1 00:00:00,000 --> 00:00:02,560 Welcome to the Daily AI News Podcast. 2 00:00:02,560 --> 00:00:04,260 We're diving deep into all those articles 3 00:00:04,260 --> 00:00:05,760 you've been reading about AI, 4 00:00:05,760 --> 00:00:07,880 especially how it's changing things for developers. 5 00:00:07,880 --> 00:00:10,440 It's a really exciting time to be building software. 6 00:00:10,440 --> 00:00:11,280 Totally. 7 00:00:11,280 --> 00:00:14,040 We've got a ton to cover from GitHub Universe 2024, 8 00:00:14,040 --> 00:00:17,280 plus VentureBeat, even some security stuff, 9 00:00:17,280 --> 00:00:19,040 and some quick hits from earnings calls. 10 00:00:19,040 --> 00:00:20,360 We'll try to make sense of it all, 11 00:00:20,360 --> 00:00:22,720 give you the big picture of where AI is heading 12 00:00:22,720 --> 00:00:24,440 and what it means for developers. 13 00:00:24,440 --> 00:00:25,280 Sounds good. 14 00:00:25,280 --> 00:00:28,360 So first up, GitHub Universe 2024. 15 00:00:28,360 --> 00:00:30,880 Microsoft was all about AI native development, 16 00:00:30,880 --> 00:00:33,680 which sounds kind of futuristic. 17 00:00:33,680 --> 00:00:35,400 It really is about changing how we think 18 00:00:35,400 --> 00:00:36,400 about building software, 19 00:00:36,400 --> 00:00:37,960 not just adding AI features, 20 00:00:37,960 --> 00:00:40,400 but making AI central to the whole process. 21 00:00:40,400 --> 00:00:41,760 So not just like an add-on. 22 00:00:41,760 --> 00:00:44,160 Right, more like baking it into the DNA 23 00:00:44,160 --> 00:00:46,080 of software development from the start. 24 00:00:46,080 --> 00:00:47,160 I like that analogy. 25 00:00:47,160 --> 00:00:49,520 And a good example of this is GitHub Copilot, 26 00:00:49,520 --> 00:00:50,960 which is getting a lot more powerful. 27 00:00:50,960 --> 00:00:53,000 Yeah, they've made some big changes. 28 00:00:53,000 --> 00:00:55,680 Like you can now choose from different AI models, 29 00:00:55,680 --> 00:00:57,400 not just one size fits all. 30 00:00:57,400 --> 00:01:00,080 There's Anthropics, Clawd 3.5, Sonnet, 31 00:01:00,080 --> 00:01:02,360 Google's Gemini 1.5 Pro, 32 00:01:02,360 --> 00:01:05,920 and even OpenAI's 01 Preview and 01 Mini. 33 00:01:05,920 --> 00:01:09,000 So developers can pick the AI that works best for them 34 00:01:09,000 --> 00:01:10,400 and how they code. 35 00:01:10,400 --> 00:01:12,800 And it's not just about writing code anymore. 36 00:01:12,800 --> 00:01:15,360 Copilot can do code reviews, security checks, 37 00:01:15,360 --> 00:01:16,800 even works right in your terminal. 38 00:01:16,800 --> 00:01:19,200 It's like having a super-powered AI assistant 39 00:01:19,200 --> 00:01:20,920 who's always there to help. 40 00:01:20,920 --> 00:01:23,120 I definitely need one of those. 41 00:01:23,120 --> 00:01:25,680 Then there's this experimental thing called GitHub Spark, 42 00:01:25,680 --> 00:01:27,680 which lets you build these little apps 43 00:01:27,680 --> 00:01:29,280 just by using natural language. 44 00:01:29,280 --> 00:01:32,720 It's all about making coding accessible to anyone, 45 00:01:32,720 --> 00:01:35,000 even if you don't know a programming language. 46 00:01:35,000 --> 00:01:36,040 That's really cool. 47 00:01:36,040 --> 00:01:38,200 Okay, so continuing on this whole Microsoft thing, 48 00:01:38,200 --> 00:01:40,520 the VentureBeat article we have 49 00:01:40,520 --> 00:01:43,560 dives into their strategy to, 50 00:01:43,560 --> 00:01:46,000 well, kind of dominate AI app development. 51 00:01:46,000 --> 00:01:47,160 They're going all in for sure. 52 00:01:47,160 --> 00:01:48,200 Yeah. 53 00:01:48,200 --> 00:01:51,600 A big part of that is this GitHub Copilot for Azure, 54 00:01:51,600 --> 00:01:54,200 which is like an AI assistant specifically for Azure. 55 00:01:54,200 --> 00:01:56,920 So it can help developers manage their cloud resources, 56 00:01:56,920 --> 00:01:59,800 deploy apps, even troubleshoot problems, 57 00:01:59,800 --> 00:02:01,840 all without leaving their coding environment. 58 00:02:01,840 --> 00:02:03,120 That sounds super handy. 59 00:02:03,120 --> 00:02:04,920 It definitely streamlines the workflow, 60 00:02:04,920 --> 00:02:06,880 lets developers focus on the code. 61 00:02:06,880 --> 00:02:08,920 And then they've got these AI app templates 62 00:02:08,920 --> 00:02:10,720 that you can use to get started quickly. 63 00:02:10,720 --> 00:02:13,640 You can have an AI app up and running in minutes, 64 00:02:13,640 --> 00:02:15,480 supporting a bunch of different frameworks. 65 00:02:15,480 --> 00:02:16,560 That's pretty impressive. 66 00:02:16,560 --> 00:02:18,240 It does seem like Microsoft is trying to create 67 00:02:18,240 --> 00:02:20,600 this whole ecosystem where everything just works together. 68 00:02:20,600 --> 00:02:21,840 They own GitHub and Azure, 69 00:02:21,840 --> 00:02:24,040 so they're in a good position to do that. 70 00:02:24,040 --> 00:02:25,840 And it'll be interesting to see how this plays out 71 00:02:25,840 --> 00:02:28,480 against like AWS and Google. 72 00:02:28,480 --> 00:02:30,520 It's definitely heating up the competition 73 00:02:30,520 --> 00:02:32,040 in the cloud space. 74 00:02:32,040 --> 00:02:34,960 Okay, let's shift gears a bit and talk about security. 75 00:02:34,960 --> 00:02:37,680 This research paper we have is a little bit scary. 76 00:02:37,680 --> 00:02:39,680 It found a ton of vulnerabilities 77 00:02:39,680 --> 00:02:42,360 in open source AI and ML models. 78 00:02:42,360 --> 00:02:44,720 Yeah, open source doesn't always mean secure. 79 00:02:44,720 --> 00:02:47,440 Like we're talking about tools like ChwantachatGPT, 80 00:02:47,440 --> 00:02:49,480 Lunary and local AI. 81 00:02:49,480 --> 00:02:51,880 And some of these flaws are pretty serious. 82 00:02:51,880 --> 00:02:55,360 Things like remote code execution, data theft, 83 00:02:55,360 --> 00:02:57,200 unauthorized access, 84 00:02:57,200 --> 00:02:59,200 definitely stuff you don't wanna mess with. 85 00:02:59,200 --> 00:03:01,120 And the techniques these attackers are using 86 00:03:01,120 --> 00:03:03,360 are getting more and more sophisticated. 87 00:03:03,360 --> 00:03:06,480 Like using emojis and hexadecimal code 88 00:03:06,480 --> 00:03:09,000 to bypass ChwantachatGPT safeguards. 89 00:03:09,000 --> 00:03:10,720 It's a cat and mouse game. 90 00:03:10,720 --> 00:03:12,440 As security measures get stronger, 91 00:03:12,440 --> 00:03:15,440 attackers find new ways to exploit weaknesses. 92 00:03:15,440 --> 00:03:17,560 So developers need to be really careful 93 00:03:17,560 --> 00:03:20,280 about the open source AI models they use 94 00:03:20,280 --> 00:03:22,400 and make sure security is the top priority. 95 00:03:22,400 --> 00:03:23,400 Absolutely. 96 00:03:23,400 --> 00:03:26,760 Don't assume that just because it's open source, it's secure. 97 00:03:26,760 --> 00:03:29,400 Do your due diligence, check for known vulnerabilities 98 00:03:29,400 --> 00:03:32,160 and implement appropriate security measures. 99 00:03:32,160 --> 00:03:34,800 All right, let's move on to something completely different. 100 00:03:34,800 --> 00:03:37,440 Open AI is now making their own chips. 101 00:03:37,440 --> 00:03:40,120 They're partnering with Broadcom and TSMC 102 00:03:40,120 --> 00:03:44,000 to build AI chips, specifically for inference, 103 00:03:44,000 --> 00:03:46,400 which is how AI models make predictions. 104 00:03:46,400 --> 00:03:47,760 This is a huge move. 105 00:03:47,760 --> 00:03:51,640 Open AI is one of the biggest buyers of NVIDIA GPUs, 106 00:03:51,640 --> 00:03:53,200 but it seems like they want more control 107 00:03:53,200 --> 00:03:55,680 over their hardware and maybe save some money too. 108 00:03:55,680 --> 00:03:56,520 It makes sense. 109 00:03:56,520 --> 00:03:58,080 Those GPUs are super expensive 110 00:03:58,080 --> 00:04:00,920 and training these large AI models can cost a fortune. 111 00:04:00,920 --> 00:04:03,120 And they're not just dabbling in chip design. 112 00:04:03,120 --> 00:04:04,760 They've even hired some of the top engineers 113 00:04:04,760 --> 00:04:06,240 from Google's TPU team. 114 00:04:06,240 --> 00:04:07,640 So they're serious about building 115 00:04:07,640 --> 00:04:09,560 high performance AI hardware. 116 00:04:09,560 --> 00:04:11,080 They even had this ambitious plan 117 00:04:11,080 --> 00:04:13,600 to build their own network of chip factories. 118 00:04:13,600 --> 00:04:14,920 But that got scaled back 119 00:04:14,920 --> 00:04:16,840 because of the cost and time involved. 120 00:04:16,840 --> 00:04:18,240 It's a massive undertaking, 121 00:04:18,240 --> 00:04:20,040 but it shows how committed they are 122 00:04:20,040 --> 00:04:21,480 to this chip strategy. 123 00:04:21,480 --> 00:04:24,480 Speaking of competition, let's talk about Google. 124 00:04:24,480 --> 00:04:26,000 During their Reason Earnings call, 125 00:04:26,000 --> 00:04:28,680 their CEO hinted at the next generation 126 00:04:28,680 --> 00:04:29,840 of their Gemini model, 127 00:04:29,840 --> 00:04:32,000 which is supposed to be even more powerful, 128 00:04:32,000 --> 00:04:35,000 and maybe even have some agent-like capabilities 129 00:04:35,000 --> 00:04:37,000 similar to Anthropics' Claude. 130 00:04:37,000 --> 00:04:38,880 Sounds like it's gonna be a game changer. 131 00:04:38,880 --> 00:04:41,960 And they're already using AI in a ton of different ways. 132 00:04:41,960 --> 00:04:44,840 Did you know that over 25% of new code at Google 133 00:04:44,840 --> 00:04:46,760 is being generated by AI? 134 00:04:46,760 --> 00:04:48,480 That's a lot of code. 135 00:04:48,480 --> 00:04:51,240 It shows how deeply integrated AI is becoming 136 00:04:51,240 --> 00:04:52,800 in their internal processes. 137 00:04:52,800 --> 00:04:54,040 Plus, it's helping them make money 138 00:04:54,040 --> 00:04:56,760 in search, cloud, and YouTube. 139 00:04:56,760 --> 00:04:59,200 Their earnings call showed really strong growth, 140 00:04:59,200 --> 00:05:00,440 driven apart by AI. 141 00:05:00,440 --> 00:05:02,720 Clearly, their AI investments are paying off. 142 00:05:02,720 --> 00:05:04,000 Okay, last but not least, 143 00:05:04,000 --> 00:05:05,440 we've got this emphasis report 144 00:05:05,440 --> 00:05:08,440 that looked at how businesses are adopting AI. 145 00:05:08,440 --> 00:05:11,120 It found that companies are really excited about AI, 146 00:05:11,120 --> 00:05:14,600 expecting a 15% productivity boost on average. 147 00:05:14,600 --> 00:05:16,720 That's a significant improvement. 148 00:05:16,720 --> 00:05:18,920 AI has the potential to revolutionize 149 00:05:18,920 --> 00:05:19,960 how businesses operate. 150 00:05:19,960 --> 00:05:21,240 But here's the problem. 151 00:05:21,240 --> 00:05:24,560 Only 2% of organizations are actually fully AI ready. 152 00:05:24,560 --> 00:05:26,720 That's a huge gap between the aspiration 153 00:05:26,720 --> 00:05:28,480 and the reality of AI adoption. 154 00:05:28,480 --> 00:05:29,920 They found that the biggest hurdles 155 00:05:29,920 --> 00:05:32,320 are lack of technical capabilities 156 00:05:32,320 --> 00:05:35,560 and problems with data accuracy and access. 157 00:05:35,560 --> 00:05:37,960 So it's not just about the technology itself. 158 00:05:37,960 --> 00:05:40,320 It's about having the right foundation in place 159 00:05:40,320 --> 00:05:42,440 to support AI implementation. 160 00:05:42,440 --> 00:05:45,760 Companies need to invest in developing their AI skills, 161 00:05:45,760 --> 00:05:47,960 creating clear data strategies, 162 00:05:47,960 --> 00:05:50,640 and building a culture that embraces AI. 163 00:05:50,640 --> 00:05:52,320 Otherwise, they risk falling behind 164 00:05:52,320 --> 00:05:54,520 in this rapidly evolving AI landscape. 165 00:05:54,520 --> 00:05:56,640 It's not just a technology project. 166 00:05:56,640 --> 00:05:58,960 It's a strategic imperative for businesses 167 00:05:58,960 --> 00:06:01,400 that want to stay competitive in the AI era. 168 00:06:01,400 --> 00:06:03,480 Couldn't have said it better myself. 169 00:06:03,480 --> 00:06:05,440 Yeah, it's amazing to see how fast things are moving, 170 00:06:05,440 --> 00:06:07,720 but let's go back to GitHub Universe for a sec. 171 00:06:07,720 --> 00:06:10,600 There were so many co-pilot updates, it's hard to keep up. 172 00:06:10,600 --> 00:06:12,160 Yeah, I know, right? 173 00:06:12,160 --> 00:06:15,480 Like, the multi-file editing in VS Code blew my mind. 174 00:06:15,480 --> 00:06:17,240 You can tell co-pilot to make changes 175 00:06:17,240 --> 00:06:20,400 across multiple files at the same time, using plain English. 176 00:06:20,400 --> 00:06:22,680 So instead of manually going through each file, 177 00:06:22,680 --> 00:06:25,000 you can just say, like, update all these functions 178 00:06:25,000 --> 00:06:27,360 to use the new API and co-pilot takes care of it. 179 00:06:27,360 --> 00:06:28,400 Yeah, that's exactly it. 180 00:06:28,400 --> 00:06:29,920 It would be a huge time saver, 181 00:06:29,920 --> 00:06:31,720 especially for those giant code bases. 182 00:06:31,720 --> 00:06:32,560 For sure. 183 00:06:32,560 --> 00:06:34,600 It's all about making developers more productive, right? 184 00:06:34,600 --> 00:06:35,440 Totally. 185 00:06:35,440 --> 00:06:37,320 And they've even got co-pilot doing code reviews now. 186 00:06:37,320 --> 00:06:39,000 I know, that's pretty cool. 187 00:06:39,000 --> 00:06:40,600 As soon as you create a pull request, 188 00:06:40,600 --> 00:06:43,240 co-pilot can jump in and give you feedback on your code, 189 00:06:43,240 --> 00:06:45,160 so you don't have to wait for another person to look at it. 190 00:06:45,160 --> 00:06:49,080 Especially useful for smaller teams or solo developers 191 00:06:49,080 --> 00:06:51,280 where you might not have dedicated code reviewers. 192 00:06:51,280 --> 00:06:52,240 Exactly. 193 00:06:52,240 --> 00:06:53,680 And beyond the fancy new features, 194 00:06:53,680 --> 00:06:56,480 they've also improved co-pilot's core functionality, 195 00:06:56,480 --> 00:06:58,880 like code completion and support for languages 196 00:06:58,880 --> 00:07:02,160 like C++ and.NET. 197 00:07:02,160 --> 00:07:04,080 So it's getting smarter all the time. 198 00:07:04,080 --> 00:07:06,160 And more widely available too. 199 00:07:06,160 --> 00:07:09,680 It now works in more tools, like Xcode and Windows Terminal. 200 00:07:09,680 --> 00:07:12,120 They're really making it part of the developers toolbox, 201 00:07:12,120 --> 00:07:13,480 no matter what you're using. 202 00:07:13,480 --> 00:07:17,400 Oh, there's also this co-pilot upgrade assistant for Java 203 00:07:17,400 --> 00:07:18,360 that's in preview. 204 00:07:18,360 --> 00:07:20,240 Have you had a chance to try that out? 205 00:07:20,240 --> 00:07:22,720 Not yet, but it sounds pretty amazing. 206 00:07:22,720 --> 00:07:26,000 So you know how upgrading Java runtimes or dependencies, 207 00:07:26,000 --> 00:07:29,440 like Spring Boot or Junit, can be a real pain? 208 00:07:29,440 --> 00:07:30,720 Oh yeah, definitely. 209 00:07:30,720 --> 00:07:32,360 Especially when you have a bunch of dependencies 210 00:07:32,360 --> 00:07:33,800 and libraries to manage. 211 00:07:33,800 --> 00:07:34,960 It can take forever. 212 00:07:34,960 --> 00:07:36,680 And you're always worried about breaking something. 213 00:07:36,680 --> 00:07:38,960 So many things can go wrong. 214 00:07:38,960 --> 00:07:40,760 Well, this upgrade assistant is supposed to make 215 00:07:40,760 --> 00:07:43,360 that whole process way easier. 216 00:07:43,360 --> 00:07:45,400 Codepilot analyzes your project, 217 00:07:45,400 --> 00:07:47,280 figures out the best upgrade path, 218 00:07:47,280 --> 00:07:49,440 and even helps you transform your code 219 00:07:49,440 --> 00:07:51,120 and fix any issues that pop up. 220 00:07:51,120 --> 00:07:53,240 It's like having an AI expert guiding you 221 00:07:53,240 --> 00:07:54,400 through the upgrade process. 222 00:07:54,400 --> 00:07:57,560 Right, so no more manual dependency, hell. 223 00:07:57,560 --> 00:07:58,800 Fingers crossed. 224 00:07:58,800 --> 00:08:02,240 Speaking of security, we talked about those vulnerabilities 225 00:08:02,240 --> 00:08:04,160 in open source AI models, 226 00:08:04,160 --> 00:08:06,080 but we should also think about the security 227 00:08:06,080 --> 00:08:07,560 of GitHub itself, right? 228 00:08:07,560 --> 00:08:08,920 Oh yeah, for sure. 229 00:08:08,920 --> 00:08:11,240 With millions of developers using GitHub, 230 00:08:11,240 --> 00:08:13,920 keeping that code secure is super important. 231 00:08:13,920 --> 00:08:16,240 It's the foundation of so much software development. 232 00:08:16,240 --> 00:08:17,720 They've been adding more security features, 233 00:08:17,720 --> 00:08:18,600 which is good to see. 234 00:08:18,600 --> 00:08:19,960 What kind of stuff are they doing? 235 00:08:19,960 --> 00:08:21,360 Well, for one, they've expanded 236 00:08:21,360 --> 00:08:24,600 Copilot Auto Fix to open source projects. 237 00:08:24,600 --> 00:08:26,720 So if a vulnerability is found, 238 00:08:26,720 --> 00:08:29,200 Copilot can automatically suggest a fix. 239 00:08:29,200 --> 00:08:30,040 That's pretty cool. 240 00:08:30,040 --> 00:08:31,560 It could really speed up the process 241 00:08:31,560 --> 00:08:33,200 of patching security holes. 242 00:08:33,200 --> 00:08:34,040 Exactly. 243 00:08:34,040 --> 00:08:36,840 And they're also doing these security campaigns 244 00:08:36,840 --> 00:08:40,040 to find and fix vulnerabilities at a larger scale. 245 00:08:40,040 --> 00:08:41,960 So it's not just about individual projects, 246 00:08:41,960 --> 00:08:45,040 but about improving the security of the whole ecosystem. 247 00:08:45,040 --> 00:08:47,720 Right, and it's all powered by AI, of course. 248 00:08:47,720 --> 00:08:49,560 Copilot can help you triage 249 00:08:49,560 --> 00:08:52,560 and fix thousands of security alerts automatically. 250 00:08:52,560 --> 00:08:55,160 It's like having an army of AI security experts 251 00:08:55,160 --> 00:08:56,320 working for you. 252 00:08:56,320 --> 00:08:57,640 I like that. 253 00:08:57,640 --> 00:08:59,240 And beyond just fixing bugs, 254 00:08:59,240 --> 00:09:00,720 they've also added new controls 255 00:09:00,720 --> 00:09:02,680 for governance and compliance. 256 00:09:02,680 --> 00:09:04,960 So admins have more control over things 257 00:09:04,960 --> 00:09:07,920 like user permissions and repository policies. 258 00:09:07,920 --> 00:09:10,560 Those features are super important for big companies 259 00:09:10,560 --> 00:09:11,960 that need to meet strict security 260 00:09:11,960 --> 00:09:13,440 and compliance requirements. 261 00:09:13,440 --> 00:09:14,360 And under the hood, 262 00:09:14,360 --> 00:09:16,040 they've made some performance improvements 263 00:09:16,040 --> 00:09:19,720 to GitHub actions, like faster ARM64 powered runners. 264 00:09:19,720 --> 00:09:22,400 So your workflows and CACD pipelines 265 00:09:22,400 --> 00:09:23,640 will run even smoother. 266 00:09:23,640 --> 00:09:24,880 Always a good thing. 267 00:09:24,880 --> 00:09:27,440 They also announced this new GitHub models platform, 268 00:09:27,440 --> 00:09:29,120 which is basically a place where you can try out 269 00:09:29,120 --> 00:09:32,200 and compare AI models from different providers, 270 00:09:32,200 --> 00:09:35,520 like OpenAI, Coher, Microsoft, and Mistral. 271 00:09:35,520 --> 00:09:37,880 Kind of like a marketplace for AI models. 272 00:09:37,880 --> 00:09:38,920 Exactly. 273 00:09:38,920 --> 00:09:41,880 You can even use the GitHub models CLI extension 274 00:09:41,880 --> 00:09:44,520 to access and run these models from your terminal. 275 00:09:44,520 --> 00:09:46,600 They're really going all in on AI, 276 00:09:46,600 --> 00:09:49,960 integrating it into every part of the developer experience. 277 00:09:49,960 --> 00:09:52,280 It really does feel that way. 278 00:09:52,280 --> 00:09:53,280 Okay, before we move on, 279 00:09:53,280 --> 00:09:56,320 remember that Infosys report we talked about earlier 280 00:09:56,320 --> 00:09:58,760 about businesses struggling to become AI ready? 281 00:09:58,760 --> 00:10:02,200 Yeah, we're only 2% are actually fully prepared for AI. 282 00:10:02,200 --> 00:10:04,200 Right, well, they broke down AI readiness 283 00:10:04,200 --> 00:10:06,360 into these five key areas. 284 00:10:06,360 --> 00:10:11,040 Talent, strategy, governance, data, and technology. 285 00:10:11,040 --> 00:10:14,400 Those are the building blocks of successful AI adoption. 286 00:10:14,400 --> 00:10:16,240 And they're all interconnected. 287 00:10:16,240 --> 00:10:18,400 You can't just focus on one and ignore the others. 288 00:10:18,400 --> 00:10:20,760 It's like trying to bake a cake without all the ingredients. 289 00:10:20,760 --> 00:10:24,080 So for companies that are serious about using AI, 290 00:10:24,080 --> 00:10:26,600 what are some concrete steps they can take 291 00:10:26,600 --> 00:10:28,480 to improve their readiness? 292 00:10:28,480 --> 00:10:30,360 The first thing is to honestly assess 293 00:10:30,360 --> 00:10:32,520 where they stand in those five areas. 294 00:10:32,520 --> 00:10:33,960 Figure out their strengths and weaknesses, 295 00:10:33,960 --> 00:10:35,040 where the gaps are, 296 00:10:35,040 --> 00:10:37,280 then they can start building a roadmap for improvements. 297 00:10:37,280 --> 00:10:38,640 So kind of like taking inventory. 298 00:10:38,640 --> 00:10:40,480 Exactly, figure out what you have, 299 00:10:40,480 --> 00:10:42,760 what you need, and how you're gonna get there. 300 00:10:42,760 --> 00:10:43,960 And it's not a one-time thing, right? 301 00:10:43,960 --> 00:10:45,280 It's an ongoing process. 302 00:10:45,280 --> 00:10:46,520 Absolutely. 303 00:10:46,520 --> 00:10:48,680 The AI landscape is constantly changing, 304 00:10:48,680 --> 00:10:51,200 so companies need to be constantly learning, 305 00:10:51,200 --> 00:10:53,680 adapting, and upgrading their capabilities. 306 00:10:53,680 --> 00:10:56,920 Okay, back to GitHub Universe one last time. 307 00:10:56,920 --> 00:11:00,720 They announced something called GitHub Copilot Extensions, 308 00:11:00,720 --> 00:11:02,120 which is a platform for building 309 00:11:02,120 --> 00:11:05,240 and sharing your own custom Copilot extensions. 310 00:11:05,240 --> 00:11:06,080 I saw that. 311 00:11:06,080 --> 00:11:08,240 It's like they're opening up Copilot to the community, 312 00:11:08,240 --> 00:11:11,600 letting developers create their own personalized extensions. 313 00:11:11,600 --> 00:11:14,480 You could build an extension to streamline your own workflow, 314 00:11:14,480 --> 00:11:17,120 or even integrate a proprietary tool, 315 00:11:17,120 --> 00:11:18,720 and then you can share your creations 316 00:11:18,720 --> 00:11:20,320 on the GitHub marketplace. 317 00:11:20,320 --> 00:11:21,800 It's like an app store for Copilot, 318 00:11:21,800 --> 00:11:22,640 which is pretty cool. 319 00:11:22,640 --> 00:11:24,480 It's a really smart move by Microsoft. 320 00:11:24,480 --> 00:11:27,440 It encourages innovation and collaboration around Copilot. 321 00:11:27,440 --> 00:11:28,840 It's a win-win. 322 00:11:28,840 --> 00:11:30,480 Developers get more powerful tools, 323 00:11:30,480 --> 00:11:32,640 and Microsoft gets a thriving community 324 00:11:32,640 --> 00:11:34,120 of Copilot enthusiasts. 325 00:11:34,120 --> 00:11:36,800 I think that covers everything from GitHub Universe. 326 00:11:36,800 --> 00:11:37,840 It was a busy event. 327 00:11:37,840 --> 00:11:39,640 Lots of exciting announcements. 328 00:11:39,640 --> 00:11:43,920 Okay, let's switch gears and talk about Google's AI ambitions. 329 00:11:43,920 --> 00:11:45,600 What have they been up to lately? 330 00:11:46,920 --> 00:11:48,880 Yeah, it seems like Google's putting AI 331 00:11:48,880 --> 00:11:50,280 into everything these days. 332 00:11:50,280 --> 00:11:51,640 They're really going all in, 333 00:11:51,640 --> 00:11:54,240 especially with that new Gemini model coming out soon. 334 00:11:54,240 --> 00:11:55,640 Which, by the way, sounds incredible 335 00:11:55,640 --> 00:11:56,840 from what they've hinted at. 336 00:11:56,840 --> 00:12:01,160 It's supposed to be a huge leap forward in AI capabilities. 337 00:12:01,160 --> 00:12:02,440 But even beyond Gemini, 338 00:12:02,440 --> 00:12:05,160 they're integrating AI into all their products. 339 00:12:05,160 --> 00:12:06,600 Yeah, like Search, for example. 340 00:12:06,600 --> 00:12:08,520 Which is still their biggest thing, right? 341 00:12:08,520 --> 00:12:11,080 How are they using AI to make Search better? 342 00:12:11,080 --> 00:12:14,000 They're using AI to understand what you really mean 343 00:12:14,000 --> 00:12:15,280 when you type in a search query, 344 00:12:15,280 --> 00:12:16,720 not just matching keywords. 345 00:12:16,720 --> 00:12:18,800 So it's more about intent, not just words. 346 00:12:18,800 --> 00:12:19,640 Exactly. 347 00:12:19,640 --> 00:12:21,880 It's about giving you the most relevant results, 348 00:12:21,880 --> 00:12:24,040 even if you don't use the exact right words. 349 00:12:24,040 --> 00:12:25,000 That makes sense. 350 00:12:25,000 --> 00:12:26,080 And then they've got those gems, 351 00:12:26,080 --> 00:12:28,880 which are like AI chatbots you can customize. 352 00:12:28,880 --> 00:12:31,880 They're kind of like personalized AI assistants 353 00:12:31,880 --> 00:12:35,000 tailored to specific tasks or areas of expertise. 354 00:12:35,000 --> 00:12:36,840 So instead of a general purpose chatbot, 355 00:12:36,840 --> 00:12:39,880 you could have a gem that's specifically designed 356 00:12:39,880 --> 00:12:44,000 to help you with, say, writing code or planning a trip. 357 00:12:44,000 --> 00:12:44,840 Exactly. 358 00:12:44,840 --> 00:12:47,320 It's about making AI more accessible 359 00:12:47,320 --> 00:12:49,120 and useful for everyone. 360 00:12:49,120 --> 00:12:50,840 And on the business side, 361 00:12:50,840 --> 00:12:53,920 they're investing a lot in AI for Google Cloud. 362 00:12:53,920 --> 00:12:56,520 Oh yeah, they're offering all kinds of AI tools 363 00:12:56,520 --> 00:12:58,160 and services for businesses, 364 00:12:58,160 --> 00:13:00,320 everything from machine learning frameworks 365 00:13:00,320 --> 00:13:04,800 to pre-trained models to even custom AI solutions. 366 00:13:04,800 --> 00:13:05,920 It seems like every cloud provider 367 00:13:05,920 --> 00:13:07,640 is trying to do that now, though, right? 368 00:13:07,640 --> 00:13:09,560 Yeah, but Google has a strong advantage 369 00:13:09,560 --> 00:13:11,880 because of their expertise in AI. 370 00:13:11,880 --> 00:13:15,080 They've been investing in AI research for years, 371 00:13:15,080 --> 00:13:17,760 and they have some of the best AI talent in the world. 372 00:13:17,760 --> 00:13:19,520 Plus they have a ton of data, 373 00:13:19,520 --> 00:13:21,640 which is essential for training AI models. 374 00:13:21,640 --> 00:13:22,680 And it's working. 375 00:13:22,680 --> 00:13:24,160 Their latest earnings call show 376 00:13:24,160 --> 00:13:26,680 that Google Cloud revenue is growing rapidly, 377 00:13:26,680 --> 00:13:29,080 thanks in part to their AI offerings. 378 00:13:29,080 --> 00:13:31,800 Circling back to GitHub Universe for a second, 379 00:13:31,800 --> 00:13:33,400 do you remember how Microsoft kept talking 380 00:13:33,400 --> 00:13:35,680 about making GitHub more enterprise grade? 381 00:13:35,680 --> 00:13:37,840 Yeah, they're definitely targeting bigger companies 382 00:13:37,840 --> 00:13:39,000 with these new features. 383 00:13:39,000 --> 00:13:40,200 Like the data residency 384 00:13:40,200 --> 00:13:42,200 for GitHub Enterprise Cloud in the EU. 385 00:13:42,200 --> 00:13:44,200 Oh yeah, that's a big deal for companies 386 00:13:44,200 --> 00:13:46,640 that need to comply with GDPR 387 00:13:46,640 --> 00:13:48,840 and other data privacy regulations. 388 00:13:48,840 --> 00:13:52,400 Now they can keep their code and data within the EU, 389 00:13:52,400 --> 00:13:54,440 which is a big relief for a lot of companies. 390 00:13:54,440 --> 00:13:56,280 And it shows that GitHub is serious 391 00:13:56,280 --> 00:13:58,800 about meeting the needs of enterprise customers. 392 00:13:58,800 --> 00:14:01,280 They also made some big improvements to GitHub issues, 393 00:14:01,280 --> 00:14:03,880 like adding sub-issues and advanced search. 394 00:14:03,880 --> 00:14:05,560 Which is great for managing 395 00:14:05,560 --> 00:14:07,640 those really complex projects 396 00:14:07,640 --> 00:14:09,560 that big teams often work on. 397 00:14:09,560 --> 00:14:11,920 It's all about making GitHub a more powerful 398 00:14:11,920 --> 00:14:14,880 and scalable platform for enterprise development. 399 00:14:14,880 --> 00:14:16,560 And they also added new controls 400 00:14:16,560 --> 00:14:18,360 for governance and compliance, 401 00:14:18,360 --> 00:14:20,080 giving administrators more control 402 00:14:20,080 --> 00:14:22,200 over security and user permissions. 403 00:14:22,200 --> 00:14:24,120 So they're really tightening up security 404 00:14:24,120 --> 00:14:26,200 and making GitHub more enterprise ready. 405 00:14:26,200 --> 00:14:28,280 It's a smart move considering how many businesses 406 00:14:28,280 --> 00:14:30,840 rely on GitHub for their software development. 407 00:14:30,840 --> 00:14:33,680 And lastly, they made some under the hood improvements 408 00:14:33,680 --> 00:14:36,600 to GitHub actions, making it faster and more efficient. 409 00:14:36,600 --> 00:14:37,560 Always a good thing. 410 00:14:37,560 --> 00:14:39,160 Developers love it when their tools 411 00:14:39,160 --> 00:14:40,680 are fast and reliable. 412 00:14:40,680 --> 00:14:42,920 Okay, so that wraps up GitHub Universe. 413 00:14:42,920 --> 00:14:44,800 It was a packed event for sure. 414 00:14:44,800 --> 00:14:46,600 Lots of interesting stuff to think about. 415 00:14:46,600 --> 00:14:48,480 Especially all the AI announcements. 416 00:14:48,480 --> 00:14:50,520 It really does feel like AI is changing 417 00:14:50,520 --> 00:14:52,480 everything about software development. 418 00:14:52,480 --> 00:14:53,960 So before we finish up, 419 00:14:53,960 --> 00:14:55,600 what's the one key takeaway 420 00:14:55,600 --> 00:14:57,640 you want to leave our listeners with? 421 00:14:57,640 --> 00:14:59,280 Embrace the change. 422 00:14:59,280 --> 00:15:01,120 AI is here to stay, 423 00:15:01,120 --> 00:15:03,960 and it's going to transform how we build software. 424 00:15:03,960 --> 00:15:04,960 Don't be afraid of it. 425 00:15:04,960 --> 00:15:07,280 See it as an opportunity to learn new skills 426 00:15:07,280 --> 00:15:09,080 and become a more powerful developer. 427 00:15:09,080 --> 00:15:10,760 It's not about replacing developers. 428 00:15:10,760 --> 00:15:13,840 It's about giving them better tools and superpowers. 429 00:15:13,840 --> 00:15:14,960 Exactly. 430 00:15:14,960 --> 00:15:17,200 AI can automate tedious tasks, 431 00:15:17,200 --> 00:15:19,040 provide valuable insights, 432 00:15:19,040 --> 00:15:20,760 and help us build more innovative 433 00:15:20,760 --> 00:15:22,400 and sophisticated applications. 434 00:15:22,400 --> 00:15:23,280 Well said. 435 00:15:23,280 --> 00:15:25,080 Thanks for joining us for this deep dive 436 00:15:25,080 --> 00:15:26,280 into the world of AI. 437 00:15:26,280 --> 00:15:27,400 It's been a pleasure. 438 00:15:27,400 --> 00:15:29,600 Always fun to talk about the future of software development. 439 00:15:29,600 --> 00:15:32,200 Thanks for listening to the Daily AI News Podcast, 440 00:15:32,200 --> 00:15:50,880 and we'll catch you next time.