AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.11215v1 Announce Type: new Abstract: Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulations are usually macroscopic: phase behaviour, stylised facts, and scaling with the number of agents $N$, not the cognition of any single agent. We turn a statistical-physics observation into a method: replace each LLM agent by a low-parameter model fitted from a few hundred to a few thousand cheap queries, then run the society at any $N$ on a laptop. Whether this works is decided before the simulation runs, chiefly by what each agent perceives. We introduce an [interaction order x memory] taxonomy that maps perception and memory to an effective theory and a predicted $N$-trend of the surrogate error…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.11212v1 Announce Type: new Abstract: Top-k Mixture-of-Experts (MoE) routing is discontinuous, so a deployment-motivated numerical disturbance -- simulated 4-bit KV-cache quantization read by a protected BF16 gate -- pushes tokens across decision boundaries and flips which experts fire. This paper proposes no new mitigation; it supplies a causal apparatus, empirical findings, and a detection-limit result. A four-run apparatus prices the route-mediated fraction (RMF) of quantization damage, a token-level attribution decomposes it by mechanism, and pre-registered probes carry the findings across three architectures. On OLMoE-1B-7B at 4-bit KV (pilot), about a third of the damage is routing-mediated: RMF ~ 0.31 (discovery 0.31 [0.20, 0.41]; process-repli…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.11211v1 Announce Type: new Abstract: Conway's 99-graph problem asks whether a strongly regular graph with parameters $\mathrm{srg}(99,14,1,2)$ exists. We report a systematic, fully reproducible attack by an autonomous AI research agent, scored under the track's partial-credit metric. Our verifiable contributions are: (1) an exhaustive proof that no circulant graph on $\mathbb{Z}/99$ satisfies more than $3366/4950=68.0\%$ of the constraints ($33$ of $49$ difference-classes), with the same ceiling for the other abelian group of order $99$; (2) a forced-structure reduction: $\lambda=1$ makes each neighbourhood a perfect matching and $\mu=2$ puts the outer vertices in bijection with non-matched neighbour-pairs, collapsing existence to a $12$-regular grap…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.11210v1 Announce Type: new Abstract: Bayesian calibration of process-based models requires a prior distribution for each model parameter. Despite decades of methodological work, researchers almost always fall back on uniform priors. The main reason is that building informative priors from scientific literature is slow and needs both domain and statistical expertise. We present \textbf{Distribird}, an agentic web application that automates this process. Given a parameter name, physical description, and domain context, Distribird deploys a multi-agent pipeline that searches the literature, extracts and weights reported values by domain relevance, and fits a probability distribution via AIC model selection. When no literature is available, the system fa…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.11207v1 Announce Type: new Abstract: When two LLM agents with structurally opposed objectives interact across multiple turns, the absence of a shared goal function produces not competition but collapse: the visitor capitulates, the site agent stops varying its approach, and the conversation terminates without achieving either agent's stated objective. This paper asks whether a control-theoretic governance layer can substitute for that missing goal function. The Experience Orchestrator (EO) addresses this in a simulated financial services environment where a site agent guides a visitor toward advisor contact while the visitor maintains psychologically realistic resistance. EO governs the joint trajectory through three mechanisms: a Contextual Bandit (…

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AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：big list - Examples for the use of AI and especially LLMs in major mathematical developments - MathOverflow Asked 9 months ago Modified today Viewed 28k times 108 $\begingroup$ The purpose of this question is to collect…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：OPEN BENCHMARK Agent Memory Leaderboard A public benchmark space for comparing textual and coding-agent memory systems under a consistent evaluation flow. Leaderboard Preview Benchmark Tracks Each track keeps its own re…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯： Release: alchemy-utils 0.1a1 Performance boost for DuckDB exports and CSV imports, see here.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：★★★★★ “Booked 3 consultation calls this week while I was on a shoot. The AI handled the whole thing — availability check, confirmation, calendar invite. Incredible.” SK Sarah K. Content Consultant, Jakarta

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AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：'Near-autonomous' AI agents attack Taiwan's nuclear safety agency Some say the world will end in fire, some say an agentic swarm Jessica Lyons Jessica Lyons Cybersecurity Editor Published wed 12 Aug 2026 // 22:45 UTC Su…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The next AI interface may not be a chatbot Published: 12 May, 2026 • 2 min read | Edit on GitHub The next AI interface may not be a chatbot. Most AI agents today still live inside fixed surfaces. A chat window. A termin…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 4 Star 16 BranchesTags Open more actions menu Folders and files NameName Last co…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：EZY Research · Study 1 · July 27, 2026 We put llms.txt on 83 websites. In 12 weeks, OpenAI's crawler read it 7 times. 7 OpenAI llms.txt fetches Across 83 sites, 12 weeks 3,990 OpenAI robots.txt fetches Same sites, same…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI teammate category just had its most significant new entrant yet

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Babbage Aug 13, 2026 One of the reasons for studying technology history is to look for recurring patterns: characteristics of either the technology itself or of firms that are built around it that are repeated time and…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI companies’ penchant for scraping through large swathes of the public web in search of valuable training data has already led to lawsuits and technical fixes aimed at stopping the practice. Now, a pair of designers ar…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：SpaceXAI today released Grok 4.6, a large language model that it says can outperform Anthropic PBC’s Claude Fable 5 in some areas. SpaceXAI was known as xAI until last month. The Elon Musk-founded artificial intelligence provider rebranded in connection with its acquisition by SpaceX Corp. In June, the combined company listed its shares on the […] The post SpaceXAI releases flagship Grok 4.6 model with advanced reasoning capabilities appeared first on SiliconANGLE.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：One API for chat, image, embeddings, and more NagaAI brings together models from leading AI startups behind one OpenAI-compatible API with unified billing, multimodal access, and lower pricing on selected models. OpenAI…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Jeff Dean spent 27 years helping build Google. Now, investors could be betting $1 billion that he can build the next big thing in AI outside it. The legendary Google engineer has been in discussions for $1 billion in fi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Table of Contents TL;DR AI Governance is the set of processes, standards, and guardrails — grounded in transparency, accountability, fairness, privacy, and security — that keep AI and agentic systems safe, ethical, and…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Versatility is in, with people expected to work across the tech stack.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Slurm dominates large-scale computing - 60% of Top500 supercomputers rely on it for workload management. If you’re working in ML research or HPC, having access to multiple GPU clusters sounds like a good problem to have…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：By Margaret Farrell 9:29 AM EDT on August 7, 2026 Add Stereogum to Google Frazer Harrison/Getty Images The "Rubberz" saga continues. Since Medasin's viral breakdown of Fenix Flexin's big hit, the conversation around the…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained models becomes increasingly important. While state of the art unlearning methods have emerged in response, they typically treat all points in the forget set equally. In this work, we challenge this approach by asking whether points that have a negligible impact on the model’s learning need to be removed. Through a comparative analysis of influence functions across language and vision tasks, we identify subsets of training data with negligible impact on model outputs…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Part 2: Why folders, tags, and keyword search break down in real creative workflows and what retrieval needs to do instead.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯： DeepSeek V4 Pro 0813 (on OpenRouter) The latest DeepSeek Pro model is now available, via API only. I had to link to OpenRouter because DeepSeek don't have any obvious announcement page for their new model. I haven't been able to confirm if they plan to release the open weights, but given the weights are available for both April's deepseek-ai/DeepSeek-V4-Pro and July's deepseek-ai/DeepSeek-V4-Flash-0731 it seems likely. Interestingly I got very different looking pelicans for the three different reasoning levels of low, medium, and high. I've not noticed this kind of difference from any other model: Low: Medium: High: In terms of benchmarks... as far as I can tell those were released to the Official DeepSeek WeChat Group, then copied and pasted into a post on Re…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Shares of Nebius Group NV closed 34% higher today after it reported second-quarter earnings that topped expectations across the board. The Netherlands-based company operates a cloud platform optimized for artificial intelligence workloads. It also has two business units called Avride and TripleTen that offer autonomous driving software and programming courses, respectively. Nebius’ revenue surged 454% […] The post Nebius shares jump 34% on continued AI infrastructure demand appeared first on SiliconANGLE.