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A School District Tried to Help Train Waymos to Stop for School Buses. It Didn’t Work

A School District Tried to Help Train Waymos to Stop for School Buses. It Didn’t Work

One of the purported advantages of self-driving car tech is that every car can learn from one vehicle’s mistakes. Here’s how Waymo puts it on its website: “The Waymo Driver learns from the collective experiences gathered across our fleet, including previous hardware generations.”

But in Austin, Waymo’s vehicles struggled for months to learn how to stop for school buses as drivers picked up and dropped off children. An official with the Austin Independent School District (AISD) alleged that the vehicles had, in at least 19 instances, “illegally and dangerously” passed the district’s school buses while their red lights were flashing and their stop arms were extended rather than coming to complete stops, as the law requires.

In early December, Waymo even issued a federal recall related to the incidents, acknowledging at least 12 of them to federal regulators at the National Highway Traffic Safety Administration (NHTSA), which oversees road safety. According to federal filings, engineers with the self-driving vehicle company had “developed software changes to address the behavior” weeks before.

But even after the recall, the school-bus-passing incidents continued, according to school officials and a report from the National Transportation Safety Board (NTSB), an independent federal safety watchdog that’s also investigating the situation.

Now, email and text messages between school officials and Waymo representatives, obtained by WIRED through a public records request, show the lengths that the Austin public school district and Waymo went to try to solve the problem. AISD even hosted a half-day “data collection” event in a school parking lot in mid-December, the documents show, with several employees pulling together school buses and stop-arm signals from across the fleet so the self-driving car company could collect information related to vehicles and their flashing lights.

Still, by mid-January, over a month later, the school district reported at least four more school-bus-passing incidents had taken place in Austin. “The data we collected from the beginning of the school year to the end of the semester shows that about 98 percent of people that receive one violation do not receive another,” an official with the school’s police department told the local NBC affiliate that month. “That tells us that the person is learning, but it does not appear the Waymo automated driver system is learning through its software updates, its recall, what have you, because we are still having violations.”

The situation raises questions about the self-driving technologies’ curious blind spots and the industry’s ability to compensate for them even after they’ve been spotted.

Self-driving software has long struggled with recognizing flashing emergency lights and road safety devices with long, thin arms, including gates and stop-arms, says Missy Cummings, who researches autonomous vehicles at George Mason University and served as a safety adviser to the NHTSA during the Biden administration. “If [the company] didn’t fix this a few years ago, the more they drive, the more it’s going to be a problem,” she says. “That’s exactly what’s happening here.”

Waymo did not respond to WIRED’s requests for comment. A spokesperson for the Austin Independent School District referred WIRED to the NTSB while the incidents are under investigation. A spokesperson for the NTSB declined to answer WIRED’s questions while its investigation continues.

Illegal Passing

By midwinter of 2025, AISD officials were frustrated. In one of the 19 incidents alleged by a lawyer for the district in a letter later released by federal road safety regulators, a Waymo passed a school bus letting off children “only moments after a student crossed in front of the vehicle, and while the student was still in the road.”

“Alarmingly,” the lawyer wrote, five of the alleged incidents had occurred after Waymo had assured the district that it had updated its software to fix the problem. Federal regulators with the NHTSA had already launched a probe into the behavior. “Austin ISD is evaluating all potential legal remedies at its disposal and intends to take whatever action is necessary to protect the safety of its students, if required,” the lawyer warned.

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#School #District #Train #Waymos #Stop #School #Buses #Didnt #Work

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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