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Recent advancements in AI include the introduction of ESM3, a frontier language model that simulates 500 million years of evolution and enables the creation of novel proteins. Additionally, a company called Etched claims to have developed the fastest AI chip, capable of processing over half a million tokens per second, significantly outpacing current offerings by Nvidia. ESM3 models can understand and generate protein sequences, structures, and functions, paving the way for breakthroughs in biotechnology, drug discovery, and waste degradation. This technology is positioned as revolutionary for programmability in biology and has attracted significant industry interest.
ESM3 simulates evolution and creates proteins using advanced AI techniques.
ESM3 enables engineering biology, paralleling software and microchip development.
Fluorescent proteins are created efficiently, highlighting significant AI capabilities.
The leap in AI-driven biology with ESM3 signifies not only a technological evolution but also necessitates robust governance frameworks. As AI becomes capable of generating life-augmenting proteins and potentially addressing global challenges like plastic waste, ethical considerations must be prioritized. This includes ensuring transparency in AI methodologies and the implications of protein engineering. The possibility of unintended consequences or misuse raises vital questions about regulatory standards that need to accompany such advancements.
The emergence of faster AI chips like those from Etched changes market dynamics by providing alternatives to Nvidia's dominance. This can lead to a more competitive landscape, impacting pricing and accessibility of AI technologies. As companies adopt these new chips, we may see rapid advancements in AI applications across sectors, from healthcare to environmental sustainability. The scalability offered by ESM3 will likely attract significant investment, facilitating breakthroughs and enhancing productivity in protein design and therapeutic innovations.
ESM3 simulates evolution and generates novel protein sequences, enhancing the programmability of biology.
ESM3's generation of modified GFP showcases the potential for AI in creating innovative proteins.
The fastest AI chip, developed by Etched, claims unprecedented processing speeds for language models.
Etched's new chip claims to run AI models significantly faster than current Nvidia offerings.
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The mention highlights its influence in advancing understanding of protein structures.
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Cognitive Revolution "How AI Changes Everything" 12month
Broad Institute 16month
ML for protein engineering seminar series 16month
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