GPT-4.5 Is Here: A Game-changing Giant AI!

Artificial intelligence has just crossed a new milestone, and this time, a storm is brewing. GPT-4.5, the latest creation from OpenAI, is crushing the track with an outrageous ambition: to dominate by size. While 2025 is already overwhelmed by announcements of rival models – such as Claude from Anthropic or R1 from DeepSeek, designed with a pittance of a budget – OpenAI is betting everything on gigantism. With a $200 monthly ChatGPT Pro subscription, insiders can now test this colossus. But behind the promises lie bold strategic choices… and surprising paradoxes.

Is Excess the Doctrine for AI?

OpenAI no longer hides its ambitions: “Bigger, always bigger.” The launch of GPT-4.5 is part of a technological arms race, where every parameter, every artificial neuron, is a step towards a supposedly omniscient AI. Unlike DeepSeek, which shook Silicon Valley by optimizing costs and performances, OpenAI persists: billions invested, gigantic infrastructures, and a model so greedy in computation that it becomes mysterious. “The numbers? They will remain in the shadows,” is whispered at OpenAI.

Yet, this excess might have a merit: capturing the elusive nuances of humanity. Mia Glaese, head of the alignment team, assures: “The more we know, the less we invent.” Translation: GPT-4.5 would hallucinate less because its vast knowledge prevents it from filling in gaps with imagination. A tempting argument, but it raises a question: how far can we enlarge a model before hitting physical or ethical limits?

Between the lines, a conflict emerges. On one side, efficiency proponents like DeepSeek prove that performance is not just a matter of size. On the other, OpenAI stands firm, making raw power its banner.

A risky bet, as academic benchmarks reveal weaknesses: surpassed in math by o3-mini, trailing in sciences, GPT-4.5 truly shines only in language. “Benchmarks don’t tell the whole story,” retorts Glaese. The real revolution would be elsewhere.

User Experience: Between Promises and Grey Areas

Let’s get to the concrete things. Pro subscribers discover GPT-4.5 with promising features: web search, file analysis, image processing… but still no voice AI. Strange, considering that multimodal is supposed to be the future. The result: exchanges remain confined to text, with the hope that this so-called “natural” will finally arrive.

Initial feedback? Mixed. For programming or writing, it’s smoother, more efficient. But as soon as it comes to handling specific scientific topics, the results leave one perplexed. In short, the evolution is subtle, almost imperceptible to the general public.

The real question is what comes next. OpenAI assures: GPT-4.5 will be the last model without “chained reasoning.” In other words, no more need to manually choose a model: ChatGPT will automatically adapt to each request. An enticing advancement… but it raises a real question: where has the user’s freedom gone in all this?

With GPT-4.5, OpenAI persists in the idea that a model that is always larger is the key to a more “human” AI, despite skyrocketing costs. But faced with lighter and equally efficient models, this race for size makes one think. Meanwhile, the tech giants are seizing the opportunity to drive Wall Street to crazy heights.