Self-driving promises have been propping up Tesla stock’s valuation for years. The robotaxi revolution may have finally ...

Virginia-based Westbourne Investments, for instance, increased its position in two beaten-down Big Pharma stocks: Bristol-Myers Squibb (BMY) and Pfizer (PFE), which are down 42% and 60%, respectively, ...

Texas Instruments will invest more than $60 billion to expand semiconductor manufacturing in the United States, the company announced on Wednesday, as President Donald Trump continues to pressure tech ...

Apple tested LLMs like ChatGPT GPT-4, Claude 3.7 Sonnet, and DeepSeek V3. For LRMs, it tested ChatGPT o1, ChatGPT o3-mini, ...

In the research paper, Apple uses "large reasoning models" when referring to what we would typically just call reasoning ...

Anthropic has slammed Apple’s AI tests as flawed, arguing AI models did not fail to reason – but were wrongly judged. The ...

Ultimately, the big takeaway for ML researchers is that before proclaiming an AI milestone—or obituary—make sure the test itself isn’t flawed ...

Tech CEOs are promising increasingly outlandish visions of the 2030s, powered by "superintelligence", but the reality is that ...

Alibaba Chairman Joe Tsai has revealed that the company’s engineers worked through the Chinese New Year holiday to accelerate AI development after the ...

Kruti, a Gen 2 multimodal assistant analyses text, voice, image and files and generates responses and in-depth reports. It is ...

Apple's new study challenges the idea that AI models can reason through problems, as they often fail when faced with unfamiliar challenges.

Generative AI models with “reasoning” may not actually excel at solving certain types of problems when compared with conventional LLMs, according to a paper from researchers at Apple.