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Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


Still easing back into the week? Whether you're wrapping up Monday or still replaying your weekend, the AI world didn’t hit snooze. Big moves are already dropping.


Claude 4 is out, and it’s a powerhouse—boosted reasoning, longer memory, and way fewer “Sorry, I forgot” moments. Imagine your AI showing up to work... and actually remembering what you talked about last week.


Meanwhile, Toyota’s going full throttle on AI. They're training engineers to blend code with cars and reimagining mobility from the ground up.


And yes, AI is everywhere online—but are we really paying attention? A new study says most people see it in passing… but only a few stick around to dig in.


Here's another crazy day in AI:

  • Claude Opus and Sonnet released

  • Toyota expands AI education with new group-wide initiative

  • Pew Research explores how Americans encounter AI online

  • Some AI tools to try out


TODAY'S FEATURED ITEM: What Claude 4 Can Do


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)


What would it take for an AI model to become your most trusted collaborator—for hours at a time, across tools, projects, and codebases?


Anthropic has just introduced Claude 4, their most ambitious model release yet, with two standout variants: Claude Opus 4 and Claude Sonnet 4. These models raise the bar for advanced reasoning, coding performance, and agentic workflows. This update marks a notable step forward in the development of high-performance, context-aware AI systems. Claude Opus 4 is now positioned as the most capable coding model available, while Claude Sonnet 4 brings meaningful improvements over its predecessor, especially in reasoning and instruction-following.



Here are a few things to note from this release:

  • Opus 4 leads in coding and logic benchmarks, outperforming GPT-4 and Gemini 1.5 Pro across multiple evaluations.

  • Sonnet 4 strikes a balance between speed and smarts, offering a faster response time with stronger reasoning skills than the previous Sonnet model.

  • Improvements in memory capabilities make Claude more consistent across sessions—something especially useful in ongoing or complex workflows.

  • New tool use features are being piloted, enabling Claude to take actions like calling APIs and browsing the web.

  • The launch includes a new iOS app and API enhancements, signaling a move toward broader and more seamless access.


Claude 4 models deliver strong performance across coding, reasoning, multimodal capabilities, and agentic tasks. See appendix for more on methodology. | Source: Anthropic
Claude 4 models deliver strong performance across coding, reasoning, multimodal capabilities, and agentic tasks. See appendix for more on methodology. | Source: Anthropic

This release doesn’t just offer a bump in performance... it nudges the conversation toward how AI models can fit more naturally into everyday workflows. With features like longer context windows, early memory functions, and tool integration on the horizon, Claude is becoming less of a one-off assistant and more of a steady presence in technical and collaborative environments.


That said, while the performance claims are impressive, the long-term usefulness of these models will depend on how reliably they work in real-world conditions—over time, across tasks, and with a variety of users. As developers, researchers, and teams start using Claude 4 more regularly, we’ll get a clearer view of whether it can live up to the role of “trusted collaborator.” For now, it’s a notable step in that direction, with signs that Anthropic is investing in stability, usability, and thoughtful integration—not just speed or scale.




Read the full announcement here.

OTHER INTERESTING AI HIGHLIGHTS:


Toyota Expands AI Education With New Group-Wide Initiative

/Toyota Global Newsroom


Toyota and four of its group companies—AISIN, DENSO, Toyota Tsusho, and Woven by Toyota—have launched a collaborative initiative to advance AI innovation and talent development. The effort includes two major components: the Toyota Software Academy, offering 100+ courses on AI, data security, and hands-on vehicle programming; and GAIA (Global AI Accelerator), a major investment in AI research and product development across 11 priority areas. Both aim to prepare engineers for the next generation of intelligent mobility, with training tailored to blend software and hardware expertise. Leaders from all five companies emphasized their shared goal: shaping a future of safe, human-centered mobility.



Read more here.


Pew Research Explores How Americans Encounter AI Online

/Athena Chapekis, Anna Lieb, Sono Shah, and Aaron Smith, on Pew Research Center


A new Pew Research Center study analyzing 2.5 million web page visits reveals how AI-related content is increasingly present—but not always prominent—in Americans’ online activity. Nearly all participants encountered AI-related terms in their browsing, especially through search results and product pages. However, only 8% viewed in-depth news articles focused on AI, and just 13% visited websites of generative AI tools like ChatGPT or Gemini. The findings suggest that while AI references are ubiquitous online, deeper engagement remains limited to a smaller group of users.



Read more here.

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SOME AI TOOLS TO TRY OUT:


  • Document AI Mistral’s tool for extracting text from documents.

  • SMMAI – Create minimalistic professional banners for your social profiles with AI.

  • LLMrefs – Tracks brand’s visibility across ChatGPT, Gemini, and other AI search results.


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.


Before the weekend takes over, here’s a thought: AI literacy is no longer optional, it’s core.

World Economic Forum's Education 4.0 Manager breaks down the AI Literacy Framework designed to prepare us all for a future where AI is everywhere—fair, ethical, and creative.


And AI research tools? They’re now capable of delivering deep dives in minutes. Plus, Google’s new Ultra plan are here to fuel your curiosity and productivity.


Time to relax—after you soak that in.


Here's another crazy day in AI:

  • Education’s next essential skillset

  • How to use AI for deep-dive research

  • Google introduces AI Ultra with premium AI experiences

  • Some AI tools to try out


TODAY'S FEATURED ITEM: A Framework for the Future of Learning


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 do we prepare students for a future shaped by artificial intelligence—when the future is already here?


The World Economic Forum's Tanya Milberg tackles this pressing question in her recent piece about the urgent need for comprehensive literacy programs in our education systems. She argues that AI literacy must become a core educational competency, not just an optional upgrade. This article introduces the AI Literacy Framework (AILit)—a collaborative effort by the European Commission, OECD, Code.org, and global experts. The framework offers a roadmap for equipping learners with the knowledge, skills, and mindsets they need to engage with AI critically, ethically, and creatively across disciplines.


Milberg underscores that artificial intelligence is now a constant presence in our lives—reshaping how we work, learn, and communicate. But while technology evolves rapidly, educational systems often struggle to keep pace. The AILit Framework is designed to bridge that growing gap by offering practical, classroom-ready guidance for educators across all subjects—not just computer science. With AI tools increasingly present in classrooms and students already experimenting with them independently, the framework aims to support responsible engagement starting at the primary and secondary levels.


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What the framework brings to the table:

  • Four focus areas: engaging with, creating with, managing, and designing AI

  • A set of 23 competencies adaptable to different subjects and educational levels

  • Global alignment with initiatives like AI4K12 and DigComp

  • Emphasis on ethical reasoning, collaboration, and responsible innovation

  • Open for public input until late 2025 to refine and localize its content


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As the line between digital fluency and foundational literacy continues to blur, this framework arrives at a critical moment. It's not simply about teaching students how AI tools function, but also helping them build confidence in navigating a world where these tools increasingly shape their environments—socially, academically, and professionally.


At the same time, the framework doesn’t offer a fixed curriculum or one-size-fits-all strategy. It acknowledges the reality that schools vary in resources, priorities, and local needs. What it does provide is a shared reference point—one that invites collaboration among policymakers, teachers, and communities. By encouraging thoughtful experimentation and adaptation, the framework supports a more inclusive, future-aware approach to education.




Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:


How to Use AI for Deep-Dive Research

/Jeremy Caplan, Director of Teaching and Learning, CUNY, on Fast Company


The landscape of AI search is evolving rapidly, offering new tools like ChatGPT, Gemini, and Perplexity that go beyond answering quick questions to generating in-depth, citation-rich research reports in minutes. Jeremy Caplan shares nine practical ways to harness these tools — from building custom travel itineraries and decoding cultural works, to analyzing controversies and exploring historical events. Deep Research helps users conduct comprehensive investigations that traditionally took hours or days. With the right prompts and a thoughtful approach, AI becomes a powerful partner in information gathering.



Read more here.


Google Introduces AI Ultra with Premium AI Experiences

/Shimrit Ben-Yair, Vice President, Google Photos & Google One, on Google Blog – The Keyword


Google has launched Google AI Ultra, its most advanced subscription plan yet, offering access to top-tier tools like Veo 3 for video creation, Deep Think in Gemini 2.5 Pro, and Project Mariner for multitasking research. For $249.99/month (or $124.99 for the first 3 months), users also get the highest usage limits across AI tools including Flow, Whisk, and NotebookLM, plus YouTube Premium and 30TB of storage. The Ultra tier targets power users—filmmakers, developers, and researchers—who need cutting-edge AI capabilities for their creative and professional workflows. It’s a major leap forward in Google’s AI offerings, aimed at giving VIP-level access to the future of productivity.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • Mitsuko – AI-powered subtitle translator and audio transcriber that understands context.

  • TeraBox – Enhance academic papers and presentations with AI.

  • S(ai)na – Automates candidate interviews and ranks them instantly for faster hiring.


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.


Heading into the weekend, but not before this:


Still wondering why your org’s AI rollout feels like a flop? Ethan Mollick says it’s not the tech—it’s the way we lead, collaborate, and adapt. His new blog offers a reality check (and a roadmap) for companies that want real results.


Still curious? GenAI myths are holding teams back. One expert sets the record straight.


Oh, and OpenAI’s new engineering agent can debug, push code, and submit pull requests… all before you finish your coffee.


Here's another crazy day in AI:

  • Unlocking AI’s impact beyond individuals

  • Busting common GenAI myths in sales and marketing

  • OpenAI launches Codex for AI-powered coding in ChatGPT

  • Some AI tools to try out


TODAY'S FEATURED ITEM: From Personal Gains to Organizational Change


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)


Why are individual workers seeing massive productivity gains from AI while companies struggle to capture meaningful organizational benefits?


This question sits at the heart of Ethan Mollick's latest analysis from his One Useful Thing newsletter. Mollick, a Professor at the Wharton School who studies entrepreneurship and innovation, spent extensive time talking with organizations across different industries to understand what's really happening with AI adoption. What he found reveals a significant disconnect between individual successes and broader organizational outcomes.


In many workplaces, people are quietly using AI to streamline tasks, improve creativity, and work more efficiently. The benefits are clear at the individual level. But at the organizational level, those gains rarely add up to systemic change. Leaders often know AI is important, and they’re taking steps—running pilots, setting guidelines, forming task forces. Still, the results feel uneven, and momentum stalls.


What’s surfacing from Mollick’s conversations is less about the tools themselves and more about how organizations are (or aren’t) making space for new ways of working to take root.


Image Credit: Ethan Mollick, One Useful Thing
Image Credit: Ethan Mollick, One Useful Thing

What’s inside:

  • Many workers say AI has dramatically improved their speed and output—but these gains rarely show up in overall company performance.

  • Why? Because individual AI wins don’t automatically scale into systemic gains.

  • Mollick proposes a three-part formula for change: Leadership, Lab, and Crowd.

  • Leadership must go beyond urgent memos to paint a vivid picture of what AI-powered work looks like.

  • The Lab is where new AI-human workflows are tested and refined—it’s about building better processes, not just faster ones.

  • And the Crowd—your employees—are often ahead of the curve, experimenting in secret or unsure how to share their discoveries.

  • Solving for secrecy, fear, and unclear incentives is essential. Companies need to invite, reward, and learn from ground-up innovation.


Results from this recent survey on AI use by a representative sample of American workers: adoption has been accelerating, and workers report huge time savings | Screenshots from Ethan Mollick
Results from this recent survey on AI use by a representative sample of American workers: adoption has been accelerating, and workers report huge time savings | Screenshots from Ethan Mollick

How companies can close the gap between potential and progress:

  • AI use is widespread, but often hidden—many workers fear backlash or job cuts if they reveal just how much AI helps.

  • Official AI programs often see low engagement—because they miss how real learning and experimentation happen.

  • Leadership should shift focus from rules to permission, from vision to experiences, and from fear to incentives.

  • The most promising gains come when teams reorganize themselves—collapsing silos and “vibeworking” across functions.

  • There’s no playbook—every company has to prototype its own path, faster than the rest.


Image Credit: Ethan Mollick, One Useful Thing
Image Credit: Ethan Mollick, One Useful Thing

The real challenge isn’t just about the technology—it’s how organizations respond to change. Supporting small experiments, paying attention to what’s already working, and keeping communication open are key steps forward. Instead of waiting for perfect answers, embracing learning as you go can lead to new opportunities.


Mollick’s insights remind us that progress often happens quietly, through individuals finding better ways to work. Recognizing and building on those moments can help close the gap between individual wins and broader organizational impact.


Looking ahead, it’s less about the tools themselves and more about shifting mindsets and cultures to make the most of them. This takes patience, openness, and a focus on everyday improvements—even when they don’t immediately show up in big numbers.




Read the full blog here.

OTHER INTERESTING AI HIGHLIGHTS:


Busting Common Gen AI Myths in Sales and Marketing

/University of Texas at Austin, on Phys.org


Generative AI holds enormous promise for sales and marketing—but misconceptions are holding many teams back. In an interview with the University of Texas at Austin, Professor Doug Chung explains five persistent myths, such as “gen AI takes too long to implement” and “you need massive data to make it work.” He shares why smaller businesses can still benefit, how to get started without overhauling everything, and why perfection shouldn't be the goal. Think MVP, not flawless AI—and start now.



Read more here.


OpenAI Launches Codex for AI-Powered Coding in ChatGPT

/OpenAI


OpenAI just launched Codex, a powerful cloud-based software engineering agent available within ChatGPT for Pro, Team, and Enterprise users. Codex can handle multiple coding tasks in parallel, from writing features and debugging to submitting PRs—all within an isolated, secure cloud environment. Powered by codex-1 and optimized for real-world dev workflows, it integrates directly with your codebase, and logs every step for transparency. It marks a big leap in how AI will support and accelerate software engineering.



Read more here.


SOME AI TOOLS TO TRY OUT:


  • DropFlow – Extracts and summarizes emails into actionable insights.

  • Snapdeck – Instantly generate slides in Figma with AI.

  • Extrovert – Centralizes LinkedIn posts and helps you write personalized comments.


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.





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