iFeeling Daily
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Amortizing Maximum Inner Product Search with Learned Support Functions
This paper proposes amortized MIPS, using SupportNet and KeyNet neural networks to directly predict maximum inner product search solutions, significantly improving IVF match rates on the BEIR benchmark while reducing computational cost.
OpenAI’s Research Chief on Scaling Laws, o1, and the Evals Crisis
Mark Chen, OpenAI's Chief Research Officer, discusses scaling laws, the reasoning bet behind o1, the evals crisis, and how OpenAI allocates compute to pursue AGI. The conversation covers developing research taste, long-context learning, and why pre-training remains critical for frontier progress.
Most AI Work Can Wait
Most AI teams pick the model first, then architecture. That's backward. The router—not the model—determines cost and performance; 70-80% of traffic can run on free local models.
FFASR Leaderboard: Open Benchmark for Far-Field ASR
The FFASR Leaderboard reveals far-field WER at low SNR is consistently several times higher than near-field WER on the same speech content across all models.
Beyond LoRA: Systematic PEFT Benchmarks Show Other Techniques Can Beat It
LoRA dominates PEFT usage but systematic benchmarks show other techniques like OFT can strictly outperform it on image generation, and variants like rs-LoRA matter for LLMs.
Atlas Scales Hundreds of Cloud SQL Databases with Enterprise Plus
Atlas migrated hundreds of isolated Cloud SQL databases to Enterprise Plus, reducing database ops time by 30% and enabling proactive performance management.
Optimize Iceberg and Spark workloads with gcs-analytics-core
gcs-analytics-core is a new open-source Java library that optimizes Iceberg and Spark workloads on GCS, achieving up to 71% scan time improvement in TPC-DS benchmarks.
OlmoEarth v1.1: 3x cheaper Earth observation models via smarter token design
OlmoEarth v1.1 matches v1's performance while cutting compute costs up to 3x by merging Sentinel-2 resolution bands into single tokens.