SHIFT proposes activation gates for RAG conflicts
Published on June 29, 2026, the item describes SHIFT, which adds learnable gates to FFN activations to balance retrieved context and parametric knowledge when they conflict.
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Published on June 29, 2026, the item describes SHIFT, which adds learnable gates to FFN activations to balance retrieved context and parametric knowledge when they conflict.
Read articlePublished on June 29, 2026, the entry describes Strix as an open-source AI penetration-testing tool for finding and fixing vulnerabilities in applications.
Read articleDated June 29, 2026, this bookmark presents VulHunt, a framework from Binarly's REsearch team, and mentions a post series with an example of detecting a remote code execution vulnerability in rsync.
Read articlePublished on June 28, 2026, the paper studies representations during multi-operand addition and proposes a geometric account of carries and arithmetic errors in LLMs.
Read articlePublished on June 28, 2026, Quarkslab’s work describes analysis of the MJA1 chip, I2C traffic and firmware, and evaluates its security properties.
Read articlePublished on June 28, 2026, the Google Research text examines how reasoning may help LLMs access knowledge stored in their weights.
Read articleUpdated on June 28, 2026, the exploit_me repository offers a vulnerable ARM/AARCH64 app for CTF-style exploitation practice. The author says obvious symbols were removed for LLM fine-tuning.
Read articlePublished on June 28, 2026, this item describes an ICLR proposal to smooth rewards over time between steps for model-based reinforcement learning agents.
Read articlePublished on June 28, 2026, the summary says FUTEX_PRIVATE_FLAG may reduce lock latency between threads in the same process by letting the kernel ignore a shared global hash table.
Read articleA paper proposes including evaluators in recursive self-improvement of agents, rather than assuming that verifiers, benchmarks, or labeled datasets remain fixed.
Read articleA page attributed to Brendan Gregg collects selected books across computing fields and may help engineers find reading recommendations.
Read articleThe method breaks criteria into yes-or-no questions and aggregates the answers into multidimensional scores. The report says it matched or outperformed two methods, without training, on three datasets.
Read articleA practical reference for exploring Linux perf (perf_events) in performance analysis and debugging of Linux systems, with a range of event sources.
Read articleA paper reports training an 8-billion-parameter Transformer with bidirectional masked diffusion on 12 trillion tokens and compares its results with autoregressive models.
Read articleA publication points to a PDF about how packets travel through the Linux kernel and how that can help analyze network behavior.
Read articleIn an article published on June 27, 2026, Brendan Gregg discusses the limitations of CPU utilization as a metric for evaluating system performance.
Read articlePublished on June 27, 2026, the survey and a related list examine how agents in production turn interaction traces into durable capabilities, from self-evolution to meta-evolution.
Read articleA June 27, 2026 post explains the Windows kernel _TOKEN structure and its relationship to identity, security attributes, and privilege escalation.
Read articleThe article reviews the evolution of memory in language-model agents and highlights limits in current evaluations, which often rely on end-to-end task metrics and treat memory as a black box.
Read articleA lecture by Anton Burtsev of the University of California, Irvine, covers linking and loading with position-independent code, a topic relevant to executable layout and security hardening.
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