AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
4min snip
#1296 Aravind Srinivas | Perplexity CEO Wants To Destroy Google
The Pomp Podcast
Constraints to Achieving Widespread Use of Large Language Models and AI
Hardware constraints, sophistication and accuracy of models, and transitioning to new consumer interfaces are key challenges in the implementation of large language models (LLMs) and AI technology. While hardware limitations affect the performance of models, companies like Nvidia are making significant progress in this area. Additionally, the shift towards AI replacing human tasks in the workplace may not necessarily require LLMs to run on consumer devices, with cloud-based solutions being adequate for many digital tasks. GPT-4 is already able to perform at 60% of the median human worker's capabilities, showcasing the potential impact of AI in the workforce. On the consumer hardware side, Apple's custom silicon chips give them a competitive advantage in running LLMs on their devices, enabling new computer experiences and interactions. The evolution towards on-device LLMs could revolutionize personal computing, leading to new ways of interacting with technology and incorporating AI into daily activities, such as using AI assistants for decision-making and personalized recommendations.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode