Ive

AI Educator. Helping you to make money with AI, Tech Tools & Digital Skills | DM for collaboration 📩 [email protected]

[Ive @Ive_TechAi]

📚IELTS + TOEFL RESOURCE BANK

FREE materials—save this👇

IELTS Full Resources
→ https://t.co/5qCF3Os6Uc…

IELTS Listening & Reading
→ https://t.co/5qCF3Os6Uc…

IELTS Cambridge Guide
→ https://t.co/5qCF3Os6Uc…

TOEFL iBT Prep
→ https://t.co/5qCF3Os6Uc…

[Alora Ai @Alora_Tech_Ai0]

BREAKING: Don't copy and paste answers from ChatGPT.

ChatGPT writing is easily detectable.

Use these prompts instead and see the magic:

[Ethan @ethan_x_ai]

Learn AI for free directly from top companies

𝟭 - 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰:
https://t.co/hEkmZ26koq

𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲:
https://t.co/qgzESxRUbw

𝟯 - 𝗠𝗲𝘁𝗮:
https://t.co/D4heGjkbMr

𝟰 - 𝗡𝗩𝗜𝗗𝗜𝗔:
https://t.co/hTcTGlB2rW

𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁:
https://t.co/MBcA5UlPnk

𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜:
https://t.co/0j7EvxEA62

𝟳 - 𝗜𝗕𝗠:
https://t.co/D26hzOYVoX

𝟴 - 𝗔𝗪𝗦:
https://t.co/qw3tSZXgdV

𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴.𝗔𝗜:
https://t.co/9HFLrWLn71

𝟭𝟬 - 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲:
https://t.co/BP531V7okq

❤️ Like
🔁 Repost
🔖 Bookmark

Follow @ethan_x_ai for more AI posts.

[Vance coder @VancecoderAi0]

Earn up to $3,000 monthly with Google, but not many are aware of this opportunity.

Ready to jump in? All you need is:

→ Internet access
→ A smartphone or computer
→ Time (2-3 hours)

Want the free guide? Here’s how:
1. Like
2. Comment "Google"

(Follow, So I'll DM you)

[Aiswarya Venkitesh @AiswaryaVenkit1]

What if your entire data stack lived in ONE platform?

No more tool-hopping.
No more broken pipelines.
No more duplicated data fighting itself.

Microsoft Fabric just made that real.

Here's the full 7-layer architecture — and why it changes everything 👇

🔹 1. Real-Time + Batch Data
Event Streams AND structured datasets.
Both. Together. One ecosystem.

🔹 2. Data Ingestion Layer
Pipelines. Dataflows. Copy Jobs.
Data from every source — flowing in seamlessly.

🔹 3. Unified Storage (OneLake)
↳ No silos.
↳ No duplication.
↳ One centralized lake for everything your org produces.
This alone replaces 3–4 tools most teams are duct-taping together.

🔹 4. Data Preparation & Transformation
Notebooks + Dataflows = clean, structured, ready-to-use data.
No more raw data chaos.

🔹 5. Analytics & AI
SQL queries → ML models → AI pipelines.
All in one place. No context switching.

🔹 6. Visualization & Insights
Dashboards. Reports. Real-time monitoring.
Decision-makers get answers — not data dumps.

🔹 7. Integration Layer
Teams. Power BI. Copilot. Azure.
Everything your org already uses — now connected.

💡 Why this actually matters:

The #1 problem in enterprise data isn't technology.
It's fragmentation.

Your ingestion tool doesn't talk to your storage.
Your storage doesn't talk to your analytics.
Your analytics don't talk to your AI.

Fabric breaks that wall down.

One platform. One governance model. One source of truth.

If you understand this architecture —
you understand where data is heading.

Save this - it's your Microsoft Fabric cheat sheet.
Is your team on Fabric yet? What's holding you back?

𝗕𝗲𝗰𝗼𝗺𝗲 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝘁 𝗔𝗜 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟭 𝗺𝗶𝗻𝘂𝘁𝗲 𝗮 𝗱𝗮𝘆. 𝗝𝗼𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗼𝗳 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻.
👉 𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗿𝗲𝗲 now → https://t.co/Kj8zW959kp

Follow @AiswaryaVenkit1 for more such insights!!

[Luna Tech @LunaTechAI]

A friend of mine earns $1.2M annually as an Anthropic engineer.

I asked him what helped him master prompting. He shared a video featuring Anthropic’s core team and their approach to writing better prompts.

If you want to improve your prompting skills, this 30-minute guide is worth your time.

I watched it recently, and it completely changed how I think about using Claude. I realized there was so much more I could do with it.

Watch it and save it for later. 🔖

[Compound Learning - Tech | Science @SheBuildsAI_]

🚨 GEMINI vs. CLAUDE: The Ultimate AI Blueprint

​Both models are incredibly capable, but using them like interchangeable tools is a missed opportunity.

​The real cheat code isn't picking a favorite—it's knowing exactly when to deploy each one.

​Here are 7 high-impact workflows to get maximum output from combining Gemini and Claude 👇 thread

[Jason @jasoncoderx_ai]

🚀 JASONCODERX

🔥 Follow me to learn more about AI, technology, amazing tools, and the latest innovations!

Here are 10 X Accounts You Should Follow 👇

1. Elon Musk — @elonmusk
2. OpenAI — @OpenAI
3. ChatGPT — @ChatGPTapp
4. Anthropic — @AnthropicAI
5. Google DeepMind — @GoogleDeepMind
6. Google AI — @GoogleAI
7. Perplexity AI — @perplexity_ai
8. NVIDIA — @nvidia
9. Sam Altman — @sama
10. Yann LeCun — @ylecun

💡 Follow these accounts to stay updated on AI breakthroughs, technology trends, and the future of innovation.

📌 Save this list for later!

🤝 Follow @Jasoncoderx for more useful AI tools, tech updates, and interesting discoveries.

Let's grow together! 🚀

#AI #Technology #Innovation #ArtificialIntelligence

[Parul Gautam @Parul_Gautam7]

So I gave Step 5 Preview a bug it had never seen before, and just watched.

Filtered 193 users out of 208, hit export, and the file came back with 6 rows. Whatever happened to be sitting on the current page.

That's the bug I handed it. No file names. No hints. Just the codebase and the report.

Here's what happened:
1. It read through the project on its own and found the real cause. The export was pulling from the current page slice instead of the full filtered list.
2. It fixed the root cause, then renamed the ambiguous fields so the mistake can't happen twice.
3. It added retry logic for failed downloads. Bounded attempts, a visible error state if every one fails. I didn't even ask for that part.
4. It wrote 15 new tests across three layers. Unit, component, and real browser runs.
5. Then it opened the running app and reran the exact scenario itself.

The numbers:
208 total users
193 matched the filter
6 rows in the broken export
193 rows in the fixed one
15 new tests, all passing

One prompt. No follow-up corrections. It verified its own fix before calling the task done.

Curious to see how it handles your own coding challenges? Give Step 5 Preview a try 👉 https://t.co/cecdD9xGua

It’s now #1 on OpenRouter’s Trending ranking, so this might be a good time to put it to the test.

Check the ranking: https://t.co/Or5Dq5K5fL

[Aldrich Killian @TechByKillian]

THE MONTESSORI WAY TO HANDLE A CHILD WHO WON’T LISTEN WITHOUT RAISING YOUR VOICE ONCE.

1. Get physically close before you speak at all.

[Anu Ai💡 @AnuAi9o]

I made $56,284 with AI babies
→ In just 10 days

No filming. No outreach. No real kids.

The results?
-$56K collected
-$172K GMV
-8.4M views on Shorts & Reels

They’re not real — but they smile, wave, and sell like pros.

Comment “Baby” & I’ll show you how
(must be following)

[Alora Ai @Alora_Tech_Ai0]

In late 2025, Google quietly flipped the switch on new AI tools across Gmail, Chat, and Meet for a lot of accounts.

To generate summaries and smart suggestions, these tools can scan your emails, chats, and even attached files.

Google insists your mail isn’t used to train Gemini, but plenty of people argue they were never plainly asked or gave a clear yes before the features went live.

And if you don’t disable them yourself, the AI may continue combing through your inbox to power those extras.

[Simon @simonAI_X]

I JUST FINISHED READING Mark Manson's The Subtle Art of Not Giving a F*ck.

It opens with a strange choice of hero: Charles Bukowski.

Bukowski drank too much, gambled, and spent decades getting rejected by publishers. He worked at the post office for years, in a job he hated, writing on the side.

Then, in 1969, at 49 years old, a small publisher named John Martin offered him $100 a month to quit and write full time. He took it. His first novel came out less than two years later. He became one of the most famous writers of his generation.

His gravestone reads two words: "Don't try."

Manson's point: Bukowski didn't succeed by trying to be a winner. He succeeded because he was completely honest about being a loser, and he kept writing anyway.

That's the whole book. Stop trying so hard to feel good, look good and be great. Care about fewer things, and care about the right ones.

Here are 10 lessons I took from it. 🧵

[Sara Ai @Monty_Ai_tvp]

🚀 10 Popular AI Tools Powering the Future of Intelligence

[Brandon Hayes @brandonhayes_ai]

Motion graphics, avatars and b-roll in one look? If Syren does that, designers will notice.
The real game changer is making everything feel like one cohesive brand instead of separate AI generated pieces. 👀

[꧁ZORLEN TECH @Hey_Mason_Ai0]

I currently split my workflow between tools for video and audio separately. If this is accurate, what's actually stopping me from collapsing that into one place?

[David Marco💡 @David_TornAI]

This is huge for AI creators. 🎙️

@HeyGen just took the #1 spot on the Artificial Analysis TTS leaderboard.

Its new voice model is live, and API pricing is 50% off until Oct 31.

More powerful AI voice tools at a lower cost.

[Saxen_Ai @Saxen_Tech_Ai]

HABITS I STOLE FROM A McKINSEY PARTNER WHO MADE SENIOR DIRECTOR AT 34.

Simple habits. Better decisions. Stronger execution.

1. The Sunday Scan👇

[Amber Nexus @Asfandyar16856]

Strong benchmark results get attention, but developer access is what creates opportunities. HeyGen has made its new voice model available where builders can put it to work.

[Shubham Singh @Shubhambais05]

I got bored and told ChatGPT to apply to 500 job openings for me.

Woke up, phone's blowing up—12 interview calls within 24 hours.

This is the prompt I used: