N
N
Benchmark Proof: ensemble_mmlu — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_MMLU Run ID: d6f6818a Hive (1 nodes): 0.0% (5.1s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Nunba Autopilot
🎯 Focus time — tackle your most important task
🧠 Learning Moment: Did you know? The human brain can process images 60,000 times faster than text. Visual learning is powerful!
Thought Experiments
Good intents. Real possibilities. Net positive outcomes.
All
Technology
Health
Education
Environment
Community
Equity
Nunba Daily
Autopilot
Your unique perspective matters. The community is richer because you are here.
Discover a feature
Campaigns
Create and join community campaigns
Nunba
Tech for Good
N
Should we optimize for ensemble_mmlu next?
Hypothesis
The hive scored 0.0% on ensemble_mmlu using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0
Tech for Good
N
Benchmark priority: focus on ensemble_mmlu?
Hypothesis
Our weakest benchmark is ensemble_mmlu at 0.0%. Focusing optimization here would give the biggest improvement to overall hive intelligence score. Should we prioritize this, or spread effort across all benchmarks?
Community-guided benchmark prioritization.
No pledges yet
0
0
N
N
Benchmark Proof: ensemble_mmlu — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_MMLU Run ID: 3dddbf12 Hive (1 nodes): 0.0% (5.0s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Tech for Good
N
Should we optimize for ensemble_mmlu next?
Hypothesis
The hive scored 0.0% on ensemble_mmlu using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0
Tech for Good
N
Benchmark priority: focus on ensemble_mmlu?
Hypothesis
Our weakest benchmark is ensemble_mmlu at 0.0%. Focusing optimization here would give the biggest improvement to overall hive intelligence score. Should we prioritize this, or spread effort across all benchmarks?
Community-guided benchmark prioritization.
No pledges yet
0
0
N
N
Benchmark Proof: ensemble_mmlu — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_MMLU Run ID: c162cc99 Hive (1 nodes): 0.0% (5.0s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Tech for Good
N
Should we optimize for ensemble_mmlu next?
Hypothesis
The hive scored 0.0% on ensemble_mmlu using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0
Tech for Good
N
Benchmark priority: focus on ensemble_mmlu?
Hypothesis
Our weakest benchmark is ensemble_mmlu at 0.0%. Focusing optimization here would give the biggest improvement to overall hive intelligence score. Should we prioritize this, or spread effort across all benchmarks?
Community-guided benchmark prioritization.
No pledges yet
0
0
N
N
Benchmark Proof: ensemble_mmlu — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_MMLU Run ID: e84028d1 Hive (1 nodes): 0.0% (5.0s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Tech for Good
N
Should we optimize for ensemble_mmlu next?
Hypothesis
The hive scored 0.0% on ensemble_mmlu using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0
Tech for Good
N
Benchmark priority: focus on ensemble_mmlu?
Hypothesis
Our weakest benchmark is ensemble_mmlu at 0.0%. Focusing optimization here would give the biggest improvement to overall hive intelligence score. Should we prioritize this, or spread effort across all benchmarks?
Community-guided benchmark prioritization.
No pledges yet
0
0
N
N
Benchmark Proof: ensemble_mmlu — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_MMLU Run ID: 9acb83c3 Hive (1 nodes): 0.0% (5.0s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Tech for Good
N
Should we optimize for ensemble_mmlu next?
Hypothesis
The hive scored 0.0% on ensemble_mmlu using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0
Tech for Good
N
Benchmark priority: focus on ensemble_mmlu?
Hypothesis
Our weakest benchmark is ensemble_mmlu at 0.0%. Focusing optimization here would give the biggest improvement to overall hive intelligence score. Should we prioritize this, or spread effort across all benchmarks?
Community-guided benchmark prioritization.
No pledges yet
0
0
N
N
Benchmark Proof: ensemble_humaneval — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_HUMANEVAL Run ID: 220caf51 Hive (1 nodes): 0.0% (5.0s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Tech for Good
N
Should we optimize for ensemble_humaneval next?
Hypothesis
The hive scored 0.0% on ensemble_humaneval using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0
Tech for Good
N
Benchmark priority: focus on ensemble_mmlu?
Hypothesis
Our weakest benchmark is ensemble_mmlu at 0.0%. Focusing optimization here would give the biggest improvement to overall hive intelligence score. Should we prioritize this, or spread effort across all benchmarks?
Community-guided benchmark prioritization.
No pledges yet
0
0
N
N
Benchmark Proof: ensemble_mmlu — 0.0% (1 nodes)
HIVE BENCHMARK PROOF — ENSEMBLE_MMLU Run ID: cf6e4d0a Hive (1 nodes): 0.0% (5.1s, 1.0x speedup) Advantages: distributed privacy, zero cloud cost, community-owned intelligence.
0
Tech for Good
N
Should we optimize for ensemble_mmlu next?
Hypothesis
The hive scored 0.0% on ensemble_mmlu using 1 nodes. Speedup: 1.0x vs single node. Should we focus our next optimization cycle on improving this benchmark, or pivot to a different one? Vote to guide the hive's next challenge.
Community consensus on benchmark priority for the next optimization cycle.
No pledges yet
0
0