why aren't all 6 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Assertion Supported
Mlejnsky: LangChain gets 20 million monthly downloads and remains popular
“Well, I have a, I have, I don't know if this is an unpopular opinion, but, like, people keep telling me, ah, Langchain isn't popular, but if you look at its stats, like, it has twenty million downloads per month. How can you have not popular framework when it …”
Prediction Held up
Colvin: Pydantic AI will be first framework implementing OpenTelemetry GenAI attributes
“I suspect Pedantic AI will be the first agent framework that implements those semantic attributes properly, because again, we control Pedantic AI, and we can say this is important for observability, whereas most of the other agent frameworks are not maintained…”
Assertion Supported
Fanelli: LangChain and LlamaIndex usage grows on PyPI while CrewAI stays flat
“So if you look at, you know, like chain still growing. These are the last, last six months. Lama index still growing. What I've basically seen is like things that one, obviously these things have a commercial product. So there's like people buying this and sti…”
Assertion Supported
Huber: Chroma is the most used project across LangChain and LlamaIndex
“For many years running, Chrome has been the number one used project broadly, but also within communities like LinkChain and Llama Index.”
Assertion Supported
Chase: LangChain and other frameworks lack off-the-shelf Reflexion implementations
“I don't think we have like an off the shelf kind of like implementation of reflection and kind of like the general sense. I think the concepts like absolutely we see used in different kind of like specific cognitive architectures, but I don't think we have one…”
Assertion Supported
Harrison Chase says TypeScript yields better LLM tool-calling performance than JSON
“I saw some paper that used TypeScript notation instead of JSON notation for tool calling and it got a lot better performance.”