Another Crazy Day in AI: Can We Really Keep Advanced AI Under Control?
- Wowza Team
- Feb 3
- 3 min read
Hello, AI Enthusiasts.
Here's another crazy day in AI:
The race to control advanced AI before it's too late
The missing skills behind successful AI adoption
How Microsoft is unifying communities inside Teams
Some AI tools to try out
🎧 Listen to a quick breakdown of today’s stories.
TODAY'S FEATURED ITEM: The Global Challenge of Regulating Frontier AI
Image Credit: Wowza (created with Ideogram)
How much control is realistic as systems grow more capable?
In a recent episode of CNBC’s The Tech Download podcast, hosts Arjun Kharpal and Steve Kovach speak with Google DeepMind leaders Dawn Bloxwich, Senior Director for Responsible Development & Innovation, and Tom Lue, VP for Frontier Global Affairs. The discussion looks closely at how DeepMind approaches responsibility alongside rapid technological progress, from early design decisions to ongoing testing and engagement with policymakers. Rather than framing responsibility as a barrier, the episode explores how safety, oversight, and innovation are being considered in parallel—against a backdrop of intense competition and uneven global regulation.
Themes explored in the episode
Responsibility is addressed early in development, with attention to both near-term and longer-term risks
Stress-testing methods are used to surface unexpected behaviors and potential misuse
Competitive pressure influences how quickly systems are released and evaluated
Transparency is encouraged through reporting and third-party evaluations, with practical limits
Regulatory approaches vary widely across regions, complicating coordination
Governments differ in readiness, shaping how oversight and adoption unfold
More autonomous systems raise new questions around labor, privacy, and accountability
The conversation offers a window into how one major lab thinks about these problems, but it also highlights how much is still being figured out. Bloxwich and Lue walk through their processes honestly, including the parts where answers aren't clear yet. Testing gets more sophisticated, but so do the systems being tested. Regulations are being drafted, but getting countries to align on standards remains complicated.
What you're left with is a sense of work in progress. The approaches discussed seem reasonable given current knowledge, but whether they'll hold up as AI capabilities expand is genuinely open to debate. For anyone following this space, the value is in seeing where the challenges actually are, not in finding reassurance that everything is under control.
Watch the conversation here.
OTHER INTERESTING AI HIGHLIGHTS:
The Missing Skills Behind Successful AI Adoption
/Amanda Pratt (Stanford PhD Candidate; Graduate Fellow at Stanford HAI) & Melissa Valentine (Stanford Associate Professor; Senior Fellow at Stanford HAI) on Harvard Business Review
As generative AI tools flood the workplace, many teams struggle to move beyond surface-level use. This article argues that the real barrier isn’t prompt quality, but a lack of product management skills—like identifying high-value problems, experimenting thoughtfully, and integrating AI into daily workflows. Drawing on research from AI adoption at Google and across industries, the authors show how employees who think like product managers are more likely to create durable, meaningful impact. Managers, they argue, play a key role by modeling these behaviors and making experimentation both visible and safe.
Read more here.
How Microsoft Is Unifying Communities Inside Teams
/Sophia Peng (Product Marketing Manager), on Microsoft Teams Blog
Microsoft is rolling out a new experience that brings Viva Engage communities directly into Microsoft Teams, aiming to centralize communication where work already happens. The update unifies chats, channels, and communities into a single flow, making it easier for employees to discover conversations, share knowledge, and stay engaged. AI-powered community agents and Microsoft 365 Copilot integration further surface organizational knowledge and reduce repeated questions. The move reflects Microsoft’s broader push to strengthen culture, learning, and connection across distributed teams.
Check it out here.
SOME AI TOOLS TO TRY OUT:
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!!!
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