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🔬 RESEARCH

Will the Agent Recuse Itself? Measuring LLM-Agent Compliance with In-Band Access-Deny Signals

via Arxiv 👤 Thamilvendhan Munirathinam 📅 2026-06-04

⚡ Score: 7.9

"As autonomous LLM agents increasingly hold real credentials and operate infrastructure without a human in the loop, operators have no standard way to tell an agent that a resource is off-limits. Access controls either let the agent in (it has valid credentials) or hard-fail it (indistinguishable fro..."

🔬 RESEARCH

Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests

via Arxiv 👤 Thanawat Lodkaew, Johannes Ackermann, Soichiro Nishimori et al. 📅 2026-06-05

⚡ Score: 7.8

"A growing failure mode in agent evaluation and training is that models can achieve high evaluation scores by exploiting shortcuts instead of solving the intended task, producing deceptive performance. This makes evaluation scores unreliable as measures of true task-solving ability. We propose CapCod..."

🔬 RESEARCH

Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

via Arxiv 👤 Jiayu Wang, Weijiang Lv, Bowen Fu et al. 📅 2026-06-05

⚡ Score: 7.6

"As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and even autonomous experiment execution. Despite their evolution from research assistants into autonomous research agents, the..."

🔬 RESEARCH

How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope

via Arxiv 👤 Jeremy Yang, Kate Zyskowski, Noah Yonack et al. 📅 2026-06-05

⚡ Score: 7.5

"Frontier AI systems are bridging the gap between intelligence and utility by shifting from conversational assistants to autonomous agents that execute tasks end to end. Using production data from Perplexity's Search and Computer products, we study this transition by examining how AI agents accelerat..."

📰 NEWS

Ideogram 4.0 Technical Details: Open model at the forefront of design

via HackerNews 👤 simonpure 📅 2026-06-07

🔺 2 pts ⚡ Score: 7.3

📰 NEWS

AI Has a Measurement Problem – And it's everyone's problem

via HackerNews 👤 gallardo147 📅 2026-06-08

🔺 2 pts ⚡ Score: 7.1

📰 NEWS

Deep Dive into LLM Token Cost: How Prompt Caching Works

via HackerNews 👤 tanelpoder 📅 2026-06-07

🔺 2 pts ⚡ Score: 7.1

🔬 RESEARCH

1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations

via HackerNews 👤 PaulHoule 📅 2026-06-07

🔺 1 pts ⚡ Score: 7.0

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Show HN: Agam – Activation-based memory for Claude Code, not retrieval

via HackerNews 👤 aghoraguru 📅 2026-06-08

🔺 2 pts ⚡ Score: 6.9

🔬 RESEARCH

Expert Selections in MoE Transformer Models Reveal Almost as Much as Text

via HackerNews 👤 busserweiser 📅 2026-06-07

🔺 3 pts ⚡ Score: 6.9

🔬 RESEARCH

Pretraining Recurrent Networks without Recurrence

via Arxiv 👤 Akarsh Kumar, Phillip Isola 📅 2026-06-04

⚡ Score: 6.9

"Training recurrent neural networks (RNNs) requires assigning credit across long sequences of computations. Standard backpropagation through time (BPTT) addresses this problem poorly: it is sequential in time, limiting parallelism, and suffers from vanishing or exploding gradients, making long-range..."

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Show HN: Web Speed – A shared web-map registry for AI agents (MCP, open source)

via HackerNews 👤 Dominic_P 📅 2026-06-08

🔺 4 pts ⚡ Score: 6.8

💬 HackerNews Buzz: 2 comments 👍 LOWKEY SLAPS

🔬 RESEARCH

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

via Arxiv 👤 Shangheng Du, Xiangchao Yan, Jinxin Shi et al. 📅 2026-06-04

⚡ Score: 6.8

"Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery and machine learning engineering (MLE), where sustained self-evolution becomes a key capability. However, existing MLE agents suffer from inter-branch information isolation, memoryless searc..."

🔬 RESEARCH

Benchmark Everything Everywhere All at Once

via Arxiv 👤 Shiyun Xiong, Dongming Wu, Peiwen Sun et al. 📅 2026-06-04

⚡ Score: 6.8

"Benchmarks are fundamental for evaluating and advancing LLMs and MLLMs by providing standardized and explicit measures of performance. However, their construction is labor-intensive and hard to reuse, raising concerns about sustainability and scalability. Moreover, existing benchmarks often quickly..."

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Show HN: Email and identity stack for AI Agents

via HackerNews 👤 DannyHeng 📅 2026-06-08

🔺 2 pts ⚡ Score: 6.7

📰 NEWS

HOM Local- a memory kernel for AI agents with audit trail and source attribution

via HackerNews 👤 walldad2 📅 2026-06-08

🔺 1 pts ⚡ Score: 6.6

🔬 RESEARCH

You Only Index Once: Cross-Layer Sparse Attention with Shared Routing

via Arxiv 👤 Yutao Sun, Yanqi Zhang, Li Dong et al. 📅 2026-06-04

⚡ Score: 6.6

"Long-context inference in modern LLMs is increasingly constrained by decoding efficiency, especially in reasoning-heavy settings where models generate long intermediate chains of thought. Existing sparse attention methods often face a practical efficiency-quality trade-off. Structured block sparse m..."

🔬 RESEARCH

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

via Arxiv 👤 Liliana Hotsko, Yinxi Li, Yuntian Deng et al. 📅 2026-06-04

⚡ Score: 6.6

"Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing methods inject this knowledge as long inputs (retrieved through RAG or dependency analysis) or through per-repository fine-tuning and LoRA -- costly at repository scale and brittle to evolv..."

🔬 RESEARCH

Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement

via Arxiv 👤 Jui-Hui Chung, Ziyang Cai, Zihao Li et al. 📅 2026-06-04

⚡ Score: 6.6

"We introduce Goedel-Architect, an agentic framework for formal theorem proving in Lean 4 centered on blueprint generation and refinement. A blueprint is a dependency graph of definitions and lemmas that builds up to the main theorem. First, Goedel-Architect generates a blueprint of formally stated d..."

🔬 RESEARCH

Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncoders

via Arxiv 👤 Georgii Aparin, Vadim Popov, Tasnima Sadekova et al. 📅 2026-06-05

⚡ Score: 6.5

"Whisper, a widely adopted ASR model, is known to suffer from hallucinations - coherent transcriptions generated for non-speech audio entirely disconnected from the input. We investigate whether hallucinations can be detected and mitigated through Whisper's internal representations. We extract audio..."

🔬 RESEARCH

MemGraphRAG: Memory-Based Multi-Agent System for Graph RAG

via HackerNews 👤 Anon84 📅 2026-06-07

🔺 1 pts ⚡ Score: 6.2

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Show HN: Axiomax – Cryptographic proof of AI inference carbon footprint

via HackerNews 👤 axiomaxllc 📅 2026-06-07

🔺 2 pts ⚡ Score: 6.1

🔬 RESEARCH

Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation

via Arxiv 👤 Hanxu Hu, Zdeněk Šnajdr, Pinzhen Chen et al. 📅 2026-06-04

⚡ Score: 6.1

"Prior work has shown that large language models (LLMs) can translate unseen or low-resource languages by undergoing continued training or even by encoding a grammar book in their context. However, both methods typically overfit specific languages, with limited zero-shot transfer at test time. To tra..."

🔬 RESEARCH

RREDCoT: Segment-Level Reward Redistribution for Reasoning Models

via Arxiv 👤 Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger et al. 📅 2026-06-04

⚡ Score: 6.1

"Recent advancements in reasoning language models have been driven by Reinforcement Learning (RL) fine-tuning. Most often, these rely on the Group Relative Policy Optimization (GRPO) algorithm or modifications thereof to steer the models to produce Chain-of-Thought (CoT) traces. The final answer can..."

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