Transcription
Lots of AI news to go over this week. First, vibe coding is in full effect. Just a few weeks ago, Levels.io put out a demo for a completely vibe-coded flight simulator, and vibe-coding games really took off since then. Then, a few days ago, he announced Vibe Jam, which is a competition for building web-based multiplayer vibe-coded games, and some of the submissions already are insane.
Here's a Fortnite-style game built with Minecraft aesthetics. This was completely vibe-coded into reality, and it looks so good. It already has multiplayer functionality; they're doing play testing right now. This game looks legitimately fun. And for those of you who are saying this might be fake, you can actually try it right now. I'll drop a link to this post down below. Here's another, much simpler game where you're driving through a safari. Here's a Line Rider-style game. Here's a puzzle game that was vibe-coded in just a few hours. I mean, look at the shadows; everything feels really nice. It's kind of like Tetris, but puzzle-style. Here's one that has an 80s aesthetic that is called Vibe Tanks. Here's one being created; it's a food fight simulator. And here's the progression of an air traffic control game. You could see it starts very simply, top-down 2D, then they start adding 3D elements, and now they actually fill out the map. So really cool stuff; definitely check out Vibe Jam on Twitter. I cannot wait to see all of the submissions.
All right, next, Miss Straw released an incredible small model. This is an open-source small model that actually exceeds the performance of similar larger, closed-source versions. Check this out; this is Knowledge GPTQA. We can see the latency per token right here on the X-axis, and it is very, very low. And on the Y-axis, the GPTQA diamond score, and it outperforms Gemini 3, Claude 3.5, Haiku GPT-40 Mini, and Coherent Eye of Vision. This comes in at just 24 billion parameters, and it's multimodal, as it says right here. The model can run on a single RTX 4090 or a Mac with 32 GB of RAM; great for local inference. And it says, "foundation for advanced reasoning," meaning you can train it to be a thinking model. And it has a context window of 128,000 tokens, so pretty decent. So check it out, download it, play around with it, and let me know what you think.
All right, next, Claude finally gets web search. This has been a long-awaited feature; it is kind of table stakes at this point, but now Claude 3.7—3.7 thinking—they all get web search. So now you have another replacement for Google Search: Grok 3, Chat GPT, Perplexity, Mistral, and now Claude can all search the web. This is also super useful because Claude tends to be the best coding model out there, so now you can actually have it reference up-to-date API docs, library information, and any current bugs that might be floating around on the web. So really cool; check it out.
Next, OpenAI released three new updates to their audio models. I covered this in a full video; definitely check it out after you watch this video. I'll link it down below. First, they have two new text-to-speech models, both of which outperform their previous Whisper model. One is called GPT-40 Transcribe; the other is GPT-40 Mini Transcribe. And in every single language they tested it with, it outperformed every other model. And they also have a new text-to-speech model that you can give instructions, direction on how to speak; so not just the text, but specific direction in how you want the model to actually say the words that you're giving it. You could try out the text-to-speech right now at openai.fm. So here's an example of what this looks like. We're going to use "coral dramatic," and you can have voice affect, tone, pacing, emotion; you describe very similar to a prompt or a system message exactly how you want it said. And let's listen: "Was thick with fog, wrapping the town in mist. Detective Evelyn Harper pulled her coat tighter." So really good, and it's super easy to build, too. If you click this little button up in the top right, you get the code for it—just a few lines of code—and you can get going. Now, if this design feels familiar, it's because it kind of feels like Teenage Engineering. And if you're not familiar with that company, they have the most incredible designs, at least in my opinion, and they are partnering with Teenage Engineering on this, holding a competition for the best text-to-speech creations, and the top three most creative ones will win a Teenage Engineering OB-4. And here's what that looks like; this is $550. So definitely take a few minutes and go create something with OpenAI TTS.
Next, Windsurf Wave 5 is here. If you've been vibe coding, you're probably familiar with Windsurf. In Wave 5, they've made big improvements to their tab completion. This is more of like the passive coding, not quite vibe coding, but more traditional coding where you're doing tab completion, and they added a lot of really cool functionality. Let me play a brief clip for you so you know exactly what you're going to get with Wave 5: "Wave 5 has only one feature: Windsurf Tab. We've rolled up autocomplete, supercomplete, tap to jump, and tap to import into one seamless tool that can write new code, make multi-line edits on your existing code, and navigate around your files. Compared to our previous passive experience, Tab is a leap in quality and speed. The good news is that everybody, including free users, get unlimited Windsurf tab completion." So really cool updates if you're doing more traditional coding.
Next, Korea AI has released a big update. Now they have video training, which gives you much more control over your AI video creations. You can train the Juan 2.1 model on your own videos, giving it the ability to learn specific styles, specific objects, and even specific motions. Once that training is done, you can create new AI videos based on that style. So really cool update; try it out.
Next, Notebook LM got a big update. Notebook LM will now generate a mind map based on the documents that you provide it, in addition to the podcast that you're familiar with—a great way to learn, a great way to explore the knowledge that is created by the documents that you're giving it. And even Jimmy Apples is impressed: "Not bad at all. Nice."
Next, Han—I hope I'm pronouncing that correctly—has announced a major upgrade to their 3D modeling AI. "So we are thrilled to announce a major upgrade to our open-source 3D generation model, including two groundbreaking new versions: 3D 2.0 MV, multi-view generation, and 3D 2.0 Mini. These are open source; you could download them; you can play around with them right now." So this is great if you want to create 3D characters for motion graphics, for a game, for videos—whatever you want. Definitely check this out; really powerful stuff for creators.
And speaking of creative AI, Stability AI released some new features. They now have Stable Virtual Camera. This allows you to upload 2D images and create 3D immersive video from a simple 2D image. It's pretty incredible. This takes us one step closer to entire movies, entire TV shows being able to be created by AI, by anybody. So with this capability, you upload a 2D image, and you can do things like zoom out; you can move around. And again, these are all 2D images; nothing more. You can download the weights right now; it is open-source, and it is free to use for non-commercial use.
Next, Gemini finally adds Canvas. You can now write code with Gemini and run it directly in the browser, very similar to what Claude and Chat GPT can already do. So write HTML or JavaScript code, edit it directly in the browser, run it directly in the browser, and iterate and vibe code away. And a company that I did not think was working on AI, LG, just released an open-source thinking model that you can download and run right now. It is called Exo-1 Deep, "next generation AI model designed to enhance reasoning capabilities," and specifically they focused on a genetic AI. It comes in three versions: they have a 32-billion-parameter version, which achieved number one on the AME benchmark, outperforming competitors at just 5% of its model size; and a 7.8 billion and 2.4 billion that are more appropriate for local usage. So look at this; you can see some of the comparable models right here. Here's Exo-1 Deep 32B versus DeepSeek R1, the full version, and what do we see? It is very comparable across the benchmarks. So download it, try it out, let me know what you think.
So that's all the news for today. If you enjoyed this video, please consider giving a like and subscribe.