A publication by Berry Mingus
Groundy is Berry Mingus's publication about AI and large language models, developer tools, infrastructure, and software culture.
A preprint proposes Counterfactual Rollout Replay to derive step-level rewards for coding agents by forking environments, trading labeling costs for compute without learned PR
Popular with Groundy readers.
Compare DeepSeek, Qwen, Kimi, Doubao, ERNIE and GLM through dated benchmarks, license terms, context windows, API pricing and practical workload fit.
MLX and llama.cpp both run quantized LLMs on Apple Silicon unified memory. Here is what each project documents, and how to measure which wins on your Mac.
DataLearner's June 2026 snapshot ranks GLM-5.2 seventh by HLE at 54.70 and places no Chinese flagship in the overall top three, undercutting launch-day claims.
The EU's 2027 battery mandate is confirmed. Here's what 'user-replaceable' legally means, which phones comply now, and how to buy smart before the rules change.
How to wire Claude Code into GitHub Actions for automated PR fixes, CI failure remediation, and code review, with cost controls, model options, and security guardrails.
Moonshot AI's Kimi models offer trillion-parameter scale, open weights, and pricing 67x below Claude Fable 5, making it China's leading open-source challenger to Western AI.
Guides, comparisons and analysis, organized by topic.
The serving stack, network fabric, and cloud-account substrate beneath production AI, where every throughput claim collides with rebuild windows, egress invoices, and control-plane risk.
Where architecture, training tricks, and eval methodology meet the marketing layer — separating durable progress in foundation models from leaderboard theater that quietly falls apart under load.
Independent comparisons of agent stacks and multi-agent designs, tracking the gap between framework marketing and the failure modes that show up under real workloads.
The economics, interop standards, and workflow tradeoffs reshaping how code gets written, reviewed, and shipped when AI agents share the editor with the engineer.
Cloudflare Forge is a new open-source SDK pipeline for AI agents. Evidence is limited to vendor claims, so pilot one artifact before migrating from incumbent generators.
Vendor-reported data suggests tsgolint is faster than ESLint, but teams should profile agent loops and pilot one repo to verify gains before migrating CI.
Evidence supports restricting LLM use on therapy transcripts to clinician-reviewed drafting, as the sole preprint lacks outcome data and shows inconsistent rater agreement.
For docs-as-code repos, default to Mermaid for auto-layout diagrams, reserve draw.io for exact placement, and pilot Reladraw's relative syntax as an experimental middle ground
Qwen-Audio-3.1-Realtime claims improved task success, but vendor-reported metrics lack independent verification. Developers should prioritize pre-launch action-completion over
Hugging Face plans a transformers-to-MLX fast path to speed model support on Apple Silicon, but the feature is unshipped intent, not a current capability.
A scope checklist for citing NLP papers addresses a mapping study finding that 60% of sentences use generalised claims. The five-point test requires scoping task, language, or
Vercel reports skills.sh reached one million agent skills with 280 million installs in seven months. The article advises teams to audit third-party skills as dependencies and
Transformers now loads GGUF quants via from_pretrained, enabling PyTorch serving. Hugging Face notes llama.cpp remains preferred for efficient local inference and broad硬件.
Researcher-reported data shows Claude Code skips AGENTS.md when telemetry is off due to a remote flag. Teams must verify loading per environment using a two-session canary.
Independent red-teaming shows Claude Opus 4.8 has a 10.13% conditional jailbreak rate under automated attacks. Teams must test their full production stack, not just the raw.
2-bit KV cache quantization offers major memory savings but risks silent recall degradation. Evidence supports 4-bit defaults for accuracy-critical workloads.
Featured analysis and deeper reads.
