iFeeling Daily
Daily curated AI insights you can't miss.
How Anthropic’s economists are tracking AI’s real economic impact with data
Anthropic’s Economic Research team provides the missing empirical foundation for debates about AI and the economy. The flagship Economic Index measures how Claude is actually used across sectors, and studies like the 81,000-person survey and the 100,000-conversation productivity analysis give concrete data on adoption, labor displacement, and task efficiency.
Mellum2: JetBrains’ 12B MoE Model for Efficient Code and Text
JetBrains' Mellum2 is a focused, efficient MoE model for latency-sensitive tasks in AI systems. It offers 2x faster inference than similar-sized models, making it a practical choice for routing, RAG, and agent subtasks without relying on the largest models.
How Google SRE is using agentic AI to improve operations
Google SRE is deploying agentic AI across the entire software lifecycle—from reliability design to incident management—using Gemini and a transparent governance model to handle growing system complexity without sacrificing control. The approach emphasizes explainability, strong agent identity, and backup plans over black-box automation.
Chinese-Language PhaaS: Real-Time Interception and Digital Wallet Exploitation
Chinese-language PhaaS operators have moved from static password harvesting to real-time interception of OTPs and digital wallet tokenization, enabling direct financial control. Using encrypted channels like RCS and iMessage, along with AI-generated pages, they bypass traditional defenses. Defenders must adopt FIDO2/WebAuthn and risk-based verification during wallet provisioning.
Shared ASP.NET Machine Keys Enable RCE in KnowledgeDeliver LMS
Mandiant details how hardcoded ASP.NET machine keys in KnowledgeDeliver LMS allowed unauthenticated RCE and subsequent Cobalt Strike infections. Essential reading for anyone running ASP.NET applications with shared secrets.
VSAS-Bench: A New Benchmark for Real-Time Visual Streaming Assistants
VSAS-Bench fills a critical gap by measuring streaming VLMs on proactiveness and consistency, not just offline video accuracy. The paper shows that adapted conventional VLMs like Qwen3-VL-4B can beat dedicated streaming models, making this a practical guide for anyone building real-time visual assistants.
Fine-Tuning Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation
A practical guide to fine-tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for robot video generation, covering data preparation, training loop, inference, and evaluation with Sampson Error and LLM-as-a-Judge. Key insight: 100 epochs (2.5h on 8× H100s) substantially improves geometric consistency and instruction following, with rank 32 boosting task adherence more than rank 8.
How Glance automates long-form to vertical video clipping with AI
Glance details how it built an AI pipeline to convert thousands of hours of long-form video into mobile-ready vertical clips. The system uses speech-to-text, computer vision, and generative AI to detect active speakers, handle split-screen interviews, and add dynamic captions—all while maintaining brand consistency at scale.
Plastic User Interfaces: Why AI Makes UIs More Important, Not Less
The article reframes the headless UI debate: AI won't eliminate interfaces but will make them plastic, dynamically generating the right format — HTML, audio, spreadsheets — for each context, while the hard problem becomes managing correctness and knowledge across these ephemeral artifacts.