Andrew Ng ✓
@AndrewYNg · Palo Alto, CA · joined 18 Nov 2010
Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
1 895 268Followers
1 113Following
2 028Posts total
21MViews on collected posts
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The loudest voices stoking fears about AI dangers have made tremendous headway in the past two weeks. AI technology has not taken some unexpected, dangerous turn, but the hype around it — propelled by what appears to be a well orchestrated PR campaign — has drummed up
7.8M views · 8.7K likes
· 1.8K reposts · 882 replies
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With AI Engineering skills, you actively shape the build: You influence what gets built, and drive the build loop. Here're key skills to do this. https://t.co/sysOYdzuZY
859.5K views · 4.6K likes
· 710 reposts · 286 replies
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The most important skills for using AI coding agents effectively. Presenting the AI Engineering Skills Map for using coding agents. https://t.co/GrEw7wG5Wz
732.6K views · 7.3K likes
· 1.1K reposts · 301 replies
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How have software engineering fundamentals changed with agentic coding? Here is our AI Engineering Skills map for software engineering fundamentals. https://t.co/cnRLj43DLs
1.1M views · 8.9K likes
· 1.5K reposts · 344 replies
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OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just released a new version with many features for security workflows.
After our initial release, many users found it especially useful for cybersecurity. Attackers are already using
277.3K views · 3.6K likes
· 449 reposts · 177 replies
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In the fight to defend openness in AI, the Marin project is a precious demonstration of openness in model training, with open code, data, recipes, even experimental results. Releasing AI research openly used to be the norm; I'm grateful for @percyliang's open lab approach.
247.4K views · 2K likes
· 146 reposts · 90 replies
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@AndrewYNg TLDR, you got a course for me unc?
3.7K views · 17 likes
· 0 reposts · 0 replies
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@AndrewYNg Dear sir, this is not a complain. I have learned the machine learning and deep learning courses on coursera but the equations were really challenging or tricky for me. I ended up with their complexities. Then I have found a tutor on other platform to learn machine lear
13.9K views · 11 likes
· 0 reposts · 1 replies
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🚢 Marin 535B-A23B started training this week! As usual, the whole process is open.
Voyage plan: pretraining (80%) + midtraining (20%) on 18.75T tokens on 11 x GB200 NVL72 for ~3 months (2.7e24 FLOPs). Post-training will follow.
Before kicking off the run, we trained a 4-rung htt
962.3K views · 4.2K likes
· 578 reposts · 107 replies
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@AndrewYNg Came across a post today by Gartner.
How evolution is happening in SE and development phase.
--we all can relate to this. https://t.co/ra7GHV2r87
978 views · 10 likes
· 0 reposts · 3 replies
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@AndrewYNg All you need is this interview prep: https://t.co/otVvyLVcvX
2.4K views · 44 likes
· 1 reposts · 1 replies
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@AndrewYNg Please keep writing and publishing more often, most of us wouldn’t have developed an interest or an understanding of this field, had it not been for your Course-era specialisation coursework, Sir! :))
8.7K views · 23 likes
· 0 reposts · 1 replies
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@AndrewYNg Is this a new course with 4 parts or a concept, Andrew?
96K views · 43 likes
· 0 reposts · 1 replies
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New: A map of the most important skills in AI Engineering. https://t.co/VVkn1Dqp1N
6.9M views · 24.3K likes
· 4.1K reposts · 507 replies
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@AndrewYNg @JayAlammar @MaartenGr Interesting insights on Transformer LLMs
152 views · 1 likes
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@AndrewYNg @JayAlammar @MaartenGr Great timing in releasing this course. Much needed
2K views · 6 likes
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Announcing How Transformer LLMs Work, created with @JayAlammar and @MaartenGr, co-authors of the beautifully illustrated book, “Hands-On Large Language Models.”
This course offers a deep dive into the inner workings of the transformer architecture that powers large language http
265.6K views · 1.6K likes
· 255 reposts · 43 replies
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3:36
@AndrewYNg This is really well done, and super useful.
5.8K views · 13 likes
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@AndrewYNg @ylecun Great site, very helpful!
21.1K views · 113 likes
· 8 reposts · 5 replies
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@AndrewYNg Thanks for the support @AndrewYNg!
6.7K views · 33 likes
· 1 reposts · 1 replies
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Shoutout to the team that built https://t.co/z0no9modnp . Really neat site that benchmarks the speed of different LLM API providers to help developers pick which models to use. This nicely complements the LMSYS Chatbot Arena, Hugging Face open LLM leaderboards and Stanford's HELM
1.1M views · 2.2K likes
· 482 reposts · 79 replies
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@AndrewYNg @cohere @JayAlammar @SerranoAcademy We did similar things a few months ago. Check our project: SearchAnything https://t.co/7jdm3M1c0o https://t.co/YrJgNQUoKQ https://t.co/iZRkmSSDPd
1.2K views · 6 likes
· 1 reposts · 0 replies
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@AndrewYNg @cohere @JayAlammar @SerranoAcademy So this basically just RAG?
Searching your domain dataset is basically searching your embeddings in the vectorised database, how does sending that back to the LLM improve the search quality?
5.1K views · 4 likes
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@AndrewYNg @cohere @JayAlammar @SerranoAcademy Imho, who is following this courses is like doing courses of www in the early '90. We are putting foundations for the next decades.
5.6K views · 11 likes
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We just released "Large Language Models with Semantic Search”, built with @cohere, and taught by @JayAlammar and @SerranoAcademy. Search is a key part of many applications. Say, you need to retrieve documents or products in response to a user query; how can LLMs help? You’ll http
597.3K views · 2.8K likes
· 554 reposts · 38 replies
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2:48
✅ It supports PDF, TXT, MD, JPG, JPEG, PNG files now, and we'll be adding support for PPTX, WORD, audio files, and video files soon!
Get started by cloning our GitHub repo and follow our install guide. https://t.co/WWyLZDC0GR
1.6K views · 1 likes
· 0 reposts · 1 replies
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GIF
Against accounts of the same size
14 posts from the last 90 days, next to the 1M–10M follower range. shown to more people than peers of the same size.
Median views262 367this account14 648median for 1M–10M
Reach, %13.84%this account0.74%median for 1M–10M
Engagement, %0.59%this account0.70%median for 1M–10M
| Metric | This account | Median for 1M–10M | Ratio |
|---|---|---|---|
| Median views per post | 262 367 | 14 648 | 17.9× |
| Reach (views ÷ followers) | 13.84% | 0.74% | 18.7× |
| Engagement rate | 0.59% | 0.70% | 0.85× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
6.9M14 Aug
96K
8.7K
2.4K15 Aug
97821 Aug
962.3K
13.9K
3.7K22 Aug
247.4K24 Aug
277.3K25 Aug
1.1M28 Aug
732.6K4 Sep
859.5K11 Sep
7.8M21 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.43%14 Aug
0.05%
0.28%
1.94%15 Aug
1.33%21 Aug
0.52%
0.09%
0.46%22 Aug
0.91%24 Aug
1.53%25 Aug
0.96%28 Aug
1.21%4 Sep
0.67%11 Sep
0.15%21 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes37.7%70 415 in total
Reposts6.3%11 734 in total
Replies1.5%2 872 in total
Quotes0.8%1 573 in total
Bookmarks53.6%99 990 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
18 Sep21 Sep24 Sep
Daily snapshots since 18 Sep 2026; the dashed line is the starting count.
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