Marina Temkin

No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT over two years ago — and the many competitive generative AI services that have launched since. And its stock price soared.  During that period, the world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but particularly in AI startups. The

Investor interest in AI coding assistants is exploding. Anysphere, the developer of AI-powered coding assistant Cursor, is in talks with venture capitalists to raise capital at a valuation of nearly $10 billion, Bloomberg reported. The round, if it transpires, would come about three months after Anysphere completed its previous fundraise of $100 million at a pre-money valuation of $2.5 billion, as TechCrunch was first to report. The new round is expected to be led by

Gong, a startup that helps companies predict their revenue from potential sales, has surpassed $300 million in annualized recurring revenue, the company announced on Wednesday. Since its founding in 2016, Gong has used AI to analyze customer interactions. The addition of generative AI capabilities in recent years has helped to fuel the company’s growth. “We’re seeing great momentum. That’s why we’re excited to share the numbers,” Gong CEO Amit Bendov told TechCrunch. Gong was last

Since its founding in 2021, OpenAI Startup Fund has raised $175 million for its main fund and secured an additional $114 million through five separate special purpose vehicles, which are investment pools for specific opportunities. Unlike many sizable tech companies, OpenAI says it doesn’t use the company’s money to invest in startups.  The ChatGPT maker says its OpenAI Startup Fund is raised from outside investors. This includes participation from significant OpenAI backer Microsoft, as well

Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a diffusion-based large language model, or a “DLM” for short. The generative AI models receiving the most attention now can be broadly divided into two types: large language models (LLMs) and diffusion models. LLMs, built on the transformer architecture, are used for text generation. Meanwhile, diffusion