New AI from China DESTROYS GPT-4.5 🔥🤖 | The AI Wars Just Got Real! AI Revolution - video Dailymotion

Ai Revolution

⚠️ BREAKING: A powerful new AI model from China has just been revealed — and it's outperforming GPT-4.5 on every level! 🇨🇳🧠💥  In this video, we explore:  🤖 What this Chinese AI can do that GPT-4.5 can’t  🧪 Benchmarks and real-world comparisons  🌍 What this means for the global AI race  🥵 How OpenAI, Google, and others might respond  The AI WARS are officially heating up 🔥—is the future of AI shifting eastward?  📌 Like & Subscribe for the latest updates in AI and tech innovation!  #AIWars #GPT45 #ChineseAI #AIRevolution #AIvsAI #FutureOfAI #ArtificialIntelligence #OpenAI #TechNews #AIModel #GPT4 #ChinaTech #AIBreakthrough #GlobalAI #AIUpdate #NextGenAI #MachineLearning #AIComparison #AIShowdown #EmergingTech

Transcript

00:00So, Baidu just made a bold move in the AI arms race.

00:06And it's not just another model drop.

00:08It's a strategic shift aimed at shaking the foundations of China's AI market.

00:13On April 25th, Baidu officially introduced two upgraded models,

00:17Ernie 4.5 Turbo and Ernie X1 Turbo.

00:21Let me tell you, these models are turning heads not just because of their performance,

00:26but also because of their pricing.

00:28Now, for those of you who've been following Baidu's AI journey,

00:31you'll know this isn't some sudden pivot.

00:34Their Ernie series dates back to 2019,

00:37when the first model outperformed even Google and Microsoft on the Glue benchmark.

00:42That version used a clever strategy,

00:45masking strings of characters rather than individual words,

00:48which made it a powerhouse in Chinese language understanding

00:51while still holding its own in English.

00:53Fast forward to today, and Baidu's AI infrastructure

00:56is handling over 1.5 billion API calls daily.

01:00That's a 7.5 times increase in usage,

01:03which says a lot about how deeply these models are embedded across industries now.

01:08So, what's new with Ernie 4.5 Turbo and X1 Turbo?

01:12First off, they're fast, smart, and ridiculously cheap,

01:15especially compared to the competition.

01:17Ernie 4.5 Turbo comes in at only 11 cents per 1 million input tokens

01:22and 44 cents for output.

01:24That's roughly 40% of the price of DeepSeq V3,

01:28which was considered a solid contender until now.

01:31Meanwhile, the X1 Turbo model is priced just a bit higher,

01:3514 cents for inputs and 55 cents for outputs,

01:38but it still undercuts DeepSeq R1 by around 25%.

01:43But price isn't the only headline here.

01:45Performance-wise, Baidu's new Turbo models are firing on all cylinders.

01:50Ernie 4.5 Turbo scored an average of 77.68 on benchmark tests for multimodal tasks.

01:57To put that in perspective, GPT-4.0, the much-hyped multimodal release from OpenAI, scored 72.76.

02:06So, yeah, Baidu's model actually outperformed GPT-4.0 in that category.

02:12These models are built for serious work,

02:14multimodal understanding, logical reasoning, creative writing, and even image analysis.

02:19They integrate seamlessly with tools and APIs through Baidu's key and fan platform,

02:24making them a solid choice for developers, enterprises, and researchers.

02:28X1 Turbo, in particular, is all about deep reasoning.

02:32It's essentially an upgraded brain sitting on top of 4.5 Turbo,

02:36enhancing chain-of-thought capabilities and tool calling.

02:40And if you're wondering how this all fits into the bigger picture,

02:43this is Baidu aligning itself tightly with China's national AI strategy.

02:49Beijing has been pushing hard to make China the global AI leader by 2030,

02:55and Baidu's a centerpiece in that plan.

02:57They're not just any tech company.

02:59They were chosen to lead the National Engineering Lab of Deep Learning.

03:03That kind of institutional backing doesn't just come with money.

03:06It also comes with data access, research talent, and long-term policy support.

03:11Private investment in generative AI in China exploded from $650 million in 2023

03:18to over $3.1 billion in 2024.

03:21And Baidu is right at the center of that storm.

03:24With over 4,300 AI companies now active across China

03:28and an AI market valued above $70 billion, there's serious momentum.

03:33And with tech giants like Alibaba and Tencent racing to launch their own advanced models,

03:39like Tencent's Hanyan T1, the competition is fierce.

03:43Everyone's scrambling for market share, and

03:46Baidu is playing both the long and short game.

03:49Drive down prices to increase adoption today,

03:52while investing in next-gen models to dominate tomorrow.

03:56During Baidu's Create 2025 Developer Conference,

03:59Robin Li, Baidu's founder, doubled down on the importance of choosing the right base model

04:04and fine-tuning it for real-world applications.

04:07According to him,

04:09multimodal models are the future.

04:11Pure text models are already on their way out.

04:14This is why both Turbo models now support text, image, and logic-based inputs,

04:18and they've been tuned for diverse scenarios,

04:21from education to finance to healthcare.

04:24But it doesn't stop there.

04:26Baidu also showed off something that honestly feels straight out of a sci-fi movie,

04:31a hyper-realistic digital anchor system powered by their Wenshin models.

04:35It's called Huope Hue Boxing, and it lets you clone yourself,

04:39or anyone else, for live broadcasting.

04:42You just record a two-minute video, and boom!

04:45An AI-powered version of you, complete with facial expressions, emotions, and gestures,

04:49is ready to go live.

04:51And it doesn't just sit there.

04:53It thinks.

04:54It reacts in real-time, changes tone, shows visuals, even switches roles during a broadcast.

05:00One person can now run an entire marketing team with the help of one AI anchor.

05:06So, whether you're selling beauty products on a livestream, hosting an educational channel,

05:10or launching a game promo, Baidu's digital anchor tech is designed to maximize conversion and user retention.

05:17And again, it's all powered by the same deep, multimodal architecture that's driving their core language models.

05:24Now, if we zoom out just a bit, this is also Baidu's answer to rising geopolitical pressures.

05:30With the U.S. cracking down on exports to Chinese tech firms, Baidu's message at this event was clear.

05:36They're not slowing down, they're self-reliant, they're optimized for cost,

05:40and they're setting the pace both in China and increasingly on the global stage.

05:45But while Baidu's been grabbing attention with its rapid model releases and digital clones in Asia,

05:50over in the U.S., NVIDIA just made a huge leap, but in a completely different direction.

05:56Instead of chasing the general-purpose AI crowd, NVIDIA went deep into a problem that's been frustrating researchers for years.

06:04Mathematical reasoning.

06:06Large language models might be great at chatting, generating stories, and even passing coding interviews,

06:11but when it comes to solving complex math problems, especially multi-step ones, they usually start to fall apart.

06:18NVIDIA took that challenge head-on with its new OpenMath Nemetron series.

06:24They've introduced two models, OpenMath Nemetron 32B and a smaller, more efficient version called the 14B Kaggle model.

06:34Both are built on top of the QUIN 2.5 architecture and fine-tuned using a dataset called OpenMath Reasoning,

06:40which is packed with difficult problems pulled from actual math competitions like the AIME,

06:46the Harvard Math Math Mathematics Tournament, and the HLE Math Series.

06:50These aren't basic equations, they're the kind of problems that require multiple logical steps and a solid grasp of advanced concepts,

06:57the stuff that usually trips up even the most capable LOMs.

07:01Now, the 32B model is a beast.

07:04It has 32.8 billion parameters and was specifically optimized for NVIDIA's own hardware using BF16 tensor operations

07:13to maximize performance while keeping memory usage efficient.

07:17In its tool-integrated reasoning mode, basically where it can use external tools during the reasoning process,

07:24it scored a pass at one accuracy of 78.4% on AIME24.

07:31Even more impressive, when using majority voting techniques, it hit 93.3% accuracy.

07:38That's industry-leading performance beating out everything else in this space so far.

07:42But not everyone has access to data centers stacked with high-end GPUs, right?

07:47That's where the 1.4b Kaggle model comes in.

07:51It's lighter, 14.8 billion parameters, but it's optimized to punch well above its weight.

07:57It was designed specifically for competitive performance and it actually won the AIMO2 Kaggle competition,

08:03which focused on solving advanced math challenges.

08:06In chain-of-thought mode, where the model shows its work step-by-step,

08:10it scored 73.7% on AIME24.

08:14Under GenSelect mode, which generates multiple answers and picks the most consistent one,

08:19it pushed that up to 86.7%.

08:22That's serious performance from a relatively compact model.

08:26What's great about both versions is that they come with full transparency.

08:30NVIDIA's made the entire training pipeline open-source through their NEMO Skills framework.

08:35You can access everything from data generation and training steps to benchmark testing and inference configurations.

08:41Whether you're a developer building a next-gen math tutor or someone integrating formal reasoning into a scientific workflow,

08:47you get all the tools you need to build on top of what NVIDIA's already done.

08:51And from an infrastructure standpoint, it's all been optimized to run across NVIDIA's hardware ecosystem,

08:57from Ampere to the newer Hopper GPUs.

09:00You also get support for Triton Inference Server, CUDA libraries and TensorRT optimizations,

09:06which means you can deploy these models in real-time systems or batch jobs without major latency trade-offs.

09:12What's especially clever is the flexibility in how you use them.

09:17There's chain-of-thought mode if you want transparency and step-by-step reasoning,

09:21tool-integrated reasoning when external problem-solving is needed,

09:24and GenSelect if you want maximum answer precision.

09:27This adaptability makes the models useful not just in academic environments,

09:31but also in performance, explainability, and accuracy all matter.

09:35So while NVIDIA is solving math like a pro, Baidu's over here cloning humans for livestreams.

09:41But if you found out your favorite streamer wasn't real, just a digital copy, would you keep watching?

09:46Should we be amazed or genuinely concerned?

09:49Drop your thoughts in the comments, thanks for watching, and I'll catch you in the next one.

10:05Hi.

New AI from China DESTROYS GPT-4.5 🔥🤖 | The AI Wars Just Got Real! AI Revolution

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