Tesla, which has been another big beneficiary of Trump's win, continued its post-election slide with shares falling on Friday in premarket trade. Other big names like Nvidia were also lower during the session.
Bitcoin's fall also dragged down other cryptocurrencies. Ether was down around 15%, and XRP plunged 17% from 24 hours prior, at around 07:14 a.m. ET.
Dogecoin briefly shot up in price after the body's creation.
Musk was a major backer of Trump during the Republican's election run, pouring in $277 million primarily into his campaign effort, according to Federal Election Commission filings. Musk is the world's richest person, with a net worth of $439.4 billion, according to Forbes data.
Last month, Bloomberg News reported Trump's transition team was planning to pursue a federal framework for regulating self-driving vehicles.
Tesla and Trump's transition team did not immediately respond to a CNBC request for comment on the report.
If true, the move would offer a major boost to Musk's EV firm. Tesla is staking its future on the idea of rolling out mass fleets of autonomous vehicles, known as "robotaxi" services. At the firm's "We Robot" event in October, Musk unveiled the firm's Cybercab self-driving concept car.
Tesla has yet to deliver on Musk's promise of offering truly autonomous vehicles. Tesla's Autopilot and paid "Full Self-Driving" services still require a human behind the wheel to supervise the system's actions and take over if needed.
In other Tesla-related news, data released by the European Automobile Manufacturers Association on Thursday showed sales of Tesla cars declined 40.9% in November, exceeding the overall 9.5% dip in sales of battery electric cars (BEVs) in the bloc.
Separately, Tesla also on Friday said it was recalling nearly 700,000 vehicles in the U.S. due to an issue with its tire pressure monitoring system. Software-related recalls aren't typically a huge issue for Tesla, however, as it can issue "over-the-air" updates to fix these issues.
A representative for the Teamsters didn't immediately respond to CNBC's inquiry about whether outsiders are participating in the strike.
The Teamsters website says that nearly 10,000 Amazon workers have joined the organization. That represents less than 1% of the company's workforce of 1.53 million, as of Dec. 31, 2023. The union said Thursday's campaign is the largest strike against Amazon in American history.
Amazon has long opposed unions among its workforce, but efforts to organize started materializing in 2022, when warehouse workers on New York's Staten Island voted to join a union.
Amazon had aggressively fought unionization efforts, so it was a stinging defeat for the company.
In June, employees in the Amazon Labor Union, which spearheaded the Staten Island movement, voted to affiliate with the Teamsters after struggling to negotiate a contract with Amazon.
Built on Google’s recently announced Gemini 2.0 Flash model, Gemini 2.0 Flash Thinking Experimental appears to be similar in design to OpenAI’s o1 and other so-called reasoning models. Unlike most AI, reasoning models effectively fact-check themselves, which helps them avoid some of the pitfalls that normally trip up AI models.
As a drawback, reasoning models often take longer — usually seconds to minutes longer — to arrive at solutions.
Given a prompt, Gemini 2.0 Flash Thinking Experimental pauses before responding, considering a number of related prompts and “explaining” its reasoning along the way. After a while, the model summarizes what it considers to be the most accurate answer.
Well — that’s what’s supposed to happen. When I asked Gemini 2.0 Flash Thinking Experimental how many R’s were in the word “strawberry,” it said “two.”
In the wake of the release of o1, there’s been an explosion of reasoning models from rival AI labs — not just Google. In early November, DeepSeek, an AI research company funded by quant traders, launched a preview of its first reasoning model, DeepSeek-R1. That same month, Alibaba’s Qwen team unveiled what it claimed was the first “open” challenger to o1.
Bloomberg reported in October that Google had several teams developing reasoning models. Subsequent reporting by The Information in November revealed that the company has at least 200 researchers focusing on the technology.
What opened the reasoning model floodgates? Well, for one, the search for novel approaches to refine generative AI. As my colleague Max Zeff recently reported, “brute force” techniques to scale up models are no longer yielding the improvements they once did.
Not everyone’s convinced that reasoning models are the best path forward. They tend to be expensive, for one, thanks to the large amount of computing power required to run them. And while they’ve performed well on benchmarks so far, it’s not clear whether reasoning models can maintain this rate of progress.
They all competed for a niche market of underrepresented groups, sexual life-styles, and feminist. When half their potential market didn't show up and support the projects, the studios called them racists, sexist, and homophobic.
The half that's left applauded the movies and shows as stunning and brave, but in the end they don't really pay to watch the movies and shows because they're pretty much crap. So, the studios are left with a even smaller percentage of their potential market.
It's fine if you want to appeal to underrepresented groups. But when EVERYONE is vying for the same underrepresented groups, it makes it hard to win eyes. The total potential market isn't as big. So, with all the competition even the productions at the top of the viewership list aren't getting enough viewership to pay the bills. This is basic stuff. If a studio would make good movies, shows, and games, where men are men, and women are women, and include characters and relationship dynamics that the majority of viewers can relate to and care about, you'll make money.
Kyle Wiggers is a senior reporter at TechCrunch with a special interest in artificial intelligence. His writing has appeared in VentureBeat and Digital Trends, as well as a range of gadget blogs including Android Police, Android Authority, Droid-Life, and XDA-Developers. He lives in Brooklyn with his partner, a piano educator, and dabbles in piano himself. occasionally — if mostly unsuccessfully.
Bluesky is also adding a way to display replies under a post. Users can choose between linear and threaded views. They can also sort replies using different filters like hot, oldest, newest, most-liked, and random.
The social network, which has crossed 25 million users, is also adding new translation language support for Nepali, Khmer, and Romanian.
Ultimately, the consumer won't pay for their transportation per mile driven. They will pay monthly subscriptions, and other companies will also do it. The competition will kick in, driving prices lower (and therefore profit margins). The same will go with energy, and humanoid robots.
!summarize #msnbc #ratings #cablenews
!summarize #nymets #petealonso #mlb #freeagency
!summarize #currency #yuan #usd
!summarize #hollywood #media
Tesla, which has been another big beneficiary of Trump's win, continued its post-election slide with shares falling on Friday in premarket trade. Other big names like Nvidia were also lower during the session.
Bitcoin's fall also dragged down other cryptocurrencies. Ether was down around 15%, and XRP plunged 17% from 24 hours prior, at around 07:14 a.m. ET.
!summarize #minnesota #nyknicks #timberwolves #nba
Dogecoin briefly shot up in price after the body's creation.
Musk was a major backer of Trump during the Republican's election run, pouring in $277 million primarily into his campaign effort, according to Federal Election Commission filings. Musk is the world's richest person, with a net worth of $439.4 billion, according to Forbes data.
Last month, Bloomberg News reported Trump's transition team was planning to pursue a federal framework for regulating self-driving vehicles.
Tesla and Trump's transition team did not immediately respond to a CNBC request for comment on the report.
If true, the move would offer a major boost to Musk's EV firm. Tesla is staking its future on the idea of rolling out mass fleets of autonomous vehicles, known as "robotaxi" services. At the firm's "We Robot" event in October, Musk unveiled the firm's Cybercab self-driving concept car.
Tesla has yet to deliver on Musk's promise of offering truly autonomous vehicles. Tesla's Autopilot and paid "Full Self-Driving" services still require a human behind the wheel to supervise the system's actions and take over if needed.
!summarize #joebiden #president
In other Tesla-related news, data released by the European Automobile Manufacturers Association on Thursday showed sales of Tesla cars declined 40.9% in November, exceeding the overall 9.5% dip in sales of battery electric cars (BEVs) in the bloc.
Separately, Tesla also on Friday said it was recalling nearly 700,000 vehicles in the U.S. due to an issue with its tire pressure monitoring system. Software-related recalls aren't typically a huge issue for Tesla, however, as it can issue "over-the-air" updates to fix these issues.
A representative for the Teamsters didn't immediately respond to CNBC's inquiry about whether outsiders are participating in the strike.
The Teamsters website says that nearly 10,000 Amazon workers have joined the organization. That represents less than 1% of the company's workforce of 1.53 million, as of Dec. 31, 2023. The union said Thursday's campaign is the largest strike against Amazon in American history.
Amazon has long opposed unions among its workforce, but efforts to organize started materializing in 2022, when warehouse workers on New York's Staten Island voted to join a union.
!summarize #nfl #losangeles #chargers #football
!summarize #nfl #nygiants #atlanta #falcons #draftpick #penixjr
Amazon had aggressively fought unionization efforts, so it was a stinging defeat for the company.
In June, employees in the Amazon Labor Union, which spearheaded the Staten Island movement, voted to affiliate with the Teamsters after struggling to negotiate a contract with Amazon.
Built on Google’s recently announced Gemini 2.0 Flash model, Gemini 2.0 Flash Thinking Experimental appears to be similar in design to OpenAI’s o1 and other so-called reasoning models. Unlike most AI, reasoning models effectively fact-check themselves, which helps them avoid some of the pitfalls that normally trip up AI models.
As a drawback, reasoning models often take longer — usually seconds to minutes longer — to arrive at solutions.
!summarize #realestatemoguls #rape #florida
Given a prompt, Gemini 2.0 Flash Thinking Experimental pauses before responding, considering a number of related prompts and “explaining” its reasoning along the way. After a while, the model summarizes what it considers to be the most accurate answer.
Well — that’s what’s supposed to happen. When I asked Gemini 2.0 Flash Thinking Experimental how many R’s were in the word “strawberry,” it said “two.”
Your mileage may vary.
In the wake of the release of o1, there’s been an explosion of reasoning models from rival AI labs — not just Google. In early November, DeepSeek, an AI research company funded by quant traders, launched a preview of its first reasoning model, DeepSeek-R1. That same month, Alibaba’s Qwen team unveiled what it claimed was the first “open” challenger to o1.
Bloomberg reported in October that Google had several teams developing reasoning models. Subsequent reporting by The Information in November revealed that the company has at least 200 researchers focusing on the technology.
!summarize #losangles #chargers #kick
What opened the reasoning model floodgates? Well, for one, the search for novel approaches to refine generative AI. As my colleague Max Zeff recently reported, “brute force” techniques to scale up models are no longer yielding the improvements they once did.
Not everyone’s convinced that reasoning models are the best path forward. They tend to be expensive, for one, thanks to the large amount of computing power required to run them. And while they’ve performed well on benchmarks so far, it’s not clear whether reasoning models can maintain this rate of progress.
They all competed for a niche market of underrepresented groups, sexual life-styles, and feminist. When half their potential market didn't show up and support the projects, the studios called them racists, sexist, and homophobic.
The half that's left applauded the movies and shows as stunning and brave, but in the end they don't really pay to watch the movies and shows because they're pretty much crap. So, the studios are left with a even smaller percentage of their potential market.
It's fine if you want to appeal to underrepresented groups. But when EVERYONE is vying for the same underrepresented groups, it makes it hard to win eyes. The total potential market isn't as big. So, with all the competition even the productions at the top of the viewership list aren't getting enough viewership to pay the bills. This is basic stuff. If a studio would make good movies, shows, and games, where men are men, and women are women, and include characters and relationship dynamics that the majority of viewers can relate to and care about, you'll make money.
Kyle Wiggers is a senior reporter at TechCrunch with a special interest in artificial intelligence. His writing has appeared in VentureBeat and Digital Trends, as well as a range of gadget blogs including Android Police, Android Authority, Droid-Life, and XDA-Developers. He lives in Brooklyn with his partner, a piano educator, and dabbles in piano himself. occasionally — if mostly unsuccessfully.
!summarize #dating #relationships #culture
!summarize #blagojevich #joerogan #governor
!summarize #juniper #tesla #robotaxi
Bluesky is also adding a way to display replies under a post. Users can choose between linear and threaded views. They can also sort replies using different filters like hot, oldest, newest, most-liked, and random.
The social network, which has crossed 25 million users, is also adding new translation language support for Nepali, Khmer, and Romanian.
!summarize #republicans #trump #vote #spendingbill
!summarize #georgestephanopoulos #abcnews #disney
!summarize #biglots #retail #clsoure
!summarize #biglots #retail #history #business
!summarize #biglots #retail #bankruptcy #closure #stores
!summarize #biglots #retail #bankruptcy
!summarize #disney #sonic3 #mefasa #movies #hollywood
!summarize #nil #highschool #football #sports #college
!summarize #joebiden #president
!summarize #nfl #kick #football
!summarize #nba #minnesota #timberwolves #nyknicks
!summarize #nba #threes
!summarize #politics #washingtondc #democrats #republicans #spendingbill
!summarize #tesla #tsla #stock
!summarize #government #trump #spendingbill #government #shutdown
!summarize #sandykoufax #losangeles #dodgers #biography #mlb
!summarize #elonmusk #spendingbill #congress
!summarize #ev #california #supremecourt #lawsuit
Ultimately, the consumer won't pay for their transportation per mile driven. They will pay monthly subscriptions, and other companies will also do it. The competition will kick in, driving prices lower (and therefore profit margins). The same will go with energy, and humanoid robots.
!summarize #charlespayne #thefed #economy
!summarize #hawktuah #crypto #scam #rugpull
!summarize #chicago #cubs #mlb #sammysosa