AI tooling updates across models and workflows #15
Today's Letter
- AtomicChat, Gemma 4 Assistant GGUF MTP set posted
- Academic Research Skills for Claude Code published on GitHub
AtomicChat, Gemma 4 Assistant GGUF MTP set posted
- AtomicChat posted a Hugging Face collection for Gemma 4 Assistant GGUF builds with MTP assistant drafters.
- The collection is described as speculative-decoding heads for the atomic-llama-cpp-turboquant fork.
- Listed quantization formats include F16, Q8_0, Q5_K_M, Q4_K_M, and Q4_K_S.
- The collection links four model repos: gemma-4-E2B-it-assistant-GGUF, gemma-4-E4B-it-assistant-GGUF, gemma-4-26B-A4B-it-assistant-GGUF, and gemma-4-31B-it-assistant-GGUF.
- The four repos are shown as updated 3 days ago on Hugging Face.
- The release packages Gemma 4 MTP drafter variants as GGUF files for llama.cpp-style local inference workflows.
Source: huggingface.co
More: github.com · atomic.chat
Academic Research Skills for Claude Code published on GitHub
- GitHub repository academic-research-skills presents a Claude Code skill suite for academic research workflows from research to publication
- The README positions it as a human-in-the-loop tool for reference gathering, citation formatting, data verification, logical consistency checks, and revision support
- Installation is described as a 30-second setup through the Claude Code plugin marketplace, with Claude Code CLI, VS Code, and JetBrains support on v3.7.0+
- The project suggests `/ars-plan` for paper-structure planning through Socratic dialogue, alongside a traditional symlink-based install path in the quick-start docs
- Repository structure includes modules such as academic-paper, academic-paper-reviewer, academic-pipeline, deep-research, agents, commands, hooks, scripts, and tests
- The README says Style Calibration learns from prior writing and Writing Quality Check looks for patterns associated with machine-generated prose
- The maintainers explicitly state the tool is not intended to write papers autonomously or obscure AI use, but to support researcher-controlled drafting and review
- The project cites The AI Scientist paper in Nature 2026 and an ICLR 2025 workshop result as context for its argument against full research automation
Source: github.com
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