Staring at the project's position in the morning.

CN
段王爷
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2 hours ago

In the morning, I was staring at a project's position, wanting to wait for a pullback to jump in, but then Marc @pmarca followed the project's official Twitter, and it immediately took off, leaving me unable to catch up. I'll wait for a pullback to take a look again.

This project is called FLYBRAIN, and the account is @fruitflydev.

The story starts with a "circuit diagram" drawn by scientists.

Google Research, HHMI Janelia, and other teams collaborated to draw a connectivity map of the male fruit fly's central nervous system: over 166,000 neurons, approximately 125 million synaptic connections, and made the data open. Scientists want to study how the brain receives information and controls behavior with this.

After the on-chain developers saw it, they had a rather wild idea:

Since the circuit diagram exists, can we create a simulation and connect it to a browser?

Thus, FLYBRAIN was born.

According to the project's published data, it built a computational model of about 165,000 neurons and 10.228 million aggregated connection edges from the public graph.

Webpage screenshots are turned into visual input, neurons in the model generate responses, and some outputs are converted into mouse movement and click signals. Relevant code has already been open-sourced. Project source code

This can be understood as the developers giving this neural simulation a pair of simplified eyes and connecting it to a mouse.

Scientists study how it walks.

On-chain developers study how it clicks buttons.

Finally, the system was also connected to the Pons launch platform on Robinhood Chain.

However, there is a crucial detail that must be clarified:

It cannot independently come up with project names, write copy, pick stocks, or decide to issue tokens.

The neural simulation is involved in some mouse control and click timing; text, pairing assets, form filling, and final confirmation are still completed by external parameters and scripts. The project's README also proactively acknowledges these limitations.

So currently, it is more like developers guiding it to practice operating a computer.

There are still several rounds of debugging before the "fruit fly can start a business independently."

So why do I find this narrative interesting?

Because it easily raises a question for outsiders:

What happens when a model built based on the neural connections of real organisms is placed on the internet?

Where will it stop? Will it go in circles repeatedly? How will behavior change with a different interface? After training, can it stably complete actions it couldn't previously?

These things are much more intuitive than "we will build the next generation of intelligent ecology."

The audience doesn't need to understand neuroscience papers to wonder if there has been any new progress today.

It has the potential to turn technical experiments into continuous content.

And $FLYBRAIN adds the on-chain fundraising method to this story.

This token is issued on Robinhood Chain through Pons, with the native pool paired with GOOGL stock tokens. According to the verified cost path in the report, transactions can generate fee revenue for the creators, and the project narrates this income as funding to support the experiment's operation.

Meme provides funding for the experiment, and the experiment provides the next episode for Meme.

This is the most interesting part of the entire narrative.

The narrative is very interesting, and the strength of the platform has been proven, now we just wait for the right opportunity.


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