Profiling Flutter Apps for Smart Glasses and Robotics Latency and Memory

This tutorial positions Flutter as the operator-facing layer, with wearable SDKs, Jetson services, ROS 2 nodes, and NVIDIA-accelerated inference handling device-specific and compute-heavy work. Its stated goals are predictable latency, bounded memory, useful observability, and graceful degradation rather than maximum message throughput. It warns that safety-critical control must stay on the robot, since a Flutter app is not a hard real-time controller. Recommended practice includes profiling on physical hardware in profile mode, tracking p50, p95, and p99 latency, and using bounded queues, latest-value caches, and explicit overflow policies. It also advises keeping parsing out of build methods and benchmarking isolates before using them for CPU-heavy work.

Six GnuTLS CI test jobs can fail without breaking the pipeline

A static analysis of GnuTLS's GitLab CI configuration found that six of its fifteen test-running jobs are set to allow failure, so a failing test still shows the pipeline as passed. The affected jobs include Windows (mingw) builds under Wine, a ThreadSanitizer suite, and several cross-architecture runs under QEMU. The project's other nine test jobs do hard-fail the pipeline, which suggests the exceptions were not intended to be permanent. Two of the jobs carry a comment about a single step failing in a rootless container, but allow_failure applies to the whole job, so real regressions could go unnoticed. The four cross-architecture jobs have no stated reason at all, and the big-endian ppc64le and s390x jobs are the only ones testing those architectures. The article proposes forgiving only infrastructure errors while still failing on genuine assertion failures.

India’s only floating post office gets longer working hours

Better Support Documentation Helps SaaS Teams Resolve Customer Issues Faster

Support tickets often fail to preserve the findings and troubleshooting steps needed for future cases, which forces teams to start investigations from scratch. The article uses a hypothetical SaaS app where customers' PDF uploads fail with an HTTP 413 (Content Too Large) error, illustrating why detailed ticket information such as file type, size, browser, and error code matters. It explains that HTTP 413 signals a request exceeds what the server will process, but the limit may be enforced at the application, web server, proxy, or another infrastructure layer. The piece argues that well-documented tickets help support teams respond consistently and give engineers the context to investigate and reproduce technical problems. It also presents a troubleshooting workflow and emphasizes turning resolutions into reusable knowledge.

Flutter and Jetson: Building a Thermal- and Memory-Aware Operator UI

This advanced tutorial positions Flutter as the operator-facing layer, leaving device-specific and compute-heavy tasks to wearable SDKs, Jetson services, ROS 2 nodes, and NVIDIA-accelerated inference. Its aims are predictable latency, bounded memory, useful observability, and graceful degradation rather than maximizing message throughput. It stresses that safety-critical control must stay on the robot, since a Flutter app is not a hard real-time controller. The guide recommends tracking data freshness, end-to-end latency, frame pacing, resource use, and command acknowledgements, and profiling on physical hardware in profile mode. It also advises using latest-value caches, bounded queues with overflow policies, and controlled presentation cadence to keep high-rate data from forcing constant widget rebuilds.

Rocco Smart Fridges Drop to Lowest Prices of 2026 During Black Friday Sale

Rocco's Black Friday sale has brought its smart fridges to their lowest prices of 2026. The discounts apply to the new Essential model and to certain color options of the original Classic. The article's text is brief, so it does not provide further details on discount amounts or the sale's end date. The report is aimed at shoppers looking for a deal on the appliances during the holiday sales period.

Developer's job board deduplication bug wrongly flagged 166 of 174 listings as duplicates

A developer building GigsPaid, a board for paid coding gigs, found that its near-duplicate filter was discarding most incoming job posts, leaving the site with only 18 listings. Replaying a single scan showed the filter kept just 8 of 174 tech gigs. The root cause was a flawed simhash implementation that produced only 31 usable bits and had several bits that barely varied across documents. As a result, unrelated job posts averaged an 11.1-bit Hamming distance, below the duplicate threshold of 12, so most pairs were treated as duplicates. After replacing the hash with 64 bits from two independent hash functions and using the standard threshold of 3, the same scan stored all 174 listings and production listings rose above 100.

Corporate gifting gets an artful makeover

Flutter Robotics Guide Covers Bounded Queues, Load Shedding and Priority Channels

This advanced tutorial positions Flutter as the operator-facing layer, with wearable SDKs, Jetson services, ROS 2 nodes, and NVIDIA-accelerated inference handling device-specific and compute-heavy tasks. Its main goals are predictable latency, bounded memory, useful observability, and graceful degradation rather than maximizing message throughput. It stresses that safety-critical control loops should stay on the robot, since a Flutter app is not a hard real-time controller. The guide recommends tracking metrics such as freshness, end-to-end latency, frame pacing, and dropped messages, and profiling on physical hardware in profile mode. It also advises using latest-value caches, bounded queues with defined overflow policies, and separate reliable paths for commands and alarms.

Microsoft and Oracle end AI partnership; developers urged to migrate workloads

A sudden split between Microsoft and Oracle in their AI services partnership has disabled the integration that let hybrid AI workloads run across Azure and OCI, removing it from marketplace listings within about two days. The article notes that Oracle AI Platform listings, automatic OCI provisioning from the Azure portal, and cross-cloud billing and traffic routing have all been turned off. Developers still training or serving models on OCI must export checkpoints, move data and rebuild pipelines, with egress fees for OCI storage cited as a cost factor. The author recommends a blue-green migration to Azure, arguing that Azure reserved capacity and savings plans could lower total cost of ownership by 15 to 30 percent for steady inference workloads. Step-by-step scripts and a CI/CD playbook are provided to help teams avoid downtime during the move.

DeSantis Mocks Vivek Ramaswamy as 'Tech Guy' Following Ohio Election Loss

Florida Governor Ron DeSantis commented on Vivek Ramaswamy's recent defeat in Ohio during an appearance on the Sage Steele Show. He questioned why the Republican Party selected Ramaswamy as its candidate to begin with. In his remarks, DeSantis described Ramaswamy dismissively as a 'tech guy,' a jab aimed at undermining his political credentials. The comments highlight tensions within Republican circles following the Ohio result. The article reports the remarks as delivered on the talk show without additional context beyond the exchange.

Microsoft Ends Oracle AI Partnership; Developers Face Migration Decisions

Microsoft has abruptly terminated its cloud AI partnership with Oracle, causing significant reaction across developer communities. Developers whose LLM, vector-search, or inference pipelines run on Oracle Cloud Infrastructure but are orchestrated from Azure are advised to plan migrations promptly. A companion guide outlines which OCI-hosted services are affected and compares estimated costs and performance against Azure equivalents. It also provides scripted steps for inventorying OCI resources, importing them into Terraform, and provisioning Azure replacements. The material further covers CI/CD pipeline changes, a security checklist, and frequently asked questions.

Meta's Muse adds Spaces, letting the AI agent build and update apps from chat

Meta has added Spaces to its Muse AI assistant, two days after launching a voice feature. Users describe an idea in chat and Muse generates a persistent workspace, such as a tracker, planner, or project board, that sits in the sidebar and can be scheduled to appear. Once apps are connected, these spaces can refresh themselves in the background with new information like concert dates or price changes. Spaces currently support only single users, with sharing with other users under consideration. The feature arrives alongside a specialized version of Muse Wonder, which Meta had previously announced for developers and subscribers.

Student builds live university mess-menu app with meal ratings and no login

A university student created a free web app to replace an outdated PDF of hostel mealtimes and menus. The site shows today's breakfast, lunch and dinner with serving times, plus the full weekly menu for planning. Students can rate and review each meal, helping peers judge food quality before heading to the dining hall. The app is built with React, TypeScript, Tailwind and Cloudflare Workers, with server-rendered content and structured data for search visibility. The creator says the rating feature is what keeps students returning daily.

Microsoft ends AI cloud partnership with Oracle; guide covers migrating workloads to Azure

Microsoft has announced it is ending its collaboration with Oracle on AI cloud services, a move that quickly drew attention across search trends and developer forums. The article examines which Oracle AI services are affected, including OCI Data Science, Generative AI Studio, Digital Assistant, and Foundation Models. It compares Azure and OCI on GPU-hour pricing, storage costs, and latency, noting Azure's modest advantages. It also presents a step-by-step migration approach using data sync, container image transfer, and blue-green deployment on Azure Kubernetes Service, with infrastructure-as-code examples. The piece additionally includes a security and compliance checklist and a short FAQ.

Hundreds of Artex AI hacking tool servers found exposed to the public internet

Security researchers discovered hundreds of servers running Artex, a penetration testing tool, that were accessible to anyone on the internet. The exposure meant that the hacking tool itself was open to unauthorized users rather than restricted to its intended operators. The article does not specify the exact date of discovery in the source text provided. The findings highlight the risks of misconfigured security tools left reachable online. Further details on remediation or affected organizations were not included in the source material.

Meta launches Spaces, a new collaboration feature for its Muse AI agents

Meta has introduced Spaces, a new way for users to work with its Muse agents. The announcement is part of an ongoing effort to add features and integrations to the Muse AI helpers. Spaces is positioned as a fresh method of interacting with these AI assistants. The source article provides limited detail beyond this overview, so specifics on how Spaces works are not described here.

Free Chinese AI Models Approach Top Proprietary Systems in Simulated Hacking Tests

An experiment tested AI models on their ability to break into simulated computer networks. Chinese models DeepSeek and GLM performed closely to OpenAI's most advanced cyber-capable model, which has not been released publicly. The results suggest that openly available AI systems are narrowing the gap with leading proprietary models in offensive cybersecurity tasks. The findings raise concerns among security observers about how such capabilities could be misused. The article is based on a single experiment involving simulated environments rather than real-world attacks.

Bipartisan permitting bill advances to speed energy projects, drawing environmental concerns

A large permitting bill that would accelerate the approval of energy projects is moving forward with bipartisan backing. Supporters argue it could bring projects online faster and potentially reduce utility bills for Americans. The measure would also expedite clean energy development, but it could equally hasten polluting projects. Environmental advocates worry that it would cut environmental reviews and curb community ability to halt projects, while also weakening oversight of new data centers whose growing AI-driven power demand is a concern. The article is a partial excerpt, so the full details are available at The Verge.

FAA Plans to Retire Floppy Disks from Air Traffic Control Towers

The Federal Aviation Administration intends to finally eliminate floppy disks still used in air traffic control towers. The storage format was abandoned by the broader computer industry decades ago. Federal officials have signaled plans to phase out the aging technology. The move reflects ongoing efforts to modernize equipment that continues to rely on outdated hardware.