ProCap Financial announced that it’s again outperformed the big-name expensive frontier models on personal finance questions. This demonstrates that smaller specialized models can outperform the big LLMs (large language models) in specific areas of expertise. I’ve started writing and speaking about this relating to Intel, and believe we’re going to see a shift to SLMs (small language models) in the next few years. Instead of giving OpenAI and Anthropic our information, more people and more companies will run specific SLMs on their own hardware significantly reducing their token cost and improving their data and personal security. The ProCap press release talks about the value of owning their own intelligence and I agree with this approach.
I typically find the ProCap press releases interesting because they tend to contain a few useful additional pieces of information. This one is no exception. The new Silvia model came out in July and these are the results so far:
– Response time down by 48%.
– Cost per question down 59%. (Remember that Silvia sends questions to different AIs for research depending on the complexity of the question.)
– Negative user responses to questions down more than 50%.
The previous press release indicated that Silvia users have grown by 20% since last month and paid conversions are up to 25%. The stock will be added to the Russell 2000 and 3000 indexes starting at the market open this morning and the stock ticker will change to $SVIA starting tomorrow.
The stock is up 133% since DKI recommended it last month.
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