{
 "creator": "Theo",
 "handle": "@t3dotgg",
 "channel_url": "https://www.youtube.com/@t3dotgg",
 "method": "Top 10 of 270 uploads (Sept 2025 to Sept 2026) ranked by views divided by channel median views (104.5K). Intro = spoken opening up to the sentence that hands off to the sponsor read. Transcripts from OutlierKit via Composio; video list via Monid.",
 "snapshot_date": "2026-09-21",
 "intros": [
  {
   "rank": 1,
   "title": "So I tried Matt's skills...",
   "video_id": "0oXOOlqVu5M",
   "url": "https://www.youtube.com/watch?v=0oXOOlqVu5M",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 439000,
   "published": "1 month ago (as of 2026-09-21)",
   "duration": "38:22",
   "outlier_multiplier": 4.2,
   "intro_ends_at": "2:01",
   "intro_ends_reason": "sponsor handoff",
   "intro": "There is one particular GitHub repo that I've been eyeing for a long time and just never took the time to dive into. It's by a person that I've interacted with a bunch in the past who if you've been around for a while I am sure you're familiar with. I've often called myself the second best TypeScript YouTuber and the reason is because of this individual, the number one Matt HCO. He published a set of AI skills for real engineers that I honestly kind of dismissed initially, but over time he has continued to refine them and be realistic with them. And what he's created is a set of small and simple markdown files that have racked up over 200,000 stars on GitHub, making it one of the 10 most starred projects on all of GitHub. Truly insane. All for markdown files. I've wanted to see what the hype was about for a while here, and I've seen people saying really good things about them, especially the grill me skill. And this has also been a video I've planned for a while to the point where my whole Twitch chat is freaking out. Thank you. I stayed up till 3:00 a.m. for this. Long overdue. Finally, three streams ago. Since this was put in Notion, Matt's updated the skills multiple times. Yeah, you guys have wanted to get my honest thoughts on these skills for a while. In order to do that, I had to use them. So, I did. Over the last week, I installed a bunch of the skills from Matt Poco's skills repo, which is full of gems that are worth talking about, from his process to the actual skills themselves. If I only covered Matt's skills, though, I'd be doing this ecosystem a disservice. The vast majority of these skill repos are absolute slop and should be ignored. But there is one other I'm excited about. PA stack created by Lauren, otherwise known as Potato, one of my old favorite React core team members, who is now at Cursor, and built a wild set of skills that are really fun and surprisingly powerful. I have went through and audited the majority of the skills in both of these suites, pulled in my favorites, and I've been using them actively. I cannot wait to show you everything I've learned after a real quick break for today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/01-so-i-tried-matt-s-skills/"
  },
  {
   "rank": 2,
   "title": "It's Here.",
   "video_id": "XFWpf0wLbh0",
   "url": "https://www.youtube.com/watch?v=XFWpf0wLbh0",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 398000,
   "published": "2 weeks ago (as of 2026-09-21)",
   "duration": "44:12",
   "outlier_multiplier": 3.81,
   "intro_ends_at": "1:46",
   "intro_ends_reason": "sponsor handoff",
   "intro": "There's a model we've all been waiting for for quite a while now, and it's finally here. This is where I want to make a joke about how it's Gemini 3.8 Flash, but my new retention guy said I'm not allowed to. He instead said I should just show you guys this, my actual usage with said models. Of course, my terminal is refreshing right when I pick it up. It's uh annoying like that. But the point I'm trying to make is I've done about $330,000 of inference over the last few weeks and the vast majority of it has been with the model that we're here to talk about today. As you probably guessed, the model we're actually talking about today is GPT6 Astra. Yes, it's actually getting the six moniker. We don't have other models in the GPT6 line yet, like the Soul and Luna and Terra equivalents, but we do have Astra kind of. We'll talk about that in just a second. I've been using it for a bit and it truly is revolutionary in a ton of different ways. There are so many things I just never thought LLMs would be able to do that 6 does incredibly well. It is such a massive leap over soul. It does feel generational. I talked before about how GPT 5.6 felt like the best possible version of a lastg game whereas Fable 5 felt like a reasonable version of a nextg game. GBT6 is the next gen. OpenAI has done it. This model is incredible, but it also still has its rough edges. From code to computer use to 3D modeling to office work, this model truly is just built different. That is far from the whole story, though, because we have to cover availability, cost, security, safety, how it actually works in the day-to-day experience using it for code, and of course, all the fun things I've been building with it, as well as the weird restrictions they have with the model releasing currently. I can't wait to show you guys what this model can do after a real quick break for today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/02-it-s-here/"
  },
  {
   "rank": 3,
   "title": "Ox Alpha is INSANE",
   "video_id": "Xdxp3lbQKyQ",
   "url": "https://www.youtube.com/watch?v=Xdxp3lbQKyQ",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 354000,
   "published": "3 weeks ago (as of 2026-09-21)",
   "duration": "43:15",
   "outlier_multiplier": 3.39,
   "intro_ends_at": "2:16",
   "intro_ends_reason": "sponsor handoff",
   "intro": "Last week there was a really interesting model drop, and the more I've been using it, the more impressed I've been. The model came out anonymously under the name Aux Alpha, and it was announced by Open Code and Open Router, which was interesting in and of itself because we don't know who made it, but there was one other detail that was even more interesting. We have capacity for 100 trillion tokens per day. That is crazy. That is so much compute, it's hard to even fathom. [snorts] On my absolute heaviest usage days, I'm doing upwards of like 7 billion tokens. All of Google's Gemini traffic in a given day is estimated in the 150 trillion token range. So, for whoever was hosting Aux Alpha to give this to one of a few providers in the trillions, hundred trillions range per day is just hard to fathom. So, either there is some hidden reserve of compute these guys have, or maybe this model's really small and cheap, and even then that's still a ton of compute. So, then we started to get some numbers. You guys might know Ben Davis, he's been in a bunch of my content, he does the podcast with me, helps with the channel a ton, good friend. Him and I were playing with it, and he started benching it against the subset of Deep Sweep problems that were public. It ended up scoring absurdly well. 5 6 [snorts] Soul got a 52%, People 5 got a 65%, and whatever the hell Aux was, somehow got an 80%. Something is up. Well, guess what? We actually know what the model is now, and it's definitely not what I expected when I first started playing with it. I will also say that the numbers being shared here are misleading, but it doesn't mean the model is bad. In fact, Aux Alpha has quickly become one of my most used models, and I really, really like using it. But, I bet you wouldn't have guessed it's a flash model. GLM 5.3 flash. It behaves better than 5 3, it behaves on par with models like Opus 4.8 at a 10th to a 100th the price. This is a wild model launch and there are so many fun details for us to dive into. I can't wait to show you everything that makes this model cool and all the things I've been using it for after a real quick break for today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/03-ox-alpha-is-insane/"
  },
  {
   "rank": 4,
   "title": "Jev is incredible",
   "video_id": "F3YXg7AaKWE",
   "url": "https://www.youtube.com/watch?v=F3YXg7AaKWE",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 345000,
   "published": "23 hours ago (as of 2026-09-21)",
   "duration": "30:30",
   "outlier_multiplier": 3.3,
   "intro_ends_at": "1:07",
   "intro_ends_reason": "sponsor handoff",
   "intro": "Oh boy, it's new model time. This one's very different though. This isn't our usual new LLM that's slightly better at code and it's not going to be the type of thing that the model counter guy is going to show up and say, \"Look, best new model.\" If anything, this might take the counter guy out of his job because this model is for data processing. It's by a company called Typesafe AI and it's called Jev. The point of this model isn't to generate text, write code, or do all the things that we expect models to do today. It is classification. This model is the best model ever made to take data and organize it and classify it. It returns JSON perfectly in a type-S safe format. When you give it a format, it does it and it does it well. That means this model isn't going to replace things like Fable or Astra. Well, hopefully not. If you are using Fable and Astra for the stuff you can do with this, I have a lot of questions for you. All that said, this model is incredibly capable, and that's why it's blown up on Twitter. I've seen demos of everything from lightning fast computer use even in like the iOS simulator to the model playing Minecraft at lightning speed to compaction that takes under a second instead of multiple minutes. I can't wait to show you all the best things you can do with this model. But first, we got to classify something. The next section, which is the sponsor break.",
   "page": "https://creator-examples.vercel.app/intros/theo/04-jev-is-incredible/"
  },
  {
   "rank": 5,
   "title": "Well This Was Unexpected...",
   "video_id": "jKCjLzjmiaA",
   "url": "https://www.youtube.com/watch?v=jKCjLzjmiaA",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 334000,
   "published": "3 weeks ago (as of 2026-09-21)",
   "duration": "27:05",
   "outlier_multiplier": 3.2,
   "intro_ends_at": "0:54",
   "intro_ends_reason": "sponsor handoff",
   "intro": "Mom and dad are fighting and I'm going to be real with you guys, it's kind of stressing me out. For those who don't know, I've been a big fan of both Cursor and OpenAI for quite a while. For those who aren't reading the screen right now, what it says is the following. We're ending our partnership with Cursor following its acquisition by SpaceX. Under our proposal, Cursor's direct access to our models would end on November 12th. Yeah, this is real. Your Cursor subs will no longer allow you to use OpenAI models. So, instead of spending my weekend relaxing or doing weekend things, I'm stuck here on a Saturday night filming a last second video to cover all of this stuff because it's been, let's be real, kind of chaotic. I've talked to my friends at both Cursor and OpenAI in order to get as many of the important details as I possibly can. And I will do my best to make sure you know what's actually going on as well as what you can do to work around these limitations. I have a bad feeling I'm about to piss off both mom and dad. So, let me cover my bases quick with a word from today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/05-well-this-was-unexpected/"
  },
  {
   "rank": 6,
   "title": "Delete your CLAUDE.md (and your AGENT.md too)",
   "video_id": "GcNu6wrLTJc",
   "url": "https://www.youtube.com/watch?v=GcNu6wrLTJc",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 303000,
   "published": "6 months ago (as of 2026-09-21)",
   "duration": "29:16",
   "outlier_multiplier": 2.9,
   "intro_ends_at": "1:49",
   "intro_ends_reason": "sponsor handoff",
   "intro": "Are you really an AI engineer if you haven't put a ton of time into your Agent MD or Claude MD files or both? Like, really? Come on, everyone's doing it. It has to be good, right? Well, what if I told you that a study just came out all about those Claude MD and Agent MD files? And uh the numbers weren't good. They're actually quite bad. Here we see comparisons across Sonic 4.5, GPT 4.5, 5.1 Mini, and Qwen 3. And when given an Agent MD or Claude MD file, they actually performed worse consistently. This is a thing we should probably be talking about, right? Like, I've been told so many times that I'm having prompt issues because I didn't write an Agent MD or Claude MD. They're so important. Every code base needs them. Everybody's publishing their own rule files and skills and all these things. It'd be pretty bad if it turned out those things were making the tools worse, right? Well, that's the thing we're going to have to dive into because on one hand, a lot of people are using these files wrong. And on the other hand, it is likely that they shouldn't be used at all for many cases because they steer models incorrectly. This is going to be a fun deep dive on context management and best practices for using AI to code and build real software. And a lot of this is coming from my own experience, which is admittedly subjective, but is really cool to see it coming out in a study. It's been awesome to see studies like this recently popping up. Things like figuring out if these Agent MD files are actually useful, Skills Bench figuring out how useful skills are as a thing that the models have access to when they are working. And even benchmarks that are trying to figure out why models are more likely to get a question right if you ask them the same thing twice. There's a lot of fun stuff to dive into here, and it's all about context management. And I do actually think this video can help you get better at using AI to code. That all said, I'm about to do a lot of work for free that OpenAI and Anthropic probably should be doing. Neither are paying me for this, and the team needs to get paid. So, we're going to do a quick break for today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/06-delete-your-claude-md-and-your-agent-md-too/"
  },
  {
   "rank": 7,
   "title": "Claude Mythos and the end of software",
   "video_id": "aFcVKzfkJPk",
   "url": "https://www.youtube.com/watch?v=aFcVKzfkJPk",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 289000,
   "published": "5 months ago (as of 2026-09-21)",
   "duration": "26:25",
   "outlier_multiplier": 2.77,
   "intro_ends_at": "2:07",
   "intro_ends_reason": "sponsor handoff",
   "intro": "This is not going to be a normal video at all. I did not expect this to come as quick as it has. If you haven't kept up with the news, today was a really big day. The Claude Mythos preview has officially been announced in the system card has been made available. You might be confused because you haven't seen this new model pop up in the tools that you're using or people sharing all the things they're doing with it. That's because this is the first time they've made a model that was so capable that they've decided to not make it generally available. Yes, that's right. This model is so powerful, they've not put it out. It doesn't mean they haven't given access to strategic people. In particular, Project Glasswing because the security implications of a model that is this capable are terrifying. I actually filmed a video last week all about how cybersecurity as we know it is about to collapse under the capabilities of models. I said it would take 3 to 9 months. I apparently was wrong because we are there faster than ever. I do still plan on publishing that video and I highly recommend checking it out, but this one's not just about that. This is going to be going in-depth on what these bigger, more powerful models look like because I am sure that Anthropic is not the only company building a model like this. Mythos is to Opus what Opus is to Sonnet. It is a much bigger model that will be much more expensive that is slow but powerful and the capabilities are immense. Every bench they've thrown at it has been crushed and the results are kind of terrifying. This is no longer like, oh, this model can replace us in our jobs. This is now, oh, this model can pawn every single piece of software that we use every day. I've spent the whole day going through the 244-page system card, talking to everybody I know in the space, and doing my due diligence to cover this to the best of my ability. I'll be doing my best to cover all of this as responsibly as I can, but I wouldn't be doing my due diligence if I didn't tell you to make sure that your browser is up-to-date, that your operating system is up to date, that your phone is up to date, that any core software you rely on is up to date. I wouldn't even blame you if you took the time to run those updates during the sponsor break.",
   "page": "https://creator-examples.vercel.app/intros/theo/07-claude-mythos-and-the-end-of-software/"
  },
  {
   "rank": 8,
   "title": "Fable Vs Astra Debate Is Over",
   "video_id": "P7bxbDSnZRM",
   "url": "https://www.youtube.com/watch?v=P7bxbDSnZRM",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 288000,
   "published": "10 days ago (as of 2026-09-21)",
   "duration": "1:16:52",
   "outlier_multiplier": 2.76,
   "intro_ends_at": "1:39",
   "intro_ends_reason": "sponsor handoff",
   "intro": "Last week was pretty crazy for new AI models. We got two new heavy hitters that are truly changing the game. Gemini 38 Flash and Muse Spark 1.3. How can you ever decide between those two? They're both so incredible. Obviously, I'm joking. We're actually here to talk about Fable 5.1 versus GPD6 Astra, the two actual models that matter. And I'm sure my attention guy already wants to kill me for doing that joke and confusing people. So, sorry. Well, let me have some fun. Okay, everyone's going to watch this video anyways cuz they all want to know what model to choose. And these two models are unbelievable. I went in with pretty high hopes on Fable 5.1, but didn't expect too much and I still managed to be absolutely blown away. It's an incredible model and I use it every day. GBD6 Astra is the future. It is such a crazy leap in so many different ways. I love using it. I'm doing thousands of dollars of inference a day with it. These models are both incredible. If you want to just skip to the end to see which model's better, I guess you could do that, but you'd miss all of the different ways we can compare them because these models are very different in their capabilities and the things you can do with them. And there's a lot to be learned from the various skills these models do and don't have. I'm doing nearly a billion tokens a day across both of these models consistently. And I've seen their strengths and weaknesses in all sorts of different places, many of which have surprised me a ton. So, if you want to understand what these are good at, what they are bad at, how efficient they are with token usage, how hard the subscription limits will hit you, all of those types of things and more, and of course, the most important question, which sub should you buy today? I'll do my best to answer all of that after a real quick break for today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/08-fable-vs-astra-debate-is-over/"
  },
  {
   "rank": 9,
   "title": "NVIDIA Just Lost Their Lead",
   "video_id": "VgLwsakPgo4",
   "url": "https://www.youtube.com/watch?v=VgLwsakPgo4",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 247000,
   "published": "3 weeks ago (as of 2026-09-21)",
   "duration": "25:28",
   "outlier_multiplier": 2.36,
   "intro_ends_at": "2:16",
   "intro_ends_reason": "sponsor handoff",
   "intro": "Nvidia's a weird company. They originally started making chips for gamers to have fancy 3D graphics in their computer games, and now they are the most valuable company in the world powering the majority of intelligence that we get from all the fancy AI tools we use every single day. There's a lot of pieces that make Nvidia's borderline monopoly on compute for intelligence just impossible to crack. Things like CUDA, which is the language and system of choice for the vast majority of AI research, to the crazy deals that they're cutting with everybody from the government itself in the United States to businesses like of course OpenAI, Anthropic, XAI, and more. And it seems like everyone is realizing that Nvidia is a not great core dependency to have on your business's success. OpenAI could not function if Nvidia decided they wanted to start charging them 10 times more. The US government would be pissed if their whole plan to build this crazy set of data centers fails because Nvidia changes their mind. A whole of these businesses are struggling to work with the terms Nvidia's giving them today. And with the promise that those terms will get worse tomorrow, they're all looking for ways out. But there's one particular place that is more motivated than anywhere else to solve this. China. Nvidia chips have largely been banned from being sent to China by the US government. Some have been cleared for export, but it's a very very small set, and it's not the giant powerful GPUs that we are using for training in the US. All of this is pretty much forced the Chinese labs like ZAI to rely heavily on chips that are being made by Chinese companies like Huawei. But it's not even just the Chinese labs anymore. Even OpenAI has started developing their own chips to get faster, cheaper inference and training available to them internally. All of this has Nvidia acting pretty scared and very very weird. From crashing out on Jim Cramer's show to buying Hugging Face, a little bit absurd. But as you guys can probably guess, I have a lot of thoughts on this. I'm a big nerd about chips. I'm a big nerd about Nvidia in particular, and never been the biggest fan of them. And the opportunity to point out how their monopoly is about to be crushed and crumbled is one I have to take. But unlike my friends who invested in Nvidia early, I don't have billions of dollars to spare, so I'm going to have to take a quick break for today's sponsor.",
   "page": "https://creator-examples.vercel.app/intros/theo/09-nvidia-just-lost-their-lead/"
  },
  {
   "rank": 10,
   "title": "We all fell for it\u2026",
   "video_id": "lNVa33qUzZ8",
   "url": "https://www.youtube.com/watch?v=lNVa33qUzZ8",
   "channel": "Theo - t3.gg",
   "channel_handle": "@t3dotgg",
   "views": 233000,
   "published": "4 months ago (as of 2026-09-21)",
   "duration": "56:43",
   "outlier_multiplier": 2.23,
   "intro_ends_at": "1:48",
   "intro_ends_reason": "sponsor handoff",
   "intro": "AI code is here and it's here to stay. Who hasn't seen the productivity gains? We're talking CEOs of companies doing 37,000 lines of code every single day. I mean, what else is there to our lives as developers? If we can put out that much code, why would we do anything else? This totally isn't going to come back to bite our asses, right? It's not like we're going to lose all our skills as we rely on the slot machine more and more and as a result, the slot machine becomes a slot machine and nothing ever works how it's supposed to. This definitely isn't currently happening and people definitely aren't starting to notice, right? Oh. Agent of coding is a trap. This sounds like it's going to be a very, very fun article. I have a lot of thoughts here as you guys can guess. On one hand, I love coding. I love building things. I care about the nitty-gritty of syntax. I've built entire stacks around my specific tech preferences that have went so viral that they helped build my entire career on platforms like this. On the other hand, I very much enjoy these AI coding tools so much so that they fundamentally changed how I think about back and the things that I build and I've never spent less time actually writing code. In fact, if I open up my code editor right now, I'm not even looking at code in it. I'm looking at a prompt file and then a bunch of CSVs for the data for all of the runs that I'm currently doing with agents. I'm barely looking at code anymore. There are things I'm doing more of which is cool. Like I've never gotten so good at get in my life. I've never used SSH and remote boxes as much as I do now. I'm trying out all sorts of new things. I am learning all sorts of new technologies, but I also feel some of my skills atrophy and I find myself when something doesn't work, just rolling the slots again and again hoping that this time might be the one where I get the output I'm looking for. Pulling that lever costs a lot of money. You never know what you're going to get, but at the very least you know what you're going to get in our sponsor break is a really cool company like this one.",
   "page": "https://creator-examples.vercel.app/intros/theo/10-we-all-fell-for-it/"
  }
 ]
}