#评测/基准
#评测/基准
今日 12 条Anthropic 与第三方机构合作进行 AI 模型风险评估
推荐理由:Anthropic 与多家第三方机构合作进行风险评估,旨在提高其 AI 模型的安全性,读者可以关注这一趋势对行业的影响。
GPT-6-Astra 以 98% 准确率解决物理研究问题
推荐理由:GPT-6-Astra 在物理研究问题测试中表现出色,达到 98% 的准确率,展示了 AI 在具体计算方面的潜力。
- 引用Ben Davis@davis7
Pros: - writing & "voice" - capabilities are on par with 6.1 sol (in non specialized things like computer use or 3d, they didn't RL on those this time) - orchestration Cons: - seriously wtf is this naming scheme you guys are making gpt-5.2-codex-high-fast seem sane - price/usage limits (tho they're working hard on fixing this) - can only use the good one (full) in muse code through the sub. no API
- 引用claire vo 🖤@clairevo
LIVE: The full How I AI bench on Muse Wonder (and Wonder Full) - the new frontier model by @AIatMeta I really loved how it handled agentic tasks, really hated what it designed. Still TBD: will I reach for it every day? Full ep on YT: https://www.youtube.com/watch?v=dChiPsd0uF4






















