it depends on the ip around the starting sequence – can be like <80% sequence similarity considered outside of patent scope
RESEARCH
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AI Goals Conflicting with Human Goals: Safety Implications
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This is important to read, and listen. “The core observation is that when AIs goals conflict with humans goals, weird shit starts to happens “This is a legitimately huge problem, obviously scary to people outside the field.”
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NASA New Horizons Uses MATLAB Simulink Pluto Mission
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3 billion miles. One spacecraft. Episode 2 of Engineered Success explores how NASA's New Horizons mission used MATLAB and Simulink to capture Pluto like never before. Listen now: https://
spr.ly/6012thxiK #Engineering #Innovation #MATLAB #NASA -
DeepSeek founder on curiosity driving large model research costs
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i love how liang, deepseek founder, explains how the team are driven by curiosity. by pushing the unknown. when it comes to the eye-watering costs of large model research, he explains: "An exciting endeavor perhaps cannot be measured purely in monetary terms."
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Open-source AI models rise visualizations and growth analysis 2024
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Four new visualisations of the rise of open-source AI models in 2024 added!
— Thomas Wolf (@Thom_Wolf) 9 décembre 2024
– explore how tasks have been growing
– how likes connect models together
– the geography of models creators and followers pic.twitter.com/flDXhorjDPFour new visualisations of the rise of open-source AI models in 2024 added!
– explore how tasks have been growing
– how likes connect models together
– the geography of models creators and followers -
CoDA-NO: Neural Operator for Coupled Multiphysics PDEs
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Excited to present our work on CoDA-NO at #NeurIPS2024 We develop a novel neural operator architecture designed to solve coupled partial differential equations (PDEs) in multiphysics systems. Unlike existing approaches that are limited to fixed sets of variables, CoDA-NO can
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Scaling Speech-Text Pre-Training with Synthetic Interleaved Data
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Scaling Speech-Text Pre-Training with Synthetic Interleaved Data A method for scaling speech language models (SpeechLMs) by using synthetic speech-text interleaved data, bypassing the need for parallel speech-text datasets. Problem: Limited unsupervised speech and parallel
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NVILA: Efficient Frontier Visual Language Models
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NVILA: Efficient Frontier Visual Language Models A family of efficient and accurate visual language models that optimize processing high-resolution images and long videos. Problem: While VLMs have advanced in accuracy, their efficiency remains a significant challenge,
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PaliGemma 2: Versatile Vision-Language Models for Transfer
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PaliGemma 2: A Family of Versatile VLMs for Transfer An upgraded vision-language model family optimized for transfer tasks across various domains and resolutions. Problem: Previous VLMs lacked versatility in model size, resolution, and task-specific transfer capabilities,
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AI Governance Blueprint: Maximizing Benefits While Managing Risks
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Shaping AI's Impact on Billions of Lives A blueprint for leveraging AI to maximize societal benefits while minimizing risks through guided milestones and collaboration. Problem: AI’s transformative potential risks being guided solely by commercial interests, leading to