Elon Musk's xAI Secures $6 Billion in Funding From Major Investors Fidelity, Sequoia Capital, and Andreessen Horowitz from tiny nude models Watch Video

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✓ Published: 29-May-2024
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Elon Musk's AI startup xAI has raised $6 billion in a Series B funding round valuing the company at $24 billion. Major investors in the round include Fidelity, Sequoia Capital, Andreessen Horowitz, Prince Alwaleed Bin Talal, and Kingdom Holding. The company's first major product is an AI assistant called Grok that is available to premium users of Elon Musk's social media platform X. Grok competes with AI models like GPT-4, Claude, and Llama and aims to provide an advanced language model. xAI is central to Elon Musk's turnaround plans for X after facing challenges since acquiring Twitter.

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Elon Musk's AI startup xAI has raised $6 billion in a Series B funding round valuing the company at $24 billion. Major investors in the round include Fidelity, Sequoia Capital, Andreessen Horowitz, Prince Alwaleed Bin Talal, and Kingdom Holding. The company's first major product is an AI assistant called Grok that is available to premium users of Elon Musk's social media platform X. Grok competes with AI models like GPT-4, Claude, and Llama and aims to provide an advanced language model. xAI is central to Elon Musk's turnaround plans for X after facing challenges since acquiring Twitter.
⏲ 0:41 👁 240K
Major questions over Wembley Stadium's security will be asked once again following a turbulent Champions League final that saw pitch invasions and 53 arrests.<br/><br/>Real Madrid claimed a record-extending 15th Champions League last night thanks to goals from Dani Carvajal and Vinicius Jr as they defeated Borussia Dortmund 2-0 in European club football's annual flagship match, this year hosted in London. <br/><br/>But the event was soured for some before kick-off when fans were seen charging towards the iconic stadium and attempting to enter via the 'Club Wembley' entrance, before being pushed back and turned away by security.<br/><br/>A series of pitch invaders then ran across the turf unchallenged in the early minutes of the match, forcing a halt in play. One of the people who ran onto the pitch stopped to take a selfie with Real Madrid star Vinicius Junior in what appeared to be an online dare with a cash reward up for grabs.<br/><br/>Then, following the full-time whistle, exclusive footage obtained by MailOnline appeared to show fans streaming through a stadium side door as the trophy ceremony was underway.<br/><br/>These lapses came despite a £ 5 million ring of steel defense being put in place by the Football Association to avoid a repeat of England's Euro 2020 day of shame.<br/><br/>That final - held in 2021 having been delayed due to the COVID-19 pandemic - saw ticketless fans storming the gates to gain access to the stadium.<br/><br/>Footage from outside Wembley tonight showed a group of men - many of whose faces were hidden under hoods - attempting to rush the stadium entrances, in scenes reminiscent of the 2021 events, albeit not on the same scale.<br/><br/>Some could be seen getting inside the Club Wembley entrance as they broke past security but were quickly turned around.<br/><br/>As well as this, the video outside the stadium shows what appears to be men fighting on the ground.<br/><br/>To combat this, police mounted on horses rushed in as reinforcements with riot police also seen marching down the street to regain control.<br/><br/>There were chaotic scenes inside the stadium, too, when shortly after kick-off, Wembley Stadium security staff had to jump into action to remove two pitch invaders.<br/><br/>Another person then ran onto the field to the visible annoyance of some players. <br/><br/>It took four security staff to apprehend the last invader, marking a shaky start to the night. Police later said five pitch invaders had been arrested.<br/><br/>It has since been revealed that a controversial Russian streamer promised the pitch invaders who stormed the Wembley turf £300,000.<br/><br/>The troublemakers wore t-shirts promoting 'Mellstroy', a scandalous vlogger who offered the prize reward to anyone who would invade the pitch in his name. <br/><br/>In 2020, the Moscow-based streamer Andrey Burim beat up a model and smashed her head onto a table during a YouTube livestream. <br/><br/>Burim also grabbed the model, Alena Efremova, by the neck during a social media party live-streamed to his then-680,000 YouTube subscribers. <br/><br/>The attack left a traumatized Efremova
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Declan Donaghy (25) from Tiny House Coffee in Antrim reveals how him and his brother turned a forgotten car park into one of Antrim's favourite coffee spots.<br/>Take a look around...
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A tiny #fern #plant has been discovered that contains the largest amount of #DNA stored in the nucleus of any living organism on the planet. <br/>Found in New Caledonia on a remote Pacific island, the tiny fork fern now holds three Guinness World Record titles. If its DNA was unraveled it would reach just over 100 meters – higher than the tower that's home to the world-famous Big Ben bell in London.<br/><br/>Study co-author Ilia Leitch, researcher at the UK's Royal Botanic Gardens Kew, speaks to CGTN Europe about this amazing plant.
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Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \
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In a caption on a repost of an image from her collaboration with the brand, model Hailey Bieber revealed she shot her new Saint Lauren promotion while four months pregnant with her and husband Justin Bieber’s first child – who she calls her “little bean”.
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Top 4 Beautiful girl doing leg exercises #pakkgp<br/>A popular video showcasing four beautiful women performing leg exercises has captured significant attention. Each of them demonstrates a variety of routines, including squats, lunges, leg presses, and deadlifts, highlighting the importance of lower body strength and fitness. The backdrop of a sleek, modern gym adds to the video's appeal. Their dedication and form not only inspire viewers to prioritize leg workouts but also emphasize the benefits of maintaining a toned and strong physique. This engaging visual serves as a motivating example for fitness enthusiasts looking to enhance their leg day routines.<br/>Buy products click the link <br/>https://amzn.to/4c3dXpj<br/>
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