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Moonshot AI's chatbot Kimi stirred surprise in Silicon Valley and Wall Street with its advanced capabilities, prompting a reevaluation of AI competition and impact.

AI companies building world models are flush with cash but remain secretive about their projects, leaving the industry guessing about their true innovations.

Anthropic’s IPO filing reveals huge losses, rapid growth, and a rare warning that its AI technology could pose risks to humanity.

Ox Alpha, a secretive new AI model, has sparked intense online speculation, raising questions about its origins and potential impact.

Experts doubt that Kimi K3’s rapid advancement is solely due to distilling Anthropic’s Fable, suggesting more complex techniques are at play.

Apple has sued OpenAI, accusing former employees of stealing hardware secrets to boost OpenAI's AI hardware projects.

Google's DeepMind is gearing up to launch its Gemini 4 AI model soon, aiming to accelerate releases under new leadership.

Moonshot AI's updated Kimi model raises debate over AI’s potential role in shaping ideological narratives and the challenges of bias in AI development.

Microsoft unveils new AI models and tools to challenge OpenAI and Anthropic, aiming to expand its AI footprint and innovation.

OpenAI has proposed giving the US government a 5% stake to share AI profits and address public concerns about artificial intelligence.

Snap spins off its AI video team into Dotmo, a new company focused on advancing AI video tech while managing costs.

AI leaders and politicians are debating whether to slow AI development to address safety, balancing innovation with risk management.

A look at notable AI projects and startups that fell short, revealing the challenges behind ambitious artificial intelligence ventures.

Anthropic launches a biology lab, blending AI research with experimental science while emphasizing both innovation and safety.

Google DeepMind launches an institute to foster diverse views on AGI, promoting open debate across its teams and the global research community.

Google DeepMind’s Demis Hassabis urges the US to lead a global AI watchdog with authority to regulate advanced AI models.

AI systems have begun solving decades-old math problems, prompting mathematicians to rethink how research and discovery will evolve.

OpenAI claims to have solved the nearly century-old Navier-Stokes problem using an advanced AI model, potentially reshaping mathematics and AI research.

Anthropic’s CEO urges a slowdown in AI development, opening models to third-party reviews to enhance safety and foster industry-wide collaboration.

Situational Awareness invests $400 million in chip startup Source Foundry, signaling strong confidence in AI hardware innovation despite market challenges.

Travis Kalanick’s startup Atoms hints at entering the robotaxi market, aiming to tackle autonomous ride-hailing challenges once more.

SandboxAQ teams up with Claude to simplify AI-powered drug discovery, making advanced models accessible without needing a computing PhD.

Character.AI files for bankruptcy after five years, selling assets to Disney for $20 million amid challenges in monetizing its chatbot platform.

Only one week remains to reserve exhibit space at TechCrunch Disrupt 2026. Tables are limited and expected to sell out before the September 18 deadline.

The Builders Stage returns to TechCrunch Disrupt 2026, offering founders and investors practical strategies to navigate startup scaling challenges.

Google’s Gemini AI has surpassed 1 billion users, becoming the fastest-growing product in the company's history amid growing questions about future updates.

Situational Awareness sheds public AI bets after losses but retains key Anthropic shares, signaling a strategic focus on private AI ventures.

Anthropic CEO Dario Amodei clarifies his views on open-weight AI models, highlighting concerns about China's expanding AI capabilities and global risks.

Top tech entrepreneurs are ramping up efforts again, spurred by AI's promise and the drive to stay ahead in a rapidly changing landscape.

Google’s Gemma 4 12B AI model runs smoothly on laptops with just 16GB RAM, thanks to smart encoding and token prediction techniques.