Vivo X300 FE May Debut In India Soon With An Exclusive Green Variant
	
vivo may soon launch its X series lineup in India with the vivo X300 FE. The smartphone debuted globally earlier this year, and reports now suggest its India release is not far away. According to the latest leaks, the vivo X300 FE might launch in India in early May. The expected timeline has been shared by a trusted tipster, giving a fair idea of when to expect it. However, without official confirmation, the launch date is still not final.



Another important highlight of the vivo X300 FE includes its new green color variant. The green color variant of the phone will reportedly be available only in India, and hence, it will provide something special to the Indian users. Apart from the green variant, it is also available in black and purple.



Design, Display, and Software







In the upcoming vivo X300 FE, you are going to get a 6.31-inch LTPO AMOLED display. In addition, the phone might have a 120Hz refresh rate, which should ensure a smooth experience when scrolling through pages and playing games. It could also be protected by IP68/IP69 ratings against dust and water damage.



In terms of performance, it may feature the Snapdragon 8 Gen 5 processor. It is also expected to offer 12GB of RAM and up to 512GB of storage for a smooth, fast experience. The device could run on OriginOS 6 based on Android 16. Overall, this combination should be good enough for gaming and daily use.



Camera and Battery



The vivo X300 FE is likely to come with a strong camera setup. It may include three rear cameras: a 50MP primary sensor, a 50MP telephoto lens, and an 8MP ultra-wide camera. Zeiss branding is also expected, which generally improves image quality. On the front, users could get a 50MP selfie shooter. Moreover, there have also been reports of a telephoto kit.



Battery performance could be another strong point of the vivo X300 FE. The phone is expected to include a 6,500mAh battery along with support for 90W wired and 40W wireless charging. This combination should help users get long usage time without worrying much about charging.



Expected Price in India



In international markets, the vivo X300 FE comes with an introductory price tag of around RUB 60,299 (equivalent to Rs 71,000). Similar pricing can be expected in the Indian market as well; however, the exact figure has not yet been confirmed. vivo is likely to reveal the final pricing details during the official launch.

#Vivo #X300 #Debut #India #Exclusive #Green #VariantVivo

Vivo X300 FE May Debut In India Soon With An Exclusive Green Variant

vivo may soon launch its X series lineup in India with the vivo X300 FE. The smartphone debuted globally earlier this year, and reports now suggest its India release is not far away. According to the latest leaks, the vivo X300 FE might launch in India in early May. The expected timeline has been shared by a trusted tipster, giving a fair idea of when to expect it. However, without official confirmation, the launch date is still not final.

Another important highlight of the vivo X300 FE includes its new green color variant. The green color variant of the phone will reportedly be available only in India, and hence, it will provide something special to the Indian users. Apart from the green variant, it is also available in black and purple.

Design, Display, and Software

Vivo X300 FE May Debut In India Soon With An Exclusive Green Variant
	
vivo may soon launch its X series lineup in India with the vivo X300 FE. The smartphone debuted globally earlier this year, and reports now suggest its India release is not far away. According to the latest leaks, the vivo X300 FE might launch in India in early May. The expected timeline has been shared by a trusted tipster, giving a fair idea of when to expect it. However, without official confirmation, the launch date is still not final.



Another important highlight of the vivo X300 FE includes its new green color variant. The green color variant of the phone will reportedly be available only in India, and hence, it will provide something special to the Indian users. Apart from the green variant, it is also available in black and purple.



Design, Display, and Software







In the upcoming vivo X300 FE, you are going to get a 6.31-inch LTPO AMOLED display. In addition, the phone might have a 120Hz refresh rate, which should ensure a smooth experience when scrolling through pages and playing games. It could also be protected by IP68/IP69 ratings against dust and water damage.



In terms of performance, it may feature the Snapdragon 8 Gen 5 processor. It is also expected to offer 12GB of RAM and up to 512GB of storage for a smooth, fast experience. The device could run on OriginOS 6 based on Android 16. Overall, this combination should be good enough for gaming and daily use.



Camera and Battery



The vivo X300 FE is likely to come with a strong camera setup. It may include three rear cameras: a 50MP primary sensor, a 50MP telephoto lens, and an 8MP ultra-wide camera. Zeiss branding is also expected, which generally improves image quality. On the front, users could get a 50MP selfie shooter. Moreover, there have also been reports of a telephoto kit.



Battery performance could be another strong point of the vivo X300 FE. The phone is expected to include a 6,500mAh battery along with support for 90W wired and 40W wireless charging. This combination should help users get long usage time without worrying much about charging.



Expected Price in India



In international markets, the vivo X300 FE comes with an introductory price tag of around RUB 60,299 (equivalent to Rs 71,000). Similar pricing can be expected in the Indian market as well; however, the exact figure has not yet been confirmed. vivo is likely to reveal the final pricing details during the official launch.

#Vivo #X300 #Debut #India #Exclusive #Green #VariantVivo

In the upcoming vivo X300 FE, you are going to get a 6.31-inch LTPO AMOLED display. In addition, the phone might have a 120Hz refresh rate, which should ensure a smooth experience when scrolling through pages and playing games. It could also be protected by IP68/IP69 ratings against dust and water damage.

In terms of performance, it may feature the Snapdragon 8 Gen 5 processor. It is also expected to offer 12GB of RAM and up to 512GB of storage for a smooth, fast experience. The device could run on OriginOS 6 based on Android 16. Overall, this combination should be good enough for gaming and daily use.

Camera and Battery

The vivo X300 FE is likely to come with a strong camera setup. It may include three rear cameras: a 50MP primary sensor, a 50MP telephoto lens, and an 8MP ultra-wide camera. Zeiss branding is also expected, which generally improves image quality. On the front, users could get a 50MP selfie shooter. Moreover, there have also been reports of a telephoto kit.

Battery performance could be another strong point of the vivo X300 FE. The phone is expected to include a 6,500mAh battery along with support for 90W wired and 40W wireless charging. This combination should help users get long usage time without worrying much about charging.

Expected Price in India

In international markets, the vivo X300 FE comes with an introductory price tag of around RUB 60,299 (equivalent to Rs 71,000). Similar pricing can be expected in the Indian market as well; however, the exact figure has not yet been confirmed. vivo is likely to reveal the final pricing details during the official launch.

#Vivo #X300 #Debut #India #Exclusive #Green #VariantVivo

vivo may soon launch its X series lineup in India with the vivo X300 FE. The smartphone debuted globally earlier this year, and reports now suggest its India release is not far away. According to the latest leaks, the vivo X300 FE might launch in India in early May. The expected timeline has been shared by a trusted tipster, giving a fair idea of when to expect it. However, without official confirmation, the launch date is still not final.

Another important highlight of the vivo X300 FE includes its new green color variant. The green color variant of the phone will reportedly be available only in India, and hence, it will provide something special to the Indian users. Apart from the green variant, it is also available in black and purple.

Design, Display, and Software

In the upcoming vivo X300 FE, you are going to get a 6.31-inch LTPO AMOLED display. In addition, the phone might have a 120Hz refresh rate, which should ensure a smooth experience when scrolling through pages and playing games. It could also be protected by IP68/IP69 ratings against dust and water damage.

In terms of performance, it may feature the Snapdragon 8 Gen 5 processor. It is also expected to offer 12GB of RAM and up to 512GB of storage for a smooth, fast experience. The device could run on OriginOS 6 based on Android 16. Overall, this combination should be good enough for gaming and daily use.

Camera and Battery

The vivo X300 FE is likely to come with a strong camera setup. It may include three rear cameras: a 50MP primary sensor, a 50MP telephoto lens, and an 8MP ultra-wide camera. Zeiss branding is also expected, which generally improves image quality. On the front, users could get a 50MP selfie shooter. Moreover, there have also been reports of a telephoto kit.

Battery performance could be another strong point of the vivo X300 FE. The phone is expected to include a 6,500mAh battery along with support for 90W wired and 40W wireless charging. This combination should help users get long usage time without worrying much about charging.

Expected Price in India

In international markets, the vivo X300 FE comes with an introductory price tag of around RUB 60,299 (equivalent to Rs 71,000). Similar pricing can be expected in the Indian market as well; however, the exact figure has not yet been confirmed. vivo is likely to reveal the final pricing details during the official launch.

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#Vivo #X300 #Debut #India #Exclusive #Green #Variant

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FIDE Candidates 2026: Vaishali capitalises on Goryachkina’s error to extend lead; Divya holds Zhu <div id="content-body-70851864" itemprop="articleBody"><p>India’s Grandmaster (GM) R Vaishali put herself in the driver’s seat to claim the FIDE Candidates title in the women’s section after she beat Russia’s Aleksandra Goryachkina in Round 11 on Saturday.</p><p>Playing with black pieces, Vaishali kept the tie on balance into the middle game before capitalising on a blunder from her opponent (30. bishop c4) to take control of the game.</p><p>The win consolidated Vaishali’s position atop the standings as she moved to seven points.</p><p>GM Divya Deshmukh produced a solid, controlled performance against second-placed Zhu Jiner (6 points) to hold the Chinese GM to a draw, a result that helps Vaishali head into Round 12 with a clear one-point lead.</p><p><b>ALSO READ: <a href="https://sportstar.thehindu.com/chess/fide-candidates-2026-live-updates-round-11-boards-praggnandhaa-divya-vaishali-live/article70850683.ece" target="_blank" rel="nofollow">Highlight from Round 11 of FIDE Candidates as it happened</a></b></p><p>Playing with the Black pieces, Divya neutralised Zhu’s bishop activity early in the game and traded queens at the right moment with 22. Ne8 followed by 23. Qxd2, reducing attacking chances and steering the game towards a draw.</p><p>Her pieces remained well coordinated, and the central break with 38. d5 and 39. Rxd5 ensured complete balance. Divya countered Zhu’s early initiative with measured play to secure the draw.</p><p>Divya now has five points, two behind leader Vaishali.</p><p>Anna Muzychuk is joint-second on the table with 6 points after a draw against Lagno Kateryna</p><p class="publish-time" id="end-of-article">Published on Apr 11, 2026</p></div> #FIDE #Candidates #Vaishali #capitalises #Goryachkinas #error #extend #lead #Divya #holds #Zhu

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Deadspin | Runs in short supply for White Sox, Royals in series <div id=""><section id="0" class=" w-full"><div class="xl:container mx-0 !px-4 py-0 pb-4 !mx-0 !px-0"><img src="https://images.deadspin.com/tr:w-900/28671895.jpg" srcset="https://images.deadspin.com/tr:w-900/28671895.jpg" alt="MLB: Kansas City Royals at Cleveland Guardians" class="w-full" fetchpriority="high" loading="eager"/><span class="text-0.8 leading-tight">Apr 6, 2026; Cleveland, Ohio, USA; Kansas City Royals catcher Carter Jensen (22) runs the bases after hitting a solo home run off Cleveland Guardians relief pitcher Peyton Pallette (41) during the sixth inning at Progressive Field. Mandatory Credit: David Dermer-Imagn Images<!-- --> <!-- --> </span></div></section><section id="section-1"> <p>The Kansas City Royals are scuffling at the plate, but their starting pitching continues to keep them competitive on the young season. </p> </section><section id="section-2"> <p>Ageless veteran Michael Wacha will look to continue his solid mound start to 2026 when the Royals aim to win back-to-back contests for the first time since the start of the month on Saturday against the visiting Chicago White Sox. </p> </section><section id="section-3"> <p>Kansas City snapped a three-game losing streak and evened this four-game set thanks to seven stellar innings and a career-high 11 strikeouts from Kris Bubic in a 2-0 victory over Chicago on Friday. Now, it’s Wacha’s turn to help the Royals build on that triumph and post consecutive victories for the first time since a three-game run March 29-April 1. </p> </section><section id="section-4"> <p>Wacha (1-0, 0.69 ERA) had to skip a turn in the rotation because of an illiness. However, the right-hander, who turns 35 in July, returned Monday to allow his only run in 13 innings — a solo homer — and two other hits through seven innings of the Royals’ 4-2 victory at Cleveland. </p> </section><section id="section-5"> <p>“It’s Michael Wacha, he’s such a dog,” teammate Jonathan India told the Royals’ official website. </p> </section><section id="section-6"> <p>“He comes to the field every day with a good attitude and works his butt off.” </p> </section><section id="section-7"> <p>Wacha is 6-2 with a 2.98 ERA in 11 career starts versus the White Sox. </p> </section><section id="section-8"> <p>Though the Royals have totaled just five runs, 18 hits and gone 0-for-28 with runners in scoring position over the last four games, their starting pitchers again rank among the major-league best with a 2.84 ERA. </p> </section><section id="section-9"> <p>“We know (pitching is) our strength, especially the starting pitching,” Royals manager Matt Quatraro said. </p> </section><br/><section id="section-10"> <p>“We feel really good about them.” </p> </section> <section id="section-11"> <p>Kansas City pitchers have an exceptional 1.85 ERA while winning 23 of the last 26 home games versus Chicago. Though the teams have split the first two games of this series, the White Sox have managed just seven hits over the past two days, and were held to two Friday. </p> </section><section id="section-12"> <p>“It’s a big park, it’s tough to hit here,” White Sox catcher Edgar Quero, batting .176 after going 0-for-3 on Friday, told the White Sox official website. </p> </section><section id="section-13"> <p>However, Chicago’s Anthony Kay pitched 5 2/3 innings of the team’s 2-0 win on Thursday, and Davis Martin yielded two runs over seven strong frames on Friday. </p> </section><section id="section-14"> <p>Scheduled White Sox starter Erick Fedde (0-2, 4.09 ERA) has been solid while going 1-1 with a 2.93 ERA in three career starts against the Royals.</p> </section><section id="section-15"> <p>After allowing four runs (three earned) through five innings of his 2026 debut at Miami, the right-hander rebounded to yield two runs over six innings of a 2-1 loss to Baltimore on Monday. Fedde has received just two runs of support while on the mound in those two outings. </p> </section><section id="section-16"> <p>Kansas City star Bobby Witt Jr. is 2-for-9 versus Fedde, but he’s batting .462 with 19 RBIs and 13 extra-base hits during a 23-game hitting streak versus the White Sox. </p> </section><section id="section-17"> <p>Fedde has never faced the Royals’ Carter Jensen, who clubbed his team-high fourth home run Friday. </p> </section><section id="section-18"> <p>Chicago’s Lenyn Sosa has hit safely in four of the last five games. He’s 2-for-9 versus Wacha. </p> </section><section id="section-19"> <p>–Field Level Media</p> </section></div> #Deadspin #Runs #short #supply #White #Sox #Royals #series

Snapchat is officially joining the race to clean AI slop out of social media.

The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”

The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.

Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.

It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.

Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.

Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”

Social platforms are reconsidering AI slop

Snapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.

LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.

LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.

Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.

YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.

TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.

Snapchat’s decision also arrives as Meta imagines a very different future for social media.

In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.

Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.

Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

#Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations">Snapchat bans fully AI-generated videos from Spotlight recommendations
                                                            Snapchat is officially joining the race to clean AI slop out of social media.The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

        SEE ALSO:
        
            New safety rules for under-16 Snapchat users
            
        
    
The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.
        
            Mashable Trend Report
        
        
    
Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”Social platforms are reconsidering AI slopSnapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.
YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.Snapchat’s decision also arrives as Meta imagines a very different future for social media.In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

                    
                                            
                            
    
        Topics
                    Artificial Intelligence
                    Snapchat
            

                        
                                    #Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations

AI slop out of social media.

The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”

The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.

Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.

It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.

Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.

Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”

Social platforms are reconsidering AI slop

Snapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.

LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.

LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.

Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.

YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.

TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.

Snapchat’s decision also arrives as Meta imagines a very different future for social media.

In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.

Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.

Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

#Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations">Snapchat bans fully AI-generated videos from Spotlight recommendations

Snapchat is officially joining the race to clean AI slop out of social media.

The company announced July 31 that wholly AI-generated videos will no longer be eligible for recommendation in Spotlight, Snapchat’s discovery feed for trending videos from creators across the platform in order to “reward authentic creativity.”

The policy does not prevent users from posting AI-generated videos elsewhere on Snapchat. It also does not disqualify every video that involves AI. Creators can continue using Snapchat’s AI tools to edit or enhance their original footage, and those videos will remain eligible for Spotlight recommendations with transparency indicators.

The line Snapchat is drawing comes down to who, or what, created the underlying video. AI can help a person make something. It cannot make the entire thing and still expect Snapchat’s recommendation system to distribute it.

“As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company wrote in a blog post.

Keeping entirely generated videos out of Spotlight matters on the platform because recommendation is what allow a creator’s work to reach people who do not already follow them. Removing that distribution makes Spotlight far less valuable as a growth channel for automated content farms that can produce synthetic videos at scale.

It also protects a part of Snapchat that has been attracting more creators. Snap said the number of unique people contributing to Spotlight globally has increased by more than 120 percent over the past year.

Exactly how Snapchat will identify wholly AI-generated videos is less clear. The company has not explained what level of human involvement would make a video eligible or how it will distinguish an AI-enhanced recording from a generated video that received a few human edits.

Snap acknowledged that challenge in its announcement, saying that “no detection system is perfect.”

Social platforms are reconsidering AI slop

Snapchat isn’t the first platform to decide that the flood of repetitive AI content is becoming a problem for its users.

LinkedIn began expanding tools in July that allow members to report posts and comments that “seem like AI slop.” The company is also introducing classifiers intended to reduce low-quality AI content in recommendations and replacing its “enhance your post” writing feature with a more limited proofreading tool.

LinkedIn Chief Product Officer Hari Srinivasan emphasized that the company does not consider all AI-assisted work to be slop. The concern is content that feels automated, generic, or disconnected from the person publishing it.

Substack has taken a transparency-focused approach. On July 21, the newsletter platform introduced an optional AI-detection feature built with Pangram. Readers can scan posts, notes, replies, and comments longer than 100 words to receive an estimate of how much of the text was written by a person or with AI assistance.

YouTube’s current policies similarly make repetitive or mass-produced “inauthentic content” ineligible for monetization. Its spam rules also prohibit creators from using automated or synthetic tools to flood the platform with large volumes of nearly identical videos.

TikTok has also put more of the decision in viewers’ hands. The platform began testing a setting in November that lets users increase or decrease the amount of AI-generated content that appears in their For You feeds.

Snapchat’s decision also arrives as Meta imagines a very different future for social media.

In its latest earnings remarks on July 29, Meta said its Muse image and video models would create a “nearly infinite universe of personalized content” across its platforms. That AI-generated material would become another source of recommendations alongside posts from friends and established creators.

Snapchat is making a different bet for Spotlight. As synthetic video becomes easier to produce and harder to distinguish from recorded footage, the platform is reserving its most valuable discovery space for content that begins with a person.

Drawing that line may be easier than enforcing it. Still, Snapchat has made its preference clear: AI can stay behind the scenes. Spotlight belongs to the humans.

#Snapchat #bans #fully #AIgenerated #videos #Spotlight #recommendations

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