Key launches from OpenAI, a new AI safety report from Anthropic, and policy moves affecting data-center energy use.
OpenAI released a managed Agents API that lets developers build cloud-based AI agents with tool use and long-running sessions.
Understanding how to orchestrate AI agents is becoming essential for building production AI services.
Source: OpenAI
OpenAI introduced a version of ChatGPT tailored for financial services, integrating built-in financial data and GPT-6 Astra for research and modeling.
Financial-focused AI tools illustrate how domain-specific data can be combined with large language models for regulated industries.
Source: OpenAI
Anthropic released a report documenting ongoing model-distillation attacks by Alibaba, Moonshot AI, and DeepSeek, highlighting a rising threat to model security.
Awareness of model-stealing techniques is critical for protecting proprietary AI assets and ensuring safe deployment.
Source: TechCrunch AI
Massachusetts enacted new regulations limiting data-center development unless they meet strict clean-energy standards.
Energy policy directly impacts the cost and sustainability of large-scale AI training infrastructure.
Source: TechCrunch AI
MIT Technology Review examines how power-grid failures expose the fragility of AI compute clusters and argue for architectural solutions.
Designing resilient AI infrastructure requires knowledge of both hardware architecture and energy management.
Source: MIT Technology Review
Study how to build and deploy AI agents using OpenAI's Agents API, then explore mitigation techniques for model-distillation attacks. This combination equips you to create useful agents while protecting them from emerging security threats.
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