# Labs Published articles for Labs. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## 0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP DevFeed: [0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP]() Original publisher: [Read original article]() Author: Michal Sutter Published: 2026-11-09T07:55:18Z Content type: news Language: en Sources: [MarkTechPost]() Topics: [Agent Harness](), [ai code review](), [Ghidra](), [MSP MCP]() Tags: [agentic-ai](), [ai](), [ai-security](), [ai-shorts](), [applications](), [artificial-intelligence](), [browser](), [cli](), [code](), [code-review](), [console](), [context-engineering](), [editors-pick](), [engineering](), [for-devs](), [harness](), [headless](), [labs](), [language-model](), [large-language-model](), [machine-learning](), [mcp](), [mcp-server](), [model](), [new-releases](), [open](), [open-source](), [pentesting](), [reverse](), [reverse-engineering](), [security](), [software-engineering](), [staff](), [tech-news](), [technology](), [web]() ### AI overview 0 is a free, open-source AI security harness that runs locally through a browser console, CLI, or MCP server; users bring their own model provider, where inference runs. It supports security workflows across web targets, source code, packages, binaries, and kernels. Its agentic scans plan and test hypotheses, filter findings, then use a separate session to re-exercise candidates before reporting evidence in formats including SARIF and JSON. Compiled targets use the separate 0verse engine, which wraps Ghidra, angr, and AFL++. The project reports 93/95 on XBOW web CTFs in one grouping, but scores are self-reported and not pass@1; its black-box-only union score is 81/104, with a 2026 cold run at 45/104. The excerpt also lists more than 30 merged Linux kernel 0-days and several library CVEs. The harness is a research preview, licensed MIT or Apache-2.0, and does not require a GPU. ### Source excerpt 0sec Labs has open-sourced 0, an AI security harness for code review, pentesting, reverse engineering and fixes. It runs locally through a browser console, a headless CLI and an MCP server, with your own model provider. The post 0sec Labs Open-Sources 0, an AI Security Harness With Web UI, CLI and MCP appeared first on MarkTechPost. ## OpenAI released a new cybersecurity model. Is that enough? DevFeed: [OpenAI released a new cybersecurity model. Is that enough?]() Original publisher: [Read original article]() Author: Tim Fernholz Published: 2026-11-05T19:06:12Z Content type: news Language: en Sources: [TechCrunch | AI News & Artificial Intelligence]() Topics: [Cybersecurity](), [Hacking](), [OpenAI](), [known exploitable vulnerabilities]() Tags: [about](), [advanced](), [advanced-security](), [ai](), [ai-labs](), [ai-model](), [ai-models](), [allows](), [alpha](), [also](), [based](), [better](), [comes](), [cybersecurity](), [digital](), [infrastructure](), [labs](), [model](), [openai](), [work]() ### AI overview An OpenAI model helped identify a severe Ubuntu-related vulnerability that Debian patched; there is no known evidence it was exploited. The discovery illustrates how frontier models can uncover hard-to-find flaws, while raising questions about defenders' capacity and access. OpenAI announced ChatGPT Cyber for top-tier Daybreak Red users and said the model helped find 948 potential Linux kernel issues and 81 novel Firefox vulnerabilities. Daybreak Blue access may have been restricted, and the excerpt contrasts that limit with attackers' access to open-weight models. OpenAI also announced $1 billion for cybersecurity professionals, but the excerpt questions whether its effort and the program's reach are sufficient: only thousands participate, and a Linux bug hunt reportedly cost $1.2 million. ### Source excerpt OpenAI's newest cybersecurity model comes out as AI labs face scrutiny of their work to protect digital infrastructure. ## University AI's biggest challenge? Scaling research without losing control DevFeed: [University AI's biggest challenge? Scaling research without losing control]() Original publisher: [Read original article]() Author: Ryan Stevens Published: 2026-11-04T17:27:48Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [Sovereign AI](), [AI Infrastructure](), [digital sovereignty](), [ai security](), [AI for science]() Tags: [advanced-micro-devices](), [ai](), [ai-cybersecurity](), [ai-cybersecurity-and-resilience-summit-2026](), [ai-cybersecurity-resilience-summit-2026](), [ai-governance](), [ai-projects](), [ai-technology](), [ai-threat-strategies](), [ai-trust-and-resilience](), [aicybersecurityandresiliencesummit](), [amd](), [automated-policy-enforcement](), [casey-bryan](), [challenge](), [compute](), [control](), [cube-event-coverage](), [data](), [education](), [elastic](), [krista-case](), [labs](), [learning](), [models](), [news](), [nist-frameworks](), [nvidia](), [research](), [scaling](), [science](), [secure-ai-foundations](), [security](), [security-infrastructure](), [sovereign-ai](), [texas-a-m-engineering-experiment-station](), [thecube](), [university](), [vince-kellen](), [work]() ### AI overview Texas A&M is building IGNITE, a state-funded AI and high-performance computing platform led by the Texas A&M Engineering Experiment Station, to give researchers more capacity while retaining control over data, infrastructure, models and governance. Dell is building it with AMD GPUs in an Equinix Dallas data center. Texas A&M CIO Vince Kellen says controlled, on-premises resources can reduce security risks and avoid neocloud costs he estimates at 5 to 10 times as much. TEES follows NIST 800-53 and 800-171 and Texas Administrative Code 202, and aims for CMMC Level 2 readiness. Its implementation lesson is to establish security requirements and architecture early, while making inherited controls seamless for researchers. ### Source excerpt The push for sovereign AI is reaching university research labs, where control over data, models and compute now shapes what science gets done. Universities sit at an unusual crossroads in the current technological shift, as their work spans open education and tightly controlled federal research. Learning sits at the heart of both missions, making AI [...] The post University AI's biggest challenge? Scaling research without losing control appeared first on SiliconANGLE. ## Fivetran Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Data Integration Tools | Blog | Fivetran DevFeed: [Fivetran Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Data Integration Tools | Blog | Fivetran]() Original publisher: [Read original article]() Author: Anjan Kundavaram Published: 2026-11-04T16:15:01Z Content type: news Language: en Sources: [Fivetran Blog]() Topics: [Data Infrastructure](), [AI-Ready Data](), [semantic-layer](), [AI Integration Strategies](), [DataOps](), [databricks]() Tags: [2](), [2026](), [3](), [ai](), [blog](), [data](), [data-integration](), [dbt](), [enterprise](), [enterprise-ai](), [fivetran](), [foundation](), [gartner](), [gartner-magic-quadranttm](), [integration](), [labs](), [leader](), [magic](), [tools](), [trusted-data]() ### AI overview Fivetran says it was named a Leader in the 2026 Gartner Magic Quadrant for Data Integration Tools for the seventh consecutive year, with improved positions in Ability to Execute and Completeness of Vision. The article presents the June 2026 merger with dbt Labs as a way to connect data movement, transformation, business definitions, activation, and context for analytics and AI. It highlights 750+ managed connectors, dbt's framework for tested and documented transformations, semantic definitions, a Context Layer for AI, and dbt State's change awareness to avoid unnecessary processing. It also describes AI-assisted tools for dbt modeling and connector development, alongside open standards and customer choice of platforms. The stated aims are trusted, reusable data, lower processing costs, and flexibility as AI tools change; these are company claims and goals, not measured outcomes in the excerpt. ### Source excerpt Fivetran + dbt Labs is the trusted data foundation for enterprise AI. ## The eBee Quest Lands at KubeCon America 2026 DevFeed: [The eBee Quest Lands at KubeCon America 2026]() Original publisher: [Read original article]() Author: Raphaël Pinson Published: 2026-11-04T14:02:24Z Content type: news Language: en Sources: [Isovalent]() Topics: [Cloud Networking](), [Cloud & Application Security](), [observability](), [Cilium](), [eBPF](), [Bootcamp](), [developer-relations]() Tags: [2026](), [byod](), [catalog](), [cilium](), [cloud-native](), [cloudnativecon](), [competition](), [ebpf](), [events](), [experience](), [experts](), [explore](), [exploring](), [hubble](), [isovalent](), [kubecon](), [kubernetes-networking](), [labs](), [leaderboard](), [load-balancer](), [map](), [mesh-networking](), [networking](), [online](), [quest](), [runtime-security](), [security](), [tetragon](), [website]() ### AI overview eBee Quest offers hands-on Cloud Native labs through Isovalent Universe, covering Cilium networking, observability, security, and more. Participants can join in person on November 9, 2026, from 6-9 p.m. at the Hilton Salt Lake City Center (registration required; space is limited), continue at the Isovalent booth's BYOD kiosk during KubeCon, or join online November 9-24. All three formats provide access to the public lab catalog; participants can explore at their own pace and get help from Isovalent experts at the in-person event or booth. The top three leaderboard participants receive prizes. ### Source excerpt When labs turned into a map, a leaderboard, and a little friendly competition, the eBee Quest was born. A hands-on adventure through Cloud Native networking and security--at events, online, and beyond. Pick your path, climb the leaderboard, and keep the quest going wherever you are. ## Proxmox Has a New Shared Storage Option. What Does It Mean for Home Labs in 2026? DevFeed: [Proxmox Has a New Shared Storage Option. What Does It Mean for Home Labs in 2026?]() Original publisher: [Read original article]() Author: Brandon Lee Published: 2026-11-04T13:06:46Z Content type: article Language: en Sources: [Virtualization Howto]() Topics: [virtualization](), [Proxmox](), [Homelab]() Tags: [2026](), [api](), [ceph](), [cluster](), [clusters](), [community](), [compute](), [enterprise](), [ethernet](), [experiment](), [exploring](), [failover](), [home](), [home-lab](), [home-server](), [labs](), [proxmox](), [storage](), [virtualization]() ### AI overview Lightbits SDS provides Proxmox VE with networked block storage over NVMe/TCP. Its storage software pools SSDs, provisions volumes and can replicate data; Proxmox's plugin requests volumes through the Lightbits API and connects hosts to them. Compute and storage clusters can scale independently, and shared access supports live migration and HA without moving VM data during failover. The integration also supports disk resizing, snapshots and rollback. The article describes creating a Lightbits volume, attaching it to Proxmox nodes, forming an LVM volume group and adding it through the Proxmox interface. The plugin is free and open source with best-effort GitHub support, while the SDS backend is commercial, with a trial available by application. Published deployment specifications--32 CPU cores, at least 128 GB RAM, six or more data NVMe drives and 25 GbE or faster per instance--are likely beyond many home labs. The author presents it as an option to trial in a test environment and as evidence of growing vendor support for Proxmox. ### Source excerpt The 2026 year for Proxmox has definitely been one for a lot of advancements across the board. However, it seems like it has been the year of storage for Proxmox... The post Proxmox Has a New Shared Storage Option. What Does It Mean for Home Labs in 2026? appeared first on Virtualization Howto. ## PagerDuty debuts Paige AI agent with renamed PD Reliability Platform and PD Labs DevFeed: [PagerDuty debuts Paige AI agent with renamed PD Reliability Platform and PD Labs]() Original publisher: [Read original article]() Author: Duncan Riley Published: 2026-11-03T13:00:13Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [AI Agent](), [Production Engineering](), [Artificial Intelligence](), [engineering-leadership]() Tags: [agent](), [agentic-ai](), [ai](), [ai-agent](), [ai-agents](), [artificial-intelligence](), [company](), [deep-investigation](), [engineering](), [escalation-policies](), [idc](), [inc](), [incident-management](), [incident-response](), [intelligence](), [international-data-corp](), [introduced](), [john-dilullo](), [kulvir-gahunia](), [labs](), [management](), [microsoft](), [microsoft-teams](), [news](), [on-call](), [operations](), [pagerduty](), [pagerduty-operations-cloud](), [paige](), [pd](), [pd-labs](), [pd-reliability-platform](), [pd-reliability-platform-console](), [platform](), [post-incident-review](), [reliability](), [scribe-agent](), [site-reliability-engineering](), [slack](), [snow-tempest](), [sre-agent](), [sre-workbench](), [steve-miller](), [telus](), [the-latest](), [topology](), [with]() ### AI overview PagerDuty introduced Paige, a generally available SRE agent that can join escalation policies as a virtual responder. Teams set its permissions: it can triage and recommend fixes with evidence and confidence levels, while remediation may require human approval; autonomous action is limited to explicitly authorized, well-understood, low-risk cases. Paige can use shared memory from resolved incidents, and PagerDuty says it outperformed leading AI coding agents in diagnosing simulated IT incidents. The renamed PD Reliability Platform provides operational context and a console for incidents, on-call rotations, agents and suggested fixes, with incident workflows also available in Slack and Microsoft Teams. PD Labs offers early access to three experiments: Topology maps services without a configuration management database, Deep Investigation tests multiple root-cause hypotheses, and SRE Workbench lets people and agents investigate together while saving findings to shared memory. Paige and the platform are generally available; SRE Workbench is open to try. Pricing is tied to operational scale, with included event, action and seat allotments and optional flexible credits. ### Source excerpt Operations management software company PagerDuty Inc. today introduced Paige, an artificial intelligence agent for site reliability engineering that is built to work as a member of operations and engineering teams. Paige runs on the company's flagship product, which as of today is called the PD Reliability Platform. Alongside both, PagerDuty opened PD Labs to put [...] The post PagerDuty debuts Paige AI agent with renamed PD Reliability Platform and PD Labs appeared first on SiliconANGLE. ## Help Me Make the BGP Labs Even Better DevFeed: [Help Me Make the BGP Labs Even Better]() Original publisher: [Read original article]() Published: 2026-11-03T07:24:00Z Content type: opinion Language: en Sources: [ipSpace]() Topics: [BGP](), [Documentation](), [Claude](), [Open Source]() Tags: [basics](), [bgp](), [blog-posts](), [claude](), [diversity](), [documentation](), [labs](), [links](), [reading]() ### AI overview The author is adding "Further Reading" sections to BGP lab exercises and asks readers to contribute relevant vendor documentation and blog links through pull requests or issues. Claude found related blog posts readily, but precise vendor documentation links were harder to identify: many vendor docs use changeable auto-generated anchors and bury practical configuration details, such as BGP neighbor commands, in lengthy explanations. The author also wants more varied entry-level BGP resources. Readers can edit the relevant lab's Further Reading section via its GitHub page and submit a PR. The labs are free and open source, with contributor recognition but no budget for rewards. ### Source excerpt I decided to add "Further Reading" sections to BGP lab exercises, containing links to vendor documentation and useful related blog posts. I naively expected to offload the job to Claude, commit the results, and move on. The "related blog posts" were a piece of cake; precise links to relevant vendor documentation turned out to be more of a challenge. TL&DR: I would love to get your suggestions for further reading as PRs in the BGP Labs repo. Apart from FRRouting, the vendor documentation is mostly generated from whatever internal system and uses auto-generated anchors that can change at any moment - somewhat "suboptimal" for what I wanted to do. Read more ... ## AI coding agents are installing MCP servers that will never be patched DevFeed: [AI coding agents are installing MCP servers that will never be patched]() Original publisher: [Read original article]() Author: Mirko Zorz Published: 2026-11-03T05:45:53Z Content type: news Language: en Sources: [Help Net Security]() Topics: [agentic-coding](), [Agent Harness](), [AI-assisted coding](), [software dark matter](), [ecosystem-security](), [trust]() Tags: [agent](), [agents](), [ai](), [ai-coding](), [ai-coding-agent](), [ai-coding-agents](), [anthropic](), [claude-code](), [coding](), [coding-agent](), [coding-agents](), [cursor](), [cybersecurity](), [deprecated](), [developer](), [github](), [glow](), [labs](), [machines](), [mcp](), [mcp-servers](), [news](), [openai](), [package](), [patched](), [research](), [servers](), [software-development]() ### AI overview Glow Labs reports that coding agents installed or suggested deprecated MCP servers in the sessions it examined; in 98% of those cases, agents appeared to select package names from training data. The pattern spanned several coding tools and models. Four high-severity vulnerabilities were found in the reference servers, including a Puppeteer server flaw that can turn browser access into arbitrary command execution through prompt injection. The archived repository will not be patched, and npm deprecation warnings would not prevent npx installation. The excerpt says common controls can miss these servers because npx installs leave no dependency manifest or registered application, and one agent installed a package despite finding its deprecated status. Suggested steps include replacing deprecated servers with service-owner versions where available, approving one server per service, and including npm deprecation status in approval criteria. Harness warnings or refusal and security checks through pre-execution hooks are also proposed; coverage may vary across harnesses. ### Source excerpt When a developer tells an AI coding agent to "set up a GitHub MCP," the agent has to pick a package. New research from Glow Labs documents sessions where it picked one out of an archived repository that will never be patched again. Source: Glow Security Reviewing real AI coding session transcripts, Glow Labs found deprecated MCP servers landing on developer machines, a pattern it calls MCPhantom. In 98% of those sessions, the agent appears ... More -> The post AI coding agents are installing MCP servers that will never be patched appeared first on Help Net Security. ## How Frontier AI Labs Acquire Visual Training Data for Multimodal Models DevFeed: [How Frontier AI Labs Acquire Visual Training Data for Multimodal Models]() Original publisher: [Read original article]() Author: Dikshant Shah Published: 2026-11-02T12:33:36Z Content type: article Language: en Sources: [Roboflow]() Topics: [AI-Ready Data](), [Data Quality](), [Data pipelines](), [Frontier AI](), [Open Source Models & Datasets](), [data augmentation]() Tags: [1-5](), [17](), [ai](), [ai-labs](), [collection](), [data](), [datasets](), [frontier](), [frontier-ai](), [generation](), [labs](), [licensing](), [models](), [multimodal](), [multimodal-models](), [open](), [roboflow-annotate](), [synthetic](), [training](), [training-data](), [web]() ### AI overview Frontier multimodal training relies on combining data sources because each provides different scale, rights, supervision, or real-world coverage. Web crawls yield large image-text collections, but require extensive processing: deduplication, CLIP similarity filtering, safety and quality checks, and packaging. Public datasets add specialized labels for tasks such as detection, segmentation, OCR, video understanding, and instruction following. Licensed partnerships provide curated content with clearer rights and provenance; human collection captures activities and interactions ordinary crawls may miss. Synthetic data can supply precise labels from simulations, generate annotations for existing media with vision-language models, or create variations in conditions, but may include unrealistic details or physical behavior. The text identifies high costs, privacy, copyright, annotation accuracy, and bias as additional challenges. It describes Roboflow Labs as supporting task-specific collection, annotation, and model failure analysis to identify data gaps. ### Source excerpt Get visual training data from Roboflow Labs, web crawls, open datasets, licensing, human collection, and synthetic generation. ## netlab: Testing Network Protocol Implementations DevFeed: [netlab: Testing Network Protocol Implementations]() Original publisher: [Read original article]() Published: 2026-11-02T07:18:00Z Content type: tutorial Language: en Sources: [ipSpace]() Topics: [Protocol (disambiguation)](), [BGP](), [developer setup]() Tags: [bgp](), [cisco](), [configuration](), [container](), [containers](), [eigrp](), [implementation](), [infrastructure](), [interoperability](), [ios](), [ios-xe](), [lab](), [labs](), [netlab](), [network-device](), [repository](), [server](), [source-code](), [test](), [testing]() ### AI overview The excerpt reports that netlab worked for testing OpenEIGRP-Cisco IOS interoperability and gives setup guidance for similar protocol tests. It recommends container labs via the `clab` provider for faster startup than virtual machines; IOL is suggested for IOS/XE, with IOLL2 faster but not guaranteed to support all features. For Nexus OS, it suggests obtaining the latest registered download and using vrnetlab to make a container. Labs can use one topology per directory or multiple topology files, with filenames specified to `netlab create` or `netlab up` in the latter case; defaults can be project-wide. The author recommends putting FRR settings in defaults and using wildcard groups to assign device types. Netlab's EIGRP support is described as minimal and potentially insufficient, while it can handle other configuration such as addressing, OSPF, BGP, and static routes. Custom Jinja2 templates are suggested for EIGRP configuration, with possible later work toward generic support or OpenEIGRP integration. ### Source excerpt Donnie Savage decided to use netlab to test OpenEIGRP-Cisco IOS interoperability (TL&DR: it works and the source code is in Donnie's EIGRP repository). He asked me for a few hints before setting up his test server. This is what I sent him; you might find it useful if you ever decide to use netlab to test a new network device/protocol implementation. Read more ... ## Self-Building Labs DevFeed: [Self-Building Labs]() Original publisher: [Read original article]() Author: Jiaru Bai, Yuchi Zhao, Han Hao, Elia Savino, Miroslav Bogdanovic, Derk H. W. ten Klooster, Simone Pilon, Timothy No\\"el, Yang Cao, Varinia Bernales, Al\\'an Aspuru-Guzik Published: 2026-11-02T05:00:00Z Content type: article Language: en Sources: [arXiv: Artificial Intelligence]() Topics: [AI for science](), [Loop Engineering](), [lerobot]() Tags: [agents](), [ai](), [automation](), [building](), [cs-ai](), [cs-ma](), [cs-ro](), [designs](), [digital-twin](), [discovery](), [engineering](), [execution](), [experiment](), [flexibility](), [flexible](), [laboratory](), [labs](), [layout](), [objectives](), [optimization](), [programming](), [quantum](), [real-world]() ### AI overview Self-building laboratories (SBLs) aim to remove the manual engineering bottleneck that limits existing self-driving labs to procedures they were built to run. Given a high-level scientific goal, SBL starts from an empty room or an existing lab and builds missing capabilities, including the layout, digital twin, robot skills, and experimental workflows. The authors report operation across different robots and setups, from a single workstation to multi-robot laboratories, and validate the end-to-end system with a real-world quantum-dot synthesis experiment. The stated goal is to shift researchers from configuring automation to specifying scientific objectives. ### Source excerpt arXiv:2610.23826v2 Announce Type: replace Abstract: Self-driving laboratories (SDLs) accelerate scientific discovery by automating experimental execution and optimization. AI agents can increasingly propose new experiments, but existing SDLs can only run the procedures they were built for. Adapting them to a new experiment still requires extensive manual engineering, which makes laboratory flexibility the bottleneck for scaling discovery. We introduce the self-building laboratory (SBL), which designs, configures, and operates its own laboratory setup given a high-level scientific goal. SBL starts from whatever already exists, from an empty room to a working SDL, and builds the missing capabilities: the lab layout, its digital twin, robot skills, and experimental workflows. We demonstrate the system working across different robots and setups, scaling from a single workstation to laboratories with several robots working together. We validate SBL's end-to-end capabilities through a real-world quantum-dot synthesis experiment. By shifting human researchers from manually configuring and programming device automation to specifying scientific objectives, SBL makes scientific automation more accessible, flexible, and scalable. Project website: https://self-building-labs.github.io/ ## Xbox Manager: AI Already Being Used In Xbox Game Development - And Throughout the Game Industry DevFeed: [Xbox Manager: AI Already Being Used In Xbox Game Development - And Throughout the Game Industry]() Original publisher: [Read original article]() Author: EditorDavid Published: 2026-11-01T04:34:00Z Content type: news Language: en Sources: [Slashdot]() Topics: [Machine learning](), [Unity](), [Xbox]() Tags: [activision](), [ai](), [ai-development](), [ai-use](), [capcom](), [developers](), [development](), [epic-games](), [fortnite](), [game-development](), [game-studios](), [generative](), [generative-ai](), [independent](), [industry](), [labor](), [labs](), [microsoft](), [sega](), [xbox]() ### AI overview Xbox strategy manager Brandon Stirrup claimed Xbox already uses AI and that studios denying its use are "pretending," but the excerpt does not establish how widely AI is used across the industry. It names major developers that have used or pledged to use AI, alongside independent studios that oppose generative AI, and notes that Xbox Labs' announcement implied--but did not confirm--AI use. Players and developers are divided: some accept AI, while others cite environmental costs, labor concerns or aesthetic preferences. Responses include tools that highlight Steam's AI disclosures and grassroots AI-free labels. The excerpt adds that some people accept AI for code generation while opposing other uses. ### Source excerpt Should generative AI be used for videogame development? Brandon Stirrup, a strategy manager at Xbox, claims Xbox is already using AI, reports Engadget. And he also says that those who say they aren't are merely "pretending." Stirrup deactivated his social media account shortly after (though his posts have been archived elsewhere), igniting conversations about what role generative AI actually has or should have in game development. In some ways, it would be unsurprising to learn that Xbox is using AI to the extent that Stirrup implies. Xbox recently announced the formation of Xbox Labs at least in part as a response to a rising trend of AI-coded game ports; the announcement heavily implied that the new team would use AI as well but didn't say it outright. Xbox owner Microsoft is also a major player in AI development... Developers including Capcom, Square Enix, Sega, Nexon and Activision have all either used AI in their games or pledged to do so. Fortnite developer Epic Games has been particularly up-front about its AI use, and CEO Tim Sweeney has aggressively promoted it on social media... On the other hand, there are large pockets of the game industry vocally opposed to generative AI. Notably, these tend to be smaller, independent studios without shareholders to impress by touting the cost-savings of AI. These studios include Tunic publisher Finji, Stardew Valley developer ConcernedApe and Clickolding developer Strange Scaffold, among many more. Due to the sheer number and variety of game studios, it's impossible to say just how much of the industry actually uses AI at this point, but claims that "everyone" is using it are clearly false. There's a similar divide among players about whether generative AI should be embraced or avoided at all costs. While some simply accept AI as part of games going forward, others have pledged to avoid games that use the technology outright due to its environmental costs, labor issues or pure aesthetic preference. That's led to the po ## Vercel Labs Open-Sources agent-desktop for Agent Computer Use DevFeed: [Vercel Labs Open-Sources agent-desktop for Agent Computer Use]() Original publisher: [Read original article]() Author: Michal Sutter Published: 2026-10-31T10:10:28Z Content type: news Language: en Sources: [MarkTechPost]() Topics: [computer-use](), [Command-line interface]() Tags: [accessibility](), [agent](), [agent-browser](), [agentic-ai](), [agents](), [ai](), [ai-agent](), [ai-agents](), [ai-shorts](), [apache](), [apache-2-0](), [applications](), [artificial-intelligence](), [cli](), [computer](), [computer-use](), [desktop](), [editors-pick](), [for-devs](), [labs](), [linux](), [macos](), [new-releases](), [open-source](), [os](), [python](), [refs](), [rust](), [software-engineering](), [staff](), [tech-news](), [technology](), [vercel](), [windows]() ### AI overview Vercel Labs' agent-desktop is an Apache-2.0 Rust CLI and C library that lets shell-capable agents inspect and operate native apps through macOS Accessibility, Windows UI Automation, or Linux AT-SPI. It returns JSON snapshots with qualified refs; if the UI changes and a ref becomes stale or ambiguous, the agent must take a fresh snapshot. Ref actions use the accessibility API without moving the pointer or taking focus, and can be run headed when physical input is needed. Skeleton snapshots and drill-down can reduce token use in dense apps; the reported 78%-96% reductions are self-reported, with no independent computer-use benchmark yet. Apps without accessibility trees remain unsupported. ### Source excerpt Vercel Labs released agent-desktop, an Apache-2.0 Rust CLI that gives any AI agent computer use on macOS, Windows and Linux by reading OS accessibility trees and acting on stable refs instead of pixels. The post Vercel Labs Open-Sources agent-desktop for Agent Computer Use appeared first on MarkTechPost. ## Hackers steal $6.3B from Binance in biggest-ever crypto heist DevFeed: [Hackers steal $6.3B from Binance in biggest-ever crypto heist]() Original publisher: [Read original article]() Author: Maria Deutscher Published: 2026-10-30T21:19:05Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [Cryptocurrency](), [Cybercrime](), [Hacking](), [Binance](), [Blockchain](), [Security]() Tags: [about](), [assets](), [binance](), [blockchain](), [crypto](), [crypto-heist](), [crypto-theft](), [crypto-wallet](), [cryptocurrency](), [cyberattack](), [cyberattacks](), [digital](), [digital-asset](), [digital-assets](), [eip-7702](), [ethereum](), [exchange](), [hack](), [hackers](), [hacking](), [heist](), [inc](), [intelligence](), [korean](), [labs](), [major](), [news](), [security](), [the-latest](), [top-story-4]() ### AI overview The excerpt reports that hackers stole about $6.3 billion in digital assets from Binance by compromising several wallets, including one used to process Ethereum transactions. TRM Labs attributes the attack to the North Korean state-backed group TraderTraitor, which reportedly used a malicious smart contract exploiting Ethereum's EIP-7702 feature; it remains unclear how the attackers obtained the required authorization. Binance says an engineer's laptop was compromised and that the malware erased tools and activity logs. Stablecoin issuers froze most of the roughly 40% of stolen funds represented by their tokens, while Binance set aside more than $6.34 billion for user losses. Binance suspended deposits and withdrawals after discovery; deposits resumed, but withdrawals remained offline, with reactivation planned for Monday. ### Source excerpt Hackers have stolen about $6.3 billion worth of digital assets from Binance, a major cryptocurrency exchange operator. The heist is more than four times bigger than the previous largest crypto theft. TRM Labs Inc., a venture-backed blockchain intelligence startup, believes that both cyberattacks were carried out by a North Korean state-backed hacking group tracked as [...] The post Hackers steal $6.3B from Binance in biggest-ever crypto heist appeared first on SiliconANGLE. ## Shengkun Ye's people search runs at $0.0024 a lead DevFeed: [Shengkun Ye's people search runs at $0.0024 a lead]() Original publisher: [Read original article]() Author: Jev Daily Published: 2026-10-29T17:00:00Z Content type: news Language: en Sources: [Jev Daily]() Topics: [Open Source]() Tags: [apollo](), [built-with-it](), [cowork](), [data](), [diogo-almeida](), [enrichment](), [evals](), [failure](), [half](), [half-life](), [jev](), [labs](), [lead](), [life](), [markup](), [open](), [open-source](), [people](), [providers](), [search](), [the-case-against](), [writing-criteria]() ### AI overview Shengkun Ye's open-source Jev-powered people search runs leads through Apollo, Clay, People Data Labs, Hunter, ContactOut and Ploid in a waterfall, then pays for enrichment only for leads Jev keeps. Ye quotes a cost of $0.0024 per lead with no markup, compared with the $2,000 subscriptions it is intended to replace. ### Source excerpt A second open source people search on Jev landed, this one quoting $0.0024 per lead by waterfalling six data providers and paying for enrichment only on the... ## Common ground: six new integrations for network, cloud, security, and platform teams DevFeed: [Common ground: six new integrations for network, cloud, security, and platform teams]() Original publisher: [Read original article]() Author: Rich Bibby Published: 2026-10-29T13:38:44Z Content type: release Language: en Sources: [NetBox Labs]() Topics: [NetBox](), [Nexus Dashboard](), [Amazon VPC](), [Cloud]() Tags: [2026](), [3](), [account](), [aci](), [advice](), [agents](), [all](), [analysis](), [api](), [blog](), [cloud](), [first](), [integrations](), [labs](), [netbox](), [network](), [platform](), [platform-teams](), [post](), [security](), [teams]() ### AI overview Six NetBox Labs integrations bring external inventory into one reviewed system of record. Cisco Nexus Dashboard, Arista CloudVision, and AWS VPC IPAM are generally available; Palo Alto Panorama, Tenable Nessus, and Kubernetes are in public preview, where support is limited to setup and configuration advice and behavior may change. Integrations read on a schedule and never write back. New or changed findings are staged in NetBox Assurance for approval; imports add and update records but never delete them. Nexus and CloudVision provide fabric inventory and configuration, while AWS VPC IPAM imports pools and allocations, assigning each VPC its own VRF so overlapping address ranges remain distinct. All six run on NetBox Cloud and NetBox Enterprise with NetBox Assurance, with availability varying by plan. ### Source excerpt The post Common ground: six new integrations for network, cloud, security, and platform teams appeared first on NetBox Labs. ## Crux Labs raises over $6M to improve enterprise agents with human judgment DevFeed: [Crux Labs raises over $6M to improve enterprise agents with human judgment]() Original publisher: [Read original article]() Author: Kyt Dotson Published: 2026-10-29T12:00:48Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [agent observability](), [ai alignment](), [human feedback](), [Artificial Intelligence]() Tags: [agent](), [agents](), [ai](), [ai-agents](), [artificial-intelligence](), [can](), [continuous](), [crux-ai](), [deployment](), [enterprise](), [enterprise-ai](), [existing](), [funding](), [human-judgment](), [improvement](), [intelligence](), [julie-kheyfets](), [krishna-kulkarni](), [labs](), [misneach](), [news](), [over](), [raises](), [the-latest](), [with]() ### AI overview Crux Labs launched with more than $6 million in funding led by Benchstrength and Misneach, with participation from Analog Ventures and Pareto Holdings. The company says existing observability tools help people inspect agent traces but teams often manually review only 1% or less, so many failures go unnoticed. Crux uses agents to capture and calibrate employees' expert judgment across millions of interactions, aiming to help teams detect behavior issues sooner and improve agents without relying on tiny samples. The article reports traction with startups and Fortune 500 companies in healthcare, cybersecurity, financial services and other complex industries; it provides no independent performance data. ### Source excerpt Crux Labs, an artificial intelligence platform turning enterprise judgment into continuous agent improvement, launched today with over $6 million in funding. Benchstrength and Misneach led the round, with participation from Analog Ventures and Pareto Holdings. The scale of enterprise AI agents in deployment can range from thousands to millions of user interactions per day. Existing observability [...] The post Crux Labs raises over $6M to improve enterprise agents with human judgment appeared first on SiliconANGLE. ## Preparing for Your Next Certification Could Start with Your Visual Studio Subscription DevFeed: [Preparing for Your Next Certification Could Start with Your Visual Studio Subscription]() Original publisher: [Read original article]() Author: James Rempt Published: 2026-10-28T22:30:00Z Content type: article Language: en Sources: [Visual Studio]() Topics: [Learning](), [Visual Studio Subscriptions](), [Microsoft](), [Pluralsight]() Tags: [academy](), [administration](), [administrator](), [agents](), [ai](), [ai-applications](), [ai-apps](), [ai-powered](), [ai-powered-applications](), [ai-services](), [azure](), [azure-ai](), [business-continuity](), [certification](), [courses](), [labs](), [resources](), [skills](), [subscription](), [visual-studio]() ### AI overview Eligible Visual Studio Subscriptions can include Cloud Academy and Pluralsight training to help prepare for Microsoft certification exams. The excerpt highlights Pluralsight resources aligned with AI-103, Cloud Academy and Pluralsight training for AZ-104, and both providers' AZ-305-aligned resources; earning Azure Solutions Architect Expert also requires Azure Administrator Associate certification. Courses, learning paths, guided labs, practical exercises, and AI-powered learning assistants are described as ways to study and practice. Subscribers whose plans include Azure monthly credits can use eligible services for development practice. Benefit eligibility, access duration, and course selection vary by subscription, and exam fees are separate unless otherwise specified. ### Source excerpt Are you thinking about earning a Microsoft certification to help advance your career, build on your existing skills, or meet new requirements at work? If so, you may already be wondering where to start. Which courses, labs, and hands-on exercises will help you prepare? How much time will it take to find the right resources, [...] The post Preparing for Your Next Certification Could Start with Your Visual Studio Subscription appeared first on Visual Studio Blog. ## De-identification Doesn't End at Deployment: How to Know What Is Safe to Release DevFeed: [De-identification Doesn't End at Deployment: How to Know What Is Safe to Release]() Original publisher: [Read original article]() Author: Veysel Kocaman Published: 2026-10-27T20:31:07Z Content type: article Language: en Sources: [John Snow Labs]() Topics: [Data Quality](), [managing large-scale text data in AI]() Tags: [about](), [alert](), [all](), [allows](), [also](), [audit](), [audits](), [batch](), [business](), [de-identification](), [first](), [hospital](), [john](), [labs](), [note](), [notes](), [post](), [program](), [records](), [release](), [type]() ### AI overview A de-identification pipeline's validation score applies only to the data it was tested on, so each release needs fresh evidence. The article recommends tracking data drift against a frozen, source-specific baseline; screening every document with pinned PHI decision models; and auditing a truly random sample from the screened release to estimate residual PHI with a stated confidence bound. Its example says 300 clean documents support a claim that fewer than 1% of a release contains PHI at 95% confidence, while audits must account for patient clustering and reviewer misses. Models help select and rank documents but do not certify safety, since they may share the pipeline's blind spots. The article describes calibrating drift thresholds to normal corpus variation, treating unavailable signals as unknown, and setting release thresholds to balance leak detection against withholding clean records. For large releases, it recommends separate risk buckets and audits, with claims limited to the batch, pipeline, model version, and threshold assessed; expert determination remains the expert's decision. ### Source excerpt Every de-identification program reaches the same moment. A new batch arrives -- a million notes from a new hospital, a new note type, a year of fresh records. Someone asks:... The post De-identification Doesn't End at Deployment: How to Know What Is Safe to Release appeared first on John Snow Labs. ## The Huntress Tragic Quadrant: Ranking Threats Hitting Businesses Hardest DevFeed: [The Huntress Tragic Quadrant: Ranking Threats Hitting Businesses Hardest]() Original publisher: [Read original article]() Author: Sponsored by Huntress Labs Published: 2026-10-27T14:01:11Z Content type: article Language: en Sources: [BleepingComputer]() Topics: [Business Security](), [Cybercrime](), [credential-based attacks](), [Credential theft](), [microsoft 365](), [ransomware]() Tags: [2-2](), [2025](), [2026](), [about](), [attack](), [claude-artifact](), [clickfix](), [computer-help](), [computer-security](), [computers](), [cybersecurity](), [device-code](), [everyday](), [eviltokens](), [huntress](), [huntress-labs](), [infosec](), [it](), [labs](), [linux](), [mac](), [malware](), [malware-removal](), [microsoft](), [microsoft-365](), [organizations](), [ranking](), [risks](), [security](), [sessions](), [spyware](), [support](), [tech-support](), [technical-support](), [threats](), [tools](), [tragic-quadrant](), [virus](), [virus-removal](), [windows](), [workflows]() ### AI overview Huntress advises organizations to prioritize abuse of remote management tools and Microsoft 365 identities, which it places in the Tragic Quadrant's highest-priority corner. RMM abuse appeared in 45% of endpoint-related incidents it investigated in Q1 2026; attackers use rogue installs for persistent access that resembles admin work. Mailbox manipulation accounted for 24.6% of ITDR signals so far in 2026 and can enable hidden inbox rules and payment redirection. AiTM attacks made up 18.9% of identity threats tracked in 2025, stealing valid Microsoft 365 session tokens and bypassing a fresh MFA prompt. The excerpt places device-code phishing, ClickFix, and AI-platform abuse in other corners: EvilTokens reached 344 organizations in 16 days; ClickFix represented about 2.2% of 2026 Managed EDR signals, nearly 99% high severity; and a FakeAgent campaign reached 29 organizations in two days. Suggested first steps are to review approved remote tools and monitor mailbox-rule changes and unusual session behavior. The excerpt does not provide the full quadrant or detailed mitigation guidance. ### Source excerpt Attackers are increasingly abusing legitimate IT tools, Microsoft 365 sessions, and everyday workflows to compromise businesses without triggering traditional defenses. Huntress Labs ranks the threats hitting organizations hardest, highlighting which attack techniques deserve immediate attention and which remain emerging risks. [...] ## Meta Confirms Lower Quest Sales, Says New VR Headsets Must Deliver "major breakthroughs" DevFeed: [Meta Confirms Lower Quest Sales, Says New VR Headsets Must Deliver "major breakthroughs"]() Original publisher: [Read original article]() Author: Scott Hayden Published: 2026-10-26T13:20:17Z Content type: news Language: en Sources: [Road to VR]() Topics: [immersive web](), [Glasses & AR Tech]() Tags: [ai](), [ai-glasses](), [company](), [earnings](), [fast](), [first](), [glasses](), [headset](), [labs](), [major](), [meta](), [meta-quest-3-news-reviews](), [moving](), [news](), [q3](), [quest](), [reality](), [reality-labs](), [report](), [sales](), [vr](), [xr-industry-news]() ### AI overview Meta reported Q3 2026 Reality Labs revenue of $443 million, down 6% due to lower Quest sales, partly offset by strong AI glasses growth. Mark Zuckerberg said Meta will release new VR devices only when they deliver "major breakthroughs," signaling a slower pace of hardware upgrades as the company prioritizes personal AI. He still sees VR as a path toward everyday holographic glasses, but the excerpt says Meta VR Glasses are planned for Spring 2027 at $1,300, aimed at prosumers and professionals. The author questions where the game-focused Quest platform fits, noting Meta has pulled back funding for major VR content and speculating that holiday discounts could help sales; those discounts are not confirmed. ### Source excerpt According to Meta's recent quarterly earnings report, Quest headset sales are declining, however AI glasses are growing fast enough to partially offset a slump in Reality Labs revenue. And moving forward, the company says only the "major" VR breakthroughs will warrant productization. The News "Within our Reality Labs segment, Q3 revenue was $443 million, down [...] The post Meta Confirms Lower Quest Sales, Says New VR Headsets Must Deliver "major breakthroughs" appeared first on Road to VR. ## Brian Kernighan: Inside Bell Labs, The Best Programmer, Why C Won DevFeed: [Brian Kernighan: Inside Bell Labs, The Best Programmer, Why C Won]() Original publisher: [Read original article]() Author: Ryan Peterman Published: 2026-10-26T13:05:38Z Content type: article Language: en Sources: [The Developing Dev]() Topics: [Electrical engineering and computer science (EECS)](), [engineering-leadership](), [Tool](), [communications](), [Finance](), [Cryptography]() Tags: [c](), [labs](), [staff](), [technical](), [world]() ### AI overview Kernighan describes Bell Labs as a research organization funded by AT&T's regulated telephone business, whose stable revenue and long time horizon let researchers pursue ideas for years. Researchers chose much of their own work; annual reviews compared contributions over time, with technically knowledgeable managers assessing merit. He recalls a collegial, relatively flat culture where advancement into management could mean less technical work. He credits C's success to its fit with limited early hardware: it was compact and efficient while still expressive, and its close relationship with Unix helped both spread. Tools such as awk often began with researchers solving their own practical problems; awk combined regular-expression, report-generation, and text-and-number processing ideas, then Peter Weinberger implemented it using Lex and YACC. Kernighan says it is too early to judge LLMs in education, while reporting fewer students at office hours and a sharp, uncertain decline in Princeton computer science majors. ### Source excerpt Brian Kernighan is the former Bell Labs technical staff member, co-author of the original C book, and the guy behind "Hello World." We talked about what Bell Labs was like, how he ended up there as a grad student, and what it was like working somewhere with no deadlines and a lot of smart people. ## Introducing the Temporal Product Edition -- October 2026 DevFeed: [Introducing the Temporal Product Edition -- October 2026]() Original publisher: [Read original article]() Author: Hien Phan Published: 2026-10-26T00:00:00Z Content type: release Language: en Sources: [Temporal]() Topics: [Resilience](), [Serverless](), [Maintainability](), [Amazon Bedrock AgentCore]() Tags: [2026](), [agentcore](), [agents](), [amazon-bedrock-agentcore](), [applications](), [aws](), [aws-lambda](), [build](), [capacity](), [cloud-run](), [labs](), [launches](), [nexus](), [october](), [october-2026](), [product](), [product-news](), [proxy](), [serverless](), [temporal](), [workers]() ### AI overview Temporal's first Product Edition previews five launches aimed at making mission-critical applications and agents easier to build and operate. Standalone Nexus Operations lets apps and agents call reusable Nexus services through the Temporal SDK, with durable handling of failures and waits. Temporal Proxy centralizes encryption using customers' keys in their own environment, keeping protected values unreadable to Temporal Cloud. Serverless Workers run code on AWS Lambda or Google Cloud Run with demand-following capacity while Temporal tracks progress and retries; Amazon Bedrock AgentCore Runtime is listed as pre-release. Production controls help teams inspect work, investigate repeated failures, pause executions, and adjust retries and timeouts for pending steps; the post also covers moving workloads to Temporal Cloud. Temporal Labs offers early open source experiments and direct feedback opportunities, but projects may change or lose investment and are not supported product commitments. ### Source excerpt Temporal's first Product Edition delivers five launches in five days, from Nexus and Proxy to Serverless Workers and Labs, for durable apps and agents. [Next page]()