OpenAI News

OpenAI CEO Sam Altman reportedly said all its text-to-video models would be shuttered, and a $1 billion investment from Disney has also been cancelled.

Part of the QVAC platform, the framework can use non-Nvidia hardware, expanding support beyond the dominant GPUs typically used for AI training.

The fresh capital from Kraken’s parent company, ARK Invest, and Bitmine has backed Eightco’s new bets on OpenAI and MrBeast.

Anthropic previously secured a $200 million Pentagon contract, and its AI has been used in classified operations, including support for US airstrikes on Iran, the Financial Times reports.

OpenAI will deploy its AI models on Pentagon classified networks after the US government ordered agencies to stop using rival Anthropic over national security concerns.

The Solana-based trading bot transferred 52.4 million LOBSTAR tokens in a single transaction after an apparent decimal misread.

OpenAI said it is becoming increasingly important to evaluate the performance of AI agents in “economically meaningful environments” as their adoption grows.

A hypothetical OpenAI crypto token might provide liquid funding for infrastructure, although the feasibility remains unconfirmed.

Tether CEO Paolo Ardoino scaled back the company's $20 billion funding plan, calling the target a "misconception," while maintaining a $500 billion valuation.

A small team is developing the platform, according to sources, which may integrate ChatGPT for content creation while using biometrics for proof-of-personhood. 

AI data center expansion is facing increasing local opposition over power, infrastructure and costs, echoing the resistance that once slowed Bitcoin mining.

AI’s foundational role in knowledge work means monopolies can’t be broken like social media or browsers. Alternatives to centralized AI systems must be built now.

Sam Altman-backed digital ID project World halts Thai operations after authorities cite violations of the Personal Data Protection Act.

The Chinese budget AI model QWEN3 was the only one to generate positive returns, while its more heavily funded competitors returned significant losses.

Crypto debates DeFi forks while AI companies lock trillions of tokens into proprietary training runs, building permanent data set monopolies. The window closes fast.