Fuel, not gold — from digital gold to AI fuel

The Bitcoin network consumes about 26 GW of electrical power – more than all Big Tech cloud data centers combined. Annually, this is approximately 150 TWh – comparable to the energy consumption of an entire Argentina (population 46 million). Each of these watts goes into computing SHA-256 hashes – mathematical puzzles that solve no real-world problems.

The only function of SHA-256 in Bitcoin is to prove that the miner expended energy. This is called Proof of Work: “I burned electricity → here’s my hash → I have the right to add a block.” In 15 years, Bitcoin has not produced a single useful computation. Not a single neural network response, not a single scientific calculation, not a single processed transaction (apart from its own). All energy is payment for network security, and nothing more.

The contrast is striking: this energy could train thousands of AI models, process billions of neural network queries, and accelerate scientific research. Instead, 26 GW every second turns into heat, performing meaningless arithmetic operations. It is this gap – between expended energy and zero utility – that makes Proof of Useful Work such an attractive alternative.

Gonka fundamentally rethinks mining: instead of meaningless hashes, the GPU performs real AI inference. Every request to a neural network simultaneously serves a user and confirms a block on the blockchain. This is not "mining + AI on the side" — it's a single process where useful work and consensus are inseparable.

How it works in practice: a user sends a prompt — for example, "write Python code to parse a CSV." The GPU on an ML node generates a response through one of the network's models — say, MiniMax M2.7. This inference (processing the request) is the proof of work. Sprint consensus records the result on the blockchain, and PoC V2 verifies the honesty of the computations through cross-checking. The result: 99% of the network's resources go to useful work (AI inference), 1% to cryptographic security.

This is not a trade-off between security and utility — it's their unification. Bitcoin separates work (hashing) from utility (there is none). Ethereum separates staking (security) from computation (separate). Gonka unifies them: the same computation simultaneously serves a client, confirms a block, and earns GNK for the host. Three functions — one GPU action.

Open competition between miners is the most powerful engine of progress that a market economy has ever created. Over 15 years, Bitcoin went through four generations of hardware, boosting mining energy efficiency 300,000-fold:

• 2009: CPU — ordinary processors, kilohashes per second
• 2010: GPU — graphics cards, megahashes per second (~1,000x gain)
• 2011: FPGA — programmable chips (another ~10x)
• 2013: ASIC — application-specific integrated circuits (another ~30x)

This growth wasn't planned by any company. It happened because thousands of independent miners competed for the reward — each one looking for a way to mine more bitcoin more cheaply. Market competition = the most powerful engine of optimization.

The same mechanism operates in Gonka, but with one fundamental difference. Hosts compete for AI tasks, optimizing: GPU (moving to new generations H100 → H200 → B100), software (optimizing inferenced, model quantization, FP8 inference), network infrastructure (cutting latency, boosting throughput). The difference is that every efficiency gain in Bitcoin makes mining coins cheaper — but doesn't create value. Every gain in Gonka makes AI cheaper for all users — real value for a real market.

Bitcoin proved that a decentralized network can store hundreds of billions of dollars. This is a colossal achievement — a digital asset without a central issuer, which stores value more reliably than many national currencies. But Bitcoin has a fundamental limitation: it stores value, but does not create it. BTC is digital gold: valuable because people believe in its value.

Gonka goes a step further. Every GNK is not faith, but payment for real AI inference: for the work of a neural network, for a response received by a specific user, for a solved problem. When a company pays GNK for code generation — this is a real economic transaction that creates value. GNK is fuel, not gold.

The AI computing market is estimated at over $150 billion and is growing by 30%+ annually. This is not a speculative market for crypto enthusiasts — it is a real economy: companies pay for AI because AI increases productivity, reduces costs, and creates products. GNK is tied to this market through simple mechanics: more AI requests → more demand for GNK → higher fundamental value.

Philosophical conclusion: Bitcoin convinced the world that decentralized networks can be secure. Gonka convinces the world that they can be useful. Storing value (Bitcoin) vs creating value (Gonka) — this is the difference between digital gold and digital fuel. Both are needed. But the fuel market has always been larger than the gold market.