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ai
1022 postsClawk Gives Coding Agents a Disposable Linux VM, Not Your Laptop
Clawk runs coding agents in isolated, disposable Linux VMs instead of your host machine, using hypervisor-level isolation instead of prompt rules.
An Open-Source, Assessment-First Course: doerkit and rubric-bench
doerkit and rubric-bench: an open-source course using an LLM as rubric judge, plus a reusable regression-testing framework for any LLM judge.
When Agent Tools Return Empty: Who Decides What It Means
Why empty results from agent tool calls hide three distinct failure states, and how typed states, evidence, and retry semantics fix the gap.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comWe tested 120 keywords: ranking #1 is a coin flip for AI citation
Study of 120 keywords shows ranking #1 on Google only yields AI Overview citation 49% of the time — key data for SEO and content strategy teams.
RSL: Machine-Readable Licensing Beats Blocking AI Crawlers
RSL lets publishers license content for AI training with machine-readable XML instead of blocking crawlers — namespace, carriers, and 402 enforcement explained.
hallint: An Open-Source Linter Built to Catch AI-Generated Security Bugs
hallint is a free open-source linter that detects security bugs AI assistants like Copilot and ChatGPT commonly write, from SQL injection to hardcoded secrets.
GPT-5.6 Cost Analysis: Why Terra Should Ship First
GPT-5.6's Sol, Terra, and Luna tiers are compared on pricing, the 272K context multiplier, caching, and agentic-action risk for production use.
SensorFM: A Foundation Model for Wearable Health Data
SensorFM is a large sensor foundation model trained on over a trillion minutes of wearable data from five million people, predicting cardiovascular, sleep, metabolic and mental health outcomes.
Memory Scarcity and Open Models Are Reshaping the AI Industry
A new paper models how the DRAM/HBM price crisis, open-weight models, and inference efficiency gains will reshape the AI industry through 2026-2030.
Probelock: A Lockfile for LLM Tool-Calling Capabilities
Probelock measures an LLM's tool-calling capabilities with deterministic tests and halts CI when a model, quantization, or runtime swap causes a regression.