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Meta has released SAM 3 and SAM 3D, new image segmentation models that enhance object recognition and enable 3D reconstruction of images. SAM 3 allows users to edit images through detailed text prompts, while SAM 3D can rebuild objects and people in 3D. Both models aim to improve creative applications and user interactions in various digital environments.
Meta has named Dina Powell McCormick as its new president and vice chair. She will focus on developing government partnerships to finance and deploy data centers globally, as the company ramps up efforts to build its AI infrastructure. The initiative aims to secure significant computing power for Meta's artificial intelligence models.
Yann LeCun, Meta's chief AI scientist, plans to leave the company to start his own venture focused on world models. His departure comes as Meta restructures its AI division amid increasing competition from rivals. LeCun has expressed skepticism about the current state of AI technology.
Meta has released new AI models internally this month, which CTO Andrew Bosworth claims are promising. While details remain sparse, reports suggest that the company is developing a large language model and AI models for images and videos, referred to as Avocado and Mango.
Apple has lost at least four AI researchers, including a senior Siri executive, to companies like Meta and Google DeepMind. Notable departures include Yinfei Yang, who is starting a new venture, and Haoxuan You and Bailin Wang, who joined Meta's AI teams.
Meta's Chief Technology Officer, Andrew Bosworth, announced that the company's new AI team has developed its first significant models internally. Despite previous criticism of their Llama 4 model, the new models show promise and are expected to enhance consumer AI products in the coming years.
This article examines Meta's Llama AI models, focusing on their capabilities and limitations for developers. It tests Llama 3.2 on CRUD operations using the Svelte framework and discusses the setup process and comparisons with other AI models.
China is reviewing Meta's acquisition of AI startup Manus, valued at $2.5 billion, as a warning to local entrepreneurs tempted by U.S. buyouts. The Chinese government aims to control its AI technologies amidst a growing tech rivalry with the U.S.
Meta's recent quarterly report shows strong user growth and increased ad revenue, driven largely by AI advancements. Despite a significant tax charge, their expenses are rising, particularly in R&D for AI and Reality Labs, where losses continue but show potential for improvement.
Yann LeCun, Meta's chief AI scientist, is exploring the possibility of leaving the company to create a startup focused on world models. He has been in talks with associates and investors about this new direction, which diverges from Meta's current focus on large language models. His plans remain uncertain, and he may decide to stay with Meta.
Meta has acquired Limitless, an AI startup known for its conversation-recording pendant. The company will discontinue its hardware sales but will support existing customers for a year, transitioning them to a new unlimited plan. Limitless aims to assist Meta in developing AI-enabled wearables as competition in the market intensifies.
Meta acquired Manus for $2.5 billion, with Manus reporting $100 million in annual recurring revenue and processing 147 trillion tokens in eight months. The article compares gross profit per token among six AI companies, suggesting that investors value monetization efficiency over raw token volume.
Yann LeCun, a key figure in AI development, is increasingly at odds with Meta's direction. He is considering leaving the company to start a venture focused on world models, which he believes could advance AI more effectively than Meta's emphasis on language models.
This article discusses how companies like Google and Meta are embedding AI into their services without giving users control over its use. It highlights concerns about privacy, personalized advertising, and the potential impacts on users as they navigate a heavily AI-influenced digital landscape.
This article explores how to optimize brand-building campaigns on Meta using data-driven insights. It highlights the importance of campaign objectives, creative types, and frequency in influencing brand metrics like awareness and purchase intent. The findings underscore the value of both high-quality and low-fi creatives within targeted audiences.
Meta AI is set to launch a new model called Avocado, alongside updates that include app integrations with Gmail and Google Calendar. The company is also working on voice agents, scheduled tasks, and potential collaborations with other AI models like Gemini and ChatGPT. While the new features show promise, the performance of the Avocado model remains questionable.
Starting in 2026, Meta will evaluate employee performance based on their use of AI to enhance productivity. The company is promoting an AI-native culture by rewarding workers who drive significant results with AI tools and introducing an AI Performance Assistant for performance reviews.
Meta is planning to test subscription models for Instagram, Facebook, and WhatsApp, allowing paid users access to enhanced features and AI capabilities. The subscriptions aim to monetize Meta's investments in AI, including its recent acquisition of Manus. Users will get some features for free, while others, like the full version of the Vibes video tool, will require payment.
Meta's AI strategy is in turmoil as CEO Mark Zuckerberg shifts focus from open-source Llama models to developing a proprietary model named Avocado. The company's recent hires and restructuring have created pressure to compete effectively against rivals like OpenAI and Google, despite ongoing challenges in its core advertising business.
Yann LeCun, Meta's chief AI scientist, plans to leave the company to launch his own startup focused on world models. His departure comes as Meta restructures its AI unit in response to competition from rivals like OpenAI and Google. LeCun has expressed skepticism about the current hype surrounding AI technologies.
Meta has purchased Manus, a Singapore-based AI startup, for $2 billion. Manus's technology allows for more autonomous decision-making compared to traditional chatbots, which could enhance Meta's platforms and user engagement. The acquisition faces potential regulatory scrutiny due to Manus's Chinese connections.
Meta plans to test premium subscription models for Instagram, Facebook, and WhatsApp, offering features that enhance user control and creativity. Instagram will focus on tools for creators, while the specifics for Facebook and WhatsApp are still being defined. The company aims to integrate AI into these offerings and will seek user feedback throughout the testing phase.
Mark Zuckerberg and Andy Jassy are vying for dominance in digital advertising. Zuckerberg promotes Meta's AI capabilities to attract ad budgets, while Jassy showcases Amazon's tools and data advantages, aiming to disrupt traditional advertising channels. Both leaders are eyeing a bigger share of the market, but Amazon's unique position could give it an edge.
Dina Powell McCormick is appointed President and Vice Chairman of Meta, after previously serving on its Board of Directors. She will guide the company’s strategy and manage significant investments in infrastructure and global connectivity. Her background includes extensive experience in finance and public service under two U.S. presidents.
Meta is moving away from its open-source AI strategy to develop a closed, paid model named Avocado, set to launch in spring 2026. This change reflects a significant pivot in its approach, aligning more closely with competitors like Google and OpenAI. The new Chief AI Officer, Alexandr Wang, supports this transition.
Meta plans to lay off about 10% of its Reality Labs employees due to ongoing financial losses, totaling around $70 billion since 2020. The division focuses on metaverse products, which have failed to gain consumer traction, prompting a shift in the company’s focus toward AI development.
Mark Zuckerberg announced that Meta will unveil new AI models and products in the coming months, focusing on AI-driven commerce. He emphasized the unique value of Meta’s access to personal data for creating personalized shopping tools. The company plans significant infrastructure investments to support these efforts.
Meta has rolled out new AI features for Facebook, allowing users to animate their profile pictures with preset motions like confetti and hearts. Users can also enhance Stories and Memories with AI-generated image edits and select animated backdrops for text posts. Custom animations aren't available yet, but Meta plans to add seasonal backgrounds.
Meta has announced partnerships to become a major customer for nuclear power in the U.S., collaborating with TerraPower and Oklo for new reactors and expanding existing plants with Vistra. The company aims to secure substantial electricity for its AI data centers, with new reactors expected by 2030 and 2032.
This article explains how Meta is using backend aggregation (BAG) to connect thousands of GPUs across multiple data centers for its Prometheus AI cluster. BAG facilitates high-capacity networking, enabling the infrastructure to meet the demands of large-scale AI applications. It details the technical aspects of BAG's design and implementation, emphasizing performance and reliability.
Google is teaming up with Meta to create “TorchTPU,” a software initiative designed to help developers transition from Nvidia's hardware to Google's TPUs while using the PyTorch framework. This collaboration aims to reduce reliance on Nvidia's software tools. Google is also planning to sell TPUs worth billions to Meta.
Alan Dye, Apple’s head of user interface design, is joining Meta, marking a significant shift as the company focuses on AI-driven consumer devices. Apple will replace Dye with designer Stephen Lemay. This move highlights Meta's ambitions in the tech space.
Meta has integrated AI editing tools into Instagram Stories, allowing users to modify images and videos using text prompts. Features include adding or removing elements and applying preset effects. Users should be aware that using these tools means accepting terms that allow Meta to analyze their media.
Apple has lost several key members from its AI and Siri teams, including four researchers who are moving to Meta and Google DeepMind. Notably, Stuart Bowers, a senior executive, is joining Google to work on AI models that Apple is also using for Siri's upgrade. This follows significant organizational changes within Apple's AI division.
Meta reported a 25% increase in revenue for Q4 2025, driven by a surge in ad impressions and prices as it leverages AI in its advertising model. The company now has 3.58 billion daily users, reflecting its massive reach in the digital ad market.
Meta is set to buy Manus, a Singapore-based AI startup founded by Chinese entrepreneurs, for over $2 billion. Manus is known for its AI agent that creates detailed research reports and custom websites, utilizing advanced AI models. This acquisition highlights Meta's strategic push into AI as it competes with firms like Google and Microsoft.
Meta's new AI team, led by Alexandr Wang, is clashing with existing executives who focus on the social media side of the business. The AI researchers aim for groundbreaking developments, leading to budget cuts in other departments, notably Reality Labs. This has created a divide within the company.
Meta is creating a new AI model called Mango for image and video generation, along with a text-based model named Avocado aimed at improving coding capabilities. These models are expected to launch in early 2026, following a major restructuring of Meta's AI team that included hiring over 20 researchers from OpenAI.
Meta has introduced Segment Anything Model 3 (SAM 3), which enhances object detection, segmentation, and tracking in images and videos using text and visual prompts. The release includes model checkpoints, a new playground for experimentation, and applications in platforms like Facebook Marketplace and Instagram's Edits app. SAM 3 also features a data engine that combines AI and human annotators to speed up image and video annotation.
Tesla's team lead for the Optimus AI project has left the company to join Meta. This departure raises questions about the future of Tesla's robotics initiatives as the company continues to innovate in artificial intelligence and electric vehicles.
Meta has unveiled Llama 4, a significant advancement in open-source AI technology, promising improved performance and accessibility for developers. This model aims to enhance the capabilities of AI applications across various industries and is expected to set new standards in the field.
Meta CEO Mark Zuckerberg is launching a new AI superintelligence lab, offering nine-figure compensation packages to attract top talent in the field. The initiative aims to develop an AI surpassing human capabilities, with reports indicating frustration over the company's current AI progress has led to a more hands-on approach from Zuckerberg.
OpenAI is significantly increasing its stock-based compensation to $4.4 billion to counteract Meta's aggressive talent acquisition strategies, which have seen the poaching of key researchers. This financial response highlights the intense competition for AI talent and the pressures faced by companies to retain top talent amidst escalating costs.
Meta is postponing the release of its flagship AI model, Behemoth, due to challenges in enhancing its capabilities. Initially scheduled for an April launch, the timeline has now shifted to fall or later, raising concerns among staff about the effectiveness of the model compared to prior versions.
Meta has announced a new API for its LLaMA AI models, aiming to provide developers with enhanced access to its advanced AI capabilities. This initiative is part of Meta's ongoing efforts to expand the use of its AI technologies across various applications and platforms.
Meta has launched a standalone app for its AI tool, allowing users to access and utilize its features independently. This move is part of Meta's strategy to enhance user engagement and provide a more streamlined experience for those interested in AI capabilities. The app is designed to cater to a growing demand for AI applications in daily tasks and creative processes.
Apple's decision to abandon an open-source AI initiative due to concerns over performance transparency has led to a significant loss of talent to Meta. Key figures in Apple's AI division have left, citing a clash between Apple's secrecy-driven culture and the collaborative nature of AI research, raising questions about the company's ability to compete in the evolving AI landscape.
Meta has addressed a significant bug that risked exposing users' AI prompts and the content generated by those prompts. This vulnerability raised concerns about user privacy and data security within Meta's AI tools. The fix aims to enhance trust in the platform as it continues to develop AI capabilities.
Meta is revamping its hiring strategies to attract top AI talent by offering bold compensation packages. The company aims to enhance its competitiveness in the rapidly evolving AI landscape, addressing the challenges posed by talent shortages and the need for innovative approaches to recruitment.
Meta is set to purchase chip startup Rivos to enhance its custom semiconductor capabilities, particularly for AI systems. The acquisition will support Meta's development of the Meta Training and Inference Accelerator (MTIA) and follows the company's previous reliance on Nvidia for AI chips. Rivos was valued at approximately $2 billion and has been a significant partner for Meta.
Meta Platforms is offering to purchase a minority stake in funds managed by NFDG, a venture firm founded by former AI hires Nat Friedman and Daniel Gross. This move allows limited partners in the funds to cash out a portion of their investments through a tender offer as Friedman and Gross transition to roles at Meta.
Meta is reportedly collaborating with Prada to develop AI smart glasses, aiming to enhance the integration of fashion and technology. The partnership is expected to leverage both companies' strengths, potentially creating a stylish yet functional wearable device. Details about the release date and specific features remain limited.
Shengjia Zhao, co-creator of ChatGPT, threatened to leave Meta shortly after joining, highlighting challenges in Mark Zuckerberg's ambitious AI restructuring efforts. As Meta recruits new AI leaders, including Zhao and others from major tech firms, the company faces high turnover with several new hires departing quickly after their onboarding.
Meta is establishing a political action committee in California to support candidates from both parties who advocate for lighter regulations on artificial intelligence. The PAC, named "Mobilizing Economic Transformation Across California," aims to influence state-level policies that impact AI innovation amidst a regulatory environment perceived as restrictive.
Meta's AI assistant has reached one billion monthly active users, with plans to enhance personalization and explore monetization options, including paid recommendations and subscription services. During the annual shareholder meeting, investors voted on various proposals, including those related to content moderation and corporate governance, with preliminary results indicating support for management-backed initiatives.
Meta's planned AI data center in Richland Parish, Louisiana, is projected to cost $50 billion, as stated by former President Donald Trump during a cabinet meeting. This facility is expected to provide significant computational power for supporting various digital infrastructures, particularly in artificial intelligence. Meta has not commented on Trump's announcement.
The article discusses Meta's significant investment of $75 billion in AI infrastructure, highlighting the strategic importance of this move in enhancing their technological capabilities and competing in the AI landscape. It analyzes the implications of this investment for both Meta and the broader tech industry.
Meta's CEO Mark Zuckerberg has intensified his AI hiring strategy by acquiring Safe Superintelligence's CEO Daniel Gross and former GitHub CEO Nat Friedman, following an unsuccessful attempt to purchase the startup. This move is part of a broader $14.3 billion investment in AI talent, amidst escalating competition among major tech companies to develop advanced artificial intelligence technologies. The partnership will also involve Meta gaining a stake in Gross and Friedman's venture capital firm, NFDG.
Mark Zuckerberg announced that Meta's investment in artificial intelligence aims to create a "superintelligent" model that can enhance user engagement and empower creativity. As the company reported significant revenue and profit growth, Zuckerberg emphasized the potential of AI to transform user experiences and improve its advertising business.
Mark Zuckerberg is investing $14 billion in Scale AI to bring its CEO, Alexandr Wang, on board to enhance Meta's artificial intelligence capabilities amid growing competition. This strategic move allows Meta to strengthen its AI efforts without acquiring Scale AI outright, while also addressing internal frustrations over recent AI model launches.
Sam Altman, CEO of OpenAI, has been accused of orchestrating a talent poaching spree from Meta, leading to a heated exchange of leaked messages that reveal strategies and tensions between the two tech giants. The situation highlights the competitive landscape in the artificial intelligence sector as companies vie for top talent.
Meta Platforms is in discussions to raise $29 billion from private capital firms to construct artificial intelligence data centers in the U.S. The company is engaging with several major investors, including Apollo Global Management and KKR, amidst rising demand for AI computing power.
Meta plans to invest up to $72 billion in AI infrastructure throughout 2025 as the competition for computing power intensifies among tech giants. This substantial investment is aimed at enhancing Meta's capabilities in artificial intelligence and maintaining its competitive edge in the rapidly evolving tech landscape.
Meta Platforms is set to fully automate ad creation using artificial intelligence by the end of next year. The new system will allow brands to generate ads from scratch, including imagery, video, and text, while automatically targeting users on Facebook and Instagram based on budget goals. This initiative aligns with CEO Mark Zuckerberg's vision for the company's future and is crucial for generating revenue from advertising.
Meta has unveiled its new AI model, V-JEPA 2, designed to enhance understanding of 3D environments and physical object movements, enabling more human-like decision-making. This open-source world model aims to improve technologies like delivery robots and self-driving cars by allowing machines to reason about their surroundings without extensive labeled data. CEO Mark Zuckerberg's focus on AI is underscored by a planned $14 billion investment in artificial intelligence firm Scale AI.
Meta has restructured its AI team by creating the AGI Foundations unit, which will focus on enhancing technologies like the Llama models and multimedia capabilities. This change aims to expedite product development without cutting jobs, despite some talent leaving for competitors. The restructuring is part of Meta's ongoing strategy to improve flexibility and ownership within its teams.
Mark Zuckerberg announced the establishment of Meta Superintelligence Labs (MSL), which will focus on advancing AI superintelligence and be led by key hires including Alexandr Wang and Nat Friedman. The initiative comes as part of a significant investment into AI talent, aiming to enhance Meta's capabilities in developing advanced foundation models and products.
Artificial intelligence is transforming the advertising industry, with major players like WPP investing heavily in AI tools to stay competitive amid threats from big tech companies like Meta and Google. The rise of AI-generated advertising raises concerns about job displacement and the erosion of creativity within agencies, prompting a need for restructuring and adaptation to new client expectations. Despite these challenges, the overall employment and spending in the UK ad sector remain strong for now.
Mark Zuckerberg is personally reaching out to potential AI recruits with lucrative offers, including pay packages exceeding $100 million, as Meta seeks to address its ongoing AI challenges. Despite the enticing financial incentives, many candidates remain cautious due to the company's recent restructuring and struggles in AI development.
Meta is laying off approximately 600 employees from its artificial intelligence unit to streamline operations and reduce redundancy. The cuts primarily affect the AI infrastructure and research teams, while key personnel in the new Superintelligence Labs remain unaffected. CEO Mark Zuckerberg's dissatisfaction with AI progress and the recent lukewarm response to the Llama 4 models have prompted these measures as the company intensifies its AI investments amid competition from rivals like OpenAI and Google.
Andrew Tulloch, co-founder of Thinking Machines Lab, has departed the AI startup to join Meta Platforms, as reported by the Wall Street Journal. His move follows Meta's aggressive recruitment strategy, which includes lucrative offers aimed at attracting talent from competitors in the AI field.
The article discusses Meta's introduction of the Diff Risk Score (DRS), an AI-driven tool designed to assess risks in software development. By incorporating DRS, developers can make more informed decisions, enhancing the overall safety and reliability of their software projects. This innovation aims to reduce vulnerabilities and improve code quality through risk-aware development practices.
Meta has acquired Waveforms, an AI audio startup, to enhance its audio technology and offerings. This acquisition is expected to bolster Meta's capabilities in creating advanced audio experiences for its platforms.
Meta held talks with AI startup Runway regarding a potential acquisition as part of its broader strategy to enhance its AI capabilities, particularly following a significant investment in Scale AI. However, the discussions did not advance and ultimately fell through. Meta has been actively pursuing AI talent and startups to strengthen its position in the sector.
Meta Platforms is moving forward with a strategy to share the financial burden of AI infrastructure by selling $2 billion in data center assets. The company aims to attract external partners for co-developing data centers, reflecting a trend among tech giants to mitigate the soaring costs associated with AI and data center operations.
Ke Yang, head of Apple's AI Answers, Knowledge, and Information team, is leaving to join Meta, marking another departure from Apple's AI unit. Despite around a dozen exits in recent months, the impact on Apple's AI initiatives remains unclear, with no confirmed indications of internal turmoil or project delays.
Meta has successfully recruited two more prominent members from Apple's AI team, Mark Lee and Tom Gunter, following the acquisition of Ruoming Pang. This move is part of Meta's aggressive strategy to enhance its AI capabilities, with CEO Mark Zuckerberg investing heavily in securing top talent from various companies.
A Meta executive has denied allegations that the company artificially inflated benchmark scores for its LLaMA 4 AI model. The claims emerged following scrutiny of the model's performance metrics, raising concerns about transparency and integrity in AI benchmarking practices. Meta emphasizes its commitment to accurate reporting and ethical standards in AI development.
Meta Platforms Inc. is reportedly pursuing former GitHub CEO Nat Friedman to enhance its AI research initiatives, alongside his partner Daniel Gross. The company aims to bolster its AI team amid fierce competition from rivals like OpenAI and Google, recently investing heavily in talent and startups to advance its capabilities in artificial intelligence.
Meta has officially named its new AI team TBD Lab, focused on developing machine superintelligence and the latest version of its Llama language model. The team, led by Chief AI Officer Alexandr Wang, is rapidly expanding, attracting talent from various AI labs.
Mark Zuckerberg has announced Meta's ambitious new initiative focused on developing superintelligence, aiming to enhance artificial intelligence capabilities. The company is also planning to expand its workforce significantly to support this effort, signaling a commitment to advancing AI technology and research.
Meta Platforms' shares jumped 11% after the company forecasted third-quarter revenue exceeding analysts' expectations, driven by advancements in artificial intelligence for its advertising business. Despite rising capital expenditures and scrutiny over its aggressive AI spending, investor confidence remains bolstered by the company's commitment to AI development.
Apple is experiencing a significant loss of AI talent, with the recent departure of Bowen Zhang, the fourth researcher to leave for Meta within a month. This trend highlights ongoing challenges in retaining top AI professionals amid competitive offers from rival companies.
Meta is launching a new AI app aimed at competing with ChatGPT, designed for both iOS and Android platforms. The app promises advanced conversational capabilities and is part of Meta's broader strategy to enhance its AI offerings.
Meta's AI-focused app experienced a significant surge in downloads and daily users following the introduction of its new Vibes AI video feed feature. This spike reflects the growing interest in AI-driven content and its integration into social media platforms, enhancing user engagement and interaction.
Meta is developing "super sensing" facial recognition technology for its upcoming smart glasses, which will recognize individuals and track user activities throughout the day. Initially planned for earlier models but shelved due to privacy concerns, this feature is now being reconsidered and will be opt-in only, as Meta expands its smart glasses lineup and integrates AI capabilities.
Meta Platforms has initiated a hiring freeze in its artificial intelligence division following a significant increase in spending and recruitment of over 50 AI researchers and engineers. The restructuring aims to create a more organized framework for its AI initiatives, although exceptions for external hires may be allowed with approval.
UFC and Meta have announced a multiyear partnership that will enhance fan engagement through Meta's technology platforms, including AI, VR, and social media. The collaboration aims to provide new ways for fans to access UFC content, with innovations like AI glasses and exclusive content on Meta's Threads platform. Financial details of the deal remain undisclosed.
Meta is planning a substantial investment of $15 billion to scale its AI initiatives, which CEO Mark Zuckerberg believes will enhance the company's competitive edge. This investment aims to improve various aspects of Meta's platforms, focusing on integrating advanced AI technologies to foster innovation and efficiency.
Meta Platforms is cutting approximately 600 jobs from its AI division, impacting teams involved in AI products and research. However, the new TBD Lab unit, which focuses on high-profile AI projects, will not be affected by these layoffs, and the company aims to continue hiring AI talent.
Apple has lost its top AI models executive to Meta, marking a significant shift as the latter ramp up its hiring efforts in artificial intelligence. This move reflects the intensifying competition in the tech industry for AI talent, as companies vie for key personnel to drive their innovations forward.
Meta is facing scrutiny over its AI research following recent layoffs, raising concerns about the company's commitment to developing ethical superintelligence. The article discusses the implications of these changes on the future of AI and the challenges Meta faces in maintaining its position in the competitive tech landscape.
Meta Platforms is grappling with internal strife as it recruits top-tier AI talent, leading to dissatisfaction among existing employees. The influx of high-paid researchers has resulted in status divisions and retention challenges, with some new hires already leaving for other labs. The company faces the critical task of balancing talent acquisition with employee morale amidst a competitive AI landscape.
Meta is set to permit job candidates to use AI tools during coding tests, reflecting the technological advancements in software development. The company is currently in an experimental phase and is seeking volunteers for mock interviews to refine this new approach. This decision is part of Meta's broader shift towards an AI-focused strategy following previous setbacks.
The article discusses recent updates at Meta Fair, focusing on advancements in perception, localization, and reasoning technologies. It highlights the company's commitment to enhancing user experience through these innovations, showcasing how they aim to improve AI interactions.
Meta Platforms is exploring potential collaborations with Google and OpenAI to enhance AI functionalities in its applications. The discussions involve integrating Google's Gemini model to improve the conversational capabilities of Meta's primary chatbot, Meta AI.
Meta has appointed Shengjia Zhao as the chief scientist of its new superintelligence lab, which aims to advance the development of artificial general intelligence (AGI). Zhao, previously at Google DeepMind, will lead efforts to explore innovative AI technologies and their implications. This move highlights Meta's commitment to staying at the forefront of AI research and development.
Meta has launched AssetGen 2.0, an advanced AI system for generating 3D assets from text prompts, boasting significantly improved detail and fidelity compared to its predecessor. This new version aims to democratize 3D content creation, making it accessible for users without 3D modeling skills, and is set to be integrated into the Horizon Desktop Editor later this year. Additionally, Meta is exploring AI generation of complete 3D scenes, enhancing creative possibilities for creators.
Meta CEO Mark Zuckerberg announced plans to invest hundreds of billions in AI infrastructure, including the launch of a supercluster named Prometheus next year. In response to recent challenges, Zuckerberg emphasized building a top-tier team at Meta Superintelligence Labs to enhance their AI capabilities and compete with industry leaders like OpenAI and Google.
Oracle is negotiating a $20 billion multi-year cloud computing deal with Meta, aimed at enhancing Meta's AI capabilities by providing additional computing capacity. This move reflects Meta's ongoing efforts to secure faster access to necessary computing power alongside its existing cloud providers.