Reference Summary: Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. In this AI Research Roundup episode, Alex discusses the paper: 'Skywork-SWE: Unveiling Data

Frontiersmith Scaling Open Ended Coding For Llms -

Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. In this AI Research Roundup episode, Alex discusses the paper: 'Skywork-SWE: Unveiling Data

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  • Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators.
  • In this AI Research Roundup episode, Alex discusses the paper: 'Skywork-SWE: Unveiling Data

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State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
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FrontierSmith: Scaling Open-Ended Coding for LLMs

FrontierSmith: Scaling Open-Ended Coding for LLMs

In this AI Research Roundup episode, Alex discusses the paper: '

OpenForesight: Scaling LLM Reasoning for Forecasting

OpenForesight: Scaling LLM Reasoning for Forecasting

In this AI Research Roundup episode, Alex discusses the paper: '

LLM#03 Inference Time Scaling for improving LLMs accuracy | #ai #session

LLM#03 Inference Time Scaling for improving LLMs accuracy | #ai #session

Read more details and related context about LLM#03 Inference Time Scaling for improving LLMs accuracy | #ai #session.

Skywork-SWE: Scaling Data for Coder LLMs

Skywork-SWE: Scaling Data for Coder LLMs

In this AI Research Roundup episode, Alex discusses the paper: 'Skywork-SWE: Unveiling Data

Limits of LLMs

Limits of LLMs

Read more details and related context about Limits of LLMs.

State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490

State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490

Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training ...