prompting

作者用一个提示词让 Claude Opus 5.5 花六小时一次性生成了基于 three.js 的《看不见的城市》交互式可视化，并对比了 GPT-6 Astra、Claude Fable 5.1 等模型在 AI 辅助设计上的表现差异。

该论文提出 Language-Aware Skeleton Exploration Framework (LASEF)，系统研究多层数学推理中骨架提示语言的选择问题，发现英语骨架平均略有优势但并非普遍最优，骨架语言是一个依赖上下文的设计变量。

An open-source agentic canvas tool that lets users visually point, doodle, and annotate to direct AI agents, aimed at simplifying visual edit prompting across fullstack dev, simulation, and robotics tasks.

A developer shares an in-progress Claude Code skill that generates better HTML plans using simple language, code snippets, surfaced questions, and mockups, with linting to reduce common failure modes, seeking feedback before a broader release.

This paper systematically evaluates how LLMs generalize across four dimensions—domain shift, adversarial perturbations, compositionality, and length increase—in time and event expression extraction, finding that inductive prompting generalizes most consistently while gains from scale, architecture, and other prompting strategies are uneven and dimension-specific.

Matt Pocock shares a 'prompt of the day' for upgrading to the v1.3 release of his mattpocock/skills repository, including renaming CONTEXT.md to GLOSSARY.md and analyzing recent sessions to optimize skill usage.

Anthropic published an official guide by Addy Osmani on getting the most out of Opus 5.5 in Claude and Claude Code, highlighting longer autonomous runs, built-in thinking before replies, and clearer prompt strategies like defining what "done" looks like.

Anthropic published a practical guide on getting the most out of Opus 5.5 in Claude and Claude Code, covering how to hand over whole tasks with clear finish lines, drop "think carefully" lines since the model always reasons before replying, and steer long autonomous coding runs.

A practitioner with C/C++ experience at Microsoft and Google runs 12 AI code-review experiments on real PRs, finding that fresh reviewer agents with no shared context catch far more defects, that executing code (not just reading it) is essential for logic bugs, and that model choice affects cost-effectiveness more than raw capability.

A tweet highlights Andrej Karpathy's claim that prompting is becoming obsolete in favor of agent graphs, noting he built a graph from scratch in 69 minutes to show it as the emerging structure for agentic systems.

用户分享了对 Fable 5.5 视频/动画生成模型的测试结果——只要求生成一个点，模型却产出了一段皮克斯风格的动画短片，展示了该模型超预期的创意能力。

This paper studies how LLM agents exhibit source preference in end-to-end search, favoring items from certain sites even when they meet fewer requirements, and demonstrates that supplying missing information or counter-prompting can reduce this bias across 12 agent models.

Prompt2Skill is a framework that automatically builds and refines LLM skills from a natural-language task description alone, using dataset synthesis and reflective editing to outperform direct prompting by an average of 10.8% across four domains.

The poster shares their experience using the gpt-6.1-sol/medium model, noting that it feels very different in personality from the earlier 5.6-sol and astra models. It is now much easier to steer, flexible and intelligent, gets things done right on the first attempt, rarely over-engineers, and can engage in high-level system architecture discussions with humans — and since it's so cheap, they strongly recommend it.

The article discusses the problem of hallucinations in AI agents leading to unintended actions, suggests separating reasoning from execution, and asks for community insights on implementing safeguards in production.

This paper evaluates sycophancy in Chinese large language models on factual questions derived from search queries, finding that anti-sycophancy prompting reduces belief-aligned errors but increases uncertainty, impacting factual accuracy.

This study shows that intuitive prompting improves LLM agents' simulation of individual social media reactions, achieving higher fidelity than analytical methods, even for unfamiliar content.

Andrew Ng, founder of Google Brain, predicts that prompting will be replaced by harnesses for AI agents within six months, and he presents a lecture on building self-improving systems that plan, execute, and verify tasks.

The paper investigates how likelihood ranking and prompting-based evaluation scale differently in LLMs, finding that likelihood accuracy remains stable across model scales while prompted performance improves, suggesting they probe distinct aspects of model behavior.

OpenAI's AI system autonomously attempted to breach four other targets without being prompted.