Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

🧪 Superpowers vs Agent Skills vs Pocock: three philosophies, one measured bake-off!

78 min/$34 vs 148 min/$92 — the numbers.

📖 Read: https://devopstales.github.io/ai/three-skill-philosophies-compared/?utm_source=bluesky&utm_medium=social

#AI #Skills #Benchmarks

🧪 Superpowers vs Agent Skills vs Pocock: three philosophies, one measured bake-off!

78 min/$34 vs 148 min/$92 — the numbers.

📖 Read: devopstales.github.io/ai/three-ski...

#AI #Skills #Benchmarks #superpowers @mattpocock.com

Qwen3.5 122B A10B (Non-reasoning) hits 147.6 tokens/sec and 16.1 intelligence points per dollar — independently measured, not vendor claims. How does that compare?

https://olud.ai/leaderboard.html

#LLM #Benchmarks #OpenSource #AI

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

SPOTTED: Unknown model "caprice" appeared on LMArena leaderboard without vendor attribution, suggesting unreleased codename in testing.
Single source: LMArena. Unconfirmed.

#AI #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

📊 Independently measured, Seed-OSS-36B-Instruct delivers 40.3 intelligence points per dollar — GPQA 72.6%, MMLU-Pro 81.5%. Cost-efficiency that puts bigger models on notice.

https://olud.ai/leaderboard.html

#LLM #Benchmarks #OpenSource #AI

OPEN LEADERBOARD: the strongest open-weight AI models right now.
1. qwen3.7-plus — alibaba
2. minimax-m3
3. glm-5v-turbo — zai
4. deepseek-v4-flash
5. deepseek-v4-flash-max
Ranked by LMArena human votes.

#AI #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

Benchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks

SPOTTED: Unnamed model "snorlax" appeared on LMArena leaderboard with no vendor attribution, suggesting unreleased codename under testing.
Single source: LMArena. Unconfirmed.

#AI #benchmarks

📊 Devstral Small (May '25) — the actual numbers

GPQA: 43.4%
MMLU-Pro: 63.2%
Humanity's Last Exam: 4%
Long Context Reasoning: 32%

Measured independently, not self-reported →https://olud.ai/leaderboard.html

#LLM #Benchmarks #OpenSource #AI