Inside Physical Intelligence: The Startup Creating Silicon Valley’s Most Exciting Robot Brains

Inside the Innovative World of Physical Intelligence in San Francisco

Physical Intelligence’s headquarters in San Francisco is marked by a subtle pi symbol, hinting at the groundbreaking activities inside. As I step through the door, I’m engulfed in a dynamic hub of robotic experimentation without the usual reception desk or flashy logos.

A Unique Workspace: The Concrete Playground of Robotics

The interior resembles a vast concrete box, softened by an array of long blonde-wood tables. Some tables serve lunch, adorned with Girl Scout cookies, jars of Vegemite, and condiment baskets. In contrast, others are covered with monitors, spare robotics parts, and robotic arms engaged in various tasks.

Robots in Action: A Humorous Glimpse into Automation

During my visit, I observe one robotic arm struggling to fold black pants and another working diligently to turn a shirt inside out. Meanwhile, a third arm successfully peels a zucchini, demonstrating a step toward mastering domestic tasks.

ChatGPT for Robots: Sergey Levine Explains the Vision

Sergey Levine, co-founder of Physical Intelligence and UC Berkeley associate professor, likens their technology to “ChatGPT, but for robots.” He explains that data collected here and other locations trains general-purpose robotic foundation models, which are continuously evaluated at this site.

Testing the Limits: Learning Through Real-World Applications

The company’s approach involves setting up robotic stations in various environments to gather valuable data. They even have a sophisticated espresso machine on-site—not for coffee breaks, but for robots to practice barista skills.

Affordable Hardware: An Unconventional Approach

The hardware, which includes robotic arms priced at around $3,500, may appear unremarkable but is effective. Levine notes that quality intelligence can compensate for less-than-perfect hardware, embodying a philosophy that good execution trumps extraordinary tools.

Meet the Visionary: Lachy Groom’s Journey in Robotics

As I speak with Lachy Groom, co-founder and former Stripe employee, he shares insights on his unplanned pivot from investing to full-time venture with Physical Intelligence. His keen interest in robotics was reignited when he learned about groundbreaking research from Levine and Chelsea Finn.

Securing Funds: A Look at Investment Strategies

The young company has raised over $1 billion, and Groom’s spending strategy prioritizes computing power without a definitive timeline for commercialization. His transparency with investors sets Physical Intelligence apart in the funding arena.

Innovative Strategy: Cross-Embodiment Learning

Groom and co-founder Quan Vuong focus on cross-embodiment learning, which enhances the efficiency of data collection across different robotic platforms. This could revolutionize the robots’ adaptability in various industries.

Competition in Robotic Intelligence: The Rise of Skild AI

Physical Intelligence is among several companies striving for general-purpose robotic intelligence. Competing startup Skild AI recently raised $1.4 billion with a commercially deployed approach, highlighting a growing race in automation technology.

Philosophical Divide: The Future of Robotics

The approaches of Physical Intelligence and Skild AI represent a significant philosophical divide in robotics: one favors in-depth research, while the other values immediate deployment to generate data.

Clarity of Purpose: Groom’s Vision for the Future

Groom discusses the company’s clear objectives, emphasizing a researcher-driven approach rather than external market pressures. Their vision has led to further advancements in a short time frame.

Overcoming Challenges: The Reality of Hardware Development

Despite ambitions for growth, Groom acknowledges the challenges of hardware development—the complexities, delays, and safety considerations make it more intricate than purely software-based companies.

The Future of Automation: Questions and Considerations

As robotic experiments unfold before me, I reflect on pressing questions about the practicality of such automation in everyday life and the overarching vision of the company as it navigates through uncertainty.

The Confidence of Silicon Valley: Betting on Visionaries

Groom remains undeterred by doubts about the feasibility of their mission, buoyed by the support of seasoned researchers and Silicon Valley’s faith in ambitious projects—where past failures contribute to future successes.

Sure! Here are five FAQs with answers regarding Physical Intelligence, the startup known for developing advanced robot brains in Silicon Valley.

FAQs

1. What is Physical Intelligence?

Answer: Physical Intelligence is a startup based in Silicon Valley focused on creating advanced robotic systems with sophisticated artificial intelligence capabilities. Their goal is to enhance the physical abilities of robots, enabling them to perform complex tasks autonomously.

2. What sets Physical Intelligence apart from other robotics companies?

Answer: Physical Intelligence stands out due to its unique approach to integrating AI with physical movement, giving robots enhanced dexterity and adaptability. Their innovative algorithms allow robots to learn and respond to their environments in real-time, setting a new standard in robotic intelligence.

3. What types of applications are Physical Intelligence robots designed for?

Answer: The robots developed by Physical Intelligence are versatile and can be applied in various fields, including manufacturing, logistics, healthcare, and even domestic settings. They are designed to perform tasks that require precision, agility, and the ability to navigate dynamic environments.

4. How does Physical Intelligence ensure the safety of their robots?

Answer: Safety is a top priority for Physical Intelligence. They implement rigorous testing protocols, develop fail-safes, and utilize advanced sensors to ensure their robots can operate safely alongside humans. Continuous updates and improvements are made based on real-world feedback.

5. How can businesses partner with Physical Intelligence?

Answer: Businesses interested in partnering with Physical Intelligence can reach out through their website, where they provide information on collaboration opportunities. They actively seek partnerships to integrate their robotic solutions into various industries, enhancing operational efficiency and innovation.

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Do You Think Tim Cook Struggles with AI Monetization?

Apple Surpasses Expectations: A Deep Dive into AI Monetization Discussions

Apple has once again impressed investors, reporting a remarkable $143.8 billion in revenue for its latest quarter, marking a 16% year-over-year increase. During the earnings call, while many analysts threw soft questions at CEO Tim Cook, one bold voice dared to probe deeper into the tech giant’s AI strategy.

Challenging the Status Quo: AI Monetization Queries

Morgan Stanley analyst Erik Woodring broke the mold by raising an essential question about the financial implications of Apple’s AI initiatives. “When I think about your AI initiatives… many of your competitors have already integrated AI into their devices, but it’s unclear what incremental monetization they’re seeing because of it…” he began.

Grasping the Nerve: A Bold Inquiry

Could there be a hint of apprehension in the finance expert’s tone? Woodring showcased significant courage by posing a question that often remains in the shadows of investor discussions: “So, how do you monetize AI?”

A Common Theme Among Tech Giants

Surprisingly, this critical question doesn’t come up as frequently as it should. Many tech companies adopt a vibe-oriented strategy towards AI development. Consider OpenAI, which, despite its cultural prominence, is not expecting to profit until 2030. Analysts from HSBC are skeptical about this timeline, predicting the need for an astronomical $207 billion in funding. Ask any tech insider about OpenAI’s path to profitability, and you might receive a nonchalant shrug in response.

Tim Cook’s Response: More Style than Substance

In light of his impressive $143.8 billion revenue report, perhaps Tim Cook would finally reveal actionable insights on AI monetization—but his response was rather underwhelming.

“Well, let me just say that we’re bringing intelligence to more of what people love… and I think that by doing so, it creates great value, opening up a range of opportunities across our products and services,” Cook explained.

The Bottom Line: What’s Next for AI Monetization?

In essence, Apple plans to monetize AI by generating “great value,” but specifics on how this will translate into profit remain vague. What we do know is that a variety of new opportunities will arise across their suite of products and services. Cool, right?

Kudos to Morgan Stanley for attempting to dig deeper into this crucial topic.

Sure! Here are five FAQs based on the statement about Tim Cook and AI monetization:

FAQ 1:

Q: Why do some people think Tim Cook struggles with monetizing AI?
A: Critics argue that under Cook’s leadership, Apple has focused more on hardware and services, potentially overlooking aggressive AI monetization strategies seen in other tech companies.

FAQ 2:

Q: What AI initiatives has Apple introduced under Tim Cook?
A: Apple has integrated AI into its products, such as Siri, image recognition in photos, and various machine learning features across its software, but some believe these have yet to fully capitalize on revenue-generating opportunities.

FAQ 3:

Q: How does Apple’s approach to AI differ from other companies like Google or Microsoft?
A: While companies like Google and Microsoft invest heavily in cloud-based AI services that generate significant revenue, Apple’s focus remains on enhancing user experience within its ecosystem rather than offering standalone AI solutions.

FAQ 4:

Q: Does Tim Cook plan to change Apple’s approach to AI monetization?
A: While no specific plans have been publicly announced, Cook has often emphasized innovation and adapting to market demands, suggesting that future strategies may evolve as AI technology advances.

FAQ 5:

Q: What can consumers expect from Apple’s AI developments in the future?
A: Consumers can anticipate continued enhancements in personalized features, data privacy-focused AI applications, and possible new services that leverage AI, although the direct monetization aspect remains uncertain.

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India is Leading the Way in Scaling AI for Education: Lessons for Google

Google’s Education AI: Lessons from India’s Classrooms

As AI rapidly integrates into classrooms around the globe, Google is discovering critical insights on scaling technology not from Silicon Valley, but from the diverse educational landscape of India’s schools.

India serves as a vital testing ground for Google’s education AI amid escalating competition from innovators like OpenAI and Microsoft. With over a billion internet users, the nation leads global engagement with Gemini for educational purposes, as highlighted by Chris Phillips, Google’s VP and GM for education. This surge comes from a system influenced by state-level curricula, substantial government involvement, and varied access to technology.

Insights from Google’s AI for Learning Forum

Phillips shared these observations during the AI for Learning Forum in New Delhi, where he engaged with K-12 administrators and education officials to gather insights on AI tool implementation in classrooms.

The Scale of India’s Educational Landscape

India’s extensive education system, serving approximately 247 million students across nearly 1.47 million schools as per the Indian government’s Economic Survey 2025–26, is supported by around 10.1 million teachers. Its higher education sector is also substantial, with more than 43 million students enrolled in 2021–22—a 26.5% increase since 2014–15. This vast and decentralized system presents challenges for integrating AI tools.

Adapting AI for Local Needs

A key lesson for Google is that educational AI cannot be offered as a one-size-fits-all solution. In India, where states control curriculum decisions and ministries are actively involved, Google has tailored its education AI to allow schools and administrators to determine its application. This shift marks a departure from Google’s typical global-scale approach.

“We are not delivering a one-size-fits-all,” Phillips stated in an interview with TechCrunch. “It’s a very diverse environment around the world.”

Innovative Learning Approaches

This diversity is also changing Google’s perspective on AI-driven learning. The company notes a quicker adoption of multimodal learning in India, which combines video, audio, and text—crucial for accommodating various languages, learning styles, and resource availability.

Prioritizing the Teacher-Student Relationship

Another significant shift is Google’s focus on designing AI tools that empower teachers rather than supplanting them. These tools aim to enhance educators’ capabilities in planning, assessing, and managing classrooms, reinforcing the importance of the teacher-student relationship.

“The teacher-student relationship is critical,” said Phillips. “We’re here to help that grow and flourish, not replace it.”

Addressing Access Challenges

In regions of India where classrooms lack individual access to devices or reliable internet, Google is adapting its approach. Many schools operate under shared device models, facing inconsistent connectivity, which requires Google’s solutions to be flexible and context-sensitive.

Transformative Educational Initiatives

Google is translating these insights into actionable programs, such as AI-powered JEE Main preparation, a nationwide teacher training initiative for 40,000 Kendriya Vidyalaya educators, and collaborations with government bodies to create India’s first AI-enabled state university.

Gemini enhances JEE Main preparation for aspiring Indian engineers
Image Credits:Google

Global Implications of India’s AI Experience

For Google, the challenges faced in India serve as a precursor to potential issues that may arise as AI expands further into educational systems globally. The company anticipates that questions related to control, access, and localization—apparent in India—will play vital roles in shaping the global landscape of AI in education.

Shifting Focus to Learning

Google’s emphasis reflects a significant transition in AI usage. While entertainment dominated AI applications last year, learning has emerged as a leading use case among younger demographics, turning education into a critical arena for Google as students increasingly utilize AI for studying and skill development.

Rising Competition in the EdTech Space

India’s intricate educational framework is garnering attention from competitors as well. OpenAI has begun establishing a local presence in education, appointing former Coursera APAC managing director Raghav Gupta as its education head for India and APAC, alongside a new Learning Accelerator initiative. Meanwhile, Microsoft has expanded its partnerships with educational institutions and edtech companies like Physics Wallah to enhance AI-driven learning and teacher training.

Concerns Regarding AI in Education

Simultaneously, India’s latest Economic Survey raises flags about potential risks associated with uncritical AI usage, such as dependency on automated tools and adverse effects on learning outcomes. Citing research from MIT and Microsoft, it warns that overreliance on AI for creative tasks may contribute to cognitive decline and impede critical thinking skills.

The Future of AI in Education

Whether Google’s strategies in India will serve as a blueprint for global AI in education remains uncertain. However, as generative AI integrates deeper into public educational systems worldwide, the lessons being learned in India are likely to resonate far beyond its borders, presenting crucial insights for the entire industry.

Here are five frequently asked questions (FAQs) about how India is teaching Google how AI in education can scale:

FAQ 1: How is India utilizing AI in education?

Answer: India is implementing AI technologies to personalize learning experiences, enhance student engagement, and support teachers with data-driven insights. Initiatives include adaptive learning platforms that cater to individual student needs, making education more efficient and accessible.

FAQ 2: What role does Google play in this AI education initiative?

Answer: Google collaborates with educational institutions in India to develop and refine AI tools that can be integrated into learning environments. By leveraging local insights and feedback, Google aims to enhance its educational technologies and make them more applicable in diverse settings.

FAQ 3: What are the benefits of AI in education as demonstrated by India’s approach?

Answer: The benefits include personalized learning paths, improved student performance tracking, increased access to quality resources, and efficient administrative processes. These advantages help scale educational efforts, especially in under-resourced areas.

FAQ 4: Are there any successful case studies from India regarding AI in education?

Answer: Yes, several Indian ed-tech startups have successfully implemented AI solutions, leading to significant improvements in student engagement and learning outcomes. For example, platforms using AI algorithms to recommend personalized study plans have shown notable success in districts with varying educational challenges.

FAQ 5: How can other countries learn from India’s experience with AI in education?

Answer: Other countries can study India’s approach to leveraging local knowledge and context in AI development, focusing on inclusive access and scalable solutions. By collaborating with educators and policymakers, they can adapt and implement similar strategies tailored to their unique educational landscapes.

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The AI Infrastructure Surge Continues to Gain Momentum

Tracking the AI Boom: Insights from the Semiconductor Supply Chain

One significant indicator of the AI boom is the activity within the hardware supply chain. A prime example is Nvidia, which has skyrocketed to become the most valuable company globally as AI firms invest billions monthly in GPUs to expand their data centers. However, examining Nvidia’s suppliers can offer an even broader perspective on market trends.

The Importance of ASML in the Semiconductor Landscape

This brings us to ASML, a Dutch photolithography firm that stands as a crucial player in the semiconductor sector. As the exclusive supplier of EUV equipment essential for manufacturing advanced chips, ASML is integral to the industry’s overall health. Strong performance at ASML typically signals optimistic semiconductor sales expectations.

ASML’s Impressive Financial Performance

According to its latest quarterly earnings report, ASML is thriving. The company reported a remarkable 32.7 billion euros in net sales—a figure that speaks volumes. However, the crucial statistic lies in the “new bookings,” indicating fresh orders received this quarter, which reflect the anticipated chip demand from data center expansions.

A Strong Signal for the AI Infrastructure Boom

By this metric, the AI infrastructure boom remains robust. ASML secured a record-breaking 13 billion euros in new orders last quarter—more than doubling the orders from the previous quarter.

CEO Insights on AI Demand

In a recent earnings statement, ASML CEO Christophe Fouquet highlighted that the increased demand is rooted in AI.

“In recent months, many of our customers have shared a notably more positive assessment of the medium-term market situation, primarily based on more robust expectations of the sustainability of AI-related demand,” Fouquet stated. Translated into simpler terms, this means clients are confident that AI labs will genuinely require the data centers they’re currently investing in, leading to increased chip production expenditures.

The Uncertain Future: Opportunities and Risks

It’s important to note that this optimistic outlook isn’t assured. The future remains unpredictable! It could be several years before all orders are fulfilled, and some clients might withdraw before their orders are completed. The notorious Zitron predictions could materialize and potentially disrupt the sector.

Infrastructure Spending: A Trend Worth Watching

However, if you’re anticipating companies to backtrack on the projected trillions of dollars in infrastructure investments, you may be waiting for quite some time.

Sure! Here are five FAQs based on the statement about the ongoing AI infrastructure boom:

FAQ 1: What factors are driving the AI infrastructure boom?

Answer: The AI infrastructure boom is primarily driven by the increasing demand for advanced machine learning and artificial intelligence applications across various industries, such as healthcare, finance, and transportation. Additionally, the growth of big data, improved hardware capabilities, and advancements in cloud computing play significant roles in amplifying this trend.

FAQ 2: How is this boom impacting the technology industry?

Answer: The AI infrastructure boom is reshaping the technology industry by fostering innovations in cloud services, data storage solutions, and high-performance computing. Companies are investing heavily in developing robust AI frameworks and platforms, leading to increased competition, job creation, and the emergence of new startups specializing in AI technologies.

FAQ 3: What are the challenges associated with the increasing demand for AI infrastructure?

Answer: Challenges include the high cost of infrastructure investments, the need for skilled personnel to manage and develop AI systems, and concerns about data security and privacy. Furthermore, there are ethical considerations surrounding the deployment of AI technologies, such as bias in algorithms and potential job displacement.

FAQ 4: How can businesses prepare for the ongoing AI infrastructure boom?

Answer: Businesses can prepare by investing in training and upskilling their workforce in AI and data analytics, adopting scalable cloud solutions, and exploring partnerships or collaborations with AI technology providers. Additionally, staying informed about emerging trends and best practices will help organizations leverage AI effectively.

FAQ 5: What is the future outlook for AI infrastructure development?

Answer: The future outlook for AI infrastructure development appears robust, with continuous advancements expected in areas like quantum computing, edge AI, and federated learning. As technologies evolve, we can anticipate further integration of AI into everyday applications, enhancing efficiency and enabling new capabilities across various sectors.

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Risotto Secures $10M Seed Funding to Enhance Ticketing Systems with AI Technology

Revolutionizing Help Desk Automation: The Rise of AI-Driven Solutions

The help desk automation sector is on the verge of transformation, driven by advanced AI technologies. While established players like Zendesk, ServiceNow, and Freshworks currently lead the market, an array of innovative startups are positioning themselves to disrupt the status quo.

Introducing Risotto: A New Challenger in Help Desk Automation

Risotto is one of those startups gaining momentum. Recently, the company announced a successful $10 million seed funding round, spearheaded by Bonfire Ventures and complemented by contributions from 645 Ventures, Y Combinator, Ritual Capital, and Surgepoint Capital.

Smart Solutions for Efficient Ticket Management

Risotto’s platform is designed to automate the resolution of help desk inquiries. Positioned between ticket management solutions like Jira and the complex internal tools necessary for ticket resolution, Risotto’s unique infrastructure ensures reliability while utilizing a third-party foundation model. CEO Aron Solberg emphasizes the importance of robust backend systems that mitigate the unpredictability of AI models.

Enhancing AI with Real-World Training

“Our secret weapon lies in our extensive prompt libraries, evaluation suites, and a vast array of real-world scenarios that train the AI to perform reliably,” Solberg shared with TechCrunch.

Proven Impact: Automating Support for Gusto

Collaborating with payroll provider Gusto, Risotto successfully automated 60% of their support tickets. While currently focused on traditional ticketing systems, Risotto is poised for a more significant evolution in the help desk landscape as AI technology reshapes operational paradigms.

A Shift Towards AI-Driven Interfaces

“Although 95% of our clients still rely on conventional methods for ticket resolution, we are witnessing a trend among newer organizations where Large Language Models (LLMs) serve as the primary interface between users and technology,” Solberg noted.

Integrating with ChatGPT: The Future of Ticket Management

This shift suggests that future ticket management may increasingly involve tools like ChatGPT for Enterprise, which could streamline ticketing alongside various professional functions. Risotto’s team is actively developing integrations with platforms like ChatGPT for Enterprise and Gemini, enhancing its capabilities through streamlined MCP connections.

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Transforming the Landscape of Help Desk Solutions

If this trend gains traction, it could redefine industry standards. Tools like Risotto would serve a central AI, delivering more focused and dependable services than traditional general-purpose systems. This represents a paradigm shift in SaaS solutions, emphasizing reliability and effective context management over user-friendly interfaces.

Streamlining IT Operations: A Priority for Businesses

For now, Risotto’s primary advantage lies in simplifying the chaotic landscape of various IT systems. Solberg points out, “One of our clients has four full-time employees dedicated solely to managing Jira, and that’s without even integrating AI. Their main task is just handling the platform itself.”

Here are five FAQs about Risotto’s $10M seed funding round to enhance ticketing systems using AI:

FAQ 1: What is Risotto and what problem does it aim to solve?

Answer: Risotto is a technology company focused on developing innovative ticketing systems powered by artificial intelligence. The company aims to streamline the ticket purchasing process, making it simpler and more user-friendly for consumers and event organizers alike.

FAQ 2: How much funding did Risotto raise, and what will it be used for?

Answer: Risotto has successfully raised $10 million in seed funding. This investment will primarily be allocated to further develop their AI-driven ticketing platform, enhance user experience, and expand market outreach.

FAQ 3: How will AI improve ticketing systems according to Risotto?

Answer: Risotto plans to leverage AI to offer personalized recommendations, automate customer service, and optimize pricing strategies. These innovations aim to enhance user satisfaction and increase ticket sales by making the buying process more intuitive and efficient.

FAQ 4: Who are the investors backing Risotto’s seed funding?

Answer: While specific names of investors may vary, the seed funding round includes a mix of venture capital firms and angel investors who specialize in technology and innovative startups, all of whom believe in the potential of AI to transform ticketing systems.

FAQ 5: When can consumers expect to see Risotto’s ticketing solutions in action?

Answer: Risotto is currently in the development phase. While exact timelines may vary, the company anticipates launching its AI-enhanced ticketing system within the next 12 to 18 months, aiming to roll out features gradually to optimize user feedback and experience.

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Nvidia Allocates $2B to Support Debt-Stricken CoreWeave in Expanding AI Compute by 5GW

Nvidia Invests $2 Billion in CoreWeave to Accelerate AI Data Centers

Nvidia has announced a significant $2 billion investment in CoreWeave, aiming to boost the data center company’s capacity for AI computing by over 5 gigawatts before 2030.

Nvidia Strengthens Partnership with CoreWeave

As a previous investor in CoreWeave, Nvidia has acquired the company’s Class A shares at $87.20 each. This partnership aims to establish “AI factories”—data centers specialized in utilizing Nvidia’s cutting-edge technology.

Integration of Advanced Nvidia Technologies

CoreWeave plans to incorporate Nvidia’s latest innovations across its platform, including the upcoming Rubin chip architecture, Bluefield storage systems, and the new Vera CPU line.

CoreWeave Under Scrutiny Amid Debt Concerns

Despite facing criticism for its substantial debt—reportedly $18.81 billion as of September 2025—CoreWeave has reported a robust revenue of $1.36 billion in the third quarter. The company’s CEO, Michael Intrator, defends its financial model, which relies on leveraging GPUs as collateral.

A Transition to AI Services

CoreWeave has successfully transitioned from its origins in cryptocurrency mining to becoming a provider of data center services focused on AI training and inference. The company has made strategic acquisitions to enhance its technological offerings, including Weights & Biases and OpenPipe.

Expanding Partnerships and Customer Base

CoreWeave currently serves several major clients, including OpenAI, Meta, and Microsoft. The recent investment from Nvidia will also include support for acquiring land and power resources for their data centers.

Positive Market Reaction

Following the announcement of the investment, CoreWeave’s shares surged by over 15%, reflecting growing optimism in its future prospects.

Nvidia’s Ongoing Commitment to AI Development

For Nvidia, a key player in the AI sector, this investment marks another chapter in its strategy to sustain the rapid growth and innovation in artificial intelligence technology. The company continues to make numerous investments to foster the development of this emerging field.

Here are five FAQs related to Nvidia’s recent investment in CoreWeave:

FAQ 1: What is the significance of Nvidia’s $2B investment in CoreWeave?

Answer: Nvidia’s $2 billion investment aims to support CoreWeave in expanding its AI computing capacity by adding 5 gigawatts (GW) of power. This substantial financial backing not only strengthens CoreWeave’s infrastructure but also enhances Nvidia’s position in the rapidly growing AI and cloud computing markets.

FAQ 2: How will the new investment affect CoreWeave’s operations?

Answer: The investment will enable CoreWeave to significantly scale up its AI compute resources, allowing the company to handle increased demand from AI applications. This expansion will enhance their ability to offer competitive services in the cloud computing sector.

FAQ 3: What are the potential impacts of this investment on the AI industry?

Answer: By boosting CoreWeave’s computational power, Nvidia’s investment could accelerate advancements in AI technologies, enabling faster processing and more robust AI models. This could lead to innovation across various sectors, including healthcare, finance, and entertainment.

FAQ 4: Why did Nvidia choose to invest in CoreWeave specifically?

Answer: CoreWeave has established itself as a key player in providing cloud services tailored for AI workloads. Nvidia likely sees potential in CoreWeave’s capabilities and aligns with their strategy to expand the ecosystem of AI computing resources, thus enhancing the demand for Nvidia’s GPUs.

FAQ 5: What does the addition of 5GW of AI compute mean for energy consumption?

Answer: The addition of 5GW of AI compute represents a significant increase in energy demands, potentially leading to discussions around sustainable energy solutions. Both Nvidia and CoreWeave are likely to consider how to source this energy responsibly, potentially using renewable energy to mitigate environmental impacts.

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Tech CEOs Spar and Showcase AI Innovations at Davos

The Tech Transformation of Davos: AI Takes Center Stage

This week’s World Economic Forum in Davos felt more like a tech summit, spotlighting industry giants like Elon Musk, Jensen Huang, Dario Amodei, and Satya Nadella, who shared their visions for AI amid concerns of a potential bubble.

AI: Buzz and Battle Among Industry Leaders

CEOs discussed AI’s transformative potential while also taking jabs at competitors and partners. This year’s Davos displayed a shift in focus, emphasizing technology over traditional global issues like climate change, which failed to captivate the audience.

Insights from the TechCrunch Equity Podcast

In a recent episode of TechCrunch’s Equity podcast, I explored the dynamics of Davos with my colleagues Kirsten Korosec and Sean O’Kane.

Kirsten: The atmosphere has changed; tech companies like Meta and Salesforce dominate the scene while crucial topics like poverty draw less interest. The USA House, backed by McKinsey and Microsoft, was among the most prominent displays, highlighting a shift in focus.

Elon Musk’s Noteworthy Attendance

Elon Musk’s presence at Davos surprised many, as he’s previously avoided the event. His participation stirred discussions, though details remained sparse.

Technology’s Role in Global Dynamics

Anthony: While AI dominates the tech narrative, it intertwines with critical conversations about international trade and politics at Davos. Notable remarks came from Anthropic’s CEO, who criticized a Trump administration decision allowing Nvidia to export chips to China, bridging technology with geopolitics.

Provocative Remarks from Industry Leaders

Sean: CEOs expressed candid opinions, with Satya Nadella referring to data centers as “token factories,” highlighting a new level of competition among tech leaders. The atmosphere was charged, revealing the competitive tensions at play.

Investment and Talent Retention Challenges

A palpable tension existed among CEOs, showing their urgency in jockeying for market leadership while managing talent effectively.

Kirsten: The rare sight of top executives exchanging barbs at Davos underscored the competitive landscape, amplifying their calls for broader AI adoption and equity in its distribution.

Here are five frequently asked questions (FAQs) based on the topic of tech CEOs discussing AI at Davos:

FAQ 1: What were the main topics of discussion among tech CEOs at Davos regarding AI?

Answer: The main topics included the potential of AI to drive innovation and economic growth, ethical considerations surrounding AI usage, regulatory frameworks needed to ensure safety, and competition among companies in the AI space.

FAQ 2: Which tech CEOs were prominent in the discussions about AI at Davos?

Answer: While specific attendees may vary, CEOs from major tech companies like Microsoft, Google, and OpenAI typically take center stage in these discussions, often showcasing their advancements and visions for AI technology.

FAQ 3: What are some concerns raised by tech CEOs regarding AI?

Answer: CEOs expressed concerns about the ethical implications of AI, including potential biases in AI systems, job displacement, data privacy issues, and the need for robust regulations to prevent misuse.

FAQ 4: How do tech CEOs view the competitive landscape of AI development at Davos?

Answer: Many CEOs view the AI landscape as highly competitive, with companies racing to lead in innovation. This competition can spur advancements but also raises concerns about monopolistic practices and collaboration versus rivalry.

FAQ 5: What future trends in AI were predicted by tech leaders at Davos?

Answer: Tech leaders predicted trends such as increased integration of AI in everyday applications, advancements in natural language processing, greater focus on AI ethics, and a push for more collaborative research initiatives to tackle global challenges using AI.

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Legal AI Leader Harvey Acquires Hexus Amid Intensifying Competition in Legal Tech

<h2>Harvey Acquires Hexus: A Strategic Step in Legal Tech Expansion</h2>

<p id="speakable-summary" class="wp-block-paragraph">Harvey, the rising star in legal AI, has successfully acquired <a target="_blank" rel="nofollow" href="https://www.hexus.ai/">Hexus</a>, a startup renowned for creating innovative tools for product demos, videos, and guides. This acquisition comes as Harvey embarks on a vigorous expansion in the fiercely competitive legal tech landscape.</p>

<h3>Leadership Transition and Team Integration</h3>

<p class="wp-block-paragraph">Hexus founder and CEO Sakshi Pratap, who boasts a rich engineering background from Walmart, Oracle, and Google, shares with TechCrunch that her San Francisco team is now part of Harvey. The engineers based in India will join once Harvey sets up a Bangalore office. Pratap will spearhead an engineering team focused on enhancing Harvey’s solutions for in-house legal departments.</p>

<h3>Accelerating Innovation and Expertise</h3>

<p class="wp-block-paragraph">“We bring extensive experience in building enterprise AI tools in related domains,” Pratap stated. “This expertise allows Harvey to accelerate its pace in a rapidly evolving market.”</p>

<h3>Funding and Acquisition Insights</h3>

<p class="wp-block-paragraph">Prior to the acquisition, Hexus had secured $1.6 million in funding from investors including Pear VC and Liquid 2 Ventures. Although Pratap did not disclose specific terms of the acquisition, she mentioned that the deal framework aligns with “long-term team incentives.”</p>

<h3>Establishing a Strong Market Position</h3>

<p class="wp-block-paragraph">This acquisition positions Harvey as a frontrunner among AI startups. Last fall, the company announced it attained a valuation of <a target="_blank" rel="nofollow" href="https://www.bloomberg.com/news/articles/2025-10-29/andreessen-horowitz-invests-in-legal-ai-startup-harvey-at-an-8-billion-valuation">$8 billion</a> following the completion of a $160 million funding round, which brought its total funding for 2025 to $760 million. The round was led by Andreessen Horowitz, alongside new investors T. Rowe Price and WndrCo, and existing backers such as Sequoia Capital and Kleiner Perkins.</p>

<h3>Client Base and Market Reach</h3>

<p class="wp-block-paragraph">Harvey proudly serves over 1,000 clients in 60 countries, including a substantial number of the top 10 law firms in the United States.</p>

<h3>The Origins of Harvey: A Game-Changing Idea</h3>

<p class="wp-block-paragraph">In an interview with TechCrunch, co-founder and CEO Winston Weinberg recounted Harvey’s beginnings, which stemmed from a <a target="_blank" href="https://techcrunch.com/2025/11/14/inside-harvey-how-a-first-year-legal-associate-built-one-of-silicon-valleys-hottest-startups/">cold email</a> to OpenAI CEO Sam Altman. Weinberg, who was a first-year associate at O’Melveny & Myers at the time, and co-founder Gabe Pereyra, a Google DeepMind and Meta researcher, tested GPT-3 on landlord-tenant law inquiries from Reddit. They discovered that two out of three attorneys said they would send out 86 of 100 responses with no edits.</p>

<h3>Transforming the Legal Industry</h3>

<p class="wp-block-paragraph">“That was when we realized this technology could revolutionize the entire industry,” Weinberg reflected.</p>

<h3>Connecting with OpenAI</h3>

<p class="wp-block-paragraph">After reaching out to Altman on July 4, 2022, they spoke later that day and soon received their initial funding from the OpenAI Startup Fund, which continues to be Harvey’s second-largest investor.</p>

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Here are five frequently asked questions (FAQs) about Harvey’s acquisition of Hexus in the context of the competitive legal tech landscape:

FAQ 1: What prompted Harvey to acquire Hexus?

Answer: Harvey’s acquisition of Hexus was driven by the need to enhance its technological capabilities and expand its service offerings. As competition in legal tech intensifies, acquiring Hexus, which specializes in innovative legal solutions, allows Harvey to bolster its portfolio and provide more comprehensive tools for legal professionals.

FAQ 2: How will this acquisition impact current users of both platforms?

Answer: Current users of both Harvey and Hexus can expect an integration of features and functionalities that will enhance their overall experience. Harvey aims to maintain continuity for existing users while gradually introducing new, advanced tools that benefit from the strengths of both platforms.

FAQ 3: Will there be changes to the pricing structure for users?

Answer: While specific details regarding pricing changes have not been disclosed, Harvey has indicated that it aims to provide value to its users. Users can expect any changes to pricing to reflect the enhanced capabilities and features resulting from the merger, ensuring a competitive offering in the legal tech market.

FAQ 4: What are the anticipated benefits of this merger for the legal industry?

Answer: The merger positions Harvey to leverage Hexus’s innovative technology, potentially leading to more efficient legal workflows, better document management, and advanced data analytics. This evolution is expected to empower legal professionals, reduce costs, and enhance service delivery across the industry.

FAQ 5: What should legal professionals expect from Harvey in the future?

Answer: Legal professionals can anticipate continued innovation and improvements in platform functionality from Harvey. The acquisition of Hexus is part of Harvey’s strategy to stay at the forefront of legal tech, focusing on user-centric solutions that address the evolving needs of the legal profession. Expect more collaborations, enhanced AI capabilities, and tools designed to simplify complex legal processes.

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OpenAI CEO Sam Altman to Visit India as AI Leaders Gather in New Delhi: Sources

OpenAI’s Sam Altman Plans Major Visit to India Amid AI Summit Buzz

OpenAI CEO Sam Altman is gearing up for his first trip to India in nearly a year this February, coinciding with a high-profile AI summit in New Delhi that will attract tech luminaries from companies like Meta, Google, and Anthropic.

India’s Groundbreaking AI Impact Summit 2026

India is set to host its inaugural significant AI event, the India AI Impact Summit 2026, from February 16 to 20. This summit will assemble global tech titans including Nvidia CEO Jensen Huang, Google CEO Sundar Pichai, and Anthropic CEO Dario Amodei, along with prominent Indian business leaders such as Reliance Industries chairman Mukesh Ambani, as noted on the summit’s website. While Altman’s attendance has not been officially confirmed, his presence is anticipated.

OpenAI’s Strategic Meetings During the Summit

Sources indicate that OpenAI intends to host private discussions during the summit in New Delhi, where Altman is expected to be present. Additionally, an OpenAI event is scheduled for February 19, inviting venture capitalists and industry executives.

Plans Subject to Change Amid Growing Tech Events

Although Altman’s visit has not been publicly announced, plans may still evolve. Several other U.S. companies are also organizing events around the summit. Anthropic will host a developers’ day in Bengaluru on February 16, while Nvidia is planning an evening occasion in New Delhi during the summit week, highlighting the global interest in engaging with India’s vibrant tech ecosystem.

Significance of Altman’s Visit to India

This visit marks Altman’s first return to India in nearly a year, following his previous trip in February 2025. He had expressed intentions to come back later in 2025 after OpenAI announced its new office in New Delhi, yet that trip did not materialize.

India: A Key Growth Market for AI

India is rapidly establishing itself as a critical growth market for American AI companies. Recently, Anthropic opened an office in Bengaluru and appointed former Microsoft India managing director Irina Ghose to lead its local efforts. Concurrently, partnerships between Google and Reliance Jio, as well as Perplexity and Bharti Airtel, are paving the way for expansive AI service offerings to millions of telecom users.

OpenAI Expands Its Footprint in India

OpenAI has been ramping up its operations in India, actively hiring for roles in enterprise sales, technical deployment, and AI regulation. The company is currently seeking talent in New Delhi, Mumbai, and Bengaluru, as India stands out as ChatGPT’s largest market by downloads and its second-largest in terms of users.

Future Goals and Challenges in AI Infrastructure

Altman is expected to engage with tech executives, startup founders, and government officials, as OpenAI aims to enhance ChatGPT’s adoption in the enterprise sector while maintaining its mass-market appeal. The company is also eyeing India as a potential hub for infrastructure growth, especially given the recent multi-billion-dollar investments from Google and Microsoft aimed at expanding their AI and cloud operations in the region.

Indian Government’s Aspirations for AI Investments

Amidst these developments, the Indian government is optimistic that the forthcoming summit will solidify India’s position as a prime destination for substantial AI investments. The country’s IT minister stated that the event could lead to an influx of up to $100 billion in funding, with initiatives aimed at urging local startups to develop AI solutions tailored for domestic demands.

At the time of writing, OpenAI, India’s IT ministry, and the summit organizers have not responded to requests for comments.

Here are five FAQs based on the topic of Sam Altman’s planned visit to India as AI leaders gather in New Delhi:

FAQ 1: Why is Sam Altman visiting India?

Answer: Sam Altman is visiting India to participate in discussions and events focused on artificial intelligence, engaging with AI leaders and innovators to explore collaboration opportunities and advancements in the field.

FAQ 2: What events will take place during this visit?

Answer: The visit will likely include conferences, panel discussions, and networking events focusing on AI development, ethics, policy-making, and the role of technology in shaping future economies.

FAQ 3: Who are the other AI leaders expected to attend the events in New Delhi?

Answer: While specific names haven’t been confirmed, notable figures from various sectors including academia, industry, and government, as well as leaders from major tech companies, are expected to participate in the discussions.

FAQ 4: How does this visit impact India’s AI landscape?

Answer: Altman’s visit could enhance India’s AI landscape by fostering international partnerships, attracting investment, and sharing best practices, which might accelerate the growth and innovation in the region’s tech ecosystem.

FAQ 5: What topics are likely to be discussed during these gatherings?

Answer: Key topics may include the future of AI technology, ethical considerations, regulatory frameworks, collaboration between countries, and strategies for leveraging AI for economic development and social good.

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Google Allegedly Acquires Team from AI Voice Startup Hume AI

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    <h2>Google DeepMind Acquires Hume AI's Top Talent in Latest AI Move</h2>

    <p id="speakable-summary" class="wp-block-paragraph">In a strategic licensing agreement, Google DeepMind has onboarded Hume AI’s CEO and several key engineers from the innovative voice AI startup, Hume AI, as reported by <a target="_blank" rel="nofollow" href="https://www.wired.com/story/google-hires-hume-ai-ceo-licensing-deal-gemini/">Wired</a>.</p>

    <h3>Continuing Support for AI Firms</h3>
    <p class="wp-block-paragraph">Despite the acquisition of key personnel, Hume AI will continue to provide its technology to other companies in the AI sector. Financial terms of the agreement have not been disclosed.</p>

    <h3>Enhancing Voice Features with Expertise</h3>
    <p class="wp-block-paragraph">According to Wired, CEO Alan Cowen along with approximately seven engineers will collaborate with DeepMind to enhance the voice features of its Gemini platform.</p>

    <h3>Trend of Talent Acquisitions in AI</h3>
    <p class="wp-block-paragraph">This move reflects a growing trend in the AI industry where companies acquire top talent rather than the entire startup, helping them avoid regulatory scrutiny. Just last year, <a target="_blank" href="https://techcrunch.com/2025/07/11/windsurfs-ceo-goes-to-google-openais-acquisition-falls-apart/">Google acquired executives and researchers from Windsurf</a>, while OpenAI has similarly acquired teams from startups including <a target="_blank" href="https://techcrunch.com/2026/01/08/openai-to-acquire-the-team-behind-executive-coaching-ai-tool-convogo/">Covogo</a> and <a target="_blank" href="https://techcrunch.com/2025/10/03/with-its-latest-acqui-hire-openai-is-doubling-down-on-personalized-consumer-ai/">Roi</a>. The Federal Trade Commission has voiced intentions to scrutinize these types of acquisitions more closely.</p>

    <h3>Voice Technology as the New Frontier</h3>
    <p class="wp-block-paragraph">This acquisition signifies the increasing significance of voice technology in the AI landscape. Hume AI specializes in emotional understanding through voice recognition. In 2024, they launched their <a target="_blank" rel="nofollow" href="https://www.hume.ai/blog/series-b-evi-announcement">Empathetic Voice Interface</a>, which adds emotional intelligence to conversational AI. With nearly $80 million raised, the startup anticipates generating $100 million in revenue this year, according to reports from Wired.</p>

    <h3>Google's Ongoing Innovations in Voice AI</h3>
    <p class="wp-block-paragraph">Google is not standing still; they have been actively enhancing their Gemini Live feature, enabling users to interact conversationally with their chatbot. Recently, they introduced a new audio model for the Live API to better manage complex workflows, as outlined in the <a target="_blank" rel="nofollow" href="https://ai.google.dev/gemini-api/docs/changelog">Gemini API release notes</a>.</p>

    <h3>Industry-Wide Investments in Voice Technology</h3>
    <p class="wp-block-paragraph">Other major players are making significant investments in voice technology as well. <a target="_blank" href="https://techcrunch.com/2026/01/01/openai-bets-big-on-audio-as-silicon-valley-declares-war-on-screens/">OpenAI is reportedly reworking its audio models</a> for a new audio-first personal device, developed in collaboration with Jonny Ive’s io. Leaks indicate that this device may take the form of earbuds.</p>

    <h3>Meta's Voice Advancement Strategies</h3>
    <p class="wp-block-paragraph">Meta has also accelerated its commitment to AI audio technologies, recently acquiring <a target="_blank" href="https://techcrunch.com/2025/07/13/meta-acquires-voice-startup-play-ai/">Play AI</a>. Their Ray-Ban smart glasses increasingly depend on voice capabilities for tasks such as enhancing conversations in noisy environments and enabling hands-free controls for calls and other functions.</p>

    <h3>The Growing Demand for Voice Applications</h3>
    <p class="wp-block-paragraph">Investor Vanessa Larco emphasized the rising importance of voice technology by stating, “Voice is the only acceptable input mode for wearables.” This acquisition could further escalate the demand for voice applications in various industries.</p>

    <h3>Continued Growth in Voice AI Revenue</h3>
    <p class="wp-block-paragraph">The demand for voice AI continues to rise. Recently, ElevenLabs, a leading AI voice generation startup, reported crossing <a target="_blank" href="https://techcrunch.com/2026/01/13/elevenlabs-ceo-says-the-voice-ai-startup-crossed-330-million-arr-last-year/">$330 million in annual recurring revenue</a>.</p>
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Sure! Here are five FAQs based on Google acquiring the team behind the AI voice startup Hume AI.

FAQs

1. What is Hume AI?
Hume AI is a startup focused on developing advanced AI voice technology that aims to enhance emotional understanding in voice interactions. The platform uses machine learning to analyze and interpret human emotions through vocal cues.

2. Why did Google acquire the Hume AI team?
Google reportedly acquired Hume AI to enhance its AI and voice recognition capabilities. By integrating Hume’s technology, Google aims to improve its products, making them more emotionally intelligent and responsive to user needs.

3. How will this acquisition impact Google’s existing AI technologies?
The integration of Hume AI’s technology is expected to enrich Google’s existing AI frameworks, particularly in voice assistants and chatbots. This will likely lead to more natural and emotionally aware interactions for users.

4. What are the implications for Hume AI’s original technology?
While specific details are unclear, it’s likely that Hume AI’s original technology will be integrated into Google’s projects. The startup’s focus on emotional intelligence in AI could lead to new features in Google’s voice products in the future.

5. Will the Hume AI team continue to develop independent projects?
Although details about the team’s future plans are not fully disclosed, it is common for acquired teams to either integrate fully into the parent company’s projects or continue working on innovative solutions within the new framework.

Feel free to ask more questions or for additional information!

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