# Topics — Parallel Quant

Curated AI updates organized by topic. Append the topic path under /md for its Markdown feed (e.g. /md/tags/llms).

- [Products](https://www.parallelquant.com/tags/products) (305): AI products and features shipping to real users, and what they change.
- [Policy & Regulation](https://www.parallelquant.com/tags/policy) (278): Government, legal, and governance developments shaping how AI gets built, deployed, and governed.
- [LLMs](https://www.parallelquant.com/tags/llms) (223): Large language models — new releases, capabilities, benchmarks, and the race at the frontier of AI.
- [Chips & Compute](https://www.parallelquant.com/tags/chips) (192): The silicon behind AI: GPUs, custom accelerators, memory, fabs, and the supply chain — and geopolitics — that powers every model.
- [Research](https://www.parallelquant.com/tags/research) (166): New results from AI labs and academia — papers, methods, and findings that actually move the field forward.
- [Open Source](https://www.parallelquant.com/tags/open%20source) (96): Open models, tools, and releases — and the shift from renting AI toward owning and self-hosting it.
- [Security](https://www.parallelquant.com/tags/security) (94): AI security: attacks, defenses, and the safety of increasingly autonomous agents.
- [Infrastructure](https://www.parallelquant.com/tags/infrastructure) (77): Data centers, power, and the physical build-out of AI — increasingly where energy, not algorithms, is the binding constraint.
- [Business](https://www.parallelquant.com/tags/business) (46): Funding, deals, leadership moves, and the business of the companies building AI.
- [Agents](https://www.parallelquant.com/tags/agents) (26): Autonomous and semi-autonomous AI agents — plus the identity, security, and protocols being built to make them dependable.
- [Robotics](https://www.parallelquant.com/tags/robotics) (18): Embodied AI — robots, simulation, and the systems that train them for the physical world.
- [On-Device](https://www.parallelquant.com/tags/on-device) (2): Small and on-device AI — models compressed to run on phones, browsers, and the edge, away from the API.

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Published by Parallel Quant — https://www.parallelquant.com