In all seriousness, if you show Bing Chat an equation, it will go through the steps and solve it clearly, it’s actually really helpful. I really don’t understand all this hate for AI just because it’s AI. New technology is cool and useful, and I’d understand hating it because it’s made by Microsoft, I try to use free software including free AI, but AI in itself is not bad or useless.
Nah I don’t hate AI but an AI cannot do math faster than the hardware designed to do it. It’s like saying an emulator is faster than the bare hardware. The AI would have to find a revolutionary new way of solving the equation to make it faster than the hardware.
Of course, they’re different types of things. You give hard equations with lots of x and y to a chatbot, or ask it about a method you don’t understand, so it can explain it to you.
AI would have to find a revolutionary new way of solving the equation to make it faster than the hardware.
This doesn’t sound impossible. It reminded me of how AlphaGo, and how AlphaGo Zero became “the world’s top player” of Go by letting it train itself by trial-and-error instead of by watching human players using existing Go strategies:
During the games, AlphaGo played several inventive winning moves. In game two, it played Move 37 — a move that had a 1 in 10,000 chance of being used.
AlphaGo and its successors use a Monte Carlo tree search algorithm to find its moves based on knowledge previously acquired by machine learning, specifically by an artificial neural network (a deep learning method) by extensive training, both from human and computer play. A neural network is trained to identify the best moves and the winning percentages of these moves. This neural network improves the strength of the tree search, resulting in stronger move selection in the next iteration.
Training artificial intelligence (AI) without datasets derived from human experts has significant implications for the development of AI with superhuman skills because expert data is “often expensive, unreliable or simply unavailable.” Demis Hassabis, the co-founder and CEO of DeepMind, said that AlphaGo Zero was so powerful because it was “no longer constrained by the limits of human knowledge”.
Following this way of thinking, why let a human figure out how to solve equations most efficiently if the machine can find some way of calculating/computing that we had never even been able to think of?
Note, I’m investigating this with curiosity, and I’m no expert in the field.
They already did both of those. Paint has layers now and calculator got worse because they decided to split everything up into different modes which is a pain when you want to do hex conversions but also do non-truncated division, especially because it resets the history and storage when switching modes.
It seems to me like these apps are being redesigned by people who don’t use the features, or maybe with the primary design goal of reducing support calls from people who have no clue what they are doing.
Now do paint. Or even more useless: calculator.
No need to “fix” notepad. It does what it has to. If you’re a power user, you can download something else. But I’ll bet it won’t have Ai in it.
Why the fuck would I ever want AI in my calculators? Even Algebra never required AI in the past
Because AI is obviously better at solving math than the code programmers wrote. Duh. /S
In all seriousness, if you show Bing Chat an equation, it will go through the steps and solve it clearly, it’s actually really helpful. I really don’t understand all this hate for AI just because it’s AI. New technology is cool and useful, and I’d understand hating it because it’s made by Microsoft, I try to use free software including free AI, but AI in itself is not bad or useless.
Nah I don’t hate AI but an AI cannot do math faster than the hardware designed to do it. It’s like saying an emulator is faster than the bare hardware. The AI would have to find a revolutionary new way of solving the equation to make it faster than the hardware.
Of course, they’re different types of things. You give hard equations with lots of x and y to a chatbot, or ask it about a method you don’t understand, so it can explain it to you.
This doesn’t sound impossible. It reminded me of how AlphaGo, and how AlphaGo Zero became “the world’s top player” of Go by letting it train itself by trial-and-error instead of by watching human players using existing Go strategies:
Source: AlphaGo | Google DeepMind
Source: AlphaGo | Wikipedia
Source: AlphaGo Zero | Wikipedia
Following this way of thinking, why let a human figure out how to solve equations most efficiently if the machine can find some way of calculating/computing that we had never even been able to think of?
Note, I’m investigating this with curiosity, and I’m no expert in the field.
You don’t want reasonably written, believable, factually dubious answers from your calculator?
Because now it can be done on the cloud with AI for triple the time, also subscriptions.
It bills you each time you make a spelling error.
I wouldn’t mind a bit of wolfram alpha
They sure fucked up SwiftKey
Well, MS has been supporting paint.net for a while now. It’s kinda like MS Paint but not completely terrible.
They already did both of those. Paint has layers now and calculator got worse because they decided to split everything up into different modes which is a pain when you want to do hex conversions but also do non-truncated division, especially because it resets the history and storage when switching modes.
It seems to me like these apps are being redesigned by people who don’t use the features, or maybe with the primary design goal of reducing support calls from people who have no clue what they are doing.