API

API on Beyond Market Intelligence: a running collection of 34 stories we have gathered and hand-picked because they are worth your time. Every post here touches on api in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around api, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Thinking Machines debuts Inkling Small open source AI model nearing performance of predecessor at about 1/4 size
VentureBeat

Thinking Machines debuts Inkling Small open source AI model nearing performance of predecessor at about 1/4 size

Thinking Machines has unveiled Inkling-Small, a groundbreaking open-source AI model demonstrating remarkable efficiency. Nearing the performance of its predecessor, Inkling, this new model achieves this at roughly one-quarter the size, surpassing it on several key benchmarks. Released under a permissive Apache 2.0 license, Inkling-Small offers enterprises a compelling blend of power and practicality, reducing compute requirements and deployment complexities. Explore this transformative solution and discover how it can empower your data journey—a clear signal that enterprise AI is rapidly evolving.

Google brings its age-assurance technology to Android developers worldwide
TechCrunch

Google brings its age-assurance technology to Android developers worldwide

Google is empowering Android developers globally with expanded access to Play Age Signals API. This privacy-preserving technology offers a refined approach to tailoring user experiences based on age ranges, enabling more relevant and appropriate app interactions. Developers can now leverage this tool to enhance their applications without compromising user privacy. For those interested in broader development updates, consider our recent article on ".NET 11 Preview 6" and its advancements for .NET MAUI.

MCP Explained: How Modern AI Agents Connect to the Real World
Towards Data Science

MCP Explained: How Modern AI Agents Connect to the Real World

AI agents are rapidly evolving, but their power hinges on seamless interaction with the real world. That’s where the Modular Connector Protocol (MCP) comes in. MCP establishes a universal standard for AI tool access, moving beyond custom integrations to unlock unprecedented workflow automation. Explore how this framework empowers agents to connect with diverse applications, transforming data management and boosting productivity. Curious about the computational costs involved? See our analysis on "How Much Does a Local LLM Actually Cost to Run?" for further insights.

Java News Roundup: Simple JSON API, JEPs for JDK 28, Oracle CPUs, Embabel 1.0, Azul Payara, Helidon
InfoQ

Java News Roundup: Simple JSON API, JEPs for JDK 28, Oracle CPUs, Embabel 1.0, Azul Payara, Helidon

This week’s Java News Roundup, dated July 20th, 2026, showcases key developments shaping the ecosystem. Leading the discussion are two proposed JEPs targeting JDK 28: JEP 540, introducing a Simple JSON API (Incubator), and JEP 541, signaling the deprecation of the macOS/x64 port. Also highlighted are the July 2026 Critical Patch Update, the general availability of Embabel 1.0, Azul Payara 7.2.0, and Helidon 4.5.1. For a deeper dive into related infrastructure advancements, explore

Runway launches AI model router as generative media gets crowded
TechCrunch

Runway launches AI model router as generative media gets crowded

Runway is evolving beyond individual AI models, establishing itself as a foundational infrastructure layer for generative media. Today, through Runway Dev, they launch Media Router—an API-driven platform granting access to a diverse and expanding roster of third-party image, video, and audio models. This strategic move empowers developers to seamlessly integrate various AI capabilities into their workflows. For those interested in how AI is transforming operational efficiency, explore "Expedia Uses AI Driven Service Telemetry Analyzer" for a related perspective on leveraging AI for incident investigation.

Meta Ports React Compiler to Rust for Faster Builds and Tighter Toolchain Integration
InfoQ

Meta Ports React Compiler to Rust for Faster Builds and Tighter Toolchain Integration

Meta has significantly accelerated React development by integrating a Rust version of the React Compiler directly into its core repository. This strategic move delivers up to 50% faster compilation speeds and strengthens compatibility with Rust-based JavaScript toolchains, all while maintaining a stable public API for seamless upgrades. The compiler’s automatic component memoization further enhances efficiency. For those interested in exploring the broader landscape of LLM infrastructure, our article "How To Build Your Own LLM Runtime From Scratch" provides valuable insights.

Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way
VentureBeat

Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way

Google DeepMind has unveiled the Gemini 3.6 Flash model, engineered to significantly reduce AI agent token costs—cutting them by up to 65% on demanding long-horizon engineering tasks. Priced competitively at $1.50/$7.50 per million input/output tokens, it joins the Gemini 3.5 Flash-Lite ($0.30/$2.50) and specialized Gemini 3.5 Flash Cyber models, all designed to enhance speed, intelligence, and scalability. These advancements prioritize efficiency, streamlining workflows and empowering developers—a strategy mirrored in Weka's recent storage platform innovations. Gemini 3.5 Pro remains

Run the Mythos Enhanced Coding Model Locally with llama.cpp and Pi
KDnuggets

Run the Mythos Enhanced Coding Model Locally with llama.cpp and Pi

Unlock powerful local coding workflows with the Qwythos-9B-Claude-Mythos-5-1M model. Run this enhanced coding model locally using llama.cpp, then seamlessly integrate it with the Pi coding agent. This configuration enables fast, responsive coding directly on your machine, leveraging MTP speculative decoding and an OpenAI-compatible API. Explore a future-focused solution that empowers developers to build and iterate with unprecedented speed and accessibility. Interested in expanding your AI skillset? Check out our "5 Free Courses to Go From AI Beginner to Practitioner" for a comprehensive learning path.

China’s Moonshot AI releases Kimi K3, the largest open-source model ever, rivaling top U.S. systems
VentureBeat

China’s Moonshot AI releases Kimi K3, the largest open-source model ever, rivaling top U.S. systems

Moonshot AI has unveiled Kimi K3, a 2.8-trillion-parameter model now recognized as the world’s largest open-source AI, rivaling top proprietary systems from Anthropic and OpenAI. This release, timed before the 2026 World Artificial Intelligence Conference, marks a significant moment in the global AI race and a remarkable comeback for the Beijing-based startup. Full model weights will be released July 27th, allowing users to explore its capabilities—and potentially reshape their data strategies—at kimi.com.

Yes, you can now order DoorDash from the command line
TechCrunch

Yes, you can now order DoorDash from the command line

DoorDash is expanding its accessibility, launching a limited beta of dd-cli, a command-line tool designed for developers and AI agents. This innovative tool empowers users to search stores, build carts, and place orders directly from the terminal. Representing a significant step toward software optimized for AI workflows, dd-cli opens new possibilities for automation and integration. Interested in the broader trend of AI-powered tools? Explore how Google’s AI Mode is now linking and interacting with select apps, further blurring the lines between human and machine interaction.