powerOCTOBER 24, 2026 • 14:30 CET
MW
MegaWatt Intelligence Desk
Executive Briefing (TL;DR)
- Since about 2020, AI has largely focused on training bigger and better models
- Large language models (LLMs) ballooned from millions of parameters to trillions
- This proved effective: The largest version of OpenAI’s GPT-3, released in 2020, correctly answered just 43.9 percent of questions on a popular knowledge-and-reasoning benchmark
- Just four years later, GPT-4o reached a score of 88.7 percent on the same exam, effectively matching those of human experts.Advanced AI labs are still training ev
The AI Inference Revolution Is Here
Original media associated with the source publication: The AI Inference Revolution Is Here.
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Since about 2020, AI has largely focused on training bigger and better models. Large language models (LLMs) ballooned from millions of parameters to trillions. This proved effective: The largest version of OpenAI’s GPT-3, released in 2020, correctly answered just 43.9 percent of questions on a popular knowledge-and-reasoning benchmark. Just four years later, GPT-4o reached a score of 88.7 percent on the same exam, effectively matching those of human experts.Advanced AI labs are still training ev
Technical Photo Gallery (Exclusive Coverage)
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Original media associated with the source publication: The AI Inference Revolution Is Here.Attribution: IEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
IEEE Spectrum Computing RSS FeedIEEE Spectrum Computing RSS Feed — verify reuse rights at the original source
