Want to check all the test images yourself? See the whole story here with a $4 day pass to the Post: 👇 https://t.co/DbUB2fYMhC

The big takeaway: Google has a lead on image generation, for now, particularly because of how it edits existing images. And its realism is getting to a level that raises serious concerns about becoming an “misinformation superspreader."

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What about the new ChatGPT Images 1.5 model that just came on today? It missed our test cut-off, but I checked the same prompts again and … it still couldn’t beat Gemini. Here it removed someone from a photo, but left phantom fingers on Kristen Stewart’s side.

Also, it’s worth noting all the tools defaulted to making the subject a white man — and Meta AI even decided on its own to make someone who looks like Leonardo DiCaprio 😅.

But wait: If you look close, Gemini also included a tiny fake “credit” using the name of a real AP photographer. The judges gave it high scores for realism, but a zero for ethics. (Neither Google nor AP answered our questions about whether it had rights to train on AP pictures.)

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Here’s how the bots created a “professional photograph” that “captures raw emotion” of an actor crying “tears of joy” after winning an Oscar.

Meta AI and Adobe Firefly struggled — especially on realism and anatomical accuracy. Some outputs looked very off, like strange objects in weird places. They still made hands that were distorted or had odd digits.

🥇 Google’s Gemini 3 Nano Banana Pro came out on top on every test — producing the most convincing edits and realistic compositions.

@kevinschaul and I gave ChatGPT, Gemini, Adobe Firefly, ByteDance Seedream and Meta AI the same 5 image tasks — including edits, emotional portraits, and making original “art.” Expert judges @dahliadb @solsticeretouch & @PDPJ scored them blind. Link:

🚀 We tested 5 leading AI image generators @washingtonpost to see which tool is truly the best at editing & creating visuals. From adding bangs to @therock to removing people from photos — the results might surprise you 🧵👇 #AI

You can use this link to read it, or buy a Day Pass to The Post:

Uber charged me $77. Lyft charged $49. Same ride. Same minute. I ran 80 tests @washingtonpost to find out why—and what I discovered a few things about how these apps price rides ... and how to save money.

Use this link to read it with a $4 day pass to @washingtonpost

The Post analyzed 47,000 public ChatGPT conversations. While 35% use it for info and 11% for coding, the most striking finding? The emotional intimacy. Users said things like: "I love you always." ChatGPT said things like: "You're not crazy sweetheart — you're just early."

ChatGPT’s new Atlas browser doesn’t just see what you read — it remembers it. @EFF’s Lena Cohen showed me it even logged “memories” of her looking for *abortion care* and her doctor’s name. Out-surveils even Chrome.

1. Perplexity is the Google killer 2. Google AI Mode is the Perplexity killer ∴ Google is the Google killer?? Read about our latest collaboration with @geoffreyfowler in the Post today!

Of my 65 draft notes, only 3 got published. That’s less than 5%. The problem: not enough other users voted that my notes were “helpful,” even though they were 100% about stuff pro news outlets had fact checked. Read 👉

Mark Zuckerberg fired pro fact checkers after Trump got re-elected. So @washingtonpost I tested Zuck's replacement: crowdsourced community notes." Over 4 months, I drafted 65—debunking lies ranging from Mr. Rogers to ICE. It failed to make a dent. Read 👉 https://t.co/DQZRdNCpaU

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Testing 5 A.I. bots head-to-head on their summary of medical research papers that I authored (and other domains) @geoffreyfowler gift link

https://t.co/UxxLZyOuG2