Liliz-栗栗子

#AI #BTC #ETH #Cardano

[Liliz-栗栗子 @liliz_eth]

@web3_xiaoyao @GiveRep 持续关注

[Liliz-栗栗子 @liliz_eth]

@ANDREW_FDWT @HuoQubot

[GitHubDaily @GitHub_Daily]

GitHub 上有一份精心整理了最近爆火的 OpenClaw 技能合集，已收录了 700+ 个实用命令插件。

只需要在终端执行一条指令，就能像用 apt 或 brew 一样，快速安装和管理各种第三方插件与 Agent。

GitHub：https://t.co/aTYKlFSCg1

目前已涵盖代码分析、重构、安全审计、性能优化、自动化测试等十多个分类。

其中包括 Web 开发、浏览器自动化、图像生成、AI 模型集成、笔记管理、生产力工具等 30+ 个领域的技能。

[Kevin Ma @kevinma_dev_zh]

https://t.co/lEBRCr9M9q

[WY @akokoi1]

https://t.co/4vTTgmjkRn

[✧ 𝕀𝔸𝕄𝔸𝕀 ✧ @iamai_omni]

https://t.co/S5HpoS4WO3

[Liliz-栗栗子 @liliz_eth]

@quarktalksss 岛主出息了

[Liliz-栗栗子 @liliz_eth]

@Pascal_Laurent_ @HuoQubot @HuoQubot888

[Liliz-栗栗子 @liliz_eth]

RAG简介

[Liliz-栗栗子 @liliz_eth]

效果很好 很逼真哦

[Min Choi @minchoi]

This Veo 3 prompt is literally ~$100,000 VFX ad🤯

Prompt in comment

[AI Will @FinanceYF5]

终极 AI 产品经理学习路线图

扩展版，包含数十个资源：定义、课程、指南、报告、工具和逐步教程 🧵

[AI Will @FinanceYF5]

中国腾讯刚刚发布了HunyuanCustom。

这个AI可以将任何照片、语音或视频提示转化为电影级的剪辑🤯

10个疯狂的示例 + 立即试用 & 代码：

1. 替换视频中的任何人

[Liliz-栗栗子 @liliz_eth]

@wangzhian8848 @HuoQubot

[Pradeep Pandey @Div_pradeep]

Best alternative of paid AI tools:

1. Solve Anything
ChatGPT → Claude/Gemini

2. Text to Image
Midjourney → DALL-E-3

3. Text to Video
Synthesia → Invideo AI

4. Speech to Text
Trint AI → Audipen

5. Design
Canva Pro → Microsoft Designer

6. Copywriting
Writely → Copy AI

7. Meeting Note Taker
Fireflies → Laxis

8. UI/UX
Photoshop → Photopea

9. Website
Durable → 10 Web

10. AI Transcript
Podium AI → Auris AI

Stay ahead in the AI revolution with my newsletter! 🚀

Join 25,000 readers to get the latest AI insights, tools, tutorials, and guides.

Subscribe for free:

https://t.co/4XGkXGFjzl

[LangChain @LangChain]

📚 🔍 bRAG: Complete RAG Guide

A comprehensive project showcasing RAG implementations with LangChain - from basics to advanced features like multi-query retrieval, ColBERT indexing, and RAG-Fusion.

Check out this 1.7K+ starred guide 🚀
https://t.co/RgmhWR9LqT

[Poonam Soni @CodeByPoonam]

ChatGPT has now a serious competitor.

Convergence just dropped Proxy and it's INSANE

Here's everything you need to know so far:

[Autism Capital 🧩 @AutismCapital]

🚨BREAKING: TRUMP TO DEVELOP NATIONAL DIGITAL ASSET STOCKPILE PER FOX NEWS. IT'S HAPPENING ‼️

[Yann LeCun @ylecun]

Yes, I do.
LLMs produce their answers with a fixed amount of computation per token.
There is no way for them to devote more (potentially unlimited) time and effort to solving difficult problems. This is very much akin to the human fast and subconscious "System 1" decision process.

True reasoning and planning would allow the system to search for a solution, using a potentially unlimited unlimited time for it. This iterative inference process is more akin to the human deliberate and conscious "System 2".
This is what allows humans and many animals to find new solutions to new problems in new situations.

Some AI systems have planning abilities, namely those that play games or control robots. Game playing AI systems such as AlphaGo, AlphaZero, Libratus (poker), and Cicero (Diplomacy) have planning abilities. These systems are still fairly limited in their planning abilities, compared to animals and humans.

To have more general planning abilities, an AI system would need to possess a *world model*, i.e. a subsystem that can predict the consequences of an action sequence: given the state of the world at time t, and an imagined action I could take, what would be the set of plausible states of the world at time t+1.
With a world model, a system can plan a sequence of action so as to fulfill an objective.

How to build and train such world models is still a largely unsolved problem.
Even more complex is how to decompose a complex objective into a sequence of sub-objectives. This would enable hierarchical planning, something that humans and many animals can do effortlessly but is still completely out of reach of AI systems.

[Rahul @sairahul1]

Graphic designers will kill me for this.

But with AI, anyone can create a logo in mere seconds.

Here's a completely FREE way to do it: 👇