modular
modular at Beyond Market Intelligence is a file of 5 stories. The newest of them: “Explore how LARA makes frozen LLMs adaptable with lightweight modular behaviors”, “Explore how modular cargo space transforms the electric motorcycle for daily needs.”, and “Explore how open-source AI agents make modular data workflows more accessible.”. Most post-training work assumes you must bolt new weights onto a model. Electric two-wheelers are finding their footing, and Belgian startup Any is betting that cargo space will set them apart. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every modular story on Beyond Market Intelligence, newest first.
Explore how LARA makes frozen LLMs adaptable with lightweight modular behaviors
Most post-training work assumes you must bolt new weights onto a model. LARA challenges that by training small, low-rank residual adapters at selected layers, leaving the frozen LLM untouched. The result is a library where behaviors like coding, maths, or medical reasoning are separate, lightweight files. You can load them, blend them, or route them per token. The Mixture of Behaviors demo shows a single model switching between Hemingway and Fitzgerald styles. It is practical, modular research.
Explore how modular cargo space transforms the electric motorcycle for daily needs.
Electric two-wheelers are finding their footing, and Belgian startup Any is betting that cargo space will set them apart. Its LUV1 motorcycle packs 120 liters of modular storage, ready for bags, work gear, or even a pet. That practicality could nudge more riders past the hesitation of going electric. It is a thoughtful bet on how people actually commute, not just how they dream about it. For more momentum across mobility, our Waymo's Texas Fleet Grows Significantly piece tracks another expansion worth watching.
Explore how open-source AI agents make modular data workflows more accessible.
DeepSeek just released a developer preview of DeepSeek Harness, an open-source runtime built for autonomous AI agents. Its micro-kernel design with modular plugins points toward a more unbundled approach to agent infrastructure. The append-only event log is a smart addition for tracking execution activity. Whether it gains traction will likely hinge on plugin ecosystem stability and API maintenance. If you're weighing how modular agent tools fit your stack, this is worth exploring.
Give your AI agents new skills without retraining the model
Ever wondered how ChatGPT and Gemini pull off PDFs and PowerPoints when an LLM is all they have? The trick isn't a smarter model; it's skills, instructions an agent loads only when needed. That's a clever, accessible idea, and seeing it applied through LangChain makes it feel actionable. We like how this reframes capability as context, not complexity. For a deeper take on how agents learn by editing context rather than weights, check out our piece on Agentic Context Learning. It's a natural next step.
WebAssembly on the JVM unlocks new potential for server-side innovation
WebAssembly is no longer just a browser story, and Andrea Peruffo is here to prove it. His discussion on the JVM traces the technology's journey from simple interpreters to the speed of JIT compilation, making server-side Wasm a practical option for real workloads. What stands out is the focus on production reality, from edge platforms to modular plugins, rather than abstract potential.