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OpenAI 9 months ago 32 ● 2 sources
Inside GPT-5 for Work explains how GPT-5 is used in business workflows across marketing, engineering, finance, strategy, legal, and IT, and how teams should evaluate it. The guide centers on GPT-5. As a result, it provides a checklist-style way for teams to assess GPT-5 for different job functions rather than treating it as a general tool.
OpenAI 9 months ago 34
OpenAI teams use Codex to understand code, refactor systems, improve performance, and streamline engineering workflows. One focus area is boosting engineering velocity. This changes how developers approach code analysis and refactoring by making those steps part of their workflow.
OpenAI 9 months ago 41
OpenAI has partnered with Cerebras to expand its computing infrastructure for AI inference tasks. The partnership adds 750 megawatts of compute capacity focused on reducing response times for ChatGPT. This infrastructure upgrade enables OpenAI to handle real-time workloads with lower latency for its users.
Sequoia 9 months ago 53
Coding agents and long-horizon agents are portrayed as reaching functional AGI capabilities focused on autonomously figuring things out toward real goals. The article says agents should be able to complete tasks that take human experts a full day by 2028, based on an exponential progress trend doubling about every 7 months. It shifts expectations from short, conversational AI toward all-day agent “doers” that founders can hire and manage, requiring new product, pricing, and feedback-loop approaches.
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TLDRocket
21 October 2026
The biggest AI throughline today wasn’t model quality, it was control. As enterprises push more “autonomous” agents into real workflows, Red Hat and Nvidia expanded their partnership to move security enforcement closer to the infrastructure—adding runtime and infrastructure security controls for AI agents running on Nvidia’s Vera Rubin compute via Red Hat AI Factory with Nvidia. The update brings BlueField-3 support in Red Hat OpenShift 4.22, plus Sentry monitoring that Red Hat says can quarantine a compromised agent in milliseconds. The pitch is familiar—govern access to tools and data—but the specifics matter: model access governance, joint support for Nemotron 3.5 Super VL in vLLM, and enforcement that’s meant to live outside the agent (and, where possible, outside the host OS).
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