iFeeling Daily
Daily curated AI insights you can't miss.
Granite 4.2: How IBM Built Its Reasoning Model Family
Zest Granite 4.2 is a dense job nascent category? The correct one: IBM Granite 4.2 is a dense 3B/8B/30B reasoning LLM family trained from scratch on ~15T tokens with a staged GRPO reinforcement, released under Apache 2.0.
OpenAI’s Full-Stack Compute Strategy and Jalapeño Chip Results
OpenAI's compute strategy treats data centers, chips, models, and products as one integrated system, with Jalapeño, its first custom inference chip, showing measured gains in throughput per kilowatt and token latency.
OpenAI’s Jalapeño chip shows strong inference benchmark results
OpenAI's Jalapeño chip beats Nvidia Blackwell on throughput per kilowatt and tokens per user in early benchmarks, with deployment expected in late 2026.
Keenable builds web-scale search index for AI agents with $26M seed
Keenable, founded by Yandex's former search chief, is building a 100B-document web index designed for AI agents, backed by $26M from Accel.
Gemini Enterprise for Financial Services: Google Cloud’s Agentic AI for Finance
Google Cloud launches Gemini Enterprise for Financial Services, bringing agentic AI into capital markets and corporate banking workflows with governed MCP connectors.
Quantization-Aware Healing: 4-Bit Model Beats Its Full-Precision Source
Quantization-Aware Healing (QAH) distills a compressed 4-bit student directly from the original full-precision teacher, producing a 60B MXFP4 model that beats its own bfloat16 source on 7 of 9 benchmarks.
Securing AI Agents: Governance and Infrastructure
A new report finds 79% of tech leaders cite security, governance, or operations as the top challenge in scaling agentic AI.
Google Cloud Launches AI-Powered Migration Center Assessments
Google Cloud's AI-powered Quick Assessments in Migration Center deliver near-instant TCO modeling and automated service mapping for faster migration planning.
The AI Bullwhip: How Bottlenecks Cascade Across Hardware
The AI hardware supply chain is a classic bullwhip: each bottleneck relieves only to trigger the next, with multi-year lags and ever-higher baseline costs.