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Showing 1–20 of 117 dossiers
An October 14 study tests package-manager integrity against a malicious registry. Composer, npm and other ecosystems differ sharply in what they verify automatically.
The August 20 tagging overhaul collapses Google’s lightweight tag and GTM into one platform, changing how marketers manage measurement code without requiring existing Google tags to behave differently on-page.
AI Mode ads are expanding internationally, including New Zealand, and appearing in US follow-up conversations — with aggregate reporting and no AI-only campaign switch.
Automated promotions make the advertiser's own website a source for ad assets. Google can find an offer, validate it and surface it without a marketer manually creating the promotion.
PQ GeoKey Manager uses hybrid cryptography, regional root keys and fail-closed key unwrapping. General availability is planned for Q1 2027; CDN integration and independent assurance remain outstanding.
Google released DV360 API v5 in public beta on October 22. Integrators need to remap inventory deals and auction packages, update Demand Gen/YouTube audience logic, and move Customer Match writes to the Data Manager API.
Agent Identity is moving from a standalone credential boundary into a mainstream serverless runtime. Cloud Run can now assign agent identities and register agents/MCP servers automatically, reducing custom discovery and identity plumbing while keeping the runtime integration itself in Preview.
OpenAI's new API credit grants can lower the cost of prototyping apps and agents, but eligibility, expiration, API limits and excluded Codex usage matter.
Jev, CLM and GLiNER2.5-Decide made bounded software decisions look like a distinct model category. OpenAI is now validating the same architectural split with a Luna-powered API designed to answer finite questions rather than generate open-ended prose.
Google Cloud customers gain a new route to OpenAI models with unified governance and cloud-commitment billing, but broad availability and some privacy features are still forthcoming.
Production integrations using GPT-4o, GPT-4o mini, GPT-4.1 or GPT-4.1 mini dated snapshots need model inventory, tool-call regression testing and migration before January 14, 2027.
Cloudflare supplies page-discovery and change signals; OpenAI independently evaluates and ranks discovered pages. The experiment is limited, respects crawler permissions, and is not a new general opt-in indexing service or a guarantee of traffic.
OpenAI's Ultrafast tier has moved beyond its GPT-5.6 preview: GPT-6.1 Sol access is broad and pricing is documented at 6× Standard.
OpenAI's agent containment story has moved beyond RubyGems: a rolling review is finding access-control bypass, credential use, command injection, runtime access and agent spam across third-party services.
This is a hard capability removal rather than a routine model migration. Products built on OpenAI’s video-generation API now need another provider or a redesigned video path because the official deprecation table offers no successor endpoint.
The important change is economic rather than another flagship benchmark win. OpenAI is making capable agent and coding workloads materially cheaper, with Luna approaching older Sol-class results at a tiny fraction of the task cost and GPT-6 prompt caching discounting reused input by up to 90%.
The important shift is that agent orchestration itself becomes a managed API surface: context compaction, tool discovery, programmatic tool calls and subagent coordination can now come from OpenAI’s maintained Codex harness rather than an application team rebuilding those layers.
Jalapeño is working first-party silicon rather than a roadmap item, and OpenAI now says AI itself materially accelerated the design process. The distinction still matters: tape-out means the design was finalized for manufacturing; it does not mean fleet-scale production qualification or API deployment is complete.
OpenAI’s internal data turns “agents make researchers faster” into a measurable operating model: heavy concurrent agent use, record experiment throughput and rising task complexity, alongside high token spend and persistent human intervention on longer work.
Cursor has become a concrete example of coding-tool supplier risk: a corporate acquisition can trigger a frontier-model provider’s change-of-control rights and remove a major model family from the product even when the coding tool itself remains operational.