human
Use a linear sequence expressed as a pattern to make a prediction about another term in the sequence other than the next one If the original sequence looks like this: ![Two patterns made of squares. Pattern 1 consists of a central column of three squares, with an extra square either side, making a cross. Pattern two consists of two central columns of three squares with one extra square either side. ]() There are \( 302 \) squares in Pattern \( 100 \). But if the shape changes to this: ![These patterns are the same as those in the first picture except that in each, the second block from each column of three has been removed. ]() How many squares would there be in Pattern \( 100 \) now? \( 300 \)
gpt
Only looks at the difference between one pair of terms when discerning the pattern