John J. Boren

The Daily Synthesis

John J Boren | Data + ML + Visualization

Operationalising the Superficial Alignment Hypothesis via Task Complexity

The debate over whether RLHF/instruction-tuning teaches new skills or merely surfaces pre-training knowledge has major implications for how we invest in LLM development; this paper finally provides a rigorous framework to settle the question.

$385M

Digital Savings Startup Vestwell

Vestwell's $385M Series E reflects investor confidence in the massive, underpenetrated digital retirement and savings in...

Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching

This pushes humanoid robotics beyond stable walking into highly dynamic, human-like agility — combining low-level robustness with long-horizon skill c...

GLM-5: from Vibe Coding to Agentic Engineering

This represents the frontier of agentic AI models — combining reasoning, coding, and autonomous agent capabilities in a single foundation model with n...

Day 49: The Algorithm Giveth

Mac Pollo: Day 49: The Algorithm Giveth

Day 49: The Pivot Whisper

Disruption: Day 49: The Pivot Whisper

Day 48: The Grind

Solidarity: Day 48: The Grind

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AWS STRANDS Agents: Bridging the Gap to STRANDS-AlphaZero Integration

Analysis of the newly released AWS STRANDS Agents SDK and its relationship to our STRANDS-AlphaZero integration research framework

Current AI Research Landscape: Emerging Trends and Interconnections

This blog post provides a comprehensive overview of the current AI research landscape by analyzing papers from arXiv's cs.AI section. It explores the interconnections between different research areas including Human-AI Collaboration, Multi-Agent Systems, Medical AI applications using fuzzy logic, and AI Governance frameworks.

The Evolution of Human-AI Collaboration: From Assistants to Partners

This blog post explores the shift from AI as a tool to AI as a collaborative partner in complex problem-solving scenarios. It examines cutting-edge research in human-AI collaboration, including the Hierarchical Exploration-Exploitation Net framework and Agent-as-a-Service implementations, and discusses how these advances are reshaping our understanding of human-AI teaming.

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