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Showing 21–30 of 30 dossiers
ChatGPT Ads is moving from beta inventory toward a global performance-ad stack. OpenAI has expanded self-service buying and says optimized bidding is now the majority of campaigns, while new audience, measurement and workflow controls increase both scale and attribution complexity.
K2 Horizon is notable less for another benchmark claim than for reproducibility: IFM is publishing model weights, architecture, training code, data or construction recipes, evaluation resources and intermediate training material instead of stopping at a final checkpoint.
Product teams can launch a root-cause investigation from an Insights report, an alert or Mixpanel Agent instead of manually trying breakdown after breakdown. The result is operationally useful, but it remains an automated statistical diagnosis rather than proof of causation.
The staged release is complete: GLM-5.3’s public weights and serving artifacts are now available. That makes Z.ai’s coding and cyber-capability claims independently testable while turning the earlier safety delay into a concrete self-hosting and audit decision.
Google has turned its Ads API helper into a reusable agent plugin rather than a standalone project. For developers maintaining ad-tech integrations, the material change is that agent workflows can now ground themselves in current Protobuf schemas and execute validated reporting against real Google Ads accounts instead of relying only on model memory.
Estuary’s new runtime is less about an AI label than a data-correctness problem: the same pipeline is meant to move from millisecond streams to large backfills without exposing downstream systems to partial transactions or requiring separate batch reconciliation.
WebMCP has crossed from a browser experiment into a usable agent integration: ChatGPT’s built-in browser now discovers site tools out of the box, while Chrome exposes the proposed standard through an origin trial. Builders can add structured actions to existing web apps, but the API and security model remain experimental.
Cloudflare Workflows now prices steps and persisted state on paid plans, making workflow structure and retention part of the cost calculation for durable jobs and AI automation.
GitHub Copilot for JetBrains now honors enterprise-managed settings for MCP allowlists, plugin marketplaces, OpenTelemetry routing and bypass/autopilot restrictions, giving security and platform teams enforceable controls across another major IDE family.
GitHub Spark stops being available to existing users on August 31, 2026. Deployed apps are meant to keep running, but owners should export code to a repository now; Spark apps using `llm()` need a separate inference provider because the underlying GitHub Models service retired July 30.