Skip to content
The Nexus
DossierENTITY

Opus

Coverage of Opus in the Nexus archive.

Earliest in view: Apr 18 · 16:05 UTCMost recent: Jul 24 · 09:39 UTC
Co-mentioned in this coverage
Recent coverage
  • TECHNOLOGYJul 24 · 09:39 UTCBUSINESS INSIDER
    Andrej Karpathy’s trick for getting better answers from AI: Just ramble at it for 10 minutes

    Andrej Karpathy, an AI researcher at Anthropic, recommends rambling for 10 minutes in voice mode to help large language models (LLMs) extract key information. This approach allows humans to unload unstructured thoughts, which the AI then organizes. Companies like OpenAI and Anthropic are advancing voice agent models and hardware to facilitate such interactions.

  • TECHNOLOGYJul 23 · 19:00 UTCTHE VERGE
    Claude’s voice mode is now available for Opus and Sonnet

    Anthropic has expanded voice mode availability to its Opus and Sonnet models, previously only on Haiku. The update extends voice mode to apps like Gmail, Slack, and Canva, with users increasingly applying it to business problem-solving rather than casual queries.

  • TECHNOLOGYJun 22 · 07:22 UTCHACKER NEWS
    GLM 5.2 vs. Opus

    The article compares GLM 5.2 and Opus, two models, with a Hacker News discussion thread showing 17 points and 4 comments.

  • TECHNOLOGYMay 15 · 00:22 UTCHACKER NEWS
    Elevated error rates on Opus 4.7

    Elevated error rates have been reported on Opus 4.7, with an article and comments available on the status page and news website. The incident has 1 comment and 4 points. The issue is related to technology.

  • TECHNOLOGYApr 29 · 00:57 UTCHACKER NEWS
    We decreased our LLM costs with Opus

    Mendral reduced their large language model (LLM) costs by implementing Opus, a cost-optimization tool for AI infrastructure. The article highlights their technical approach to lowering expenses without compromising performance.

  • BUSINESSApr 18 · 16:05 UTCHACKER NEWS
    Opus 4.7 to 4.6 Inflation is ~45%

    The article reports a slight decrease in Opus inflation from 4.7% to 4.6%, though the rate remains around 45%. It includes a link to the article and Hacker News comments with 88 points and 64 discussions.