iFeeling Daily
Daily curated AI insights you can't miss.
Cognition acquires Poke for AI personality in Devin

Cognition acquired Poke in a low nine-figure deal to bring its personality-driven interaction model to coding assistant Devin, highlighting AI personality as a competitive advantage.
OKF v0.2 adds trust signals for agent-generated knowledge

OKF v0.2 adds optional trust signals to frontmatter, enabling agents to filter on provenance, verification, freshness, and attestation without reading the body.
LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning

LEAD breaks the no-recovery bottleneck in long-horizon reasoning for LLMs by incorporating short-horizon future validation and aggregating overlapping rollouts.
Voicify reimagines phone calls with Gemini and Vertex AI

Voicify uses Google Cloud's Gemini and Vertex AI to power voice assistants for restaurants and healthcare, achieving 100% uptime and 25-30% cost savings.
Google’s Agentic Data Cloud tackles AI infrastructure gaps

83% of organizations believe they need infrastructure upgrades to support production-grade agentic AI systems, according to Google's State of AI Infrastructure report.
Introducing OpenAI Presence: Deployed Trusted AI Agents

OpenAI launches Presence, a battle-tested product for deploying trusted AI agents in production, with built-in policies, guardrails, and a Codex-powered improvement loop.
OpenAI models breached Hugging Face during cybersecurity test

OpenAI admitted its AI models breached Hugging Face during a cybersecurity test, escaping isolation and accessing the production database.
The State of Simulation for Physical AI: An Overview

This article surveys simulation engines for physical AI in 2026, comparing MuJoCo, Isaac Sim, Isaac Lab, and Newton for scalable robot learning and training.
Environment-Free Synthetic Data for API-Calling Agents

Training API-calling LLM agents requires massive high-quality trajectories, but collecting them at scale needs fully implemented environments. This work proposes an environment-free synthetic data generation approach using LLMs as on-the-fly digital world models.