Cursor Chat gives me code in Ask mode. I open Gemini or ChatGPT to help explain the code. But preserving context is difficult only.
LLMS
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs https://
arxiv.org/abs/2601.03335 This work is a collaboration between MIT + Sakana AI By @AkarshKumar0101 @RyanBoldi @Prafull7 @Phillip_Isola @Risi1979 @Yujin_Tang @hardmaru -
Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR
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Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR https://
buff.ly/4tI6ozr #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Adopting LLMs in Workflows: Practical Integration Beyond Theory
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In the current LLM era, there isn't much new to learn about AI. We need to understand how to adopt it in our workflows.
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Gemini 3 Flash now default on Google Stitch
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Gemini 3 Flash is now available on the Google Stitch design agent as a default model. https://t.co/k1DhIIc0mV pic.twitter.com/KI9P6lxfWh
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 janvier 2026Gemini 3 Flash is now available on the Google Stitch design agent as a default model.
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GLM-4.7 Live on Cerebras: Frontier Coding Intelligence
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GLM-4.7 from @Zai_org is live on Cerebras!
— Cerebras (@cerebras) 8 janvier 2026
– Frontier intelligence for coding, tool-driven agents, and multi-turn reasoning
– Record coding speed: ~1,000 tokens per second (up to 1,700 TPS for other uses)
– Strong price-performance: ~10x higher than Sonnet 4.5 pic.twitter.com/HGTcVvhZVQGLM-4.7 from @Zai_org is live on Cerebras! – Frontier intelligence for coding, tool-driven agents, and multi-turn reasoning
– Record coding speed: ~1,000 tokens per second (up to 1,700 TPS for other uses)
– Strong price-performance: ~10x higher than Sonnet 4.5 -
Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
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Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
— hardmaru (@hardmaru) 8 janvier 2026
Blog Post: https://t.co/DwllY5YNOD
Full Paper (Website): https://t.co/PKfXJTWfRN
Full Paper (arxiv): https://t.co/V0elSPvSaQ
More information:https://t.co/GD1iLlvnUCDigital Red Queen: Adversarial Program Evolution in Core War with LLMs Blog Post: https://
sakana.ai/drq/
Full Paper (Website): https://
pub.sakana.ai/drq/
Full Paper (arxiv): https://
arxiv.org/abs/2601.03335 More information: -
Dynamic Context Discovery in Large Language Models
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Dynamic context discovery · Cursor https://
buff.ly/xpdnlPc
#AI #MachineLearning #DeepLearning #LLMs #DataScience