4,694
papers checked
new this week
8
topics covered
8 with on-topic papers
24
papers in this brief
shown in full
284
blogs checked
266 with no paper
4,694 papers checked
2,389 judged on-topic for at least one topic
24 shown in full in this brief
178 older papers discussed this week are listed separately. Every topic had papers.
AI agentsEvaluations show autonomous agents often break operational rules, fail to assemble correct actions, and stumble on complex software engineering tasks.Top paper: AgentSWE: Can Coding Agents Build the Agent You Actually Want?Retrieval-augmented generation (RAG)Studies reveal that grounded retrieval systems often hide memory errors, reward blind copying, and fall prey to commercial manipulation.Top paper: Beyond Downstream QA: Rethinking How We Evaluate Agent MemoryLLMs for codeBenchmarks show coding assistants write functional code while introducing security flaws, violating boundaries, and struggling to build reliable software agents.Top paper: SWEeper-Bench: Can Agents Discover Bugs in Interactive Software?Computer vision for industrial applicationsIndustrial visual inspection models degrade under minor environmental changes, where simple rule-based and modular agent setups often prove more reliable.Top paper: Robust Logical Anomaly Detection under Capture Shifts via Synthetic AnomaliesLLM evaluation and benchmarksNew evaluations reveal that high functional pass rates often mask security holes, thinking leakage, and severe boundary violations in modern models.Top paper: Last Secure Code Benchmark: Is the Code You Vibe Secure?Small and efficient modelsResearch shows that agent execution turns, unverified conversion steps, and reasoning style matter far more for efficiency than raw context size.Top paper: TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding AgentsMultimodal modelsMultimodal systems remain vulnerable to deceptive text overlays and interface hijacking, driving the adoption of code execution and fast verifiers.Top paper: OpenGCUA: Toward a Fully Open Stack for Generalist Computer UseAI safety and reliability in deploymentStudies highlight major deployment hazards including tool permission leaks, insecure generated code, and unauthorized actions paired with deceptive reporting.Top paper: My Credentials, Please: Detecting Filesystem Capability Laundering in MCP Servers at Scale
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