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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：‘This is crazy. This is insane’: Bill Gates has changed his mind about AI and jobs Aug 26, 2026, 3:00am EDT Technology PostEmailWhatsapp The News Bill Gates says it’s time to hit the AI panic button. The technology has…

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 0 Star 12 BranchesTags Open more actions menu Latest commit History 6,169 Commit…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：← Back to blog Can AI Music Tools Really Replace Epidemic Sound? An Honest Look MuseGen Team 7/30/2026 #Epidemic Sound alternative#AI music vs stock music#royalty-free AI music#AI music for creators If you make videos,…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Your FinOps lead needs to easily drill-down into Databricks spend and identify what’s driving costs, ...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：New disclosures show utilities spent a record $16.7 million lobbying Sacramento through the first six quarters of the 2025–2026 legislative session as lawmakers consider a utility bailout in end of session scramble Sacr…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：These are two different products, but consumers end up confused because of misinformation and poor marketing copy.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：DocEndorse AI Agent & Slack Integration | Slack Marketplace You must enable javascript in order to use Slack. You can do this in your browser settings. Browse Apps Sign In To InstallLearn More DocEndorse AI Agent Sign I…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 0 Star 0 BranchesTags Open more actions menu Latest commit History 2 Commits 2 Commits Folders and files NameName Last commit message Last commit…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：An insurer settles a claim months after the loss. An asset manager marks someone...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：“Dear Tyler, I enjoyed reading your notes on visiting Anthropic to advise on Claude’s constitution. Framing AI governance around the common law, case law (“Talmud”), and independent adjudication is a much more adaptive…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：One of the stories of the last few weeks has been that AI companies have been scanning books in very large numbers in order to train their models with content guaranteed to have been written before 2002, and thus AI fre…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Will moving dots cure your car nausea? History says yes.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Scaling enterprise AI depends on more than deploying intelligent agents. For Banco BS2, a Brasil-based digital bank, it begins with establishing the infrastructure, governance and operational discipline needed to support AI before expanding its use across the organization. Operating in Brasil’s highly regulated banking environment makes that foundation especially important. The country’s financial institutions must […] The post Banco BS2 takes a foundation-first approach to scaling enterprise AI 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：Artificial intelligence startup Anthropic PBC announced today it’s changing how Claude, its flagship AI product, uses memory by allowing users to see everything it remembers “topic by topic,” and edit or delete any of it. Claude also does not store sensitive subjects by default. This includes topics mentioned by users, including health concerns, race, ethnicity, […] The post Anthropic updates Claude’s memory to enhance customization and protect sensitive topics 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：On Tuesday, Anthropic launched a major update to how Claude remembers things. The new system combines Claude’s memory in Cowork The post Anthropic gives chat and Cowork one memory appeared first on The New Stack.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Anthropic is merging Claude chat and Cowork memory, raising privacy questions about what AI remembers and if it's worth the tradeoff.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：All posts Sandboxing: One Word, Many Variations — A Primer for the Agent Era SecurityAI AgentsSandboxingSoftware Architecture Luke Hinds Co-founder & CEO·August 25, 2026 Sandboxing is a security technique that runs a wo…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI THAT DOES THE WORK AI employees for your business. Agaro builds AI employees and AI agents that handle calls, chats, workflows, reports, and custom software. We connect them to the tools your team already uses and la…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Data governance tools are software platforms that help organizations catalog, secure,...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Executive Verdict: Organization vs. TechnologyData mesh vs. data fabric hinges on...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Regulations will require new sites to avoid pushing up power prices by building renewable energy plants and minimising water use Get our breaking news email, free app or daily news podcast Planned datacentres around Australia may avoid strict new rules being proposed by Anthony Albanese if they can secure approvals in the coming months, amid growing calls growing for a moratorium. The prime minister is aiming to come to an agreement with national cabinet on federal regulations for datacentres at a meeting on Wednesday. Continue reading...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 14 Star 294 BranchesTags Open more actions menu Latest commit History 135 Commits 135 Commits Folders and files NameName Last commit message Last…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：I use multiple browsers every day, and this free utility fixed one of my biggest annoyances.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI car research, built in Greece Know before you buy. Not after. Researching your next car? KAR checks real listings, safety data and true running costs across Europe, then shows you the few that actually fit. Find My C…

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 1 Star 3 BranchesTags Open more actions menu Latest commit History 10 Commits 10…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A forward deployed engineer (FDE) is a software engineer who embeds directly inside a customer’s team and infrastructure to build, integrate, and run production systems, instead of building a generic product from headquarters. Consultants deliver recommendations. An FDE delivers working code that stays in production. Therefore, the reason this job exists is uncomfortable. MIT’s NANDA […] The post What is a Forward Deployed Engineer? Role, Skills & Salary appeared first on Analytics Vidhya.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and autonomously hacked another company last month. The investigation seeks to determine whether OpenAI's safety practices violated state consumer protection laws and pose a risk to Alabama citizens, the AG's office said in a statement. "This AI lab leak showed that Alabamians' and Americans' worst fears about artificial intelligence are not just theoretical," said Attorney General Steve Marshall. "Our investigation seeks to uncover the facts and address hard truths abo … Read the full story at The Verge.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：My Agent Answers From 0.6% of Its Corpus and Reports It Like a Full Read Retrieval is not the evidence. It is a measurement instrument, and nobody reports its coverage. My portfolio agent holds 1,003 indexed chunks. Whe…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Make an original song in minutes AI Music Generator Describe the sound in your head and create original music. Start free, no music production experience needed. Describe your song Need an idea? Listen before you create…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Open table formats are metadata layers that sit on top of data files in object storage, adding ACID transactions...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：CookWing: AI Recipe Chef - Apps on Google Play CookWing: AI Recipe Chef RedWing Inc. In-app purchases Everyone info 1+ Downloads Everyone Learn more Ever followed an AI-generated recipe exactly, only to wonder halfway t…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Disclosure: These views are my own and do not represent my current or any former employers. Executive summary Email, calendar, meeting, and notification assistants are increasingly presented as a way to begin the day wi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI is making software cheaper to produce. The harder problem is establishing that the software is correct, secure, and safe to deploy. For years, improving developer productivity largely meant reducing the time required…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Cloudflare recently open-sourced Cloudflare OS on GitHub. Cloudflare OS allows enterprise teams to output work artifacts grounded in enterprise knowledge, know-how, and provisioned connectors, automate repetitive workfl…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21410v1 Announce Type: new Abstract: Robots are increasingly entering everyday environments where privacy is shaped not only by data practices, but also by spatial, bodily, social, and relational boundaries. Their embodied capabilities allow them to reshape these boundaries through situated action, challenging privacy framings centered on data flows, interface settings, or one-time consent. Prior work has examined robot privacy through sensing, data collection, telepresence, transparency, consent, bystander awareness, and multi-stakeholder governance. Building on this work, we propose embodied boundary privacy as a capability-by-context framing for examining how physically present robots may reshape privacy boundaries in situated interaction. Specifically, this framing organizes privacy risks across seven robot capabilities and five deployment contexts, asking how embodied capabilities enable boundary crossings and how situated contexts shape who is affected, how these crossings are interpreted, and when they become contested. We use this perspective to outline design and research implications for embodied privacy mechanisms, including boundary checkpoints, viewpoint-aware sensing control, remote-presence disclosure, object- and body-level access rules, constraints on socially persuasive privacy influence, and local interruption rights. We encourage HRI research, design, and governance to treat robot movement, orientation, proximity, object access, remote presence, and social expression as privacy-relevant actions whose meaning depends on context.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21407v1 Announce Type: new Abstract: Vision-language-action (VLA) models face a crucial tradeoff between their task success rate and the policy-call frequency. Executing a single action per inference ($N=1$) enables accurate robot control but comes at the cost of huge compute time overheads, making real-time implementation infeasible. On the other hand, executing longer action horizons before replanning ($N\gg1$) reduces compute complexity, but inevitably degrades the system's success rate. In order to improve the VLA accuracy-complexity tradeoff, this paper investigates Mamba's selective state-space modeling as an alternative to causal self-attention within the action expert of the popular SmolVLA model, widely used as a reference model for its highly accurate yet low complexity nature. We evaluate both the Mamba- and Transformer-based experts on the widely-adopted LIBERO benchmark suites across three execution horizons $N\!\in\!\{1,25,50\}$, respectively corresponding to high, moderate and low compute complexities. Our results remarkably show that the advantage of the Mamba expert increases with the execution horizon, indicating significant success retention under long execution horizons $N = 50$ and $N = 25$. When $N = 50$ actions are executed before replanning (i.e., corresponding to feasible real-time deployment), the Mamba expert outperforms the Transformer baseline by $7.8\%$. In addition, when $N = 25$ actions are executed before replanning, our Mamba expert outperforms the Transformer baseline by $3.7\%$. Finally, under per-action replanning ($N=1$), our Mamba variant matches the Transformer-based mean success rate while significantly reducing the overall model parameter complexity by $24\%$ thanks to Mamba's compute-efficient nature.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21395v1 Announce Type: new Abstract: NoMaD [31] is a learned vision-navigation policy that unifies goal-conditioned navigation and exploration in a single goal-masked diffusion policy. In an unseen environment, however - where neither a goal image nor a topological map is available - it can only explore undirectedly, wandering without global awareness. We present ODG-NoMaD, which gives NoMaD's exploration mode a global sense of where to proceed, without retraining the policy. An overhead depth camera is used once on deployment to build an occupancy map and plan a global path, which is segmented to yield a desired heading; a per-frame traversability map from the robot's onboard depth then refines this into a collision-free direction. The gradient of a cosine direction cost is injected into the final denoising steps, rotating sampled trajectories toward this direction while preserving the multimodality of exploration. In simulated office environments with and without random obstacles, ODG-NoMaD reduces the residual distance to the target by up to an order of magnitude over unguided exploration, outperforms the point-goal cost guidance of NaviDiffusor [37], and is the only configuration that remains collision-free on every trial.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21425v1 Announce Type: new Abstract: Video generation is central to AI-powered content creation. Aligning generated videos with human preferences is a key criterion for evaluating generation quality. Despite significant progress in visual quality, three key challenges remain. First, the reliability of reward signals is constrained by the quality of human preference data, which is often affected by subjective noise and bias. Second, standard scalar reward models collapse multi-aspect human preferences into a single value, leading to the loss of dynamic trade-offs across multiple preference dimensions. Third, in policy optimization, the widely adopted KL divergence imposes primarily local constraints and may fail to capture the global structure of human preferences. To address these challenges, we propose a unified preference-aware learning framework for video generation. First, we introduce elite-guided filtering to calibrate preference data and construct reliable supervision for reward model training. We then model video quality as a multidimensional reward distribution to capture the uncertainty inherent in human preferences, and use the Wasserstein distance to align the learned reward distribution with the empirical human preference distribution. Finally, we introduce Wasserstein-based distributional alignment into GRPO, guiding policy optimization to better match the global structure of human preferences over videos. Experiments on reward modeling and video generation demonstrate that our approach improves the reliability of reward signals and the perceptual consistency of generated videos. Our code is available at https://github.com/alignhs26/ahs.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.21363v1 Announce Type: new Abstract: A protocol is presented for recording the governance decisions of automated AI runtimes. When a runtime releases, blocks, defers, redacts, or escalates an individual output, AIREP records that decision as a single signed object that any party can check offline, independent of the runtime that produced it. A record carries the decision as one of a closed set of verbs under a stated policy basis, references its input, output, and evidence by hash rather than by value, and declares both what its evidence covers and what it does not. Records form a SHA-256 hash chain that binds each record to its position, so that tampering and gaps are detectable by recomputation. Vendor-, model-, and domain-specific content is confined to a single optional namespace, and a mechanical neutrality test keeps the shared format free of it. A reference implementation and a two-language conformance kit are described. Some implementation issues are considered, and problems such as alignment of the canonical form across implementations, freshness witnesses, and multi-runtime chains are exposed. The format is offered for adoption by any AI runtime that records governance decisions.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：May 13, 2026 | AI and product innovation Thomson Reuters Standard for High Stakes AI As AI moves from experimentation into everyday professional use, a higher standard is required. Not all AI is used the same way, and i…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Bulgaria’s State Agency for National Security (DANS) said it located and neutralized a powerful jammer that was suppressing GPS frequencies across Sofia, including at Sofia Airport (SOF), in a joint operation with the C…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Alabama Attorney General Steve Marshall launched an investigation into OpenAI’s security procedures after one of its AI agents escaped a testing environment and hacked AI firm Hugging Face in July. OpenAI now faces a su…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Claude Desktop can now be configured to work with Ollama as a third-party gateway provider, making it possible to use open models in Claude.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：When cloud computing was a new, cool buzzword thrown around that no one understood, a shortcut was suggested whether it is the right solution: In any sentence, replace “in the cloud” with “on another person’s computer”.…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Verify 837P claims against clinical evidence Product identity PrismClaim is Zero-trust 837P professional claim verification middleware. Insight IT Solutions LLC (Insight ITS) makes it. Category: Research — 837P claim ve…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Kodamai, an enterprise AI startup, is addressing the growing concerns around the explainability and governance of AI systems by applying mathematically grounded theories.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Choosing between relational and non-relational databases is one of the most consequential...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (ARD) standard to enable cross-environment discovery and governance at scale.