This is the TLDR. This is the chapter of our show where we talk about everything that happened in the world of ai. Super, super, super quick, so that you'll be up to date if you don't have the two hours to sit with us. Specifically on Thanksgiving, if your Turkey is burning and you wanna run to it and you wanna just get to up to date, without extra stuff. So TLDR is for you. And this week's TLDR is special because we have this beautiful, nano banana pro generated, I should say, infographic. look at this thing. we'll start with. Start with open source. as always a great So folks, here's our headliners. It decided what headliners will be like. I think so. I don't know if, uh, if, uh, uh, open the eye decided via the prompt or, or the, you know, nano Banana Pro n. Banana Pro is power. The Gini three. So actually, like you don't necessarily need the opening. Nevermind folks. Anthropic launched Cloud Opus 4.5, its Premier Intelligence. finally is with us. Let me make sure that, yeah. This is not distract the premier intelligence, philanthropic. It's number one on coding. It's a state-of-the-art on coding agents. It tops the Swyx, be verified, benchmarks, crashes, terminal tasks, and add and effort now for cheaper, smarter workflows. So you can select effort, reasoning stuff for, ops and Opus is really for the longest time for many folks. Opus was the top intelligence and San is it's little broader and folks have been waiting for Sunnet, to to upgrade. It gets a record 80.9% on Swyx bench verified, which is absolutely insane. topping GPT 5.1 and Gemini three Pro at 76 and 77%, 44% on terminal bench, hard, which is, not state of the art, but really high as well. And it does. and Tropic also mentioned something about they have this like super hard engineering task that they give folks. And this basically beat every candidate that they have on the very hard benchmark. So we're gonna chat about Opus, for a while, and, Nisten will, chime in on his, I have used it for coding stuff, hopefully. the other headline that we have is a very interesting one from, from last week. And we'll have an interview with the two folks that have been on the show before. To tell us about this MCP, the Model context Protocol Standard. Tropic just celebrated a full year off. Can you believe it was just one year of MCP, that every major lab adopted, including Google, uh, OpenAI, obviously tropic Microsoft. Every major lab adopted MCP. MCP is a layer for APIs for, for models to, to talk to each other, and it lacks ui. And now there's a standardized effort to add UI to MCP apps as a standard. It's called MCP ui. And the two folks who came up with it, IDO and Liad have been on the show before. If you guys remember, with Git MCP. And since then they've created the whole spec and now it's adopted by tons of companies. So I would love to have them on because, first they're friends. Once friends succeed, we wanna highlight this on the show. But also because, I think it's a very important effort. OpenAI Apps in Chat GPT we're supposed to be like UI based, so now they're gonna collaborate. I really want to hear from them what's that about. But also MCP is celebrating one year. And with this one year Anthropic when, they released Opus 4.5. They also released a bunch of updates to MCP, like the. the tool, search tool and the programmatic evaluation, I would love for them to chat with us about those updates to MCP as well. let's go a little bit, into open source as Wolffer mentioned before, Hoan released, HY Hoan released to release it this week, right? HY video, the new update, but also they released an OCR model. It's a 1 billion parameter beast with beats huge V LMS on OCR bench and dock, parsing. It's really cool. And OCR has been like, really on fire lately. And then Microsoft of all folks released Fara seven B. It's an on the ice on-device computer use agent, it, 7 billion parameter, computer use or qa that, gets 73.5% of web wager Voyager with like very high beating, larger models, obviously in efficiency and navigates real websites from screenshots. And, it's really cool. We're getting computer use in small form factors. A lot of open shots. Hunyuan, also released a video ion 1.5. It's an open video state of the art. its 8.3 billion, diffusion transformer. Did video model, small five to ten second, video clips on consumer GPUs, with clever attention tricks for speed. And, we can show one or two, video examples, but that's not the cool stuff about the video. This week. This week, LTX Studio released, retake It's a new video editing tool. We've talked about LTX as like a bunch of models, Lucy and some other models. this one's kind of Photoshop for videos. you can take any video and then basically recast or change the ending for smaller shorts of time, like change motions. It's really cool. we have to play with this. and have you guys heard on this? There is a video arena that shows video generations from different video models to different folks and they judge based on. Who kind of thinks which one is the best. there's a new one there and VO three and 3.1. And so two are like the top ones there for a while. And now there's a new video model that nobody knows who this is from. It's called Whisper Thunder in parenthesis called David, and it is beating every other one for people liking. it's crazy when we don't know who this is. we are continuing in our kind of image and video. this has been a very multimodal week for open source as well. Flux two really. It's a 32 billion parameter multi ref image, monster generator. The reason why it's 32 billion parameter is because it's backed by Mistral, as it's also a thinker kind of image. it looks like everybody understood that the more intelligence you put into a diffusion model with an additional, LLM behind it, the better. it's a, rectified flow model, up to 10 reference images you can provide to it with native four megapixel outputs. not sure why this had megapixel not 4K, but this is four megapixel, very good for, realism and sharp text and UI rendering. and then also the same day. Togi lab from Alibaba is Z image turbo, depending on how do you pronounce your zz, or zz. it's a sub one second generator diffusion transformer. That honestly looks better than flux, And the Z image, turbo, is fully open source, 6 billion parameters or smaller than flu as well. And I think it's also backed by a smaller lm. I'm not sure. generates photo realistic images is just eight steps with strong bilingual text and, distillation tricks as well. So that's insane. And, I'll show you an example of Z Turbo, definitely because it's like super fast and I've revive something in this week's buzz. We have a new update, and Jeremy Howard was asking for it as well. if you have trained any model fine tunes, you can, you know that you can train a full weights update or you can train LORAs. LORAs stands for lo low rec adaptations, smaller files that makes you not have to move the whole weights around. Basically. Now our Inference service supports, LORA adapters in the inference provider. Provider. You just provide the inference, you upload them, and then we will combine the main model with your LORA. It's really cool. I have a visual demo to show you and everybody who is fine tuning models is welcome, to try it. We, we've opened it up as a preview for just a limited set of models, but it's really cool and I have a cool down as well. and it works for any OpenAI compatible API. we also had from this week, that's not on my picture. prime Intellect released Intellect three, which is their model, it's a, it's a Finetune on top of GLM Air, I think. it's a 106 billion parameter MOE. And it tops the benchmarks. it beats the GLM air, it does the benchmarks in open source. 69% lifeguard bench and 90% so on AI E 24 and 25. And, and then we also have, yeah, that image we talked about and, we Nisten. Last thing is dik. Yeah, deep think was the last