TechSambad July 13, 2026: OpenAI introduces ChatGPT Work, a cloud-based AI agent TechSambadCurated AI & Tech IntelligenceJuly 13, 2026 TechSambad July 13, 2026: OpenAI introduces ChatGPT Work, a cloud-based AI agent ⚡ Hot Picks 9 OpenAI introduces ChatGPT Work, a cloud-based AI agent GPT-5.6-powered agent manages tasks across email, Slack, and calendars autonomously — OpenAI's answer to Claude Cowork. [VentureBeat] 🏆 Top Stories 8 Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations Prime Intellect launched verifiers 0.2.0, previewing a rewritten "v1" core under the verifiers.v1 namespace. It splits an environment into a taskset ( 8 Google launches Interactions API GA for Gemini models and agents Primary interface for Gemini models and agents reaches general availability, enabling managed agents and multi-turn interactions. [Google AI Blog] 7 Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes NeuroVFM is a generalist neuroimaging foundation model from the University of Michigan, trained on 5.24M clinical MRI and CT volumes. Its Vol-JEPA bas 7 OpenAI launches GPT-5.6 family (Sol, Terra, Luna) Flagship Sol beats Anthropic's Fable 5 in adaptive reasoning on UC Berkeley's Agents Last Exam; Terra and Luna outperform at 1/16th the cost. US gover 7 DeepSeek slashes API prices 75% amid AI price war DeepSeek cuts API prices by 75% as open-source models intensify competition with frontier labs. [VentureBeat] 📚 Research & Papers 7 CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions arXiv:2607.08774v1 Announce Type: new Abstract: Reliability in large language model (LLM) systems is typically framed as a function of model capabilit 7 GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning arXiv:2607.08894v1 Announce Type: new Abstract: Large Language Model (LLM) agents have shown promise in multi-step planning tasks, but existing approa 7 Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading arXiv:2607.08964v1 Announce Type: new Abstract: AI agents have become capable of autonomously completing short, well-specified tasks. However, existin © 2026 TechSambad — by Subhankar PattanayakDaily AI intelligence for forward-thinking professionals. Sent via AgentMail