Hashtag Trending · 2026-06-27 · 1h 25m
The hosts discuss using ChatGPT with memory to identify personal blind spots, concluding that multitasking is a myth and linking attention styles (process vs options) and ADHD tendencies to starting many projects without finishing. They compare language fluency to building separate internal "models," relating it to how LLMs work. In a lightning round, they cover rising political backlash to data centers over water, heat, grid strain, and taxes; high electricity costs; and how US corporate structures affect public outcomes. They review responses like more efficient cooling and chips (Nvidia, IBM sub-1nm), IBM's quantum timeline, OpenAI's rapid chip design, chip price lock-ins, and China's innovation under restrictions, including advanced video generation (ByteDance's "CDance 2.5"). They also debate open-source models, orchestration pools like Sakana/Fugu, and concerns about governments restricting access to frontier models such as Anthropic's Fable/Mythos and future GPT releases.
Jim's Vacation Announcement57 / 100
AI Keeps Memory Prices High, IBM's NanoStack Breakthrough, Google AI Agents & Data Center Backlash
IBM's $10B Quantum Bet, Musk's Trillionaire Title, NVIDIA's Water Fix & AI Politics
SpaceX Slips, Claude Joins Slack, and the Growing Revolt Against AI Data Centers