Mark Zuckerberg aggressively lures elite AI researchers, offering salaries exceeding $1 billion, to bolster Meta's quest for AI supremacy through a new superintelligence lab, poaching over a dozen staffers from Mira Murati's AI startup.
The U.S. and China engage in a perpetual pursuit of AI development, with no clear definition of victory or endpoint, fueling a fictional race to marshal resources rather than a real conflict with a meaningful outcome.
Meta appoints former OpenAI researcher Shengjia Zhao as chief scientist of its AI superintelligence unit, Meta Superintelligence Labs, intensifying its pursuit of advanced AI capabilities and attracting top talent with lucrative compensation.
Meta poaches Shengjia Zhao, a ChatGPT researcher from OpenAI, to lead its superintelligence group, accelerating the race to develop AI models that can outperform humans amid fierce competition with rivals.
Meta CEO Mark Zuckerberg aggressively poaches top AI talent from rivals like OpenAI and Google with multimillion-dollar pay packages, spending billions in a race to achieve artificial superintelligence before competitors, raising concerns about alignment with Meta's core business.
A Brazilian prompt engineer achieves a mere 7.5% score on a challenging new AI coding test, underscoring the complexity of real-world coding tasks for artificial intelligence models and prompting the organizer to offer a $1 million prize for an open-source model exceeding 90%.
OpenAI unveils GPT-5, a groundbreaking language model set for August release, boasting reasoning prowess from the o3 model, with CEO Sam Altman teasing its impressive capabilities.
Amid rising U.S.-China tensions and recent layoffs at Amazon Web Services, the tech giant shuts down its AI research lab in Shanghai as part of strategic adjustments and reassessment of operations in China.
Aeneas, a groundbreaking AI model, revolutionizes the interpretation of ancient Latin inscriptions by reasoning across thousands of texts, retrieving contextual parallels to restore fragments, predict dates and locations, and attribute inscriptions to Roman provinces, transforming historians' ability to connect the past.
A UK engineering researcher spearheads an NSF-funded initiative, collaborating with Michigan State University, to develop cutting-edge machine learning models capable of simulating the progression of heart fibrosis, advancing computational modeling of heart disease.