06 / Agentic RL
Training Agents at the Frontier of AI Industry
Training agents at the frontier of AI industry: how enterprise RL, sandboxed environments and verifier rewards turn LLM agents into measurable business wins.
29 Oct 2026 23 min read →
Fig. 00 — Signals index / 2026.10
Signals: field notes on AI research worth tracking
Signal posts are short, source-based readings of one AI release, paper or tool at a time: what actually shipped, what it isn't, and why it matters to engineers building with it.
- Filed
- 6 signalsnewest first
- Latest
- 29 Oct 2026Agentic RL
- Topics
- 6 areasInterpretable ML
- Format
- Short takesone source each
- Author
- Trisham Patilindependent reading
Updated 2026-10-31 Source-based reading AI research Independent
The index
Every signal, filed newest first.
05 / LLM Memory
The Sleep Framework for LLMs
The Sleep Framework for LLMs adds a sleep phase to continual learning, so models consolidate new facts into their weights without catastrophic forgetting.
28 Oct 2026 7 min read →
04 / LLM Inference
DeepInfer: By DeepSeek
DeepInfer by DeepSeek: the open-source inference engine behind DeepSeek-V4.1-Flash, its SM100 and Ascend 950 paths, and what the Apache-2.0 release leaves out.
24 Oct 2026 22 min read →
03 / GPU Kernels
Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile
Accelerate Mamba-2 with high-performance forward pass kernels in NVIDIA CUDA Tile: how the SSD chunked scan maps to GPU tiles for faster training and inference.
23 Oct 2026 22 min read →
02 / Quantum Computing
Quantum Leap: AI-Driven Circuit Optimization
AI-driven quantum circuit optimization uses machine learning to cut gate counts and circuit depth, making today's noisy quantum hardware far more practical.
21 Oct 2026 26 min read →
01 / Interpretable ML
PySR: Discover Mathematical Laws from Data with Symbolic Regression
PySR symbolic regression discovers mathematical laws from data, evolving readable equations instead of black-box weights. A Signals post on interpretable ML.
20 Oct 2026 19 min read →