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Hasan Toor Profile picture
@hasantoxr
Jun 5, 2023 • 10 tweets • 5 min read • Read on X
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AI is the future, and you don't want to be left behind.

Luckily, Harvard and Stanford University are offering free courses.

Here are 7 FREE courses you don't want to miss:
1. Harvard's CS50

Introduction to Artificial Intelligence with Python.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

edx.org/course/cs50s-i…
2. Harvard's Data Science: Machine Learning

In this course, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

edx.org/course/data-sc…
3. Harvard's Fundamentals of TinyML

Throughout the course, you will learn data science techniques for collecting data and develop an understanding of learning algorithms to train basic machine learning models.

pll.harvard.edu/course/fundame…
4. Harvard's Applications of TinyML

Learn about real-word industry applications of TinyML as well as Keyword Spotting, Visual Wake Words, Anomaly Detection, Dataset Engineering, and Responsible Artificial Intelligence.

pll.harvard.edu/course/applica…
5. Harvard's Deploying TinyML

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller.

pll.harvard.edu/course/deployi…
6. Stanford's CS330

This is a graduate-level course.

By the end of the course, students will be able to understand and implement the state-of-the-art multi-task learning and meta-learning algorithms and be ready to conduct research on these topics.

youtube.com/playlist?list=…
7. Andrew Ngs AI for Everyone from Stanford

AI is not only for engineers.

If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

coursera.org/learn/ai-for-e…
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More from @hasantoxr

Hasan Toor Profile picture
Feb 12
China is destroying every expensive AI model on OpenClaw.

Kimi K2.5 just dropped with Claude Opus 4.6 performance,
but 8x CHEAPER.

It's now #1 most used model for OpenClaw
& THE MOST USED MODEL OVERALL on OpenRouters.

Here's everything you need to know: 🧵 Image
Look at the OpenRouters leaderboard right now:

1. Kimi K2.5 — 240B tokens
2. Trinity Large Preview — 141B tokens
3. Gemini 3 Flash Preview — 138B tokens
4. Claude Sonnet 4.5 — 54B tokens
5. Claude Opus 4.5 — 42.2B tokens

Kimi K2.5 isn't just winning. It's running away with it. Image
It ranks #1 in Design Arena.

Beats Gemini 3 Pro, ChatGPT 5, and Claude Opus 4.5 on multiple benchmarks.

This is a Chinese open model doing what $200/month subscriptions do at a fraction of the cost.

Read 9 tweets
Hasan Toor Profile picture
Feb 10
🚨BREAKING: Someone just built an AI mechanic for broken vibe-coded apps.

It's called FixMyApp AI and it fixes your broken AI-built MVPs without prompting, agencies, or rewriting anything.

Just connect your repo → describe the bug → get a PR in 48 hours.

Here's how:↓
Here's the problem nobody talks about:

Cursor, Bolt, Replit, Lovable they're incredible at building MVPs.

But the moment you push to production?

Auth breaks. APIs timeout. Edge cases everywhere.

You're stuck prompting in circles trying to fix code you didn't write.
Why this hits different:

Most founders vibe-coding their MVP aren't engineers.

They can BUILD with AI but can't DEBUG with AI.

FixMyApp isn't another AI wrapper.

It's actual human engineers who understand AI-generated codebases because that's ALL they work on.
Read 6 tweets
Hasan Toor Profile picture
Feb 6
Everyones using ChatGPT for content writing. Meanwhile Claude is quietly outperforming it on every platform.

I switched 3 months ago and my engagement jumped 340% across all socials.

The secret isnt Claude itself. Its the 10 prompts that make it write like an actual human, not a corporate robot.

Here they are: 🧵Image
1. The Coffee Shop Test

Prompt:

"Write this like you're explaining it to a friend over coffee. No marketing speak. No corporate jargon. Just straight talk about [topic]. If it sounds like a LinkedIn post, rewrite it."

Claude actually gets this. ChatGPT still sounds like it's pitching a SaaS product.
2. Voice Finder

Prompt:

"Give me 5 different ways to say this same idea. Make each one sound like a different person wrote it - one cynical, one excited, one skeptical, one matter-of-fact, one surprised."

This is how I find MY voice. Pick the version that feels most natural, then Claude refines it.
Read 13 tweets
Hasan Toor Profile picture
Feb 6
Holy shit... Someone just built an AI CFO that catches financial problems BEFORE they destroy your startup.

It's called Nume and it monitors your finances 24/7 without dashboards or prompting.

No finance degree. No spreadsheets. No "wait, where did the money go?"

Here's how it works: ↓
Most finance tools show you dashboards you'll never check.

@NumeAI does the opposite: it watches your money 24/7 and TELLS YOU when something's wrong.

Like a real CFO sending you a Slack message: "Your burn rate just spiked 34%."

No login. No navigation. Just alerts that matter.

Try it: nume.ai
I connected QuickBooks and my bank account in 6 minutes.

Within 10 minutes, Nume found 3 cash flow problems I didn't know existed.

No tutorial. No onboarding call. No "wait, which dashboard do I check?"

It just started telling me what was wrong and why it mattered.
Read 9 tweets
Hasan Toor Profile picture
Feb 4
This site is literally a prompt library with 1000+ engineered prompts.

100% free. Image
Check it out: promptly.fyi/libraryImage
BONUS:

I also post content on Instagram.

So, if you want to get insights with my videos, then do follow me here:

instagram.com/hasantoxrImage
Read 4 tweets
Hasan Toor Profile picture
Feb 1
After 2 years of using AI for research, I can say these tools have revolutionized my workflow.

So here are 15 prompts across Claude, Gemini, ChatGPT, and Perplexity that transformed my research (and could do the same for you): Image
1/ LITERATURE REVIEW → Claude Sonnet 4.5

"Analyze these 30 papers on [TOPIC]. Find contradictions, research gaps, and emerging debates. Prioritize findings that challenge consensus."

Why Claude: 200K context window = reads entire papers, not just abstracts. Image
2/ RESEARCH QUESTION REFINEMENT → ChatGPT 4o

"My broad interest: [TOPIC]. Generate 10 falsifiable research questions. For each: explain methodology, expected contribution, and why current literature can't answer it."

Why 4o: Extended reasoning catches scope creep and logical gaps.Image
Read 18 tweets

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