
At the Ai4 conference, AI experts Geoffrey Hinton, Fei-Fei Li, and Andrew Ng debated the merits and risks of open AI models. Ng warned against a few companies controlling AI, advocating for openness to ensure widespread access. Hinton, however, cautioned about the potential misuse of open-weight models, though he acknowledged their permanence. Li argued for a nuanced approach, balancing openness with necessary controls. All agreed on the need for regulation to steer AI development positively.
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© TechCrunch AIWriter has unveiled Palmyra X6, a new AI model designed to significantly reduce token costs for enterprises. Built on Z.ai’s open source GLM-5.2, this model aims to cut costs by up to 50% for basic tasks, addressing the growing concern over AI deployment expenses. Alongside the model, Writer has enhanced its agentic harness, optimizing it for complex, multi-step tasks. This dual approach not only promises cost efficiency but also challenges the dominance of major AI labs by offering a more economical alternative for businesses.
© TechCrunch AIDatabricks has successfully raised $5 billion in a funding round that values the company at a staggering $190 billion. Initially aiming for a $1 billion raise, the company was overwhelmed by investor interest, leading to a much larger round. This influx of capital will support Databricks' ambitious AI initiatives and ongoing M&A activities, including recent acquisitions like Electric and Panther. The company's impressive growth metrics, such as a $7 billion annualized revenue run rate, underscore its strong market position. With this funding, Databricks is well-positioned to continue its AI-driven expansion while remaining private.