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elvis Profile picture
@omarsar0
Dec 5, 2018 • 9 tweets • 3 min read • Read on X
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A simple method for fair comparison? #NeurIPS2018 Image
Considerations: Image
Reproducibility checklist: Image
There is room for variability, especially when using different distributed systems: Image
Complexity of the world is discarded... We need to tackle RL in the natural world through more complex simulations. Image
Embedding natural background? Image
Set the bar higher for the naturalism of the environment: Image
You learn a lot by considering this idea of stepping out in the real world: Image
Reproducibility test: Image

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More from @omarsar0

elvis Profile picture
Nov 24
This is insane! 🤯

Just built a new skill in Claude Code using Opus 4.5.

The skill uses Gemini 3 Pro (via API) for designing web pages.

Look at what it generated from one simple prompt.
If you have been designing websites with Claude Code, you already know how generic they turn out.

So I built a skill that uses Gemini 3 Pro to lead creative direction and generate designs. It is extremely good at this.

Opus 4.5 then integrates all that into our app. Image
The prompt I used: "I want to design the landing page for a new AI game. We want it to be futuristic and all that, and use animations as much as possible."

I will test with some other prompts and see how far I can push this. But the results are very exciting already.
Read 6 tweets
elvis Profile picture
Nov 23
This is one of the most insane things Nano Banana Pro 🍌 can do.

It can reproduce figures with mind-blowing precision.

No competition in this regard!

Prompt: "Please reproduce this chart in high quality and fidelity and offer annotated labels to better understand it." Image
When I tried this for the first time, I didn't expect that this was possible.

The level of understanding this requires is what's remarkable about it all.

The levels of personalization this unlocks are also impressive.

"Can you convert it into a cartoonish version?" Image
Just look at this 🤯

"Can you create a delightful cartoonish version of this table. And please put cute colors and icons along with interesting annotations to make it more readable." Image
Read 6 tweets
elvis Profile picture
Nov 22
It's finally ready for you all to try!

Have fun generating interesting insights from AI papers with Nano Banana Pro 🍌.

(bookmark it)

I find this to be a fun and interesting way to explore with Nano Banana Pro, as I can just select a part of the paper and ask away.

Try remixing figures, reproducing charts, annotating equations, explaining math, and much more.

I am polishing it some more and have other ideas, but let me know if you have feedback in the meantime.

Works better on Desktop.

…dair-ai-181664986325.us-west1.run.app
You can try it by downloading a paper from arXiv or uploading a book or any technical document.
If you don't have a PDF to try, just click on one of the example papers provided: Image
Read 9 tweets
elvis Profile picture
Nov 10
This is a wild use case!

I used Gamma + n8n to automatically generate a complete presentation on AI Agents research.

In just minutes!

It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation).

Full workflow breakdown below 👇
1/ THE PROBLEM:

Creating visual content is time-consuming. Research takes hours. Writing requires deep focus. Design demands specialized skills.

What if AI could handle the entire pipeline?
2/ THE SOLUTION:

An n8n workflow that orchestrates Tavily for web research, GPT-5 for storytelling, Gamma for visual generation, and Google Sheets for tracking.

You provide a topic and audience. The system outputs a LinkedIn-ready carousel.
Read 9 tweets
elvis Profile picture
Nov 5
Confidence is everything when building great software.

Love how Yansu is approaching this.

Yansu is a new AI coding platform built by @isoformai for serious and complex software development.

It puts scenario simulation before coding.

Here is the sauce:
Yansu means "serious" in Chinese.

It cleverly brings human oversight to AI execution, combining humans in the loop, scenario simulation, and engineering discipline.

This allows builders to build efficiently, confidently, and more production-ready software.
Key feature #1: Specs Design

You can easily generate design specs, tasks, and dependencies automatically.
Read 8 tweets
elvis Profile picture
Oct 16
I am not going to lie.

I see a lot of potential in the Skills feature that Anthropic just dropped!

Just tested with Claude Code. It leads to sharper and precise outputs.

It's structured context engineering to power CC with specialized capabilities, leveraging the filesystem. Image
I think it might be one of the best ways to really tap into the full potential of Claude Code.

Tune instructions, output formats, use of scripts, tools (MCP or otherwise), and more.

For specialized tasks, CC outputs dumb stuff at times; the idea here is to scope CC on demand.
An easy way to try Skills in Claude Code is by asking it to help you build one. I am surprised by how aware it is of Skills and how to build comprehensive ones.
Read 7 tweets

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