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Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


Starting the week with your inbox overflowing? AI has already done its part.


Microsoft’s first AI Diffusion Report paints a world moving at different speeds: 1.2 billion people have tried AI in under three years, but not everyone has the connectivity, skills, or infrastructure to join the race.


Meanwhile, California is taking a hard look at safety, rolling out new rules to protect kids from AI-powered chatbots, deepfakes, and online risks.


And for anyone ready to experiment, Google Maps’ Builder agent turns a single sentence into a live, interactive map, making prototyping faster and more accessible than ever.


Week’s underway, and there’s plenty to keep your curiosity busy.



Here's another crazy day in AI:

  • Understanding global diffusion patterns

  • New California laws protect children from AI risks

  • Google Maps launches AI tool for instant map prototypes

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Microsoft's New Global Intelligence Report

A robotic scientist in a classic white coat with 'AI Scientist' on its back stands beside a human scientist with 'Human Scientist' on their coat, looking towards the AI Scientist.

Image Credit: Wowza (created with Ideogram)


How did AI reach over a billion users faster than any technology in history, yet still leave half the world behind?


Microsoft's first AI Diffusion Report takes a wide-angle view of how artificial intelligence is spreading across countries, industries, and communities. Drawing from data in over 100 nations, the report examines who is leading in AI innovation, who has the infrastructure to scale it, and who is actually putting it to use. Published by Microsoft's AI Economy Institute, the study finds that more than 1.2 billion people have used AI tools in under three years—faster than any other major technology in history. But as adoption accelerates, it also reveals a widening gap between regions with the means to participate and those still lacking the foundations to join in.


The report introduces three indices—the AI Frontier Index, AI Infrastructure Index, and AI Diffusion Index—that together paint a picture of a world moving at different speeds. From model builders at the frontier to everyday users, the findings show that access to electricity, connectivity, and digital skills continues to determine who benefits most from technological change.



Image Credit: Microsoft
Image Credit: Microsoft


Findings from the Report:

  • AI reached 1.2 billion users in less than three years, becoming the fastest-adopted technology in history.

  • AI use in the Global North is nearly double that in the Global South, with adoption slowed by infrastructure and access challenges.

  • The U.S. and China account for 86% of global data center capacity, revealing how concentrated AI infrastructure remains.

  • Language diversity limits adoption, particularly in regions where low-resource languages dominate online communication.

  • Countries such as Singapore, the UAE, and Norway demonstrate how coordinated policies and digital readiness can drive faster adoption.

  • The report emphasizes access, education, and inclusion as key factors in ensuring AI’s benefits are more widely shared.



Image Credit: Microsoft
Image Credit: Microsoft


What's striking here is how the numbers tell two different stories at once. Yes, AI reached over a billion users faster than any previous technology—that part is remarkable. But when you look closer, those users aren't spread evenly. Countries with reliable electricity grids, solid internet infrastructure, and populations that speak widely-supported languages are seeing quick adoption. Meanwhile, nearly half the world is still missing one or more of these basics. Even language matters more than you'd expect: Swahili, spoken by over 200 million people, has about 500 times less online content than German. So even when someone has internet access, the AI tools might barely work in their language.


There's also something interesting happening at the development level. The race to build better AI models has gotten surprisingly tight—China is only about six months behind the US in performance now, and the gap keeps narrowing. But here's the catch: actually running these models at scale requires massive data centers, and 86% of that capacity sits in just two countries. So while more nations are learning to build competitive models, the infrastructure to deploy them widely isn't keeping pace. The report doesn't push any particular agenda, but it does make you wonder: if the first billion users came this quickly, what's it going to take to reach the next billion?




Read the full article here.

Read the full report here.

OTHER INTERESTING AI HIGHLIGHTS:


New California Laws Protect Children from AI Risks

/Alexandria Ng, Staff Writer, on EdWeek Market Brief


California has enacted a sweeping set of AI and social media regulations aimed at protecting children online, marking a major shift from “What can AI do?” to “How safe is AI?” Governor Gavin Newsom signed a package of bills that set new standards for chatbot transparency, age verification, and social media warnings. The laws also strengthen penalties for deepfake exploitation and introduce new cyberbullying prevention requirements for schools. For education and tech companies, this legislation signals a new era of accountability in how AI products are designed and deployed for young users.



Read more here.


Google Maps Launches AI Tool for Instant Map Prototypes

/Angela Yu, Product Manager, and Stacey Allen, Product Marketing Manager, on Google Maps Platform


Google Maps Platform has unveiled Builder agent, a geospatial AI tool that lets users turn ideas into interactive map prototypes in minutes—no coding experience required. Powered by Gemini models, Builder agent combines generative AI with Google Maps APIs to create fully coded, customizable demos from a single sentence prompt. From 3D travel previews to data-driven planning maps, it helps teams test ideas faster and streamline development. Google says the tool lowers the barrier to innovation by helping more people experiment and prototype using live Maps data.



Read more here.

Builder agent showing an interactive 3D view | Source: Google Maps
Builder agent showing an interactive 3D view | Source: Google Maps

SOME AI TOOLS TO TRY OUT:


  • Ancher – Learns what matters to you and filters news so you stay informed.

  • Context Link – Share one link that gives AI the right context from your sources instantly.

  • Nessie – Turns AI chats into a searchable, evolving knowledge base for your mind.

That’s a wrap on today’s Almost Daily craziness.


Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!



Wowza, Inc.

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.





Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


Weekend is calling. Before you pick up your coffee or cocktails, check this out.


Canva just dropped nine new tools to supercharge creativity, from video editing to marketing magic. Over 40 billion designs later, they’re asking the big question: if you had unlimited creative power, what would you actually make?


Speaking of making things easier, Amazon’s AI-powered Kindle Translate is helping authors reach readers in new languages.


Meanwhile, Google is popping up in headlines again with ADK for Go, giving developers the power to build AI agents that can think, plan, and collaborate like a tiny team of digital experts.


Step away from the screen and let your thoughts roam.



Here's another crazy day in AI:

  • What Canva announced at their 2025 World Tour

  • Amazon launches AI-powered translation for Kindle authors

  • Google brings the Agent Development Kit to Go developers

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Inside Canva's 2025 Launch Event

A robotic scientist in a classic white coat with 'AI Scientist' on its back stands beside a human scientist with 'Human Scientist' on their coat, looking towards the AI Scientist.

Image Credit: Wowza (created with Ideogram, edited on Canva)


Have you ever wondered if the tools we use to create actually shape what we're capable of imagining?


Canva hosted their 2025 World Tour finale in Sydney last week, where founders Melanie Perkins, Cliff Obrecht, and Cameron Adams presented nine major product launches. The event wasn’t just another tech announcement... it explored a bigger question about where we’re headed as creative professionals and what tools we actually need to bring ideas to life. After traveling to over 40 cities across 30 countries, the team gathered more than 1 million feature requests from their community, and these launches are their direct response. With 40 billion designs already created on the platform (that’s about 433 new designs every second), Canva is expanding well beyond simple graphic design into video editing, data integration, professional creative tools, and marketing automation. he company also reaffirmed their commitment to social impact, including $100 million in partnerships to address poverty and over $1.5 billion in product value donated to educators and nonprofits.


What was announced during the keynote:

  • Video 2.0 – A redesigned editor giving creators access to advanced video tools while keeping the process simple and approachable.

  • Interactive Forms and Canva Code – Features that merge creativity and data, allowing users to collect and connect information directly within their designs.

  • Email Design – Lets users create responsive, branded emails without leaving Canva.

  • Canva Design Model – A system that understands design principles and generates editable layouts from short prompts.

  • Ask Canva – A built-in design assistant that provides real-time layout and style suggestions.

  • Canva Grow – A workspace that supports businesses in planning, publishing, and managing marketing campaigns.

  • Canva Brand System – Updated tools to help teams maintain consistent branding across large-scale projects.

  • Affinity Relaunch – A professional creative suite for vector, pixel, and layout design, now offered for free.

  • Social Responsibility – Continued focus on education, sustainability, and poverty alleviation through global partnerships and donations.





The Affinity decision is genuinely surprising. Professional design software has always come with a price tag that adds up quickly, and making that kind of tool completely free changes the math for a lot of people—students, freelancers, small studios who've been choosing between expensive subscriptions or less capable alternatives. Whether it actually competes with the industry standards people are used to will depend on how it performs in real-world projects, but at least the cost barrier is gone. That alone is worth paying attention to.


What might be more interesting than any single feature is how all these pieces connect in actual use. A platform that handles everything from collecting data to publishing campaigns sounds convenient on paper, but the real test is whether it actually saves time or just moves the complexity around. For small teams juggling multiple subscriptions and logins, this kind of consolidation could be genuinely helpful. For larger organizations, having brand guidelines right where people work might solve some persistent headaches. On the other hand, putting so much into one ecosystem means betting on that company's decisions going forward. The gap between a polished keynote demo and day-to-day workflow can be pretty wide, so it'll be interesting to see how these tools actually feel once people have been using them for a few months.




Watch the Keynote here.

OTHER INTERESTING AI HIGHLIGHTS:


Amazon Launches AI-Powered Translation for Kindle Authors

/Amazon Newsroom


Amazon has launched Kindle Translate, an AI-powered translation service now in beta for select Kindle Direct Publishing authors. The service currently supports English–Spanish and German–English translations, enabling authors to reach new readers and expand their global audience. Translations are automatically evaluated for accuracy, and authors can preview or publish completed versions through the KDP portal. For readers, translated books include clear labels and samples, with eligibility for Kindle Unlimited and KDP Select programs.



Read more here.


Google Brings the Agent Development Kit to Go Developers

/Toni Klopfenstein, Developer Relations Engineer, ADK Go Developer Relations, on Google for Developers Blog


Google has introduced ADK for Go, adding support for Go developers to build sophisticated AI agents with the Agent Development Kit. ADK allows developers to define agent behavior, orchestration, and tool use directly in code, offering robust debugging, versioning, and deployment flexibility. Go developers can now leverage concurrency, strong typing, and seamless integration with over 30 databases through MCP Toolbox. The update also introduces support for Agent2Agent (A2A) protocols, enabling multi-agent collaboration for complex problem-solving.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • ArcitextAnalyze your text and capture your brand’s unique writing style.

  • PeakfloHuman-like AI agents handle calls, outreach, and customer service at scale.

  • ExcelmaticTurn Excel data into insights and visuals instantly with AI.

That’s a wrap on today’s Almost Daily craziness.


Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!



Wowza, Inc.

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.





Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


It’s that Thursday stretch where your mind’s halfway out the door, but there’s still time for a few good stories.


A new episode of The Neuron podcast peels back the curtain on the real people behind AI’s polished outputs. Caspar Eliot from Invisible Technologies shares how thousands of human trainers quietly power the world’s smartest systems. Real people label data, check responses, and quietly shape the way AI learns.


Meanwhile, Shopify’s seeing record growth from AI-powered shopping tools as “agentic commerce” starts turning chats into checkouts.


And Google’s expanding Chrome’s AI Mode to more countries and languages, making it easier than ever to dig deep into topics right from your phone.


Weekend’s close enough to taste.



Here's another crazy day in AI:

  • The people behind AI training

  • Shopify sees AI shopping surge in 2025

  • Google makes AI mode easier on iOS and Android

  • Some AI tools to try out


TODAY'S FEATURED ITEM: The Truth About AI Development

A robotic scientist in a classic white coat with 'AI Scientist' on its back stands beside a human scientist with 'Human Scientist' on their coat, looking towards the AI Scientist.

Image Credit: Wowza (created with Ideogram)


Who's actually teaching AI models how to respond intelligently?


There's a common assumption that AI models like ChatGPT and Claude learn everything by scanning the internet. The reality involves considerably more human effort than most people realize. In a recent episode of The Neuron podcast, hosts Corey Noles and Grant Harvey speak with Caspar Eliot from Invisible Technologies about the extensive human workforce involved in AI development. Invisible Technologies has worked on training 80% of the world's leading AI models, and Caspar walks through the actual processes that make these systems functional, from data labeling and response evaluation to the specialized expertise now required as models become more sophisticated. The conversation covers both the technical foundations and the practical business challenges companies face when implementing AI solutions.



A few things they dug into:

  • Training AI models requires three main components: giving them high-quality datasets to learn from, fine-tuning their behavior through targeted examples, and evaluating whether the changes actually improve performance

  • Behind every major AI model are people spending countless hours labeling data, rating responses, teaching models through feedback loops, and catching biases that automated systems can't detect

  • AI works by predicting the next most likely word or token, not by actually understanding content, which is why human judgment remains essential for determining if outputs are genuinely useful

  • The expertise required has evolved significantly. Early training relied on general annotators, but now companies need specialists in fields like healthcare, linguistics, or technical domains

  • Most businesses face foundational issues before AI can help them: poor data organization, processes they can't clearly explain, or attempting to automate tasks that weren't well-designed in the first place

  • Physical AI applications like self-driving cars and robotics will bring a new set of challenges around safety testing, legal responsibility, and getting people comfortable with the technology

  • Evaluating AI improvements isn't straightforward. A model might become more creative but also more prone to errors, making it hard to define what "better" actually means in practice

  • Valuable skills for AI work come from surprising places. The rapid decision-making and pattern recognition from competitive gaming, for example, translates well to prompt engineering and system design




One thing that comes through clearly is how different the day-to-day reality of AI is from what gets discussed in headlines. Caspar mentions he doesn't use AI tools much himself, mainly just for transcribing handwritten notes because he focuses better when writing by hand. That's a telling detail. His observation about model development potentially stopping without most users noticing for years suggests we might be paying attention to the wrong metrics when tracking progress. The example of analyzing basketball footage for the Charlotte Hornets shows how AI can do things that would be impractical manually, but someone still needs to decide what to look for and what the results mean.


The conversation also gets into something that doesn't always come up in AI discussions: implementation is messy. Companies often have data spread across disconnected systems or workflows that nobody can fully explain. Adding AI to that situation doesn't solve the underlying problems. Caspar's take on job displacement is more nuanced than the usual predictions. He points out that people don't behave like purely rational economic actors, and there will probably always be value in human judgment and interpersonal work. Whether AI ends up replacing jobs or just changing them likely depends on choices people and organizations make, not just on what the technology can theoretically do. It's an honest look at where things actually stand rather than where we imagine they might be headed.




Watch it on YouTube here.

Listen on Apple Podcasts here.

Listen on Spotify here.

OTHER INTERESTING AI HIGHLIGHTS:


Shopify Sees AI Shopping Surge in 2025

/Sarah Perez, Consumer News Editor, on TechCrunch


Shopify reported a major rise in AI-driven shopping, with traffic from AI tools increasing sevenfold and orders up elevenfold since January. The company credits partnerships with OpenAI, Perplexity, and Microsoft Copilot for helping shape a new era of "agentic commerce" where AI agents assist users directly in chat. Shopify President Harley Finkelstein said AI now drives both customer tools and internal decisions. With most shoppers open to using AI when making purchases, Shopify is positioning itself at the forefront of this transformation in online retail.



Read more here.


Google makes AI Mode easier on iOS and Android

/Nick Kim Sexton, Senior Product Manager, Chrome, on Google Blogs – The Keyword


Google is expanding access to AI Mode in Chrome to make it easier for mobile users to explore complex topics. The new update adds an AI Mode button under the search bar in new tabs on iOS and Android, allowing for deeper and more intuitive queries. The feature is currently available in the United States and will soon reach 160 additional countries and languages including Hindi, Japanese, and Portuguese. This update strengthens Google’s effort to make AI-powered search seamless across all devices.



Read more here.

Source: Google
Source: Google

SOME AI TOOLS TO TRY OUT:


  • OdysseyGenerate interactive videos that respond as you type, instantly.

  • RunableCreate AI-powered slides, sites, reports, and podcasts in one place.

  • HyperlinkYour private, on-device AI that understands and cites your local files.

That’s a wrap on today’s Almost Daily craziness.


Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!



Wowza, Inc.

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.





Copyright Wowza, inc 2025
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