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Richard Gall

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As seen in: Thoughtworks, Medium, betanews, DZone, The Code Project, Packt Hub, KDnuggets, Singularity Hub, Security Boulevard, The New Stack, Training Industry and
milquetoast of human kindness | occasional poet | podcast @_TalkAboutTech | @UTAW_uk member

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Articles

Kimi K3: Are we entering a new multi-model era?

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By Richard Gall Verified
| Thoughtworks
Technical leaders trying to integrate LLMs into their systems often describe a familiar tension: the desire for capability, managing costs and the need for control. For the past few years, the architectural pattern has heavily favored capability; we've routed our most complex workflows to proprietary APIs, trading data sovereignty and fine-grained control for the sheer power of closed-weight frontier models. However, things are changing, not least because of growing concerns about token costs.
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Kimi K2: What’s all the fuss and what’s it like to use?

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By Richard Gall Verified
| EMSNow Verified
A new large language model — Kimi K2 — has been making waves across the technology industry. Developed by Chinese artificial intelligence company Moonshot AI, which is backed by digital behemoth Alibaba, its release is being hailed as another DeepSeek moment. Like DeepSeek, Kimi K2 is open-weight, which means its trained parameters are freely available to be downloaded and adapted; also like DeepSeek, it’s demonstrated impressive performance over established models. How does Kimi K2 work?
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The zero-cost fallacy: Open source software in the agentic era

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By Chris Ford, Richard Gall Verified
| Thoughtworks
The licensing paradox: From freedom to exploitation The structural fragility of modern software engineering is intimately bound to the legal frameworks we designed to protect it. Our current licensing models have inadvertently created an extraction economy, forcing a critical re-evaluation of the foundational philosophies separating "permissive" open-source licenses (such as MIT and Apache) from copyleft agreements (like the GPL).
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