Richard Nieva

Richard Nieva is a senior writer at Forbes who covers artificial intelligence and its impact on business and society. He has been with the publication since 2019 and has written about topics such as Google DeepMind, Nvidia, OpenAI, Eric Schmidt's military drone project, YouTube's premium services, and more.

84%

The Daily's Verdict

This author has a mixed reputation for journalistic standards. It is advisable to fact-check, scrutinize for bias, and check for conflicts of interest before relying on the author's reporting.

Bias

100%

Examples:

  • Nvidia-nventures is a powerful investment arm that can supercharge AI startups
  • The article does not criticize or praise Nvidia's own products or services, but focuses on its portfolio companies and deals
  • The article does not mention any ethical or social implications of Nvidia's investments in military drone projects
  • The article uses positive language to describe Google DeepMind and its Gemini 1.5 model, while downplaying the competition from other AI providers

Conflicts of Interest

50%

Examples:

  • The article does not disclose any potential conflicts of interest between Nvidia and its portfolio companies, such as shared data, IP rights, or preferential treatment
  • The article does not examine how Nvidia's investments may affect the market competition or innovation in the AI industry
  • The article mentions that Nvidia has done over two dozen AI deals and has access to research teams or emailing with the company's famous CEO

Contradictions

0%

Examples:

Deceptions

100%

Examples:

Recent Articles

Nvidia's Investment in AI Startups: A Boost to Their Success or a Bias?

Nvidia's Investment in AI Startups: A Boost to Their Success or a Bias?

Broke On: Friday, 16 February 2024 Nvidia, a trillion-dollar chipmaker, has been investing heavily in artificial intelligence (AI) startups through its Nventures arm and corporate development team. These investments have resulted in access to the company's researchers and engineers who know how to coax the most power out of GPUs used for large-scale AI development. The X factor for many of these startups is this access, which has been instrumental in their success.