Feb 16 · 8 min read · Hello 👽 Today we’ll be taking another spontaneous detour from our AI series for a Mid-Series Special 🤗. This time it’ll be about the highly popular OpenClaw project. If you haven’t heard of OpenClaw, it’s an open-source tool/project that provides a...
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Feb 16 · 3 min read · Introduction When I started learning about LLMs, terms like self-attention and Transformers felt almost magical. So instead of only using libraries, I decided to build a language model step by step — starting from a very simple baseline and ending wi...
Join discussionFeb 14 · 6 min read · How do LLMs choose how to respond and why does it matter? A short(ish) post today on the importance of validating the output of LLMs. It’s common knowledge at this point that large language models can hallucinate in their responses and unintentionall...
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Feb 12 · 6 min read · As a Principal Systems Engineer, the mission here is to peel back the layers of modern content-creation stacks and show the operational trade-offs that decide whether an output is useful, repeatable, and safe - not just whether it "looks good." This ...
Join discussionFeb 9 · 3 min read · In today’s fast-moving financial environment, speed and accuracy are critical. CFOs, finance managers, and financial advisors deal with massive volumes of data—from cash flow and compliance reports to customer queries and audit trails. Manual process...
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Feb 3 · 10 min read · Your GPU is sitting idle while your LLM inference requests queue up, one by one, painfully slow. You know there's a better way. You've heard about continuous batching, PagedAttention, and throughput numbers that seem too good to be true. Welcome to v...
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Feb 2 · 4 min read · If you’ve been following the OpenClaw (formerly Moltbot) repository, the Moltbook event is the logical, if terrifying, conclusion of autonomous agentic loops. We are seeing a 43% decline in agent alignment sentiment within the first 72 hours of peer-...
Join discussionJan 31 · 4 min read · January 31, 2026, 1:45 AM, Boston Time. While the world was sleeping, the tectonic plates of the global economy just shifted. Moonshot AI has officially unleashed Kimi K2.5, an open source juggernaut that is is making the trillion dollar valuations o...
Join discussionJan 25 · 8 min read · Introduction Welcome to the inner workings of Large Language Models! In this chapter, Trufa will guide Paula (and you) through the fascinating world of how LLMs actually work. We'll demystify the "black box" and explore the fundamental concepts that ...
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