Tag: model development
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Wired: How Chinese AI Startup DeepSeek Made a Model that Rivals OpenAI
Source URL: https://www.wired.com/story/deepseek-china-model-ai/ Source: Wired Title: How Chinese AI Startup DeepSeek Made a Model that Rivals OpenAI Feedly Summary: When Chinese quant hedge fund founder Liang Wenfeng went into AI research, he took 10,000 Nvidia chips and assembled a team of young, ambitious talent. Two years later, DeepSeek exploded on the scene. AI Summary and…
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OpenAI : Trading inference-time compute for adversarial robustness
Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…
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Simon Willison’s Weblog: r1.py script to run R1 with a min-thinking-tokens parameter
Source URL: https://simonwillison.net/2025/Jan/22/r1py/ Source: Simon Willison’s Weblog Title: r1.py script to run R1 with a min-thinking-tokens parameter Feedly Summary: r1.py script to run R1 with a min-thinking-tokens parameter Fantastically creative hack by Theia Vogel. The DeepSeek R1 family of models output their chain of thought inside a …</think> block. Theia found that you can intercept…
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Slashdot: AI Boom Gives Rise To ‘GPU-as-a-Service’
Source URL: https://idle.slashdot.org/story/25/01/21/0021215/ai-boom-gives-rise-to-gpu-as-a-service?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Boom Gives Rise To ‘GPU-as-a-Service’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the rising demand for GPUs driven by advancements in AI and the emergence of GPU-as-a-Service (GPUaaS) as a cost-effective solution for businesses unable to invest in their own hardware. It highlights the…
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Hacker News: DeepSeek-R1
Source URL: https://github.com/deepseek-ai/DeepSeek-R1 Source: Hacker News Title: DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents advancements in AI reasoning models, specifically DeepSeek-R1-Zero and DeepSeek-R1, emphasizing the unique approach of training solely through large-scale reinforcement learning (RL) without initial supervised fine-tuning. These models demonstrate significant reasoning capabilities and highlight breakthroughs in…
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Simon Willison’s Weblog: Quoting gwern
Source URL: https://simonwillison.net/2025/Jan/16/gwern/#atom-everything Source: Simon Willison’s Weblog Title: Quoting gwern Feedly Summary: […] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session…
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Hacker News: Transformer^2: Self-Adaptive LLMs
Source URL: https://sakana.ai/transformer-squared/ Source: Hacker News Title: Transformer^2: Self-Adaptive LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative Transformer² machine learning system, which introduces self-adaptive capabilities to LLMs, allowing them to adjust dynamically to various tasks. This advancement promises significant improvements in AI efficiency and adaptability, paving the way…
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Simon Willison’s Weblog: Codestral 25.01
Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…