Market & RegulationInvestment · $3B
Databricks reaches $188B valuation in new funding round
TechCrunch AIhigh confidence
Why it matters
- →Databricks' valuation highlights the growing importance of AI in enterprise solutions.
- →The company's pivot to AI demonstrates the potential for traditional data companies to evolve in the AI era.
- →Embracing open-weight models offers a cost-effective alternative to proprietary AI solutions.
Databricks has announced a new funding round that values the company at $188 billion, with reports suggesting the raise is approximately $3 billion. This marks a significant increase from its previous $134 billion valuation just five months ago. Databricks has successfully transitioned from a big data company to a prominent AI provider, offering products like Lakebase and Unity. The company's focus on open-weight models for cost-effective AI solutions has contributed to its growing reputation and valuation.
Read originalMore from TechCrunch AI
© TechCrunch AIModels & Labsmodels
Moonshot AI's Kimi K3 Sparks Global AI Debate
The release of Moonshot AI's Kimi K3 model has intensified discussions about the impact of open source AI on global competition. Although Kimi K3 doesn't yet match the capabilities of leading proprietary models like Claude Fable 5, its strong performance has raised concerns about China's expanding role in AI development. This launch, coinciding with President Xi Jinping's speech, led to a market reaction with Nasdaq dropping as investors considered the geopolitical stakes. The situation brings to the forefront the ongoing tension between fostering innovation through open source models and the need for regulatory oversight in the AI sector.
TechCrunch AI
© TechCrunch AIAgentsagents
Vertu's Alphafold: Luxury Phone with AI Agent
Vertu's Alphafold is a high-end foldable phone priced at $6,880, designed for executives who value both luxury and functionality. The phone features Hermes, an AI agent that aims to automate complex workflows, distinguishing it from standard smartphone assistants. While the device boasts premium materials and design, its core hardware is based on ZTE's platform, which might impact its perceived uniqueness. Testing showed that Hermes can handle task automation but sometimes lacks precision and autonomy, raising questions about its capability as a digital assistant. Vertu is focusing on delivering a luxury experience rather than just a technological device, appealing to a niche market.
TechCrunch AI
© TechCrunch AIMarket & Regulationbusiness
Agility Robotics Opens Facility Near Tesla
Agility Robotics is strategically expanding by establishing a 60,000-square-foot facility in Fremont, California, close to Tesla's operations. This new site is set to enhance the training and deployment of its humanoid robot, Digit, which is already proving its worth in manufacturing and warehouse environments. With $300 million in contract orders, Agility is cementing its position as a frontrunner in the humanoid robotics sector, while also preparing for a reverse-merger to enter the public market. By focusing on practical, real-world applications rather than speculative consumer markets, Agility is distinguishing itself from newer AI-inspired robotic startups.
TechCrunch AI
More in Market & Regulation
© WIRED AIMarket & Regulationmusic
AI Music Startup Suno Scrapes Millions of Songs
Suno, an AI music startup, has been caught using millions of songs, lyrics, and podcasts from platforms like YouTube Music and Deezer to train its models. This discovery followed a security breach by a hacker who exposed internal data and customer details. The dataset includes over 113,000 hours of YouTube Music audio, sparking debates about potential copyright violations and data privacy issues. Suno maintains that its data usage is protected under fair use, but this claim is likely to face scrutiny from the music industry. The situation underscores the complex relationship between AI development and intellectual property rights, as companies navigate the legal landscape.
WIRED AI
© WIRED AIMarket & Regulationbusiness
Google Revamps Gemini AI Usage and Pricing
Google has shifted its Gemini AI usage model from counting requests to measuring computing power, meaning users might face limits based on task complexity rather than quantity. This change aims to better reflect the resource costs for Google, but it introduces uncertainty for users about when they might reach their limits. Subscription plans now offer varying levels of access, with higher tiers allowing more complex and frequent AI interactions. This adjustment highlights Google's focus on managing resources efficiently, though it may complicate the user experience. Users must now consider the complexity of their tasks when planning AI usage. The new system could lead to more strategic use of AI resources by consumers.
WIRED AI
© Lev SelectorMarket & Regulationbusiness
Anaconda Acquires Kilo Code
Anaconda has acquired Kilo Code, expanding its capabilities in data science and AI development.
Lev Selector