2026-07-04

PorTAL: Portable Task Adapters for LLMs

@RampLabs · 13.4K 粉丝 · 335.4K 阅 · 507 赞 · 45 转

07/02 02:09

Researcher: Ben Geist Abstract Parameter-efficient fine-tuning (e.g. LoRA) adapts a frozen LLM to a task, but the resulting adapter is locked to one base model. When a new model is released, the

中文介绍 研究论文提出PorTAL方案，解决LoRA等参数高效微调方法中适配器被锁定到特定基础模型的问题，使微调结果能在不同模型间迁移。

How To Master Fable (Fundamentals Guide)

@milesdeutscher · 671.1K 粉丝 · 243.8K 阅 · 500 赞 · 73 转

07/02 02:13

TL;DR: Everything you need to do to get maximum value from Fable. I guarantee that after you're done reading, you'll have all the necessary tools to quite literally 10x your AI productivity with

中文介绍 Fable工具入门指南，提供从基础到进阶的完整方法论，声称掌握后可将AI生产力提升10倍，涵盖核心功能配置与最佳实践。

Career advice in the age of AI

@philhchen · 9.1K 粉丝 · 179.1K 阅 · 516 赞 · 34 转

07/03 05:25

AI models get better at anything you can write a loss function for, and school is mostly loss functions: well-defined problems graded against known answers. Therefore, the valuable work of the next

中文介绍 探讨AI时代职业规划，指出AI在损失函数明确的任务上优势明显，而学校教育多基于此模式，未来真正有价值的工作将转向更复杂的领域。

Toward Unrestricted Intelligence: Venice Series A

@ErikVoorhees · 908.5K 粉丝 · 124.8K 阅 · 529 赞 · 103 转

07/01 22:28

“If others possess your thoughts and constrain your words, then you exist at their permission, and you are not free.” —Anonymous Venice launched just over two years ago to create a private and

中文介绍 Venice完成A轮融资，该公司致力于构建隐私优先的AI产品，强调用户思想自主权，不让他人生成内容约束用户表达，两周年推出新里程碑。

How to build a second brain with Fable 5

@EXM7777 · 121.1K 粉丝 · 83.6K 阅 · 518 赞 · 48 转

07/03 22:06

I'm going to show you, step by step, how to turn Fable 5 into a machine that knows your business inside out... and ships outputs that look nothing like what everyone else is getting the tool is a

中文介绍 Fable 5进阶教程，通过逐步配置将其打造成深度理解个人业务的第二大脑，输出质量远超普通用户，强调系统化知识管理与工作流。

THE MOST VALUABLE THING YOU CAN DO WITH FABLE 5 IN THE NEXT 24 HOURS

@AlexFinn · 459.5K 粉丝 · 72.5K 阅 · 565 赞 · 34 转

07/03 08:20

If the first thing you did with Fable 5 was vibe code, you're using it wrong. Fable 5 isn't a vibe coding tool. It's an operating systems tool. Let me explain. Fable 5 is the first model I've ever

中文介绍 Fable 5使用指南指出，不应仅将其视为vibe coding工具，而应作为操作系统级工具使用，掌握核心定位才能在24小时内发挥最大价值。

Agentic Autonomy Levels

@addyosmani · 404.9K 粉丝 · 53.5K 阅 · 525 赞 · 66 转

07/03 11:29

In most conversations about agentic engineering, the action has changed from prompting to operating. Here's a frontier looking into the fog: software factories, goals, loops, background sessions,

中文介绍 提出Agent自主性分级框架，分析代理工程从prompting向operating的转变，涵盖软件工厂、目标驱动和后台会话等前沿方向。

A Field Guide to Fable: Finding Your Unknowns

@trq212 · 299.3K 粉丝 · 40.1K 阅 · 534 赞 · 43 转

07/04 01:43

Working with Claude Fable 5 keeps re-teaching me an old lesson: the map is not the territory. The map, a representation of the work to be done, is my prompts and skills and context, it’s what I give

中文介绍 Fable使用心得，强调提示词、技能和上下文构成的是「地图」而非真实工作，持续使用会反复验证这一认知，需要找到未知领域。

Fable is back, here's how I use it in Cursor

@ericzakariasson · 76.4K 粉丝 · 37.9K 阅 · 567 赞 · 24 转

07/02 19:10

Fable is back in Cursor, and here's a pattern I've been exploring and some other ways I've been getting the most out of the model. Fable as orchestrator, Composer as workers It's easy to put

中文介绍 Fable重新集成Cursor后的使用模式，采用Fable作为编排者、Composer作为工作者的分工策略，分享最大化模型效能的具体配置方法。

Your One-Page PyTorch Training Pipeline Cheat Sheet.

@0xkozue · 690 粉丝 · 24.9K 阅 · 501 赞 · 46 转

07/02 17:03

The entire engine of Deep Learning works by making tiny, continuous adjustments to a model's weights. This is my PyTorch training pipeline cheat sheet. If you spot any mistakes or have suggestions for

中文介绍 PyTorch训练流程速查表，系统梳理深度学习训练中模型权重持续微调的核心机制，帮助开发者理解训练引擎工作原理并快速查阅参考。

Building Infra for the Agent-Native Internet: June Recap, July Vision

@OptimaiNetwork · 99.8K 粉丝 · 7.8K 阅 · 540 赞 · 351 转

07/01 23:05

The AI industry is entering a new phase. The conversation is no longer centered on models alone. Increasingly, it is about infrastructure: how intelligent systems access knowledge, coordinate with one

中文介绍 Optimai网络6月回顾与7月展望，指出AI行业进入新阶段，讨论重点从模型转向基础设施，关注智能系统如何访问知识与协调协作。

Google DeepMind and A24 announce first-of-its-kind research partnership

DeepMind Blog · 07/03 22:25

中文介绍 Google DeepMind与A24宣布启动全球首个AI与娱乐行业研究合作，双方将共同探索AI技术在内容创作领域的应用，具体细节尚未披露。

AIEWF Daily Dispatch: The great loops debate and the state of AI engineering

Latent Space · 07/03 13:11

The AI Engineer World’s Fair ended with a debate about loops, a report on the state of AI engineering, and closing keynotes focused on what to build next.

中文介绍 AI工程师世界博览会（AIEWF）闭幕辩论聚焦代码循环设计，发布AI工程现状报告，闭幕演讲探讨未来开发方向。

Vercel's Andrew Qu on why agents are a new kind of software

Latent Space · 07/03 08:08

The Vercel Chief of Software explains how its agent framework, eve, was created — and why skills, sandboxes and agent-readable websites now matter.

中文介绍 Vercel首席软件官Andrew Qu解析其代理框架eve的构建，强调技能、沙箱及可被代理读取的网站对代理软件开发的重要性。

Meta Watermelon 🍉, Anthropic Samsung chips 🤝, autoresearch in practice 📈

TLDR AI · 07/03 08:00

中文介绍 Meta推出Watermelon项目，Anthropic与三星展开芯片合作，Google Gemini Flash升级，ZCode获进展。

The website of the future may assemble itself for every visitor

Latent Space · 07/03 05:25

Adobe is experimenting with “agentic sites” that generate pages around an individual user’s intent. At AIEWF, we talked to Carlos Sanchez about the Web's future.

中文介绍 Adobe试验「代理网站」，可为每位访问者生成个性化页面。AIEWF会议上，Adobe的Carlos Sanchez讨论了网络未来的发展方向。

Achieving operational excellence with AI

MIT Tech Review AI · 07/02 23:37

Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity in the chaos—a structured way to bring order to messy, sprawling operations. Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-to-end maps of how wo

中文介绍 MIT科技评论指出，AI结合精益六西格玛和业务过程管理（BPM）框架，帮助企业实现运营卓越，提升流程效率与质量。

Skill engineering and the case against one-shot AI design

Latent Space · 07/02 22:36

Paul Bakaus talks to us about Impeccable, human judgment in a 'loopmaxxing' era, and why agents still need people to steer them.

中文介绍 Impeccable创始人Paul Bakaus探讨技能工程化，强调在「循环最大化」时代人类判断力对指导AI代理的关键作用。

Teaching AI to run with the turbines

MIT Tech Review AI · 07/02 20:51

Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfolding far from consumer-facing tools. In industries where physical infrastructure, operational continuity, and safety are paramount, AI is beco

中文介绍 MIT科技评论报道，AI在工业基础设施、运营连续性及安全领域的应用日益关键，如AI辅助风力涡轮机运行优化。

[AINews] not much happened today

Latent Space · 07/02 15:10

another quiet day.

中文介绍 今日AI新闻汇总显示行业活动较少，仅少数技术更新发布，整体处于相对平静状态。

AIEWF Daily Dispatch: Autoresearch and the tension between AI and human agency

Latent Space · 07/02 14:13

The software factory vision met resistance today from speakers defending human understanding and control.

中文介绍 AIEWF每日快报指出，软件工厂愿景遭遇质疑，演讲者强调需保留人类理解与控制在AI开发中的核心地位。

not much happened today

Smol AI News · 07/02 13:44

**Fullstack Code Arena** extends coding agent evaluation to include **databases, API keys, deployments, and structured tool use**, marking a shift to end-to-end app shipping. **LangChain** released **LangSmith** with unified tracing and **OpenWiki** for auto-generated docs, while **LlamaIndex** demo

中文介绍 Fullstack Code Arena扩展代码代理评估至数据库、API部署等全端应用。LangChain发布LangSmith统一追踪工具及OpenWiki自动文档生成。

Gemini Flash upgrade ⚡️, Meta AI cloud 🌐, ZCode 👨‍💻

TLDR AI · 07/02 08:00

中文介绍 Google Gemini Flash升级，Meta推进AI云服务，ZCode在编程领域取得进展，行业焦点集中于技术迭代与应用拓展。

Autoresearch: The feedback loop behind self-improving agents

Latent Space · 07/02 07:52

Introspection co-founder Roland Gavrilescu explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory.

中文介绍 Introspection联合创始人Roland Gavrilescu阐述自动研究机制，解释代理通过反馈循环自我改进，并强调人类在软件开发中的核心作用。

How Cursor deploys AI inside the enterprise

Latent Space · 07/02 03:03

Cursor's Pauline Brunet explains how her team of Forward Deployed Engineers help organizations implement agents — essentially setting up software factories.

中文介绍 Cursor高级部署工程师Pauline Brunet介绍，其团队通过企业内部署AI代理，帮助组织建立「软件工厂」以提升开发效率。

🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI

Latent Space · 07/01 22:42

Why the Llama lead left Meta for drug discovery, PEARL's zero-shot OpenBind win, and what becomes possible when co-folding finally crosses the accuracy threshold.

中文介绍 Meta前Llama负责人Evan Feinberg加入药物发现公司Genesis Molecular AI，团队在蛋白质折叠研究取得突破，推动AI制药应用。