Do AI models really reason… or are we just being fooled? Let’s… – Jose Antonio Tejedor Garcia

Jose Antonio Tejedor Garcia

Helping enterprises build soft skills & engagement through immersive metaverse training & AI | CEO at Virtway

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2 8 Comment on LinkedIn

June 9, 2025

Do AI models really reason… or are we just being fooled? Let’s break the illusion: Imagine a student acing the test not because they understand... but because they memorized past answers. That’s what most AI models do: → High performance ≠ real reasoning → Just data contamination (aka shortcut learning) More tokens ≠ more intelligence More data ≠ deeper logic It’s like giving a student extra practice time… Sure, they’ll do better. But that’s repetition, not reasoning. Now here’s the kicker: Even when we give models the exact steps to follow (think Tower of Hanoi), they still struggle when tasks get harder. ❌ They can’t generalize ❌ They collapse under complexity ❌ They overthink easy problems ❌ They underthink the hard ones All signs of a pattern recognizer not a thinker. So we have to ask… Are we seeing genuine reasoning? Or just large-scale mimicry? Let’s rethink how we measure “intelligence” in AI and start separating pattern matching from problem solving. Is that your experience?

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2 Comment on LinkedIn

June 9, 2025

Discussion about this post

Fernando Cabo Díaz

Expert en finances industrielles et projets d’innovation climatique | CFO / Contrôleur | Expert indépendant Innovation Fund (CINEA, Commission Européenne)

5 months ago

Jose Antonio T. antes de nada reconozco que sólo soy un iniciado que mira con interés y asombro toda la transformación que está ocurriendo. Mi impresión la resumiría sobre el estado de la cuestión en este momento es que la IA (LLMs en particular) "Es mucho más de lo que esperaba, pero bastante menos de lo que creo que va a llegar a ser - en breve además". He colaborado y sigo haciéndolo con plataformas de "entrenamiento" de LLMs como Mindrift, Alignerr, DataAnotation y Outlier, y hay MUUUUCHO margen de mejora. Demasiadas hallucinations y problemas de conciseness, verbosity, pero sobre todo TRUTHFULNESS en los replies. Son proyectos con estadios de avance pre-mercado, eso sí. Soy usuario de pago de ChatGPT y veo avances cada día. Por ahora, mi humilde opinión: "el secreto está en el Prompting", y las AIs existentes (he probado Perplexity y lógicamente Gemini y el Copilot del MS365) son mejorables pero extraordinarios compañeros de viaje que se han convertido en HERRAMIENTAS DE PRODUCTIVIDAD tremendas (bajo supervisión), al menos en aplicaciones de comunicación, educación, análisis, marketing, palancas de los nuevos paradigmas comerciales (Spinning Wheel, contenidos, customización, etc.). Ni un gramo de optimismo?🙄

Jose Antonio Tejedor Garcia

Helping enterprises build soft skills & engagement through immersive metaverse training & AI | CEO at Virtway

6 months ago

Source: https://machinelearning.apple.com/research/illusion-of-thinking

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