Getty Images Enters Into Content Deal With OpenAI

OpenAI Daybreak connects Codex Security, GPT 5.5 Cyber, and Patch the Planet to help teams find, test, and fix software flaws faster.

Omio integrates OpenAI models across its engineering operations to accelerate travel product development and launch booking interfaces. The multimodal travel platform coordinates operations with over 3,000 transportation providers across 47 countries. Omio explicitly rejects the superficial addition of technology to outdated internal processes. The company’s CTO, Tomas Vocetka, requires all internal functions to completely redesign […] The post Omio scales travel product development using OpenAI models appeared first on AI News.

Anthropic pre-IPO futures have fallen as much as 9% since their Coinbase debut, with contracts on both Coinbase and Binance sliding to new lows despite fresh attention from traders. As reported by crypto.news, Coinbase added Anthropic and OpenAI pre-IPO perpetual…

Coinbase pre-IPO perpetuals now offer SpaceX exposure, with OpenAI and Anthropic next. The access is real; the pricing problem is too.

OpenAI has launched a program with cybersecurity firm Trail of Bits to use AI to find and fix vulnerabilities in widely used open-source software, as enterprises face growing risks from flaws buried deep in their software supply chains. The initiative, called Patch the Planet, uses AI-assisted vulnerability research alongside human review to help turn security findings into tested fixes that can be disclosed through existing project channels. Initial participants include Python, Go, cURL, Sigstore, NATS Server, aiohttp, freenginx, pyca/cryptography, and python.org. These projects support software development, networking, cryptography, and supply chain infrastructure used across a wide range of enterprise applications and services. OpenAI said each engagement will begin with consultation with maintainers to identify where security support is most needed. Researchers will then investigate potential vulnerabilities, validate meaningful issues, develop or refine patches, support testing, a

In the past year, the enterprise AI ecosystem has gained enormous capability and zero consensus. Developers now have a remarkable set of tools for building AI agents: OpenAI’s frameworks, Anthropic’s Claude tooling, LangChain, LangGraph, CrewAI, Microsoft AutoGen, and a growing list of alternatives. Each promises to coordinate reasoning loops, manage multi-step task execution, and connect agents to tools and APIs. For experimentation, the progress has been substantial. Teams can now assemble sophisticated agent workflows in days that would have taken months two years ago. But I’ve watched this pattern before. In over two decades of building and selling distributed systems platforms, I’ve seen the same dynamic play out across nearly every major infrastructure shift: the tools for consuming a new capability arrive before the infrastructure for governing it does. The gap that emerges isn’t immediately obvious in development environments. It becomes obvious in production. That’s exactly wh

The scrutiny of Altman's investments could impact OpenAI's IPO, raising concerns about governance and potential conflicts of interest. The post OpenAI faces scrutiny over Sam Altman’s investment ties ahead of IPO appeared first on Crypto Briefing.

We build a practical GLM-5.2 workflow using its hosted, OpenAI-compatible API instead of running the model locally. We set up multiple providers, load the API key securely, and create a reusable chat wrapper. We then test thinking-effort control, streamed reasoning, function calling, a tool-using agent, structured JSON output, and long-context retrieval. We close with token and cost accounting so every demo stays measurable. The post GLM-5.2 OpenAI-Compatible API: A Hands-On Guide to Reasoning Effort, Function Calling, and Long-Context Retrieval appeared first on MarkTechPost.