Tag: rag
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Cloud Blog: Announcing the 2025 Google for Startups Accelerator: AI First UK
Source URL: https://cloud.google.com/blog/topics/startups/announcing-the-2025-google-for-startups-accelerator-ai-first-uk/ Source: Cloud Blog Title: Announcing the 2025 Google for Startups Accelerator: AI First UK Feedly Summary: According to the UK Department for Science, Innovation & Technology, the UK’s AI sector is rapidly expanding, with over 3,000 AI companies generating more than £10 billion in revenues, employing over 60,000 people, and contributing £5.8…
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CSA: How Can We Bridge the Cyber Talent Gap with Diversity?
Source URL: https://www.zscaler.com/cxorevolutionaries/insights/solving-cyber-workforce-puzzle Source: CSA Title: How Can We Bridge the Cyber Talent Gap with Diversity? Feedly Summary: AI Summary and Description: Yes Summary: The text highlights the importance of nurturing cyber talent, particularly among women and underrepresented groups, to address the significant cyber workforce gap. It emphasizes collaboration between various sectors and the inclusion…
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Hacker News: Arm releases Chiplet System Architecture spec beta version
Source URL: https://newsroom.arm.com/blog/arm-chiplet-system-architecture-accelerating-evolution-of-silicon Source: Hacker News Title: Arm releases Chiplet System Architecture spec beta version Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the significance of Arm’s newly released Chiplet System Architecture (CSA) which aims to accelerate innovation in custom silicon design for diverse AI workloads across markets. This milestone is…
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The Register: Google DeepMind CEO says 2025’s the year we start popping pills AI helped invent
Source URL: https://www.theregister.com/2025/01/22/google_deepmind_ai_drugs/ Source: The Register Title: Google DeepMind CEO says 2025’s the year we start popping pills AI helped invent Feedly Summary: Nobel Prize winner Demis Hassabis thinks human trials will happen soon Clinical trials of the first drugs designed with the help of artificial intelligence could commence this year, Google DeepMind CEO Demis…
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Simon Willison’s Weblog: Run DeepSeek R1 or V3 with MLX Distributed
Source URL: https://simonwillison.net/2025/Jan/22/mlx-distributed/ Source: Simon Willison’s Weblog Title: Run DeepSeek R1 or V3 with MLX Distributed Feedly Summary: Run DeepSeek R1 or V3 with MLX Distributed Handy detailed instructions from Awni Hannun on running the enormous DeepSeek R1 or v3 models on a cluster of Macs using the distributed communication feature of Apple’s MLX library.…
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Slashdot: Cutting-Edge Chinese ‘Reasoning’ Model Rivals OpenAI O1
Source URL: https://slashdot.org/story/25/01/21/2138247/cutting-edge-chinese-reasoning-model-rivals-openai-o1?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Cutting-Edge Chinese ‘Reasoning’ Model Rivals OpenAI O1 Feedly Summary: AI Summary and Description: Yes Summary: The release of DeepSeek’s R1 model family marks a significant advancement in the availability of high-performing AI models, particularly in the realms of math and coding tasks. With an open MIT license, these models…
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Hacker News: LLMs Demonstrate Behavioral Self-Awareness [pdf]
Source URL: https://martins1612.github.io/selfaware_paper_betley.pdf Source: Hacker News Title: LLMs Demonstrate Behavioral Self-Awareness [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses a study focused on the concept of behavioral self-awareness in Large Language Models (LLMs). The research demonstrates that LLMs can be finetuned to recognize and articulate their learned behaviors, including…
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Simon Willison’s Weblog: AI mistakes are very different from human mistakes
Source URL: https://simonwillison.net/2025/Jan/21/ai-mistakes-are-very-different-from-human-mistakes/#atom-everything Source: Simon Willison’s Weblog Title: AI mistakes are very different from human mistakes Feedly Summary: AI mistakes are very different from human mistakes An entertaining and informative read by Bruce Schneier and Nathan E. Sanders. If you want to use an AI model to help with a business problem, it’s not enough…