The Ledger
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Chen: GPT-4.5 performance jump matches leap from GPT-3.5 to GPT-4
“It signifies an order of magnitude improvement over the last models, kind of commensurate with the jump from 3.5 to four.”
Chen: GPT-4.5 scaling returns remain consistent with OpenAI's prior projections
“You know, we are seeing the same returns, and I do want to stress that GPT-D 4.5 is that next point on this unsupervised learning paradigm, and, you know, we're very rigorous about how we do this. We make projections based on all the models we've trained befor…”
Chen: GPT-4.5 hits expected benchmark progression consistent with OpenAI's trajectory
“Well, I really don't think that the accurate characterization is that it doesn't hit the benchmarks that, that we expect it to. So when you look at kind of the development of three to 3.5 to four to 4.5 this does hit the benchmarks that we expect.”
Chen: GPT-5 could combine unsupervised scaling with reasoning paradigms
“And so I think, like GPT-V really could be the culmination of a lot of these things coming together.”
Chen: Users prefer GPT-4.5 over GPT-4o by 60% to 70% margins
“When we look at, kind of, comparisons against GPT-FORO you'll see that everyday use cases, people prefer, you know, by a margin of 60% for actually productivity and knowledge work against GPT-FORO, there's almost like a 70% preference rate.”
Chen: Nearly all large language models today utilize mixture of experts
“I think pretty much all large language models today use, utilize mixture of experts.”
Chen: Pausing and restarting training runs is standard across OpenAI models
“Actually, so I think it's interesting that this gets is a point that's attributed to this model because actually in, in, in developing all of our foundation models, right they're all experiments, right? I think you know, running all of the foundation models of…”