From what ive read it's a big leap forward in ability. All big name CEOs have commented on it
Now, the lab versions OpenAI is running with all this new funding are probably on a whole different level—think of them more like an IQ of 200 vs GPT 5 IQ 140. They can handle huge, multi-step problems that require combining logic, memory, maths, language, vision, even code.
They could plan projects, predict complex systems, design experiments, or coordinate multiple agents at the same time.
The usefulness comes down to real-world problem solving. Where public GPT‑5 is excellent for everyday tasks—writing an essay, helping with code, summarising documents—the lab models might: help scientists design new drugs, optimise supply chains globally, simulate economic or climate scenarios, or even run advanced robotics tasks.
In short: public GPT‑5 is smart, but the lab versions are the ones likely showing frontier-level reasoning, memory, and creative problem-solving—the kind of AI that could tackle tasks humans find extremely challenging or slow.
I believe the following is a realistic example based on reliable sources I read:
Drug discovery and design.
With public GPT‑5, you could ask it to summarise research papers on a disease, suggest plausible molecular targets, or draft a report on clinical trial data. It’s helpful, but a human scientist still has to do the heavy lifting: designing molecules, simulating their behaviour, and predicting side effects.
Now imagine the lab model: it could ingest millions of molecular structures, biochemical pathways, patient datasets, and research papers simultaneously, then design entirely new compounds, simulate their interactions, predict toxicity, and optimise for effectiveness—all in a fraction of the time a team of experts would take. It could even propose multiple variations, rank them by likelihood of success, and adapt its suggestions based on real-world lab results.
The difference is like going from a super-intelligent research assistant to an autonomous research team that can plan, iterate, and predict outcomes across disciplines. Public GPT‑5 gives you ideas; the lab model starts doing the actual work, making discoveries that would otherwise take years.
Anthropics CEO described the leap as going from working with a good PHD student to working with a country of Nobel prize winners. He means working with genius level AI agents all working on the same task (millions of them all working independently).
From what ive been reading and hearing GPT 3, 4,5 increments in smarts which we have seen publicly Vs The lab version is a leap from 5 to 10!
I think we will see something very impressive in the next 6 months. The funding is to scale out the compute so OpenAI can prepare for the huge influx in enterprise use. And it would appear as though Amazon just got the contract to cloud serve the bandwidth to do it.
