Other AI

A Colab‑ready tutorial demonstrates using the SuperClaude Framework as a structured layer on top of the Anthropic API, supplying runnable Python code that installs anthropic>=0.40.

Gated DeltaNet-2 introduces channel — wise erase and write gates in a recurrent linear‑attention block; a 1.

A May 24, 2026 tutorial shows how to combine Playwright MCP with Claude Desktop so an LLM can execute browser workflows directly — navigating pages, interacting with UI elements and surfacing debugging artifacts — rather

StepFun, a Shanghai — based AI lab, released StepAudio 2.5 Realtime in May 2026 — an end-to-end real-time speech large language model with fully customizable persona capabilities.

A hands — on tutorial demonstrates installing and configuring Langfuse, tracing calls and prompts, instrumenting a RAG pipeline, and running dataset — based evaluations using either OpenAI or a deterministic mock.

In an S‑1 ahead of an expected IPO, SpaceX foregrounds artificial intelligence — folding xAI into a new SpaceXAI unit and citing a $26.

Demis Hassabis, Yann LeCun and Oriol Vinyals offered sharply different assessments this week about how far AI has progressed and what comes next.

On May 24, 2026, Google updated Genkit with a middleware layer that wraps every generate() call, model invocation and tool execution, giving developers runtime hooks for retries, model fallbacks, approval gates, access

AWS announced general availability of its managed Model Context Protocol (MCP) server on May 24, 2026, offering a standard, auditable channel for AI coding agents to access AWS APIs, documentation, and guided workflows

ByteDance Seed and HKUST introduce MMProLong, a Qwen2.5‑VL-based multimodal model trained with automatically generated question — answer supervision on long, image‑heavy documents;

A living reference published May 20, 2026 enumerates every major AI provider and the model variants automatable in Zaps and unveils AutomationBench, a public benchmark that measures models on messy, multi‑step business

A veteran engineering executive who led teams at Microsoft, Snap and Google argues that near‑term AI will automate routine software work but not replace human judgment, transforming specialist coders into orchestrators

On May 19, 2026 Allisa Boulette published a guide that defines process automation, catalogs four primary automation types, and explains how AI-enabled orchestration can link thousands of apps into end-to-end workflows —

A shortage of NVIDIA Grace Blackwell chips means many of the newest large models cannot be deployed on classified U.S.

Webwright is an open-source, terminal — native framework from Microsoft Research’s AI Frontiers lab that lets LLM agents author and execute Playwright programs and shell commands, treating browsers as disposable runtimes

Professional services, consulting, banking and law firms are cutting or relocating executive assistant and other non-client-facing support roles. In February PwC cut roughly 600 U.S.

A cross‑institutional team used AutoTTS and Claude Code to let a coding agent search for test‑time scaling controllers in an offline simulation;

Datadog published a Public Artifact Vulnerabilities page offering VEX-format assessments and raw OpenVEX files for its Agent, container images, and packages so teams and CI/CD pipelines can apply vendor — provided

Datadog's Cloud Cost Management now offers an AI Costs capability to provide unified visibility into AI spend, standardize cost data across providers, and attribute usage to teams.

Morag Barrett argues that debates about which jobs will survive and how economies adapt miss a more immediate and addressable risk: the erosion of workplace relationships and the informal, developmental spaces that

A Database Monitoring (DBM) engineering team ran 23 autonomous experiments using Karpathy’s autoresearch and LLM Observability Experiments to track hypotheses, inputs, outputs and failures, raising an LLM-backed query —

President Trump canceled a planned signing for an executive order to allow voluntary government testing of frontier AI models before public release, citing objections that it could be a regulatory “blocker.

On May 18, 2026, Allisa Boulette defines LLM agents as large language models upgraded to pursue objectives, call external tools, and execute multi‑step tasks with limited human input.

A May 19, 2026 benchmark of multi‑tenant coding‑agent inference finds the Together Inference Engine yields 31% more tokens‑per‑second than the next‑fastest open‑source engine (and versus TensorRT — LLM per the report),