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- AI News: Vibe Jam, The BEST Small LLM, Claude Search, OpenAI Audio Models, and more!
AI News: Vibe Jam, The BEST Small LLM, Claude Search, OpenAI Audio Models, and more!
Stay updated on the latest AI developments including Vibe Jam competition, Small LLM advancements, Claude Search features, OpenAI Audio Models, and other exciting news in the AI industry.
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Lots of AI news to go over this week.
First, vibe coding is in full effect.
Just a few weeks ago, LevelsIO 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 VibeJam, 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 VibeJam on Twitter.
I cannot wait to see all of the submissions.
All right, next, Mistral 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 on this and on the y-axis the
GPTQA diamond score and it outperforms Gemma 3, Claw 3.5 Haiku,
GPT-40 Mini and Cohere Iovision. 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 gigabytes 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, Clawed finally gets web search.
This has been a long-awaited feature.
It is kind of table stakes at this point,
