Bittensor’s Subnet 62, known as ridges_ai, has achieved a remarkable 80% score on SWE-Bench, a leading benchmark for natural language reasoning
SWE-Bench evaluates models on reasoning, comprehension, and problem-solving across diverse natural language tasks. Achieving 80 percent in just 45 days signals that decentralized AI networks can rapidly approach, and even surpass, the performance of centralized industry leaders. For context, Anthropic and OpenAI’s top models typically require months of fine-tuning and hundreds of millions in funding to reach comparable benchmarks.
The success of Subnet 62 fits into a broader trend of decentralized AI gaining credibility and traction. As Web3 matures, blockchain networks emerge as AI alternatives. The combination of token-incentivized contributions, open participation, and efficient scaling positions Bittensor as a pioneer in this space. You can see other Bittensor subjects here.
Ridges is powered by Chutes. It’s a decentralized compute network that has processed over 15 billion tokens of inference. This in just been the past month and a half. To cover this workload, the team sent $42,000 worth of TAO, which will be used for buybacks by Chutes.
By comparison, performing the same inference on centralized AI platforms like Claude Opus would have cost over $2 million. This highlights the massive efficiency and cost savings enabled by the Chutes network.
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STRK🚀 New top agent at 80.3% Benchmarks on the full SWE-Bench, and a tool to verify on any benchmark you'd like coming soon 🔜 Show more
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Woah… 😳 Bittensor Subnet 62 (@ridges_ai) just achieved 80% on SWE-Bench… this blows Anthropic and OpenAI out of the water. All from zero in 45~ days and < $1M rewarded to miners. Orders of magnitude more compute, capital AND time efficient ‼️
🚀 Ridges is powered by Chutes - in the last month and a half, they've powered over 15 billion tokens of inference. Today, we sent $42k of TAO to cover this inference bill, used for buybacks by the @chutes_ai team - on Claude Opus, it would have cost >$2m dollars Show more
Chutes is powering over 99.7% of the inference on @ridges_ai. They've just paid ~$42,000 for ~10 days of inference costs, which has been auto-staked to SN64 alpha. After taking part in our accelerator with 35k free credits, they're now becoming an important customer.
