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How smart is today’s artificial intelligence?

Vox | May 4, 2026



Current AI is impressive, but it’s not intelligent.

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Sources:
https://hbr.org/2016/11/what-artificial-intelligence-can-and-cant-do-right-now
https://www.mckinsey.com/global-themes/digital-disruption/harnessing-automation-for-a-future-that-works
https://www.amazon.com/Master-Algorithm-Ultimate-Learning-Machine/dp/0465065708
https://ai100.stanford.edu/sites/default/files/ai_100_report_0831fnl.pdf
https://www.bloomberg.com/professional/blog/business-focus-artificial-intelligence-rising-2/
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.368.2254&rep=rep1&type=pdf
http://yann.lecun.com/exdb/publis/pdf/jackel-95.pdf
https://www.recode.net/2016/5/4/11634228/learning-about-deep-learning
https://www.theverge.com/2016/7/12/12158238/first-click-deep-learning-algorithmic-black-boxes
https://www.theverge.com/2017/3/30/15124466/ai-photo-style-transfer-deep-neural-nets-adobe
https://www.techspot.com/news/71935-convolutional-neural-networks-used-fight-lung-cancer.html
https://openreview.net/pdf?id=BkjLkSqxg
https://med.stanford.edu/news/all-news/2016/08/computers-trounce-pathologists-in-predicting-lung-cancer-severity.html
https://arxiv.org/pdf/1609.06647.pdf
https://www.theverge.com/2017/4/12/15271874/ai-adversarial-images-fooling-attacks-artificial-intelligence
https://arstechnica.com/gaming/2016/06/an-ai-wrote-this-movie-and-its-strangely-moving/
https://www.ibm.com/blogs/research/2017/12/ai-video-understanding/
https://hbr.org/cover-story/2017/07/the-business-of-artificial-intelligence
https://rodneybrooks.com/the-seven-deadly-sins-of-predicting-the-future-of-ai/

Something incredible has taken place in the past 5 years: a revolution in artificial intelligence. After decades of little progress, the combination of big data and advances in computer hardware have brought AI applications to life: from self-driving cars to home assistants to augmented reality and instant language translation. If some of these applications feel like science fiction it’s because deep learning algorithms are powering a true breakthrough in machine intelligence. But with these truly impressive advances comes a great deal of hype: fears of terminator-type bots turning on humans and stealing all our jobs. In this video we sort out the fact from fiction in this very exciting field.

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Written by Vox

Comments

This post currently has 27 comments.

  1. @Vox

    May 4, 2026 at 6:59 pm

    If you want to see how some summarizing tools work – check out the reddit bot autotldr https://www.reddit.com/user/autotldr/comments/ It tells us which keywords it uses to select the sentences for the summary, and you can go back and compare to the source article to judge for yourself how it performed. Also, here's some info about a more advanced summarizing system that Salesforce is working on https://www.salesforce.com/products/einstein/ai-research/tl-dr-reinforced-model-abstractive-summarization/ I think they will continue to struggle with figuring out what is important and interesting in the source text, but you can see how it can be useful to some degree. -joss

  2. @Thomas-1023

    May 4, 2026 at 6:59 pm

    Incredible! This is a masterpiece of content. I recently read a similar book, and it was an unforgettable experience. "Game Theory and the Pursuit of Algorithmic Fairness" by Jack Frostwell

  3. @VideoMagician77

    May 4, 2026 at 6:59 pm

    I don't really see a need for general intelligence in an A.I system. If the A.I is really good at doing a specific task better than a human being, this alone would be enough for A.I systems to automate all human jobs.

  4. @bishoashraf4600

    May 4, 2026 at 6:59 pm

    Ai is very bad at this moment.
    It needs more general algorithm to make it think like humans and take right decisions from analyzing samll amount of data. The key is to learn Ai how to learn.

  5. @alexbaltimore4201

    May 4, 2026 at 6:59 pm

    In truth, AI will never touch human intelligence. People mistake AI as actual intelligence: it's not! They haven't figured our how the brain has pre-knowledge before experience, so they try to pre-program complex algorithms into AI to anticipate things. For a good theory of how the brain actually acquires pre-knowledge, youtube search "Immanuel's Law" and see this guy theory about how the brain adapts its EM waves to normalize quantum indeterminacy to perceive the real world. Somehow, according to this guy, this process gains us judgment. AI doesn't have judgment, so we should treat it as though it does.

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