchmark test. We find ourselves endlessly arguing over parameter counts, context windows, and raw reasoning capabilities, captivated by a multi-billion-dollar war unfolding in real-time.

Deep Dive: The Agentic AI Economy

The Moat: The moat is no longer how smart your AI is; it’s what your AI is allowed to touch. An agent that has “Write Access” to a company’s internal financial system or a medical record database is 100x more valuable than a “smart” chatbot that can only read public websites. Connectivity is the new Intellectual Property.

In the agentic economy, the most valuable human skill isn’t “coding” or “writing”—it is Agentic Orchestration.

The agentic economy thrives on Data Flywheels. As an agent performs a task (e.g., “Review this legal contract”), it gets human feedback (“This clause was too aggressive”). That feedback isn’t just a correction; it’s training data that makes the agent more valuable for the next task. This creates a winner-take-all dynamic for whoever has the most active agents in a specific niche.

We are moving toward an outcome-based economy. However, the real “gold rush” isn’t in building the smartest AI; it’s in building the safest and most connected AI—the one that humans trust enough to give the “keys” to their bank accounts, their calendars, and their businesses.

S02E05 Design Thinking: Enhancing Human Outcomes | Trey Simmons | Wired For Wonder

In this conversation, Lori Kirkland and Trey Simmons from Tamr, explore the transformative impact of AI on the workplace, emphasizing the importance of human-centric design and creativity. They discuss the acceleration of creative processes, the need for prioritization in business, and the shift in mindset required for organizations to thrive in an AI-driven world. The dialogue highlights the significance of collaboration, fluid thinking, and the evolving nature of business assumptions as key elements for future success. In this engaging conversation, Lori Kirkland and Trey Simmons explore essential human skills for the future, the mindset organizations need to adopt for the evolving workplace, and the profound nature of consciousness and reality. They discuss the impact of AI on our understanding of existence and the importance of fostering a culture of love and support in professional environments. The dialogue emphasizes the interconnectedness of humanity and the need for a shift in perspective to embrace change and innovation.

Connect with Trey via / treysimmons.

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DeepHumanX — Empowering Self Leadership in an AI Era.
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You can put a data center at your house—but who really pays?

“The idea, put forward by a California smart utility box company called Span, is to put the GPUs where the power has already been allocated—at the home. Span says the average household uses only about 42% of the electricity allotted to it, and rarely reaches peak usage. Span’s smart utility boxes detect that, and steer the extra available power over to the GPUs, which live inside a ”node” that sits beside the house and looks something like an HVAC unit. The boxes contain 16 Nvidia GPUs, 4 AMD CPUs, 4 terabytes of memory, and a cooling system. When a large number of homes have these, the servers could be connected together in a network and work together on distributed computing jobs (workloads), Span says.

In exchange for hosting a node, Span pays a big chunk of the homeowner’s electricity and broadband internet bills.

And there may even be advantages for putting the compute power closer to the end users that are using the chatbots or AI services, Span says.

It’s a cool idea on paper, but it’s almost completely unproven in real-world use. Span has been prototyping the units but has yet to install any of them beside real homes. I asked Span VP Chris Lander if his company has done technical studies showing that its brand of distributed computing will be fast and robust enough to handle real AI workloads. ‘We’ve done a bunch of technical studies internally [and] a bunch of modeling for different kinds of workloads, both from the business point of view [and] the product point of view and from the technical architecture point of view,’ he replies.


The idea of asking homeowners to host boxes full of GPUs is a symptom of the woeful dearth of data center space needed for AI computing.

A new scientific discovery is challenging long-held assumptions in modern physics, suggesting that the universe may not behave strictly according to established rules

Researchers believe the findings could reshape our understanding of fundamental forces, space, and time.

#universe #cosmos #wion.

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Webinar: Why modern attacks require both security and recovery

Modern cyberattacks are designed to bypass traditional security controls, with phishing and business email compromise campaigns becoming increasingly personalized and difficult to detect.

However, the challenge for MSPs does not end once an attacker gains access. Many organizations lack the recovery planning and backup strategies needed to quickly restore operations after ransomware, SaaS compromise, or destructive attacks.

This webinar will examine where traditional MSP security strategies fall short after initial compromise, and why cyber resilience now depends on combining strong defenses with rapid recovery capabilities.

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