Another Crazy Day in AI 10/109

Another Crazy Day in AI: Canva Drops 9 Game-Changing Tools

Nov 7, 2025
4 min read

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:

Arcitext – Analyze your text and capture your brand’s unique writing style.
Peakflo – Human-like AI agents handle calls, outreach, and customer service at scale.
Excelmatic – Turn 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!!!

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: The Invisible Army Behind AI

Nov 6, 2025
5 min read

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

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.

SOME AI TOOLS TO TRY OUT:

Odyssey – Generate interactive videos that respond as you type, instantly.
Runable – Create AI-powered slides, sites, reports, and podcasts in one place.
Hyperlink – Your 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!!!

Another Crazy Day in AI: What Hospitals Actually Need from Technology

Nov 5, 2025
4 min read

Hello, AI Enthusiasts.

Halfway there. If your week’s been busy, so has AI’s.

In a recent podcast from J.P. Morgan, Michael Gao of Smarter Technologies shares how AI is evolving from assisting with paperwork to supporting real medical reasoning. As both a doctor and technologist, he bridges the gap between innovation and bedside care.

And outside the clinic, Walmart’s bringing that same smart assist to shopping with five new AI-powered tools designed to make in-store trips faster and easier.

But not everyone’s in sync — Amazon just told AI startup Perplexity to quit letting its browser assistant shop on its platform. Perplexity’s calling it “bullying.” Amazon calls it unauthorized. The rest of us just want to check out in peace.

Here's another crazy day in AI:

How healthcare systems are finally seeing real ROI
Walmart brings AI to your next shopping trip
Perplexity calls Amazon’s legal move “bullying”
Some AI tools to try out

TODAY'S FEATURED ITEM: From Paper Charts to Intelligent Systems

Image Credit: Wowza (created with Ideogram)

Can artificial intelligence actually fix healthcare's broken economics, or is it just another empty promise?

In a recent episode of What’s the Deal? by J.P. Morgan, host Nick Richitt talks with Michael Gao, president of Smarter Technologies and co-founder of Smarter DX, about how advanced systems are being used to understand the reasoning behind medical decisions. The discussion explores how healthcare is evolving from basic digitization toward more intelligent support—where technology can interpret complex clinical data, improve documentation accuracy, and help hospitals work more efficiently. Gao, a physician himself, brings a unique view from both the medical and technical sides of healthcare innovation.

Points worth noting from the discussion

Earlier healthcare systems focused mainly on digitizing manual work but didn’t lessen the mental and administrative strain on clinicians.
Intelligent systems are now being developed to interpret medical data such as lab results, medications, and patient vitals, improving accuracy in both documentation and billing.
Hospitals using these platforms have seen measurable improvements in efficiency and operational margins.
Complete automation remains impractical—human oversight continues to play an essential role in ensuring reliability and accuracy.
Health organizations are increasingly drawn to integrated technology platforms that can address multiple needs under one system.
Embedding intelligent systems into everyday clinical workflows has proven more effective than using standalone tools.
Transparency, auditability, and provider control are central to building and maintaining trust in these technologies.
There’s growing interest in how such systems might eventually allow more resources to be directed toward patient care and medical research.

This conversation paints a pretty honest picture of where things actually stand. The billing and documentation improvements are real and measurable right now. Hospitals can track the financial impact, which matters when you're running on thin margins. But there's clearly some distance between fixing administrative headaches and revolutionizing how we discover new treatments. Those bigger possibilities get talked about a lot, but they're still mostly in the "wouldn't it be great if" category. It makes you wonder whether solving today's operational problems naturally leads to tomorrow's breakthroughs, or if those are entirely separate challenges that just happen to use similar technology.

One thing that comes through clearly is how much work these implementations actually require. They're not plug-and-play solutions. Healthcare systems need to invest time and resources into making them work, and technology companies need constant feedback to improve their models. That ongoing partnership might be manageable for large hospital networks with dedicated teams, but smaller healthcare organizations face a different reality. They're dealing with the same tight margins and staffing challenges, but with fewer resources to dedicate to technology partnerships. Whether this approach can scale across the full spectrum of healthcare providers is still an unanswered question. The early results look encouraging, but the real test will be how broadly these benefits can reach.

Watch it on YouTube here.

Listen on Apple Podcasts here.

Listen on Spotify here.

OTHER INTERESTING AI HIGHLIGHTS:

Walmart Brings AI To Your Next Shopping Trip

/Kim Souza, Journalist, on Talk Business & Politics

Walmart is rolling out five new AI-powered tools in its app to make in-store shopping easier and more engaging. The retailer says customers who use the app while shopping spend 25% more on average, and these new features aim to enhance that experience. From localized savings and voice summaries of product reviews to real-time item locations, the tools are designed to save time and add convenience. Walmart hopes the update will draw more people back to physical stores during the holiday season.

Read more here.

Perplexity Calls Amazon’s Legal Move “Bullying”

/Ashley Capoot (Reporter) and Annie Palmer (Technology Reporter), on CNBC

AI startup Perplexity says Amazon sent a cease-and-desist letter demanding it block users from making purchases through its Comet browser assistant. Perplexity called the move “bullying,” arguing that its tool enhances the shopping experience rather than harms it. Amazon, however, claims Perplexity’s agents access its platform without authorization and degrade the shopping experience. The clash highlights growing tensions between AI startups and major platforms as both push for control over the future of digital shopping.

Read more here.

SOME AI TOOLS TO TRY OUT:

Weavy – Now part of Figma, it generates and edits AI images and videos layer by layer.
Devin – The AI engineer now controls your computer and records its work for review.
Alai – Turns your ideas into polished, professional presentations in seconds.

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!!!