News

DeepSeek's impact on big tech AI spending 'bubble' has barely begun. Story by Trevor Laurence Jockims • 5h. OpenAI is reportedly raising more money at an even higher valuation of $300 billion, ...
Explore the impact of China's DeepSeek AI technology. More for You. FBI has ID'd 25-year-old suspect in explosion at Palm Springs fertility clinic. The Cybertruck's First Real Test ...
Cardano DeFi growth is accelerating with rising TVL, improved scalability, and strong community backing, setting the stage for a potential ADA bull run.
Impact on pre-trained models: If new players like DeepSeek can compete with frontier AI labs at a fraction of the reported costs, proprietary pre-trained models may become less defensible as a moat.
DeepSeek's latest R1 model update brings enhanced performance at a low cost. ... cheap AI tech. If you missed it, you're not alone. ... Impact Link. Save Saved Read in app ...
Meta’s internal tests on its Llama 2 AI model using the novel self-rewarding technique saw it outperform rivals such as Anthropic’s Claude 2, Google’s Gemini Pro, and OpenAI’s GPT-4 models.
Sharplink Gaming files to sell $5B in stock to purchase Ethereum, expanding its crypto treasury and betting on ETH as a ...
On January 27, 2025, the release of the new open-source large language model (LLM), DeepSeek, caused a global sensation. Humans have been working on developing artificial intelligence (AI) capable ...
Many Tom's Guide readers wondered how Gemini 2.5 would perform against DeepSeek with the same prompts used in the final round of AI Madness. I just had to know, too. 1.
Now it’s DeepSeek, the open-source reasoning model developed by a Chinese AI startup of the same name, that is disrupting the resources required to build and train AI models. The January release ...
DeepSeek’s meteoric rise put the spotlight on artificial intelligence from China. Here are the other buzzy Chinese AI companies to watch. But beyond that viral moment, spun up by AI’s own ...
OpenAI’s o3 model and DeepSeek’s main reasoning model use more than 33 watt-hours (Wh) for a long answer, which is more than 70 times the energy required by OpenAI’s smaller GPT-4.1 nano.