AI images fooling humans & Human authorship and trust - AI News (Sep 20, 2026)

If a 60-second quiz can fool you into mistaking AI images for real photos, what else online are we already misreading? Welcome to The Automated Daily, AI News edition. The podcast created by generative AI. I'm TrendTeller, and today is September 20th, 2026. Today, a sharp argument for human writing, new pressure in the New York Times lawsuit, a fresh antitrust case over AI slowdowns, and a privacy complaint aimed at Google AI Studio.

AI images fooling humans

Let's start with the visual side of AI. A quick game called Reality Check asks people to decide whether images are real photos or AI-generated, and the point is not really the scoring. The real takeaway is that synthetic images are now convincing enough that many people will hesitate, second-guess themselves, or simply get it wrong. That matters well beyond entertainment, because the harder it is to spot fake visuals, the easier it becomes for misinformation, scams, and low-trust content to blend into everyday browsing.

Human authorship and trust

Two pieces today push back on a bigger cultural shift. One argues that people should almost never use AI to write substantive text, not because the output is always terrible, but because writing is part of thinking. If you hand that work to a model too early, you may skip the hard part of testing your own argument. A related essay says the same kind of shortcut is putting pressure on the open internet itself, as AI systems absorb shared writing and code without clearly honoring the social norms and licenses that made openness productive in the first place. Put together, the message is simple: AI can save time, but it can also weaken judgment and trust if it replaces the work rather than supporting it.

Open source AI backlash

That broader tension is showing up in open-source communities too. KDE, which is marking its 30th anniversary, is already seeing debate around a proposed AI-native desktop for Plasma. The idea is to make AI part of the core computing experience rather than just another assistant window, and that is exactly the sort of shift that divides technical communities right now. For some, it sounds like the next interface. For others, it sounds like a loss of control, privacy, and simplicity. Either way, it shows that AI is no longer just a tool discussion. It is becoming a product philosophy discussion.

NYT copyright case update

In a new development in the copyright fight we've been following, The New York Times is seeking summary judgment against OpenAI and Microsoft, saying newly cited internal documents show executives understood the risk AI systems posed to publishers. According to the reporting, the filings include blunt internal comments about scraping, lost traffic, and damage to the web's content economy. The reason this matters is not just the rhetoric. If the court is persuaded that the companies knew their systems could substitute for publisher traffic, that could weigh heavily on how judges view fair use, training practices, and the balance between AI progress and the business of journalism.

Antitrust fight over slowdown

There is also a fresh legal challenge on the policy side. A new lawsuit accuses Anthropic, OpenAI, xAI, and Google of illegally coordinating around slowing AI development, arguing that collective restraint could reduce competition and keep chatbot prices higher for consumers. The plaintiffs are not saying any one company cannot choose to move cautiously. Their claim is that private coordination is different from independent safety decisions. This is worth watching because it may test a very tricky boundary: how major labs talk about shared safety standards without sounding like an industry club setting the pace for everyone else.

Google AI deletion controversy

And finally, a privacy story that deserves careful attention. A researcher alleges that in Google AI Studio, the option labeled 'Delete permanently' does not truly erase underlying chat data, but instead removes a local pointer while the conversation remains recoverable from the backend. The author also says Google treated the report as intended behavior and then automatically banned them from its vulnerability reporting program. These are still allegations, but if the description is accurate, the issue is bigger than a confusing button. It becomes a question of whether users can rely on deletion claims at all when they are sharing potentially sensitive prompts and conversations with AI systems.

That's it for today's AI roundup. The big theme across these stories is trust: trust in images, trust in writing, trust in platforms, and trust in the companies shaping AI policy. Thanks for listening to The Automated Daily, AI News edition. Links to all stories could be found in the episode notes.

AI images fooling humans & Human authorship and trust - AI News (Sep 20, 2026)

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