AI Inputs

Progress in general purpose factoring

The largest number factored to date grew by about 4.5 decimal digits per year over the past roughly half-century. Between 1988, when we first have good records, and 2009, when the largest number to date was factored, progress was

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AI Timelines

Trends in algorithmic progress

Algorithmic progress has been estimated to contribute fifty to one hundred percent as much as hardware progress to overall performance progress, with low confidence. Algorithmic improvements appear to be relatively incremental. Details We have not recently examined this topic carefully

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AI Inputs

Funding of AI Research

Provisional data suggests: Equity deals made with startups in AI were worth about $5bn in 2016, and this value has been growing by around 50% per year in recent years. The number of equity deals in AI startups globally

AI Timeline Surveys

2016 Expert Survey on Progress in AI

The 2016 Expert Survey on Progress in AI is a survey of machine learning researchers that AI Impacts ran in collaboration with others in 2016. Details Some results are reported in When Will AI Exceed Human Performance? Evidence

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AI Timeline Surveys

Concrete AI tasks for forecasting

This page contains a list of relatively well specified AI tasks designed for forecasting. Currently all entries were used in the 2016 Expert Survey on Progress in AI. List Translate a text written in a newly discovered language

Blog

Joscha Bach on remaining steps to human-level AI

Last year John and I had an interesting discussion with Joscha Bach about what ingredients of human-level artificial intelligence we seem to be missing, and how to improve AI forecasts more generally. Thanks to Connor Flexman’s summarizing efforts, you can now learn about

AI Timelines

Conversation with Tom Griffiths

Participants Professor Tom Griffiths, ­ Director of the Computational Cognitive Science Lab and the Institute of Cognitive and Brain Sciences at the University of California, Berkeley. Finan Adamson, ­ AI Impacts. Note: These notes were

Blog

What if you turned the world’s hardware into AI minds?

In a classic ‘AI takes over the world’ scenario, one of the first things an emerging superintelligence wants to do is steal most of the world’s computing hardware and repurpose it to running the AI’s own software. This step takes one from ‘super-proficient hacker’