The LinkLoot Blog

Guides, curated finds, comparisons, and community recommendations – useful and easy to scan.

Editorial hub

Knowledge & Learning: more articles, news, and guides

This category page stays filterable but now also exposes real archive links for follow-up and neighboring pages.

Blog archiveComparisons, guides, and context.NewsroomPlatform signals, updates, and quick briefings.Guide hubsTopic hubs for deeper research.

All articles in Knowledge & Learning

Knowledge & Learning

6/17/2026 3 min

@ZachasADMIN

CoDA-Bench tests whether coding agents can find the right data before writing code

CoDA-Bench is a new ICML 2026 benchmark for code agents that must search noisy data folders, identify relevant files, write code, and answer analytical questions.

Knowledge & Learning

6/15/2026 3 min

@ZachasADMIN

Evaluation Cards exposes why AI benchmark scores are hard to trust

EvalEval's beta Evaluation Cards project maps AI evaluation results with reproducibility, completeness, provenance, and comparability signals.

Knowledge & Learning

6/12/2026 3 min

@ZachasADMIN

Agents' Last Exam tests AI agents on real professional workflows

Agents' Last Exam is a new Berkeley-led benchmark for computer-use AI agents, with long-horizon professional tasks, verifiable outcomes, public tooling, and early results showing wide gaps on hard real-world work.

Knowledge & Learning

6/12/2026 4 min

@ZachasADMIN

Hugging Face benchmark tests voice agents on code-switched customer speech

ServiceNow-AI published a Hugging Face benchmark and dataset for code-switched ASR, testing how voice-agent transcription handles Spanish-English, French-English, Canadian French-English, and German-English support scenarios.

Knowledge & Learning

6/9/2026 3 min

@ZachasADMIN

New arXiv Paper Tests Compact Models Against LLMs for Multilingual Fact-Checking

A June 2026 arXiv paper from Factiverse reports that compact fine-tuned models can stay practical for multilingual fact-checking when latency, cost, and privacy matter.

Knowledge & Learning

6/4/2026 3 min

@ZachasADMIN

SkillOpt trains agent skills as editable artifacts, not model weights

SkillOpt is a Microsoft Research project and arXiv paper that treats natural-language agent skills as trainable external state, using scored rollouts, bounded edits, and held-out validation instead of model fine-tuning.

Scroll to load more