First AI (1951)

$0.00000855

-$0.0000003

-3.4%

• Today

Info

Symbol

SNARC

Network

Solana

Market Cap

$8.72K

Total Supply

998.81M

Circulating Supply

998.81M

Max Supply

1B

Holders

617

Volume (24h)

$3.1054

-77.91%

Trades (24h)

1

-50.00%

Traders (24h)

1

-66.67%

About

SNARC (Stochastic Neural Analog Reinforcement Computer), created in 1951 by Marvin Minsky and Dean Edmonds, is often called the “grandfather” of AI. It was the first computer to mimic brain-like learning, marking the beginning of neural network technology. This groundbreaking invention sparked revolutionary ideas about machines thinking like humans and laid the foundation for advanced AI models like ChatGPT and Grok. SNARC ignited the journey toward today’s intelligent AI systems, proving that what once seemed humanly impossible could become reality.

Website

FAQ

The market capitalization of SNARC is $8.72K as of May 13, 2025.

Market capitalization is calculated by multiplying the current price of SNARC by its circulating supply. It reflects the overall value of the token in the market and helps gauge its relative size compared to other cryptocurrencies.

The daily trading volume of SNARC is $3.1054 as of May 13, 2025.

Trading volume can fluctuate based on market conditions, investor activity, and overall demand for SNARC.

The total supply of SNARC is 998.81M.

The circulating supply, which represents the number of SNARC currently available in the market, is 998.81M as of May 13, 2025.

This token has a maximum supply of 1B, meaning no more tokens will be created beyond this limit.

SNARC can be bought and traded on a variety of cryptocurrency platforms, including Phantom!

Pricing information is provided for informational purposes only and is not financial advice. Market data is provided by third parties and Phantom makes no representation as to the accuracy of the information.

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Pricing information is provided for informational purposes only and is not financial advice. Market data is provided by third parties and Phantom makes no representation as to the accuracy of the information.