1 00:00:00,000 --> 00:00:03,040 Alright, let's dive into this research page where everyone's talking about. 2 00:00:03,040 --> 00:00:07,280 It's all about chat GPT in computer science education. 3 00:00:07,280 --> 00:00:09,280 Is it a friend or a foe? 4 00:00:09,280 --> 00:00:11,760 Yeah, the researchers really tried to get to the bottom of that. 5 00:00:11,760 --> 00:00:15,760 What stood out to me is they didn't just ask chat GPT to write some code. 6 00:00:15,760 --> 00:00:19,720 They actually designed these tests, almost like a whole computer science curriculum. 7 00:00:19,720 --> 00:00:24,320 They started with foundational knowledge and went all the way up to advanced topics like, 8 00:00:24,320 --> 00:00:26,160 get this, quantum computing. 9 00:00:26,160 --> 00:00:27,480 Whoa, quantum computing. 10 00:00:27,480 --> 00:00:30,880 So like, they put chat GPT through a CS boot camp? 11 00:00:30,880 --> 00:00:34,080 Did they at least use the newest version, like, 4? 12 00:00:34,080 --> 00:00:36,320 Well, actually, they used 3.5. 13 00:00:36,320 --> 00:00:40,200 At the time, it was the most widely available version, so made sense for students. 14 00:00:40,200 --> 00:00:41,560 Right, gotta keep it realistic. 15 00:00:41,560 --> 00:00:44,400 Okay, so level one was like CS 101. 16 00:00:44,400 --> 00:00:46,080 What kind of stuff did they test there? 17 00:00:46,080 --> 00:00:50,560 So that was all about fundamental skills, like writing Python for common algorithms, 18 00:00:50,560 --> 00:00:52,640 sorting algorithms, data structures, that kind of thing. 19 00:00:52,640 --> 00:00:53,680 Okay, the building blocks. 20 00:00:53,680 --> 00:00:55,120 How'd chat GPT do? 21 00:00:55,120 --> 00:00:57,200 Honestly, pretty darn good. 22 00:00:57,200 --> 00:01:00,000 82% of the code it generated was totally correct. 23 00:01:00,000 --> 00:01:03,960 The other 18% was like, incomplete, but fixable. 24 00:01:03,960 --> 00:01:04,480 Wow. 25 00:01:04,480 --> 00:01:07,680 Yeah, they even gave it the bubble sort algorithm, nailed it. 26 00:01:07,680 --> 00:01:08,880 First try. 27 00:01:08,880 --> 00:01:10,280 But isn't that kind of dangerous? 28 00:01:10,280 --> 00:01:12,600 Like, what if students just copy and paste? 29 00:01:12,600 --> 00:01:13,840 They don't actually learn anything. 30 00:01:13,840 --> 00:01:15,320 Absolutely, that's the big question. 31 00:01:15,320 --> 00:01:18,560 Chat GPT can write the code, but students need to understand it. 32 00:01:18,560 --> 00:01:21,520 Just like you can use a calculator, but you still gotta know basic math. 33 00:01:21,520 --> 00:01:23,400 Right, gotta get those fundamentals down. 34 00:01:23,400 --> 00:01:25,680 So chat GPT past kindergarten. 35 00:01:25,680 --> 00:01:28,200 What about middle school? 36 00:01:28,200 --> 00:01:30,320 Level two, core competency. 37 00:01:30,320 --> 00:01:32,640 So that's where things get a little spicier. 38 00:01:32,640 --> 00:01:36,360 This time, they switched to Java and focused on design patterns. 39 00:01:36,360 --> 00:01:40,200 Okay, so less about just coding, more about like elegant coding. 40 00:01:40,200 --> 00:01:41,080 Exactly. 41 00:01:41,080 --> 00:01:44,880 Think of design patterns as solutions to common programming problems, 42 00:01:44,880 --> 00:01:48,720 like blueprints for good, clean code. 43 00:01:48,720 --> 00:01:55,000 Ah, so they're testing if chat GPT can write code that other humans can actually read. 44 00:01:55,000 --> 00:01:57,440 Right, and they even had it do some refactoring, 45 00:01:57,440 --> 00:02:01,200 like cleaning up existing code to make it better without changing how it works. 46 00:02:01,200 --> 00:02:03,520 Oh, and they even had it try to write some JANIT tests. 47 00:02:03,520 --> 00:02:06,280 Oh yeah, JANIT tests every developer's favorite, right? 48 00:02:06,280 --> 00:02:07,240 Ah, right. 49 00:02:07,240 --> 00:02:09,960 But seriously, those are super important now, aren't they? 50 00:02:09,960 --> 00:02:14,040 Totally, it's like having a robot QA tester built into your code. 51 00:02:14,040 --> 00:02:16,600 So did chat GPT pass this level too? 52 00:02:16,600 --> 00:02:18,840 Well, it wasn't a total fail. 53 00:02:18,840 --> 00:02:23,680 Most of the code was technically correct, but it wasn't very pretty. 54 00:02:23,680 --> 00:02:24,400 What do you mean? 55 00:02:24,400 --> 00:02:27,120 Like it would cram everything into one giant file, 56 00:02:27,120 --> 00:02:30,240 which is like a huge no-no for organization. 57 00:02:30,240 --> 00:02:33,920 Ah, so it worked, but it would give any developer a headache looking at it. 58 00:02:33,920 --> 00:02:34,680 Pretty much. 59 00:02:34,680 --> 00:02:37,080 They also found a lot of code smells. 60 00:02:37,080 --> 00:02:38,040 Code smells. 61 00:02:38,040 --> 00:02:40,280 It's like not an actual error, 62 00:02:40,280 --> 00:02:44,160 but a sign that the code might be hard to maintain or understand. 63 00:02:44,160 --> 00:02:45,920 Hmm, interesting. 64 00:02:45,920 --> 00:02:48,440 Okay, and what about the JANIT tests? 65 00:02:48,440 --> 00:02:49,960 Did those at least work? 66 00:02:49,960 --> 00:02:50,520 Not really. 67 00:02:50,520 --> 00:02:52,040 Sometimes they wouldn't even compile, 68 00:02:52,040 --> 00:02:55,040 and often they didn't really test what they were supposed to. 69 00:02:55,040 --> 00:02:55,760 Yikes. 70 00:02:55,760 --> 00:02:59,960 So not exactly a shining example for students learning how to write tests. 71 00:02:59,960 --> 00:03:01,120 Nope, definitely not. 72 00:03:01,120 --> 00:03:04,160 You got to know what you're doing to evaluate chat GPT's output. 73 00:03:04,160 --> 00:03:07,560 So for level two, it sounds like chat GPT needs a good tutor itself. 74 00:03:07,560 --> 00:03:09,920 Yeah, more like a study partner, not a teacher. 75 00:03:09,920 --> 00:03:13,360 All right, well, before we move on to the final boss, quantum computing, 76 00:03:13,360 --> 00:03:19,080 what was the researcher's overall take on chat GPT at this intermediate level? 77 00:03:19,080 --> 00:03:23,280 Well, they saw potential, especially for exploring different ideas and getting started, 78 00:03:23,280 --> 00:03:25,200 but they were pretty clear. 79 00:03:25,200 --> 00:03:28,160 It's not ready to replace a human programmer just yet. 80 00:03:28,160 --> 00:03:28,520 Got it. 81 00:03:28,520 --> 00:03:29,640 Still need some work. 82 00:03:29,640 --> 00:03:29,920 Yeah. 83 00:03:29,920 --> 00:03:31,440 All right, let's crank up the difficulty. 84 00:03:31,440 --> 00:03:34,080 What did they throw at chat GPT at level three? 85 00:03:34,080 --> 00:03:37,680 Okay, hold on tight, because for this one, they went full on quantum. 86 00:03:37,680 --> 00:03:38,560 Quantum computing. 87 00:03:38,560 --> 00:03:40,840 That's like next level stuff, right? 88 00:03:40,840 --> 00:03:42,200 Well, yeah, definitely advanced. 89 00:03:42,200 --> 00:03:44,960 You got to know your physics and your computer science for this one. 90 00:03:44,960 --> 00:03:48,280 So what exactly do they ask chat GPT to do? 91 00:03:48,280 --> 00:03:50,480 So they focused on quantum gates. 92 00:03:50,480 --> 00:03:54,080 These are the like fundamental building blocks of quantum circuits. 93 00:03:54,080 --> 00:03:57,800 First, they asked it to define different types of gates, you know, explain what they do. 94 00:03:57,800 --> 00:04:02,280 Then they wanted it to create a visual representation of each gate, like a diagram. 95 00:04:02,280 --> 00:04:04,360 And finally, the real challenge. 96 00:04:04,360 --> 00:04:09,560 They give it specific quantum states and asked it to calculate the final state 97 00:04:09,560 --> 00:04:11,360 after applying a certain gate. 98 00:04:11,360 --> 00:04:12,440 Whoa, that's hardcore. 99 00:04:12,440 --> 00:04:14,440 So did chat GPT's brain melt? 100 00:04:14,440 --> 00:04:16,320 Well, we'll find out after a quick break. 101 00:04:16,320 --> 00:04:17,120 Oh, come on. 102 00:04:17,120 --> 00:04:18,440 You can't leave us hanging like that. 103 00:04:18,440 --> 00:04:20,160 Oh, all right. 104 00:04:20,160 --> 00:04:21,280 All right, no break. 105 00:04:21,280 --> 00:04:24,160 Let's get right back into it. 106 00:04:24,160 --> 00:04:29,320 So we left off with chat GPT facing the quantum challenge, defining those gates, 107 00:04:29,320 --> 00:04:31,880 drawing them and calculating final states. 108 00:04:31,880 --> 00:04:33,600 Yeah, I'm on the edge of my seat here. 109 00:04:33,600 --> 00:04:34,360 Did it pass? 110 00:04:34,360 --> 00:04:37,760 Well, it was kind of a mixed bag, honestly, like its performance on level two. 111 00:04:37,760 --> 00:04:38,480 Oh, no. 112 00:04:38,480 --> 00:04:41,320 When it came to defining the gates, it actually did OK. 113 00:04:41,320 --> 00:04:44,000 Like it could explain in words what each gate does. 114 00:04:44,000 --> 00:04:46,120 So it knows its quantum vocabulary. 115 00:04:46,120 --> 00:04:49,240 Yeah, it seems like it can grasp the basic theory pretty well. 116 00:04:49,240 --> 00:04:51,040 But what about the diagrams? 117 00:04:51,040 --> 00:04:52,640 Could it draw those accurately? 118 00:04:52,640 --> 00:04:55,360 Hmm, that's where things got a little messy. 119 00:04:55,360 --> 00:04:59,560 It tried, but the diagrams were often incomplete or had errors. 120 00:04:59,560 --> 00:05:02,960 So it's like explaining a dance move, getting the steps wrong. 121 00:05:02,960 --> 00:05:04,120 Yeah, something like that. 122 00:05:04,120 --> 00:05:07,000 It's like it's missing the visual language of quantum circuits. 123 00:05:07,000 --> 00:05:08,880 OK, and what about that final challenge? 124 00:05:08,880 --> 00:05:11,000 Calculating the final quantum states. 125 00:05:11,000 --> 00:05:13,680 Ooh, that's where things really went south. 126 00:05:13,680 --> 00:05:15,600 It got a lot of answers wrong. 127 00:05:15,600 --> 00:05:17,640 And sometimes it would even contradict itself. 128 00:05:17,640 --> 00:05:20,600 Like it was sure it was right even when it was wrong. 129 00:05:20,600 --> 00:05:22,440 Yeah, pretty much. 130 00:05:22,440 --> 00:05:23,960 Which is kind of scary, right? 131 00:05:23,960 --> 00:05:27,080 Especially with something like quantum computing where precision is key. 132 00:05:27,080 --> 00:05:29,320 Yeah, you don't want it to be confidently wrong. 133 00:05:29,320 --> 00:05:32,840 So does this mean chat GPT just doesn't get quantum mechanics? 134 00:05:32,840 --> 00:05:33,760 It seems that way. 135 00:05:33,760 --> 00:05:36,840 Like it's just mimicking patterns from its training data, 136 00:05:36,840 --> 00:05:39,480 not really understanding the underlying principles. 137 00:05:39,480 --> 00:05:40,520 Hmm. 138 00:05:40,520 --> 00:05:44,520 So it's like trying to solve a math problem without knowing the concepts. 139 00:05:44,520 --> 00:05:45,280 Exactly. 140 00:05:45,280 --> 00:05:48,720 You might get lucky sometimes, but mostly you'll be way off. 141 00:05:48,720 --> 00:05:52,600 Did the researchers have any ideas about why it struggles with this? 142 00:05:52,600 --> 00:05:56,760 They think it might be because chat GPT relies on statistics. 143 00:05:56,760 --> 00:05:59,320 And quantum mechanics is all about probability. 144 00:05:59,320 --> 00:06:01,480 Like the outcome isn't always certain. 145 00:06:01,480 --> 00:06:04,000 Ah, so it's used to things being more black and white. 146 00:06:04,000 --> 00:06:06,800 Yeah, and the quantum world is anything but. 147 00:06:06,800 --> 00:06:08,120 So what's the lesson here? 148 00:06:08,120 --> 00:06:11,600 Don't blindly trust the AI, especially with complex topics. 149 00:06:11,600 --> 00:06:14,000 Always double check, use your own knowledge. 150 00:06:14,000 --> 00:06:17,680 Right, that GPT can be a helpful tool, but it's not a magical oracle. 151 00:06:17,680 --> 00:06:18,720 Definitely not. 152 00:06:18,720 --> 00:06:23,200 The researcher said it's not ready to be the main source for learning quantum computing. 153 00:06:23,200 --> 00:06:25,960 More like a study buddy that you got to keep an eye on. 154 00:06:25,960 --> 00:06:27,440 OK, that makes sense. 155 00:06:27,440 --> 00:06:33,000 But earlier you mentioned this idea of using chat GPT's flaws as a teaching tool, 156 00:06:33,000 --> 00:06:35,600 like trying to trick it into making mistakes. 157 00:06:35,600 --> 00:06:36,720 That sounds pretty interesting. 158 00:06:36,720 --> 00:06:37,240 It is. 159 00:06:37,240 --> 00:06:41,600 Instead of seeing those flaws as roadblocks, turn them into learning opportunities. 160 00:06:41,600 --> 00:06:44,360 So like a game of catch the AI error. 161 00:06:44,360 --> 00:06:45,160 Exactly. 162 00:06:45,160 --> 00:06:47,720 Students would have to really think critically to do that. 163 00:06:47,720 --> 00:06:51,120 And in the process they'd learn a lot about the topic itself. 164 00:06:51,120 --> 00:06:51,880 Right. 165 00:06:51,880 --> 00:06:55,800 And maybe even some strategies for evaluating AI in general. 166 00:06:55,800 --> 00:07:00,680 So it's not just about computer science, it's about critical thinking skills for the future. 167 00:07:00,680 --> 00:07:01,840 Exactly. 168 00:07:01,840 --> 00:07:05,440 The researchers even suggest having students create their own data sets. 169 00:07:05,440 --> 00:07:08,920 Data sets specifically designed to trip up chat GPT. 170 00:07:08,920 --> 00:07:10,920 Whoa, that's taking it to a whole new level. 171 00:07:10,920 --> 00:07:12,880 It would be like training AI auditors. 172 00:07:12,880 --> 00:07:16,720 Students who can really assess the strengths and weaknesses of these tools. 173 00:07:16,720 --> 00:07:18,000 That's a pretty amazing idea. 174 00:07:18,000 --> 00:07:18,520 Yeah. 175 00:07:18,520 --> 00:07:22,640 So instead of just using AI, they're learning to understand it from the inside out. 176 00:07:22,640 --> 00:07:23,240 Yep. 177 00:07:23,240 --> 00:07:25,960 And that could be a game changer for education. 178 00:07:25,960 --> 00:07:28,120 OK, this is all really fascinating. 179 00:07:28,120 --> 00:07:32,880 But before we get too carried away, did the researchers have any other practical tips 180 00:07:32,880 --> 00:07:35,520 for using chat GPT in education? 181 00:07:35,520 --> 00:07:36,480 They did. 182 00:07:36,480 --> 00:07:39,880 They think it can be really valuable for collaborative learning. 183 00:07:39,880 --> 00:07:41,440 Like a virtual study group member. 184 00:07:41,440 --> 00:07:42,600 Yeah, exactly. 185 00:07:42,600 --> 00:07:46,480 So instead of just getting answers from it, students use it to spark discussion. 186 00:07:46,480 --> 00:07:47,000 Right. 187 00:07:47,000 --> 00:07:50,680 It becomes part of the learning process, not a replacement for it. 188 00:07:50,680 --> 00:07:51,640 I like that. 189 00:07:51,640 --> 00:07:54,720 So they could ask it to generate some code, then analyze it together. 190 00:07:54,720 --> 00:07:55,200 Yep. 191 00:07:55,200 --> 00:07:58,400 Discuss what's good, what's bad, come up with their own solutions. 192 00:07:58,400 --> 00:08:00,440 That's much more engaging than just working alone. 193 00:08:00,440 --> 00:08:01,000 It is. 194 00:08:01,000 --> 00:08:05,040 And it fits with the trend of more active learning in education. 195 00:08:05,040 --> 00:08:05,760 Awesome. 196 00:08:05,760 --> 00:08:07,200 So big takeaway. 197 00:08:07,200 --> 00:08:11,200 Chat GPT can be a great tool, but use it strategically. 198 00:08:11,200 --> 00:08:11,840 Absolutely. 199 00:08:11,840 --> 00:08:14,400 Think about your goals and don't be afraid to experiment. 200 00:08:14,400 --> 00:08:14,760 All right. 201 00:08:14,760 --> 00:08:19,560 Well, we've covered a lot of ground here, from basic coding to quantum mechanics, 202 00:08:19,560 --> 00:08:21,520 and now to teaching strategies. 203 00:08:21,520 --> 00:08:22,880 It's a lot to think about. 204 00:08:22,880 --> 00:08:23,600 It is. 205 00:08:23,600 --> 00:08:25,040 But one thing's for sure. 206 00:08:25,040 --> 00:08:28,520 Chat GPT is shaking things up in computer science education. 207 00:08:28,520 --> 00:08:29,440 No doubt about it. 208 00:08:29,440 --> 00:08:32,480 And it's raising some big questions about the future of learning in general. 209 00:08:32,480 --> 00:08:33,960 Big questions, indeed. 210 00:08:33,960 --> 00:08:34,360 OK. 211 00:08:34,360 --> 00:08:36,800 Well, we're almost out of time for today. 212 00:08:36,800 --> 00:08:42,600 But I'm really curious about this idea of Chat GPT democratizing access to education. 213 00:08:42,600 --> 00:08:46,440 Could it make learning more accessible and engaging for everyone? 214 00:08:46,440 --> 00:08:47,600 That's a great question. 215 00:08:47,600 --> 00:08:50,320 And a whole other topic we could dive into. 216 00:08:50,320 --> 00:08:51,680 Yeah, maybe next time. 217 00:08:51,680 --> 00:08:54,360 But for now, I want to thank you for joining me on this deep dive. 218 00:08:54,360 --> 00:08:55,960 It's been a pleasure, as always. 219 00:08:55,960 --> 00:08:58,040 And to all our listeners, thanks for tuning in. 220 00:08:58,040 --> 00:09:01,200 We'll see you next time on the deep dive. 221 00:09:01,200 --> 00:09:05,600 So we've seen how Chat GPT can be both brilliant and baffling. 222 00:09:05,600 --> 00:09:10,080 Acing basic coding, but struggling with those complex quantum calculations. 223 00:09:10,080 --> 00:09:11,400 Yeah, a real mixed bag. 224 00:09:11,400 --> 00:09:15,120 But beyond those specific tests, what about the bigger picture? 225 00:09:15,120 --> 00:09:20,280 Could there be some unexpected benefits of using Chat GPT in computer science education? 226 00:09:20,280 --> 00:09:21,040 Oh, absolutely. 227 00:09:21,040 --> 00:09:22,800 Like, think about accessibility. 228 00:09:22,800 --> 00:09:27,280 Chat GPT could be a huge help for students who don't have traditional resources. 229 00:09:27,280 --> 00:09:30,520 Like, maybe they don't have a good tutor or a well-equipped computer lab. 230 00:09:30,520 --> 00:09:32,600 Right, so it could kind of level the playing field. 231 00:09:32,600 --> 00:09:35,680 Give everyone a chance to learn, regardless of their background. 232 00:09:35,680 --> 00:09:36,560 Exactly. 233 00:09:36,560 --> 00:09:38,840 And it's always available 24-7. 234 00:09:38,840 --> 00:09:40,920 Yeah, like a coding buddy who never sleeps. 235 00:09:40,920 --> 00:09:42,640 Uh-huh, pretty much. 236 00:09:42,640 --> 00:09:44,680 And it could make learning more engaging, too. 237 00:09:44,680 --> 00:09:49,560 OK, yeah, sometimes computer science can feel kind of dry, especially for beginners. 238 00:09:49,560 --> 00:09:55,560 Right, but what if you could use Chat GPT to gamify the learning process? 239 00:09:55,560 --> 00:09:56,120 Well, I like that. 240 00:09:56,120 --> 00:09:59,520 Like, turn it into a challenge, see if you can outsmart the AI. 241 00:09:59,520 --> 00:10:02,760 Or use it to create interactive coding puzzles. 242 00:10:02,760 --> 00:10:04,120 Oh, it definitely make it more fun. 243 00:10:04,120 --> 00:10:06,720 And it could even help personalize the learning experience. 244 00:10:06,720 --> 00:10:07,520 Oh, so? 245 00:10:07,520 --> 00:10:11,960 Well, Chat GPT could adapt to each student's pace. 246 00:10:11,960 --> 00:10:16,240 Give them targeted feedback, suggest resources based on their interests. 247 00:10:16,240 --> 00:10:18,920 So it's like a custom-made learning pass for every student. 248 00:10:18,920 --> 00:10:19,840 Exactly. 249 00:10:19,840 --> 00:10:25,440 Of course, we have to be careful about bias in the data and make sure it's used ethically. 250 00:10:25,440 --> 00:10:28,440 Right, we don't want to create new problems while trying to solve old ones. 251 00:10:28,440 --> 00:10:29,600 Definitely not. 252 00:10:29,600 --> 00:10:34,600 But overall, it seems like Chat GPT could be a really positive force in computer science education. 253 00:10:34,600 --> 00:10:35,560 I think so. 254 00:10:35,560 --> 00:10:39,360 It's not a replacement for good teachers or human interaction. 255 00:10:39,360 --> 00:10:41,080 Right, it's a tool, not a teacher. 256 00:10:41,080 --> 00:10:47,640 But it's a tool with a lot of potential to make learning more accessible, engaging, and personalized. 257 00:10:47,640 --> 00:10:53,880 So for our listeners who are maybe thinking about using Chat GPT in their own learning, what's your advice? 258 00:10:53,880 --> 00:10:56,280 Don't be afraid to experiment. 259 00:10:56,280 --> 00:10:57,560 Try different things. 260 00:10:57,560 --> 00:10:58,880 See what works for you. 261 00:10:58,880 --> 00:11:01,120 And most importantly, keep thinking critically. 262 00:11:01,120 --> 00:11:04,080 Absolutely, because that's something no AI can teach you. 263 00:11:04,080 --> 00:11:05,040 Well said. 264 00:11:05,040 --> 00:11:10,200 It's been a fascinating deep dive, exploring all the possibilities and challenges of Chat GPT. 265 00:11:10,200 --> 00:11:12,080 I agree, it's been a great discussion. 266 00:11:12,080 --> 00:11:14,920 And to all our listeners, thank you for joining us on the deep dive. 267 00:11:14,920 --> 00:11:28,240 Keep exploring, keep learning, and we'll see you next time.