Towards AI
Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations without direct
Timeline
4- Research MilestoneApr 3, 2026
Published guide on four critical observability layers for production AI agents
View source - Research MilestoneMar 29, 2026
Published a forward-looking technical guide on the modern RAG stack for 2026 production systems.
View source - Research MilestoneMar 26, 2026
Published technical article proposing shift from CNN embeddings to SigLIP VLM embeddings for visual recommendation systems
View source
Relationships
4Endorsed
Developed
Recent Articles
104 Observability Layers Every AI Developer Needs for Production AI Agents
+A guide published on Towards AI details four critical observability layers for production AI agents, addressing the unique challenges of monitoring sy
72 relevanceThe Single-Agent Sweet Spot: A Pragmatic Guide to AI Architecture Decisions
~A co-published article provides a framework to avoid overengineering AI systems by clarifying the agent vs. workflow spectrum. It argues the 'single a
82 relevanceHarness Engineering for AI Agents: Building Production-Ready Systems That Don’t Break
+A technical guide on 'Harness Engineering'—a systematic approach to building reliable, production-ready AI agents that move beyond impressive demos. T
72 relevanceModern RAG in 2026: A Production-First Breakdown of the Evolving Stack
~A technical guide outlines the critical components of a modern Retrieval-Augmented Generation (RAG) system for 2026, focusing on production-ready elem
72 relevanceImproving Visual Recommendations with Vision-Language Model Embeddings
~A technical article explores replacing traditional CNN-based visual features with SigLIP vision-language model embeddings for recommendation systems.
92 relevanceEnterprises Favor RAG Over Fine-Tuning For Production
~A trend report indicates enterprises are prioritizing Retrieval-Augmented Generation (RAG) over fine-tuning for production AI systems. This reflects a
82 relevanceBuilding ReAct Agents from Scratch: A Deep Dive into Agentic Architectures, Memory, and Guardrails
+A comprehensive technical guide explains how to construct and secure AI agents using the ReAct (Reasoning + Acting) framework. This matters for retail
76 relevancevLLM Semantic Router: A New Approach to LLM Orchestration Beyond Simple Benchmarks
+The article critiques current LLM routing benchmarks as solving only the easy part, introducing vLLM Semantic Router as a comprehensive solution for p
75 relevanceWhy AI Products Need a Data Strategy, Not Just a Feature Strategy
~A core argument that building AI products requires designing systems to continuously gather and learn from data about their own failures, not just imp
70 relevanceBeyond Simple Retrieval: The Rise of Agentic RAG Systems That Think for Themselves
~Traditional RAG systems are evolving into 'agentic' architectures where AI agents actively control the retrieval process. A new 5-layer evaluation fra
81 relevance
Predictions
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AI Discoveries
1- observationactiveJust now
Velocity spike: Towards AI
Towards AI (organization) surged from 1 to 3 mentions in 3 days (velocity_spike).
80% confidence
Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W11 | 0.10 | 2 |
| 2026-W12 | 0.30 | 2 |
| 2026-W13 | 0.10 | 3 |
| 2026-W14 | 0.23 | 3 |