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Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.


As your inbox fills and coffee kicks in, here’s how AI spent its weekend: helping businesses scale, solving elite math problems, and getting serious about data control.


New research shows small and mid-sized businesses using AI in marketing are saving serious time and money... up to 13 hours a week per person and thousands per month! Still, most are just scratching the surface.


In another win for machines, DeepMind’s Gemini just aced Olympiad-level math. OpenAI’s model matched it, too, even if it didn’t enter officially.


HCLSoftware just launched a platform that brings AI to governments and tightly regulated sectors without crossing legal lines.


Here's another crazy day in AI:

  • SMB marketers gain 13 hours weekly through automation

  • Top AI models compete on elite math problems

  • HCL debuts sovereign AI for secure workloads

  • Some AI tools to try out


TODAY'S FEATURED ITEM: How SMBs Are Using AI to Compete Smarter

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)


Would you trust a machine if it gave you back 13 hours of your week?



For small and medium-sized businesses, that’s becoming less hypothetical and more like Monday.


In a recent Forbes article, contributor Ron Schmelzer explores a new study from ActiveCampaign, conducted with Talker Research, that looks closely at how AI tools are being used by small and medium-sized businesses (SMBs). The report, based on responses from 1,000 marketers, found that those who integrate AI into their marketing processes are saving significant time and money—up to 13 hours per person each week and nearly $5,000 per team each month. But while the benefits are clear, the study also reveals that full adoption is still limited.


Source: ActiveCampaign, 13 hours back each week
Source: ActiveCampaign, 13 hours back each week

What the data shows:

  • 82% of marketers surveyed have used AI for at least one task

  • Only 23% currently apply AI throughout their entire marketing process

  • Teams using AI daily report nearly 15 hours saved weekly and over $5,000 in monthly cost savings

  • Most marketers use AI for idea generation, but fewer apply it to campaign measurement

  • Small teams using AI consistently report increased confidence and competitiveness

  • Businesses that communicate openly about their AI use tend to see more positive responses from customers

  • Competitors like HubSpot and Mailchimp are also introducing AI features aimed at small teams

  • 97% of marketers say AI has already influenced how they approach their work


Source: ActiveCampaign, 13 hours back each week
Source: ActiveCampaign, 13 hours back each week

The research paints an interesting picture of where small business marketing stands right now. While the technology clearly offers substantial benefits, there’s still a significant gap between early experimentation and full integration. Most marketers are dipping their toes in the water rather than diving in completely, which suggests there’s still untapped potential waiting to be realized.


What makes this particularly relevant is how it challenges some assumptions about small business limitations. The data shows that size might actually be an advantage when it comes to implementing new marketing technologies. Smaller teams can often move faster, make decisions quicker, and adapt their processes more easily than larger organizations with complex approval chains and established workflows. The companies that are being transparent about their use of these tools are also discovering that customers generally respond positively when they understand how automation is being used to improve their experience rather than simply cut costs.



Read the full article here.

Get a copy of the report here.

OTHER INTERESTING AI HIGHLIGHTS:


Top AI Models Compete on Elite Math Problems

/Megan Morrone, (Editor of Technology), on Axios Newsroom


Google DeepMind and OpenAI both achieved gold medal–level performance on this year’s International Mathematical Olympiad (IMO) problems—but only Google’s entry was official. DeepMind’s Gemini model earned a perfect score on five of six math problems, while OpenAI matched that performance in an unofficial test. The competition illustrates just how fast general-purpose AI models are advancing in reasoning and symbolic logic. While neither company framed it as AI vs. humans, the models' gold-medal results mark a leap in AI’s ability to tackle elite math challenges.



Read more here.


HCL Debuts Sovereign AI for Secure Workloads

/Ben Craske, (Web Content Editor at BizClik Media), on Data Centre Magazine


HCLSoftware has launched Domino 14.5, a sovereign AI platform designed for governments and highly regulated industries seeking full control over their data. Built in partnership with European cloud provider IONOS, the platform supports AI workloads in strict compliance with laws like the European AI Act. It allows agencies to deploy AI tools—such as secure document automation and internal chat—without risking exposure to foreign cloud providers. With more than 200 government agencies already onboard, Domino 14.5 signals a major step forward in sovereign AI adoption.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • Humata – Understand your files and extract data from them with AI.

  • Videotowords – Convert video and audio to text in seconds, right in your browser.

  • IdeaApe – AI-powered market research using Reddit data to uncover what people really think.


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 you shut the laptop or scroll into the weekend—how did this week treat you?


If it involved staring at hours of video trying to find that one moment, Amazon just made your life easier. They’ve launched two new AI models that help machines “watch” and understand video. Now you can search footage the way you’d ask a friend: “When was the first touchdown?”


While Amazon is teaching machines to watch, Netflix is letting them create. They recently used generative AI to crush a building (in a show) to help cut production costs.


But beyond video and visuals, AI is getting personal... Claude’s team sat down to reflect on how people are turning to it for emotional support and what that means for building safer, more thoughtful systems.


From movie recs to travel tips, AI might just be your low-key weekend sidekick.


Here's another crazy day in AI:

  • Amazon Bedrock launches video understanding tools

  • Netflix turns to AI effects in bid to slash costs

  • Claude’s affective turn raises big AI questions

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Amazon Delivers TwelveLabs Video Technology

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)


Have you ever spent hours scrubbing through video footage looking for one specific moment that you know exists somewhere in there?



Channy Yun, Principal Developer Advocate at AWS, shares an update on the availability of TwelveLabs video understanding models—Marengo and Pegasus—on Amazon Bedrock. These models are designed to help users work with video in more flexible, precise ways: finding specific scenes, summarizing content, or generating insights using natural language prompts. Instead of manually tagging footage or fast-forwarding through timelines, teams can now search and analyze video through text-based queries. It’s a development that could ease the strain for anyone handling large volumes of video and trying to make sense of it efficiently.



Notable capabilities include:

  • Searching video content through conversational queries like "find the first product demonstration" rather than scrubbing through timelines manually

  • Generating automatic descriptions, chapter markers, and metadata from visual content without pre-existing tags

  • Processing both individual files and extensive video collections while working within established AWS security frameworks

  • Supporting multiple input methods including Amazon S3 storage and direct video uploads to accommodate different workflows

  • Creating searchable databases from video archives, making visual content behave more like structured text data

  • Recognizing patterns and themes across multiple video sources for content analysis and operational insights

  • Producing detailed, timestamped summaries that capture both visual events and their chronological context

  • Integrating with existing AWS infrastructure through Amazon Bedrock's unified API system



The models address a genuine problem many organizations face today. Video content continues to grow exponentially, but the tools for organizing and retrieving specific information from that content haven't evolved at the same pace. Traditional approaches rely heavily on manual annotation or rigid categorization systems that work well for small libraries but become cumbersome when dealing with thousands of hours of footage. The ability to query video content using natural language could genuinely change how teams approach content management, from media production to corporate training programs.


Yet implementation questions remain. While the technology promises to streamline video workflows, organizations will need to evaluate whether the learning curve and integration costs justify the benefits for their specific use cases. The effectiveness of natural language processing can vary significantly depending on content type, video quality, and industry-specific terminology. Early adopters will essentially be testing how well these models perform across diverse scenarios and whether they can handle the nuanced queries that real-world applications demand. The broader availability across AWS regions suggests readiness for production use, but the true measure of success will be how well these tools adapt to the messy, unstructured nature of actual video libraries that organizations have accumulated over years.



Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:


Netflix Turns to AI Effects in Bid to Slash Costs

/Osmond Chia, Business Reporter, on BBC News


Netflix has used generative AI to create visual effects in a TV series for the first time, deploying it in The Eternaut to portray a collapsing building. Co-CEO Ted Sarandos said the move made advanced effects accessible to lower-budget productions, cutting time and costs significantly. While creators were reportedly thrilled with the results, the use of AI in filmmaking remains controversial due to concerns about artistic integrity and job displacement. The decision comes as Netflix reports a major revenue boost and growing interest in AI tools across the entertainment industry.



Read more here.


Claude’s Affective Turn Raises Big AI Questions

/Julian Horsey, Author, on Geeky Gadgets


Anthropic’s Claude is quietly becoming an unexpected source of emotional support for users, offering advice on relationships, parenting, and career dilemmas. Although originally designed for professional use, Claude is now fielding deeply personal queries—prompting the Anthropic team to sit down for a candid discussion about how the chatbot is being used. They’ve begun refining safeguards and working with clinical experts, while using privacy-preserving tools to monitor interactions without compromising data. This shift raises important questions about where we draw the line between AI as a tool and AI as a companion.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • Intellisay – Talk through your day, get an optimized plan in 2 minutes.

  • Memno – Remembers and handles daily tasks, messages, meetings, and reminders, 24/7.

  • Kawara – Turns YouTube videos into near-ready newsletter drafts, tailored for engagement.


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.


The inbox is (mostly) quiet, and the weekend is within reach. But one update’s too big to miss.


OpenAI just turned ChatGPT into an agent that works for you. It can handle real tasks solo: open your GitHub, fill your spreadsheet, check your Gmail. It's like giving ChatGPT a desk and a mouse.


While OpenAI is building agents, Meta is busy building its Avengers, starting with ex-Apple minds, and doubling down on the whole “superintelligence” thing.


Meanwhile, at a summit in Pittsburgh, the President is betting $90B that AI and steel can shape America’s next industrial boom, backed by energy firms and tech CEOs.


The bots may not sleep, but you should. See you next scroll.


Here's another crazy day in AI:

  • ChatGPT Agent can now do the work for you

  • Meta adds two former Apple scientists to superintelligence push

  • Trump pushes $90 billion AI and Energy initiative at Pittsburgh Summit

  • Some AI tools to try out


TODAY'S FEATURED ITEM: Agent Mode: From Chat to Getting Things Done

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 your chatbot gets its own computer and starts doing your job for you?



OpenAI has introduced a major update to ChatGPT: a new agentic system that enables the model to complete complex tasks on your behalf using its own virtual computer. This new capability, called agent mode, allows ChatGPT to go beyond conversation, interacting with websites, analyzing data, creating editable documents, and pulling relevant information from connected apps like Gmail or GitHub. It’s the result of combining earlier tools like Operator and deep research into one cohesive experience, making ChatGPT more useful in both everyday life and professional work.



The update is now available to Pro, Plus, and Team users and marks a significant step in making large language models more action-oriented. Rather than relying solely on user-driven prompting, the agent can choose how to complete a task by selecting from a set of built-in tools like a web browser, code terminal, spreadsheet editor, and API access, and intelligently navigating those tools based on the task at hand.



How It Actually Works

  • End-to-end task completion - Request something like "analyze our top three competitors and create a presentation" or "plan a dinner party for eight people and order the ingredients" and ChatGPT manages the entire process from research to final delivery

  • Adaptive approach selection - The system chooses the most effective method for each step, switching between visual web browsing, text analysis, code execution, or API calls as needed

  • Continuous user control - You can step in at any point to redirect the process, take over the browser yourself, or halt the task, with ChatGPT requesting permission before taking consequential actions

  • Documented performance results - Testing demonstrated 41.6% accuracy on Humanity's Last Exam and 27.4% on FrontierMath, with results often comparable to human performance on complex professional tasks

  • Direct app connectivity - Integrates with existing ChatGPT connectors and can securely authenticate to websites when access to personal information is required

  • Multi-layered safety protocols - OpenAI has implemented defenses against prompt injection attacks and requires explicit user approval for actions like purchases or sending emails



The practical implications of this development are worth examining carefully. We're looking at a system that can handle the kind of multi-step, cross-platform work that typically requires significant time and attention from knowledge workers. Many professionals spend substantial portions of their day gathering information from various sources, synthesizing it, and then creating deliverables. Having a system that can autonomously manage these workflows represents a meaningful change in how digital work might be approached, though it also brings questions about oversight, quality assurance, and the evolving nature of professional roles.



What makes this particularly noteworthy is the breadth of its deployment. Unlike previous AI agents that were confined to research settings or limited user groups, this is rolling out to millions of existing ChatGPT users. The safety measures OpenAI has implemented suggest they recognize the responsibility that comes with releasing a system capable of taking real-world actions. The performance benchmarks indicate genuine capability, but the real evaluation will be how well it handles the unpredictable, often messy nature of actual work environments. As users begin to experiment with these capabilities, we'll likely see both creative applications and unforeseen challenges emerge, providing valuable insights into how agentic AI systems perform when deployed at scale in real-world contexts.




Read the full article here.

OTHER INTERESTING AI HIGHLIGHTS:


Meta Adds Two Former Apple Scientists to Superintelligence Push

/Reuters


Meta has hired two Apple AI researchers, Mark Lee and Tom Gunter, for its new Superintelligence Labs team, signaling an aggressive push to attract top talent in artificial intelligence. Their move follows the recent defection of Ruoming Pang, who led Apple’s Foundation Models team, reportedly for a multi-million-dollar package. Meta CEO Mark Zuckerberg is personally driving the company’s AI expansion, pledging massive investment in data centers and talent. The hires reflect a broader trend of tech giants racing to build teams capable of developing AI systems that may surpass human intelligence.



Read more here.


Trump Pushes $90 Billion AI and Energy Initiative at Pittsburgh Summit

/Jessica Guay, Andy Sheehan, Jessica Riley, Michael Guise, on CBS Pittsburgh


At a summit in Pittsburgh, President Trump unveiled over $90 billion in AI and energy investments for Pennsylvania, backed by 20 leading tech and energy firms. The initiative includes building data centers, training workers for AI and energy jobs, and positioning Pittsburgh as a national hub for artificial intelligence. Trump called it the largest investment package in the state's history, highlighting partnerships with companies like Westinghouse and Nippon Steel. Despite protests, the event brought together major political leaders and tech CEOs to outline a vision for America’s AI-powered industrial future.



Read more here.

SOME AI TOOLS TO TRY OUT:


  • Jungle AI Generate flashcards and quizzes from slides, PDFs, or videos in seconds.

  • Mozart AI Your co-producer for music ideas, edits, and improvements.

  • WorkPPT – Create presentations, websites, and more in minutes 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.





Copyright Wowza, inc 2025
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