Freedom Dumlao
1.7K posts

Freedom Dumlao
@APIguy
CTO + CAIO. Ruby Central Board Member. Maker. Builder. Opinions my own.






The world is going to be desperately short on compute for the rest of time. No matter how many chips we make, demand will outrun supply. Scaling models in parameter count, context length, and thinking tokens continues to yield increasingly better models with consistently slower, more costly responses. This points to a future with giant frontier models doing some things, but the vast majority of tokens will run through thousands of small, fine-tuned models. Some may even operating with their own domain-specific language. There’s no technical limitation preventing a fine-tuned Gemma 12B model from outperforming Opus 4.8 at a specific task, like linting. But it would run at less than 1% of the cost. Everyone keeps telling young founders, "AI will do everything, there's no purpose in life." Wrong. Domain-specific models and domain-specific languages will be a goldmine in the next few years.



The leading LLMs are so guardrailed. So, how do you deploy AI into sensitive areas like healthcare, biotech, and financial services? Bypass the harness and go straight to the model via Bedrock, says Freedom Dumlao (@APIguy). I’ve made the transition myself already...mostly so I can easily log to S3 and keep my completions from Sam/Dario - but this is an added benefit!



Just posted Round 2 with Freedom Dumlao (@APIguy), CTO & CAIO at @Vestmark, and somehow the conversation got even better than the first one! A few weeks ago, Freedom told us how all 400 Vestmark employees have access to Claude Code. In this episode, learn about the freshly installed rack of Mac Minis now running AI agents at Vestmark, why running inference through AWS Bedrock instead of the Claude.ai API is an unlock for enterprise, and why small fine-tuned models like Gemma 12B are about to eat a huge chunk of the enterprise AI workload. Thank you Freedom for returning to the Link Ventures podcast studio!

Google just dropped a new LLM! You can run it locally on just 8GB RAM. Let's fine-tune this on our own data (100% locally):





If you wait for AI to be "ready," then you're already behind. Someone who saw it coming is already way ahead of you. The edge goes to whoever prepares now and is ready the moment the door opens. One of my favorite moments from this AMAZING episode with Freedom Dumlao (@APIguy) from @Vestmark 👇

It was an absolute pleasure to sit down with Freedom Dumlao (@APIguy), CTO & CAIO at @Vestmark where he and the team are shipping AI inside a highly regulated, $2T+ wealth tech platform. In this episode, learn about how all 400 employees at Vestmark use Claude Code, how they've built agentic systems like Pulse that prompt the advisor instead of waiting to be prompted, and how Fabric allows anyone in the company to spin up and share skills in 3 minutes. Most banks are still rolling out Copilot to "a handful of test users this summer." Freedom is at least 18 months ahead of that and gaining steam. Thank you Freedom for joining me in the @Link_Ventures podcast studio!





