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A recent article by TechCrunch has shed light on why ChatGPT, a popular AI developed by OpenAI, struggles with mathematical tasks. The issue stems from the fundamental way modern AI, including ChatGPT, is built. Despite being a powerful tool in many areas, ChatGPT and similar AI models exhibit significant weaknesses in performing arithmetic and other mathematical operations, a condition referred to as 'dyscalculia'. Researchers have made some progress in reducing instructional errors in algebra, but challenges remain, particularly in statistics. Kyle has delivered an up-to-date answer to this persistent issue. This limitation raises questions about the effectiveness of GPT plugins and other tools designed to enhance AI's mathematical capabilities.
Researchers reduced ChatGPT’s instructional errors in algebra but were not as successful with statistics. @jillbarshay @hechingerreport Researchers Combat AI Hallucinations in Math https://t.co/GaIOdSPXS0
A while ago there was big noise about GPT plugins, as in interfaces written in natural language that would allow chatbots use external tools such as Mathematica etc. And yet as of today ChatGPT is quite terrible at simple arithmetics. Does this mean this idea never really worked? https://t.co/V0wl8vguQa
Agreed. GPTs store was probably an attempt to find out what those under chatGPT's strength would most likely be used for. It's been more of a market analysis than a really useful product. To be honest, I think that OpenAI actually believed they would use the GPTs in the… https://t.co/ev6vd8RtCF
