Eliza Strickland - Profile and Journalist Details
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Eliza Strickland
Verified
Senior Editor, IEEE Spectrum
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By Eliza Strickland Verified| IEEE Spectrum Verified The large language models (LLMs) that power today’s chatbots have gotten so astoundingly capable, AI researchers are hard pressed to assess those capabilities—it seems that no sooner is there a new test than the AI systems ace it. But what does that performance really mean? Do these models genuinely understand our world? Or are they merely a triumph of data and calculations that simulates true understanding?
By Eliza Strickland Verified| IEEE Spectrum Verified If you read the news about AI, you may feel bombarded with conflicting messages: AI is booming. AI is a bubble. AI’s current techniques and architectures will keep producing breakthroughs. AI is on an unsustainable path and needs radical new ideas. AI is going to take your job. AI is mostly good for turning your family photos into Studio Ghibli-style animated images. Cutting through the confusion is the 2025 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence.
By Eliza Strickland Verified| IEEE Spectrum Verified The large language models (LLMs) that power today’s chatbots have gotten so astoundingly capable, AI researchers are hard pressed to assess those capabilities—it seems that no sooner is there a new test than the AI systems ace it. But what does that performance really mean? Do these models genuinely understand our world? Or are they merely a triumph of data and calculations that simulates true understanding?
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IEEE Spectrum
Piscataway Township, New Jersey, United States
+1 212-419-7900