CES 2015 impressive reveals.
Someone made a roomba-looking vacuum that has an arm to move dirty socks. Follow the link for that video and nine others. ~ learn more
Someone made a roomba-looking vacuum that has an arm to move dirty socks. Follow the link for that video and nine others. ~ learn more
Simon Willison has been keeping good notes! “Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments.” ~ learn more
“The year is 2060. You ask your AI system to recap the loudest 23 times someone laughed at your joke. Uncle Julius at the dinner table about the chicken, July 1 2031; Brit Chavez when you fell off the porch, […]
This is probably a pretty relevant voice to listen to on the topic of AI. “The age of pre-training will end due to that the data is not growing? What comes next?” ~ learn more
“Technology has had a transformational year, with significant advancements in AI, robotics, space, biology, healthcare, carbon capture, and quantum computing. So what does 2025 have in store for us? Enjoy reading these thoughts from some of tech’s best, would love […]
“To start, it’s been quite a shock. every conversation i had yesterday revolved around it. it affected my sleep. probably some anomalies in oura data for certain SF neighborhoods last night.” ~ learn more
“It’s different now. When I manage spreadsheets, I don’t want to manipulate formulas anymore. Instead, I want to instruct the computer as I would explain to a colleague : “run the correlations on these variables to see if anything meaningful […]
“2010s; build software that solves a problem and sell it to other businesses. 2024; build software that buys businesses. Whether you start with models and use acquisitions for data, compete with PE firms, or create a tech-enabled rollup – the […]
Hard not to be awed reading this. Teaser: “AGI by 2027 is strikingly plausible. GPT-2 to GPT-4 took us from ~preschooler to ~smart high-schooler abilities in 4 years. Tracing trendlines in compute (~0.5 orders of magnitude or OOMs/year), algorithmic efficiencies […]
“Truffle is driven by: > A Mixture of Models (MoM) acting like a CPU; > An application stack that looks like OpenAI Gym Environments; > A 64GB Orin in a glowing case … Local AI also means Infinite Inference Time […]