Figma Unveils AI-Driven Object Removal and Image Extension Features

Figma Unveils Cutting-Edge AI-Powered Image Editing Features

Today, Figma announced exciting new AI-driven capabilities, including advanced object removal, isolation, and image expansion.

Streamlined Editing: No More Exporting Hassles

Figma’s latest features aim to simplify the editing process by eliminating the need to export images to third-party tools. While AI generation models like Nano Banana excel at creating images, users often require precise editing tools that don’t rely on text prompts.

Enhanced Lasso Tool: Effortless Object Manipulation

The revamped lasso tool now allows users to effortlessly select, remove, or isolate objects. Even when moved, the object retains essential image characteristics, such as background and color. Users can fine-tune aspects like lighting, shadow, color, and focus directly within Figma.

Image Expansion: Flexibility for Creative Formats

Figma introduces a valuable image expansion feature, particularly useful for adapting designs to different formats. This tool allows users to easily fill in backgrounds or other details, saving time on cropping and element adjustments when creating assets like web or mobile banners.

Image Credits: Figma

Centralized Toolbar: All Your Editing Tools in One Place

In addition to these features, Figma is consolidating its image editing tools into a single toolbar for easy access. Users can now select objects, change background colors, and add annotations seamlessly. Recognizing that background removal is one of the platform’s most popular actions, Figma has ensured it features prominently in the new toolbar.

Figma Joins the Ranks of Competitors with Object Removal

While industry giants like Adobe and Canva have offered object removal features for some time, Figma is now stepping up to meet user demands.

Availability and Future Plans

These innovative image editing features are currently accessible on Figma Design and Draw, with plans for broader availability across Figma tools next year.

Coinciding Launch with Adobe’s New ChatGPT Features

In a related development, Adobe also rolled out similar features for ChatGPT users today. Figma was a launch partner for the app in October, although it’s still unclear if the new functions will be integrated for Figma users within OpenAI’s tool.

Here are five FAQs with answers regarding Figma’s new AI-powered object removal and image extension features:

FAQ 1: What is the AI-powered object removal feature in Figma?

Answer: The AI-powered object removal feature in Figma allows users to easily eliminate unwanted elements from images. Utilizing advanced algorithms, it intelligently fills in the background after an object is removed, ensuring a seamless look.

FAQ 2: How can I use the image extension feature in Figma?

Answer: The image extension feature enables users to expand images beyond their original dimensions. You can simply select an image and use the extension tool to add more visual content while maintaining the overall style and coherence of the design.

FAQ 3: Is the AI object removal feature available in all Figma plans?

Answer: Yes, the AI object removal feature is available to all Figma users, regardless of their subscription plan. However, some enhanced functionalities may be limited to specific tiers or require additional plugins.

FAQ 4: How does the AI technology work for object removal?

Answer: The AI technology leverages machine learning models trained on vast datasets to identify and comprehend the context of images. When an object is removed, the algorithm predicts and generates the background image content, ensuring that the edit looks natural.

FAQ 5: Can I use the object removal and image extension features on mobile devices?

Answer: Currently, the object removal and image extension features are optimized for the Figma web and desktop applications. Mobile access may provide limited functionality, with full features available on larger screens.

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Empromptu Secures $2M in Pre-Seed Funding to Enable Enterprises in Developing AI Applications

Sheena Leven Unveils Lessons Learned from Launching CodeSee and New AI Venture Empromptu

Sheena Leven, the visionary entrepreneur behind CodeSee, shares key insights gained from her journey in tech startups. From distinguishing genuine business needs to embracing foundational principles, her experience sets the stage for her next innovative project.

The Fundamentals Never Fade Away

“Security, compliance, reliability, quality—these essentials remain critical for enterprise applications,” Leven emphasizes.

Introducing Empromptu: Empowering Non-Technical Business Owners

Following the acquisition of CodeSee in 2024, Leven’s vision shifted towards creating a platform that enables business owners, regardless of their technical expertise, to develop AI applications. Partnering with AI researcher Sean Robinson, they launched Empromptu last October, providing an accessible AI service for businesses.

User-Friendly AI Development at Your Fingertips

Empromptu enables users to simply describe their needs to the AI chatbot—whether they want a new HTML or JavaScript app—and the platform will create it. Additionally, it offers LLM (Large Language Model) tools for further refining results and allows companies to seamlessly integrate AI features into their existing code bases.

Not Just Vibe Coding: Transforming Ideas into Real Software

Leven distinguishes Empromptu from vibe-coding platforms, though she anticipates competition from companies like Replit and Lovable. “Vibe coding is ideal for quick experiments, but Empromptu is designed to convert those experiments into fully-fledged software,” she states.

Funding Fuel for Growth and Innovation

In a recent announcement, Empromptu revealed a successful $2 million pre-seed funding round led by Precursor Ventures, supported by Zeal Capital, Alumni Ventures, Founders Edge, and South Loop.

Investing in the Future: Targeting Complex Industries

The newly acquired funds will be allocated towards expanding the team and developing proprietary technology. Empromptu aims to cater to businesses in regulated sectors and complex fields, such as software solutions for the hospitality industry.

Making AI Accessible for All Founders

Ultimately, Leven envisions a world where founders can transform their businesses without needing extensive technical knowledge. “It’s just like any other skill,” she remarks. “The beauty is that AI can guide you as you learn.”

Here are five FAQs based on the news that Empromptu has raised $2M in pre-seed funding to assist enterprises in building AI applications:

FAQ 1: What is Empromptu?

Answer: Empromptu is a technology startup focused on helping enterprises create artificial intelligence applications. The company provides tools and platforms that simplify the development process, enabling businesses to leverage AI for various operational needs.

FAQ 2: How much funding did Empromptu raise, and in what stage?

Answer: Empromptu successfully raised $2 million in a pre-seed funding round. This initial investment will support the development of its AI application-building platform and accelerate its market entry.

FAQ 3: What will the funding be used for?

Answer: The $2 million in pre-seed funding will be utilized to enhance Empromptu’s technology, expand its development team, and accelerate product marketing efforts to help enterprises effectively build and deploy AI applications.

FAQ 4: Who are the investors involved in this funding round?

Answer: While specific investors have not all been publicly disclosed, the pre-seed funding round included participation from notable angel investors and venture capitalists who specialize in technology and AI sectors.

FAQ 5: How can enterprises benefit from using Empromptu’s platform?

Answer: Enterprises using Empromptu’s platform can streamline their AI application development process, reduce time-to-market, and leverage advanced AI capabilities without needing deep technical expertise. This empowers organizations to innovate and enhance operational efficiency through custom AI solutions.

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Hinge’s AI Feature Transforms Dating by Elevating Conversations Beyond Small Talk

Hinge Launches AI-Powered “Convo Starters” to Spark Meaningful Conversations

Many daters on Hinge are expressing their frustration with matches who simply like their profiles without initiating conversations. This often causes an uncomfortable silence, placing the onus on one person to break the ice. Unfortunately, many resort to clichéd lines or mundane small talk, such as “How are you?”

Revolutionizing Connections with AI

To tackle this issue, Hinge has introduced “Convo Starters,” an innovative feature powered by AI that offers personalized suggestions for opening dialogues.

Empowering Daters with Tailored Suggestions

This feature aims to inspire users and bolster their confidence when sending initial messages. When users like a profile, they’ll now see three customized tips beneath each photo and prompt. The AI evaluates a user’s profile and generates recommendations based on individual images or prompts. For instance, if a potential match is shown playing chess, Hinge might suggest starting the conversation with a query about board games.

Hinge Convo Starters Screenshot
Image Credits: Hinge

Backed by User Insights

The launch of Convo Starters is a response to user feedback. Hinge’s research revealed that 72% of its users are more likely to engage with someone when a like is paired with a message. The data shows that users who comment alongside their likes are twice as likely to secure dates.

Continuing the AI Evolution

This feature builds on the introduction of Hinge’s AI-driven Prompt Feedback, which assesses user prompts and provides tailored advice to enhance them, encouraging users to share more engaging details about their lives.

Addressing User Concerns

Despite the benefits of AI features, many users—particularly Gen Z—express discomfort with AI in online dating. A Bloomberg Intelligence survey indicates that Gen Z is more hesitant than older generations about using AI for tasks such as crafting profile prompts and responding to messages.

Investing in the Future of AI Dating

Hinge’s parent company, Match Group, is committing approximately $20 million to $30 million towards advancing its AI initiatives.

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Sure! Here are five FAQs about Hinge’s new AI feature designed to enhance dating conversations:

1. What is Hinge’s new AI feature?

Answer: Hinge’s new AI feature assists users in crafting engaging responses and prompts, helping them move beyond typical small talk, thereby fostering deeper connections. It generates tailored suggestions that enhance conversation flow based on user interests and preferences.

2. How does the AI suggest conversation topics?

Answer: The AI analyzes user profiles, personal interests, and past conversation patterns to suggest relatable topics or engaging questions. This ensures that the prompts feel personalized and relevant, making it easier for users to connect on a more meaningful level.

3. Can I customize the AI suggestions?

Answer: Yes! Users have the option to refine AI-generated prompts based on their preferences. You can specify the type of conversations you enjoy or indicate topics you’d like to avoid, allowing for a more tailored dating experience.

4. Is using the AI feature free?

Answer: The AI feature is integrated into Hinge’s app and is available to both free and premium users. While some advanced functionalities may require a subscription, the core features designed to assist in engaging conversation are accessible to all users.

5. Will the AI take over my conversations?

Answer: No, the AI is designed to assist, not replace. It offers suggestions and prompts to enhance your interactions, but users maintain full control over their conversations. You can choose to use the AI’s suggestions or continue chatting in your own style.

Feel free to ask if you would like more information!

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Pat Gelsinger Seeks to Preserve Moore’s Law with Support from the Federal Government

Pat Gelsinger’s New Chapter: Leading xLight in the Semiconductor Arena

After a tumultuous exit from Intel, Pat Gelsinger continues to rise at dawn, navigating the complex semiconductor landscape from a fresh vantage point. As a general partner at Playground Global, Gelsinger is invested in 10 startups, with xLight—a promising semiconductor firm—drawing significant focus. Recently, xLight announced a preliminary agreement for up to $150 million from the U.S. Commerce Department, making the government a key stakeholder.

A Major Win After Intel

Gelsinger’s 35-year journey at Intel came to an unexpected end when the board dismissed him due to doubts about his revival strategies. Nevertheless, the xLight partnership highlights a new trend that raises eyebrows in Silicon Valley: the Trump administration’s willingness to take equity in essential tech companies.

Silicon Valley’s Unease

California Governor Gavin Newsom expressed the industry’s discomfort at a recent event, questioning, “What happened to free enterprise?” This sentiment reverberates through a tech sector historically rooted in free-market ideals.

Driving Innovation in Lithography

During a TechCrunch StrictlyVC event, Gelsinger, who holds the role of executive chairman at xLight, wasn’t fazed by these concerns. His focus is on tackling a crucial bottleneck in semiconductor production: lithography. xLight aims to develop large-scale “free electron lasers” powered by particle accelerators, potentially transforming chip manufacturing processes.

Reviving Moore’s Law

“I’m dedicated to revitalizing Moore’s law in semiconductor technology,” Gelsinger stated, referencing the foundational belief that computing power doubles biennially. “We believe this innovation will reinvigorate Moore’s law.”

Securing Future Funding

The xLight deal marks the inaugural Chips and Science Act award during Trump’s second term and is part of funds designated for promising early-stage firms. While the funding is currently in the letter of intent phase, Gelsinger remained transparent about the complexities involved: “We’ve agreed in principle, but we still have work to do.”

Ambitious Technological Developments

xLight’s vision encompasses creating colossal machines—approximately 100 meters by 50 meters—that will generate extreme ultraviolet light at remarkably precise wavelengths of 2 nanometers. This surpasses the capabilities of ASML, the industry leader dominating the EUV lithography market.

Transforming the Light Source Paradigm

“Half of the semiconductor industry’s investment goes into lithography,” Gelsinger explained. “Innovating on light wavelength and power is crucial for advancing semiconductor technology.” Leading xLight, Nicholas Kelez brings a unique perspective from his experience in quantum computing and large-scale X-ray science initiatives.

Embracing Viability in New Technologies

Kelez highlighted why xLight’s approach is feasible now, contrasting it with ASML’s previous abandonment of a similar strategy. The industry is now primed for this innovation, bolstered by advancements and the ubiquity of EUV lithography in semiconductor manufacturing.

Looking Ahead to 2028

With ambitions of producing silicon wafers by 2028 and launching a commercial system by 2029, xLight is poised for significant growth.

Collaborative Strategies

xLight is not directly competing with ASML but rather collaborating to integrate their systems. Gelsinger mentioned that while there are no contracts from major chipmakers yet, discussions are ongoing with potential partners.

Navigating Complex Competitive Dynamics

As competition intensifies, other startups like Substrate are emerging with similar technologies. However, Gelsinger views them as potential collaborators rather than rivals.

Political Underpinnings of xLight’s Funding

Gelsinger’s engagement with the Trump administration adds complexity to the narrative. Earlier discussions with Secretary of Commerce Howard Lutnick paved the way for this significant funding. While recent developments fueled criticism from some quarters, Gelsinger remains steadfast in framing government engagement as vital for national competitiveness.

Minimal Strings Attached

According to Kelez, the government investment comes with few conditions, allowing xLight the freedom to innovate without heavy oversight. With plans to raise additional funds soon, Gelsinger is optimistic about xLight’s trajectory.

Paving a New Path in Semiconductor Tech

Ultimately, xLight represents more than just another venture for Gelsinger; it’s an opportunity to reinforce his influence in the semiconductor landscape he helped shape, even as he navigates the shifting tides of Silicon Valley ethics.

A Commitment to Corporate Leadership

Gelsinger emphasizes the need for corporate leaders to remain above political fray, claiming, “CEOs and companies should neither be Republican nor Democrat.” He believes the primary goal is achieving business objectives while navigating beneficial policies, regardless of their political origin.

Reflecting on New Opportunities

In response to queries about managing multiple startups post-Intel, Gelsinger expressed contentment, asserting that influencing a broad spectrum of technologies excites him. “I’m just grateful the Playground team welcomed me,” he remarked, before humorously adding, “And I gave my wife back her weekends.” While this may seem a light comment, those familiar with Gelsinger’s work ethic might ponder how long this arrangement will hold.

Sure! Here are five FAQs related to Pat Gelsinger’s efforts to support Moore’s Law with assistance from the federal government:

FAQ 1: Who is Pat Gelsinger?

Answer: Pat Gelsinger is the CEO of Intel Corporation and a prominent figure in the tech industry. He has been an advocate for advancing semiconductor technology and maintaining the pace of innovation encapsulated by Moore’s Law, which predicts the doubling of transistors on a microchip approximately every two years.

FAQ 2: What is Moore’s Law?

Answer: Moore’s Law is an observation made by Gordon Moore, co-founder of Intel, which states that the number of transistors on a microchip doubles approximately every two years, leading to an increase in computing power and efficiency. It has been a driving principle behind the rapid advancement of technology.

FAQ 3: How does Pat Gelsinger plan to save Moore’s Law?

Answer: Pat Gelsinger aims to save Moore’s Law by advocating for increased investments in semiconductor research and development. He seeks collaboration with the federal government to support legislation and funding that would enhance the U.S. semiconductor manufacturing capabilities, ensuring innovation continues at the pace that Moore’s Law describes.

FAQ 4: What role does the federal government play in this initiative?

Answer: The federal government can provide financial support and incentives, helping to foster research and development in semiconductor technology. This includes potential funding for manufacturing facilities, tax incentives for companies investing in advanced technologies, and support for educational programs to develop a skilled workforce in the technology sector.

FAQ 5: Why is it important to maintain Moore’s Law?

Answer: Maintaining Moore’s Law is crucial because it drives technological advancements that are foundational to various industries, including computing, telecommunications, and consumer electronics. Continued progress under Moore’s Law leads to faster, cheaper, and more efficient computing solutions, ultimately benefiting society through better technologies in healthcare, transportation, and many other fields.

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Ex-Googler’s Yoodli Boosts Valuation to Over $300M with AI Designed to Assist, Not Replace, Humans

<div>
    <h2>Yoodli: Revolutionizing Communication Training with AI</h2>

    <p id="speakable-summary" class="wp-block-paragraph">
        <a target="_blank" href="https://yoodli.ai/" rel="noreferrer noopener nofollow">Yoodli</a>, an innovative AI-driven communication training startup, has surged to a valuation exceeding $300 million—over three times its value from just six months ago. This remarkable growth is fueled by a mission to enhance human communication, rather than replace it with machines.
    </p>

    <h3>Funding Milestones and Rapid Growth</h3>

    <p class="wp-block-paragraph">
        The company's impressive valuation follows a successful $40 million Series B funding round, led by WestBridge Capital with participation from Neotribe and Madrona. This comes on the heels of its <a target="_blank" href="https://yoodli.ai/blog/announcing-our-13-7m-fundraise-and-launching-the-ai-roleplays-category" rel="noreferrer noopener nofollow">$13.7 million Series A round</a>, announced in May, bringing Yoodli's total funding to nearly $60 million.
    </p>

    <h3>A Unique Approach Amid Automation Fears</h3>

    <p class="wp-block-paragraph">
        As AI tools proliferate and concerns about automation rise, Yoodli distinguishes itself by using AI to create engaging, simulated scenarios—including sales calls, leadership coaching, interviews, and feedback sessions—allowing users to practice and enhance their speaking skills in a structured manner.
    </p>

    <h3>Founders with a Vision</h3>

    <p class="wp-block-paragraph">
        Co-founded by Varun Puri, a former member of Google’s X division, and ex-Apple engineer Esha Joshi in 2021, Yoodli aims to address communication challenges faced by many, particularly students and young professionals from diverse backgrounds. Puri's own experience after moving to the U.S. at 18 highlighted the struggle of expressing ideas confidently.
    </p>

    <h3>From Public Speaking to Comprehensive Training</h3>

    <p class="wp-block-paragraph">
        While Yoodli initially focused on public speaking—an area where nearly two-thirds of people feel challenged—it quickly adapted. Users began leveraging the platform for interview prep, sales pitches, and tough conversations, shifting Yoodli’s focus towards enterprise training and offering advanced role-plays and experiential learning tools.
    </p>

    <figure class="wp-block-image aligncenter size-full">
        <img loading="lazy" decoding="async" width="1920" height="984" 
             src="https://techcrunch.com/wp-content/uploads/2025/12/Yoodli-platform.jpg" 
             alt="Yoodli AI roleplays platform" class="wp-image-3073513" />
        <figcaption class="wp-element-caption">
            <span class="wp-element-caption__text">Yoodli’s platform</span>
            <span class="wp-block-image__credits"><strong>Image Credits:</strong> Yoodli</span>
        </figcaption>
    </figure>

    <h3>Transforming the Way Companies Train</h3>

    <p class="wp-block-paragraph">
        “Traditionally, training has relied on static, long-form content or passive videos that only a few actually engage with,” said Puri. “Yoodli aims to change that.” Major companies like Google, Snowflake, and Databricks have adopted Yoodli for training, emphasizing its commitment to augment human coaching rather than replace it.
    </p>

    <h3>Human Touch and AI Integration</h3>

    <p class="wp-block-paragraph">
        “AI can elevate you from zero to eight or even nine, but the essence of who you are—the honesty and vulnerability that comes with human feedback—is irreplaceable,” Puri remarked. Yoodli collaborates with various large language models, allowing customization according to user preference and accessibility through web browsers.
    </p>

    <h3>Impressive Growth and Future Prospects</h3>

    <p class="wp-block-paragraph">
        Although the exact user count wasn't disclosed, Puri indicated that the majority of Yoodli’s revenue derives from enterprise clients. The startup experienced a 50% increase in role-plays and a staggering 900% growth in average recurring revenue over the last year.
    </p>

    <h3>Strategic Funding and Continued Innovation</h3>

    <p class="wp-block-paragraph">
        Recent funding was propelled by unexpected investor interest, with notable hires strengthening the team. Yoodli's latest funding round will drive the development of its AI coaching, analytics, and personalized tools, while expanding its footprint in the enterprise training market.
    </p>

    <h3>Looking Ahead: Customization and Global Expansion</h3>

    <p class="wp-block-paragraph">
        With about 40 employees and plans for further growth, Yoodli aims to refine its offerings to adapt to specific training needs. The startup is not only focused on expanding its operations in the U.S. but also aims to gain a stronghold in the Asia-Pacific market.
    </p>
</div>

This rewrite incorporates engaging headlines, maintains SEO considerations, and provides a clear structure for easy readability while retaining the core message of your original article.

Here are five FAQs based on the scenario of Yoodli, an AI-driven platform valued at $300M+, designed to assist rather than replace people:

FAQ 1: What is Yoodli?

Answer: Yoodli is an AI-powered platform developed with the mission to assist individuals in improving their communication skills. Using advanced algorithms, Yoodli provides personalized feedback and insights, helping users become more confident and effective speakers, without replacing the human element of communication.

FAQ 2: How does Yoodli’s AI technology work?

Answer: Yoodli employs natural language processing and machine learning techniques to analyze users’ speech patterns, language use, and delivery styles. It offers real-time feedback and tailored exercises, designed to enhance their communication capabilities while emphasizing collaboration between AI and human effort.

FAQ 3: Who can benefit from using Yoodli?

Answer: Yoodli is beneficial for a wide range of users, including professionals looking to improve public speaking skills, students preparing for presentations, and anyone aiming to enhance their conversational abilities. The platform’s tailored approach ensures that users from various backgrounds find value in its guidance.

FAQ 4: How does Yoodli ensure that it assists rather than replaces humans?

Answer: Yoodli is designed with the philosophy of enhancing human capabilities. The AI acts as a supportive tool, providing feedback and suggestions, while the user retains full control of their speech and communication style. This partnership approach fosters personal growth rather than substitution.

FAQ 5: What is the future vision for Yoodli?

Answer: Yoodli envisions a world where AI serves as a collaborative partner in personal and professional development. The company aims to continually enhance its platform with new features and capabilities, driven by user feedback, making communication mastery accessible to everyone while maintaining the human touch.

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Chicago Tribune Files Lawsuit Against Perplexity | TechCrunch

The Chicago Tribune Takes Legal Action Against AI Search Engine Perplexity

On Thursday, the Chicago Tribune launched a lawsuit against AI search engine Perplexity, alleging copyright infringement in a case filed in a New York federal court.

Allegations of Copyright Infringement

According to the complaint, the Tribune’s legal team reached out to Perplexity in mid-October to inquire about the use of its content. Perplexity’s lawyers responded that while the platform did not train its models on the Tribune’s work, it might receive “non-verbatim factual summaries,” a claim the lawsuit disputes.

Claims of Verbatim Content Delivery

The Tribune’s attorneys contend that Perplexity is indeed providing its content in verbatim form, raising serious concerns over unauthorized use.

Issues with Retrieval Augmented Generation (RAG)

Adding another layer to the complexity, the Tribune’s lawyers are also criticizing Perplexity’s retrieval augmented generation (RAG) methods. RAG aims to reduce inaccuracies by utilizing only verified data sources, yet the Tribune claims that its content is being included in Perplexity’s RAG systems without consent. Moreover, the Tribune alleges that Perplexity’s Comet browser circumvents the newspaper’s paywall to deliver detailed article summaries.

A Broader Trend in Media Lawsuits

The Tribune is one of 17 news organizations under MediaNews Group and Tribune Publishing that sued OpenAI and Microsoft over model training materials back in April, a case that is still pending. Additionally, nine similar lawsuits were filed against the model developer and its cloud provider in November.

Legal Ramifications for Content Creators

Numerous creators have initiated lawsuits against AI model developers regarding the use of their work for training purposes. The upcoming court rulings will be pivotal in defining the legal responsibilities pertaining to RAG.

Perplexity’s Current Legal Challenges

Perplexity has yet to comment on the Chicago Tribune’s lawsuit or respond to queries from TechCrunch. The AI search engine is already facing other legal challenges; for example, Reddit filed a lawsuit in October, and Dow Jones is also pursuing legal action. Recently, Amazon sent a cease-and-desist letter regarding AI browser shopping, signaling ongoing tensions in the industry.

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Here are five frequently asked questions (FAQs) regarding the Chicago Tribune’s lawsuit against Perplexity:

1. What is the Chicago Tribune’s lawsuit against Perplexity about?

The Chicago Tribune filed a lawsuit against AI search engine Perplexity, alleging copyright infringement. The Tribune claims that Perplexity is delivering its content verbatim without permission and is using the newspaper’s material in its retrieval-augmented generation (RAG) systems. Additionally, the Tribune alleges that Perplexity’s Comet browser bypasses the paper’s paywall to provide detailed summaries of its articles. (techcrunch.com)

2. When was the lawsuit filed?

The lawsuit was filed on December 4, 2025, in a federal court in New York. (techcrunch.com)

3. What is Perplexity’s response to the lawsuit?

As of now, Perplexity has not publicly responded to the Chicago Tribune’s lawsuit. The company has faced similar legal challenges from other media organizations, including News Corp’s Dow Jones and The New York Times, over allegations of content scraping and copyright infringement. (techcrunch.com)

4. Has the Chicago Tribune taken similar legal actions before?

Yes, the Chicago Tribune is part of a group of 17 news publications from MediaNews Group and Tribune Publishing that sued OpenAI and Microsoft over model training material in April 2025. Another nine publications from these groups filed a lawsuit against the model maker and its cloud provider in November 2025. (techcrunch.com)

5. What is retrieval-augmented generation (RAG)?

RAG is a method used in AI to limit hallucinations by having the model only use accurate or verified data sources. In this context, the Tribune alleges that Perplexity is using its content in its RAG systems without permission. (techcrunch.com)

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Nexus Allocates $700M Fund for India Startups, Holding Back on Full Commitment to AI

Sure! Here’s a rewritten version of the article with engaging headlines and an SEO-friendly structure.

<div>
  <h2>Nexus Venture Partners Sets a Balanced Course with New $700 Million Fund</h2>

  <p id="speakable-summary" class="wp-block-paragraph">While many venture capital firms are fixated on AI investments, <a target="_blank" href="https://nexusvp.com/" rel="noreferrer noopener nofollow">Nexus Venture Partners</a> is strategically diversifying its portfolio with a new $700 million fund.</p>

  <h3>Diverse Investment Strategy: AI and Beyond</h3>
  <p class="wp-block-paragraph">The firm plans to not only support AI startups but also focus on India-centric ventures in consumer, fintech, and digital infrastructure sectors.</p>

  <h3>The AI Investment Landscape</h3>
  <p class="wp-block-paragraph">AI has <a target="_blank" href="https://www.bloomberg.com/news/articles/2025-10-03/ai-is-dominating-2025-vc-investing-pulling-in-192-7-billion" rel="noreferrer noopener nofollow">captured a significant portion of global venture capital</a>, and Nexus recognizes it as a pivotal technological shift. However, the firm warns that concentrating on a single, over-hyped category poses inherent risks. Instead, India’s digital economy offers a counterbalance, characterized by rising AI adoption and diverse opportunities.</p>

  <h3>Roots in Cross-Border Innovation</h3>
  <p class="wp-block-paragraph">Nexus, headquartered in Delaware with offices in Menlo Park, Mumbai, and Bengaluru, has been a unified fund with a cohesive U.S.–India team since its inception in 2006. The firm invests in early-stage software and India-focused startups from the same capital pool.</p>

  <h3>Expanding Portfolio and Successful Exits</h3>
  <p class="wp-block-paragraph">Over the years, Nexus's cross-border software investments have encompassed a wide range—from infrastructure tools to AI startups. Notable U.S. portfolio companies include Postman, Apollo, MinIO, Giga, and Firecrawl, all of which have seen substantial adoption in developer tooling and AI infrastructure.</p>

  <p class="wp-block-paragraph">In India, their portfolio spans various sectors including consumer goods, fintech, logistics, and digital infrastructure, with prominent investments such as Zepto, Delhivery, Rapido, Turtlemint, and Infra.Market.</p>

  <h3>AI: A Key Inflection Point</h3>
  <p class="wp-block-paragraph">“AI represents a significant inflection point, and we are anchored to that,” said Jishnu Bhattacharjee, a managing partner at Nexus in the U.S. “However, we are noticing that many AI innovations are designed to enhance services for the masses.”</p>

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  <h3>Commitment to Early-Stage Investments</h3>
  <p class="wp-block-paragraph">Nexus manages $3.2 billion in total capital and has invested in over 130 companies, achieving more than 30 successful exits, including several IPOs, which highlight its long-term, early-stage investment approach.</p>

  <p class="wp-block-paragraph">Managing partner Abhishek Sharma stated to TechCrunch that the firm primarily focuses on inception to seed and Series A rounds, initiating investments with checks ranging from a few hundred thousand to around $1 million.</p>

  <h3>Maintaining Fund Size for Strategic Growth</h3>
  <p class="wp-block-paragraph">With an eight-member investment team, Nexus began with a $100 million fund and has maintained a fund size of $700 million since <a target="_blank" href="https://m.economictimes.com/tech/funding/nexus-venture-partners-closes-its-largest-ever-fund-at-700-million/articleshow/98329133.cms" rel="noreferrer noopener nofollow">launching Fund VII in 2023</a>. The firm typically raises funds every 2.5 to 3 years. Bhattacharjee emphasized that maintaining the current fund size reflects their belief in its suitability for their early-stage investment strategy.</p>

  <p class="wp-block-paragraph">“Our goal is not to raise capital for the sake of it,” he noted.</p>

  <h3>India’s Promising AI Landscape</h3>
  <p class="wp-block-paragraph">Although India's AI development may <a target="_blank" href="https://techcrunch.com/2024/06/30/here-are-indias-biggest-ai-startups-based-on-how-much-money-theyve-raised/" rel="noreferrer noopener">lag behind the U.S.</a> in some areas, Nexus sees potential for the country to leap ahead in various aspects of the AI ecosystem. </p>

  <p class="wp-block-paragraph">Bhattacharjee highlighted India’s vast talent pool, increasing digital infrastructure, and the necessity for localized models to cater to the country's multiple languages and service needs. These factors are driving Indian startups to develop AI applications more rapidly, often utilizing open-source technology and emerging domestic AI infrastructure companies.</p>

  <h3>Showcasing Success: AI Innovations in India</h3>
  <p class="wp-block-paragraph">The partners at Nexus cited companies like Zepto and Neysa to exemplify the evolution of AI in India. Zepto, a quick-commerce platform, leverages AI extensively across its operations—from customer service to routing and fulfillment—highlighting how consumer businesses are becoming increasingly AI-integrated. Additionally, infrastructure firms like Neysa are emerging to address unique Indian requirements, such as sovereign AI workloads and localized data processing.</p>

  <p class="wp-block-paragraph">While Nexus didn't disclose specific fund metrics, partners affirmed that their funds have generated significant returns over the years, allowing them to sustain the current fund through returning limited partners. Their investor base spans the U.S., Europe, the Middle East, Southeast Asia, and Japan.</p>
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Here are five frequently asked questions (FAQs) regarding Nexus’s decision to hold half of its new $700 million fund for India startups while not fully committing to AI:

FAQs

1. Why is Nexus not committing fully to AI with its new fund?

Nexus believes in a balanced approach to investment. While AI presents significant opportunities, the firm recognizes the need for diverse innovations across various sectors, particularly in the dynamic Indian startup ecosystem.

2. How much of the $700 million fund is allocated for India startups?

Nexus has allocated half of its new $700 million fund, which means approximately $350 million will specifically target startups in India. This reflects the firm’s confidence in the potential of Indian entrepreneurship.

3. What types of startups is Nexus looking to fund in India?

Nexus aims to invest in a range of sectors, including fintech, health tech, e-commerce, and more, while still considering AI-driven solutions. The focus is on startups that demonstrate strong growth potential and innovative business models.

4. What are the potential benefits of focusing on India startups for Nexus?

Investing in Indian startups allows Nexus to tap into a rapidly growing market with a vibrant tech ecosystem. India’s diverse demographic and increasing digital adoption create significant opportunities for innovation and scalability.

5. How does Nexus’s strategy compare to other investment firms focusing on AI?

While many firms are prioritizing AI, Nexus’s strategy of maintaining a balanced portfolio reflects its understanding of market dynamics. This approach allows them to mitigate risk and capitalize on various emerging trends beyond AI, ensuring a more sustainable investment strategy.

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Key Highlights from AWS re:Invent 2025: Major Tech Announcements

AWS re:Invent 2025 Concludes First Day with Exciting AI Developments

Amazon Web Services’ annual tech conference AWS re:Invent has wrapped up its first day, unveiling a myriad of innovative product announcements.

This year’s central theme revolves around enterprise AI, emphasizing upgrades that empower customers to tailor AI agents to their needs. Notably, AWS has introduced a groundbreaking AI agent that claims to learn from user interactions and operate independently for extended periods.

AWS re:Invent 2025, taking place until December 5, commenced with a keynote from AWS CEO Matt Garman. He emphasized the potential of AI agents to unlock the “true value” of artificial intelligence.

“AI assistants are transitioning to AI agents capable of performing tasks autonomously,” Garman stated during his keynote on December 2. “This shift is where businesses begin to see substantial returns on AI investments.”

While AI agents dominate the headlines, several other noteworthy announcements were made. Here’s a roundup of significant news from AWS re:Invent 2025. Stay tuned as TechCrunch will provide updates throughout the conference.

Revolutionary AI Training Chip Unveiled

AWS launched a new AI training chip named Trainium3, accompanied by the UltraServer system. This upgraded chip boasts remarkable specifications, promising up to 4x performance enhancements for both AI training and inference while reducing energy consumption by 40%.

Additionally, AWS teased the development of Trainium4, which will be compatible with Nvidia chips.

Enhanced AgentCore Offers New Capabilities

AWS introduced new features within its AgentCore AI agent building platform. Noteworthy among these is the Policy feature, which allows developers to set boundaries for AI agents more efficiently.

The enhancements also include agents that can now log and remember user preferences, alongside providing customers with access to 13 prebuilt evaluation systems to assess agent performance.

Introduction of New Autonomous AI Agents

AWS revealed three new AI agents known as “Frontier agents,” including the “Kiro autonomous agent,” which can write code and learn from team dynamics to operate independently for hours or even days.

Another new agent specializes in security processes like code reviews, while a third automates DevOps tasks to prevent issues during code deployment. Preview versions of these agents are now available.

Launch of Innovative Nova Models and Services

AWS is rolling out four new AI models within its Nova family, featuring three specifically for text generation and one capable of creating both text and images.

The new Nova Forge service allows customers to access pre-trained, mid-trained, or post-trained models, enabling them to refine these models with their proprietary data. AWS emphasizes extreme flexibility and customization in this offering.

Lyft Shares Success with AI Agents

Lyft, one of many AWS customers showcasing outcomes during the event, discussed how it leverages Anthropic’s Claude model via Amazon Bedrock to enhance customer service through an AI agent. Lyft reported an 87% reduction in average resolution time and a 70% increase in driver engagement with the AI assistant this year.

Introduction of AI Factories for Private Data Centers

Amazon has also launched “AI Factories,” allowing large enterprises and government bodies to deploy AWS AI systems within their own data centers.

Developed in partnership with Nvidia, the system incorporates both Nvidia technology and AWS capabilities. Users can equip the system with Nvidia GPUs or opt for Amazon’s latest Trainium3 chip, addressing the growing demand for data sovereignty among companies and governments.

Stay updated with the latest advancements in agentic AI, cloud infrastructure, security, and more from AWS’s premier event in Las Vegas. This coverage is brought to you in partnership with AWS.

Here are five frequently asked questions (FAQs) based on AWS re:Invent 2025:

1. What were the key announcements at AWS re:Invent 2025?

Answer: AWS re:Invent 2025 showcased several major announcements, including the launch of new AI and machine learning services, improvements in serverless computing, and enhanced capabilities for security and data privacy. Notable mentions also included updates to AWS Lambda and the introduction of new cloud management tools.

2. How will the new AI services impact businesses?

Answer: The new AI services introduced by AWS are designed to simplify machine learning implementations for businesses. These services enable organizations to build, train, and deploy models more efficiently, helping businesses leverage AI for better decision-making and improved customer experiences.

3. What are the improvements made to AWS Lambda?

Answer: AWS Lambda received enhancements that allow for more flexible scaling, lower latency deployment options, and improved integration with other AWS services. These changes aim to make serverless applications faster and easier to manage.

4. Were there any announcements regarding data security and compliance?

Answer: Yes, AWS emphasized its commitment to data security by announcing several new security features tailored to compliance with global regulations. These include enhanced encryption options, improved monitoring tools, and new frameworks for ensuring data privacy in cloud environments.

5. How can developers access the new tools and services introduced?

Answer: Developers can access the new tools and services by logging into the AWS Management Console. Additionally, AWS released extensive documentation, tutorials, and training resources to help developers get started with the latest offerings quickly and effectively.

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Paris-Based AI Voice Startup Gradium Secures $70M in Seed Funding

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  <h2>Gradium Launches with $70 Million Seed Round to Revolutionize Audio Language AI</h2>

  <p id="speakable-summary" class="wp-block-paragraph">Gradium, a promising new startup emerging from the French AI research lab Kyutai, has officially launched, backed by a $70 million seed round led by a prestigious lineup of investors.</p>

  <h3>Investment Backing from Industry Leaders</h3>
  <p class="wp-block-paragraph">The funding round was spearheaded by FirstMark Capital and Eurazeo, with notable contributions from telecom billionaire Xavier Niel, DST Global Partners, Eric Schmidt, and several other prominent investors.</p>

  <h3>Innovative Audio Language AI Models</h3>
  <p class="wp-block-paragraph"><a target="_blank" rel="nofollow" href="http://gradium.ai">Gradium</a> specializes in developing advanced audio language AI models that deliver swift, ultra-low latency voice responses. Founded in September 2025 by Neil Zeghidour, a key member of the Kyutai team and former researcher at Google DeepMind, Gradium aims to enhance the speed and accuracy of voice models for developers.</p>

  <h3>Multilingual Support from Day One</h3>
  <p class="wp-block-paragraph">As a European startup, Gradium proudly provides multilingual support right from the start, covering English, French, German, Spanish, and Portuguese, with plans to expand further into additional languages.</p>

  <h3>Competing in a Crowded Market</h3>
  <p class="wp-block-paragraph">The competition is fierce, with major players in the field such as <a target="_blank" href="https://techcrunch.com/2025/03/20/openai-upgrades-its-transcription-and-voice-generating-ai-models/">OpenAI</a>, <a target="_blank" href="https://techcrunch.com/2025/05/27/anthropic-launches-a-voice-mode-for-claude/">Anthropic</a>, <a target="_blank" rel="nofollow" href="https://ai.meta.com/blog/llama-4-multimodal-intelligence/">Meta Llama</a>, and <a target="_blank" rel="nofollow" href="https://mistral.ai/news/voxtral">Mistral</a> already offering robust voice and speech recognition solutions. Well-funded startups like <a target="_blank" href="https://techcrunch.com/2025/10/29/elevenlabs-ceo-says-ai-audio-models-will-be-commoditized-over-time/">ElevenLabs</a> and numerous models on Hugging Face also saturate the market, making it clear that developers have many choices for AI voice capabilities.</p>

  <h3>The Growing Demand for Realistic AI Voices</h3>
  <p class="wp-block-paragraph">Nevertheless, the demand for Gradium's aim — delivering ultra-realistic voice expression and accuracy — is poised to increase as AI transitions from text-based interactions to more dynamic AI agents, finding applications across entertainment, work, and beyond.</p>
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Here are five FAQs about Gradium, the Paris-based AI voice startup that recently secured $70 million in seed funding:

FAQ 1: What is Gradium?

Answer: Gradium is a Paris-based AI voice startup focused on developing advanced voice technologies to enhance communication and user interactions across various platforms and devices.

FAQ 2: What does the recent $70 million seed funding mean for Gradium?

Answer: The $70 million seed funding will enable Gradium to accelerate its research and development efforts, expand its team, and enhance its product offerings, positioning the company for rapid growth in the AI voice technology market.

FAQ 3: Who are the investors backing Gradium?

Answer: Gradium’s seed funding round included a mix of venture capital firms and angel investors, with interests in AI, technology, and innovative startups that demonstrate strong growth potential.

FAQ 4: What applications does Gradium’s technology support?

Answer: Gradium’s voice technology can be integrated into various applications, including customer service solutions, virtual assistants, gaming, content creation, and more, aiming to improve user experience through natural and interactive voice engagement.

FAQ 5: How does Gradium ensure ethical AI voice technology?

Answer: Gradium is committed to ethical AI development by implementing guidelines for responsible AI usage, ensuring user privacy, and focusing on transparency in how its technologies are used and applied in various contexts.

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James Cameron, Director of ‘Avatar,’ Calls Generative AI ‘Horrifying’

James Cameron on the Divergence Between Performance Capture and Generative AI

James Cameron’s films, particularly the “Avatar” series, are renowned for their groundbreaking visual effects and performance capture technology that brings the Na’vi to life with incredible realism. However, the director has strong reservations about generative AI.

Performance Capture: A Celebration of Artistic Collaboration

In a recent CBS Sunday Morning interview ahead of the release of “Avatar: Fire and Ash,” Cameron distinguished performance capture from generative AI. He highlighted that while the two concepts may seem similar, they are fundamentally different.

The Actor-Director Dynamic

“For years, there was this sense that, ‘Oh, they’re doing something strange with computers, and they’re replacing actors,’” Cameron remarked. “However, a deeper understanding reveals that we’re actually celebrating the relationship between actors and directors.”

Behind the Scenes of Avatar

The CBS segment showcases the “Avatar” cast performing intricate underwater scenes in a massive 250,000-gallon water tank, emphasizing the real-time collaboration involved in creating such cinematic experiences.

The Dangers of Generative AI in Filmmaking

Cameron expressed his concerns regarding generative AI, stating, “On the opposite end of the spectrum, you have generative AI that can create characters, actors, or performances entirely from scratch using a text prompt. No, that’s horrifying … That’s exactly what we’re not doing.”

Here are five FAQs about James Cameron’s views on generative AI, particularly in relation to his work in filmmaking:

FAQ 1: Why does James Cameron find generative AI “horrifying”?

Answer: James Cameron expresses concern over generative AI’s potential to undermine the creative process and originality in filmmaking. He worries that it could lead to homogenized content, diminishing the unique vision and artistry that human creators bring to their work.

FAQ 2: How might generative AI impact the film industry according to Cameron?

Answer: Cameron believes generative AI could disrupt the traditional roles of writers, directors, and other creative professionals, potentially replacing human input with automated processes that prioritize efficiency over creativity. He fears this could lead to a loss of storytelling depth and emotional engagement.

FAQ 3: Has Cameron taken any specific actions regarding AI in filmmaking?

Answer: While specific actions may not be publicly detailed, Cameron has been vocal in discussions and forums about the need for ethical guidelines and regulations surrounding AI in creative industries to ensure that human creativity remains at the forefront.

FAQ 4: What are the broader implications of Cameron’s concerns about AI?

Answer: Cameron’s concerns highlight a broader industry dialogue about the balance between technological innovation and artistic integrity. His views reflect fears that reliance on AI could threaten jobs in the creative sector and result in a dated, formulaic approach to storytelling.

FAQ 5: What does Cameron suggest as a solution to the potential threats posed by AI?

Answer: Cameron advocates for responsible use of technology in filmmaking and encourages a collaborative relationship between human creators and AI, where technology enhances rather than replaces human creativity. He emphasizes the need for regulations to protect artistic professions.

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