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SpaceX Wants to Fly Its Gigantic Starship Directly Over Florida

SpaceX Wants to Fly Its Gigantic Starship Directly Over Florida

SpaceX is inching closer to sending its Starship rocket into low Earth orbit. A newly proposed flight path for the upper stage would see it fly across Florida skies—an unusual route that would seriously disrupt air traffic and raise the risk of debris falling onto populated areas below.

The Federal Aviation Administration (FAA) is reviewing SpaceX’s request for new launch and reentry flight paths that would see its upper-stage Starship rocket crossing over Florida as it makes its way toward space and eventually return for a landing at the company’s Boca Chica launch mount in Texas.

The agency is considering the safety risks of the new launch trajectories, as well as having to close the airspace over a portion of Mexico, Cuba, Jamaica, the Cayman Islands, and the U.S.

New flight paths, new risks

Last month, Starship finally broke its back-to-back losing streak by acing its 10th test flight. Following its near-flawless launch, SpaceX founder and CEO Elon Musk explained that an upgraded version of Starship will soon reach orbit by next year and demonstrate full reusability by landing both the Super Heavy booster and its upper stage.

Diagram showing two newly proposed Starship flight paths. © FAA/SpaceX/Google Earth

So far, Starship’s test flights have taken the megarocket on suborbital trajectories. SpaceX is preparing its rocket to reach low Earth orbit and complete a full trip around the planet before returning for a landing attempt at its launch site in South Texas.

In its request, the company proposed two different routes: one that would fly the rocket toward the Cayman Islands and another that would have it fly directly over Florida. The FAA is reviewing the potential environmental impact the new flight trajectory would have in regard to emissions, air quality, noise pollution, and the potential of hazardous material falling onto populated areas.

The effect of these over-Florida flights would be non-trivial for commercial airlines. “The launch and Super Heavy booster landing AHAs [Aircraft Hazard Area] could affect a minimum of 10 commercial aircraft per hour, during the lowest period of midnight hours, or up to a maximum of 200 commercial aircraft per hour, during peak daily travel periods,” according to the FAA’s assessment. The plan assumes as many as 22 Starship launches per year.

A number of Starship’s test flights have ended with the rocket breaking apart and raining debris on parts of the Caribbean, Puerto Rico, and the Virgin Islands. In June, Mexico threatened to sue over possible contamination from SpaceX’s rocket launches that sometimes rain bits of debris across the nearby border. Local conservation groups in Boca Chica have also criticized SpaceX, arguing that the Starship rocket poses a threat to the surrounding wildlife habitat.

In its recent report, however, the FAA concluded that there would be “no significant impact” from Starship’s new launch trajectories. The agency still hasn’t made its final decision; instead, it will hold a public meeting on October 7 and gather comments until October 20 before it makes a decision on SpaceX’s proposal.

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Snap, YouTube, and TikTok have settled the first lawsuit of its kind, alleging that social media addiction has cost public schools massive amounts of money, according to Bloomberg. The suit, filed by the Breathitt County School District in Kentucky, claims that social media has disrupted learning and created a mental health crisis, straining budgets. The terms of the settlement have not been revealed yet, and Meta is still facing a trial in the same suit, which is viewed as a bellwether for over 1,000 similar lawsuits across the country

This follows an earlier case, settled by Snap and TikTok, in which a 19-year-old plaintiff claimed significant personal injury due to addictive social media apps. Google and Meta did not agree to a settlement in that suit, and it eventually went to trial, where a jury awarded the plaintiff $6 million. Meta also recently lost a suit brought by New Mexico’s Attorney General, to the tune of $375 million.

Beyond monetary awards, many, including New Mexico, are pushing for significant changes to social media apps to limit their harm to minors. And this is just the start of what’s shaping up to be a busy year for social media lawsuits. According to Bloomberg, lawyers representing school districts said their “focus remains on pursuing justice for the remaining 1,200 school districts who have filed cases.”

#Snap #YouTube #TikTok #settle #suit #harm #studentsCreators,Facebook,Law,Meta,News,Policy,Snapchat,Social Media,Streaming,Tech,TikTok,YouTube">Snap, YouTube, and TikTok settle suit over harm to studentsSnap, YouTube, and TikTok have settled the first lawsuit of its kind, alleging that social media addiction has cost public schools massive amounts of money, according to Bloomberg. The suit, filed by the Breathitt County School District in Kentucky, claims that social media has disrupted learning and created a mental health crisis, straining budgets. The terms of the settlement have not been revealed yet, and Meta is still facing a trial in the same suit, which is viewed as a bellwether for over 1,000 similar lawsuits across the countryThis follows an earlier case, settled by Snap and TikTok, in which a 19-year-old plaintiff claimed significant personal injury due to addictive social media apps. Google and Meta did not agree to a settlement in that suit, and it eventually went to trial, where a jury awarded the plaintiff  million. Meta also recently lost a suit brought by New Mexico’s Attorney General, to the tune of 5 million.Beyond monetary awards, many, including New Mexico, are pushing for significant changes to social media apps to limit their harm to minors. And this is just the start of what’s shaping up to be a busy year for social media lawsuits. According to Bloomberg, lawyers representing school districts said their “focus remains on pursuing justice for the remaining 1,200 school districts who have filed cases.”#Snap #YouTube #TikTok #settle #suit #harm #studentsCreators,Facebook,Law,Meta,News,Policy,Snapchat,Social Media,Streaming,Tech,TikTok,YouTube

Bloomberg. The suit, filed by the Breathitt County School District in Kentucky, claims that social media has disrupted learning and created a mental health crisis, straining budgets. The terms of the settlement have not been revealed yet, and Meta is still facing a trial in the same suit, which is viewed as a bellwether for over 1,000 similar lawsuits across the country

This follows an earlier case, settled by Snap and TikTok, in which a 19-year-old plaintiff claimed significant personal injury due to addictive social media apps. Google and Meta did not agree to a settlement in that suit, and it eventually went to trial, where a jury awarded the plaintiff $6 million. Meta also recently lost a suit brought by New Mexico’s Attorney General, to the tune of $375 million.

Beyond monetary awards, many, including New Mexico, are pushing for significant changes to social media apps to limit their harm to minors. And this is just the start of what’s shaping up to be a busy year for social media lawsuits. According to Bloomberg, lawyers representing school districts said their “focus remains on pursuing justice for the remaining 1,200 school districts who have filed cases.”

#Snap #YouTube #TikTok #settle #suit #harm #studentsCreators,Facebook,Law,Meta,News,Policy,Snapchat,Social Media,Streaming,Tech,TikTok,YouTube">Snap, YouTube, and TikTok settle suit over harm to students

Snap, YouTube, and TikTok have settled the first lawsuit of its kind, alleging that social media addiction has cost public schools massive amounts of money, according to Bloomberg. The suit, filed by the Breathitt County School District in Kentucky, claims that social media has disrupted learning and created a mental health crisis, straining budgets. The terms of the settlement have not been revealed yet, and Meta is still facing a trial in the same suit, which is viewed as a bellwether for over 1,000 similar lawsuits across the country

This follows an earlier case, settled by Snap and TikTok, in which a 19-year-old plaintiff claimed significant personal injury due to addictive social media apps. Google and Meta did not agree to a settlement in that suit, and it eventually went to trial, where a jury awarded the plaintiff $6 million. Meta also recently lost a suit brought by New Mexico’s Attorney General, to the tune of $375 million.

Beyond monetary awards, many, including New Mexico, are pushing for significant changes to social media apps to limit their harm to minors. And this is just the start of what’s shaping up to be a busy year for social media lawsuits. According to Bloomberg, lawyers representing school districts said their “focus remains on pursuing justice for the remaining 1,200 school districts who have filed cases.”

#Snap #YouTube #TikTok #settle #suit #harm #studentsCreators,Facebook,Law,Meta,News,Policy,Snapchat,Social Media,Streaming,Tech,TikTok,YouTube
ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers.

Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has become a source of data on trends in scientific research

ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters to get an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it to raise more money to address issues like AI slop

In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section — posted Thursday that “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” 

That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.”

Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. 

Dietterich told 404 Media that this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision.

Recent peer-reviewed research has found that fabricated citations are on the rise in biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caught using citations that were made up by AI.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Research #repository #ArXiv #ban #authors #year #work #TechCruncharxiv">Research repository ArXiv will ban authors for a year if they let AI do all the work | TechCrunch
ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers.

Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has become a source of data on trends in scientific research. 







ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters to get an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it to raise more money to address issues like AI slop. 

In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section — posted Thursday that “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” 

That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.”

Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. 

Dietterich told 404 Media that this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision.


Recent peer-reviewed research has found that fabricated citations are on the rise in biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caught using citations that were made up by AI.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Research #repository #ArXiv #ban #authors #year #work #TechCruncharxiv

ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers.

Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has become a source of data on trends in scientific research

ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters to get an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it to raise more money to address issues like AI slop

In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section — posted Thursday that “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” 

That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.”

Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. 

Dietterich told 404 Media that this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision.

Recent peer-reviewed research has found that fabricated citations are on the rise in biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caught using citations that were made up by AI.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Research #repository #ArXiv #ban #authors #year #work #TechCruncharxiv">Research repository ArXiv will ban authors for a year if they let AI do all the work | TechCrunch

ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers.

Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has become a source of data on trends in scientific research

ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters to get an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it to raise more money to address issues like AI slop

In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section — posted Thursday that “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” 

That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.”

Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. 

Dietterich told 404 Media that this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision.

Recent peer-reviewed research has found that fabricated citations are on the rise in biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caught using citations that were made up by AI.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Research #repository #ArXiv #ban #authors #year #work #TechCruncharxiv

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