OpenAI: How could GPT-5 Impact Sustainability?
OpenAI has introduced GPT-5, ending months of anticipation around its next-generation AI model's release.
The AI powerhouse announced: “GPT‑5 is smarter across the board, providing more useful responses across math, science, finance, law and more.
“It's like having a team of experts on call for whatever you want to know.”
Sam Altman, OpenAI’s CEO, told BBC News: “I think having something like GPT-5 would be pretty much unimaginable at any previous time in human history.
“GPT-3 sort of felt to me like talking to a high school student... 4 felt like you're kind of talking to a college student.
“GPT-5 is the first time that it really feels like talking to an expert in any topic, like a PhD-level expert.”
“We’re truly excited to not just make a new great frontier model, we’re also going to unify our two series,” says Romain Huet, OpenAI’s Head of Developer Experience.
“The breakthrough of reasoning in the O-series and the breakthroughs in multi-modality in the GPT-series will be unified and that will be GPT-5.”
CEO Sam Altman’s thoughts on development challenges
GPT-5 is a shift away from OpenAI's previous strategy of separate models for distinct tasks such as GPT-4o for multimodal work and o3 for complex reasoning.
Sam shares his development apprehensions, likening the experience to the Manhattan Project, a sentiment reflecting the significant implications of the model’s capabilities.
Sam said that “there are no adults in the room” when it comes to AI development oversight, suggesting the technology is advancing faster than regulatory frameworks can keep pace.
Despite concerns, Altman praises GPT-5’s practical utility. For instance, the model adeptly addressed a challenging email task for him, showcasing its efficiency.
Speaking on comedian Theo Von’s podcast, he compared the development process to the Manhattan Project and admitted feeling “nervous and scared” about what the team had created.
“It feels very fast,” he says, referring to the model’s performance.
GPT-5’s adaptive variants for targeted applications
GPT-5 introduces four configurations tailored for distinct use cases.
The standard GPT-5 adeptly handles logic and multi-step tasks, while GPT-5-mini offers a cost-efficient solution for simpler needs.
Meanwhile, GPT-5-nano ensures optimised speed and low-latency processing, and GPT-5-chat is suited for enterprise-grade conversational tasks.
The true innovation is within its automatic task routing, eliminating user concerns about model selection.
GPT-5 assesses requests, autonomously determining the appropriate processing style, enhancing responsiveness and reasoning.
Jerry Tworek, Vice President at OpenAI, explains the strategy on Reddit: “GPT-5 is our next foundational model that is meant to just make everything our models can currently do better and with less model switching.”
How AI use can improve sustainability
The Penn State Institute of Energy and Environment reports that AI uses a lot of energy, with data centres consuming 4.4% of US electricity.
However research from the London School of Economics and Political Science found that AI is important in the climate transition.
The study found that AI could reduce global emissions by 5.4 GtCO₂e every year, which outweighs the energy produced by AI.
The research found that AI has the ability to scale innovation rapidly, helping to improve economic growth, break cycles of under-investment and achieve emissions reductions.
The study found that AI could reduce global emissions by 5.4 GtCO₂e every year, which outweighs the energy produced by AI.
The research found that AI has the ability to scale innovation rapidly, helping to improve economic growth, break cycles of under-investment and achieve emissions reductions.
