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Bitcoin price plunges below 6-month low. This is why.

Bitcoin price plunges below 6-month low. This is why.

Tech-news

Bitcoin has fallen below $100,000 for the first time in months.

As of publishing time on Friday, Bitcoin has been hovering around the $94,000 to $97,000 price range. That price point is the lowest Bitcoin has seen since early May and a big drop from the more than $126,000 all-time high that Bitcoin reached just early last month.

What’s going on here?

It’s important to note that cryptocurrency is extremely volatile and can experience unexplained ebbs and flows based on a number of factors. A major factor likely driving this latest Bitcoin drop is general sentiment about the economy. 

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The stock market is also down right now, and historically the cryptocurrency markets follow Wall Street. In addition, some analysts are citing the expectation that the Federal Reserve will cut rates in December. As a result, institutional buying has trailed off in recent weeks.

Crypto whale selloffs are often a significant factor when the crypto market suddenly goes down. This time, however, a lot of holders are reportedly selling off Bitcoin, not just the whales.

According to new data from cryptocurrency analytics company CryptoQuant, long-term Bitcoin holders have sold around 815,000 BTC over the past 30 days, the highest activity since early 2024.

Bitcoin has been riding high since President Donald Trump’s election in 2024. The crypto lobby came together to back his campaign, and it paid off. The Trump administration has rolled back crypto regulations, appointed cryptocurrency industry-approved officials, and ended investigations into crypto-related crime. For example, just last month, Trump pardoned the founder of cryptocurrency exchange Binance, who was sentenced to prison for money laundering.

However, a relatively small number of people actually partake in cryptocurrency trading. In turn, this means that the actions of long-term holders and crypto whales can really sway the market, and this fact — combined with that lackluster market sentiment — is likely what we’re seeing now.

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For a limited time, Microsoft Office 2024 Home & Business for Mac or PC is on sale for $129.97 (reg. $249.99), and this promo runs through May 31 at 11:59 p.m. PT.

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#Microsofts #core #productivity #apps #Office">Get Microsoft’s core productivity apps for 0 with Office 2024 TL;DR: Microsoft Office 2024 Home & Business is on sale for 9.97 (reg. 9.99) through May 31 at 11:59 p.m. PT. 9.97 9.99 Save 0.02   Subscription prices keep climbing, and productivity software is no exception. If you’re tired of monthly payments just to use Word or Excel, this Microsoft Office 2024 Home & Business deal is a refreshing alternative.For a limited time, Microsoft Office 2024 Home & Business for Mac or PC is on sale for 9.97 (reg. 9.99), and this promo runs through May 31 at 11:59 p.m. PT. Mashable Deals By signing up, you agree to receive recurring automated SMS marketing messages from Mashable Deals at the number provided. Msg and data rates may apply. Up to 2 messages/day. Reply STOP to opt out, HELP for help. Consent is not a condition of purchase. See our Privacy Policy and Terms of Use. This version includes the classic Microsoft apps most of us rely on every day: Word, Excel, PowerPoint, Outlook, and OneNote. Instead of subscribing to Microsoft 365, Office 2024 is a one-time purchase, perfect for those who’d rather own their software outright.As we’ve discussed before with other Microsoft Office deals, the biggest draw is the combination of familiarity with newer AI-powered tools and performance upgrades. Word now includes Smart Compose suggestions to help speed up writing, while PowerPoint adds improved presentation recording tools with voice narration, video support, and live camera integration for remote meetings or presentations.Excel also gets some of the biggest upgrades this time around. Microsoft says it now handles larger datasets and multiple spreadsheets more smoothly, plus it brings AI-powered insights to help you spot trends and build visualizations faster.For business users, Outlook remains a huge perk, bundled with Word, Excel, PowerPoint, and OneNote in the Home & Business edition. Built-in collaboration tools — such as real-time co-authoring, comments, version history, and Microsoft Teams integration — make working with others much easier and more tolerable.Another practical feature is offline access. Unlike Microsoft 365’s cloud-first approach, Office 2024 works well for anyone who wants reliable software without being online all the time. Mashable Deals By signing up, you agree to receive recurring automated SMS marketing messages from Mashable Deals at the number provided. Msg and data rates may apply. Up to 2 messages/day. Reply STOP to opt out, HELP for help. Consent is not a condition of purchase. See our Privacy Policy and Terms of Use. This deal is a smart option for freelancers, students, remote workers, small business owners, or anyone clinging to an older Office version and wanting an affordable, up-to-date setup without another recurring bill.Microsoft Office 2024 Home & Business is currently available for 9.97, 48% off, through May 31 at 11:59 p.m. PT.StackSocial prices subject to change. #Microsofts #core #productivity #apps #Office

Microsoft Office 2024 Home & Business is on sale for $129.97 (reg. $249.99) through May 31 at 11:59 p.m. PT.

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Subscription prices keep climbing, and productivity software is no exception. If you’re tired of monthly payments just to use Word or Excel, this Microsoft Office 2024 Home & Business deal is a refreshing alternative.

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This version includes the classic Microsoft apps most of us rely on every day: Word, Excel, PowerPoint, Outlook, and OneNote. Instead of subscribing to Microsoft 365, Office 2024 is a one-time purchase, perfect for those who’d rather own their software outright.

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StackSocial prices subject to change.

#Microsofts #core #productivity #apps #Office">Get Microsoft’s core productivity apps for $130 with Office 2024

TL;DR: Microsoft Office 2024 Home & Business is on sale for $129.97 (reg. $249.99) through May 31 at 11:59 p.m. PT.

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Subscription prices keep climbing, and productivity software is no exception. If you’re tired of monthly payments just to use Word or Excel, this Microsoft Office 2024 Home & Business deal is a refreshing alternative.

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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

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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

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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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