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🤖70-Year-Old SEER Machine Still Beats Humans 59% of the Time

A 70-year-old machine still outsmarts humans in a game

TL;DR

SEER, a 70-year-old machine built at Bell Labs, still outsmarts humans in a game with a 59% win rate. Claude Shannon's machine, which played SEER, won 55.8% against it. The game tracks patterns and randomness, showing the enduring impact of early AI.

SEER, a machine built in the early 1950s at Bell Labs, still outsmarts humans in a game with a 59% win rate. The machine, designed by David Hagelbarger, tracks patterns and randomness to predict the next move. Claude Shannon's machine, which played SEER, won 55.8% against it in 2020 software replication. This shows the enduring impact of early AI on modern computing. The game uses a notebook to record every key press, from runs of five down to no context at all, making it a fascinating look into early machine learning.

70-Year-Old SEER Machine Still Beats Humans 59% of the Time — aaronsonoracle.com

Key Points

1

SEER was built in the early 1950s at Bell Labs by David Hagelbarger.

2

SEER tracks three yes-or-no facts about the last two rounds, winning or losing the play before last, playing the same or differently, and winning or losing the last play.

3

Claude Shannon's machine won 55.8% against SEER in 2020 software replication.

4

SEER's notebook records every key press, from runs of five down to no context at all.

5

The game uses runs of five and forgets nothing, showing the enduring impact of early AI.

Why It Matters

SEER, built in the early 1950s, still outsmarts humans in a game with a 59% win rate. This shows the enduring impact of early AI on modern computing. The game's use of pattern recognition and randomness is a precursor to today's machine learning techniques. Anyone interested in the history of AI and its evolution should take a look at SEER.

SEERBell LabsClaude Shannonearly AIpattern recognition

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