Makerend is an AI API platform that simplifies integration of artificial intelligence services. This article introduces its core features and use cases.

The most valuable thing AI tooling has done for DevOps isn't automation but diagnosis. By analyzing CI/CD configs, runbooks, and incident postmortems, AI exposes hidden single points of failure, implicit assumptions, and notification gaps. Teams that treat AI as a forcing function for operational clarity will come out ahead.

OpenAI, once the poster child of AI, is walking back its superintelligence predictions after failing to monetize ads and erotic chatbots, while rivals race toward record-setting IPOs. The question lingers whether OpenAI has missed its window.

Microsoft's Majorana 2 quantum chip delivers qubits 1,000 times more reliable than its predecessor, with a mean qubit lifetime of 20 seconds, and a revised roadmap targeting a commercially scalable quantum computer by 2029. The chip's development leveraged Microsoft Discovery agentic AI, which is now generally available for enterprise R&D.

UK's CMA imposes conduct rule requiring Google to allow website owners to opt out of AI Overviews and prevent content use for AI fine-tuning. Publishers gain more control and bargaining power.

Cognizant CEO Ravi Kumar S. says AI won't kill entry-level jobs, and criticizes companies for using token consumption as a productivity metric. The company hired over 20,000 graduates last year and plans to hire more in 2026. New AI Builder roles don't require technical backgrounds. Kumar advocates measuring outcomes instead of inputs.

NVIDIA released Cosmos 3, a family of open omnimodal world models for physical AI that unifies physical reasoning, world generation, and action generation in a single model. Using a two-tower Mixture-of-Transformers architecture, it pairs an autoregressive VLM reasoner with a diffusion generator. The model comes in Edge, Nano, and Super scales, targeting robotics, autonomous vehicles, and warehouse monitoring. NVIDIA open-sourced checkpoints, training scripts, deployment tools, and datasets under the OpenMDW-1.1 license. Cosmos 3 achieves leading results on reasoning and generation benchmarks.

DigitalOcean announced on X that it is now a model provider on OpenRouter, offering DeepSeek V3.2, Kimi K2.6, and DeepSeek V4 Flash. The move signals the company's expansion from cloud infrastructure into AI inference.

UK publishers can opt out of Google's AI Overviews in search results, the CMA has announced. This gives them stronger negotiating power for content deals. Google will trial the feature in the UK first before global rollout. The CMA also mandates proper attribution and clear links to publishers' content in AI results.

The author argues that AI engineers are more likely to be replaced by AI sooner than other software developers due to the rise of general AI models like LLMs. The article explains that "AI engineer" is a vague title covering many different AI specialties, and the advancement of general models will make custom AI solutions a luxury, with most companies relying on off-the-shelf models.

Topaz community warns against moving default app folders to prevent file path issues that could lead to data loss. This bug is confirmed and users should avoid such actions.

A study by Oregon State University finds that adding design friction to AI systems, such as prompts to consider energy consumption, can encourage more responsible use. Action-based friction that requires users to search for existing resources was effective, while cue-based messaging only increased trust. With AI's energy use rising, such interventions are crucial.

Composer is a real-time multiplayer markdown editor that enables people and AI agents to work side-by-side on documents, with features like real-time editing, comments, suggestions, and agent collaboration via MCP.

The 2026 FIFA World Cup in North America will feature unprecedented broadcasting technology including spider cams, referee-mounted cameras, AI-powered VAR, and partnerships with TikTok and YouTube to engage global audiences.

BridgeToAgent launches an MCP connector enabling AI assistants to check a store's AI-readiness and simulate agent shopping.

Watchdog says ‘publishers will now have effective tools to prevent content being used to power AI features in search’

This course introduces Data-Centric AI, an emerging discipline focused on systematically improving datasets to enhance machine learning performance, covering techniques like label error detection, class imbalance, and dataset curation. It is the first-ever course on the topic, offered at MIT during IAP 2024, and includes hands-on labs in Python.

Nvidia unveils the Groq 3 LPU, its first chip dedicated to AI inference, featuring an SRAM-based architecture for ultra-low latency. The chip, which incorporates technology licensed from Groq, works alongside Vera Rubin GPUs to optimize performance through inference disaggregation, signaling a shift toward inference-focused computing in the AI industry.

The author attempted to build an intelligence analysis team composed of AI agents to automate Structured Analytical Techniques (SAT), but found it ultimately unworkable. Testing on a real question about Chinese cyber operations against Taiwan revealed issues such as redundant sub-questions, improper framing of collection requirements, and ineffective analytical loops. The conclusion is that current AI cannot replace human judgment in rigorous intelligence analysis.

Vim Classic has launched its first stable version 8.3.0, a fork of Vim that is completely free of code generated by LLMs.

It should have taken years, but Ash Koosha made a drama about Iran’s anti-government protests in weeks – and now it’s the first AI-made movie to screen at a major film festival. It could transform indie film-making, claims the director.

A new method for informed sampling on Riemannian manifolds uses Loewner order lower bounds to produce tighter informed sets, accelerating motion planning for robotic manipulators.

Researchers develop a digital twin system for hydroponic lettuce, using sensors and neural networks to track individual plant growth and predict yield. The custom neural network estimates mass within 1.5 g from RGB-D images, and the integrated system forecasts yield 1-4 days ahead with ~2 g error.

A self-supervised Hybrid Adaptive Kalman Filter is proposed that learns structured corrections to system dynamics and noise covariance from measurements only, enabling probabilistic model classification via innovation likelihood. Experiments show improved estimation accuracy and robust classification in both low- and large-data regimes.

SeeTraceAct is a demo-conditioned VLA framework that improves spatial grounding via visibility-aware prediction of future end-effector traces. It outperforms baselines on RoboCasa-DC and real-world tasks, boosting average success by 12.5 percentage points.

This paper introduces an estimation and control framework for dynamic landing of multi-rotor uncrewed aerial vehicles on moving platforms. The proposed method integrates nonlinear model predictive control with a real-time minimum-jerk trajectory planner that enforces a prescribed touchdown time, enabling consistent timing during the terminal descent. To enhance robustness in the presence of time-varying sensing quality, we utilize an adaptive unscented kalman filter that updates the process and measurement noise statistics online. In addition, we provide a reference feasibility analysis showing that minimum-jerk references induce bounded thrust and torque commands under standard tracking hypotheses. The proposed framework is evaluated in simulation and hardware experiments, and it is shown to achieve repeatable landings and improved platform velocity prediction accuracy relative to EKF/UKF-based methods.

CARVE is a prediction-free certificate layer for interactive driving that repairs vetoed maneuvers by identifying bounded multi-agent edits when hard-rule margins are negative. On 589 INTERACTION replay episodes, CARVE-Greedy accepts 98.64% of initially vetoed maneuvers and recovers 370/378 human-resolved false vetoes, while preserving zero priority-agent false positives and 400/400 negative-stress vetoes. CARVE does not rely on prediction; it certifies whether an interaction is bounded, attributable, and normatively admissible under declared assumptions.

While sim2real efforts are necessary for effective policy transfer to hardware, there is such a thing as too much of a good thing. We argue that sim2real efforts have led to misaligned incentives with policy learning, resulting in simulator lock in and poor policy exploration due to the unreasonable constraints imposed by the real world. We offer a diagnosis and explanation of the current status of the problem, and propose a potential solution via a sim2sim2real paradigm that leverages the robot's kinematics as the sole design constraint.

This paper presents an automated agent-driven pipeline that generates multiple-choice VQA datasets from paired private radiology reports and 3D oncology imaging, producing two complementary question types: RADS-style and report-derived questions. Evaluated on four in-house cancer cohorts, zero-shot evaluation reveals no dominant model and substantial headroom. A blind ablation shows visual reliance is dataset-specific; lung CT is solvable without images. The pipeline is released as an open agent skill.

NVIDIA introduces Cosmos 3, a family of omnimodal world models that jointly process and generate language, image, video, audio, and action sequences using a unified mixture-of-transformers architecture. It achieves state-of-the-art on understanding and generation tasks, and is released open-source under the OpenMDW-1.1 license.