jones ntongana

my whole life is in Christ ,my life ,my heart and all of me

[Tom Dörr @tom_doerr]

Collection of official and community-built Claude skills

https://t.co/TMYn8vxXN8

[Biff @Biffdon]

We live in a truly messed up reality and it went undetected for a very long time.

[Mindset Machine  @mindsetmachine]

The best advice you'll hear today

[The Sigma Mindset @thesigmamindset]

This video will change your MINDSET 🧠🎯

[Leaders 𝕏 Junction @LeadersJunction]

This will help you to stop thinking too much‼️‼️

[Leaders 𝕏 Junction @LeadersJunction]

I didn't want to run today. Then I remembered what a champion once said...

[Mastery Mindset @_masterymindset]

The Tiny Morning Habit that leads to Massive Success 💯💯🙌

[Mastery Mindset @_masterymindset]

He made a fortune of $500M doing this 🙌🙌

[Brett Adcock @adcock_brett]

Another huge week of AI and robotics news.

So, I summarized everything from OpenAI, Perplexity, Anthropic, Nari Labs, Character AI, Kortix AI, Physical Intelligence, Unitree, and more.

Here's everything you need to know and how to make sense out of it:

[Ilir Aliu @IlirAliu_]

New open-source library speeds up whole-body imitation learning.

Train the policy below in under 20 minutes ⬇️

LocoMuJoCo2 brings biomechanics and humanoid robotics into one clean, high-speed benchmark.

Built for researchers who want to train smarter and faster.

What it offers
✅ 22K+ motion trajectories per humanoid model
✅ Supports both MuJoCo and MJX
✅ JAX-based PPO, GAIL, AMP, DeepMimic implementations
✅ Plug-and-play robot2robot retargeting pipeline

Whether you’re building humanoids or studying human motion, this toolkit saves you weeks of setup.

Github: https://t.co/g96l9phmdG

Thank you, @firasalhafez for sharing this great work!

[DFRobot @dfrobotcn]

🤖🚀 Two LeRobot SO-100 ARMs trained for collaborative pick-and-place tasks using NVIDIA Isaac-GR00T N1. Vision-Language-Action models enabling natural language control. #VLA #Robotics #MachineLearning
For more details: https://t.co/WveOh778IP

[LangChain @LangChain]

🤖 AI Agent Building Guide

Learn to build powerful text analysis agents with LangGraph in this practical tutorial. Create agents that can classify, extract, and summarize content - with complete implementation examples.

Ready to build your first AI agent? Check it out! 🔨

https://t.co/KN63QVrneM

[Shubham Saboo @Saboo_Shubham_]

Multi-agent voice assistant app using Langchain and Qdrant as the vector database.

100% Opensource Code.

[World Athletics Champs 🇧🇼🇧🇼 @walter_sentsho]

Notwane River by Riverwalk Mall e a tshologa 😭😭 a simolotse mathata a Gaborone dam 😭😭

[Manish Kumar Shah @manishkumar_dev]

Goodbye Photoshop

Canva Create is officially here and it's INSANE

Here are 13 Canva features you should not miss:

[Rohan Paul @rohanpaul_ai]

This Github repo has an Open source implementation of OpenAI's new Deep Research agent.

→ AI-powered research assistant that performs iterative deep research by combining search engines, web scraping, and LLMs

→ Automated research refinement using LLMs to generate targeted search queries and recursively explore deeper based on findings

→ Configurable search depth & breadth allowing users to control the scope and granularity of research

→ Comprehensive markdown reports with findings, sources, and structured insights

→ Parallelized query processing for efficient research execution with concurrency control options

→ Minimal implementation (<500 LoC) making it easy to understand, extend, and integrate into custom workflows

[lerato @tshepanglerato]

Oh man! Congratulations Marc!

🇧🇼🇧🇼🇧🇼🥺❤️

🎥 World Toughest Row

[Haider. @haider1]

🚨 NVIDIA Introduces Jetson Nano Super

> compact AI computer capable of 70-T operations per second

> designed for robotics, it supports advanced models, including LLMs, and costs $249