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AGI Unbound with Joscha Bach: Consciousness and the future of Intelligence

AGI Unbound Series.

A series of focused interviews with the most interesting and impactful thought leaders in the field. We press on first principles—how they define core ideas in their domain, how they see the present, and where they believe intelligence is headed. Brought to you by SingularityNET and the AGI Society.

About this interview — Joscha Bach.
In this kickoff episode, cognitive scientist Joscha Bach explores consciousness as a coherence-forming learning process, argues for a computational view of mind, and outlines why machine consciousness should be treated as a testable hypothesis rather than a slogan. He discusses the California Institute for Machine Consciousness, contrasts today’s “idiot-savant” AI with developmental intelligence, sketches futures from universal basic intelligence to post-human infospheres, and offers frank advice to new researchers on pursuing bold, technically grounded work.

#AGI #AI #Consciousness #SingularityNET #AGISociety #JoschaBach #DecentralizedAGI

SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

The SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts, and entertainment.

Rise of the robots: The promise of physical AI

A pair of swiveling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician.

With enough practice, arms like these can complete everyday tasks alone, says Tokyo company Enactic, which is developing humanoid robots to wash dishes and do laundry in short-staffed Japanese .

Welcome to the future of AI as it starts to infiltrate the material world in the form of smart robots, self-driving cars and other autonomous machines.

AI-powered LED system delivers stable wireless power for indoor IoT devices

The world’s first automatic and adaptive, dual-mode light-emitting diode (LED)-based optical wireless power transmission system, that operates seamlessly under both dark and bright lighting conditions, has been developed by scientists at Science Tokyo. The system, along with artificial intelligence-powered image recognition, can efficiently power multiple devices in order without interruption. Because it is LED-based, it offers a low-cost and safe solution ideal for building sustainable indoor Internet of Things infrastructure.

With the rapid development of Internet of Things (IoT), the demand for efficient and flexible power solutions is also increasing. Traditional power delivery methods, such as batteries and cable connections, have many drawbacks. Batteries need frequent charging and replacement, while cables restrict device mobility.

Optical wireless power transmission (OWPT) is an emerging technology that can address these limitations. In OWPT, energy is transmitted through , without physical wires, by converting electricity to light, transmitting it, and then reconverting light back into using photovoltaic (PV) receivers.

AI math genius delivers 100% accurate results

At the 2024 International Mathematical Olympiad (IMO), one competitor did so well that it would have been awarded the Silver Prize, except for one thing: it was an AI system. This was the first time AI had achieved a medal-level performance in the competition’s history. In a paper published in the journal Nature, researchers detail the technology behind this remarkable achievement.

The AI is AlphaProof, a sophisticated program developed by Google DeepMind that learns to solve complex mathematical problems. The achievement at the IMO was impressive enough, but what really makes AlphaProof special is its ability to find and correct errors. While (LLMs) can solve , they often can’t guarantee the accuracy of their solutions. There may be hidden flaws in their reasoning.

AlphaProof is different because its answers are always 100% correct. That’s because it uses a specialized software environment called Lean (originally developed by Microsoft Research) that acts like a strict teacher verifying every logical step. This means the computer itself verifies answers, so its conclusions are trustworthy.

Nature-inspired navigation system helps robots traverse complex environments without GPS

Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations and various other real-world tasks. To do this, however, they should be able to smoothly navigate unknown and complex environments without breaking down or getting stuck, which would require human intervention.

Most autonomous navigation systems rely on global positioning systems (GPS), which can provide information about where a robot is located within a map. In many environments, however, including caves, unstructured spaces and collapsed buildings, GPS systems either do not work or become unreliable.

Researchers at Beijing Institute of Technology recently developed a new nature-inspired system that could improve robot navigation in unstructured and complex environments, without relying on GPS technology. Their proposed framework— outlined in a paper set to be published in Cell Press and currently available on the SSRN preprint server—is inspired by three distinct biological navigation strategies observed in insects, birds and rodents.

Anthropic claims of Claude AI-automated cyberattacks met with doubt

Anthropic reports that a Chinese state-sponsored threat group, tracked as GTG-1002, carried out a cyber-espionage operation that was largely automated through the abuse of the company’s Claude Code AI model.

However, Anthropic’s claims immediately sparked widespread skepticism, with security researchers and AI practitioners calling the report “made up” or the company of overstating the incident.

“I agree with Jeremy Kirk’s assessment of the Anthropic’s GenAI report. It’s odd. Their prior one was, too,” cybersecurity expert Kevin Beaumont posted on Mastodon.

Magnetically Guided Microrobots Deliver Drugs with Pinpoint Accuracy

After numerous successful trials in the model, the team sought to demonstrate what the microrobot could achieve under real clinical conditions. First, they were able to demonstrate in pigs that all three navigation methods worked and that the microrobot remains clearly visible throughout the entire procedure. The investigators then navigated microrobots through the cerebral fluid of a sheep.

“This complex anatomical environment has enormous potential for further therapeutic interventions, which is why we were so excited that the microrobot was able to find its way in this environment too,” Landers noted. “In vivo experiments conducted with an ovine model demonstrated the platform’s ability to operate within anatomically constrained regions of the central nervous system,” the investigators stated in their paper. “Furthermore, in a porcine model, all locomotion strategies were validated under clinical conditions, confirming precise microrobot navigation within the cerebrovascular system and highlighting the system’s compatibility with versatile in vivo environments.”

In addition to treating thrombosis, these new microrobots could also be used for localized infections or tumors. At every stage of development, the research team has remained focused on their goal, which is to ensure that everything they create is ready for use in operating theaters as soon as possible. The next goal is to look at human clinical trials. “The use of materials that have been FDA approved for other intravascular applications, coupled with the modular design of the robotic platform, should simplify translation and adaptability to a range of clinical workflows,” the authors concluded. Speaking about what motivates the whole team, Landers said, “Doctors are already doing an incredible job in hospitals. What drives us is the knowledge that we have a technology that enables us to help patients faster and more effectively and to give them new hope through innovative therapies.”

The Next Superintelligence Will Not Just Think. It Will Bleed

Biology needs the same kind of substrate. Without it, we are still guessing. With it, discovery starts to look predictable by design.

Drug development still leans on animal models and small patient cohorts to make billion-dollar bets. Those proxies teach us something, but they do not teach how a molecule behaves across the complexity of human biology. That is why nine out of ten drugs that succeed in animals fail in human clinical trials.

Biology needs an environment that gives intelligence the same systematic feedback that data centers gave to computation. That is what biological data centers provide. Robotic systems that sustain tens of thousands of standardized human tissues at once. Tissues that are vascularized and immune competent, clinically indistinguishable from patient biopsies under blinded review. Tissues that can be dosed, that bleed, that heal.

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