Ankur Goyal discusses OpenAI's o1 reasoning model and the future of agentic frameworks like LangGraph and multi-agent systems.
Opinion
Goyal: Running LLM workloads at scale is impractical outside OpenAI
“It's just not practical outside of OpenAI to run use cases at scale in a lot of cases. Like, you can do it, but it requires quite a bit of work. And
Because OpenAI is so good at making their models so available, I think they get a lot of credit for the science…”
Prediction Not checkable as stated
Goyal: OpenAI o1 will make agentic frameworks obsolete
“And I think O-one is going to do that to agentic frameworks as well. Hey, I think To me, it seems very unlikely that the, you know, you and me sort of like sipping an espresso and thinking about how, like, different personified roles of people should interact …”
Opinion
Goyal: Open-source inference providers are far less reliable than OpenAI
“They are nowhere near as reliable as, I mean, every single time I use any of those products and run a benchmark, I find a bug, text the CEO, and they fix something. It's nowhere near where OpenAI is.”
Insight
Goyal: Publishing Public Benchmarks Is Marketing, Not Product Improvement
“It's just that the value proposition of publishing an eval is completely orthogonal to the value proposition of building evals in service of building a good product. I think the purpose of publishing benchmarks is marketing, and it's good marketing.”
Insight
Goyal: Providing eval criteria and examples is more effective than writing specs
“In many ways coming to the table of product building with representative examples and criteria that articulate what good versus bad is for a use case is just a more precise and usable form of product management than writing a spec.”
Prediction Not checkable as stated
Goyal: Software engineers will drive AI engineering, but ML tools are unusable for them
“The real gap is that software engineers who have a particular way of thinking, a particular set of biases, a particular type of workflow that they run, are going to be the ones who are doing AI engineering, and that the tools that were built for ML are fantast…”