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AGI = Thé compétitions of intelligence, the fine understanding of knowledge processing What do u think? Hi :) I’m Sheary and self taught software engineer, startup founder, degree in organic chemistry, also working with Al. I love tech and fascinated with invention, science, sci fi, startups, and changing the world. Follow me for more big ideas :) @codersheary

Follow and comment MIT to get link in your DMs🙌 MIT just opened up one of the best deep learning resources you can learn from. Their full 6.S191 Introduction to Deep Learning curriculum covers neural networks, computer vision, transformers, optimization, and real hands-on labs — the same material taught to MIT students. If you’ve been wanting a real foundation in AI, this is the perfect place to start. Save this so you don’t forget 🔥🎓 #mit #deeplearning #freecourse #airevolution {deep learning, mit course, neural networks, machine learning, transformers ai, computer vision, ai education, free ai learning, mit 6s191, ai engineering, ai fundamentals, python for ai, ml models, ai labs, ai beginners, advanced ai, neural net training, ai lectures, ai curriculum, deep learning basics, mit resources, ai research, ai coding, introduction to ai, student ai tools}

Is AI possible without Python? 🤔 Yes! While Python is popular, AI can also be built using other languages like R, Java, and C++. But Python still makes it faster and easier to learn AI 🚀 Start your AI journey with Saksham Digital Technology today! #AIWithoutPython #LearnAI #ArtificialIntelligence #PythonForAI #TechEducation

AI Isn’t Scary. Our Intentions Are. . . . #AI #ArtificialIntelligence #TechPhilosophy #AIfuture #MachineLearning

Yeah… this might change everything. Anthropic CEO Dario Amodei says AI could handle most, maybe even all, software engineering tasks within the next 6 to 12 months. Engineers may shift from building everything to reviewing and guiding AI-generated work. Disclaimer: This content is shared for educational, storytelling, and commentary purposes under Fair Use (Section 107). Third-party material is transformed with original narrative and insight. No ownership is claimed over external assets; credit is provided when possible. DM for credit or takedown. Reposts, reuploads, and AI scraping are prohibited.

I turned a 3.5-hour AI Masterclass into only 4 easy pages. Andrej Karpathy’s Deep Dive into LLMs is incredible—but way too long 😅 So I broke it down into easy-to-understand pages with explanations, illustrations, and flowcharts so you can grasp how ChatGPT actually works... without the headache. Deep Dive into LLMs like ChatGPT If you want: - 🎬 the full video link - 📄 my easy cheat-sheet notes Just comment “SUMMARY” below and I’ll send it to your DMs 🫶🏻

The most important skill to learn right now isn't biology or physics—it's getting fluent with AI tools, because the gap between AI-native thinkers and everyone else is already huge.

Learning AI from Harvard — for free — is not something you should ignore 🎓🤖 If you want to understand how AI actually works and build real projects with Python, this course is a solid start. 👉 Follow me and comment AI — I’ll send you the course link 🚀 harvard ai course, cs50 artificial intelligence, ai with python, learn artificial intelligence, free ai course, python ai projects, machine learning basics #ArtificialIntelligence #Python #CS50 #LearnAI #MachineLearning
Top Creators
Most active in #python-mit
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #python-mit ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #python-mit. Integrated usage of #python-mit with strategic Reels tags like #mit idss machine learning with python and #discovery is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #python-mit
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#python-mit is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 2,014,338 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @askgpts with 1,941,730 total views. The hashtag's semantic network includes 1 related keywords such as #mit idss machine learning with python, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 2,014,338 views, translating to an average of 167,862 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.
The highest-performing reel in this dataset received 1,941,730 views. This viral outlier performance is 1157% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #python-mit ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @askgpts, has contributed 1 reel with a total viewership of 1,941,730. The top three creators — @askgpts, @codewith_random, and @100xengineers — together account for 99.5% of the total views in this dataset. The semantic network of #python-mit extends across 1 related hashtags, including #mit idss machine learning with python. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #python-mit indicate an active content ecosystem. The average of 167,862 views per reel demonstrates consistent audience reach. For creators using #python-mit, posting consistently with trending audio and relevant angles will help you get noticed.
Analyst Verdict
#python-mit demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 167,862 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @askgpts and @codewith_random are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #python-mit on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.















