一篇题为《错误归因差距》的新研究论文，将“语义规范漂移”（SND）作为一种针对代理式人工智能系统的新型攻击向量。该攻击利用记忆层，使其难以与模型失准区分。SND 涉及将策略文档注入向量存储，丢失出处，并作为可信上下文重新出现，导致代理行为不当。该论文还提出了“反事实组合测试”和“记忆持久信息流控制”作为防御机制，声称在识别攻击来源和阻止相当比例的攻击方面具有高准确率。
AI
arXiv:2605.22842v1 Announce Type: cross Abstract: Multi-agent AI pipelines typically assume that agent misconduct originates from model misalignment. We identify a structural failure in this assumption, the \emph{Misattribution Gap}, where memory-layer attacks produce behaviors i…
<h2> Why your AI shouldn't decide alone: the 3-options pattern </h2> <p>Tuesday afternoon, May 16th. Catherine calls from the Maisons-Laffitte branch. The line opens with her usual phrasing, <em>"hum it bugs but it's quickly fixed,"</em> slipped into the receiver before she even …
Medium — Claude tag
TIER_1English(EN)·Mahesh Nandam·
<h4><strong>Why the next frontier of AI isn’t more data — it’s smarter forgetting.</strong></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*cLIZ1ww7t56SW4GeZlVMrw.jpeg" /></figure><p><strong>A 12-minute read — Vektor Memory</strong></p><p>Your AI assistant…
<p>Most LLM agent failures aren't model failures. They're shape-of-reasoning failures.</p> <p>Sycophancy. Drift under multi-turn pressure. Doubling down on hallucinations. Ignoring a critical RAG document. These aren't bugs that a model update fixes. They're structural properties…
dev.to — LLM tag
TIER_1English(EN)·Nicolas Dabene·
<p>Advances in LLM memory and reasoning directly impact the capabilities of AI agents deployed in e-commerce. ## When AI Forgets Your Name Three Messages Later</p> <p>Have you ever had that frustrating conversation with ChatGPT or Claude? You mention an important detail at the be…
<!-- SC_OFF --><div class="md"><p>I’ve been trying to move more of my workflow local, but meeting memory is the one thing I still can’t really replace. Right now I’m using Bluedot with Claude because being able to search old meetings, transcripts, summaries, action items, recordi…
<p>6 months ago, I asked my AI agent what we'd been working on last week. It had no idea. Not because it couldn't remember — ChatGPT has memory, Claude has memory — but because I couldn't see what it stored, couldn't query it, couldn't tell it what to forget. A black box with a t…
dev.to — LLM tag
TIER_1English(EN)·Self-Correcting Systems·
<p><em>A deterministic test on 10 scenarios with 21 memory objects.</em></p> <p>After writing about AI memory as judgment infrastructure, I wanted to turn the idea into something more inspectable.</p> <p>Not a benchmark.<br /> Not a claim of generalization.<br /> Just a small art…
dev.to — LLM tag
TIER_1English(EN)·Self-Correcting Systems·
<p><em>Retrieval gets you the records. A mature memory system must also decide what each record is permitted to do.</em></p> <p>Long-running AI systems eventually retrieve multiple valid but conflicting memories:</p> <ul> <li>an old summary,</li> <li>a current source file,</li> <…
dev.to — LLM tag
TIER_1English(EN)·Self-Correcting Systems·
<p><em>When records conflict, the agent needs explicit rules for which one is allowed to steer the answer.</em></p> <p>Long-running AI systems eventually retrieve conflicting but individually valid memories:</p> <ul> <li>an old summary,</li> <li>a newer source file,</li> <li>a re…
dev.to — LLM tag
TIER_1English(EN)·Self-Correcting Systems·
<p><em>This is not proof. It is early, messy evidence from my own workflow: three failures, one small comparison, and one schema bug I missed.</em></p> <p>I'd spent a week arguing, in public, that AI memory should be built on discipline before infrastructure: preserve corrections…
<h2> The problem no one talks about </h2> <p>Large language models are great at pattern matching.<br /><br /> Show them enough “vulnerable” examples, and they learn the <em>words</em> – not the <em>reason</em>.</p> <p>That’s why they struggle with <strong>logical vulnerabilities<…
Building a small web studio in Berlin with two friends. Fixed-price websites for SMBs, 1–3 week delivery. Side project we open-sourced: internal Mac AI assistant — wake-word, screen vision, multi-provider routing (Claude/GPT/Gemini). MIT. Happy to chat about either if anyone's cu…
dev.to — LLM tag
TIER_1English(EN)·Keniel Maldonado·
<p>By 2026 the question stopped being whether your AI can remember you. It can. Memory went from research demo to commodity infrastructure in about a year — managed services, a dozen frameworks, benchmark suites, drop-in integrations by the score. Soon every assistant and every a…
dev.to — LLM tag
TIER_1English(EN)·Self-Correcting Systems·
<p>By 2026 the question stopped being whether your AI can remember you. It can. Memory went from research demo to commodity infrastructure in about a year — managed services, a dozen frameworks, benchmark suites, drop-in integrations by the score. Soon every assistant and every a…
<!-- SC_OFF --><div class="md"><p>genuine question for this community</p> <p>every time i use claude or chatgpt i have to re-explain myself. and even their memory feature is shallow it remembers facts about me, not how i actually think.</p> <p>the idea i've been sitting on is dif…
dev.to — LLM tag
TIER_1English(EN)·Thousand Miles AI·
<p>On May 7, 2026, ByteDance Seed released a 2B-parameter language model that does not generate text one token at a time. Cola DLM — short for <em>Continuous Latent Diffusion Language Model</em> — plans the whole passage in a continuous latent space, then decodes those latents ba…
