AI Revolution Unveiled : New AI Model Beats GPT4o , Tencent’s 3D Breakthrough..
A new AI model from Paris is challenging industry Giants with fewer parameters yet impressive power meanwhile 10 cense tool is turning text into three-dimensional designs in seconds and Roblox is building entire game worlds with simple prompts the AI race isn't just about size anymore it's about speed creativity and who can change the game the fastest all right so there's a brand new open- source AI model on the scene it's called m small 3.1 and it's coming straight out of Paris now mrr ai might
not have the same name recognition as say open AI or Google's deep mind but it's quickly establishing itself as Europe's top AI company they were only founded in 2023 by former researchers from Google deepmind and meta and they've already raised over a billion dollars in capital Landing them at a valuation of around 6 billion all right so mral small 3.1 has 24 billion parameters which is small compared to some of the biggest models out there its developers say it can outperform or match larger systems such
as llama 3.3 70 billion parameters and Quin 32b despite having fewer parameters it's also multimodal and its context window reaches 128,000 tokens so it can handle large documents and maintain context without dropping earlier details now the speed factor is a really big selling point here mistal AI claims that this model can process information at a rate of about 150 tokens per second which is seriously fast and because the model has fewer total parameters it can run on what they're calling relatively modest
infrastructure for instance they say it'll work efficiently on a single RTX 490 GPU or even a Mac laptop with 32 gab of ram if you're used to hearing how these top-end models need entire server Farms or crazy clusters of gpus just to spit out a few paragraphs then you know that's a major shift mrr prioritizes refining algorithms and training methods overbuilding massive models which supports the broader goal of reducing costs and environmental impact throwing more and more Computing resources at
bigger models has started to worry a lot of people both from a cost perspective and an environmental one interestingly deep seek is apparently doing something similar so we might see more of these lean and mean AI models coming out soon now Mistral AI isn't new to the game of releasing open-source models previously they rolled out mistol small three and that version has already become the foundation for a bunch of specialized reasoning models that other researchers created the open source strategy seems.
to be working because if you allow the broader Community to Tinker with your model you'll get tons of Innovations you might never have come up with on your own and mra's going even further with that open- Source philosophy mra's small 3 .1 is under the Apache 2.0 license so developers can pretty much do whatever they like with it commercially or otherwise without having to worry about restricted usage terms of course there is a tradeoff open- sourcing your models can make it trickier to monetize them
companies like Google open Ai and others have very closed proprietary systems and that exclusivity can help them build powerful business models but mrr is looking at revenue streams like Enterprise deployments specialized Services domain specific versions or maybe Partnerships with big Tech platforms they also have a line of specialized AI products which includes their Flagship model mistol large 2 a multimodal model called pick straw a code generation model called code straw and these interesting Edge device models.
called less mraw for more Niche scenarios they just launched something called Saba for Arabic language and culture plus mistol OCR to convert PDFs into markdown files for easier processing by large language models now from what we've seen in performance benchmarks mrol small 3.1 is right around 81% accuracy on The mmu Benchmark that's the massive multitask language understanding test putting it in line with some 70b per minute models the speed the 150 tokens per second rate is also a big bragging rate and apparently.
in side by-side human evaluations like real people judging the outputs they found that ml's new release competes strongly against bigger systems on code math general knowledge and instruction following tasks they also compare themselves to GPT 40 Manny a smaller but still closed model and claim that they're outperforming it so how do you actually get your hands on mistol small 3.1 they've made it available through a variety of channels hugging face is the obvious one if you're into the open source ecosystem but it's also on mistol.
Zone platform vertex AI by Google cloud and they're planning to bring it to nvidia's Nim microservices soon plus Microsoft's Azure AI Foundry they're also working with Alama Kagel together AI fireworks AI IBM Watson X and even more services like Amazon Sage maker data bricks Snowflake and so on basically they want it to be available everywhere you might want to run or fine-tune a language model mistol AI is positioning itself as Europe's an to Tech giants like open Ai and Google by focusing on smaller efficient AI models
instead of massive systems that demand huge computing power their strategy aligns with Europe's push for digital sovereignty with support from figures like president macron who publicly encouraged citizens to use mra's chat assistant instead of chat GPT the company has secured Partnerships with Microsoft IBM and even the French army while steadily expanding its lineup with model models like mistol large 2 pixol and kestral all right the next big story comes from 10cent which has rolled out this incredible model called huan 3d2
point0 now since November 2024 these models have been aimed at designers and game developers enabling them to transform text and images into three-dimensional visuals super quickly the buzz here is that it's almost almost instantaneous meaning you type or provide an image of what you want and Bam you've got a three-dimensional version ready to roll this isn't just about speed either the quality is reportedly high and there's a strong focus on consistency which is huge if you're a designer who's always worrying
about details like texture lighting and overall aesthetic tensent has been making moves in AI for a while but Hunan 3D 2.0 shows they're serious about stepping into the generative AI game which has mostly been led by us companies maybe 10cent their new model is said to outperform some Big Industry names joining a wave of innovation from Chinese Tech firms like deep seek and bite dance earlier this year 10cent launched the high-speed huin Turbo S and now bite Dan is rolling out its V Omniverse model with both companies
pushing hard in three-dimensional design things could get interesting in the digital content space but there's a bigger Global context here where China is coming up fast on the US in AI development we're talking about potentially accelerating technological progress on a global scale and maybe even redrawing lines when it comes to trade and economic policies after all advanced AI is a strategic asset and if companies like tensent keep demonstrating the ability to innovate in areas like three-dimensional design
tools we could see a new balance of power emerge in the AI landscape meanwhile from the US side of things Roblox has been making way caves with the open-source launch of cube 3d a foundational three-dimensional model that aims to generate objects environments and eventually entire scenes all from a text-based prompt the first piece of this release is the mesh generation API which is currently in beta this means that developers on the Roblox platform can crank out three-dimensional assets in a matter of
seconds just by typing in a simple description like a vintage green couch with clean lines and velvet material and the system will generate a couch that fits that description it's not limited to Furniture obviously what's really interesting is how Roblox built cube 3d on Native three-dimensional data rather than trying to reconstruct shapes from two-dimensional images think about it like a large language model but for shapes it tokenizes the various components of a three-dimensional object then uses an autor regressive
Transformer to predict what the next shape token should be kind of like how a text-based AI predicts the next word in a sentence this method apparently allows for more accurate and scalable three-dimensional creation and it also paves the way for multimodal input in the future including text images video audio or even three-dimensional data itself now they are not just focused on creating three-dimensional objects they're aiming for full scene generation too with their AI tools you can describe
a scenario and the system will predict both the layout and the objects to fill it they're also working on what they call 4D creation where objects won't just sit still they'll interact with players and each other in real time and it's giving users way more freedom to shape their own game worlds generative AI is changing three-dimensional design faster than ever and it's exciting to see where this could lead if you've got thoughts on it feel free to share in the comments don't forget to hit that like button and