The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 10 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
Moura: OpenAI's o1-mini struggles with agents by avoiding external tools
“Honestly, O one mini in my experience for agentic behaviors, sometimes falls short. Just because it already has kind of like chain of thought embedded on it. It tries to basically like Figure out everything itself without using any tools and kind of like outsm…”
Moura: 7B and 14B parameter models loop excessively as AI agents
“Smaller models, like smaller, or seven B, 14 B, they don't work as well. You can get them to behave as agents, but they usually take even longer because they go in so many blind alleys and keep like retrying things. So you definitely wants to go, like my go-to…”
Moura: Agent behavior is tuned in YAML, while precision is enforced in Python
“A lot of like the optimization, like what happens, especially on the fuzziness parts, like on the actual agents is on these agents and tasks. I got a YAML files. It's where I can, like, you're going to be like spending a lot of time, like to make sure that you…”
Moura: Complex agent use cases require deterministic hooks for consistency
“As the use case has gotten more complex, you start to need more precision in more like a repeatability and consistency on their use cases. So usually people start with before and after hooks.”
Moura: Role framing in system prompts significantly changes LLM agent output
“Because these agents, they're kind of like impersonating roles. You do get different behaviors depending on, you do get different behaviors depending on how you give them like a different role. So you can actually replicate this on ChatGPT. Like if you ask Cha…”
Moura: CrewAI scaled its operations using its own AI agents
“From the get go, being able to use AI agents to scale an AI agent company was kind of like an interesting kind of like inception like experience.”
Moura: CrewAI agents do not require a 1:1 agent-to-task mapping
“With AI agents and crew AI specifically, you don't need to have one agent to one task. It's not necessarily one to one.”
Moura: Over 100,000 people enrolled in CrewAI's DeepLearning.AI agent courses
“We have over a 100,000 people that enrolled on those courses.”
Moura: CrewAI flow plot generates visual architecture diagrams for agent workflows
“You can do now crew AI flow plot. And that will actually plot you a visual showing exactly what is happening with your flow. So you can see what are the crews that you have in there. You can see what are the inputs, like what are the different kind of like fun…”