{"version":"1.1.0","chapters":[{"startTime":40.0,"title":"Summary of the report"},{"startTime":191.0,"title":"The 2020 training compute requirements distribution"},{"startTime":360.0,"title":"A closer look at the NN anchor"},{"startTime":601.0,"title":"My initial reaction"},{"startTime":674.0,"title":"Summary of other people’s reactions"},{"startTime":1144.0,"title":"A closer look at two background assumptions"},{"startTime":1150.0,"title":"Can 2020 algorithms scale to TAI?"},{"startTime":1430.0,"title":"A strategy to see if 2020 algorithms can scale to TAI"},{"startTime":1558.0,"title":"An example of the strategy"},{"startTime":1908.0,"title":"Back to all 2020 algorithms"},{"startTime":2211.0,"title":"Can we rerun evolution with an evolutionary amount of compute?"},{"startTime":2366.0,"title":"My opinion on the three requirements"},{"startTime":2676.0,"title":"Ideas for future work"}]}