DeepSeek R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost

Q: How long will it take to read this news story?

The story "DeepSeek R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost" has 65 words across 87 sentences, which will take approximately 1 minutes for the average person to read.

Q: Which news outlet covered this story?

The story "DeepSeek R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost" was covered 1 days ago by VentureBeat, a news publisher based in United States.

Q: How trustworthy is 'VentureBeat' news outlet?

VentureBeat is a fully independent (privately-owned) news outlet established in 2005 that covers mostly startups and technology news. The outlet is headquartered in United States and publishes an average of 1 news stories per day. It's most recent story was published 14 hours ago.

Q: What do people currently think of this news story?

The sentiment for this story is currently Neutral, indicating that people are not responding positively or negatively to this news.

Q: How do I report this news for inaccuracy?

You can report an inaccurate news publication to us via our contact page. Please also include the news #ID number and the URL to this story.<ul><li>News ID: #25440783</li><li>URL: https://chronographically.beamstart.com/news/deepseek-r1s-bold-bet-on-17378653858020</li></ul>

VentureBeat 1d ago

DeepSeek R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost - VentureBeat

Quick Summary:

DeepSeek R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance.

This story focuses on exactly how DeepSeek managed this feat, and what it means for the vast number of users of AI models.

For enterprises developing AI-driven solutions, DeepSeek’s breakthrough challenges assumptions of OpenAI's dominance -- and offers a blueprint for cost-efficient innovation.