- Published on January 3, 2023
- In AI Features
2022 — The Year Where AI Went Wrong
Noam Chomsky believes that no matter how many models come with updated data and parameters, the fundamental flaw in the LLMs can never be remedied.
- By Lokesh Choudhary
The year of 2022 ended with a lot of updates and anticipation around the generative AI, which made routine headlines globally. And while the folks around the tech industry were optimistic about AI being the future of the world, with the notion that AI will have the capabilities to enable automation, predictive analytics, and personalised experiences that will unlock new opportunities and business models; AI researchers in totality are not particularly happy about it.
In the recent AGI debate, where many of the global AI researchers were present, Gary Marcus said that the common point that nearly all panellists found worrisome was the near-future of Artificial Intelligence.
LLMs and Cognition
When it comes to Artificial Intelligence, ChatGPT has recently taken over the
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Lokesh Choudhary
Tech-savvy storyteller with a knack for uncovering AI's hidden gems and dodging its potential pitfalls. 'Navigating the world of tech', one story at a time.
You can reach me at: lokesh.choudhary@analyticsindiamag.com.
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