by Steve Sorbo | Jan 2, 2026 | Uncategorized
Here’s something new to watch out for: poisoned chatbot conversations surfaced in Google searches. The sharing features in ChatGPT, Claude, Gemini, Grok, and other chatbots allow users to publish their conversations as public Web pages, which can be indexed by search engines and appear alongside traditional websites in search results. Attackers can seed those conversations with malicious commands, and the conversations themselves look trustworthy in search results because the URL points to a well-known AI company. This risk isn’t theoretical—security firm Huntress documented a macOS malware infection that began with a Google search result linking to a shared chatbot conversation that contained malicious Terminal instructions. Treat chatbot conversations found via Google as you would random forum posts—potentially useful for background or ideas to start your own conversation, but not as authoritative instructions. Be especially suspicious when they offer step-by-step guidance or ask you to copy anything verbatim.
(Featured image by iStock.com/tadamichi)
Social Media: Hackers have learned how to poison shared chatbot conversations with malware—and get Google to display them in search results. Never trust step-by-step instructions or Terminal commands from user-generated chatbot pages.
by Steve Sorbo | Jan 2, 2026 | Uncategorized
We can’t always guarantee optimal lighting for video calls, especially when using laptops on the go. A new feature in macOS 26.2 Tahoe called Edge Light might help. It’s a video effect that uses the outermost pixels of your Mac’s display to create a bright white rectangle that illuminates your face during video calls. It acts like an on-screen ring light in low-light conditions. You can activate it from the green video camera icon in the menu bar (shown when the camera is active), and on Macs from 2024 and later, you can set it to turn on automatically in low-light environments. Click the disclosure triangle next to Edge Light to adjust the light’s width and color temperature. Mouse awareness allows the light to recede automatically when you move your pointer toward it. While Edge Light won’t replace external lights, it can help make your face visible in otherwise dark rooms.
(Featured image by iStock.com/Dima Berlin)
Social Media: Dark room, important video call? macOS 26.2’s Edge Light transforms your Mac’s display into an on-screen ring light, illuminating your face so you’re visible on camera.
by Steve Sorbo | Jan 2, 2026 | Uncategorized
One place where the Liquid Glass transparency in iOS 26 and iPadOS 26 can be annoying is the time display on the Lock Screen. Liquid Glass tries—but often fails—to adjust the clock’s transparency so it’s readable over whatever photo you chose or the Photo Shuffle option displayed. Starting in iOS 26.2 and iPadOS 26.2, you can manually adjust the clock’s transparency: touch and hold the Lock Screen, tap Customize, tap the clock, tap Glass, and drag the Transparency slider (left and middle). If it’s still not readable enough, you can switch to the previously available Solid view (right).
(Featured image by iStock.com/Wavebreakmedia)
Social Media: Struggling to read the clock on your iPhone Lock Screen? iOS 26.2 lets you manually adjust the transparency—or switch to a solid background for better readability.
by Steve Sorbo | Jan 2, 2026 | Uncategorized
A new feature for Apple Music subscribers in the Music app in iOS 26, iPadOS 26, and macOS 26 is AutoMix, which Apple says causes songs to “transition at the perfect moment, based on analysis of the key and tempo of the music.” It fades between songs as a DJ would, but it’s not always successful. If AutoMix’s transitions aren’t to your taste, navigate to Settings > Apps > Music > Song Transitions in iOS and iPadOS, or Music > Settings > Playback > Song Transitions in macOS, and switch back to the longstanding Crossfade option, which transitions between songs over a user‑specified number of seconds. Or, just turn off the Song Transitions switch and let one song end completely before the next one starts.
(Featured image by iStock.com/lakshmiprasad S)
Social Media: Apple’s new DJ‑style AutoMix transitions between songs in the Music app aren’t to everyone’s taste (and sometimes flub the jump). Here’s how to switch back to a timed Crossfade or disable transitions in Music on your iPhone, iPad, and Mac.
by Steve Sorbo | Jan 2, 2026 | Uncategorized
The AI hype train continues to gain momentum, with breathless reports of rapid user growth, billion-dollar deals, and sky-high company valuations. At the same time, it’s easy to highlight AI pilot failures, problematic uses, and worries about job losses.
As always, reality lies between the extremes. AI is just another technological tool, like spreadsheets, email, and the searchable Web. Like them, casual usage won’t automatically increase an organization’s productivity. At best, many people have begun using AI chatbots as a smarter search engine, and while that’s a fine start, it’s unlikely to make a notable difference. Many others are technology skeptics who are uncomfortable with any new technology, let alone one as fuzzy as AI. Even those who are interested and capable are often overwhelmed by their existing work and don’t have time to learn yet another tool.
So how do you set up an organization to make effective—even transformative—use of AI?
Get Buy-In from Management
Ideally, the desire to adopt AI would come from the top of the organization, with leadership discussing and modeling the kind of usage they want to see. But what’s absolutely essential is lower-level management creating the culture, resources, and time necessary for employees to experiment with AI.
Evangelize from the Bottom, Don’t Mandate from the Top
Although management must be on board, a CEO memo mandating immediate AI adoption won’t have the desired effect. Unlike many other technologies, AI solutions tend to be highly specific rather than one-size-fits-all. Frontline employees know where they’re wasting time with inefficient workflows, and they have first-hand knowledge of what customers want, so they’re more likely to be able to leverage AI tools when they are involved in the development and deployment. Solutions created without their participation likely won’t benefit the business’s bottom line, customers, or employees.
Centralize Testing and Support
A top-down approach does make sense for tool analysis and testing. The explosive growth of the AI market means that there are numerous similar options for any desired workflow. To save time, avoid future chaos, and reduce tool jumping, it can be helpful to have a single IT team evaluate the numerous possible tools, make recommendations, suggest best practices, establish basic data handling and privacy guidelines, and provide support.
Adopt a Documentation Mindset
A key to automating workflows with AI is being able to document the necessary tasks clearly first. Some organizations already have a documentation mindset, where they write everything down, define processes, and record decisions. If that’s not the case for your organization, it’s better to focus on building such documentation before creating automation tools that are unlikely to deliver the desired results. Consider using AI to help with documentation, such as by interviewing people who understand the workflows and using AI to extract an outline from the transcript of the recording.
Think of AI Tools Like a Junior Employee
The hard part of using AI is defining your goals and determining where AI can make a difference. It’s much like training a new hire. What are you trying to achieve by hiring them? What do they need to learn to do their job? What level of excellence do you expect? What common mistakes and pitfalls should they avoid? You can only automate something if you have a clear idea of what success entails and precisely what’s necessary to achieve it.
The Bottom Line
Ultimately, successful AI implementation comes down to defining what you want to achieve, giving people the time they need to explore possibilities, and providing guidance rather than mandates.
(Featured image by iStock.com/FabrikaCr)
Social Media: Casual AI use won’t impact your organization. To see real productivity gains with AI projects, avoid top-down mandates and instead empower frontline teams, document workflows, and centralize support.
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