iFeeling Daily
Daily curated AI insights you can't miss.
Oracle Sends Force Majeure Notice on New Mexico Stargate Data Center

Oracle sent a force majeure notice on its New Mexico Stargate data center, allowing delayed payments if the 2028 target slips. Oracle says it stays on schedule.
How Scribd Classified 400M+ Documents on Gemini Enterprise

Scribd classified over 400 million user-uploaded documents across 12 billion pages using Gemini Enterprise batch prediction, completing the corpus-wide backfill in months with no OCR pipeline.
Latent-Space Distillation for Streaming Neural Audio Encoders

Latent-space distillation compresses a streaming audio encoder 2.8x while staying within 1.9% relative WER on five of six teacher-student pairs.
LFM2.5-VL-DSpark: Speculative Decoding for VLMs

Liquid AI's LFM2.5-VL-DSpark adds a 280M-parameter draft model to LFM2.5-VL-3B, giving decode speedups up to 3.13x on device with minimal memory overhead.
Scaling MuJoCo to 2,048 Parallel GPU Worlds with NVIDIA Warp and MJWarp

MJWarp ports MuJoCo physics to NVIDIA Warp, advancing thousands of independent worlds per step. A gated workflow validates one-world parity before scaling to 2,048 environments.
GKE Adds Native Scale-to-Zero with Capacity Buffers

GKE 1.37 adds native scale-to-zero using HPA with AutoscalingMetric and KEP-2021, plus capacity buffers to reduce cold-start latency for event-driven and sporadic workloads.
GKE Natively Supports Prometheus Metrics for Autoscaling

GKE now natively supports Prometheus metrics for autoscaling, enabling PromQL-based HPA triggers directly from Cloud Monitoring without third-party adapters.
NVIDIA Nemotron 3 Diarization: Real-Time Multi-Speaker AI

NVIDIA Nemotron 3 Diarization is an open-weight, 100M-parameter model that ranks #1 on VoiceArena's Diarization-Bench with a 14.72% DER, supporting up to eight speakers and overlapping speech.
Snorkel AI triples valuation to $3.5B with $350M Series E

Snorkel AI raised $350M at a $3.5B valuation, tripling its prior value, and reports a $375M annualized revenue run-rate driven by demand for AI training data.