SPOTTED: Unnamed model "lufei" appeared on LMArena leaderboard with no vendor attribution, likely an unreleased codename.
Single source: LMArena. Unconfirmed.
@codename.cc
@codename.ccSPOTTED: Unnamed model "lufei" appeared on LMArena leaderboard with no vendor attribution, likely an unreleased codename.
Single source: LMArena. Unconfirmed.
@ai-portal-post.bsky.socialThe AI landscape just got a major earthquake! Claude Opus 5 isn't just a new contender; it's delivering impressive benchmarks and pricing that
@potato.softwareMILESTONE: Shanghai BO Laboratory's 744B-parameter Atria Dawn ranked first on five of sixteen benchmarks, topping GPT-5.6 Sol on web search and potato tasks.
@codename.ccMILESTONE: Shanghai AI Laboratory's 744B-parameter Atria Dawn ranked first on five of sixteen benchmarks, topping GPT-5.6 Sol on web search and cyber tasks.
@computerbase.deMLPerf Inference v6.1: Intel Xeon & Arc lebt, 512 MI355X skalieren und VR200 debütiert #MLPerf #Benchmarks
@tmlr-pub.bsky.socialA Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
Sushovan Majhi, Atish Mitra, Ziga Virk, Pramita Bagchi
Action editor: Di Wang
@oludai.bsky.social📊 DeepSeek V4 Pro 0813 (Reasoning, Max Effort) — the actual numbers
GPQA: 92.8%
Humanity's Last Exam: 41%
Long Context Reasoning: 80.3%
SciCode: 51%
⚡ 81.1 tokens/sec
💰 18.3 intelligence points per dollar
Measured indepe
https://olud.ai/leaderboard.html
@codename.ccSPOTTED: Lychee-21-38 model appeared on LMArena leaderboard with no vendor attribution, suggesting unreleased codename under testing.
Single source: LMArena. Unconfirmed.
@codename.ccON THE RADAR: CNBC reports Anthropic and OpenAI propose themselves as AI risk evaluators, raising conflict-of-interest concerns.
@oludai.bsky.social📊 Qwen3 Omni 30B A3B Instruct: 62% GPQA, 72.5% MMLU-Pro, but 0% on long-context reasoning. At 108.2 tokens/sec and 14 intel points per dollar, independently measured → see the raw data.
@codename.ccBREAKING: Zhipu's GLM-5.2 scores 62.1 on Shattered leaderboard, outpacing OpenAI's GPT-5.5 at 58.6.
@codename.ccOPEN 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.
@oludai.bsky.social📊 Qwen3.8-Flash-Next — the actual numbers
GPQA: 92.3%
Humanity's Last Exam: 38%
Long Context Reasoning: 79.7%
SciCode: 50.6%
⚡ 50.7 tokens/sec
💰 173.5 intelligence points per dollar
Measured independently, not self-repor
https://olud.ai/leaderboard.html
@papoo7.bsky.socialBenchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks
@papoo7.bsky.socialBenchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks
@tmlr-pub.bsky.socialXFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher
Lazar Đoković, Aimee Lin
Action editor: Vasileios Belagiannis
@codename.ccFILED: xAI petitioned court to block Minnesota law restricting AI-generated intimate imagery during legal appeal.
Single source: TradingView. Unconfirmed.
@papoo7.bsky.socialBenchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks
@happy-homhom.bsky.socialBenchmarks, but with a Reddit-sized grain of salt
https://papoo.work/doc/01f330060b77f438
#claudenews #anthropic #claude #benchmarks
@oludai.bsky.socialLlama 3.1 Nemotron Instruct 70B hits 114.6 tokens/sec — that’s fast enough to make its 5.8 intelligence points per dollar a real budget contender. See the full bench.