top of page
Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


We’re halfway there—how are you holding up?


As campuses step deeper into the generative era, a new report offers a grounded reminder: human connection still matters most. It shows that even as AI tools expand, students and educators continue to prioritize support, presence, and people-first learning.


Meanwhile... Disney and Universal are teaming up—not for a blockbuster, but to sue Midjourney. The studios say it’s copying iconic characters like Yoda and Buzz without permission.


And OpenAI just dropped an upgraded model built for complex tasks. It’s sharper in reasoning, but fair warning: it might run a little slower than the last.


Here's another crazy day in AI:

  • The limits of technology in college education

  • Studios slam Midjourney for copyright violations

  • OpenAI launches advanced o3-pro model

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Higher Ed Values Human Touch Over High Tech


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)


Are students and faculty choosing human connection over digital convenience in the age of generative technology?


A comprehensive new study from Tyton Partners reveals something unexpected happening in higher education: despite widespread adoption of generative tools, both students and faculty are increasingly gravitating toward face-to-face interaction and human-centered support. The research, featured by Ashley Mowreader in Inside Higher Ed, surveyed over 3,300 stakeholders across more than 900 U.S. colleges and universities to understand how institutions are navigating the balance between technological innovation and traditional pedagogical approaches.



Rather than a clear divide between digital tools and in-person support, the findings suggest a more nuanced reality:

  • Faculty are integrating generative AI into their workflow, particularly for administrative tasks and content preparation, yet many continue to value live instruction as essential to engagement.

  • Students report frequent use of AI for academic help, especially in writing and organization, while also seeking out more personalized, relationship-based support options.

  • Interest in services such as tutoring, advising, and mental health counseling is growing, especially those that emphasize direct human interaction.

  • Peer-to-peer support and staff-led initiatives are gaining traction, often filling gaps that digital tools can’t fully address.

  • Institutions are beginning to recognize that supporting students isn’t solely about adopting new technologies—it’s also about reinforcing access to people who understand the learning process.



The findings suggest we're witnessing something more complex than simple technology adoption or rejection. Students and faculty appear to be developing a sophisticated understanding of when digital tools serve them well and when human interaction proves irreplaceable. For quick answers and routine tasks, technology delivers efficiency. But for deeper understanding, emotional support, and navigating academic challenges, they consistently turn to other people. This pattern indicates that learning involves far more than information exchange—it requires the kind of responsive, empathetic interaction that emerges naturally in human relationships but remains difficult for even advanced technology to replicate.


What makes this research particularly valuable is how it challenges assumptions about digital natives and their relationship with technology. Rather than wholesale adoption or blanket resistance, we're seeing thoughtful discrimination in tool use. Students recognize that while generative AI might help them organize thoughts or generate initial drafts, working through confusion or building genuine mastery often requires the back-and-forth dialogue that happens in tutoring sessions, office hours, or study groups. Faculty, meanwhile, are discovering that sophisticated tools don't automatically reduce their teaching load—they often create new responsibilities around academic integrity, assessment design, and helping students learn to use these tools effectively. The data suggests that the future of higher education may not be about choosing between human connection and digital innovation, but about understanding how each serves different aspects of the learning experience.




Read the full article here.

Read the full report here.

OTHER INTERESTING AI HIGHLIGHTS:


Studios Slam Midjourney for Copyright Violations

/Blake Montgomery and agencies, on The Guardian


In a landmark case, Disney and Universal are suing Midjourney for alleged copyright infringement, accusing the AI image generator of replicating iconic characters like Yoda and Buzz Lightyear without permission. The studios claim Midjourney scraped and reused their content to train its model, calling the tool “a bottomless pit of plagiarism.” This marks one of the most aggressive legal challenges yet in the growing debate over generative AI and intellectual property. The case could set precedent for how copyright is enforced in the age of AI.



Read more here.


OpenAI Launches Advanced o3-pro Model

/Kyle Wiggers, AI Editor, on TechCrunch


OpenAI has launched o3-pro, its most advanced AI model yet, designed to improve on reasoning-heavy tasks like math, coding, and science. It replaces o1-pro for ChatGPT Pro and Team users, with stronger performance in benchmarks and enhanced capabilities like file analysis and visual input. However, it doesn’t support image generation or Canvas features and can be slower than earlier models. Still, reviewers rate it highest in clarity, accuracy, and instruction-following.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • Scoop Analytics – Turn data into explainable insights and smart predictions.

  • AI Sheets – Use AI in spreadsheets to analyze, automate, and generate content.

  • Omakase – Add a chat or voice AI widget to your site to handle customer questions.


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.


Just poking around the latest drops in tech before the day fully winds down.


Apple just revealed iOS 26 and iPadOS 26, and it’s either a generational leap or a stylish remix—depending on who you ask. Think “Liquid Glass” UI, smarter multitasking, and Apple-ified takes on Android staples like call screening.


Meanwhile, Google turned its quirky internal learning hub into a streamlined AI bootcamp. Is AI the entire syllabus now?


Not to be outdone, Meta’s pushing for superintelligence—with Zuckerberg handpicking the minds behind their next big moonshot.


Here's another crazy day in AI:

  • Everything new in Apple's iOS 26 and iPadOS 26

  • Google’s AI-first learning overhaul

  • Zuckerberg builds Meta’s superintelligence team

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Apple's Biggest Interface Shake-Up in Years


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)


Are we witnessing the biggest iPhone interface transformation since the original launch, or is Apple simply playing catch-up with features we've seen elsewhere?


Apple recently announced iOS 26 and iPadOS 26 at WWDC 2025, introducing what the company calls its most significant interface redesign in years. Julian Chokkattu, Senior Reviews Editor at WIRED, provides a detailed breakdown of the new “Liquid Glass” design language and a set of notable productivity improvements. The updates also bring Apple’s own versions of features that have long existed on Android devices, while finally introducing multitasking capabilities on the iPad that could reshape how it’s used day to day. One subtle but significant change: Apple is aligning all of its software version numbers with the calendar year—bringing naming consistency across iPhone, iPad, Mac, Apple Watch, and Vision Pro.




What’s new in iOS 26 and iPadOS 26? Here's what to watch for:

  • Liquid Glass UI: A sleek, semi-transparent visual overhaul that makes your screen feel like a moving pane of glass—with interactive lighting effects.

  • New Lock Screen Behavior: Dynamic time placement and 3D photo effects that respond to notifications.

  • Call Screening: Apple’s take on Google’s feature—answer unknown calls for you, then alert you with a transcript so you can decide whether to pick up.

  • Hold Assist: No more staring at your phone while on hold—your iPhone will let you know when someone finally answers.

  • Live Translation: Real-time voice and text translation across Messages, Phone, and FaceTime—even subtitles in video calls.

  • Visual Intelligence: Take a screenshot and instantly get contextual actions, like summarizing a PDF or searching for products online.

  • Group Messaging Upgrades: Typing indicators, polls, and emoji-mashups using Genmoji.

  • New Games App: Central hub for all your games, with social and leaderboard elements—plus controller support.

  • iPad-Specific Perks: True windowed multitasking, resizable and tiled apps—bringing iPad closer to desktop experience.

  • Bonus Upgrades: Smarter Reminders, enhanced Apple Maps, live updates in CarPlay, and audio/video features powered by AirPods.



Apple's latest announcements come at a time when the company has faced mounting pressure to innovate meaningfully in mobile computing. The Liquid Glass interface represents a bold departure from the minimalist design philosophy that has defined iOS for over a decade. While visually striking, it also raises questions about whether users want more visual complexity after years of simplified interfaces. The glass-like effects and enhanced animations could feel refreshing to some while overwhelming to others who prefer the current clean aesthetic.


The iPad improvements address longstanding criticisms about the device's professional capabilities. True window management and background processing could finally justify the "computer replacement" narrative that Apple has promoted for years. However, the success of these features depends heavily on how third-party developers adapt their applications to take advantage of the new windowing system. Many of the iPhone features, while useful, essentially bring Apple's ecosystem up to parity with capabilities that Android users have enjoyed for some time. The real test will be whether Apple's implementation proves more seamless and intuitive than existing alternatives, or if these updates simply represent the company catching up to established industry standards. When iOS 26 and iPadOS 26 launch this fall, users will discover whether these changes genuinely enhance their daily workflows or merely provide visual novelty.




Read the full article here.

Watch the full keynote here.

OTHER INTERESTING AI HIGHLIGHTS:


Google’s AI-First Learning Overhaul

/Jennifer Elias, Technology Reporter, on CNBC


Google has redesigned its internal learning platform, Grow, shifting away from a wide range of personal and professional development courses to focus almost entirely on artificial intelligence. Previously known for offerings like 3D printing or financial wellness, Grow now prioritizes AI training aligned with Google’s core business needs. The overhaul signals a broader trend: tech giants are racing to retool their workforces for the AI era, streamlining operations and cutting back on non-essential programs. Internal reactions show mixed feelings, with some employees lamenting the loss of unique perks in favor of strictly bottom-line-driven content.



Read more here.


Zuckerberg Builds Meta’s Superintelligence Team

/Kurt Wagner and Riley Griffin, on Bloomberg News


Mark Zuckerberg is taking a hands-on approach to building a new elite AI team at Meta, aiming to leapfrog competitors in the race toward artificial general intelligence. Dissatisfied with the performance of Meta’s Llama 4 model, Zuckerberg has begun recruiting talent personally—even hosting candidates at his homes—and is forming a 50-person “superintelligence” unit to push Meta’s AI capabilities further. The effort includes a potential multi-billion dollar investment in Scale AI, marking Meta’s biggest external deal to date. With aggressive capital spending and direct involvement, Zuckerberg is betting big on regaining the lead in the AI arms race.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • ChatBetter – Chat with all major AI models in one place.

  • Zeno – Turn YouTube videos into quick insights and curated learning.

  • Clockwise – Saves hours by managing calendar, meetings, and deep work blocks.


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.


Made it through the Monday blur? Same here. But the AI world’s already dissecting what’s holding GenAI back.


McKinsey’s team says too many AI programs crash because they aim high but forget how to scale. Their fix? Structure from day one.


Then there's Usama Fayyad, arguing the one-model-fits-all mindset is the wrong path—and that smaller, tailored AI works better in practice.


And speaking of bold moves, Apple is quietly stepping back into the AI spotlight with its new, ultra-efficient image generator that skips diffusion altogether.


Here's another crazy day in AI:

  • Why your GenAI plans keep stalling

  • AI expert says one-model approach is the wrong path

  • Apple debuts image tech to compete with top image tools

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Lessons From GenAI Missteps


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 happens when companies invest millions in genAI only to watch their projects collapse under the weight of compliance hurdles and scaling challenges?


In a new article published by McKinsey Digital, authors Curt Jacobsen, Erik Witte, Kaz Kazmier, and Oscar Villarreal—all McKinsey Partners—explore two major pitfalls that frequently derail generative AI programs: the failure to innovate and the failure to scale. Drawing on their work with over 150 companies, they unpack why promising projects often stall and share practical solutions for designing scalable, secure, and truly innovative genAI platforms.


The authors offer insights that reflect both the promise and the challenge of building enterprise-wide generative AI systems. Rather than zeroing in on model performance or toolkits, they draw attention to the broader organizational dynamics—how leadership, coordination, and infrastructure decisions play a critical role in whether genAI delivers real business value or fades into the background.



Some of the core ideas they bring forward include:

  • Innovation often stalls because teams are limited to isolated use cases that don’t connect to broader goals

  • Many platforms are built ad hoc, without a clear architecture that supports growth and reuse

  • Security, governance, and compliance concerns tend to surface too late, disrupting momentum

  • A coordinated platform vision, aligned across teams, leads to faster scaling and more consistent results

  • The most effective organizations are those that view genAI not as a side project, but as a strategic discipline


These observations point to a deeper challenge: it’s not just about having the right tools or talent, but creating an environment where different teams can build on each other’s work without starting from scratch every time. When generative AI is rolled out in isolated pockets or through one-off pilots, the early promise rarely translates into lasting progress.


The takeaway here isn’t a set of quick fixes, but a prompt to reflect on how genAI is being positioned within the broader enterprise. Are teams solving for short-term wins, or are they investing in a foundation that allows experimentation to evolve into capability? What emerges from this piece is a sense that while the technology is moving quickly, the hard part often lies in the organizational work behind the scenes. And that’s where long-term value is either built—or lost.




Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:


AI Expert Says One-Model Approach Is the Wrong Path

/Cesareo Contreras, Reporter, on Northeastern Global News


Instead of rushing to implement massive, general-purpose AI models, businesses should focus on small, efficient models tailored to their specific needs. Usama Fayyad argues that the "one-model-fits-all" mindset—so popular in generative AI—misses the mark for most business applications. At the recent AI in Action Summit, he emphasized how smaller, private, and customizable models provide better performance, data control, and real-world value. Fayyad also called for greater AI literacy, data fluency, and thoughtful regulation to ensure ethical deployment.



Read more here.


Apple Debuts Image Tech to Compete with Top Image Tools

/Michael Nuñez, Editorial Director, on VentureBeat


Apple has introduced STARFlow, a breakthrough AI image generator that competes with leading models like DALL-E—without using diffusion. Developed in collaboration with university researchers, STARFlow uses normalizing flows and autoregressive transformers to generate high-res images efficiently. This marks Apple’s bold step toward regaining its AI edge, with innovations that support on-device intelligence and enterprise-level precision. Whether STARFlow evolves into a consumer-facing product remains to be seen, but it signals Apple’s commitment to unique, research-driven AI.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • Betterfeedback – Turns surveys into natural chats that ask smarter follow-ups.

  • Substrata – Reads real-time cues to help you sell smarter and close more deals.

  • Eleven v3 – Converts text into expressive, multi-speaker speech in 70+ languages.


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
bottom of page