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Topic: "protein-structure-prediction"
not much happened today
llama mistral openai decagon sierra togethercompute vertical-saas funding protein-structure-prediction lora self-supervised-learning model-optimization neural-architecture-search model-evaluation ethics transformers multi-agent-systems long-context mira-murati demis-hassabis clement-delangue john-o-whitaker yann-lecun francois-chollet ajeya-cotra rohan-paul adcock-brett
Vertical SaaS agents are gaining rapid consensus as the future of AI applications, highlighted by Decagon's $100m funding and Sierra's $4b round. OpenAI alumni are actively raising venture capital and forming new startups, intensifying competition in the AI market. Demis Hassabis celebrated the Nobel Prize recognition for AlphaFold2, a breakthrough in protein structure prediction. Advances in AI models include techniques like LoRA projectors and annealing on high-quality data, while discussions emphasize the need for high-bandwidth sensory inputs beyond language for common sense learning. New methods like LoLCATs aim to optimize transformer models such as Llama and Mistral for efficiency. Ethical concerns about AI agents performing harmful tasks remain under investigation. The AI community continues to explore model evaluation challenges and optimization frameworks like LPZero for neural architecture search.
State of AI 2024
llama-3-2 bitnet cerebras daily pipecat meta-ai-fair anthropic multimodality synthetic-data protein-structure-prediction neural-networks statistical-mechanics conversational-ai voice-ai hackathon ipo model-release geoffrey-hinton john-hopfield demis-hassabis john-jumper david-baker
Nathan Benaich's State of AI Report in its 7th year provides a comprehensive overview of AI research and industry trends, including highlights like BitNet and the synthetic data debate. Cerebras is preparing for an IPO, reflecting growth in AI compute. A hackathon hosted by Daily and the Pipecat community focuses on conversational voice AI and multimodal experiences with $20,000 in prizes. Nobel Prizes in Physics and Chemistry were awarded for AI research: Geoffrey Hinton and John Hopfield for neural networks and statistical mechanics, and Demis Hassabis, John Jumper, and David Baker for AlphaFold and protein structure prediction. Meta released Llama 3.2 with multimodal capabilities, accompanied by educational resources and performance updates. "This recognizes the impact of deep neural networks on society" and "tremendous impact of AlphaFold and ML-powered protein structure prediction" were noted by experts.