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 13 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
Murray: Standalone agents cannot compete against sandbox and model layers
“I don't want to compete for like 20 dollars a seat. I think that that is just a really difficult business. I think it's very easy to copy the main pieces of it. I mean, again, like I built this fairly quickly, and I think because you are not owning, I guess, t…”
Slack: Big cloud sandboxes lack resumption and network access compared to E2B
“And I look at products from other companies like big cloud providers, and they call it a sandbox. They think that they're competing with E to B, but they like lack the ability to resume or like their sandboxes have no network access or something like that.”
Mlejnsky: Jupyter notebooks fail to scale for LLM code execution
“Jupyter itself isn't the right environment to actually do it because like because all the technical problems that you will run into once you are start doing, once you start doing it on scale. So it's, it gets slower and slower.”
E2B plans to let LLM agents deploy and manage apps directly
“Eventually, like, we want the LLMs to Deploy these services, apps that they are building, and, ah, have them manage it, and developer is more like in the backseat, like, looking at things if everything is working correctly. If your swarm of agents is working c…”
Mlejnsky: E2B can kill and spin up a new sandbox in 150ms
“If that happens with us, we just like kill the sandbox and get, get a new one. He it takes like, I don't know, a 150 milliseconds.”
Mlejnsky: Remote European Engineering Works Once the Product Roadmap Is Clear
“Once once you have like a clear idea of what your product looks like, Then you can find really good expert on certain part of your infrastructure on, on database, and things like that, and just, like, have, like, top talent get top talent for that. The reason …”
Mlejnsky: E2B aims to be the Kubernetes for AI agents
“I think a good analogy here is sort of, like, technologically, it's kind of, you want to be the Kubernetes of the world for the agent, but with much better DX and easier, easier to use.”
Mlejnsky: Hugging Face uses E2B sandboxes during Open-R1 RL training
“The way HuggingFace, who built the OpenROne project is using us is during like the reinforcement learn, code gen reinforcement learning step where the ROne model the OpenROne model has a training step where they give it a Code problem, and the model needs to g…”
Mlejnsky: Agent sandboxes need persistent state, not one-off execution
“The important part is that you don't need to explain the model, and the model doesn't need to care about how to keep the state of the program running. So it was, especially with our earlier models, I think the models are now smarter, but they kept producing, l…”
Mlejnsky: E2B sees 250k JavaScript and ~500k Python SDK monthly downloads
“From number of downloads of our SDK per month, it's like, 250,000 JavaScript, close to around half a million Python.”