- The AI Update with Kevin Davis
- Posts
- Was It Real or AI? Reality Behind Super Bowl Jesus Ad
Was It Real or AI? Reality Behind Super Bowl Jesus Ad
Today we are looking at AI versus Reality, AI surveilance in the workplace, AI's impact on media
BREAKING NEWS
Media on the Brink: A Dire Forecast for Journalism as We Know It
The media landscape is in turmoil. Clare Malone's recent piece in The New Yorker paints a bleak picture: layoffs rampant, ad revenues plummeting, and a readership weary of the constant barrage of news.
The prognosis? A potential "extinction-level event" for the press as we know it.
In 2023, the media bloodbath was undeniable, with nearly 2,700 layoffs across NBC News, Vox Media, Vice News, and others. Buzzfeed News shuttered, Gawker closed again, and The Washington Post bled money.
The first month of 2024 alone saw Condé Nast, the Los Angeles Times, and Sports Illustrated slash their workforces. The message is clear: the old model is dying.
Matthew Goldstein, a media consultant, warns of the seismic shifts ahead. Google's AI-integrated search, which keeps users within its ecosystem, is a significant threat, diverting traffic from media websites.
Brands like Yahoo and the Wall Street Journal may weather the storm, but smaller outlets face a stark reality: adapt or perish.
Brian Morrissey, another media analyst, predicts a leaner industry, one that may serve as a mere front for other business ventures like e-commerce and sponsored content. The era of mass media, as we've known it, is ending.
The digital age has forced the news media to reinvent itself constantly, but the value of clicks has depreciated, and the reliance on ad revenue is no longer sustainable.
BuzzFeed's viral content strategy and the "Trump bump" provided temporary relief for some, but these were not long-term solutions.
The New York Times, with its diversified offerings like cooking apps and games, seems to have found a formula for success, reaching ten million subscribers. But this success is the exception, not the rule.
The future of media may lie in niche markets and improved user experiences. Politico, Axios, and Punchbowl News have found success with expensive subscriptions for insider audiences.
Yet, the challenge remains: how do outlets provide quality journalism in an age where news competes with entertainment for consumer dollars?
The specter of AI looms large, with the potential to automate content creation and further disrupt the industry. Media outlets are now grappling with how to leverage AI without undermining their journalistic integrity.
In this climate of uncertainty, the media's relationship with its audience must be fundamentally rethought. The business models that emerge will not be perfect. They may cater to a specific demographic and leave others behind.
But the need for quality journalism persists, especially as we face another election year with a candidate under federal charges.
Journalists today are part of a culture of decline, but hope remains. New generations of journalists are entering the field, driven by the belief that their work is vital.
The industry is at a crossroads, and the time for innovative solutions is now. The question is, will the media adapt quickly enough to survive the impending storm?
OTHER NEWS
Artistry or AI? The Reality Behind the Super Bowl's Jesus Ad
The Super Bowl isn't just about football; it's a showcase for advertising's most ambitious projects. This year, a standout was the "He Gets Us" campaign, which featured a series of images depicting modern-day foot-washing, an act reminiscent of Jesus's humility.
The ad, a Bible nod to Jesus washing his disciples' feet, sparked a debate that's as much about technology as it is about theology: Were these images the product of human creativity or AI-generated artifice?
Julia Fullerton-Batten, the photographer behind the campaign, has spoken out. The London-based artist was tasked by "He Gets Us" to capture high-quality, fine art photographs embodying the message of neighborly love.
The production, sprawling over a week in Los Angeles, was colossal, akin to a major TV crew's efforts, complete with street closures to accommodate their gear.
Yet, despite the evident scale of human labor, skeptics emerged, questioning the authenticity of the images. Some speculated that AI was the artist, not Fullerton-Batten and her team.
This suspicion reflects a broader trend where the line between human and machine-created content blurs, prompting us to question the genuineness of what we see.
Fullerton-Batten's response to the AI rumors is one of disappointment. The suggestion undermines the extensive teamwork and creativity poured into the project.
Her goal was to maintain a sense of reality within the staged, cinematic framework, ensuring the images resonated with viewers on a human level. The absence of similar images in existing databases further debunks the AI theory, as AI requires pre-existing data to generate new content.
I don’t beleive the absence of a specific scenario for an image prevents AI from creating one with the right prompt.
The irony here is palpable. In a Super Bowl where AI mockery found its way into a Minions commercial, Fullerton-Batten's authentic work was mistaken for the very technology being lampooned.
It's a testament to her skill that her work could be considered so flawless as to be machine-made, but it's also a wake-up call to the implications of AI's rise in creative fields.
For Fullerton-Batten, the project was more than just an assignment; it was an opportunity to create art with a profound message. Her images, intended as art pieces, now also serve as a reminder of the enduring value of human touch in an increasingly automated world.
Ultimately, the ad achieved more than just commercial success; it sparked a conversation about authenticity in the digital age. As we navigate this new era, let's not forget the irreplaceable contribution of the human spirit in the art we create and the stories we tell.
AI IN THE WORKPLACE
Big Brother in the Break Room: The AI Surveillance Debate
In the digital corridors of today's workplaces, artificial intelligence (AI) has slipped into a role that's raising eyebrows and red flags. It's not just monitoring productivity; it's potentially policing thought.
The latest from Silicon Valley's surveillance toolkit involves AI systems scrutinizing employee communications in apps like Slack and Zoom. These tools, wielded by giants like Chevron and Walmart, claim to safeguard corporate culture by flagging everything from harassment to non-compliance.
But at what cost to privacy and trust?
Aware, a company at the forefront, boasts AI models that parse text and images, promising anonymity in aggregate insights. Yet, CEO Jeff Schumann's assurances do little to quell fears.
The technology can pinpoint individuals, and the granularity of data—age, location, job function—threatens the veil of anonymity. The specter of "thought crimes," a term chillingly reminiscent of Orwell's dystopia, looms large as these systems scrutinize internal reactions to corporate policies.
Critics like Jutta Williams of Humane Intelligence and Amba Kak of the AI Now Institute are sounding alarms. They argue that AI-driven employee surveillance isn't just a privacy issue; it's a worker rights issue.
The chilling effect on workplace communication is palpable. Employees, aware of the digital overseer, may self-censor, stifling the open exchange of ideas that drives innovation.
The implications are profound. As AI seeps further into the fabric of corporate life, the balance between oversight and overreach becomes precarious. The technology that promises to streamline operations and enforce standards also risks eroding the trust and autonomy of those it watches.
It's a trade-off that demands a critical examination, not just of the technology itself, but of the values and vision we hold for the future of work.
In Silicon Valley, where disruption is often celebrated, this is one disruption that deserves a skeptical lens.
It's time for a candid dialogue about the role of AI in the workplace—one that prioritizes the dignity and rights of employees as highly as it does the interests of employers.
SOCIAL MEDIA
Cool use of ChatGPT image recognition
GPT-4 Vision with the phone camera is amazing.
I programmed my phone so whenever I double-tap the back, it automatically describes the place in the picture.
Here is how to create your own AI guide:
— Alvaro Cintas (@dr_cintas)
4:40 PM • Feb 12, 2024
FEEDBACK LOOP
Sincerely, How Did We Do With This Issue?I would really appreciate your feedback to make this newsletter better... |
LIKE IT, SHARE IT
That’s all for today.