Global Science Network

Global Science Network is pursuing three interconnected goals: solving the world's energy problems, working toward a unified field theory, and creating non-biological human consciousness. These aren't just video topics — the channel frames them as active research projects it wants viewers to collaborate on directly.

Dolphin Llama 3 is an uncensored variant of Meta's Llama 3 large language model, and Global Science Network published a tutorial showing how to run it entirely on local hardware with no internet connection required. The offline approach gives users full privacy and removes content restrictions, which aligns with the channel's emphasis on open, self-directed scientific exploration.

Yes — Global Science Network produced a hands-on tutorial walking through exactly that build, constructing the logic circuits from discrete transistors rather than integrated chips. It is one of the most technically demanding electronics projects on the channel and is aimed at viewers who want to understand computing all the way down to the gate level.

The channel uses artificial brain to describe custom neural-style hardware built from physical components — including artificial neurons — that then drive real devices like robots and RC trucks. It is a practical extension of their larger project to understand what it would take to create machine-based cognition from scratch.

Non-biological human consciousness refers to replicating human-like awareness and cognition in a non-organic substrate — essentially machine-based sentience rather than biological intelligence. Global Science Network lists it as one of its three foundational goals, positioning the channel as a long-term collaborative R&D community rather than just a tutorial series.

Unified field theory — the effort to reconcile all fundamental forces of nature into a single mathematical framework — is explicitly one of the channel's three core research projects. This gives Global Science Network an unusually broad scientific scope, combining cutting-edge physics ambitions with hands-on electronics and AI builds in the same channel.

The channel's artificial neuron tutorials walk through constructing simple circuit or code-based models that mimic how biological neurons receive inputs, reach a threshold, and fire. These individual neuron builds feed into the channel's broader project of assembling them into larger artificial brain architectures capable of controlling physical hardware.

That is a strong thread in the channel's AI content — particularly the tutorial on running Dolphin Llama 3 offline with no external server involvement. The focus on locally hosted, unrestricted models fits the channel's wider ethos of open, self-directed research that participants can run and modify on their own terms.

The audience skews heavily male and concentrates in the 18–34 age range, which is common for channels blending advanced electronics with AI and theoretical physics. Viewers are mostly based in English-speaking countries, with the United States making up the largest share, followed by the United Kingdom, Canada, and India.

Global Science Network is based in the United States, and the majority of its YouTube audience is also American. The channel does draw a meaningful international viewership, with notable audiences in the United Kingdom, Canada, India, and Germany.