I’ve been testing Alibaba’s HappyHorse 1.0 all day and honestly… this thing is getting scary good.
I used it to generate:
• a Mafia-style crime trailer
• an open-world survival game cinematic
• realistic action scenes with consistent motion + transitions
And the craziest part:
All of these clips started from simple prompts.
Here’s what I made with it 👇
The more I think about it, the more this makes sense.
Most AI video tools are being judged for output quality when the real issue starts much earlier. We're giving them instructions built for websites, then wondering why the result feels like a presentation deck.
Changing the language the model works from feels like a much bigger unlock than another model upgrade.
Introducing frame.md, a spec built for videos & motion
design.md kept your brand consistent across screens
but when applied to videos, agents translated it back into webpages and decks
frame.md teaches your agents how to make branded video
turn your design.md into frame.md ↓
Introducing frame.md, a spec built for videos & motion
design.md kept your brand consistent across screens
but when applied to videos, agents translated it back into webpages and decks
frame.md teaches your agents how to make branded video
turn your design.md into frame.md ↓
One of the most annoying parts of making software content is getting the visuals right.
The actual idea takes minutes to explain.
Making the terminal or editor look presentable can take longer than the video itself.
This is the kind of shortcut I wish existed a lot earlier.
hey builders! showcasing your code & CLI w @HyperFrames_ got 10x easier
We open sourced accurate, pre-built UI components
A Mac terminal. A VS Code window. Free.
One command to install
$ npx hyperframes add code
Swap in your own code or commands and go
hey builders! showcasing your code & CLI w @HyperFrames_ got 10x easier
We open sourced accurate, pre-built UI components
A Mac terminal. A VS Code window. Free.
One command to install
$ npx hyperframes add code
Swap in your own code or commands and go
Now I get why Tencent WorkBuddy became China’s #1 PC productivity AI agent by daily active users after launch.
What stood out most:
• easy setup
• 100+ built-in Experts
• Expert Teams
• MCP integrations with GitHub, Gmail, Notion, Slack, etc
• local permission controls
It feels less like a chatbot and more like an actual AI teammate.
@TencentAI_News
https://t.co/PA8FaPSdoh
I tried replacing one of my actual workflows with Tencent WorkBuddy.
Not just asking AI questions.
I mean the full process:
• reading files
• analyzing data
• creating slides
• writing summaries
• exporting deliverables
…and it actually worked. 🧵
Then I tested the remote control feature.
Connected Tencent WorkBuddy to Telegram and sent another task from my phone while away from my desk.
Came back to updated files waiting on my PC.
That part honestly felt futuristic.
Introducing UGC-style video 🎈🛼
No creator? No problem. Pick an AI avatar, play around with the accent, captions, and browse through a whole library of styles. There’s something for every brand.
Only 9h: RT, like, follow, and comment "Like" for 500 credits.
7/ We’re heading toward a world where everyone has agents running tasks constantly in the background.
Research.
Ops.
Monitoring.
Applications.
Booking.
Data collection.
The browser becomes the workspace for both humans and agents together.
That’s the bet ego lite is making.
And honestly, I think they’re early in the right direction.
Most AI browser demos still break the second things get real.
Tabs collide.
Sessions die.
Agents lose context halfway through a workflow.
ego lite is the first browser I’ve seen that actually feels built for agents instead of forcing agents into a browser that was never designed for them.
Your tabs stay yours.
Agents run in parallel inside their own Spaces.
And tasks finish faster using fewer tokens.
Here’s why I think this matters 👇
6/ I also think they’re right about something else:
Browsers were never designed for agents.
Most current tools feel like patches trying to force compatibility into systems that were built only for humans clicking around manually.
ego lite feels like one of the first serious attempts at rebuilding that interaction model from the ground up.