
Jon Hernandez
@JonhernandezIA • 25,820 subscribers
Artificial Intelligence Communicator 🤖 | YouTube Spanish Channel +700k
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📁 Sam Altman says the real AI breakthrough will not be better reasoning, but total memory. An AI will be able to remember every conversation, email, and document across a person’s lifetime, identifying patterns and preferences humans never consciously express. Once memory becomes persistent, the idea of a personal assistant will fundamentally change.
Jon Hernandez4,271,588 просмотров • 8 месяцев назад

So this guy plugged an Ai to a robot and ask the Ai to shoot him, but the Ai refused... Until it actually shoot him 😂 We are so fucked
Jon Hernandez1,393,230 просмотров • 9 месяцев назад

📁 Sam Altman says he hasn’t had a good night of sleep since launching ChatGPT. What worries him most are not technical issues, but human ones: around 15,000 people commit suicide every week worldwide, and an estimated 10% of them, about 1,500, had spoken with ChatGPT before doing so. He wonders what they could have done better to save them.
Jon Hernandez1,351,872 просмотров • 1 год назад

📁 Demis Hassabis, CEO of DeepMind, says robotics didnt fail because of hardware. It failed because intelligence was missing. Gemini level models finally give robots the software brain they needed. When intelligence works, hardware follows. AGI doesnt live behind a screen. It moves.
Jon Hernandez902,042 просмотров • 8 месяцев назад

"AI models are terrible for learning." Andrew Ng, AI researcher and co-founder of Google Brain and Coursera, says AI boosts output while weakening long-term retention. The real challenge is using AI to amplify thinking without outsourcing the thinking itself. Open intelligence only creates progress if humans keep building judgment and context.
Jon Hernandez19,092 просмотров • 7 дней назад

📁 Fei-Fei Li, former Google Chief Scientist, says the industry is dangerously fixated on language models. Most of the real economy is physical, perceptual and spatial. Once AI fully understands the visual world, it stops being a chatbot and starts becoming infrastructure.
Jon Hernandez216,225 просмотров • 3 месяцев назад

"We should merge with them." Michio Kaku, theoretical physicist and futurist, says robots could eventually become as intelligent as humans, and we should merge with them. The next frontier of AI may not be replacing humans, but augmenting human intelligence.
Jon Hernandez42,504 просмотров • 21 дней назад

“A superintelligence would be a million times smarter than us.” Roman Yampolskiy, associate professor of computer science at the University of Louisville, warns that once AI surpasses humans at everything, we may no longer understand what it is doing. The real shift is not smarter tools. It is losing the ability to predict and control the systems shaping our world. Open intelligence only matters if humans remain in the loop.
Jon Hernandez26,061 просмотров • 14 дней назад

“Once the platform works, biology becomes programmable.” Demis Hassabis, CEO of Google DeepMind, says AI drug discovery won’t progress gradually. It will look more like AlphaFold, years of quiet infrastructure work, then a sudden leap where the system can scale across entire disease areas.
Jon Hernandez165,890 просмотров • 3 месяцев назад

“AI will force us to redesign school.” Demis Hassabis, CEO of Google DeepMind, says AI should teach knowledge while classrooms develop human skills. Education shifts from standardized instruction to personalized learning, creativity, judgment, and collaboration. AI does not replace school. It changes what school is for.
Jon Hernandez83,823 просмотров • 1 месяц назад

"Humans will be competed to extinction." Connor Leahy, US Executive Director of ControlAI, argues AI could make human labor and political power irrelevant. The real risk is not just unemployment. It is humans losing control of the systems that run society.
Jon Hernandez17,022 просмотров • 10 дней назад

📁 Terence Tao, mathematician and Fields Medalist, says AI may look like it reasons, but it does not understand. Language models imitate the steps of human reasoning without solid foundations. Sometimes they get it right, sometimes they collapse entirely. The output looks convincing, but it is fragile. It feels like understanding, yet it is probability pretending to think.
Jon Hernandez252,608 просмотров • 8 месяцев назад

📁 Terence Tao, Fields Medalist mathematician, explains that neural networks do not understand concepts, but they uncover hidden patterns. In knot theory, a classical neural network discovered correlations between mathematical invariants no one had anticipated. It started as a black box, then became a real clue to deep structures humans had missed.
Jon Hernandez204,985 просмотров • 8 месяцев назад