Sam Altman turns into ‘Ram Altman’ as backlash erupts over his ‘wasting PC RAM’ | Today’s news
OpenAI CEO Sam Altman has changed his name from X (formerly Twitter) to Ram Altman after facing online backlash over his recent comments about computer memory and global DRAM supply.
Altman made the change after a user suggested a new name in response to one of his posts. The proposal came amid criticism of his earlier remarks that having dedicated DRAM in personal computers was a “pretty terrible” allocation of the world’s limited memory supply.
Amid the backlash, Altman argued that humans should not hand over control of the future to superintelligence, adding that this would ultimately limit the progress of artificial intelligence.
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“Humans should always be in control of the future. OpenAI opposes the idea that it would be acceptable for humans to be relegated to the role of doing things that ‘AI systems think makes sense to reward humans,'” Altman said.
One user suggested under his post, “You can rename your X to Ram Altman,” to which the OpenAI boss replied, “Ok yes.”
In a follow-up comment, Altman said he was changing his name because his earlier remarks had been “taken out of context”. He also specified that he wanted the world to have “tons of memory”.
“But only because I really want the world to have lots of memory and people putting as much as they want into their computers, and it’s damn annoying that it’s been taken out of context. I’ve been advocating for the world to increase memory production for a long time.”
Sam Altman on RAM: Why did his comments spark a backlash?
Altman said this during an interview with YouTuber Cheeky Pint, where he discussed the global computing capacity constraints facing the artificial intelligence industry.
He rejected the idea of running open source AI models locally on personal computers, arguing that it was inefficient from a global resource allocation perspective for individual users to have large amounts of RAM installed on their computers when the memory was used only a small percentage of the time.
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“From a global allocation perspective, it’s actually pretty terrible when everyone has a lot of the world’s finite supply of DRAM sitting on their own computer and being used five percent of the time,” Altman said.
He argued that computing resources should instead be used more efficiently through cloud infrastructure, especially as the industry faces supply constraints.
“You want maximum utilization in the cloud if you’re trying to deal with this very supply-constrained environment. And everyone’s, a lot of people’s, intuition is kind of the opposite.”
Why is RAM becoming important to the AI industry?
The debate comes as AI companies face increasing demand for computing infrastructure to develop and run increasingly sophisticated AI models.
DRAM (Dynamic Random Access Memory) is an important part of computer systems that allows devices to temporarily store data that processors need quick access to.
OpenAI’s primary business is built around closed AI models that run in data centers. Altman’s comments again highlighted the competing memory requirements between cloud-based AI infrastructure and consumers who want to run AI models locally on their personal computers.
His remarks also highlighted a broader debate about how the world’s limited computing resources should be allocated as the adoption of AI expands.
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While cloud-based AI services rely on extensive data center infrastructure, on-premises models allow users to process AI workloads on their own computers.
The disagreement over RAM allocation therefore reflects a broader question facing the tech industry: how should computing resources be distributed between centralized AI infrastructure and individual users?