Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up.
OpenAI has shipped a Chrome extension for Codex, its AI coding agent, enabling it to complete browser-based tasks directly inside Google Chrome on macOS and Windows — including interacting with signed-in websites, using Chrome DevTools, and running multi-step workflows across browser tabs.
The post OpenAI Adds Chrome Extension to Codex, Letting Its AI Agent Access LinkedIn, Salesforce, Gmail, and Internal Tools via Signed-In Sessions appeared first on MarkTechPost.
How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.
How hook implementation gives Claude Code, Codex, and Cursor persistent memory via Neo4j, without locking you into any one of them.
The post Unified Agentic Memory Across Harnesses Using Hooks appeared first on Towards Data Science.
OpenAI has introduced a Trusted Contact feature for ChatGPT that allows users to designate a friend or family member to receive automated alerts if conversations suggest self-harm risk. The company said human reviewers aim to assess safety notifications within one hour before deciding whether to contact the designated person via email, text, or in-app message. […]
Journalist Jamie Bartlett on the people trying to get AI to say things it shouldn’t … for the safety of us all
All the major AI chatbots – from ChatGPT to Gemini to Grok to Claude – have things they should and shouldn’t say.
Hate speech, criminal material, exploitation of vulnerable users – all of this is content that the most successful large language models in the world shouldn’t produce, that their safety features should guard against.
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Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale from developer tools to infrastructure powering software development at large, the underlying inference engines serving those requests are under increasing strain. The LightSeek Foundation researchers have released TokenSpeed, an […]
The post LightSeek Foundation Releases TokenSpeed, an Open-Source LLM Inference Engine Targeting TensorRT-LLM-Level Performance for Agentic Workloads appeared first on MarkTechPost.
