We discuss the fast-changing AI model landscape and how users are increasingly choosing models based on cost, convenience, and specific tasks.  We compare major closed and open-source models, outline which tools work best for coding, writing, real-time use, and image generation, and discuss how memory and context affect enterprise and power-user workflows. ------ 🔒 Check Out Our Sponsor: LEDGER AGENT STACK 🔒 https://developers.ledger.com/docs/ai-tools/overview/?utm_source=Audio&utm_medium=Podcasts&utm_campaign=Limitless ------ 🌌 LIMITLESS HQ ⬇️ NEWSLETTER:    https://limitlessft.substack.com/ FOLLOW ON X:   https://x.com/LimitlessFT SPOTIFY:             https://open.spotify.com/show/5oV29YUL8AzzwXkxEXlRMQ APPLE:                 https://podcasts.apple.com/us/podcast/limitless-podcast/id1813210890 RSS FEED:           https://limitlessft.substack.com/ ------ TIMESTAMPS 0:00 Frontier Model Overload 1:09 Open Source vs Closed 3:20 Ranking Model Intelligence 5:41 Pricing Changes Everything 9:43 Cheap Models and Compute 11:14 Google and Grok Use Cases 15:30 Best Subscriptions For Most 17:41 Picking Models by Task 19:43 Agents and Knowledge Work 22:27 What Comes Next 24:50 Apple’s AI Wildcard 26:03 Final Model Recommendations ------ RESOURCES Josh: https://x.com/JoshKale Ejaaz: https://x.com/cryptopunk7213 ------ Not financial or tax advice. See our investment disclosures here: https://www.bankless.com/disclosures⁠ Josh works with Anthropic as a contractor. All views expressed are his own and do not represent Anthropic, its leadership, or its affiliates. Nothing in this episode is investment advice.