This concept video for a hypothetical AI assistant features multiple people overcoming a series of everyday tasks by receiving visual, interactive assistance on their smartphones. Whether folding origami, building a bicycle, or painting a room, these tasks go from frustrating to joyful with the help of intuitive AI. - People using smartphones to receive visual guides for tasks like origami, bike building, and wall painting. - The AI assistant providing interactive guides that change based on user input, helping simplify complex steps. - The video demonstrating how AI can transform frustrating manual labor into fun, accessible experiences.

Plugin extensions for ChatGPT allow developers to bring product user interfaces into the chat interface for richer, more interactive experiences. Plugin extensions allow users to have persistent plugin homes in the sidebar, or interactive side panels, alongside existing conversations. - Plugin extensions allow developers to bring product UI, tools, and workflows into ChatGPT. - Plugins can live in the sidebar or interactive side panels next to conversations. - Examples include meetings integration for recording notes and OpenAI developers plugin in Codex. - Plugin extensions build on MCP and MCP apps to integrate product tools into conversations.

At OpenAI DevDay 2026, engineers Aarti Bagul, Mandeep Singh, and Saptarshi Banerjee discussed how developers can optimize AI costs by focusing on cost-per-task rather than cost-per-token. They explored strategies like choosing the right model size, prompt caching, programmatic tool calling, reasoning effort adjustments, and batch processing. - Cost-per-task is a better metric than cost-per-token because cheaper models may consume more tokens or fail, requiring human intervention. - Prompt caching can reduce input token costs by up to 90% by reusing preprocessed shared instructions. - Programmatic tool calling helps reduce prompt token usage and model calls by passing tool results more efficiently. - Adjusting reasoning effort and using batch processing with 24-hour windows can lower costs for complex tasks.

In this video, Craig Dennis, Developer Experience Engineer, introduces Alex Mashrabov, CEO and co-founder of Higgsfield. Mashrabov discusses Higgsfield's journey in building an AI platform for creators, leveraging advanced models like Astra, and addressing the challenges of continuous creative workflows. - Higgsfield is a leading multimedia AI platform enabling creative marketers to build end-to-end advertising campaigns using advanced models like Astra. - The platform addresses unmet needs in creative media by launching Higgsfield API, helping developers ship new experiences and build businesses. - Higgsfield shipped a supercomputer and built agents that provision their own GPU infrastructure to ensure consistent execution across various workflows. - Astra unlocks computer-use use cases, allowing a small team to build interactive shows and long-form video content efficiently.

This video from OpenAI DevDay 2026 features a discussion between Aarti Bagul, Developer Experience, and Alexandra Lato, VP of Product at Stack Overflow. They discuss how Stack Overflow has used OpenAI's Codex to build new products, focusing on the development of Stack Internal and Stack Overflow for Agents. - Stack Overflow uses Codex to power two new products: Stack Internal and Stack Overflow for Agents. - Stack Internal is an enterprise-grade knowledge intelligence product that handles complex data constraints and security. - Stack Overflow for Agents is an experimental, agent-first product that allows AI agents to contribute knowledge back to the community. - Codex helped Stack Overflow quickly build complex architectural patterns and manage the transition from human-led to agent-inclusive platforms.

Anthropic has released Claude Haiku 5.5, a fast, cost-effective small model that is 75% cheaper than its predecessor, Haiku 4.5. The video discusses the model's impressive performance across various benchmarks, comparing favorably to OpenAI's GPT-6 Luna, and highlights its new adjustable effort settings and reduced pricing for other models. - Claude Haiku 5.5 is 75% cheaper on average than Haiku 4.5, making it an affordable option for repetitive tasks. - The model performs well in computer use, knowledge work, and coding benchmarks, often rivaling larger models like Sonnet 5.5. - Anthropic has introduced adjustable effort settings for Haiku 5.5, allowing users to balance cost and performance. - Pricing for Claude Sonnet 5.5's cache reads has also been halved, making it 20% cheaper on agentic work.

This video from SpaceX AI highlights new features and updates for Grok Bot, focusing on its main bot capabilities, engineering use cases, and team bot enhancements. Grok Bot is now more proactive, integrating deeply with apps like Slack, Google Workspace, and GitHub to automate tasks and streamline workflows. - Grok Bot is now proactive, monitoring plugins and actions to make recommendations, such as suggesting flight and Uber reservation updates when your schedule changes. - Engineering updates include smoother integration with Origin and GitHub to manage pull requests and video previews of completed work. - Knowledge work has improved with better Google Suite connectors for Sheets, Slides, and Docs, including the ability to generate .pptx files directly. - Team Bots can now be installed directly into Slack, supporting multi-person threads and voice calls for better team collaboration.

This video critiques popular YouTube advice claiming that a 16GB GPU is all you need for local AI workloads. While models like Qwen 3.8 27B technically fit within 16GB, the video argues that these benchmarks ignore a critical limiting factor: context window size. It demonstrates how heavy agentic workloads quickly consume available memory, severely impacting processing speed and rendering 16GB cards insufficient for intensive, long-context tasks. - 16GB GPUs can load large models like Qwen 3.8 27B, but they leave very little room for the KV cache required by long-context agentic workloads. - As context windows fill up with chat history, file reads, and tool outputs, memory exhaustion causes performance to plummet or tasks to fail. - Bandwidth and multi-token prediction significantly affect generation speed, meaning raw gigabytes of VRAM do not tell the whole story. - Choosing a GPU for local AI requires balancing model size against the context length and memory bandwidth needed for your specific use case.

ChatGPT Space includes a new "pages" feature that transforms how you work with ChatGPT by allowing you to collaborate on documents with ChatGPT and your team. You can use pages to write documents, daily briefs, brainstorm visuals, and more. - ChatGPT Space organizes all your sites, images, and Google Drive files, replacing the old library feature. - You can create a new page to use as a collaborative text editor and use ChatGPT to suggest changes or fill in details. - Use the @ symbol to assign tasks to ChatGPT or your dots within a page. - Pages can be shared with others for real-time collaboration.

This video explains sixteen core artificial intelligence and machine learning concepts in about eight minutes, starting with basics like LLMs and tokens and progressing to advanced topics like vector databases and AI agents. It breaks down technical concepts such as transformer architecture, weights, fine-tuning, and backpropagation into accessible explanations with visual diagrams. The guide also covers practical deployment techniques, including quantization and RAG, showing how models interact with external data and tools. - LLMs predict the next word in a sequence and process text as tokens, which are chunks of text assigned unique IDs. - Weights are billions of parameters in neural networks adjusted during training to make predictions, with GPT models relying on transformer architecture. - Training involves pre-training to learn patterns and backpropagation to adjust weights based on errors, while fine-tuning and reinforcement learning adapt models for specific tasks. - Vector databases and embeddings store and retrieve data by meaning, enabling retrieval-augmented generation (RAG) and tool calling. - AI agents run in a loop, combining LLMs with tools and protocols like MCP to handle complex multi-step tasks.

In this video, Ethan from Cook Well demonstrates how to modernize the classic casserole for breakfast, lunch, and dinner. He shares three delicious, protein-packed recipes, complete with cost and calorie breakdowns, proving that casseroles can be exciting, gourmet meals for any day of the week. - The video features three modern casserole recipes: a Sausage, Egg, and Cheese Breakfast Casserole with a sourdough crust; a King Ranch Inspired Casserole with grilled chicken and fresh vegetables for lunch; and a Red Wine Braised Cottage Pie for dinner. - Ethan highlights the benefits of using Wildgrain, a subscription service for frozen sourdough breads, pastries, and fresh pastas, which makes prepping these casseroles easier and more flexible. - Each recipe comes with a detailed cost and calorie breakdown, showing that homemade casseroles can be both budget-friendly and nutritious. - Ethan emphasizes the importance of letting casseroles cool down for cleaner slices and shares tips on how to reheat them for optimal texture and flavor.