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THESE ARE 9 PLACES WHERE YOU CAN FIND REMOTE WORK THAT PAYS IN USD FROM ANYWHERE IN THE WORLD: 👇
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Most students use AI for research completely wrong.
They ask:
“Write my research paper.”
That gives you words.
Not good research.
Here’s a 5-step AI research system to go from a blank page to a properly researched draft:
🧵👇
Claude has Eyes Now!
Claude can now browse the web using 15x fewer tokens than Playwright MCP.
Vercel’s new Agent Browser gives Claude its own browser session, without flooding the context window with screenshots.
The key change is simple:
Instead of sending screenshots of every page state, Agent Browser exposes the browser through the accessibility tree.
Every actionable element gets a reference:
@e1 = button
@e2 = input
@e3 = link
Claude can then directly interact with those elements:
Click @e1.
Type into @e2.
Read the updated page.
This removes a huge amount of unnecessary visual context.
Vercel says Agent Browser uses around 15x fewer tokens than Playwright MCP.
That matters because browser agents usually burn context not on reasoning, but on repeatedly understanding what is already visible on screen.
With Agent Browser, more of the context window stays available for the actual task, instructions and reasoning.
The interesting shift is not that Claude can “see” the browser.
It is that Claude now gets a much more efficient representation of the browser to act on.
We don’t need AI assistants that give us another list of things to do.
We need ones that actually do the thing.
Catch is interesting because it takes the boring work executives constantly push around: scheduling, email, travel, operations, and just handles it.
The real AI upgrade might not be smarter answers.
It might be fewer tasks coming back to you.
A new approach to scaling dexterous robot data:
One of the biggest challenges in physical AI is collecting high-quality real-world data that can actually transfer to the robot hardware being trained.
A new integrated system called TwinDEX from X Square pairs a wearable data-collection device with a structurally matched dexterous robot.
The idea is simple but interesting: humans can capture demonstrations without directly operating a robot, while the system preserves the motion, contact, and visual information needed for training.
Early results show promising performance on complex, contact-rich tasks including tool use, fine manipulation, and coordinated actions.
As robotics moves toward more capable physical AI systems, scalable data collection could become just as important as the models themselves.
This new technical approach offers an interesting direction for building real-world robotics datasets at scale.
Paid vs Free
Why pay more when free alternatives can get the job done?
Netflix → Tubi
ChatGPT → DeepSeek
CapCut → Edits
PowerPoint → Google Slides
Midjourney → Ideogram
Canva Pro → MS Designer
Try free first. Save money. Work smarter. 🚀
Which one are you choosing? 👇
🚨 GEMINI JUST GOT AN AGENT BRAIN.
Google upgraded Gemini Spark with Gemini 3.7 Flash — built for coding, multi-step tasks and agent workflows.
Most people will still use it like a chatbot.
Here are 8 prompts to make it work like an AI operator. 🧵
AI tools are moving fast. 🚀
From ChatGPT, Canva & Perplexity to Midjourney, Runway, ElevenLabs, Gamma, Mistral AI & Zapier — this map shows the tools shaping the AI landscape. 🤖
Save this for later. 🔖
Which one are you using the most?
@tec_samax
🚨I stopped spending hours hunting through research papers to find the one stat that made the argument land.
I stopped rewinding interview recordings three times trying to transcribe a quote I almost caught.
I stopped scrolling back through 200-message Slack threads to find the decision someone made two weeks ago.
Here's what I do instead:
The difficult part of an AI analyst was never running the query.
It’s knowing what the numbers actually mean.
CAC can mean five different things across five companies.
Polar Operator works from the definitions your team already uses, so the answer you get is actually actionable.