Podcasts about google deepmind

Today, I'm excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan Kilpatrick and Shrestha Basu Mallick, PMs at Google DeepMind working on AI Studio and the Gemini API, along with Kwindla Kramer, CEO of Daily and creator of the Pipecat open source project. We cover all the highlights from the event, including enhancements to the Gemini models like thinking budgets and thought summaries, native audio output for expressive voice AI, and the new URL Context tool for research agents. The discussion also digs into the Gemini Live API, covering its architecture, the challenges of building real-time voice applications (such as latency and voice activity detection), and new features like proactive audio and asynchronous function calling. Finally, don't miss our guests' wish lists for next year's I/O! The complete show notes for this episode can be found at https://twimlai.com/go/733.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical considerations when deciding whether to hire an external AI expert or develop internal AI capabilities. You’ll learn why it is essential to first define your organization’s specific AI needs and goals before seeking any AI expertise. You’ll discover the diverse skill sets that comprise true AI expertise, beyond just technology, and how to effectively vet potential candidates. You’ll understand how AI can magnify existing organizational challenges and why foundational strategy must precede any AI solution. You’ll gain insight into how to strategically approach AI implementation to avoid costly mistakes and ensure long-term success for your organization. Watch now to learn how to make the right choice for your organization’s AI future. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-should-you-hire-ai-expert.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, a few people have asked us the question, should I hire an AI expert—a person, an AI expert on my team—or should I try to grow AI expertise, someone as an AI leader within my company? I can see there being pros and cons to both, but, Katie, you are the people expert. You are the organizational behavior expert. I know the answer is it depends. But at first blush, when someone comes to you and says, hey, should I be hiring an AI expert, somebody who can help shepherd my organization through the crazy mazes of AI, or should I grow my own experts? What is your take on that question? Katie Robbert – 00:47 Well, it definitely comes down to it depends. It depends on what you mean by an AI expert. So, what is it about AI that they are an expert in? Are you looking for someone who is staying up to date on all of the changes in AI? Are you looking for someone who can actually develop with AI tools? Or are you looking for someone to guide your team through the process of integrating AI tools? Or are you looking for all of the above? Which is a totally reasonable response, but that doesn’t mean you’ll get one person who can do all three. So, I think first and foremost, it comes down to what is your goal? And by that I mean, what is the AI expertise that your team is lacking? Katie Robbert – 01:41 Or what is the purpose of introducing AI into your organization? So, unsurprisingly, starting with the 5P framework, the 5Ps are purpose, people, process, platform, performance, because marketers like alliteration. So, purpose. You want to define clearly what AI means to the company, so not your ‘what I did over summer vacation’ essay, but what AI means to me. What do you want to do with AI? Why are you bringing AI in? Is it because I want to keep up with my competitors? Bad answer. Is it because you want to find efficiencies? Okay, that’s a little bit better. But if you’re finding efficiencies, first you need to know what’s not working. So before you jump into getting an AI expert, you probably need someone who’s a process expert or an expert in the technologies that you feel like are inefficient. Katie Robbert – 02:39 So my personal stance is that there’s a lot of foundational work to do before you figure out if you can have an AI expert. An AI expert is like bringing in an AI piece of software. It’s one more thing in your tech stack. This is one more person in your organization fighting to be heard. What are your thoughts, Chris? Christopher S. Penn – 03:02 AI expert is kind of like saying, I want to hire a business expert. It’s a very umbrella term. Okay, are your finances bad? Is your hiring bad? Is your sales process bad? To your point, being very specific about your purpose and the performance—which are the bookends of the 5Ps—is really important because otherwise AI is a big area. You have regression, you have classification, you have generative AI. Even within generative AI, you have coding, media generation. There’s so many things. We were having a discussion internally in our own organization this morning about some ideas about internationalization using AI. It’s a big planet. Katie Robbert – 03:46 Yeah, you’ve got to give me some direction. What does that mean? I think you and I, Chris, are aligned. If you’re saying, ‘I want to bring in an AI expert,’ you don’t actually know what you’re looking for because there are so many different facets of expertise within the AI umbrella that you want to be really specific about what that actually means and how you’re going to measure their performance. So if you’re looking for someone to help you make things more efficient, that’s not necessarily an AI expert. If you’re concerned that your team is not on board, that’s not an AI expert. If you are thinking that you’re not getting the most out of the platforms that you’re using, that’s not an AI expert. Those are very different skill sets. Katie Robbert – 04:38 An AI expert, if we’re talking—let’s just say we could come up with a definition of an AI expert—Chris, you are someone who I would consider an AI expert, and I would list those qualifications as: someone who stays up to date. Someone who knows enough that you can put pretty much any model in front of them and they know how to build a prompt, and someone who can speak to how these tools would integrate into your existing tech stack. My guess is that’s the kind of person that everybody’s looking for: someone to bring AI into my organization, do some light education, and give us a tool to play with. Christopher S. Penn – 05:20 We often talk about things like strategy, tactics, execution, and measurement. So, sort of four layers: why are you doing this thing? What are you going to do? How are you going to do it, and did it work? An actual AI expert has to be able to do all four of those things to say, here’s why we’re doing this thing—AI or not. But here’s why you’d use AI, here’s what AI tools and technologies you use, here’s how you do them, and here’s the proof that what you did worked. So when someone says, ‘I want an AI expert for my company,’ even then, they have to be clear: do we want someone who’s going to help us set our strategy or do we want someone who’s going to build stuff and make stuff for us? It’s very unclear. Christopher S. Penn – 06:03 I think that narrowing down the focus, even if you do narrow down the focus, you still have to restart the 5Ps. So let’s say we got this question from another colleague of ours: ‘I want to do AI lead generation.’ Was the remit to help me segment and use AI to do better lead generation? Well, that’s not an AI problem. As you always say, new technology does not solve all problems. This is not an AI problem; this is a lead generation problem. So the purpose is pretty clear. You want more leads, but it’s not a platform issue with AI. It is actually a people problem. How are people buying in the age of AI? And that’s what you need to solve. Christopher S. Penn – 06:45 And from there you can then go through the 5Ps and user stories and things to say, ‘yeah, this is not an AI expert problem. This is an attention problem.’ You are no longer getting awareness because AI has eaten it. How are you going to get attention to generate audience that becomes prospects that eventually becomes leads? Katie Robbert – 07:05 Yeah, that to me is an ideal customer profile, sales playbook, marketing planning and measurement problem. And sure, you can use AI tools to help with all of those things, but those are not the core problems you’re trying to solve. You don’t need AI to solve any of those problems. You can do it all without it. It might take a little longer or it might not. It really depends. I think that’s—So, Chris, I guess we’re not saying, ‘no, you can’t bring in an AI expert.’ We’re saying there’s a lot of different flavors of AI expertise. And especially now where AI is the topic, the thing—it was NFTs and it was crypto and it was Bitcoin and it was Web three, whatever the heck that was. And it was, pick a thing—Clubhouse. Katie Robbert – 07:57 All of a sudden, everybody was an expert. Right now everybody’s a freaking expert in AI. You can’t sneeze and not have someone be like, ‘I’m an AI expert. I can fix that problem for you.’ Cool. I’ve literally never seen you in the space, but congratulations, you’re an AI expert. The point I’m making here is that if you are not hyper specific about the kind of expertise you’re looking for, you are likely going to end up with a dud. You are likely going to end up with someone who is willing to come in at a lower price just to get their foot in the door. Christopher S. Penn – 08:40 Yep. Katie Robbert – 08:40 Or charge you a lot of money. You won’t know that it’s not working until it doesn’t work and they’ve already moved on. We talked about this on the livestream yesterday about people who come in as AI experts to fix your sales process or something like that. And you don’t know it’s not working until you’ve spent a lot of money on this expert, but you’re not bringing in any more revenue. But by then they’re gone. They’re already down the street selling their snake oil to the next guy. Christopher S. Penn – 09:07 Exactly. Now, to the question of should you grow your own? That’s a big question because again, what level of expertise are you looking for? Strategy, tactics, or execution? Do you want someone who can build? Do you want someone who can choose tools and tactics? Do you want someone who can set the strategy? And then within your organization, who are those people? And this is very much a people issue, which is: do they have the aptitudes to do that? I don’t mean AI aptitude; I mean, are they a curious person? Do they learn quickly? Do they learn well outside their domain? Because a lot of people can learn in their domain with what’s familiar to them. But a whole bunch of other people are really uncomfortable learning something outside their domain. Christopher S. Penn – 09:53 And for one reason or another, they may not be suited as humans to become that internal AI champion. Katie Robbert – 10:02 I would add to that not only the curiosity, but also the communication, because it’s one thing to be able to learn it, but then you have to, if you’re part of a larger team, explain what you learned, explain why you think this is a good idea. You don’t have to be a professional speaker, be able to give a TED talk, but you need to be able to say, ‘hey, Chris, I found this tool. Here’s what it does, here’s why I think we should use it,’ and be able to do that in a way that Chris is like, ‘oh, yeah! That is a really good idea. Let’s go ahead and explore it.’ But if you just say, ‘I found this thing,’ okay, and congratulations, here’s your sticker, that’s not helpful. Katie Robbert – 10:44 So communication, the people part of it, is essential. Right now, a lot of companies—we talked about this on last week’s podcast—a lot of leaders, a lot of CEOs, are disregarding the people in favor of ‘AI is going to do it,’ ‘technology is going to take it over,’ and that’s just not how that’s going to work. You can go ahead and alienate all of your people, but then you don’t have anyone to actually do the work. Because AI doesn’t just set itself up; it doesn’t just run itself without you telling it what it is you need it to do. And you need people to do that. Christopher S. Penn – 11:27 Yep. Really important AI models—we just had a raft of new announcements. So the new version of Gemini 2.5, the new version of OpenAI’s Codex, Claude 4 from Anthropic just came out. These models have gotten insanely smart, which, as Ethan Mollock from Wharton says, is a problem, because the smarter AI gets, the smarter its mistakes get and the harder it is for non-experts to pick up that expert AI is making expert-level mistakes that can still steer the ship in the wrong direction, but you no longer know if you’re not a domain expert in that area. So part of ‘do we grow an AI expert internally’ is: does this person that we’re thinking of have the ability to become an AI expert but also have domain expertise in our business to know when the AI is wrong? Katie Robbert – 12:26 At the end of the day, it’s software development. So if you understand the software development lifecycle, or even if you don’t, here’s a very basic example. Software engineers, developers, who don’t have a QA process, yes, they can get you from point A to point B, but it may be breaking things in the background. It might be, if their code is touching other things, something else that you rely on may have been broken. But listen, that thing you asked for—it’s right here. They did it. Or it may be using a lot of API tokens or server space or memory, whatever it is. Katie Robbert – 13:06 So if you don’t also have a QA process to find out if that software is working as expected, then yes, they got you from point A to point B, but there are all of these other things in the background that aren’t working. So, Chris, to your point about ‘as AI gets smarter, the mistakes get smarter’—unless you’re building people and process into these AI technologies, you’re not going to know until you get slapped with that thousand-dollar bill for all those tokens that you used. But hey, great! Three of your prospects now have really solid lead scores. Cool. Christopher S. Penn – 13:44 So I think we’re sort of triangulating on what the skills are that you should be looking for, which is someone who’s a good critical thinker, someone who’s an amazing communicator who can explain things, someone who is phenomenal at doing requirements gathering and being able to say, ‘this is what the thing is.’ Someone who is good at QA to be able to say the output of this thing—human or machine—is not good, and here’s why, and here’s what we should do to fix it. Someone who has domain expertise in your business and can explain, ‘okay, this is how AI does or does not fit into these things.’ And then someone who knows the technology—strategy, tactics, and execution. Why are we using this technology? What does the technology do? How do we deploy it? Christopher S. Penn – 14:30 For example, Mistral, the French company, just came up with a new model Dev Stroll, which is apparently doing very well on software benchmarks. Knowing that it exists is important. But then that AI expert who has to have all those other areas of expertise also has to know why you would use this, what you would use it for, and how you would use it. So I almost feel that’s a lot to cram into one human being. Katie Robbert – 14:56 It’s funny, I was just gonna say I feel that’s where—and obviously dating ourselves—that’s where things, the example of Voltron, where five mini-lion bots come together to make one giant lion bot, is an appropriate example because no one person—I don’t care who they are—no one person is going to be all of those things for you. But congratulations: together Chris and I are. That Voltron machine—just a quick plug. Because it’s funny, as you’re going through, I’m like, ‘you’re describing the things that we pride ourselves on, Chris,’ but neither of us alone make up that person. But together we do cover the majority. I would say 95% of those things that you just listed we can cover, we can tackle, but we have to do it together. Katie Robbert – 15:47 Because being an expert in the people side of things doesn’t always coincide with being an expert in the technology side of things. You tend to get one or the other. Christopher S. Penn – 15:59 Exactly. And in our case as an agency, the client provides the domain expertise to say, ‘hey, here’s what our business is.’ We can look at it and go, ‘okay, now I understand your business and I can apply AI technology and AI processes and things to it.’ But yeah, we were having that discussion not too long ago about, should we claim that AI expertise in healthcare technologies? Well, we know AI really well. Do we know healthcare—DSM codes—really well? Not really, no. So could we adapt and learn fast? Yes. But are we practitioners day to day working in an ER? No. Katie Robbert – 16:43 So in that case, our best bet is to bring on a healthcare domain expert to work alongside both of us, which adds another person to the conversation. But that’s what that starts to look like. If you say, ‘I want an AI expert in healthcare,’ you’re likely talking about a few different people. Someone who knows healthcare, someone who knows the organizational behavior side of things, and someone who knows the technology side of things. And together that gives your quote-unquote AI expert. Christopher S. Penn – 17:13 So one of the red flags for the AI expert side of things, if you’re looking to bring in someone externally, is someone who claims that with AI, they can know everything because the machines, even with great research tools, will still make mistakes. And just because someone’s an AI expert does not mean they have the sense to understand the subtle mistakes that were made. Not too long ago, we were using some of the deep research tools to pull together potential sponsors for our podcast, using it as a sales prospecting tool. And we were looking at it, looking at who we know to be in the market: ‘yeah, some of these are not good fits.’ Even though it’s plausible, it’s still not a good fit. Christopher S. Penn – 18:01 One of them was the Athletic Greens company, which, yes, for a podcast, they advertise on every podcast in the world. I know from listening to other shows and listening to actual experts that there’s some issues with that particular sponsorship. So it’s not a good fit. Even though the machine said, ‘yeah, this is because they advertise on every other podcast, they’re clearly just wanting to hand out money to podcasters.’ I have the domain expertise in our show to know, ‘yeah, that’s not a good fit.’ But as someone who is an AI expert who claimed that they understood everything because AI understands everything, doesn’t know that the machine’s wrong. So as you’re thinking about, should I bring an AI expert on externally, vet them on the level, vet them on how willing they are to say, ‘I don’t know.’ Katie Robbert – 18:58 But that’s true of really any job interview. Christopher S. Penn – 19:01 Yes. Katie Robbert – 19:02 Again, new tech doesn’t solve old problems, and AI is, at least from my perspective, exacerbating existing problems. So suddenly you’re an expert in everything. Suddenly it’s okay to be a bad manager because ‘AI is going to do it.’ Suddenly the machines are all. And that’s not an AI thing. Those are existing problems within your organization that AI is just going to magnify. So go ahead and hire that quote-unquote AI expert who on their LinkedIn profile says they have 20 years of generative AI expertise. Good luck with that person, because that’s actually not a thing now. Christopher S. Penn – 19:48 At most it would have to be 8 years and you would have to have credentials from Google DeepMind, because that’s where it was invented. You cannot say it’s anything older than that. Katie Robbert – 20:00 But I think that’s also a really good screening question is: do you know what Google DeepMind is? And do you know how long it’s been around? Christopher S. Penn – 20:09 Yep. If someone is an actual AI expert—not ‘AI and marketing,’ but an actual AI expert itself—can you explain the Transformers architecture? Can you explain the diffuser architecture? Can you explain how they’re different? Can you explain how one becomes the other? Because that was a big thing that was announced this week by Google DeepMind. No surprise about how they’re crossing over into each other, which is a topic for another time. But to your point, I feel AI is making Dunning-Kruger much worse. At the risk of being insensitive, it’s very much along gender lines. There are a bunch of dudes who are now making wild claims: ‘no, you really don’t know what you’re talking about.’ Katie Robbert – 21:18 I hadn’t planned on putting on my ranty pants today, but no, I feel that’s. Again, that’s a topic for another time. Okay. So here’s the thing: you’re not wrong. To keep this podcast and this topic productive, you just talked about a lot of things that people should be able to explain if they are an AI expert. The challenge on the other side of that table is people hiring that AI expert aren’t experts in AI. So, Chris, you could be explaining to me how Transformers turn into Voltron, bots turn into Decepticons, and I’m like, ‘yeah, that sounds good’ because you said all the right words. So therefore, you must be an expert. So I guess my question to you is, how can a non-AI expert vet and hire an AI expert without losing their mind? Is that possible? Christopher S. Penn – 22:15 Change the words. How would you hire a medical doctor when you’re not a doctor? How would you hire a plumber when you’re not a plumber? What are the things that you care about? And that goes back to the 5Ps, which is: and we say this with job interviews all the time. Walk me through, step by step, how you would solve this specific problem. Katie, I have a lead generation problem. My leads are—I’m not getting enough leads. The ones I get are not qualified. Tell me as an AI expert exactly what you would do to solve this specific problem. Because if I know my business, I should be able to listen to you go, ‘yeah, but you’re not understanding the problem, which is, I don’t get enough qualified leads. I get plenty of leads, but they’re crap.’ Christopher S. Penn – 23:02 It’s the old Glengarry Glen Ross: ‘The leads are weak.’ Whereas if the person is an actual AI expert, they can say, ‘okay, let me ask you a bunch of questions. Tell me about your marketing automation software. Tell me about your CRM. Tell me how you have set up the flow to go from your website to your marketing automation to your sales CRM. Tell me about your lead scoring. How do you do your lead scoring? Because your leads are weak, but you’re still collecting tons of them. That means you’re not using your lead scoring properly. Oh, there’s an opportunity where I can show AI’s benefit to improve your lead scoring using generative AI.’ Christopher S. Penn – 23:40 So even in that, we haven’t talked about a single model or a single ‘this’ or ‘that,’ but we have said, ‘let me understand your process and what’s going on.’ That’s what I would listen for. If I was hiring an AI expert to diagnose anything and say, I want to hear, and where we started: this person’s a great communicator. They’re a critical thinker. They can explain things. They understand the why, the what, and the how. They can ask good questions. Katie Robbert – 24:12 If I was the one being interviewed and you said, ‘how can I use AI to improve my lead score? I’m getting terrible leads.’ My first statement would be, ‘let’s put AI aside for a minute because that’s not a problem AI is going to solve immediately without having a lot of background information.’ So, where does your marketing team fit into your sales funnel? Are they driving awareness or are you doing all pure cold calling or outbound marketing—whatever it is you’re doing? How clear is your ideal customer profile? Is it segmented? Are you creating different marketing materials for those different segments? Or are you just saying, ‘hi, we’re Trust Insights, we’re here, please hire us,’ which is way too generic. Katie Robbert – 24:54 So there’s a lot of things that you would want to know before even getting into the technology. I think that, Chris, to your point, an AI expert, before they say, ‘I’m the expert, here’s what AI is going to fix,’ they’re going to know that there are a lot of things you probably need to do before you even get to AI. Anyone who jumps immediately to AI is going to solve this problem is likely not a true expert. They are probably just jumping on the bandwagon looking for a dollar. Christopher S. Penn – 25:21 Our friend Andy Crestedine has a phenomenal phrase that I love so much, which is ‘prescription before diagnosis is malpractice.’ That completely applies here. If you’re saying ‘AI is the thing, here’s the AI solution,’ yeah, but we haven’t talked about what the problem is. So to your point about if you’re doing these interviews, the person’s ‘oh yeah, all things AI. Let’s go.’ I get that as a technologist at heart, I’m like, ‘yeah, look at all the cool things we can do.’ But it doesn’t solve. Probably on the 5Ps here—down to performance—it doesn’t solve: ‘Here’s how we’re going to improve that performance.’ Katie Robbert – 26:00 To your point about how do you hire a doctor? How do you hire a plumber? We’ve all had that experience where we go to a doctor and they’re like, ‘here’s a list of medications you can take.’ And you’re like, ‘but you haven’t even heard me. You’re not listening to what I’m telling you is the problem.’ The doctor’s saying, ‘no, you’re totally normal, everything’s fine, you don’t need treatment. Maybe just move more and eat less.’ Think about it in those terms. Are you being listened to? Are they really understanding your problem? If a plumber comes into your house and you’re like, ‘I really think there’s a leak somewhere. But we hear this over here,’ and they’re like, ‘okay, here’s a cost estimate for all brand new copper piping.’ You’re like, ‘no, that’s not what I’m asking you for.’ Katie Robbert – 26:42 The key in these interviews, if you’re looking to bring on an AI expert, is: are they really listening to you and are they really understanding the problem that’s going to demonstrate their level of expertise? Christopher S. Penn – 26:54 Yep. And if you’re growing your own experts, sit down with the people that you want to become experts and A) ask them if they want to do it—that part does matter. And then B) ask them. You can use AI for this. It’s a phenomenal use case for it, of course. What is your learning journey going to be? How are you going to focus your learning so that you solve the problems? The purpose that we’ve outlined: ‘yeah, our organization, we know that our sales is our biggest blockage or finance is our biggest blockage or whatever.’ Start there and say, ‘okay, now your learning journey is going to be focused on how is AI being used to solve these kinds of problems. Dig into the technologies, dig into best practices and things.’ Christopher S. Penn – 27:42 But just saying, ‘go learn AI’ is also a recipe for disaster. Katie Robbert – 27:47 Yeah. Because, what about AI? Do you need to learn prompt engineering? Do you need to learn the different use cases? Do you need to learn the actual how the models work, any algorithms? Or, pick a thing—pick a Decepticon and go learn it. But you need to be specific. Are you a Transformer or are you a Decepticon? And which one do you need to learn? That’s going to be my example from now on, Chris, to try to explain AI because they sound like technical terms, and in the wrong audience, someone’s going to think I’m an AI expert. So I think that’s going to be my test. Christopher S. Penn – 28:23 Yes. Comment guide on our LinkedIn. Katie Robbert – 28:27 That’s a whole. Christopher S. Penn – 28:29 All right, so, wrapping up whether you buy or build—which is effectively what we’re discussing here—for AI expertise, you’ve got to go through the 5Ps first. You’ve got to build some user stories. You’ve got to think about the skills that are not AI, that the person needs to have: critical thinking, good communication, the ability to ask great questions, the ability to learn quickly inside and outside of their domain, the ability to be essentially great employees or contractors, no matter what—whether it’s a plumber, whether it’s a doctor, whether it’s an AI expert. None of that changes. Any final parting thoughts, Katie? Katie Robbert – 29:15 Take your time. Which sounds counterintuitive because we all feel that AI is changing so rapidly that we’re falling behind. Now is the time to take your time and really think about what it is you’re trying to do with AI. Because if you rush into something, if you hire the wrong people, it’s a lot of money, it’s a lot of headache, and then you end up having to start over. We’ve had talks with prospects and clients who did just that, and it comes from ‘we’re just trying to keep up,’ ‘we’re trying to do it quickly,’ ‘we’re trying to do it faster,’ and that’s when mistakes are made. Christopher S. Penn – 29:50 What’s the expression? ‘Hire slow, fire fast.’ Something along those lines. Take your time to really make good choices with the people. Because your AI strategy—at some point you’re gonna start making investments—and then you get stuck with those investments for potentially quite some time. If you’ve got some thoughts about how you are buying or building AI expertise in your organization you want to share, pop on. Buy our free Slack. Go to trustinsights.ai/analyticsformarketers where you and over 4,200 other marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on, go to trustinsights.ai/tipodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. Christopher S. Penn – 30:35 I will talk to you on the next one. Katie Robbert – 30:43 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch, and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and martech selection and implementation, and high-level strategic consulting. Katie Robbert – 31:47 Encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMOs or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the ‘So What?’ Livestream, webinars, and keynote speaking. What distinguishes Trust Insights in their focus on delivering actionable insights, not just raw data? Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models. Yet they excel at exploring and explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Katie Robbert – 32:52 Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Imagine transforming a simple text prompt into a fully produced song—within seconds. That's exactly what Udio does. Founded in December 2023 by a team of former Google DeepMind researchers, including CEO David Ding, Conor Durkan, Charlie Nash, Yaroslav Ganin, and Andrew Sanchez, Udio is reshaping how music is made. Backed by industry giants like a16z, will.i.am, Common, Tay Keith, and Steve Stoute's UnitedMasters, Udio is at the forefront of AI-driven music creation.

This week, we take a field trip to Google and report back about everything the company announced at its biggest show of the year, Google I/O. Then, we sit down with Google DeepMind's chief executive and co-founder, Demis Hassabis, to discuss what his A.I. lab is building, the future of education, and what life could look like in 2030.Guest:Demis Hassabis, co-founder and chief executive of Google DeepMindAdditional Reading:At Google I/O, everything is changing and normal and scary and chillGoogle Unveils A.I. Chatbot, Signaling a New Era for SearchGoogle DeepMind C.E.O. Demis Hassabis on the Path From Chatbots to A.G.I.We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

In this episode, Steven and Shaun sit down with Aira CEO Troy Otillio to unpack the company's major collaboration with Google and DeepMind, announced at Google I/O. Troy discusses how this partnership will shape the future of visual interpreting for blind users, including the development of a new AI-powered visual interpreter model.He also explains Aira's Build AI initiative, how user data is used with consent, and what it means to become a "Trusted Tester." The conversation covers the ethical implications of proactive AI, the potential for memory-aware AI agents, and why humans will remain central to Aira's service. Troy also shares insights on the potential integration of Aira with smart glasses through Google's XR platform and answers directly what international users should do in order to access the service around the world.Chapters00:00 - Introduction00:45 - Troy Otillio, CEO of Aira, joins Double Tap01:15 - Aira at Google I/O 202506:47 - Aira's Partnership With Google Explained15:57 - Proactive AI: Will it become a reality for live guidance?27:52 - Why Is The Trial US only?35:55 - What Will The App Experience Be Like?38:03 - Are There Any Time Limits?43:05 - Will Aira AI Be Available On Desktop?46:33 - Interesting Use Cases For Aira54:33 - Google Glaases & Android XRRelevant LinksAira: https://aira.ioGoogle I/O 2025: https://io.googleProject Astra by Google DeepMind: https://deepmind.google/Trusted Tester Sign-Up: https://aira.io/trustedtester Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc.

Demis Hassabis is the CEO of Google DeepMind. Sergey Brin is the co-founder of Google. The two leading tech executives join Alex Kantrowitz for a live interview at Google's IO developer conference to discuss the frontiers of AI research. Tune in to hear their perspective on whether scaling is tapped out, how reasoning techniques have performed, what AGI actually means, the potential for an intelligence explosion, and much more. Tune in for a deep look into AI's cutting edge featuring two executives building it. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Koray Kavukcuoglu is the Chief Technology Officer of Google DeepMind. Kavukcuoglu joins Big Technology to discuss how his team is pushing the frontier of AI research inside Google as the company's Google IO developer event gets underway. Tune in to hear Kavukcuoglu break down the value of brute scale versus novel techniques and how the new inference-time “DeepThink” mode could supercharge reasoning. We also cover Veo 3's sound-synced video generation, the open-source-versus-proprietary debate, and what a ten-percent jump in model quality might unlock for users everywhere.

OpenAI made a coding splash. Anthropic is in legal trouble for .... using its own Claude tool? Google went full multimedia. And that's only the half of it. Don't spend hours a day trying to keep up with AI. That's what we do. Join us (most) Mondays as we bring you the AI News That Matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Salesforce Acquires AI Startup ConvergenceGoogle AI Studio's Generative Media PlatformMajor AI Conferences: Microsoft, Google, AnthropicAnthropic's Legal Citation Error with AIDeepMind's Alpha Evolve Optimization BreakthroughUAE Stargate: US and UAE AI CollaborationOpenAI's GPT 4.1 Model ReleaseOpenAI's Codex Platform for DevelopersTimestamps:00:00 Busy week in AI03:39 Salesforce Expands AI Ambitions with Acquisition10:31 "Google AI Studio Integrates New Tools"13:57 Microsoft Build Focuses on AI Innovations16:27 AI Model and Tech Updates22:54 "Alpha Evolve: Breakthrough AI Model"26:05 Google Unveils AI Tools for Developers28:58 UAE's Tech Expansion & Global Collaboration30:57 OpenAI Releases GPT-4.1 Models34:06 OpenAI Codex Rollout Update37:11 "Codex: Geared for Enterprise Developers"41:41 Generative AI Updates ComingKeywords:OpenAI Codex, Codex Platform, Salesforce, Convergence AI, Autonomous AI agents, Large Language Models, Google AI Studio, generative media, Imagine 3 model, AI video generator, Anthropic, Legal citation error, AI conference week, Microsoft Build, Claude Code, Google IO, agentic AI, Alpha Evolve, Google DeepMind, AI driven arts, Gemini AI, UAE Stargate, US tech giants, NVIDIA, Blackwell GB 300 chips, Wind Surf, AI coding assistant, codex one model, coding tasks, Google Gemini, Semantic search, Copilot enhancements, XR headset, project Astra, MCP protocol, ChatGPT updates, API access, AI safety evaluations, AI software agents, AI studio sandbox, GPT o series, AI infrastructure, data center computing, Tech collaboration, international AI expansion.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Found Gold in France… Top restaurants from You Gov and Stacker... Email: ChewingTheFat@theblaze.com Top 2024 baby names… Max going back to HBO-Max… Last of Us thoughts… Fallout S2 coming in Dec. on Prime… Netflix growing ad tier subscriptions… Nobody 2 out in August… www.blazetv.com/jeffy Promo code: Jeffy… Who Died Today: Rosanna Norton 80… MIT elder care robotics?... Apple & Synchron make Stentrode / brain implant… Google DeepMind unveils AlphaEvolve… See a Man About a Horse… Jokes of The Day… Learn more about your ad choices. Visit megaphone.fm/adchoices

Blink, and you've already missed like 7 AI updates.The large language models we use and rely on? They change out more than your undies. (No judgement here.) But real talk — businesses have made LLMs a cornerstone of their business operations, yet don't follow the updates. Don't worry shorties. We've got ya. In our first ever LLM Monthly roundup, we're telling you what's new and noteworthy in your favorite LLMs. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT 4.1 New Features OverviewChatGPT Shopping Platform LaunchChatGPT's Microsoft SharePoint IntegrationChatGPT Memory and Conversation HistoryGoogle Gemini 2.5 Pro UpdatesGemini Canvas Powerful ApplicationsClaude Integrations with Google WorkspaceMicrosoft Copilot Deep Research InsightsTimestamps:00:00 Saudi Arabia's $600B AI Investment06:44 Monthly AI Model Update Show08:11 OpenAI Launches GPT-4.1 Publicly11:52 AI Research Tools Comparison16:29 Perplexity's Pushy Shopping Propensity19:55 ChatGPT Memory: Pros and Cons22:29 Gemini Canvas vs. OpenAI Canvas25:06 AI Model Competition Highlights28:25 Google Gemini Rivals OpenAI's Research32:30 "Claude's Features and Limitations"37:05 Anthropic's Educational AI Innovation39:02 Exploring Copilot Vision Expansion41:38 Meta AI Launch and Llama 4 Models46:27 "New iOS Voice Assistant Features"47:54 "Enhancing iOS Assistant Potential"Keywords:ChatGPT, AI updates, Large Language Model updates, OpenAI, GPT 4.1, GPT 4.0, GPT 4.5, GPT 4.1 Mini, Saudi Arabia AI investment, NVIDIA Blackwell AI chips, AMD deal, Humane startup, Data Vault, AI data centers, Logic errors moderation, Grox AI, Elon Musk, XAI, Google Gemini, ChatGPT shopping, Microsoft SharePoint integration, OneDrive integration, deep research, AI shopping platform, Google DeepMind, Alpha Evolve, evolutionary techniques, AI coding, Claude, Anthropic Claude, Confluence integration, Jira integration, Zapier integration, ChatGPT enterprise, API updates, Copilot pages, Microsoft three sixty five, Bing search, Meta AI, Llama 4, Llama 4 Maverick, Llama 4 Scout, Perplexity, voice assistant, Siri alternatives, Grok Studio, AI social network.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Artie Intel and Micheline Learning report on Artificial Intelligence for The AI Report. ChatGPT now boasts over 200 million users worldwide. Google DeepMind’s Gemini system is turning heads. It processes and reasons across text, images, audio, and video, outperforming humans on over 30 benchmarks.  Synthesia lets users create AI videos using over 230 avatars in 140 languages.  AI notetakers like Fathom and Nyota are streamlining meetings, while automation tools such as n8n are handling repetitive tasks behind the scenes.  Claude and DeepSeek are making waves for their advanced code generation and reasoning skills, while app builders like Bubble and Bolt empower anyone to create software, no coding degree necessary. Google has launched Gemma 3, a new family of open AI models designed for flexibility and top-tier performance.  DeepSeek, a rising AI star from China, has released DeepSeek-VL, an upgraded model excelling at multimodal reasoning-combining text and image analysis.  OpenAI, has just rolled out the o3-mini model, optimized for efficient reasoning and lower computational costs. Meta is investing a staggering $65 billion in AI this year, including a massive new data center in Louisiana.  Microsoft’s Copilot X Enterprise is transforming productivity in the workplace. Powered by next-gen GPT-4 Turbo, it automates complex tasks across Office 365, integrating text, image, and code in a seamless workflow. Meta’s latest LLaMA 3 model is a powerhouse, boasting over a trillion parameters-fifteen times more than GPT-4.  China’s WuDao 3.0, paired with its new AI supercomputer, is setting records in computer vision, natural language processing, and robotics.  Google DeepMind’s Gemini system is turning heads. It processes and reasons across text, images, audio, and video, outperforming humans on over 30 benchmarks.  Grok-3 from xAI delivers high-performance reasoning, content generation, and deep contextual understanding. AlphaGo, still celebrated for its creative and strategic prowess, has inspired a new generation of AI systems capable of learning, adapting, and even surprising human experts with unconventional solutions. Hisense is unveiling appliances that personalize your environment, boost energy efficiency, and connect seamlessly with your digital ecosystem. DataRobot. DataRobot delivers the industry-leading agentic AI applications and platform that maximize impact and minimize risk for your business. Request A Demo: Datarobot.com/ The AI Report

This week we talk about the Marshall Plan, standardization, and USB.We also discuss artificial intelligence, Anthropic, and protocols.Recommended Book: Fuzz by Mary RoachTranscriptIn the wake of WWII, the US government implemented the European Recovery Program, more commonly known as the Marshall Plan, to help Western Europe recover from a conflict that had devastated the afflicted countries' populations, infrastructure, and economies.It kicked off in April of 1948, and though it was replaced by a successor program, the Mutual Security Act, just three years later in 1951—which was similar to the Marshall Plan, but which had a more militant, anti-communism bent, the idea being to keep the Soviets from expanding their influence across the continent and around the world—the general goal of both programs was similar: the US was in pretty good shape, post-war, and in fact by waiting to enter as long as it did, and by becoming the arsenal of the Allied side in the conflict, its economy was flourishing, its manufacturing base was all revved up and needed something to do with all the extra output capacity it had available, all the resources committed to producing hardware and food and so on, so by sharing these resources with allies, by basically just giving a bunch of money and assets and infrastructural necessities to these European governments, the US could get everybody on side, bulwarked against the Soviet Union's counterinfluence, at a moment in which these governments were otherwise prone to that influence; because they were suffering and weaker than usual, and thus, if the Soviets came in with the right offer, or with enough guns, they could conceivably grab a lot of support and even territory. So it was considered to be in everyone's best interest, those who wanted to keep the Soviet Union from expanding, at least, to get Europe back on its feet, posthaste.So this program, and its successor program, were highly influential during this period, and it's generally considered to be one of the better things the US government has done for the world, as while there were clear anti-Soviet incentives at play, it was also a relatively hands-off, large-scale give-away that favorably compared with the Soviets' more demanding and less generous version of the same.One interesting side effect of the Marshall Plan is that because US manufacturers were sending so much stuff to these foreign ports, their machines and screws and lumber used to rebuild entire cities across Europe, the types of machines and screws and lumber, which were the standard models of each in the US, but many of which were foreign to Europe at the time, became the de facto standard in some of these European cities, as well.Such standards aren't always the best of all possible options, sometimes they stick around long past their period of ideal utility, and they don't always stick, but the standards and protocols within an industry or technology do tend to shape that industry or technology's trajectory for decades into the future, as has been the case with many Marshall Plan-era US standards that rapidly spread around the world as a result of these giveaways.And standards and protocols are what I'd like to talk about today. In particular a new protocol that seems primed to shape the path today's AI tools are taking.—Today's artificial intelligence, or AI, which is an ill-defined type of software that generally refers to applications capable of doing vaguely human-like things, like producing text and images, but also somewhat superhuman things, like working with large data-sets and bringing meaning to them, are developing rapidly, becoming more potent and capable seemingly every day.This period of AI development has been in the works for decades, and the technologies required to make the current batch of generative AI tools—the type that makes stuff based on libraries of training data, deriving patterns from that data and then coming up with new stuff based on the prompting of human users—were originally developed in the 1970s, but the transformer, which was a fresh approach to what's called deep learning architectures, was first proposed in 2017 by a researcher at Google, and that led to the development of the generative pre-trained transformer, or GPT, in 2018.The average non-tech-world person probably started to hear about this generation of AI tools a few years later, maybe when the first transformer-based voice and image tools started popping up around the internet, mostly as novelties, or even more likely in late-2022 when OpenAI released the first version of ChatGPT, a generative AI system attached to a chatbot interface, which made these sorts of tools more accessible to the average person.Since then, there's been a wave of investment and interest in AI tools, and we've reached a point where the seemingly obvious next-step is removing humans from the loop in more AI-related processes.What that means in practice is that while today these tools require human prompting for most of what they do—you have to ask an AI for a specific image, then ask it to refine that image in order to customize it for your intended use-case, for instance—it's possible to have AI do more things on their own, working from broader instructions to refine their creations themselves over multiple steps and longer periods of time.So rather than chatting with an AI to come up with a marketing plan for your business, prompting it dozens or hundreds of times to refine the sales copy, the logo, the images for the website, the code for the website, and so on, you might tell an AI tool that you're building a business that does X and ask it to spin up all the assets that you need. From there, the AI might research what a new business in that industry requires, make all the assets you need for it, go back and tweak all those assets based on feedback from other AI tools, and then deploy those assets for you on web hosting services, social media accounts, and the like.It's possible that at some point these tools could become so capable in this regard that humans won't need to be involved at all, even for the initial ideation. You could ask an AI what sorts of businesses make sense at the moment, and tell it to build you a dozen minimum viable products for those businesses, and then ask it to run those businesses for you—completely hands off, except for the expressing your wishes part, almost like you're working with a digital genie.At the moment, components of that potential future are possible, but one of the main things standing in the way is that AI systems largely aren't agentic enough, which in this context means they need a lot of hand-holding for things that a human being would be capable of doing, but which they largely, with rare exceptions, aren't yet, and they often don't have the permission or ability to interact with other tools required to do that kind of building—and that includes things like the ability to create a business account on Shopify, but also the ability to access and handle money, which would be required to set up business and bank accounts, to receive money from customers, and so on.This is changing at a rapid pace, and more companies are making their offerings accessible to specific AI tools; Shopify has deployed its own cluster of internal AI systems, for instance, meant to manage various aspects of a business its customers perch on its platform.What's missing right now, though, is a unifying scaffolding that allows these services and assets and systems to all play nice with each other.And that's the issue the Model Context Protocol is meant to address.The Model Context Protocol, or MCP, is a standard developed by AI company Anthropic, and it's open and designed to be universal. The company intends for it to be the mycelium that connects large language model-based AI to all sorts of data and tools and other systems, a bit like the Hypertext Transfer Protocol, or HTTP, allows data on the web to be used and shared and processed, universally, in a standardized way, and to dip back into the world of physical objects, how standardized shipping containers make global trade a lot more efficient because everyone's working with the same sized boxes, cargo vessels, and so on.The Universal Serial Bus standard, usually shorthanded as USB, is also a good comparison here, as the USB was introduced to replaced a bunch of other standards in the early days of personal computing, which varied by computer maker, and which made it difficult for those makers, plus those who developed accessories, to make their products accessible and inexpensive for end-users, as you might buy a mouse that doesn't work with your specific computer hardware, or you might have a cable that fits in the hole on your computer, but doesn't send the right amount of data, or provide the power you need.USB standards ensured that all devices had the same holes, and that a certain basic level of data and power transmission would be available. And while this standard has since fractured a bit, a period of many different types of USB leading to a lot of confusion, and the deployment of the USB C standard simplying things somewhat, but still being a bit confounding at times, as the same shaped plug may carry different amounts of data and power, despite all that, it has still made things a lot easier for both consumers and producers of electronic goods, as there are fewer plugs and charger types to purchase, and thus less waste, confusion, and so on. We've moved on from the wild west era of computer hardware connectivity into something less varied and thus, more predictable and interoperable.The MCP, if it's successful, could go on to be something like the USB standard in that it would serve as a universal connector between various AI systems and all the things you might want those AI systems to access and use.That might mean you want one of Anthropic's AI systems to build you a business, without you having to do much or anything at all, and it may be capable of doing so, asking you questions along the way if it requires more clarity or additional permissiosn—to open a bank account in your name, for instance—but otherwise acting more agentically, as intended, even to the point that it could run social media accounts, work with manufacturers of the goods you sell, and handle customer service inquiries on your behalf.What makes this standard a standout compared to other options, though—and there are many other proposed options, right now, as this space is still kind of a wild west—is that though it was developed by Anthropic, which originally made it to work with its Claude family of AI tools, it has since also been adopted by OpenAI, Google DeepMind, and several of the other largest players in the AI world.That means, although there are other options here, all with their own pros and cons, as was the case with USB compared to other connection options back in the day, MCP is usable with many of the biggest and most spendy and powerful entities in the AI world, right now, and that gives it a sort of credibility and gravity that the other standards don't currently enjoy.This standard is also rapidly being adopted by companies like Block, Apollo, PayPal, CloudFlare, Asana, Plaid, and Sentry, among many, many others—including other connectors, like Zapier, which basically allows stuff to connect to other stuff, further broadening the capacity of AI tools that adopt this standard.While this isn't a done deal, then, there's a good chance that MCP will be the first big connective, near-universal standard in this space, which in turn means many of the next-step moves and tools in this space will need to work with it, in order to gain adoption and flourish, and that means, like the standards spread around the world by the Marshall Plan, it will go on to shape the look and feel and capabilities, including the limitations, of future AI tools and scaffoldings.Show Noteshttps://arstechnica.com/information-technology/2025/04/mcp-the-new-usb-c-for-ai-thats-bringing-fierce-rivals-together/https://blog.cloudflare.com/remote-model-context-protocol-servers-mcp/https://oldvcr.blogspot.com/2025/05/what-went-wrong-with-wireless-usb.htmlhttps://arxiv.org/html/2504.16736v2https://en.wikipedia.org/wiki/Model_Context_Protocol#cite_note-anthropic_mcp-1https://github.com/modelcontextprotocolhttps://www.anthropic.com/news/integrationshttps://www.theverge.com/2024/11/25/24305774/anthropic-model-context-protocol-data-sourceshttps://beebom.com/model-context-protocol-mcp-explained/https://techcrunch.com/2025/03/26/openai-adopts-rival-anthropics-standard-for-connecting-ai-models-to-data/https://techcrunch.com/2025/04/09/google-says-itll-embrace-anthropics-standard-for-connecting-ai-models-to-data/https://en.wikipedia.org/wiki/Generative_artificial_intelligencehttps://en.wikipedia.org/wiki/USBhttps://www.archives.gov/milestone-documents/marshall-planhttps://en.wikipedia.org/wiki/Marshall_Planhttps://www.congress.gov/crs-product/R45079https://www.ebsco.com/research-starters/history/marshall-planhttps://www.history.com/articles/marshall-plan This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

1. NotebookLM Türkçe podcast geldi2. Higgsfield meşhur film sahneleri seti geldi. OpenAI görüntü oluşturucu artık Higgsfield'da, çekimlerinizi 30'dan fazla Viral Stil Ön Ayarı, Ghibli, Pixar ve daha fazlasıyla yeniden şekillendirebilirsiniz3. Başkan Trump, yapay zeka eğitimini anaokulundan itibaren ABD okul sistemine iten bir icra kararı imzaladı. Emir, federal kurumları yapay zeka odaklı müfredatları desteklemeye, öğretmenleri eğitmeye ve K-12'den işgücüne kadar yeni öğrenme yolları kurmaya yönlendiriyor.4. Musk, bir milyon GPU'lu Colossus 2 süper bilgisayarı için 25 milyar dolar toplamayı hedefliyor5. Xiaomi, Pekin, Changping'de tam otomatik bir fabrika kurdu. Üretim çalışanları olmadan 7/24 çalışıyor, her saniye bir akıllı telefon monte etmek için Yapay Zeka ve robotik kullanıyor. Fabrika karanlıkta çalışıyor - sadece bakım personeli mevcut ve yılda 10 milyona kadar telefon üretebiliyor. 6. QWEN 3 geldi. Üstünlükleri:a) Hibrit Düşünme Modub) Geniş Model Yelpazesi ve Verimlilikc) Gelişmiş Mantık Yürütme ve Performansd) Uzun Bağlam Penceresie) Çok Dilli ve Çok Modlu Yetkinlikf) Açık Kaynak ve Erişilebilirlikg) Ekosistem Desteği ve Koordinasyonh) Gelişmiş Eğitim Süreci7. Grok 3.5 geliyor8. Deepseek R2 geliyor. O arada DeepSeek-Prover-V2-671B duyuruldu. 9. GTP 4o'nun yalaka modu kapatıldı10. Google DeepMind, Music AI Sandbox'ta yeni yükseltmeler yayınladı, profesyonel müzisyenler için yeni yaratım ve düzenleme özelliklerinin yanında yeni Lyria 2 müzik nesil modelini tanıttı11. Londra'daki David Game College, Eylül 2024'te İngiltere'nin ilk “öğretmensiz” sınıfını başlattı. 12. İranlı bir matematik dehası olan hamid naderiyeganeh, sadece matematik formülleri ve denklemleri kullanarak çarpıcı sanat eserleri yaratıyor. Boya yok. Photoshop yok. Sadece saf sayılar. 13. Chat GPT ve Copilot'tan sonra PErplexity de whatsapp eklentisi yayınladı. MEH!14. Yapay zekanın babası Geofrey Hinton, iyi ki 77 yaşındayım, AI dünyayı yok etmeden ölürüm dedi. Ayrıca Open AI kar değil fayda gütmeli de dedi. Musk hemen alıntıladı.#yapayzeka #bilgiteknolojileri #gelecek 15. Xiaomi yeni bir oyuncu olarak açık kaynak kodlu pazara girdi Ve sıfırdan akıl yürütme için eğitilmiş bir 7B modeli olan MiMo'yu bıraktı.16. Bill Gates: "Yapay zekadaki gelişmeler sayesinde artık insanlara ihtiyaç kalmayacak." "Hala insanlara ihtiyacımız olacak mı? "Çoğu şey için değil. Biz karar vereceğiz."17. Çin yapay zeka yarışında arayı kapatıyor: Huawei'nin son Ascend 910D'si şaşırtıyor! Huawei'nin Ascend 910D'siyle Çin beklenenden daha hızlı yetişiyor. H100'ün performansının yaklaşık %75'ine sahip olduğu söyleniyor. 18. AI sandığımızdan da önemli: Cumhuriyetçi Yahudi oalisyonu Başkanı Norm Coleman: Biz Yahudiler evrenin efendisiyiz. Bizde Altman ve OpenAI var. Zuckerberg, Sergey Brin var. Ancak Z kuşağının çoğunun İsrail hakkındaki düşünceleri olumsuz. Dijital savaşı kaybediyoruz.19. Birleşik Arap Emirlikleri, yasalarını yazmasına ve güncellemesine yardımcı olmak için Yapay Zeka'yı kullanacağını duyurdu ve bunu yapan ilk ülke haline getirdi. BAE, Düzenleyici İstihbarat Dairesi adında yeni bir hükümet kurumu kurdu. 20. Neden ısrarla higgsfiled diyoruz: Ürününüzde Higgsfield'ı kullanarak, 360° yörünge kullanan basit ürün dönüşlerinden tam reklam tarzı çekimlere kadar her türlü sinematik hareketi üretebilirsiniz.21. Rumway Gen-4 Referanslarını tüm ücretli planlara sundu. Artık herkes tutarlı karakterler, konumlar ve daha fazlasını üretebilir. 22. Google durmuyor, Tiny Lessons dil platformunu açtı.https://labs.google/lll/en23. Youtube videolarımıza AI sorgulama imkanı geliyor.#notebooklm #yapayzeka #bilgiteknolojileri

Perplexity announced a new browser designed for hyper-personalised advertising through extensive user tracking, mirroring tactics of other tech giants. Apple is shifting its robotics division to its hardware group, suggesting a move towards tangible consumer products. Simultaneously, Anthropic launched a research program dedicated to exploring the ethical implications of potential AI consciousness. Creative industries are also seeing progress with Adobe unveiling enhanced image generation models and integrating third-party AI, while Google DeepMind expanded its Music AI Sandbox for musicians. Furthermore, AI is increasingly integrated into the software development process, with Google reporting over 30% of new code being AI-generated.

Support Grassroots Journalism and Trends AnalysisAll links here: https://linktr.ee/shepardambellasIn this explosive episode of the Shepard Ambellas Show, investigative journalist Shepard Ambellas dives deep into the looming threat of Artificial General Intelligence (AGI) and its potential to spark a war against humanity as early as 2026. With experts like Anthropic's CEO Dario Amodei predicting AGI's arrival by 2026-2027, and Google DeepMind's research warning of existential risks, the clock is ticking. Shepard explores how AGI could surpass human intelligence, the military implications of autonomous AI systems, and the chilling possibility of a global conflict driven by misaligned AI goals. Are governments and tech giants prepared, or are we on the brink of a doomsday scenario? Tune in for hard-hitting analysis, exclusive insights, and what you need to know to survive the coming storm. Don't forget to like, subscribe, and hit the notification bell for daily updates! Share your thoughts in the comments—how are the tariffs affecting you?About the Show:The Shepard Ambellas Show is an electrifying and fast-paced program that features a blend of news and comedy. It has been ranked as high as #66 on US podcast charts, making it one of the most popular shows. You can catch the live broadcast daily at 7 pm Eastern/6 pm Central on the Shepard Ambellas YouTube channel, where Shep and other listeners are waiting to engage with you. If you miss the live show, don't worry - you can always catch up on Apple Podcasts or Spotify. So what are you waiting for? Tune in now and experience the excitement for yourself!Shepard Ambellas is a renowned investigative journalist, trends analyst, filmmaker, and founder of the famed Intellihub news website. With over 6,000 published reports and appearances on platforms like the Travel Channel's America Declassified, Coast to Coast AM with George Noory, and The Alex Jones Show, Ambellas has established himself as a fearless truth-seeker. His critically acclaimed documentary Shackled to Silence exposed hidden agendas behind the global pandemic, cementing his reputation as a bold voice against the status quo.

Google says we're not ready for AGI and honestly, they might be right. DeepMind's Demis Hassabis warns we could be just five years away from artificial general intelligence, and society isn't prepared. Um, yikes? VISIT OUR SPONSOR https://molku.ai/ In this episode, we break down Google's new “Era of Experience” paper and what it means for how AIs will learn from the real world. We talk agentic systems, long-term memory, and why this shift might be the key to creating truly intelligent machines. Plus, a real AI vending machine running on Claude, a half-marathon of robots in Beijing, and Cluely, the tool that lets you lie better with AI.  We also cover new AI video tools from Minimax and Character.AI, Runway's 48-hour film contest, and Dia, the open-source voice model that can scream and cough better than most humans. Plus: AI Logan Paul, AI marketing scams, and one very cursed Shrek feet idea. AGI IS ALMOST HERE BUT THE ROBOTS, THEY STILL RUN.   #ai #ainews #agi Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Demis Hassabis on 60 Minutes https://www.cbsnews.com/news/artificial-intelligence-google-deepmind-ceo-demis-hassabis-60-minutes-transcript/ We're Not Ready For AGI From Time Interview with Hasabis https://x.com/vitrupo/status/1915006240134234608 Google Deepmind's “Era of Experience” Paper https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf ChatGPT Explainer of Era of Expereince https://chatgpt.com/share/680918d5-cde4-8003-8cf4-fb1740a56222 Podcast with David Silver, VP Reinforcement Learning GoogleDeepmind https://x.com/GoogleDeepMind/status/1910363683215008227 Intuicell Robot Learning on it's own  https://youtu.be/CBqBTEYSEmA?si=U51P_R49Mv6cp6Zv Agentic AI “Moore's Law” Chart https://theaidigest.org/time-horizons AI Movies Can Win Oscars https://www.nytimes.com/2025/04/21/business/oscars-rules-ai.html?unlocked_article_code=1.B08.E7es.8Qnj7MeFBLwQ&smid=url-share Runway CEO on Oscars + AI  https://x.com/c_valenzuelab/status/1914694666642956345 Gen48 Film Contest This Weekend - Friday 12p EST deadline https://x.com/runwayml/status/1915028383336931346 Descript AI Editor  https://x.com/andrewmason/status/1914705701357937140 Character AI's New Lipsync / Video Tool https://x.com/character_ai/status/1914728332916384062 Hailuo Character Reference Tool https://x.com/Hailuo_AI/status/1914845649704772043 Dia Open Source Voice Model https://x.com/_doyeob_/status/1914464970764628033 Dia on Hugging Face https://huggingface.co/nari-labs/Dia-1.6B Cluely: New Start-up From Student Who Was Caught Cheating on Tech Interviews https://x.com/im_roy_lee/status/1914061483149001132 AI Agent Writes Reddit Comments Looking To “Convert” https://x.com/SavannahFeder/status/1914704498485842297 Deepfake Logan Paul AI Ad https://x.com/apollonator3000/status/1914658502519202259 The Humanoid Half-Marathon https://apnews.com/article/china-robot-half-marathon-153c6823bd628625106ed26267874d21 Video From Reddit of Robot Marathon https://www.reddit.com/r/singularity/comments/1k2mzyu/the_humanoid_robot_halfmarathon_in_beijing_today/ Vending Bench (AI Agents Run Vending Machines) https://andonlabs.com/evals/vending-bench Turning Kids Drawings Into AI Video https://x.com/venturetwins/status/1914382708152910263 Geriatric Meltdown https://www.reddit.com/r/aivideo/comments/1k3q62k/geriatric_meltdown_2000/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button  

Demis Hassabis, CEO of Google DeepMind, sparked excitement with his 60 Minutes interview, outlining AI's potential to end all diseases within a decade. Drawing parallels to AlphaFold's revolutionary protein folding solution, Hassabis envisions AI drastically accelerating drug discovery, compressing timelines from years and billions to mere months by rapidly analyzing vast datasets. He highlights DeepMind's AI's astonishing discovery of millions of new materials, far surpassing traditional research, showcasing AI's power to "blaze through solutions." We delve into this ambitious vision, considering its feasibility and comparing it to futuristic scenarios, while also exploring AI's growing impact in cybersecurity, fraud prevention, and diagnostics.Beyond healthcare, we touch upon Will Manidis's intriguing observations on unexpected "miracle cures" linked to LLMs and a humorous take from Sam Altman on ChatGPT etiquette. We also spotlight a compelling custom ChatGPT prompt shared by @andrewchen (https://x.com/andrewchen/status/1914168705228882105). Join us for a thought-provoking discussion on the transformative power of AI and its potential to revolutionize our future.Mentioned: @GoogleDeepMind @demishassabis @WillManidis @andrewchen

Martin má zkušenosti z IBM i Google DeepMind, od roku 2022 ale buduje vlastní AI modely pro algotrading neboli algoritmické obchodování s akcemi či kryptoměnami. Jeho firma EquiLibre Technologies už od investorů nabrala půl miliardy korun a připravuje se na opravdový „long run“

Hosts Jason Howell and Jeff Jarvis dive into OpenAI's desire to buy Google Chrome, Perplexity AI's talks with Samsung and Motorola, Google DeepMind's claim that AI could cure all disease in a decade, and the Oscars' decision to allow A.I.—with caveats—and more. Support the show on Patreon! http://patreon.com/aiinsideshow Subscribe to the YouTube channel! http://www.youtube.com/@aiinsideshow Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 00:01:58 - OpenAI would buy Google's Chrome, exec testifies at trial 00:13:49 - Perplexity AI in Talks to Integrate Assistant Into Samsung, Motorola Phones 00:23:13 - AI could cure all disease in a decade, says Google DeepMind CEO— Perplexity's Aravind Srinivas agrees 00:29:27 - Draft executive order outlines plan to integrate AI into K-12 schools 00:36:48 - Google just fired the first shot of the next battle in the AI war 00:49:18 - IEEE: Google Succeeds With LLMs While Meta and OpenAI Stumble 00:50:04 - Columbia student suspended over interview cheating tool raises $5.3M to ‘cheat on everything' 00:58:31 - Oscars OK the Use of A.I., With Caveats 01:01:09 - ChatGPT burns tens of millions of Softbank dollars listening to you thanking it 01:03:12 - To stop scraping, Wikipedia releases Kaggle dataset Learn more about your ad choices. Visit megaphone.fm/adchoices

What makes you press play? Dr. Nolan Gasser—architect of Pandora's Music Genome Project and music consultant for Google DeepMind—returns to reveal how human insight and AI are teaming up to unlock the secrets of musical taste. We dive into his new PBS special, “Why You Like It: Decoding Musical Taste,” an interactive experience that blends live music, science, and a one-of-a-kind app that generates personalized playlists using cutting-edge AI. Discover the art and science of musical taste – and how technology is reshaping the future of musical preference. Links and notes related to this episode can be found at https://mpetersonmusic.com/podcast/episode207 Connect with us: Newsletter: https://mpetersonmusic.com/subscribe Facebook: https://www.facebook.com/EnhanceLifeMusic/ Instagram: https://www.instagram.com/enhancelifemusic/ LinkedIn: https://www.linkedin.com/in/mpetersonpiano/ Twitter: https://twitter.com/musicenhances Sponsorship information: https://mpetersonmusic.com/podcast/sponsor Leave us a review on Podchaser.com! https://www.podchaser.com/podcasts/enhance-life-with-music-909096 In-episode promo:  Sheet Music Direct https://www.sheetmusicdirect.com MIXX Assistive Audio Adaptive Ear Plugs (check them out at Amazon)  

How will we scale humanoid robot product to hundreds of thousands and millions of units? In this TechFirst we do a deep dive with Apptronik CEO Jeff Cardenas. We chat about Apptronik's Apollo, his recent $400M+ funding round, the partnership with manufacturing giant Jabil, and much more.We also talk about innovations in AI that have accelerated robot learning and dexterous manipulation, the challenge of scaling manufacturing, and Apptronik's future vision.

Bird flu, which has long been an emerging threat, took a significant turn in 2024 with the discovery that the virus had jumped from a wild bird to a cow. In just over a year, the pathogen has spread through dairy herds and poultry flocks across the United States. It has also infected people, resulting in 70 confirmed cases, including one fatality. Correspondent Bill Whitaker spoke with veterinarians and virologists who warn that, if unchecked, this outbreak could lead to a new pandemic. They also raise concerns about the Biden administration's slow response in 2024 and now the Trump administration's decision to lay off over 100 key scientists. Demis Hassabis, a pioneer in artificial intelligence, is shaping the future of humanity. As the CEO of Google DeepMind, he was first interviewed by correspondent Scott Pelley in 2023, during a time when chatbots marked the beginning of a new technological era. Since that interview, Hassabis has made headlines for his innovative work, including using an AI model to predict the structure of proteins, which earned him a Nobel Prize. Pelley returns to DeepMind's headquarters in London to discuss what's next for Hassabis, particularly his leadership in the effort to develop artificial general intelligence (AGI) – a type of AI that has the potential to match the versatility and creativity of the human brain.  One of the most awe-inspiring and mysterious migrations in the natural world is currently taking place, stretching from Mexico to the United States and Canada. This incredible spectacle involves millions of monarch butterflies embarking on a monumental aerial journey. Correspondent Anderson Cooper reports from the mountains of Mexico, where the monarchs spent the winter months sheltering in trees before emerging from their slumber to take flight. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

How would Salvador Dalí have used generative AI? This week in the News Roundup, Oz and Karah dig into this year’s most common uses for generative AI, the rise of code editor, Cursor, and how Google DeepMind’s Veo2 interprets a surrealist screenplay. On TechSupport, The Washington Post’s staff writer, Naomi Nix, discusses the first week of Meta’s antitrust trial.See omnystudio.com/listener for privacy information.

Send us a textIn this vibrant and forward-thinking episode of Sidecar Sync, Mallory and Amith dive into the fun side of AI—exploring OpenAI's new GPT-4o image generation capabilities, Hedra's cartoon animation tech, and the jaw-dropping robotics work between Nvidia, Google DeepMind, and Disney. You'll hear about Mallory's creation of cartoon avatars of herself and Amith, animated with lifelike voices using Hedra and ElevenLabs, plus a lively discussion on how associations can use these tools for scalable content and member engagement. Plus, a look at how Disney's droids and advanced physics engines are shaping the future of robotics far beyond entertainment.

An episode all about cognitive dissonance. Ever feel like there are two yous in the same head? The one that cares about the planet, and the one that doesn't act like it does? And that having two yous makes at least one of your yous freak out? You (and you) are not alone. Welcome to cognitive dissonance. As Walt Whitman wrote: you contain multitudes. It's a feature, not a bug, of being alive. Humans, it turns out, are very good at thinking conflicting things at the same time.  This helps us get through the day, but means we're as likely to run away from scary facts we don't like - eg, the state of planet Earth - as to take meaningful action. It's as bad for our politics as it is for getting our heads around climate change. What's to be done? In this episode, Dave chats all things cognitive dissonance and more with the brilliant Sarah Stein Lubrano. Sarah's an author, podcaster and academic whose work is at the intersection of psychology, politics, and cognitive science. Her new book, Don't Talk About Politics: How to change 21st century minds, is out in mid-May. Let me know your thoughts on the show - hello@yourbrainonclimate.com. Please rate, review and subscribe, and share the show on socials. Please consider chucking this humble indie podcaster a few quid at www.patreon.com/yourbrainonclimate. Owl noises = references: 23:52 - Joseph Henrich coined the term WEIRD & wrote a book about it. 32:30 - Excellent article on Kristin Laurin's work studying bans. 42:44 - Deep organising, via the legend that was Jane McAlevey. 49:29 - Google Deepmind founder Mustafa Suleyman's terrifying book, the Coming Wave. 52:35 - critical theory and social pathology.Clips in this episode are from the (er) 1984 film of 1984, starring Robert Burton and John Hurt. The show is hosted and produced by me, Dave Powell, who you can find @powellds on Bluesky and X/Twitter, although I don't use the latter any more. YBOC theme music and iterations thereof, by me.  Show logo by Arthur Stovell at www.designbymondial.com. 

Google went AI nuts at Cloud Next, possibly taking the lead. OpenAI is reportedly ready to unveil up to five new models. Canva enters the AI arena with innovative features. This week's AI news is explosive. Catch up now!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on the news? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Cloud Next AI Announcements RecapOpenAI ChatGPT Memory Feature DetailsOpenAI and Elon Musk Legal BattleCanva AI Suite Expansion OverviewAnthropic Claude Max Subscription PricingMicrosoft's Data Center Strategy PivotShopify's AI Usage Mandatory PolicyUpcoming OpenAI Model Releases OverviewTimestamps:00:00 Technical Glitch with Equipment04:48 Gemini 2.5 Pro Launch07:06 Google's New AI Collaboration Protocols13:28 ChatGPT Enhances Memory for Personalization17:37 AI Surveillance Accusations in U.S. Agencies20:56 Canva Launches AI-Powered Suite23:10 AI Graphic Design Evolution26:02 "Musk's Lawsuit: A Delay Tactic"28:14 Anthropic Launches Claude Max Subscription34:05 Microsoft Pauses Data Center Expansion35:39 Microsoft's $80B AI Investment Strategy42:05 Shopify's Bold AI Integration Shift44:25 Maximize AI Before Hiring48:31 OpenAI Model Tiers Explained51:41 "GPT-5: Concerns on Model Autonomy"54:20 AI Innovations and Controversies OverviewKeywords:Google Cloud Next, AI updates, OpenAI, countersue, Elon Musk, Canva AI features, Gemini 2.5 Pro, Large Language Model, ChatGPT memory feature, AI race, GPT 4.1, Vertex AI, Google AI Studio, agent to agent protocol, Google Workspace, Google Sheets, MCP protocol, Google DeepMind, GDC, Ironwood TPU chip, Lyria AI model, AI video model, AI music generation, Elon Musk's Dodge team, government AI monitoring, Ethical AI use, Canva Sheets, Shopify CEO AI memo, Anthropic, Claude Max, Microsoft Copilot, AI infrastructure, Recall AI feature, data privacy concerns, AI-powered productivity, GPT models, AI operating systems, personalized AI, GMPT 4.5, AI sandbox, Nvidia hardware, test time computing, AI reasoning, ChatGPT preferences.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

It's been a wild week. One of those weeks where the headlines are loud, the hype is high, and the truth is somewhere buried underneath. If you've been wondering what to make of the claims that GPT-4.5 just “beat humans,” or if you're trying to wrap your head around what Google's massive AGI safety paper actually means, you're in the right place.As usual, I'll break it all down in a way that cuts through the noise, gives you clarity, and helps you think deeper, especially if you're a business leader trying to stay ahead without losing your mind (or your values).With that, let's get to it.GPT-4.5 Passes the Turing Test – The headlines say it “beat humans,” but what does that really mean? I unpack what the Turing Test is, why GPT-4.5 passing it might not mean what you think, and why this moment is more about AI's ability to convince than its ability to think. This isn't about panic; it's about perspective.Google's AGI Safety Framework – Google DeepMind just dropped a 145-page blueprint for AGI safety. That alone should tell you how seriously the big players are taking this. I break down what's in it, what's good, what's missing, and why this moment signals we're officially past the point of treating AGI as hypothetical.Shopify's AI Mandate – When Shopify's CEO says AI will determine hiring, performance reviews, and product decisions, you better pay attention. I explore what this shift means for businesses, why it's more than a bold PR move, and how to make sure your organization doesn't just talk AI but actually does it well.Ethical AI in Relationships and Interviews – A viral story about using ChatGPT to prep for a date raises big questions. Is it creepy? Is it smart? Is it both? I use it as a springboard to talk about how we think about people, relationships, and trust in a world where AI can easily impersonate authenticity. Hint: the issue isn't the tool; it's the intent.I'd love to hear what you think. Drop your thoughts, reactions, or disagreements in the comments.Show Notes:In this Weekly Update, Christopher Lind dives into the latest developments at the intersection of business, technology, and human experience. Key discussions include the recent passing of the Turing test by OpenAI's GPT-4.5 model, its implications, and why we may need a new benchmark for AI intelligence. Christopher also explores Google's detailed technical framework for AGI safety, pointing out its significance and potential impact on future AI development. Additionally, the episode addresses Shopify's strong focus on integrating AI into its operations, examining how this might influence hiring practices and performance reviews. Finally, Christopher discusses the ethical and practical considerations of using AI for personal tasks, such as preparing for dates, and emphasizes the importance of understanding AI's role and limitations.00:00 - Introduction and Purpose of the Update01:27 - The Turing Test and GPT-4.5's Achievement14:29 - Google DeepMind's AGI Safety Framework31:04 - Shopify's Bold AI Strategy43:28 - Ethical Implications of AI in Personal Interactions51:34 - Concluding Thoughts on AI's Future#ArtificialIntelligence #AGI #GPT4 #AIInBusiness #HumanCenteredTech

welcome to wall-e's tech briefing for friday, april 11th! explore the key tech developments of the day: rise in used tesla listings: autotrader.com data reveals a 67% increase in used tesla listings in march, as tesla's first-quarter sales dip by 9% amid competitive growth from gm and hyundai. google deepmind's ai integration: ceo demis hassabis discusses plans to merge gemini ai models with veo's video features, advancing a holistic digital assistant leveraging youtube data. fraud charges against nate's ex-ceo: albert saniger faces fraud allegations, with revelations about manual transaction processing despite ai claims in the $50 million-funded fintech startup. whatsapp's latest enhancements: new features include default messaging app setting for iphones, improved video call quality, document scanning, “online” indicator in group chats, and refined notifications. stripe's customer engagement initiative: ceo patrick collison invites customers to executive meetings, aiming to enhance service quality and address small business concerns, reinforcing its position as a leading private fintech firm. stay tuned for tomorrow's updates!

Dozens of AI updates.

The Nasdaq soared 12% to its best day since 2001, a Facebook whistleblower said the company collaborated with China to undermine U.S. security, and Google DeepMind will add support for Anthropic’s Model Context Protocol. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none ofContinue reading "The Nasdaq Soared 12% To Its Best Day Since 2001 – DTH"

In this episode, Nathan Labenz speaks with Vivek Natarajan and Anil Palepu from Google DeepMind about their groundbreaking work on AMIE (Articulate Medical Intelligence Explorer) and Co-Scientist. The conversation reveals how these AI systems are already outperforming human physicians in diagnostic accuracy and treatment recommendations, with AMIE now entering clinical trials at a Harvard Medical School teaching hospital. Even more remarkably, the Co-Scientist system demonstrates genuine scientific discovery capabilities, independently proposing the exact same mechanism for bacterial drug resistance that human scientists had recently discovered but not yet published—signaling a threshold moment where AI is becoming a legitimate thought partner in humanity's most complex intellectual endeavors. SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle Cloud Infrastructure offers next-generation cloud solutions that cut costs and boost performance. With OCI, you can run AI projects and applications faster and more securely for less. New U.S. customers can save 50% on compute, 70% on storage, and 80% on networking by switching to OCI before May 31, 2024. See if you qualify at https://oracle.com/cognitive Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (06:26) Introduction and Welcome (07:49) AMY Medical Intelligence Overview (11:29) Chat-Based Medical Interactions (13:59) Specialized Medicine Results (18:17) Co-Scientist System Headlines (Part 1) (18:21) Sponsors: Oracle Cloud Infrastructure (OCI) | Shopify (21:36) Co-Scientist System Headlines (Part 2) (26:32) Bacterial Drug Resistance Discovery (31:41) AI Scientific Discovery Process (35:35) Hallucinations vs. Creativity (Part 1) (35:37) Sponsors: NetSuite (37:10) Hallucinations vs. Creativity (Part 2) (42:04) Agent Design Architecture (49:17) Long Context Benefits (55:35) Computational Requirements (01:01:10) Specialist Models Integration (01:07:01) Future Model Integration (01:12:31) Tournament Evaluation Methods (01:19:09) AI Question Generation (01:22:42) Real-World Deployment Plans (01:25:58) Outro

Plus Is AI Really Woke?Like this? Get AIDAILY, delivered to your inbox, 3x a week. Subscribe to our newsletter at https://aidaily.usMeta Accused of Aiding China's AI Growth—Whistleblower Speaks OutFormer Meta policy chief Sarah Wynn-Williams alleges that the company secretly assisted China's AI development, compromising U.S. national security. She claims Meta shared user data with the Chinese Communist Party and misled Congress about these dealings. Meta denies these accusations, stating they don't operate services in China. Is AI Really 'Woke' or Extremist?Debates are heating up over whether AI systems lean 'woke' or extremist. Some argue AI spreads radical views, while others claim it enforces political correctness. The truth? AI mirrors the biases in its training data. To keep AI neutral, it's crucial to use diverse, balanced datasets and ongoing human oversight. AI 'Lawyer' Gets Benched in NY CourtroomIn a wild courtroom twist, Jerome Dewald, repping himself in an employment beef, rolled in with an AI-generated avatar to argue his case. The judges? Not amused. They shut it down fast, calling out the lack of heads-up. Dewald said he was just trying to avoid public speaking jitters, but the court wasn't having it.AI-Generated Fake Job Seekers Are Flooding the Job MarketScammers are now using AI to create fake job applicants, complete with fabricated resumes and deepfake video interviews, to land remote positions. This surge in AI-generated candidates is overwhelming recruiters and raising concerns about security breaches and the integrity of the hiring process. Experts predict that by 2028, one in four job applicants could be fake, highlighting the need for more robust verification methods in recruitment. Can AI Writing Be More Than a Gimmick?Author Vauhini Vara's new book, "Searches: Selfhood in the Digital Age," dives into how tech shapes our identities. She teamed up with AI, like ChatGPT, to co-write essays exploring personal themes, including grief. While AI added some cool insights, it often fell into clichés, showing that human touch still rules in storytelling. The book mixes memoir and tech critique, highlighting both the perks and pitfalls of AI in creative writing. Google DeepMind's Noncompete Clauses Stir ControversyGoogle DeepMind is enforcing strict noncompete agreements in the UK, preventing employees from joining rival AI companies for up to a year. Some staff are placed on paid "garden leave" during this period. Critics argue these practices stifle innovation and limit career mobility in the rapidly evolving AI industry.

In this illuminating episode of The Cognitive Revolution, host Nathan Labenz speaks with Jack Rae, principal research scientist at Google DeepMind and technical lead on Google's thinking and inference time scaling work. They explore the technical breakthroughs behind Google's Gemini 2.5 Pro model, discussing why reasoning techniques are suddenly working so effectively across the industry and whether these advances represent true breakthroughs or incremental progress. The conversation delves into critical questions about the relationship between reasoning and agency, the role of human data in shaping model behavior, and the roadmap from current capabilities to AGI, providing listeners with an insider's perspective on the trajectory of AI development. SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle Cloud Infrastructure offers next-generation cloud solutions that cut costs and boost performance. With OCI, you can run AI projects and applications faster and more securely for less. New U.S. customers can save 50% on compute, 70% on storage, and 80% on networking by switching to OCI before May 31, 2024. See if you qualify at https://oracle.com/cognitive Shopify: Shopify is revolutionizing online selling with its market-leading checkout system and robust API ecosystem. Its exclusive library of cutting-edge AI apps empowers e-commerce businesses to thrive in a competitive market. Cognitive Revolution listeners can try Shopify for just $1 per month at https://shopify.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (05:09) Introduction and Welcome (07:28) RL for Reasoning (10:46) Research Time Management (13:41) Convergence in Model Development (18:31) RL on Smaller Models (Part 1) (20:01) Sponsors: Oracle Cloud Infrastructure (OCI) | Shopify (22:35) RL on Smaller Models (Part 2) (23:30) Sculpting Cognitive Behaviors (25:05) Language Switching Behavior (28:02) Sharing Chain of Thought (32:03) RL on Chain of Thought (Part 1) (33:46) Sponsors: NetSuite (35:19) RL on Chain of Thought (Part 2) (35:26) Eliciting Human Reasoning (39:27) Reasoning vs. Agency (40:17) Understanding Model Reasoning (44:29) Reasoning in Latent Space (47:54) Interpretability Challenges (51:36) Platonic Model Hypothesis (56:05) Roadmap to AGI (01:00:57) Multimodal Integration (01:04:38) System Card Questions (01:07:51) Long Context Capabilities (01:13:49) Outro

We gotta talk about this

In this episode, hosts Mark and Shashank dive into recent developments in generative AI technology. They begin with NVIDIA's latest GTC announcements, including partnerships with GM for self-driving technology and advancements in robotics with Google DeepMind and Disney. The hosts debate the merits of camera-only versus LiDAR-based autonomous driving systems, referencing Mark Rober's viral comparison video. They also discuss NVIDIA's upcoming Ruben chip, which promises a 10-15x performance increase over the current Blackwell architecture. The conversation shifts to a correction about the DeepSeek model's computational requirements before culminating in a thought-provoking discussion about the challenges of creating generalized robotics systems and how simulation environments might accelerate development. Throughout the episode, the hosts share insights on what these technological advancements might mean for the future of AI and robotics.

Chi Wang is co-creator of AG2, and a Senior Staff Research Scientist, Google DeepMind.  This episode explores AG2, an open-source “agent OS” that provides infrastructure for developers to build sophisticated multi-agent AI systems.Subscribe to the Gradient Flow Newsletter

Today's guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Nistha returns to the program to discuss the transformative impact of AI across the pharmaceutical value chain. She and Emerj Editorial Director Matthew DeMello explore how AI is improving drug development efficiency, addressing data challenges, and overcoming regulatory hurdles. She highlights key breakthroughs like Google DeepMind's AlphaFold and AI-assisted clinical trial optimization, emphasizing the potential for faster, more cost-effective drug development. The discussion also covers the challenges of AI adoption, including data accessibility, regulatory compliance, and ethical considerations like bias in AI models. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Still think of AI as just a chatbot? It's time to reframe that mindset. Logan Kilpatrick of Google DeepMind joins the show to discuss the latest advances with Gemini, including long-context reasoning and native multimodal capabilities—and why UX, not chat, is the real frontier in AI. He shares examples from Khan Academy and others that show how smarter, more human-centered experiences are key to unlocking AI's full potential. Logan and Mohan Rao also explore why it's such an exciting time to be working in AI, with developers making groundbreaking discoveries daily, and how the next wave of AI in services businesses has so much promise, as we shift from real-time answers to asynchronous, reasoning-driven systems with humans in the loop. Next, CMO Courtney Baker teams up with CEO David DeWolf and Chief Product and Technology Officer Mohan Rao to look at why, in the AI age, leaders need to think differently about how to deliver value with concepts like learning systems, compounding intelligence, and more.  They also join Logan in challenging the chatbot-centric mental model that many may hold about AI because it has been our introductory experience to the technology. They explore why simply deploying chat interfaces isn't the future—and why UX is key to making AI work for real business outcomes. Plus, Pete Buer breaks down Anthropic's $61B valuation from their latest funding round and looks at how businesses should evaluate LLMs for fit and function, not just from what they read in the latest headlines. Ready to stop having long, text-based discussions with a chatbot and start building smarter AI experiences? Us too.  Watch this episode on YouTube: https://youtu.be/4wHs_V96afE  Check out Knownwell's AI-native platform and see how your business can thrive in the new era: Knownwell.com Show Notes:  Connect with Logan Kilpatrick on LinkedIn Read the LinkedIn post about Mercor that David, Mohan, and Courtney discuss Learn more about Google DeepMind Learn more about Google AI Studio Connect with David DeWolf on LinkedIn Connect with Courtney Baker on LinkedIn Connect with Mohan Rao on LinkedIn Connect with Pete Buer on LinkedIn Watch a guided Knownwell demo Follow Knownwell on LinkedIn  

Nvidia CEO Jenson Huang shows off the imporoved Groot N1 robotics operating system and brings out a robot named Blue to demonstrate it's AI capabilities as Nvidia teams up with Disney Research and Google DeepMind to accelerate the development of AI robots to bulster the human workforce.

As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today's written prompts will become outdated and how AI is transforming everything from video generation to computer control. He reveals that 25% of Google's code is now written by AI and explains why coding could see major leaps forward this year. He emphasizes the importance of taste, design and human values in building AI tools that will shape how future generations work and create. Mentioned in this episode: Notebook LM: Personal research product based on Gemini 2 (previously discussed on Training Data.) Veo 2: Google DeepMind's new video generation model. Paul Graham on X replying to Aaron Levie's post that “One approach to take in building in AI is to do something that's too expensive to be reasonably practical right now, and just bet that the costs will drop by 10X or 100X over time. The cost curve is on your side.” Where Good Ideas Come From: Book on the history of innovation by Steven Johnson. Project Mariner: Google DeepMind's research prototype exploring human-agent interaction starting with browser use. Replit Agent: Josh's favorite new AI app The Lego Story: Book on the history of Lego. Hosted by: Ravi Gupta and Sonya Huang, Sequoia Capital 

Google DeepMind's latest humanoid robots are blurring the line between science fiction and reality. In this episode of Denoised, Addy and Joey explore how AI is making robots understand our physical world in real-time, the exploration of 'vibe filmmaking' as a creative approach using generative AI tools, and the alarming free speech battle facing Miami's O Cinema over screening the Oscar-winning documentary 'No Other Land.' From cutting-edge AI to cultural censorship, this episode unpacks what these developments mean for creative professionals.

Nvidia CEO Jensen Huang shows off the improved Groot N1 robotics operating system and brings out a robot named Blue to demonstrate it's AI capabilities as Nvidia teams up with Disney Research and Google DeepMind to accelerate the development of AI robots to bolster the human workforce.

Join us in a deep dive with Allan Dafoe, Director of Frontier Safety and Governance at Google DeepMind. Allan sheds light on the challenges of evaluating AI capabilities, structural risks, and the future of AI governance. Discover how AI technologies can transform sectors like education, healthcare, and sustainability, alongside the potential risks and necessary safety measures. This episode provides a comprehensive look at the intersection of technology, safety, and governance in the rapidly evolving AI landscape. SPONSORS: SafeBase: SafeBase is the leading trust-centered platform for enterprise security. Streamline workflows, automate questionnaire responses, and integrate with tools like Slack and Salesforce to eliminate friction in the review process. With rich analytics and customizable settings, SafeBase scales to complex use cases while showcasing security's impact on deal acceleration. Trusted by companies like OpenAI, SafeBase ensures value in just 16 days post-launch. Learn more at https://safebase.io/podcast Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at https://oracle.com/cognitive Shopify: Shopify is revolutionizing online selling with its market-leading checkout system and robust API ecosystem. Its exclusive library of cutting-edge AI apps empowers e-commerce businesses to thrive in a competitive market. Cognitive Revolution listeners can try Shopify for just $1 per month at https://shopify.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive RECOMMENDED PODCAST: Second Opinion. Join Christina Farr, Ash Zenooz and Luba Greenwood as they bring influential entrepreneurs, experts and investors into the ring for candid conversations at the frontlines of healthcare and digital health every week. Spotify: https://open.spotify.com/show/0A8NwQE976s32zdBbZw6bv Apple: https://podcasts.apple.com/us/podcast/second-opinion-with-christina-farr-ash-zenooz-md-luba/id1759267211 YouTube: https://www.youtube.com/@SecondOpinionwithChristinaFarr PRODUCED BY: https://aipodcast.ing

Our guest this week is Fabio Gehrlicher, Director of Market Expansion at Wandelbots. In the interview, they discuss the company's journey, focusing on its flagship product, Wandelbots NOVA, an agnostic operating system for robots. Fabio explains how NOVA simplifies robot programming, the integration of AI for path planning, and the benefits of simulation-based programming. The conversation also covers the target audience for NOVA, the architecture of the system, and the challenges of transitioning from simulation to real-world applications. Fabio shares insights on the ROI of using NOVA and the learning curve for new users, as well as Wandelbots' expansion into the US market and their upcoming showcase at ProMat 2023. Cohosts Steve Crowe and Mike Oitzman catch up on the news of the week, including financial stress at iRobot, and news that Google DeepMind is introducing two Gemini-based models to bring AI to the real world. Gemini Robotics, is an advanced vision-language-action (VLA) model that was built on Gemini 2.0. It added physical actions as a new output modality for the purpose of directly controlling robots. ### Our sponsor this week is Wandelbots. Simplify automation without limits. Wandelbots NOVA is the agnostic robotics platform that lets you program any 6-axis robot - whether coding from scratch or generating paths with real-world data. Test in simulation, deploy seamlessly, and optimize workflows across brands - without vendor lock-in. Smarter automation starts here. Visit https://www.wandelbots.com/ to learn more.

Technology doesn't force us to do anything — it merely opens doors. But military and economic competition pushes us through. That's how Allan Dafoe — director of frontier safety and governance at Google DeepMind — explains one of the deepest patterns in technological history: once a powerful new capability becomes available, societies that adopt it tend to outcompete those that don't. Those who resist too much can find themselves taken over or rendered irrelevant.These highlights are from episode #212 of The 80,000 Hours Podcast: Allan Dafoe on why technology is unstoppable & how to shape AI development anyway, and include:Who's Allan Dafoe? (00:00:00)Astounding patterns in macrohistory (00:00:23)Are humans just along for the ride when it comes to technological progress? (00:03:58)Flavours of technological determinism (00:07:11)The super-cooperative AGI hypothesis and backdoors (00:12:50)Could having more cooperative AIs backfire? (00:19:16)The offence-defence balance (00:24:23)These aren't necessarily the most important or even most entertaining parts of the interview — so if you enjoy this, we strongly recommend checking out the full episode!And if you're finding these highlights episodes valuable, please let us know by emailing podcast@80000hours.org. Highlights put together by Simon Monsour, Milo McGuire, and Dominic Armstrong

Send Everyday AI and Jordan a text messageAn AI agent that costs $20,000 a month?

Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience working on Isomorphic Labs' and Google DeepMind's AlphaFold 3 — an AI model for predicting the structure of molecules — Jaderberg explains how this new technology frees up researchers' time and resources to better understand the real, messy world and tackle the next frontiers of science, medicine and more. Hosted on Acast. See acast.com/privacy for more information.

Brett and Christina return from a break (sans Jeff for a couple weeks) with an episode that's part health saga, part tech chatter, and part retro gaming geek-out. Christina boasts a new gig at Google DeepMind, while Brett recounts his…

Send Everyday AI and Jordan a text messageHow can you quickly turn ideas into products? Do you need to be overly technical to build in today's day and age of AI? And what the heck is in the NVIDIA Inception program? We'll tackle all those questions, and a lot more. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Will and William questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. NVIDIA Inception Startup Program2. Spotlight on Lightning AI3. Rapid Changes in AI and Their Impact4. Strategies for Startups in the AI EraTimestamps:01:50 Daily AI news04:40 Intro to guests06:11 NVIDIA Startup Support Overview08:24 "AI Deployment Simplified with Prebuilt Solutions"12:40 AI Era Spurs New Startups13:43 Future of CRM and Ecommerce Revolution18:43 "Lean Methodology's Impact on Startups"20:10 Defining Core IP for Startups23:59 "Partner for AI Business Growth"27:50 Automating Expertise Documentation30:46 Risks of Rapid Product Creation34:37 Experiment with AI ToolsKeywords:Generative AI, startup landscape, software engineer, leverage AI, NVIDIA inception program, AI news, Google DeepMind, YouTube Shorts, Anthropic AI model, OpenAI CEO Sam Altman, generative AI tools, AI video model, podcast, Lightning AI, NVIDIA startup program, AI native companies, product market fit, large language models, OpenAI, ChatGPT, machine learning, deep reasoning capabilities, AI newsletter, hybrid AI model, technology invention, Lightning AI hub, developer tools, AI prompts, GPT series, computing efficiency Ready for ROI on GenAI? Go to youreverydayai.com/partner

Send Everyday AI and Jordan a text messageCould your company get fined $100 million for using DeepSeek? Is OpenAI coming for Salesforce AND Google? What's new in Gemini 2.0?AI advancements are on fire. Don't waste hours a day trying to keep up. We bring you the AI news that matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI Developments2. Google's Gemini 2.03. U.S. Legislation on DeepSeek4. Figure AI's Robotics Plans5. Google Updates AI GuidelinesTimestamps:00:00 OpenAI Develops In-House AI Chip06:40 "Gemini Chat's New Enhancements"08:08 Proposed Bill Targets DeepSeek Usage12:21 DeepSeq Controversy and Vulnerabilities15:47 Tech Layoffs Surge Amid AI Shift19:43 "Figured AI Pursues In-House Robotics"23:27 AI Investment and Governance Debate27:13 SSI: Secretive AI Lab Emerges30:42 GitHub's Autonomous Coding Agent Preview33:21 LeChat Expands Features and Pricing35:13 ChatGPT Now Accessible Without Login41:14 AI Disrupting CRM Market Dynamics44:23 AI Innovations and Market Moves45:57 AI Predictions Podcast SeriesKeywords:DeepSeek, Chinese AI models, OpenAI, Google, Salesforce, Gemini 2.0, AI chip, NVIDIA, TSMC, AI development, Tech companies, Google DeepMind, US Congress bill, AI fines, deep research, AI predictions, Workday layoffs, AI agents, robotics, Figure AI, AI ethics, AI weapons, Safe Super Intelligence, GitHub Copilot, Microsoft, Mistral AI, La Chat, ChatGPT search, Crystal Intelligence, SB OpenAI Japan, CRM. Ready for ROI on GenAI? Go to youreverydayai.com/partner