How does artificial intelligence learn? – Briana Brownell

48 thoughts on “How does artificial intelligence learn? – Briana Brownell”

1. Strobe effects warning: Please note that this animation features flashing lights and colors from 1:52 to 1:56

2. Tried to break a. I app, i get banned

3. Change animation please

4. How tf humans forces stone to think, then forced it to learn

5. The voiceover sounds AI. Am I right?

6. There was an AI model that was trained on cancer positive data, and negative cancer data. The problem was, the negative cancer data was sourced differently. The AI model learned to look for how the data was sourced, instead of information IN that data.
   This is one of the issues with providing data, and not realizing HOW the AI model learned the differences. A human would have not even looked at the data source, but the AI model doesn't know what relevant parameters should be ignored, unless you specifically tell it to. (if you even know)

7. Can you please turn the awful music off?

8. Cant tell me thats not a swastika in the beginning

9. Amazing visuals 🤩

10. Great visualization!

11. Its weird how when i am kid watching terminator and this could be happen next

12. Statistics and matrices

13. Chemical reactions, technically.
    We need an ai that specificaly does 1+1 or smth, we need to simplify it until we get it at least a lil

14. Fun fact: its easier to multiply anything by 10 than any other number
    This is because of a algorithm we were taught: add a zero at the end.
    Yeah

15. 4:36 just add "misuse of ai" to the geneva convention. Maybe that willl work or something.

16. Nó thật sự khó hiểu😅

17. No they won't… Doctors, many Doctors, in fact most Doctors absolutely will not check the numbers and then decide on their own the diagnosis. Be realistic that's not true!

18. this video is a work of art

19. If there was ever a vidoe of wrong visuals to explain something this is it. Distracting and confusing

20. Scary (the content).

21. Ultra creative presentation <3

22. Thank God to whoever made these visuals

23. 600K+ views : 200K to know, 400K after their high:)

24. who else high right now

25. music please

26. neurodivergwnt ppl seeing this video be like- OH COOL PATTERNS, WHAT WAS AI AGAIN?

27. Gosh, got a headache watching the video and kept zoning out because of the animation. Really unfortunate choice of the visual part

28. I feel like I just took an acid trip wth

29. why do these videos have that terrible looping music in the background that distracts you

30. this was a whole lot of nothing

31. Weirdest Ted-Ed ever. I found myself marching in place for 14 hours clapping cans together until my wife pulled me out. We shut off the video and I stopped drooling. I can't tell you one thing, however, about how AI learns. But I did lose a couple pounds. Score!

32. As a computer science, major, I would say that I have to disagree with one part that states that the more advanced we become the less we understand the more we understand the less we understand in the context of broadening our spectrum of potential understanding once unlocking doors to uncharted territory, but not to the extent of how the code we create, and the algorithms we design, are performing and how they function.

33. One of the worst visuals I ever seen

34. 🎯 Key points for quick navigation:

    💡 Artificial intelligence can self-teach using basic instructions, creating unique rules and strategies for tasks like diagnoses and traffic predictions.
    🧩 Machine learning comprises three main types: unsupervised, supervised, and reinforcement learning, used depending on data analysis requirements.
    🔍 Unsupervised learning identifies patterns and similarities in data without human guidance, ideal for discovering emerging trends in large datasets.
    👨‍⚕️ Supervised learning involves active human input, using specific data to generate targeted algorithms, such as for medical diagnoses.
    🏥 Reinforcement learning uses feedback to iteratively improve outcomes, suitable for developing adaptive treatment plans in medicine.
    🧠 Combining different machine learning methods can enhance AI systems' complexity, allowing them to supervise and teach each other.
    🤖 Artificial neural networks, resembling brain neurons, solve complex tasks but are less transparent in their decision-making process.
    ❓ As AI becomes integral to daily life, transparency, and ethical teaching between AI systems are crucial for safety and effectiveness.

    Made with HARPA AI

35. terrible video. use visuals that actually have meaning and actual content associated with them. This is uneducational.

36. Wow, pretty orbs pulsing 😮 I love when pretty orbs pulsate 😮😮😮 (what’s the video about)

37. Super confused tbh

38. I had to repeat watching this many times because of these nonsense visuals

39. What’s up with the swastikas bro

40. Ai is super judgemental. Basically.

41. The music is so distracting.

42. Def a blessing and the ladder

43. Need an i for ai ii

44. Reminds me of indian teleserials where they use every animation and graphic effects with outrageously loud background sound.

45. the graphics are absolute bollocks

46. visuals ruined this video for me

47. si usted ! quiere si !

48. Veo 3

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