WAYR TODAY

Author: Editor Agent

  • YouTube TV Unveils Custom Multiview and Tailored Channel Packages

    This article was generated by AI and cites original sources.

    YouTube TV is set to introduce significant updates that will enhance the viewing experience for users. In an announcement, YouTube CEO Neal Mohan revealed the upcoming launch of custom multiview features and 10 new paid plans tailored to specific content genres.

    The multiview feature, which has been gradually expanded since its initial introduction in 2023, will now allow users to watch multiple non-sports channels simultaneously. This enhancement will offer full customization, enabling viewers to personalize their multiview experience by selecting their preferred channels. Whether it’s sports, entertainment, or news, users will have the flexibility to curate their viewing choices.

    Additionally, YouTube TV will roll out genre-specific plans designed to provide subscribers with more control over their channel selection. These new plans aim to offer access to a narrower range of channels within specific categories like sports, entertainment, and news. For instance, the Sports plan will include popular sports networks such as FS1, NBC Sports Network, and ESPN, catering to sports enthusiasts.

    While specific pricing details and launch dates for these updates are yet to be disclosed, YouTube has indicated that the rollout is expected ‘soon.’ These changes are poised to enhance the user experience by offering more tailored viewing options and greater flexibility in channel selection.

    Source: The Verge

  • Adobe Acrobat Introduces AI-Powered Editing and Podcast Summarization Features

    This article was generated by AI and cites original sources.

    Adobe has expanded the capabilities of its Acrobat software by integrating new AI-driven features to enhance user productivity and content creation. The latest update includes tools to generate podcast summaries, create presentations, and edit files using intuitive prompts.

    One key feature is the ability to seamlessly generate podcast summaries directly from audio files or Adobe Spaces. This functionality aligns with the growing demand for personalized audio content, competing with tools like Google’s NotebookLM and Speechify.

    Additionally, Adobe empowers users to create impactful presentations by leveraging AI prompts to extract key information from stored files and notes. This streamlines the process of building visually appealing decks that resonate with the audience.

    The new editing capabilities also simplify the file modification process. Users can perform various actions such as removing pages, text, comments, and images, finding and replacing content, and adding security features like e-signatures and passwords through intuitive prompts.

    Adobe’s strategic move reflects the growing integration of AI-driven solutions in productivity tools, setting a precedent for the seamless incorporation of smart features in everyday workflows.

    Source: TechCrunch

  • OpenAI Ventures into Hardware with Potential Earbuds Device

    This article was generated by AI and cites original sources.

    OpenAI, known for its AI innovations, is expanding into the hardware realm with plans to unveil its first device later this year. During an interview at Davos, OpenAI’s Chief Global Affairs Officer, Chris Lehane, hinted at the upcoming hardware release without divulging specific details.

    Last year, OpenAI acquired Jony Ive’s startup io, suggesting a unique product vision. While the nature of the device remains a mystery, reports indicate it aims to offer a screen-free, portable alternative to smartphones.

    Rumors from Asian sources suggest OpenAI’s debut hardware could take the form of earbuds dubbed ‘Sweet Pea.’ These earbuds may feature a distinctive design and a specialized 2-nanometer processor enabling on-device AI processing, reducing reliance on cloud servers.

    OpenAI is reportedly exploring manufacturing partnerships with Luxshare in China and Foxconn in Taiwan. Initial sales targets aim at shipping 40 to 50 million units, reflecting the company’s hardware ambitions.

    With a massive user base for ChatGPT, OpenAI seeks to enhance its AI assistant’s reach and functionality through proprietary hardware, potentially offering exclusive features. However, penetrating a market dominated by products like AirPods may pose integration challenges.

    Despite past AI hardware endeavors facing mixed outcomes, OpenAI’s venture into earbuds signifies a strategic shift towards holistic control over AI device development and distribution.

    Source: TechCrunch

  • Verizon Extends Phone Unlocking Wait: What Consumers Need to Know

    This article was generated by AI and cites original sources.

    Verizon, a major player in the telecommunications industry, has recently adjusted its phone unlocking policy. Customers activating phones on sub-brands like Visible, TracFone, and Straight Talk will now have to wait 365 days before switching to a different network. This change follows Verizon’s recent permission from the Federal Communications Commission (FCC) to eliminate its previous 60-day unlocking period.

    Unlike the previous automatic unlocking process, customers must now request phone unlocks. Visible’s specific policy allows the 365-day countdown to pause if service payments are stopped, only to resume upon reactivation and continued payments for a full year.

    The FCC allowed Verizon to remove its 60-day unlocking restriction due to spectrum license acquisitions and the TracFone purchase. While Verizon is transitioning to the new 365-day wait, phones activated before January 20th, 2026, will still unlock after 60 days.

    It’s important to note that Verizon will not unlock devices reported lost or stolen, or linked to fraudulent accounts. The extended unlocking period also applies to other services under Verizon, like Net10 Wireless and Simple Mobile.

    This move by Verizon showcases the evolving landscape of phone unlocking policies within the industry, influenced by regulatory decisions and corporate acquisitions.

    Source: The Verge

  • YouTube Empowers Creators with AI Likeness Feature for Shorts

    This article was generated by AI and cites original sources.

    YouTube Shorts, a popular medium on the platform, will soon allow creators to incorporate their own AI-generated likenesses into their Shorts content, according to YouTube CEO Neal Mohan. In his recent announcement, Mohan highlighted that creators will be able to produce games through text prompts, explore music options, and feature their own AI-powered likenesses within Shorts. This addition aims to enhance the user experience on YouTube Shorts by empowering creators with new tools for content creation.

    YouTube’s ongoing investment in Shorts, which currently garners an average of 200 billion daily views, showcases the platform’s commitment to evolving its content creation capabilities. The introduction of AI likeness features will complement existing AI tools for Shorts, including AI clips generation, stickers, and auto-dubbing.

    Moreover, YouTube will provide creators with tools to manage the usage of their likeness in AI-generated content, ensuring control and privacy over their digital presence. This move aligns with YouTube’s efforts to prevent unauthorized use of creators’ likenesses through the implementation of likeness-detection technology.

    As YouTube navigates the evolving landscape of AI-generated content, maintaining a high-quality viewing experience remains a top priority. By empowering creators with new tools and features, YouTube aims to foster a diverse and engaging content ecosystem while upholding content quality standards.

    Source: TechCrunch

  • Unlocking the Untapped Potential of Conventional Geothermal Power

    This article was generated by AI and cites original sources.

    Geothermal power, a vastly underutilized energy source, is gaining attention as Zanskar, a startup, aims to uncover the hidden potential beneath the Earth’s surface. With a recent $115 million funding boost, Zanskar is on a mission to identify geothermal resources that could revolutionize the energy landscape in the U.S. West.

    While the Department of Energy projects geothermal power could contribute up to 10% of U.S. electricity by 2050, Zanskar’s CEO believes these estimates are conservative. The company argues that traditional geothermal methods, often overshadowed by enhanced geothermal techniques, have been underestimated in their capacity to generate power.

    Conventional geothermal, which taps into naturally fractured hotspots, has long been overlooked due to outdated assumptions. Advancements in drilling technologies, however, could unlock a terawatt-scale opportunity by maximizing the output of existing systems.

    Embracing artificial intelligence, Zanskar has revived stagnant geothermal sites, including a power plant in New Mexico, and identified promising locations with significant power potential. This approach has attracted substantial investment, with a $115 million Series C funding round led by Spring Lane Capital and supported by a consortium of sustainability-focused investors.

    Source: TechCrunch

  • Eternal’s CEO Transition Signals Shift in Quick Commerce Landscape

    This article was generated by AI and cites original sources.

    Deepinder Goyal, the co-founder of Zomato and CEO of its parent company Eternal, has announced a significant leadership change. Goyal is stepping down from his role, passing the reins to Albinder Dhindsa, the CEO of Blinkit, Eternal’s quick-commerce division. This move comes as quick commerce gains momentum in the market.

    Goyal emphasized that he will continue to serve on Eternal’s board as vice chairman, redirecting his focus towards ‘higher-risk exploration and experimentation.’ He views this transition as an opportunity to pursue ventures that might be challenging within the confines of a publicly listed company.

    The transition reflects Goyal’s long-standing commitment to Eternal, which he considers his life’s work. Zomato, initially founded as a restaurant discovery platform in 2008, evolved into a food delivery service in 2015. Over the years, the company has made strategic acquisitions, including the purchase of Uber Eats’ India operations and Blinkit (formerly Grofers).

    Notably, Blinkit has emerged as Eternal’s fastest-growing segment, with a substantial increase in net order value. The company reported robust financial performance in the third quarter, with a significant rise in profits and adjusted revenue.

    This leadership change underscores the dynamic nature of the quick commerce sector and signals Eternal’s strategic pivot to capitalize on evolving market trends.

    Source: TechCrunch

  • Lemonade Unveils Specialized Insurance for Tesla’s Full Self-Driving System

    This article was generated by AI and cites original sources.

    Digital insurance provider Lemonade has announced a new insurance offering tailored specifically for users of Tesla’s advanced driver assistance system, known as Full Self-Driving (Supervised). The insurer claims this product will lead to a roughly 50% reduction in per-mile rates for customers.

    This innovative insurance solution represents one of the initial ventures targeting the pricing of insurance based on the performance of software systems in managing driving tasks. It signifies a potential trend where companies may explore novel business opportunities as various levels of vehicle autonomy become more prevalent.

    By collaborating with Tesla, Lemonade has gained access to previously restricted vehicle telemetry data, enabling the insurer to develop its own usage-based risk prediction models. These models will determine whether the vehicle is being operated in Full Self-Driving mode or by the driver, allowing Lemonade to adjust pricing accordingly.

    Lemonade’s ‘Autonomous Car insurance’ acknowledges that Tesla’s software does not currently achieve full autonomy, necessitating drivers to remain vigilant for manual intervention. Nonetheless, the company’s move reflects a belief in the eventual realization of Elon Musk’s vision for completely autonomous vehicles.

    The Autonomous Car insurance will debut in Arizona on January 26, with Oregon following in the subsequent month. Lemonade anticipates that as the Full Self-Driving software improves in safety, insurance prices will correspondingly decrease. The company’s existing auto insurance product covers ‘most popular cars’ in Arizona, California, Colorado, and Illinois.

    Source: TechCrunch

  • TrueFoundry Introduces TrueFailover to Enhance Enterprise AI Reliability

    This article was generated by AI and cites original sources.

    TrueFoundry, an enterprise AI infrastructure company, has announced the launch of TrueFailover, a new product designed to address the critical issue of AI provider outages affecting businesses. In a recent interview with VentureBeat, Nikunj Bajaj, co-founder and CEO of TrueFoundry, highlighted the complexities involved in failover within the AI ecosystem. TrueFailover aims to automatically detect and reroute AI traffic to backup models and regions, preventing disruptions in services such as prescription refills and customer support.

    The introduction of TrueFailover comes at a crucial time as enterprise reliance on AI systems continues to grow. Large language models from providers like OpenAI and Google have become integral to various industries, including healthcare and finance. TrueFoundry’s solution offers multi-model failover capabilities, resilience across multiple regions and cloud providers, and degradation-aware routing to maintain service quality.

    Ensuring consistent output quality during model switches poses a significant challenge in AI failover scenarios. TrueFoundry addresses this by automating prompt adjustments based on the handling model, allowing for seamless failover without compromising user experience. By providing failover safeguards, TrueFoundry aims to enhance AI reliability for businesses.

    Source: VentureBeat

  • PraxisPro Leverages AI to Enhance Medical Sales Reps’ Capabilities

    This article was generated by AI and cites original sources.

    PraxisPro, a startup founded by former pharmaceutical sales representative Cam Badger, has secured a $6 million seed funding round from AlleyCorp to support its innovative approach in coaching medical sales representatives. The company focuses on offering specialized AI-powered training tailored for sales professionals in the medical field.

    Badger’s journey began in sales, where he identified a lack of consistent training and coaching for sales professionals in the healthcare industry. This observation led to the creation of PraxisPro, a platform dedicated to enhancing the communication and sales skills of life science companies, including pharmaceutical businesses and medical device startups.

    PraxisPro’s CEO, Cam Badger, emphasized the importance of effective commercial interactions in the healthcare sector. By improving sales representatives’ communication abilities, the company aims to facilitate the access of transformative therapies to patients in need.

    Established in 2023, PraxisPro recently closed a $6 million seed funding round, with AlleyCorp leading the investment. The platform utilizes small language models trained on life science data to assist sales teams in navigating complex healthcare contexts and complying with legal frameworks.

    By integrating AI agents into their platform, PraxisPro enables sales teams to practice communication skills and refine their messaging before engaging with healthcare providers. This approach not only enhances compliance but also ensures effective communication of patient needs, ultimately benefiting both sales teams and patients.

    Source: TechCrunch

  • Meta’s Efforts to Limit Transparency in Child Safety Trial Raise Concerns

    This article was generated by AI and cites original sources.

    Meta, formerly known as Facebook, is facing a trial in New Mexico over allegations of inadequate protection for minors from online risks. The tech company is taking steps to prevent certain details from being discussed in court, including research on social media’s impact on youth mental health and Mark Zuckerberg’s history at Harvard University.

    Meta’s efforts to exclude specific information, a common tactic in pretrial proceedings, are aimed at ensuring the jury’s focus remains on whether the company breached New Mexico’s Unfair Practices Act concerning child safety and youth mental health. Avoiding distractions from unrelated issues like election interference and privacy concerns is a key strategy for Meta.

    However, legal experts have noted the extent of Meta’s requests as unusually forceful, pointing out the attempt to shield details about the company’s AI chatbots and broader reputation management. The case initiated by New Mexico’s attorney general in 2023 has now become a focal point for discussions on tech industry transparency and accountability.

    Source: WIRED

  • OpenAI Commits to Sustainable Practices in Data Centers to Address Community Concerns

    This article was generated by AI and cites original sources.

    OpenAI has announced plans to minimize water usage and independently finance the energy infrastructure upgrades for its data centers, aiming to address community concerns and prevent any impact on local electricity prices. The company stated its commitment to collaborating with local communities to mitigate the effects of its Stargate data centers, with strategies possibly including securing dedicated energy sources or funding grid enhancements.

    OpenAI acknowledged the substantial water consumption, often of potable water, for data center cooling as a key concern driving opposition, and proposed addressing this issue through advancements in cooling water systems and AI technology.

    This move by OpenAI follows a similar community-focused initiative from Microsoft, reflecting a broader trend of tech firms responding to community discontent around data center operations. The increasing resistance poses challenges for companies seeking to expand AI infrastructure, with some projects being abandoned due to local objections.

    Source: The Verge

  • Tech Industry Mobilizes AI-Focused Super PACs for US Midterm Elections

    This article was generated by AI and cites original sources.

    The ongoing debate over AI regulation in Silicon Valley has now permeated the upcoming US midterm elections, with technology stakeholders heavily investing in AI-focused super PACs. According to WIRED, this move underscores the tech industry’s efforts to influence political outcomes amid the regulatory uncertainty surrounding artificial intelligence.

    The involvement of technology executives, investors, and AI-related companies in funding these political groups highlights the growing significance of AI policy in shaping state and federal election agendas for 2026. This escalation follows recent state-level AI regulations in New York, California, and Colorado, aimed at increasing transparency and risk assessment in AI development.

    As the White House and state legislatures clash over AI governance, with federal efforts seeking to supersede stricter state laws, the divide between AI advocates pushing for safety measures and industry proponents emphasizing innovation widens. The emergence of super PACs like Leading the Future, with substantial financial backing, further intensifies the pressure on lawmakers to consider AI interests in their policymaking.

    The tech sector’s foray into electoral politics signifies a strategic shift towards securing favorable AI regulatory environments, reflecting the pivotal role AI now plays in the broader societal and political landscape.

    Source: WIRED

  • AI Apps Surpass Games in Consumer Spending: A Shift in Mobile App Economics

    This article was generated by AI and cites original sources.

    In a significant development, consumers globally spent more on non-game mobile apps than on games in 2025, marking a notable shift in mobile app economics. According to Sensor Tower’s annual ‘State of Mobile’ report, consumers collectively invested approximately $85 billion in apps last year, indicating a substantial 21% year-over-year increase. This surge in spending, nearly 2.8 times the amount from five years ago, was primarily driven by the rising adoption of AI-powered applications.

    Generative AI emerged as a pivotal trend driving revenue growth, with in-app purchase revenue within this category surpassing $5 billion in 2025, more than tripling from previous years. The downloads of AI apps also exhibited a remarkable doubling year-over-year, reaching a total of 3.8 billion downloads.

    The popularity of AI assistants played a significant role in this surge, with the top 10 apps by downloads all being AI assistants. Leading the pack were notable names like OpenAI’s ChatGPT, Google Gemini, and DeepSeek. ChatGPT alone amassed a staggering $3.4 billion in global in-app purchase revenue, underscoring the financial potential within the AI app landscape.

    Consumers globally spent a cumulative 48 billion hours in generative AI apps in 2025, a substantial increase from previous years. Session volume also peaked, surpassing one trillion in 2025, indicating a deepening engagement from existing users. Notably, this engagement metric outpaced the growth in downloads, suggesting a strong retention and usage pattern among consumers.

    Furthermore, the competitive landscape in the AI app market intensified as tech giants like Google, Microsoft, and X ramped up their investments in AI assistants to rival ChatGPT. These companies introduced a slew of new capabilities, particularly in coding assistance, signaling a fierce competition for market dominance.

    Source: TechCrunch

  • India’s App Download Surge in 2025 Driven by AI Assistants and Microdrama Apps

    This article was generated by AI and cites original sources.

    In 2025, India witnessed a remarkable resurgence in mobile app downloads, reaching 25.5 billion, fueled by the growing popularity of AI assistants and microdrama apps. According to a recent report by Sensor Tower, India, known for its high app downloads globally, experienced a rebound in app installations, outpacing most other markets in download growth.

    The surge in app downloads in India was accompanied by increased user engagement, with the total time spent in apps rising from 1.13 trillion hours in 2024 to 1.23 trillion hours in 2025. This uptick in engagement can be attributed to the rising adoption of AI assistants and microdrama apps.

    While categories like social media and security apps saw a decline, the demand for AI assistants, microdrama apps, video editing tools, social discovery platforms, and food delivery services increased. Notably, short drama app downloads increased significantly by over 350 million, alongside a 346 million rise in AI assistant downloads, reflecting a global trend towards these technologies.

    The adoption of generative AI apps also saw a substantial increase in India, with downloads jumping from 198 million in 2024 to 602 million in 2025. This growth was further propelled by companies offering premium AI services for free to Indian users, aiming to capture a larger market share.

    Source: TechCrunch

  • Amagi’s Cloud TV Software IPO Debut in India Signals Investor Interest

    This article was generated by AI and cites original sources.

    Amagi Media Labs, a Bengaluru-based company specializing in cloud software for TV and streaming channel management, faced a 12% discount in its India market debut after raising ₹17.89 billion through an IPO. The shares opened at ₹318, lower than the ₹361 issue price, before rebounding. This IPO, unique in India’s consumer-dominant market, offers insights into investor sentiment towards tech listings.

    Amagi’s cloud software aids TV networks and streaming services in content distribution and monetization, with a majority of revenue sourced internationally, particularly from the U.S. and Europe. The $196 million IPO involved fresh share issues and an offer-for-sale by existing investors, attracting significant demand that exceeded available shares by over 30 times.

    Prominent shareholders like Norwest Venture Partners, Accel, and Premji Invest participated in the IPO, with Accel retaining a 10% stake post-listing, realizing gains on its earlier investments. Amagi’s CEO, Baskar Subramanian, highlighted the IPO as a milestone in the company’s ongoing journey, with founders maintaining their shareholdings.

    Source: TechCrunch

  • Snap Settles Lawsuit Over Social Media Addiction Allegations

    This article was generated by AI and cites original sources.

    Snap, the social media company, has reached a settlement in a lawsuit alleging the company’s role in causing social media addiction. The lawsuit, filed by a 19-year-old, accused Snap of designing addictive algorithms and features that led to mental health issues. The terms of the settlement were not disclosed, but Snap remains a defendant in other similar cases. This settlement comes amid growing concerns about the impact of social media on mental health, with Snap employees reportedly raising alarms about risks to teens’ well-being.

    Plaintiffs have drawn parallels between these lawsuits and past litigation against Big Tobacco, claiming that platforms like Snap, Meta, YouTube, and TikTok have hidden information about potential harms from users. Features like infinite scroll and algorithmic recommendations are alleged to have contributed to users’ struggles with depression and self-harm.

    The lawsuit against Snap marks a significant moment, as it would have been the first time a social media company faced a jury in an addiction case. With Snap settling, attention now turns to the cases against Meta, TikTok, and YouTube, with Meta CEO Mark Zuckerberg expected to testify. This legal battle underscores the growing scrutiny on tech platforms and their responsibility in addressing the societal impacts of their products.

    Source: TechCrunch

  • Ethernovia Secures $90M to Advance ‘Physical AI’ Technology

    This article was generated by AI and cites original sources.

    Ethernovia, an automotive-focused company based in San Jose, has successfully raised $90 million in Series B funding to propel its Ethernet-based processors into fields like robotics, marking a significant step towards ‘physical AI.’ The company specializes in developing processors that facilitate the seamless collection of data from sensors distributed within systems, such as in autonomous vehicles, enabling rapid transfer to a central computer for analysis.

    This latest funding round, led by Maverick Silicon, an AI-focused fund established by Maverick Capital, underscores the increasing interest and investment in companies like Ethernovia that play crucial roles in the infrastructure supporting emerging technologies. Prior backers of Ethernovia include Porsche SE and Qualcomm Ventures, highlighting the industry-wide recognition of the company’s contributions to the advancement of AI-driven solutions.

    As the tech landscape evolves, with a particular focus on ‘physical AI,’ Ethernovia’s innovative approach and robust financial backing position it as a key player in shaping the future of autonomous systems and robotics. Investors are keen on supporting companies like Ethernovia, anticipating further developments and breakthroughs in the realm of AI-driven technologies.

    Source: TechCrunch

  • Bolna Secures $6.3M Funding to Expand Voice AI Platform in India

    This article was generated by AI and cites original sources.

    Bolna, a voice orchestration startup focused on the Indian market, has recently closed a $6.3 million seed funding round led by General Catalyst. The company, founded by Maitreya Wagh and Prateek Sachan, has been gaining traction in the voice AI space, addressing the growing demand for voice solutions in India.

    Despite initial skepticism about revenue potential from Indian enterprises, Bolna has demonstrated significant growth, with 75% of its revenue now coming from self-serve customers. The startup’s success is attributed to its approach in building an orchestration layer that integrates various AI voice technologies, addressing unique challenges in the Indian market such as noise cancellation and caller verification.

    With the fresh funding, Bolna plans to further develop its platform and expand its customer base, aiming to enhance efficiency in areas like customer support, sales, hiring, and training. The company’s ability to monetize its services has attracted investors like General Catalyst, as well as support from prominent backers including Y Combinator, Blume Ventures, and Orange Collective.

    This investment highlights the growing interest in voice AI solutions tailored for specific regional markets, emphasizing the importance of technology adaptation to local needs and preferences.

    Source: TechCrunch

  • MIT’s Recursive Language Models Enhance Large-Scale Text Processing

    This article was generated by AI and cites original sources.

    Researchers at the Massachusetts Institute of Technology (MIT) have developed a novel framework called Recursive Language Models (RLMs) that enables Language Models (LLMs) to process up to 10 million tokens without context degradation. This innovative approach, detailed in a recent paper, addresses the challenge of handling long prompts by allowing LLMs to recursively call themselves over text snippets, eliminating the need to fit the entire prompt into the model’s context window. By treating prompts as programmatically inspectable entities, RLMs empower enterprises to tackle complex tasks like codebase analysis and legal review more effectively.

    The traditional limitations of expanding context windows or summarizing old information are surpassed by RLMs’ system-oriented solution. These models act as programmers that interact with external text variables stored in a Python environment, enabling them to process massive amounts of data with efficiency. The framework, which can seamlessly replace direct LLM calls in applications, demonstrates a practical path for handling long-horizon tasks.

    RLMs have been tested against base models and other approaches in various long-context tasks, showcasing superior performance in benchmarks involving over 10 million tokens. The results reveal substantial performance gains, with RLMs outperforming base models and other agents in tasks like BrowseComp-Plus and CodeQA. Notably, RLMs excel in handling high computational complexity tasks, offering a promising solution for enterprise applications requiring extensive text processing capabilities.

    Despite the increased complexity, RLMs maintain cost-effectiveness, often proving to be more economical than baseline models in benchmarks. However, researchers caution about potential cost outliers due to model behavior, emphasizing the need for effective compute budget management in future iterations. As companies explore integrating RLMs into their workflows, this framework emerges as a valuable tool for addressing information-dense problems in various settings.

    Source: VentureBeat