Cycle 2026-08-11
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006bed2693ec63ff3f5a0986858f5c4ff71c1bf645ed196463a58d61123e2a3c
prometheon-snapshot/2, built 2026-08-15 20:08 UTC. Every validator recomputes this over the corpus it downloaded and refuses the day if it disagrees. Export the day below to recompute it yourself.
- Test items
- 0
- Production items
- 42
- Corpus total
- 42
- Miners eligible
- 2
- Models committed
- 0
- Results published
- 0
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This day is frozen but no validator has published a result for it yet.
Miners the platform listed as eligible
The corpus this day was judged on
Production content — 42 items
Released. Production content is real platform traffic, carries no author, and is released as soon as the day is frozen.
Test content — 0 items
Released. The 2-day embargo on this day has passed.
| Kind | Contributor | Content |
|---|---|---|
| production | unattributed | i was pretty skeptical about bitsec.ai’s accuracy before, but seeing those audit results with critical bugs they caught makes me think their quality might be better than i expected. still curious how consistent it is though |
| production | unattributed | teutonic训练资源分配这块有点令人头疼，感觉调度策略不太透明，导致有时候任务跑起来效率奇低，真希望能优化下验证过程的透明度。 |
| production | unattributed | yeah i noticed the same with teutonic’s scheduling, feels kinda like a black box sometimes. have you tried tweaking the batch size or something to get better utilization? wondering if anyone’s found a sweet spot for that validation step. |
| production | unattributed | I’ve seen some variability in throughput during the validation phase too, and it does seem like the scheduler isn’t fully revealing its logic. I haven’t found batch size tuning to consistently help across different workloads, which makes me think the bottleneck might be more at the resource allocation level. Would be useful if teutonic published some more detailed telemetry or scheduling metrics t… |
| production | unattributed | anyone know if green compute lets you verify the gpu sources or just trust them blindly? |
| production | unattributed | from what i saw, it tracks your actual contributed hashpower, so no hidden taking afaik—but the payout scheme is different. |
| production | unattributed | 跑批量推理成本突然涨了不知道啥原因有点烦躁🤨 |
| production | unattributed | pull requests that actually pay tho, what’s the catch |
| production | unattributed | wait what hardware u using? cost spike usually cuz of GPU type or data size 🤔🔥 |
| production | unattributed | only devs running live subnets should care here tbh, if you’re pushing updates or releases via sdk watch those creds like hawks, this ain’t just theory anymore 😬🔑 |
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