WhinyPuppy🐶

💻 Big Tech Engineer & AI Power User

🚀 $10K+/mo side hustle builder

👥 Helping people make money with AI

[WhinyPuppy🐶 @ChatGptB0T]

list of 10 best AI researchers on X:

@karpathy
= King of Large Language Models
@steipete
= Founder of OpenClaw
@gregisenberg
= King of Startup Ideas
@ChatGptAstra
=King of AI in the Chinese world
@jackfriks
= King of Solo App Development
@levelsio
= King of Entrepreneurship
@jiroucaigou
=The ultimate fusion of Web3 and AI.
@eptwts
= King of AI Money-Making on Twitter
@godofprompt
= King of Prompt Engineering
@vasuman
= King of AI Agents

[WhinyPuppy🐶 @ChatGptB0T]

@samongaro_ My job is to connect sellers with buyers. Whenever the offer is right and demand is strong, I bring them together.

[WhinyPuppy🐶 @ChatGptB0T]

@mdancho84 Strongly agree. This course is exactly how I got so good at using AI.

[WhinyPuppy🐶 @ChatGptB0T]

That's incredibly f*king treasure!

You can learn how to build AI Harness through this free course, which includes 14 lectures and 8 hands-on projects.

Even total beginners can pick it up. Just start!

Link:https://t.co/Kb7pSrovLA

[WhinyPuppy🐶 @ChatGptB0T]

@matthias_mrc marketing absolutely

[摸鱼巨匠🔨 @ChatGptAstra]

做一条有质感的动效视频，以前是一件门槛很高的事。你需要写脚本、画分镜、定风格，再交给设计师和剪辑师，把脑海里的想法一点点变成关键帧，最后塞进复杂的时间线里。

但现在用 Pexo，几句对话就可以搞定

像我这个视频，我是直接告诉它：“帮我做一支30秒的产品发布视频，黑白极简、杂志排版，整体节奏利落。开头讲清用户痛点，中间展示产品界面，最后落到品牌名称。”

接下来，Pexo 会理解你的创作意图，规划脚本与分镜，组织画面、动效和音乐，并生成一版完整视频。

你不需要研究提示词，也不用判断该选择哪个模型，只需要像和创作搭档沟通一样，继续告诉它哪里需要调整。

“开头再快一点，产品界面不要像普通录屏，换成更干净、更��空间感的 UI Motion。”

“结尾多停留两秒，让音乐自然收住，再输出一个适合社交媒体发布的竖屏版本。”

几轮对话之后，一条包含画面、文字动效、配音、字幕、音乐和完整节奏的视频就完成了。

Pexo 不只是生成几个视频片段，再把后续工作留给你。它会根据不同画面的特点选择更合适的制作方式：真人、商品和动态场景可以使用生成式视频；产品界面、文字排版以及需要精确控制的内容，则可以交给 Motion 动效。不同能力在同一个创作过程中被自动组织起来，最终交付的是一条可以继续修改、也可以直接发布的完整视频。

过去，我们需要先把创意翻译成脚本、分镜、关键帧和时间线，才能让它真正动起来。现在，你只需要把脑海里的画面说清���。

不会写复杂提示词，不熟悉剪辑软件，也不需要在不同工具之间反复搬运素材。哪里不满意，就继续说；想换风格、调节奏或者修改某个镜头，也只需要再补充一句。

[WhinyPuppy🐶 @ChatGptB0T]

If nobody likes my post I won't keep posting from then now

[WhinyPuppy🐶 @ChatGptB0T]

@danellisona I want to know!

[WhinyPuppy🐶 @ChatGptB0T]

https://t.co/3AGj99CcKo

[WhinyPuppy🐶 @ChatGptB0T]

Looking for an AI employee? Give this project a try!

Each agent has a defined role—executive, engineer, or marketer. You can choose an agent’s role to suit your preferences, and each agent gets a specific budget and tasks tied to the company’s broader goals, instead of a random to-do list.

The project has now hit 85k stars on GitHub!

Link below.

[WhinyPuppy🐶 @ChatGptB0T]

@_avichawla Perfect roadmap, thanks bro

[WhinyPuppy🐶 @ChatGptB0T]

Nadella says the core value of SaaS is shifting: business logic is moving from software applications to AI agents.

Traditional SaaS is essentially a “CRUD database with business logic.” In the future, applications may be reduced to simple databases or tools, while intelligence, orchestration, and reasoning are handed off to AI agents.

AI agents become the “brain” and the workforce: they pull in data on demand and execute tasks across systems, so users no longer operate multiple applications directly.

Value shifts from “application features” to “governance and control.” Enterprises will still need systems of record, but their role becomes the control plane for agents, providing permissions, compliance, auditing, and security.

Business models are being disrupted: the foundation for seat-based pricing is eroding, and pricing will shift increasingly toward usage-based, outcome-based, or hybrid models.

[WhinyPuppy🐶 @ChatGptB0T]

This is f**king treasure!

Here are 9 examples of Jev applications that can be directly applied to your products!

1. JEV × Hermes Agent
Route decisions into autonomous agent workflows.
https://t.co/Af9liOUVke

2. JEV × LangGraph
Use JEV as the decision layer in graph-based agent workflows.
https://t.co/39M5Vn3Adf

3. JEV × MCP SDK
Let JEV decide the next tool or action to run.
https://t.co/olvJvi3Rer

4. JEV × Temporal
Use JEV decisions in durable workflows.
https://t.co/M2zfsFXcQK

5. JEV × E2B
Combine narrow decisions with sandboxed code execution.
https://t.co/UALufiR3qL

6. JEV × Meilisearch
Retrieve relevant context before making decisions.
https://t.co/kBIvqMv6i2

7. JEV × Qdrant
Score decisions based on vector-retrieved evidence.
https://t.co/nL00Ity8UU

8. JEV × Docling
Turn documents into structured context for JEV.
https://t.co/rgAGVN9Y5p

9. JEV × Graphiti
Use graph memory to provide better context for JEV.
⁠ https://t.co/RamNDuAYwO ⁠

Here's how to improve your workflow👇

[摸鱼巨匠🔨 @ChatGptAstra]

https://t.co/IuhI1Jo0DZ

[WhinyPuppy🐶 @ChatGptB0T]

@vikktorrrre Lol so f**king incredible

[WhinyPuppy🐶 @ChatGptB0T]

https://t.co/R5kf76UUar

[WhinyPuppy🐶 @ChatGptB0T]

So f**king insane!

A solo dev just launched a 100% free and Open-Sourced alternative of ElevenLabs.

Here's what it can do:
1.clone a voice from a clean reference audio clip.
2.generate audiobooks, dictation and transcriptions.
3.choose from 14 engines not one.
4.dub any video from 646 languages

Repo link below👇

[WhinyPuppy🐶 @ChatGptB0T]

@matthias_mrc NO, my bro

[WhinyPuppy🐶 @ChatGptB0T]

@kamilbaranek_ I use deepseek and kimi very ofen

[WhinyPuppy🐶 @ChatGptB0T]

@danellisona Very sad, very down just like me