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Massivelyop

WRUP: Mom says it’s my turn to lie about what mom says edition

Weekly game roundup show called 'Who’s The Biggest Boor!' featuring contestants JACOB and EDGAR.
Contestants provide quirky responses to questions unrelated to the game, leading to humor.
Bonus question posed about running a magic greenhouse to grow crops with no restrictions.
Various gaming personalities share their gaming plans for the weekend.
Andrew Ross plans to play Mario Kart, Monster Hunter, Splatoon, and Pokemon Go.
Brianna Royce mentions setting up a new Steam Deck and exploring new Palia content.
Chris Neal will check out Palia and play Guild Wars 2, contemplating his main character.
Eliot Lefebvre will play Warframe, FF XIV, and single-player games, considering growing potatoes or pawpaws.
Sam Kash is playing Dune Awakening and intends to farm cucumbers for pickles, and possibly run an apiary.
Tyler Edwards discusses playing Path of Exile and Immortal: Gates of Pyre, with a bonus plan to grow saffron for money.
Fun weekend game plans shared by Massively OP community and staff, seeking input from readers.

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TechJuice

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Google Drops $200M AI Labeling Deal After Meta’s Scale AI Move

Google has withdrawn from a $200 million AI data-labeling deal with Scale AI following Meta's acquisition of a stake in the company.
Concerns over data privacy and strategic neutrality led to the collapse of the deal between Google and Scale AI.
Google's decision has prompted other tech giants like Microsoft and xAI to reconsider their contracts with Scale AI, emphasizing the importance of vendor neutrality.
Alternative labeling platforms such as Labelbox, Turing, Handshake, and Mercor are gaining traction amidst concerns over Meta's influence on Scale AI.
Scale AI, valued at $29 billion, faces business pressure after losing Google as a key client, impacting its revenue forecasts.
Data labeling has become crucial in AI development, with companies increasingly seeking secure and neutral platforms for training data.
Meta's involvement in Scale AI has raised antitrust concerns, leading to scrutiny over monopolistic behavior in the AI industry.
Google's exit may signal a shift in data-labeling partnerships, with companies likely to reassess collaborations in the evolving AI landscape.

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Medium

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Meta Strikes Major Energy Deals to Power AI Expansion | VBM

The demand for AI-driven computing has surged, leading to a need for significant energy resources.
Meta is investing in geothermal and nuclear power to meet the energy demands of AI development and reduce carbon emissions.
Meta's partnership with XGS Energy focuses on advanced geothermal electricity, a water-independent technology, projected to power Meta's data centers by 2030.
Meta has also signed a deal with Constellation Energy to purchase all electricity from the Clinton Clean Energy Center for 20 years starting in 2027.
This agreement will boost the plant's capacity by 30 megawatts, safeguarding local jobs and generating $13.5 million annually in tax revenue.
Meta's energy strategy highlights a move towards sustainable practices in AI infrastructure.
The increasing adoption of AI is likely to result in more tech-nuclear collaborations and geothermal advancements to shape data center energy consumption.
The partnership with XGS Energy aims to develop geothermal electricity technology that does not depend on natural water sources.
The phased geothermal project is scheduled to support Meta's data centers in the region and become operational by 2030.
A separate deal with Constellation Energy involves Meta buying all power generated by the Clinton Clean Energy Center for the next two decades.
The agreement with Constellation Energy is set to enhance the plant's power output by 30 megawatts and benefit the local economy.
Meta's focus on sustainable energy sources marks a shift towards environmental responsibility in AI infrastructure.
As AI technology advances, more partnerships between technology companies and energy providers may emerge to drive energy-efficient practices.
Tech-giant investments in clean and reliable energy sources are becoming crucial for supporting AI innovation and reducing environmental impact.
The collaboration with XGS Energy and Constellation Energy underscores Meta's commitment to sourcing sustainable power for its operations.
Expect future developments in energy technologies as companies like Meta prioritize eco-friendly solutions to power their AI infrastructure.

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Hackernoon

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Facebook Is Watching and Tracking Kids As They Prep for College

Facebook utilizes the Meta Pixel to track user activities across various websites, including those frequented by high school students preparing for college.
Businesses embed the Meta Pixel on their websites to gather customer data for targeted advertising on Facebook and Instagram.
Sensitive information from hospitals, tax filing websites, and mental health crisis sites is also transmitted to social media companies via the pixel.
Numerous educational sites for kids, from kindergarten to college, were found to have the Meta Pixel tracking visitors, raising concerns about web tracking practices involving minors.
Facebook can link website visitors to their Facebook accounts using the data collected by the pixel, enabling precise ad targeting.
Sites like the ACT and Common App were identified as using the pixel, potentially sharing personal data with Facebook, prompting concerns about user privacy.
Despite restrictions on data collection for users under 13, some educational sites directed at kids were found to track visitors using the Meta Pixel.
The evolving relationship between Facebook and young users has raised questions about data privacy, especially concerning the tracking of minors.
Legislation like COPPA exists to protect children's online privacy, but enforcement and interpretation challenges persist, particularly regarding data collection practices for minors.
The lack of comprehensive federal privacy regulations and technical limitations in assessing privacy concerns for students present ongoing challenges in safeguarding child data online.

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Siliconangle

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Users of new Meta AI app unknowingly make chatbot logs public

Some users of Meta AI app unintentionally made chatbot conversations public.
Cybersecurity researcher found public chat logs with sensitive information.
Meta AI is a new standalone app by Meta Platforms Inc. with chatbot functionalities.
The app can generate images, personalized responses based on user data, and search the web.
Users can inadvertently share chatbot responses to a public Discovery feed.
It's reported that the Share button doesn't clearly indicate public sharing.
Meta offers ways to delete shared posts on the app.
Meta AI app has been downloaded around 6.5 million times since its release in late April.
The app embedded in social media services has over 1 billion monthly users.
Meta faced fines in the EU over privacy issues, including interface design choices.
Potential implications of data leaks from Meta AI app's Share button remain uncertain.
Other aspects of Meta's consumer AI strategy, like AI-powered profiles, have faced criticism.
Meta deleted AI-powered Facebook and Instagram profiles earlier this year due to user feedback.
The extent of inadvertent data exposure might attract regulatory scrutiny for Meta.
Meta CEO thanked the community for supporting free and relevant content.
Community includes notable experts like Amazon.com CEO Andy Jassy and others.

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TechCrunch

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New details emerge on Meta’s $14.3B deal for Scale

Meta is set to acquire a 49% stake in AI startup Scale through a $14.3 billion deal.
The deal values Scale at over $29 billion, providing liquidity to shareholders and vested equity holders.
Meta will hire Scale's CEO Alexandr Wang, known for dropping out of MIT to start the company.
Contrary to initial assumptions, existing shareholders will receive dividends, not sell shares to Meta.
Accel, an early backer of Scale, is expected to receive a $2.5 billion payout.
Scale, with backers like Amazon and Meta, was last valued at $14 billion prior to the deal.
Regulatory approval will be needed for the significant payout in the deal.

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BGR

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The Meta AI app is currently going viral for all the wrong reasons

Meta AI app was launched by Meta in late April as a competitor to ChatGPT.
The app includes social features which allow users to share their chats with others via a social feed.
Meta's focus on social features is driven by its reliance on social media for revenue.
Recent viral attention to the Meta AI app has been due to users sharing inappropriate chats online.
The issue highlights the potential privacy concerns when sharing AI chat conversations.
While sharing AI chats is optional, some users have inadvertently shared disturbing conversations online.
Meta might need to improve user education on the implications of sharing chats on the platform.
The incident raises questions about privacy in AI experiences and the responsibility of AI firms.
Meta could do better in communicating how shared chats will be displayed on the Discover feed.
The inappropriate chats circulating on social media paint Meta AI app in a negative light.
The incident undermines the potential benefits of integrating social elements into AI chatbot experiences.
The issue with Meta AI app is not about a standout AI feature but about user privacy faux pas.

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Siliconangle

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Databricks makes its play for AI, Meta plays catch-up, and Chime IPO shines

Databricks aims to lead AI agents, introducing Lakebase database, focusing on democratizing data analytics for all users.
Google Cloud faced disruptions, cause unknown, impacting internet services on Thursday.
Meta strives for AI dominance, acquiring Scale AI, launching J-VEPA 2, and preparing for a superintelligence lab.
Chime IPO successful, raising $700 million, while Oracle and Adobe report solid earnings, GitLab disappoints.
Cisco unveils AI-friendly networking products, as AWS emphasizes cloud infrastructure investments for AI at their summits.
Apple criticized for delays in AI integration, cybersecurity startups raise significant funding, and new AI models and services emerge.
Several funding rounds for AI and tech companies, as well as cybersecurity investments, highlighted in the tech industry.
Disruptions include Google Cloud identity failure causing internet disruptions, while AMD and HP introduce new products.
Various companies raise significant amounts in funding, acquisitions occur, and companies like Uber and Stripe make strategic moves.
Noteworthy tech figures switching roles, including executives from Google, Alteryx, Genesys, and Upwind.
The tech landscape sees advancements in quantum, AR, and robotics, with events like Waymo suspending operations due to vehicle damage in protests.

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Siliconangle

Image Credit: Siliconangle

Databricks makes its play for AI agents, Meta plays catch-up, and Chime’s IPO shines

Databricks aims to lead the way to AI agents using its data platform and new database, Lakebase, targeting AI democratization and data analytics simplification.
Google Cloud faced disruptions impacting internet service, leaving the cause unclear.
Mark Zuckerberg's Meta makes a move to enhance AI capabilities with Scale AI acquisition and CEO appointment for a 'superintelligence lab.'
Chime's IPO raises $700 million, reflecting investor optimism, while Oracle and Adobe report solid earnings and GitLab faces revenue outlook challenges.
Cisco launches AI-friendly networking products, AWS emphasis on data center investment, and Apple criticized for AI delays in Siri.
Cybersecurity funding highlights include Cyera's $540 million raise and Horizon3.ai's $100 million funding.
Meta introduces J-VEPA 2 AI model, OpenAI debuts o3-pro reasoning model, and Google develops AI for tropical cyclone forecasting.
Financial highlights feature Meta's investment talks, OpenAI's $10 billion revenue, and Laurel's $100 million funding for time intelligence tech.
Recent company acquisitions, product launches, and earnings from various tech giants are detailed in the article.
Security updates include Cyera's $6 billion valuation raise and new products and services like Vanta's AI Agent for compliance workflows.
Emerging tech news covers Apple's design and capabilities update, IBM's quantum computer roadmap, Stripe's Privy acquisition, and Uber's robotaxis in London plans.

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Medium

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It’s time to shut down Meta — and prosecute Mark Zuckerberg

TechCrunch revealed how Meta AI app exposed users' private conversations publicly.
Users' audio, texts, and images were exposed under unclear terms.
Asking the chatbot about sensitive topics like tax evasion led to privacy breaches.
Investigations in Europe found Facebook and Instagram accessing users' browsing history via hidden ports.
Meta Pixel was used to link browsing data to real identities, even when not logged in.
Meta denied allegations but paused the system after exposure.
The company has a history of breaking rules first and seeking permission later.
The actions of Meta have been deemed a violation of basic trust by many.
Calls have been made to shut down Meta and prosecute Mark Zuckerberg.
The company's practices have been criticized as beyond law breaking and borderline obscene.
The extent of privacy breaches by Meta has raised serious concerns.
The covert methods used by Meta to gather user data have faced backlash.
Meta's conduct has sparked outrage among users and privacy advocates.
Meta's approach of prioritizing data collection over user privacy has been condemned.
Concerns have been raised about the lack of clear understanding of Meta's data usage policies.
The ongoing controversies surrounding Meta have prompted discussions on data privacy regulations.
Meta's actions have reignited debates on the ethical use of technology in the digital age.

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TechCrunch

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Meta’s big AI bet and our not-so-hot-take on fintech IPOs

Meta has made a $14.3 billion bet on data-labeling company Scale AI, taking a 49% stake in the company.
Meta's move shows urgency to compete in the AI race, despite unclear strategy against heavyweights like OpenAI and Google.
TechCrunch's Equity podcast analyzes the deal, featuring Scale's co-founder Alexandr Wang joining Meta's team.
The podcast discusses if Meta is truly buying a game-changer or just adding a well-connected dealmaker to its team.
Chime's IPO priced above expectations at $27 per share and had a strong initial trading performance.
Y Combinator's Demo Day featured AI startups focusing on autonomous software, reflecting on AI-driven task automation in the gig economy.
Jony Ive’s LoveFrom collaborated with Rivian on their first electric bike, with a bike-like form factor confirmed.

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Massivelyop

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Gachapwned: How gacha MMOs drown us in progression and randomness

Gacha games thrive by offering a mix of content and progression systems with heavy reliance on randomness.
Games like Honkai Star Rail feature intricate gearing systems with multiple elements to optimize for, contributing to long-term engagement.
Players must navigate various progression systems that are time-consuming and require strategic planning to maximize efficiency.
These progression mechanics are designed to keep players constantly striving for advancements, creating a self-directed but prolonged grind.
The randomness and complexity in gacha games mirror elements of roguelike games, where initial luck shapes subsequent gameplay.
The game mechanics subtly encourage continuous play and monetary investment through a variety of progression paths.
Despite the predatory nature of some gacha mechanics, the gameplay elements and progression systems offer engaging experiences.
The interconnected progression systems ensure that players are constantly working towards goals, enhancing long-term retention.
Gachapwned series explores the impact of gacha games on the MMO industry, delving into player engagement and financial dynamics.
The analysis sheds light on the addictive nature of gacha mechanics and the intricate balance between player agency and monetization strategies.

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Medium

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Zuck’s $15B Bet on the Man Behind ChatGPT

Mark Zuckerberg made a $15 billion bet on Alexandr Wang, a key figure in the AI industry.
Wang, the founder of Scale AI, focuses on transforming raw data into valuable information for AI models.
His company provides labeled data, essential for various AI applications like autonomous vehicles and surveillance systems.
Wang essentially owns the infrastructure that powers many AI models across different sectors.
Companies like Meta are seeking Wang's expertise to stay ahead in the AI race.
Wang's influence extends to providing insights, shortcuts, and strategic advantages to Meta.
He is considered a threat due to his connections, including being trusted by the Pentagon.
Wang's approach is about global dominance and establishing a strong position in the AI arms race.
His focus on infrastructure and data labeling has positioned him as a key player in the AI industry.
Wang holds a significant role in shaping the future of AI and its strategic implications.
Zuckerberg's investment in Wang signifies the importance of controlling the AI pipelines and securing a dominant position.
Wang's quiet yet impactful presence has made him a crucial player in the AI landscape.
His role highlights the significance of owning the technology that underpins AI advancements.
Wang's positioning and influence could determine the trajectory of AI development for the foreseeable future.
His strategic approach to AI infrastructure has positioned him as a powerful figure in the industry.
Wang's control over vital AI components could shape the technological landscape for the next century.
He has effectively established himself as a key player in the AI arms race, with significant control over essential AI technology.

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TechDigest

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Meta sues ‘nudify’ app firm amid calls for broader crackdown

Meta has filed a lawsuit against CrushAI apps for promoting 'nudify' apps generating fake nude images using AI without consent.
Experts, like Alexios Mantzarlis, urge Meta to intensify efforts due to the proliferation of such apps.
The apps raise concerns over predator misuse, as highlighted by Matthew Sowemimo of NSPCC.
The Children’s Commissioner for England calls for a ban on 'nudify' apps and their advertisements in the UK.
Meta acknowledges the challenge and has created new technology to counter elusive ads.
Despite Meta's actions, the issue persists, indicating an ongoing battle against AI-generated abuse.

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Ars Technica

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Meta beefs up disappointing AI division with $15 billion Scale AI investment

Meta has invested $15 billion in data-labeling startup Scale AI and brought in co-founder Alexandr Wang to bolster its AI division in a competitive market.
The investment values Scale AI at $29 billion, doubling its valuation from last year, with Meta set to own 49 percent of Scale's equity.
Wang, now at Meta, will focus on AI efforts, while continuing his role on Scale's board; Jason Droege joins Scale as chief strategy officer.
The deal signifies Meta's push to enhance its AI capabilities, reflecting a trend of tech giants investing in startups to bolster talent and technology.
Meta's heavy investment in generative AI and data solutions underscores the high demand for quality data to train advanced AI models.
Meta aims to surpass competitors with its AI models by 2025, although its recent Llama 4 release has fallen short on certain benchmarks.
Meta's long-term AI goal, championed by chief AI scientist Yann LeCun, is to achieve superintelligence beyond human capabilities.
Scale AI's core business involves data-labeling to ensure accurate categorization for training AI models, catering to industry demands.
Initial investors in Scale AI, such as Accel, Tiger Global Management, and Index Ventures, are expected to profit significantly from the Meta investment.
The collaboration between Meta and Scale AI signals a strategic move in advancing AI technologies and data solutions within the industry.

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