Tag: mini
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Slashdot: Hugging Face Launches $299 Robot That Could Disrupt Entire Robotics Industry
Source URL: https://hardware.slashdot.org/story/25/07/09/2051245/hugging-face-launches-299-robot-that-could-disrupt-entire-robotics-industry Source: Slashdot Title: Hugging Face Launches $299 Robot That Could Disrupt Entire Robotics Industry Feedly Summary: AI Summary and Description: Yes Summary: Hugging Face has launched the Reachy Mini, a $299 AI-powered robot aimed at democratizing robotics for developers. This move highlights Hugging Face’s commitment to making robotics accessible and affordable, allowing…
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The Register: Anubis guards gates against hordes of LLM bot crawlers
Source URL: https://www.theregister.com/2025/07/09/anubis_fighting_the_llm_hordes/ Source: The Register Title: Anubis guards gates against hordes of LLM bot crawlers Feedly Summary: Using proof of work to block the web-crawlers of ‘AI’ companies Anubis is a sort of CAPTCHA test, but flipped: instead of checking visitors are human, it aims to make web crawling prohibitively expensive for companies trying…
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Cloud Blog: Zero-shot forecasting in BigQuery with the TimesFM foundation model
Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-timesfm-models-now-in-preview/ Source: Cloud Blog Title: Zero-shot forecasting in BigQuery with the TimesFM foundation model Feedly Summary: Accurate time-series forecasting is essential for many business scenarios such as planning, supply chain management, and resource allocation. BigQuery now embeds TimesFM, a state-of-the-art pre-trained model from Google Research, enabling powerful forecasting via the simple AI.FORECAST function.…
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CSA: Understanding Security Risks in AI-Generated Code
Source URL: https://cloudsecurityalliance.org/articles/understanding-security-risks-in-ai-generated-code Source: CSA Title: Understanding Security Risks in AI-Generated Code Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving role of AI coding assistants and their impact on software security. It highlights the significant risks posed by AI-generated code, including the repetition of insecure patterns, optimization shortcuts, omission of…