The Ledger
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Laskin: New frontier labs can succeed without cloud provider ownership
“Our thought was that this was the time where you can actually start a you know, a generational frontier lab that does not need to be coupled to a, you know, to a big cloud provider because if you do it right, you'll actually be able to generate you know, suffi…”
Laskin: Enterprise AI coding deployment is within dozens of months, not decades
“I think coding is this era as well. This one I think will take longer than people thought as well, because again, enterprise is organizational problems. There's much different than The benchmarks that we have today, but I think it will be one of the faster one…”
Laskin: RL requires far fewer FLOPs than pre-training for frontier models
“We're in this brief period in history right now where the RL flops are still manageable. Like you can really have a best in class product if you're focused. And yes, you'll need to put, you know, you still need a decent amount of GPUs, but from a flops perspec…”
Laskin: AI coding startups face existential risk without in-house frontier models
“And then from the startup side, I think it actually puts companies that Are in these kind of critical path categories like search and coding in a pretty existential place if they can't build their own frontier models. Not all frontier labs will be able to vert…”
Laskin: Code reasoning models will generalize across other enterprise work
“The reason code is special is if you believe that the way a language model will interact with almost any piece of software is through function calls and therefore code, then if you build very capable reasoners coding reasoners that, you know, are sort of purpo…”
Laskin: Narrow-domain superintelligence has already been achieved by AlphaGo
“To some extent super intelligence in that sense has already been achieved. So right, AlphaGo was a super intelligent system, and there were other systems during that time that were built that were super intelligent in narrow domains.”
Laskin: Frontier labs cannot easily buy end-user distribution via acquisitions
“I don't think it's guaranteed that a big lab can, you know, buy their way to the end user because the fundamental problems of your, you know, research team being far away from your product team will still be true. And the company having, you know, a hundred di…”
Laskin: Building ASI requires co-designing product and research together
“As long as you pick a category that I would say is kind of big enough to be ASI complete I think, and this is kind of our approach at Reflection, is it makes a lot more sense to be focused and co-design those two things together, the product of the research.”
Laskin: Single-file coding questions do not require deep research agents
“If you're looking at a file, and there's like a specific thing in that file, and you're just trying to get a quick answer to it, you don't really need the hammer of like a deep research like experience. You don't need to wait, you know, like tens of seconds or…”
Laskin: Team-Wide AI Memory Governance Will Mirror Pull Request Workflows
“Where if you want to change the agents, the team wide memory, then it probably is going to look something like a pull request where the person who really understands that system Approves or, you know, edits it or something like this. I don't think it's going t…”