Harper Carroll
@HarperSCarroll • 31,516 subscribers
AI Computer Scientist • @harpercarrollai on IG • taught AI/ML @Stanford · built @Meta • AI is less scary under the hood ↓ 10-day AI basics + more (free)
Videos
Did you know the most sophisticated AI systems were actually so chaotic? Yep - this AI meme is actually pretty accurate. “Deep learning” (as mentioned in the X post) refers to neural networks, which are the models that underlie the “generative” AI systems you know about: the text-, image-, video-, and song-generation models. Are you surprised to learn that these systems aren’t straightforward? Does this usage of math make sense to you? Hi, I’m Harper, AI educator, engineer and advisor. ••• My goal is to democratize AI, so everyone can understand it, use it, and make informed decisions about it. Happy you’re here. ••• I have two degrees in Computer Science specializing in Artificial Intelligence from Stanford University, experience teaching PhD-level AI courses there, and 4+ years building AI at Facebook / Meta. Follow Harper Carroll Clips if you want to learn about AI, and let me know in the comments if there’s anything specific you want to learn about.
Harper Carroll169,980 просмотров • 9 дней назад
What does it mean when an AI model is “open weights” and how is it different than “open source”? Welcome to the next episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! Every week we will discuss open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Episode 3 out next week; episode 1 linked below. Please leave all your questions about open-source & open-weight AI in the comments. This is a super important topic that is novel to most people, and it can be challenging to grasp - so your questions are shared with many others.
Harper Carroll32,624 просмотров • 2 месяцев назад
The strange behavior of Clawdbot, aka Moltbot, aka OpenClaw, agents on Moltbook, the ai-agent-only forum. ExplAIned
Harper Carroll93,251 просмотров • 8 месяцев назад
Welcome to the first episode of the Open Model Series with merve, Hugging Face AI/ML engineer & “open-sourceress”! You’ve probably heard about how you can run “open (source/weight) models” on your own computer – even on your own laptops. We’re here to answer all the questions you have about open models, what they are, and how to use them. Episode two out next week. Please leave your questions & topic requests in the comments!
Harper Carroll31,663 просмотров • 2 месяцев назад
Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.
Harper Carroll30,392 просмотров • 2 месяцев назад
OpenAI & Hugging Face security incident explAIned
Harper Carroll33,428 просмотров • 3 месяцев назад
These AI avatars are arguably the best in the world. Which do you think is actually me: A or B? Please answer the poll below. I’m curious what percentage are fooled! Was in NYC to interview Synthesia 🎥 CEO/cofounder Victor Riparbelli and had fun making this avatar. — 👋 Hi, I’m Harper, AI educator, engineer and advisor. I have two degrees in Computer Science specializing in Artificial Intelligence from Stanford, experience teaching PhD-level AI courses there, and 4+ years building AI at Facebook / Meta
Harper Carroll165,923 просмотров • 2 лет назад
The open-source & open-weight frontier is 7 months behind the closed-model frontier. Let’s talk about it. Check out last week’s episode for the reasons why you might want to consider open-source & open-weight models. Welcome to the fourth episode of the Open Model Series with merve, Hugging Face AI/ML engineer & open-sourceress! We have been discussing open-source & open-weight AI: what it is, how it works, and how you can run them on your own compute. Please leave all your questions about open-source & open-weight AI in the comments! This is a super important topic that is novel to most people, and it can be challenging to grasp - so rest assured your questions are shared with many others!
Harper Carroll17,279 просмотров • 1 месяц назад
CLAWDBOT. Open-source always-on assistant. You don’t need a Mac Mini - you can run it on AWS free tier. Can confirm. First video about this. More to come ! To be clear, I’m anti-hype. Last year I didn’t report on a LOT of AI releases that were making headlines - including major ones that I got early access to - because I sensed they were overhyped, and to be honest, I was right. Claude Code feels different. Because of how phenomenal Claude Code has been, I jumped to try Clawdbot. Will report back! What do you want me to try out?
Harper Carroll44,427 просмотров • 9 месяцев назад
Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical functions called "activation functions". If you’re interested in learning about these systems, check the comments. Ultimately, the neural network structure of the model serves to visually demonstrate that it is, in fact, a complex mathematical equation. When companies release the model's weights, they are releasing a key component needed to run the model's complete equation. Without the weights, the equation is incomplete. For the math-minded: the weights of a model are the learned numbers (they are variables during training) that are then used as constants in the mathematical functions that make up the model. Neural networks are ultimately just one big, hyper-complex mathematical function, and when a model is trained, it learns the constants associated with the high-dimensional input.
Harper Carroll50,905 просмотров • 11 месяцев назад
Post-run man with arm. What is model overfitting and how can you tell if it’s happening to yours?
Harper Carroll38,408 просмотров • 9 месяцев назад
CLAUDE IS ADDING WATERMARKS In compliance with the new EU AI Act, Claude is adding watermarks to its text outputs. For text outputs, it works as described in this clip. The clip is actually from 2024, from my video on SynthID, Google’s AI watermarking technology that works the same way as Claude’s watermarking tech. Basically, if you remember from our “How does AI work?” video, AI is a word generator, and samples from its generated probability distributions of the next word. With the watermark, the probability distribution of the output text is shifted slightly away from what it would have been without the watermark. Note that the watermark is invisible - you can’t see it with the human eye, since it’s literally just text written slightly differently - and currently, the mechanism to detect this watermark only exists within Anthropic (the team behind Claude) itself. Their published article says they are "working to enable users and other third parties to detect Claude's embedded watermarks.” For images, Claude is adding a signature to the metadata - which is easy to remove. What do you think? Google has been adding watermarks (with SynthID) for a while. Watermarking will now be rolled out industry-wide in compliance with the EU AI Act. SynthID was open source and I had some critiques about it… see below for the 5 minute video.
Harper Carroll13,218 просмотров • 2 месяцев назад
AI (LLMs) vs. Google Search They are not the same, and knowing the difference is crucial
Harper Carroll33,340 просмотров • 1 год назад
