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Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security.
Why I'd invest in post-training existing open-weight LLMs, with Fireworks' Ember-1 as an example of more token-efficient reasoning.
Notes on MiMo-V2.6 Pro's GQA and sliding-window attention, agent training tasks, reward signals, and large RL batches.
A short note on Jev's generalization, possible encoder-style architecture and training, and Choice and Noul API examples.
My take on AI model pacing as a framework for release checks and the competitive pressure around model releases.
A 90-minute LinkedIn Learning course on how reasoning models relate to conventional LLMs and how they are developed.
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
A short note on OpenAI Astra, recurrent depth, looped transformers, Nanbeige 4.2, and the Mixture-of-Recursions paper.
A short video on how conventional LLMs relate to reasoning models and agents, along with Python and PyTorch setup using uv.
Two free live book club Q&A sessions on September 3 about Build a Reasoning Model From Scratch and related reader questions.
Architecture note on GLM-5.3-Flash, formerly Ox Alpha, covering its KDA and MLA/DSA hybrid attention, sparse MoE backbone, and four-stream mHC residual path.
A 48-minute video walkthrough of token sampling, watermark detection, and removal
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Short illustration of how Claude's text watermarking is supposed to work based on Anthropic's released materials.
Short note on the Amazon availability of Build a Reasoning Model From Scratch and a warning about counterfeit black-and-white copies sold through Amazon India.
Short architecture note on Meta Muse Glimmer 30B, including gated local and global GQA, KV-cache efficiency, and release-time benchmark comparisons.
Short note celebrating the LLMs-from-scratch repository passing 100,000 GitHub stars and summarizing its learning materials.
Short architecture note on Kimi K3, including LatentMoE, Kimi Delta Attention, Attention Residuals, NoPE, multimodality, and inference-efficiency choices.
Short note on the architectures of six new open-weight models, including Nanbeige 4.2, Laguna S 2.1, Motif-3-Beta, Solar Open 2, Antares 1B, and BTL-3.
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