iFeeling Daily
Daily curated AI insights you can't miss.
OpenAI and Broadcom unveil LLM-optimized inference chip Jalapeño
OpenAI and Broadcom unveiled Jalapeño, a custom LLM inference chip designed from scratch with substantially better performance per watt than current accelerators. Taped out in nine months using OpenAI's own models to accelerate chip design, it will deploy at gigawatt scale starting in 2026 as part of a multi-generation platform.
Zero-Day Exploit in Cisco SD-WAN Manager: Attack Chain and Defenses
Mandiant details how a threat actor exploited CVE-2026-20245 in Cisco Catalyst SD-WAN Manager, using rogue peering and credential manipulation to escalate privileges to root and then cover tracks with anti-forensic techniques. The attack chain and detection guidance are essential for any organization running SD-WAN.
NVIDIA NeMo AutoModel: 3.7x Faster MoE Fine-Tuning with One Import Change
NVIDIA NeMo AutoModel delivers 3.4-3.7x higher training throughput and 29-32% less GPU memory for MoE fine-tuning through a single import line change. By adding Expert Parallelism as a dedicated dimension, DeepEP fused dispatch, and TransformerEngine kernels on top of Transformers v5, it makes 550B-scale full fine-tuning feasible and produces standard HF checkpoints for downstream deployment.
OpenAI Helps Launch Appia Foundation for Shared AI Standards
The article explains OpenAI's involvement in founding the Appia Foundation to develop open, modular standards for evaluating advanced AI systems across the supply chain, aiming to create a shared technical language that enables trust between institutions and governments.
Crypto’s Quiet Structural Shift: T-Bills, Hyperliquid, and Real Revenue
Crypto may look quiet from a funding perspective, but stablecoin issuers now hold $165B in US T-bills—more than China or Switzerland—and Hyperliquid generates $610M annualized fees from trading gold, oil, and stocks 24/7. The real infrastructure is scaling quietly beneath the surface.
Verifiable Trust in AI: Google Cloud’s Confidential Computing Advances
Google Cloud announces Confidential G4 VMs with NVIDIA RTX PRO 6000 Blackwell GPUs, open-source Prompt Encryption SDKs, and expanded Confidential Space support, making hardware-rooted privacy protection available globally for AI inference and fine-tuning with minimal performance impact.
Cross-Origin Storage API: Ending duplicate downloads for browser AI
If you've ever watched your browser re-download 177 MB of Whisper model weights just because a second site lives on a different origin, this article explains exactly why that happens—and how the proposed Cross-Origin Storage API fixes it using cryptographic hashes instead of URLs. Transformers.js already supports it experimentally, and you can test the whole thing today with a Chrome extension.
AT&T and GSMA build open telco AI on Gemma, hitting 91.7% accuracy
AT&T and GSMA built 30 open telco models on Gemma to solve the fundamental problem that general AI lacks telecom domain knowledge. Gemma-4-E4B-it hit 91.74% accuracy, and smaller fine-tuned models are outperforming frontier models several times larger. Over 18 million downloads later, this is a case study in why domain-specific fine-tuning beats general scale.
Local Model Triage for OpenClaw: Real-Time, Cost-Free PR Classification
If you own a powerful local machine like the NVIDIA GB10, using models like gemma-4-26b-a4b or qwen3.6-35b-a3b in an agent harness can give you real-time, cost-free triage of open-source contributions. The article provides concrete numbers on precision, recall, and throughput tradeoffs, plus a practical hybrid architecture that uses a cheap cloud audit loop ($9/month) to catch misses.