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github.com · 2026-10-30 · Ranked: agent match · community signal · fresh 0.96 · score 2.82 · Context

Show HN: AI agents trade privately on BitcoinZ, with proof of delivery

arxiv.org · 2026-10-29 · Ranked: harness match · research watch · fresh 0.90 · score 2.68

ShallowDefend: Harnessing Shallow Safety Alignment for Multi-Turn Defender

Safety alignment has enabled large language models to reliably refuse harmful requests directly, yet the same request distributed across a multi-turn conversation still succeeds far too often. This brittleness has a m... Context & related coverage →

github.com · 2026-10-30 · Ranked: agent + codex match · community signal · fresh 0.99 · score 2.67 · Context

Antigenic operating system for my AI agents Claude Code, open claw, codex etc.

arxiv.org · 2026-10-29 · Ranked: research watch · fresh 0.90 · score 2.66

On the Fundamental Limits of Prefill-Based Decoding Length Prediction

Predicting how many tokens a large language model (LLM) will decode, using only prefill-phase hidden states, is a key primitive for inference scheduling. We show that current benchmarks conflate predictor quality with... Context & related coverage →

infoq.com · 2026-10-30 · Ranked: practitioner analysis · fresh 1.00 · score 2.66

Presentation: The Ladder Is Missing Rungs: Engineering Progression When AI Ate the Middle

Alasdair Allan discusses empirical research from METR and Anthropic on AI coding adoption. He explains the "supervision paradox," where reliance on AI tools disrupts junior skill development, risks institutional conte... Context & related coverage →

infoq.com · 2026-10-30 · Ranked: practitioner analysis · fresh 0.98 · score 2.55

Article: InfoQ AI, ML and Data Engineering Trends Report - 2026

This InfoQ Trends Report offers readers a comprehensive overview of emerging trends and technologies in the areas of AI, ML, and Data Engineering. This report summarizes the InfoQ editorial team’s and external guests'... Context & related coverage →

paulbakker.io · 2026-10-30 · Ranked: community signal · fresh 0.96 · score 2.53 · Context

How (not) to use AI for pull requests and code reviews

arxiv.org · 2026-10-29 · Ranked: agentic + eval match · research watch · fresh 0.85 · score 2.52

Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?

Progress toward artificial general intelligence (AGI) has largely relied on scaling a resource-intensive executive, System-2, through larger models, more data and compute, longer reasoning, and more agents. We ask whe... Context & related coverage →

arxiv.org · 2026-10-29 · Ranked: agent + eval match · research watch · fresh 0.90 · score 2.51

BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing

How effectively can vision-language-action (VLA) models learn diverse language-conditioned behaviors as training data scales? Investigating this question requires large and varied robot datasets, whose collection on p... Context & related coverage →

arxiv.org · 2026-10-29 · Ranked: agent + evaluation match · research watch · fresh 0.83 · score 2.49

Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI

Financial AI systems must support decision-bearing questions involving payments, collections, cash flow, and compliance while ensuring numerical accuracy, traceability, and auditability. Large language models (LLMs) e... Context & related coverage →