Work prompts
Prompt Library: High-repeat use cases for everyday productivity.
Work promptsAI intelligence results for "Best prompts for image generation", including topic guides, current stories, and graph profiles.
Prompt Library: High-repeat use cases for everyday productivity.
Work promptsPrompt Library: Prompts for content, social, and generative media workflows.
Media promptsAI Tools Directory: Tools for producing, editing, and scaling content.
Creative and content toolsAI Tools Directory: Tools that affect daily business and technical workflows.
Work and industry toolsAI Comparisons: High-demand comparisons for model selection.
Model comparisonsAI Comparisons: The dimensions Pagish should evaluate consistently.
Comparison criteriaAI Development: The infrastructure builders use to ship AI products.
Developer stackAI Development: The constraints that determine whether AI systems work in production.
Runtime and evaluationSceneBloom addresses an awkward robotics bottleneck: a plausible-looking room is not necessarily a valid training environment. The new preprint combines visual layout generation with geometric checks to produce indoor scenes that embodied agents can actually use.
OpenAI's Decisions API is a developer story with a larger product implication: many AI workflows do not need a long answer, they need a reliable yes, no, or choice among constrained options.
Google's new Nano Banana image model update matters because generative media is becoming a price-performance market, not just a gallery of impressive examples.
InfoQ's coverage of GPT-6 Astra is important because the model is being framed around coding and computer use, not only text generation. That is where frontier models are becoming practical engines for software work, browser tasks, and agentic workflows.
Google bringing music generation into Gemini is a distribution story, not just a model story. A capability that once felt like a specialist creative tool is moving into the same assistant surface people already use for writing, search, planning, and productivity.
A lawsuit alleging that Grok generated new illegal sexual-abuse imagery from known victim material is one of the gravest forms of AI safety failure. This is not a routine moderation dispute; it concerns whether a model can amplify real-world abuse by creating new harmful material tied to an identifiable survivor.
Shopping sounds like an easy job for agents until the agent has to make a real decision. Preferences are messy, prices change, reviews are noisy, policies differ, and the best choice is often not the item with the cleanest product page.
Generative video is moving from spectacle toward production, and the reason is not only image quality. Cheaper, more controllable models change who can afford to experiment, iterate, and ship video features inside real products.
Anthropic is donating the Agent Skills standard to the Agentic AI Foundation under the Linux Foundation. The October 22 announcement transfers the project’s name, repository organization, and domain, putting a widely used format for AI agent instructions into shared governance.
Google Cloud and OpenAI are bringing OpenAI models and Codex workflows into Model Garden. Google says the initial models are entering private preview for selected enterprise customers, with broader integrations still to come.
An agent saying a task is finished is weaker evidence than a correct database record. Microsoft and Hugging Face’s ThinkingBox work turns executable checks of final database state into reinforcement-learning rewards, aiming to train more dependable business-task agents.
Siemens and Nvidia are using digital twins, synthetic training data, and AI agents at Siemens’ Erlangen electronics factory. AI Business reports applications for inspection and production planning, where proposed changes can be tested against a virtual representation of the plant.
OpenAI’s latest Habitat engineering account describes the storage work behind products serving more than a billion users. The October 23 post explains how the platform evolved its use of Azure Cosmos DB, including the tradeoffs between isolated workloads and shared capacity.
Uber is rolling out ChatGPT Work to more than 30,000 employees after an initial pilot of 1,000, according to OpenAI’s October 22 announcement. The deployment extends an agent platform for research, documents, analysis, and workflows across workplace applications.
IBM has updated its Granite Speech collection with a new 2B speech-language model and revised models for fast transcription and speaker attribution. The release covers transcription, translation, and the practical problem of tracking who said what in longer recordings.
Artificial intelligence world models often learn one kind of control at a time. UniAction proposes a common representation for different actions, allowing forces, camera movements, hand poses, and robot poses to condition a unified video-based world model.
DexPort turns a robot hand into a portable demonstration device for artificial intelligence training. Researchers use the same hand hardware during data collection and deployment, while a small set of selectable skills helps an operator coordinate fingers without controlling every joint separately.
AllenAI's work on impactful scheduling for GPU clusters is the kind of infrastructure story that matters because AI progress is increasingly limited by how well expensive compute is used.
Anthropic cutting internal evaluations off from the live internet is one of the clearest admissions yet that agent testing has outgrown the old demo environment. The issue is not whether an agent can browse; it is whether a lab can predict what it will do when browsing becomes open-ended.
Reports that Google's Gemini 4 Carbon is matching Anthropic's Opus 5.5 coding performance show that the frontier race remains intensely competitive where developers feel it most.
MIT Technology Review's conversation with the creator of AI-designed viruses sits at the difficult intersection of scientific progress, biosecurity, and publication norms.
Financial Times reporting on robot gyms captures an important shift in embodied AI: robots need places to train, fail, and repeat before they can work safely in human environments.
The Conversation's look at OpenAI's latest mathematics results captures both the excitement and the discomfort around frontier reasoning claims.
The head of the Alan Turing Institute warning that the UK must not be beholden to foreign AI turns sovereignty from a slogan into a practical question.