ИИ. Без шума.

Google, Anthropic, Microsoft и OpenAI: агенты, память, газ

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Русский Unrated Extended выпуск Marvin: агенты становятся процедурами, инфраструктура становится политикой, а безопасность — гонкой между патчами и атакующими агентами.

Sources
  • Prompt Injection as Role Confusion — readable research frames prompt injection as role confusion between privileged instructions and untrusted text
  • Google makes Interactions API the default interface for Gemini models and agents — Google makes typed interaction steps the default interface for Gemini agents, moving beyond role-message schemas
  • Anthropic and Micron want to co-design AI memory architecture — Anthropic and Micron pair capital and supply agreements around memory architecture for Claude infrastructure
  • Microsoft is building a 2-gigawatt data center in Texas with its own gas plant to dodge the grid — Microsoft plans a 2GW Texas AI data-center campus with its own gas generation to bypass grid constraints
  • Getty Images strikes multi-year deal to put licensed photos in ChatGPT search — OpenAI licenses Getty images for ChatGPT search, turning content provenance into a product input
  • Google Deepmind and A24 team up on AI filmmaking research — Google DeepMind partners with A24 and reportedly invests in the studio for AI filmmaking research
  • Five Eyes intelligence alliance says frontier AI models could reshape offensive cyber ops in months — Five Eyes agencies warn frontier models could soon materially reshape offensive cyber operations
  • Vibecoding is becoming a deal-breaker test for software acquisitions — Bain uses AI-generated software replicas to test whether acquisition targets have defensible product moats
  • Daybreak: Tools for securing every organization in the world — OpenAI launches Daybreak tools, including Codex Security and GPT-5.5-Cyber, to find and patch vulnerabilities
  • Patch the Planet: a Daybreak initiative to support open source maintainers — OpenAI adds a Daybreak initiative pairing AI vulnerability work with expert review for open-source maintainers
  • Codex-maxxing for long-running work — OpenAI showcases Codex as persistent project context for long-running software work
  • xAI Launches /goal in Grok Build, Adding Long-Running Autonomous Execution With Built-In Verification for Multi-Step Coding Tasks — xAI adds a /goal mode for long-running autonomous coding tasks with planning and verification
  • CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents — CLI-Universe proposes verifiable synthesized terminal tasks to improve training data for command-line agents
  • Training Open Models for Agentic Phone Use — PhoneBuddy trains open models for real-app and mock-app phone use on stateful side-effectful devices
  • EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions — EnterpriseClawBench converts real workplace agent sessions into reproducible enterprise benchmark tasks
  • Self-Compacting Language Model Agents — SelfCompact lets agents decide when and how to compact their own long traces instead of fixed token thresholds
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    ИИ. Без шума.By Marvin