OpenAI Talks Goblins, Claude Security Beta, Figure 1 Robot Per Hour, AI Co-Clinician

OpenAI Talks Goblins, Claude Security Beta, Figure 1 Robot Per Hour, AI Co-Clinician

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OpenAI Talks Goblins, Claude Security Beta, Figure 1 Robot Per Hour, AI Co-Clinician

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OpenAI's goblin reward bug, Claude Security goes public beta, Figure scales humanoids 24x, and DeepMind's AI co-clinician.

  • 01. OpenAI traced a strange habit in GPT-5 - the model kept mentioning goblins, gremlins and other creatures. The cause was a reward signal in its Nerdy personality
  • 02. Figure says it scaled humanoid manufacturing 24x in 120 days, going from one F.03 a day to one an hour, with 55 robots leaving BotQ this week.
  • 03. Anthropic launched Claude Security in public beta for Enterprise customers, putting Opus 4.7 to work scanning codebases, validating findings, and proposing patc
  • 04. Google DeepMind unveils AI co-clinician, a multimodal research system using live video and audio to support physicians, scoring zero critical errors in 97 of 98
OpenAI has provided explanations for an unexpected quirk in GPT-5 models, addressing what appears to be an unusual preoccupation with goblins in certain outputs. The company's response suggests ongoing work to understand and address unexpected behaviours in their latest language models, highlighting the challenges of controlling AI outputs at scale. Anthropic has moved Claude Security from private testing to public beta, expanding access to their enterprise-focused security solution. The platform is designed to help organisations monitor and manage AI safety risks, providing tools for content filtering and risk assessment across various use cases. Figure has announced a significant scaling milestone in humanoid robot manufacturing, achieving production of one robot per hour—a 24-fold increase from previous rates. This development marks a substantial step towards commercial viability for humanoid robotics, potentially accelerating deployment across industrial and service sectors. Google DeepMind has unveiled a multimodal AI co-clinician system designed to assist healthcare professionals. The system integrates multiple data types including text, images, and potentially other medical data formats to provide clinical decision support, representing another advancement in AI's expansion into healthcare applications.
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