๐จ THE FUTURE OF ROBOTICS IS INSANE! ๐ค๐ฅ
Imagine a world where intelligent robots move freely alongside humans.
No longer just science fiction. This is what the future could look like.
โ Smarter AI-powered robots
โ Futuristic autonomous movement
โ Humans and robots sharing the same world
โ A whole new era of robotics
The future is closer than we think. ๐
Would you want one of these robots? ๐
Follow @harry_techai for more AI & Tech updates.
I gave my studio its own AI receptionist this week. The voice you hear in this clip is not human.
It picks up partnership calls while I edit. Greets the caller, answers questions straight from my media kit, takes booking details, and never quotes my rates on its own.
Built her in 12 minutes on @cartesia Managed Agents. No code, no telephony setup.
Stack: my plain-English instructions, GPT-5.5 as the brain, Sonic 3.6 as the voice (Jacqueline), Ink 2 as the ears. Sonic 3.6 is the most natural streaming TTS model (#1 user preference on Artificial Analysis) and speaks 44+ languages.
In this call I cut her off mid-sentence on purpose. She stopped, listened, and adjusted. [N] test calls so far, same result every time.
Full system prompt in the replies. Steal it.
Build yours: https://t.co/KAVGkPUFtE
๐จ This feels unfair.
Claude can now handle hours of heavy Excel analysis in seconds.
Most analysts are still building manual reports while elite operators use AI to automate the entire data pipeline.
Here are 10 prompts to make it happen:
Save this thread now ๐ ๐งต๐
I tested Cartesia Managed Agents against ElevenLabs using the same kind of voice-agent prompts, and one thing stood out to me: voice quality.
Cartesiaโs voice felt more natural to my ears, especially in a regular back-and-forth conversation. It made the interaction feel less like talking to a tool and more like talking to an actual assistant.
What I also like is that Managed Agents brings the voice, conversation logic, and tools together in one place, without having to piece together a separate voice infrastructure stack.
No made-up benchmarks here -> just my experience testing both.
If you're building voice agents, give Cartesia Managed Agents a try.
Try it: https://t.co/eieukmrIpw
Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise.
#1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system.
Check it out โ https://t.co/7kJhCYqjQo
๐จ THE FUTURE OF ROBOTICS IS INSANE! ๐ค๐ฅ
Imagine a world where intelligent robots move freely alongside humans.
No longer just science fiction. This is what the future could look like.
โ Smarter AI-powered robots
โ Futuristic autonomous movement
โ Humans and robots sharing the same world
โ A whole new era of robotics
The future is closer than we think. ๐
Would you want one of these robots? ๐
Follow @harry_techai for more AI & Tech updates.
THIS IS WILD. ๐
I tested Opus 5.5 and built my own AI agent with one goal: $50K per month using public data only.
Hereโs what it did:
โ Split the goal into 4 tasks
โ Found 240 public listings
โ Removed 96 chains and kept 144 clinics
โ Selected 25 verified leads
โ Created 25 drafts and 1 offer page
Then it stopped.
Why? The pricing field was empty, and the AI refused to guess.
I entered $2,000 per client.
25 clients ร $2,000 = $50K/month in potential revenue.
Nothing gets sent without my approval.
The video shows the setup, and the numbers are from a demo runโnot actual sales.
Would you trust AI to handle this automatically?
Follow @harry_techai for more AI experiments and updates.
Al is moving beyond conversations.
The next frontier is personal intelligence โ systems that understand how you think, create, and make decisions.
Your identity could become the most valuable layer of the Al stack.
I invented the chat window for business in 1997 at LivePerson.
29 years later, I'm trying to kill it.
Because the best interface to AI was never a chat box. It's you.
$10.3M raised for humans to be AI-native and authentic.
The most valuable dataset in AI is you.
You should own it.
๐ AI ISNโT JUST CHANGING TECHNOLOGY. ITโS CHANGING THE FUTURE OF HUMANITY. ๐ค
Artificial Intelligence is no longer just a tool. Itโs becoming one of the most powerful forces shaping our world.
๐ The Age of AI by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher explores how AI is transforming human thinking, decision-making, global power, and the future of society.
Hereโs why this book matters:
โ AI is changing how we learn and work.
โ Machines are becoming capable of solving increasingly complex problems.
โ AI is reshaping industries, economies, and global competition.
โ The future will depend on how humans and AI work together.
โ Understanding AI is becoming an essential skill for the next generation.
The biggest opportunity isnโt just using AI. Itโs understanding how AI will shape our future.
๐ The AI revolution is already here.
The question is: Are you ready for whatโs coming next?
๐ Bookmark this for your reading list.
๐ Repost if you believe AI will change the world.
๐จ BREAKING: Anthropic is reportedly gearing up for a massive IPO!
The AI powerhouse is making headlines with impressive financial figures:
โ $16.8B in reported Q3 revenue
โ 50% revenue growth
โ Two consecutive quarters of adjusted profitability
โ A reported $965B valuation
โ Potential IPO in November
Anthropic is no longer just competing to build smarter AI models. Itโs positioning itself to become one of the biggest players in the global AI economy.
The AI race is entering a whole new era. ๐
Could Anthropic become the next trillion-dollar AI giant? ๐
๐ The Future of Space Exploration Is Getting Closer!
From intelligent robots to advanced autonomous technology, innovation is transforming how we explore extreme environments.
๐ค Robots are becoming smarter.
๐ Technology is pushing new boundaries.
๐ The future of exploration is evolving faster than ever.
What once seemed like science fiction is now becoming reality.
The future isnโt coming. Itโs already being built.
๐จ THE FUTURE OF CREATIVITY IS BEING REDEFINED BY AI.
Artificial Intelligence is no longer just a tool for automation. Itโs becoming one of the most powerful creative partners weโve ever had.
What once required hours of manual effort, advanced technical skills, and expensive resources can now begin with a simple idea.
And weโre only scratching the surface.
Hereโs what makes this transformation so powerful:
โ Ideas become reality faster than ever before.
โ Creativity is no longer limited by technical barriers.
โ AI accelerates the creative process without replacing human imagination.
โ Individuals can achieve results that once required entire teams.
โ The gap between imagination and execution is becoming smaller every day.
But hereโs the most important part:
AI doesnโt replace the human imagination. It amplifies what weโre capable of creating.
The real competitive advantage wonโt come from simply having access to the latest AI tools.
It will come from knowing how to use them to transform ideas into meaningful results.
Weโre entering an era where creativity, technology, and human intelligence work together in ways that were previously unimaginable.
The future isnโt just AI-generated. Itโs human-inspired and AI-powered.
And this is only the beginning. ๐
AI-Powered Robotics Is Entering a New Era. ๐ค
What once seemed like science fiction is rapidly becoming reality.
Imagine controlling robotic movements using nothing more than natural hand gestures.
No complicated controllers. No traditional interfaces. Just intelligent motion tracking, real-time responsiveness, and seamless human-robot interaction.
This demonstration highlights how AI and robotics could transform the way humans interact with machines.
From industrial automation to healthcare and everyday applications, the possibilities are expanding.
The next breakthrough in AI isnโt just about smarter software. Itโs about bringing intelligence into the physical world.
And weโre only beginning to explore whatโs possible.
The future of robotics is closer than you think. ๐
๐ก HOW TO GET STARTED
โ Beginner? Start with Mathematics for Machine Learning.
โ Interested in practical ML? Read Hands-On Machine Learning.
โ Want to understand LLMs? Start with Hands-On Large Language Models.
โ Want to build AI applications? Explore AI Engineering.
โ Interested in production systems? Read Designing Machine Learning Systems and Practical MLOps.
The future of AI belongs to people who understand how to build, not just how to use tools.
You donโt have to read all 12 books.
Start with one. Learn consistently. Build projects. Apply your knowledge.
๐ Bookmark this list for later.
๐ Repost to help others discover valuable AI resources.
Follow @Zivlen_Coder for AI tools, tech updates, and smarter workflows.
๐จ STOP SCROLLING! THESE 12 AI & ML BOOKS ARE WORTH YOUR TIME IN 2026.
Want to master Artificial Intelligence, Machine Learning, LLMs, and AI Engineering?
You donโt need to spend thousands of dollars on expensive courses to start learning AI.
Some of the most valuable knowledge is already available in these books.
Whether youโre a beginner, developer, AI enthusiast, or experienced engineer, these 12 books can help you build a stronger foundation and develop real-world AI skills.
Here are 12 AI & Machine Learning books you should know about. ๐งต๐
12. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow โ Aurรฉlien Gรฉron
Learn machine learning through practical Python examples and real-world projects.