Add news
March 2010 April 2010 May 2010 June 2010 July 2010
August 2010
September 2010 October 2010 November 2010 December 2010 January 2011 February 2011 March 2011 April 2011 May 2011 June 2011 July 2011 August 2011 September 2011 October 2011 November 2011 December 2011 January 2012 February 2012 March 2012 April 2012 May 2012 June 2012 July 2012 August 2012 September 2012 October 2012 November 2012 December 2012 January 2013 February 2013 March 2013 April 2013 May 2013 June 2013 July 2013 August 2013 September 2013 October 2013 November 2013 December 2013 January 2014 February 2014 March 2014 April 2014 May 2014 June 2014 July 2014 August 2014 September 2014 October 2014 November 2014 December 2014 January 2015 February 2015 March 2015 April 2015 May 2015 June 2015 July 2015 August 2015 September 2015 October 2015 November 2015 December 2015 January 2016 February 2016 March 2016 April 2016 May 2016 June 2016 July 2016 August 2016 September 2016 October 2016 November 2016 December 2016 January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 July 2017 August 2017 September 2017 October 2017 November 2017 December 2017 January 2018 February 2018 March 2018 April 2018 May 2018 June 2018 July 2018 August 2018 September 2018 October 2018 November 2018 December 2018 January 2019 February 2019 March 2019 April 2019 May 2019 June 2019 July 2019 August 2019 September 2019 October 2019 November 2019 December 2019 January 2020 February 2020 March 2020 April 2020 May 2020 June 2020 July 2020 August 2020 September 2020 October 2020 November 2020 December 2020 January 2021 February 2021 March 2021 April 2021 May 2021 June 2021 July 2021 August 2021 September 2021 October 2021 November 2021 December 2021 January 2022 February 2022 March 2022 April 2022 May 2022 June 2022 July 2022 August 2022 September 2022 October 2022 November 2022 December 2022 January 2023 February 2023 March 2023 April 2023 May 2023 June 2023 July 2023 August 2023 September 2023 October 2023 November 2023 December 2023 January 2024 February 2024 March 2024 April 2024 May 2024 June 2024 July 2024 August 2024 September 2024 October 2024 November 2024 December 2024 January 2025 February 2025 March 2025 April 2025 May 2025 June 2025 July 2025 August 2025 September 2025 October 2025 November 2025 December 2025 January 2026
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
News Every Day |

5 Simple Ways to Spot AI-Generated Images

1

A couple of years ago, spotting an AI-generated image was almost a game. You didn’t need sharp eyes; just count the fingers, or recall that bizarre AI clip of Will Smith eating spaghetti.

The results were fascinating, funny… and very obviously fake.

Today, that’s no longer the case. AI image generators have gotten dramatically better, turning out photos that can look realistic enough to pass at a quick glance… and sometimes even longer.

The good news: AI still isn’t perfect. Well, not yet. Even the best-generated images tend to stumble over certain details, especially when scenes get busy or realistic in small, human ways. If you know where to look, those slip-ups are surprisingly easy to spot. 

Here are five simple ways to tell whether an image was created by AI.

1. Read the text within the image

Image: DALL·E 3

AI can be good at making text look right, even if it’s not actually readable. At first, text and logos often pass as normal. It’s only when you slow down and really read what’s there that things start to feel off. Words may be slightly misspelled, letters can change shape mid-word, or fonts shift in ways real designers wouldn’t choose, like in this AI-generated image.

This happens because image generators treat text as a visual pattern rather than language. In this example, labels aren’t readable, letterforms drift, and designs feel oddly inconsistent, like placeholders pretending to be packaging. Real photos might include blurry or partially obscured text, but they rarely produce this many objects covered in writing that doesn’t quite exist.

2. Look closely at hands

Image: DALL·E 3

While AI has improved significantly at generating the right number of fingers, hands remain one of the hardest things for it to get right, especially when people are mid-gesture or holding everyday objects.

Grips, finger placement, and the way hands wrap around cups, phones, or utensils require precise anatomy and physics. AI often gets close, but “close” isn’t the same as correct. Fingers may bend at odd angles, blend slightly into objects, or feel stiff in ways real hands rarely do.

This image is a good example of how subtle those errors can be. Look closely at the woman in the yellow top. Her hands seem perfectly normal, until you notice an extra set of fingers under her glass. It’s a subtle mistake, but a common one when AI tries to juggle anatomy, perspective, and motion at the same time.

3. Watch for people who look too perfect to be real

Image: Google Gemini

This tip is about polish rather than beauty.

Real photos, even of the most beautiful Hollywood actors, usually come with some visual noise: uneven lighting, skin texture, slight asymmetry, or stray hairs that don’t behave. AI images tend to smooth all of that away. The result can look impressive, but also a little over-controlled, especially when the image claims to be casual or unedited.

In this example, the person’s skin looks uniformly smooth, with little to no visible pores, and the lighting flatters every angle of the face a bit too evenly. The face itself appears almost perfectly symmetrical, and the hair doesn’t break into natural strands so much as flow together, more like a painted texture than something you could run your fingers through. 

These details create a level of perfection that real cameras rarely achieve by accident.

4. Pay attention to the background, not just the subject

Image: Google Gemini

AI is good at making the main subject look convincing. The trouble usually starts around the edges. Backgrounds are where small logic problems sneak in: objects that don’t belong, reflections that don’t line up, or everyday setups that feel slightly wrong once you actually look at them.

That’s exactly what’s happening here. The people in the foreground look convincing, but the background raises questions once you slow down. A woman appears to be eating from a warped spoon, a picture frame behind her looks awkwardly cut off, and one of the forks on the table is missing a prong. Each detail is easy to miss, but they don’t behave the way real objects normally would.

5. No obvious tell? Check the context

Image: Google Gemini

Sometimes an image passes every visual test. The hands look right. The lighting makes sense. Nothing in the background feels off. When that happens, your next move should be to step back and ask where it came from. Who shared it? Is it showing up anywhere else? Does it come with real context, or does it exist as a single, perfectly framed moment?

This is one of those cases. It looks like a normal, casual photo: natural skin texture, messy hair, imperfect lighting, and a believable setting inside a car. There’s no obvious visual clue that it isn’t real. 

On its own, this kind of image is harmless, but not every ultra-realistic AI image is. When visuals like this are used to cause harm, context is what separates curiosity from consequence. That’s when verification does the heavy lifting: check the source, the account, and whether the image exists beyond this one post.

Seeing isn’t believing anymore

For many people, AI-generated images are still just a creative tool used for fun, art, or experimentation. But the same technology can also be used to mislead, whether that’s through scams, misinformation, or images created and shared without someone’s consent

That’s why being able to slow down and question what you’re seeing matters. You don’t need to spot every AI image perfectly to be better off. You just need the habit of looking twice, asking where something came from, and resisting the urge to take images at face value. In a world where realism is cheap and easy to generate, a little skepticism goes a long way.

Higgsfield has reached a $1.3 billion valuation after raising an $80 million Series A extension and scaling faster than expected.

The post 5 Simple Ways to Spot AI-Generated Images appeared first on eWEEK.

Ria.city






Read also

Espanyol 0-2 Girona FC: resumen y goles

French Production Company Mediawan in Talks to Acquire Peter Chernin’s North Road

The Comparative Handbook for V4 Bikes: Strengths, Tradeoffs, and Smart Picks

News, articles, comments, with a minute-by-minute update, now on Today24.pro

Today24.pro — latest news 24/7. You can add your news instantly now — here




Sports today


Новости тенниса


Спорт в России и мире


All sports news today





Sports in Russia today


Новости России


Russian.city



Губернаторы России









Путин в России и мире







Персональные новости
Russian.city





Friends of Today24

Музыкальные новости

Персональные новости