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Person

Bob E. Hayes

Filtered to personnel pattern ×
5 articles rising

Bob E. Hayes has appeared in 5 articles since 2019-08. Coverage peaked in 2023Q4 with 3 articles. Frequently mentioned alongside LinkedIn.

Articles
5
mentions
Velocity
+50.0%
growth rate
Acceleration
0.000
velocity change
Sources
3
publications

Coverage Timeline

2023-12-31
Marcus on AI 8 related

OpenAI and others will likely face more copyright lawsuits as systems like DALL-E produce copyright-infringing materials without attribution or informing users

including movie, TV, and computer game scenes and characters.  Reductio ad absurdam: trademark-infringing output from a two word prompt ("animated toys"): https://garymarcus.substack.com/ ... … Neil B...

2023-12-30
Marcus on AI 6 related

OpenAI and others will likely face more copyright lawsuits as systems like DALL-E produce copyright-infringing materials without attribution or informing users

A full of spectrum of infringement  —  At around the same time as news of the New York Times lawsuit vs OpenAI broke … Threads: @carnage4life and @thebrianpenny Mastodon: @cstross@wandering.shop , @ar...

2023-10-12
The Atlantic 3 related

Sources: the US Department of Commerce is considering new export controls for general-purpose AI programs, a move that experts say could weaken US AI innovation

Karen Hao / The Atlantic : X: @_karenhao , @dlberes , @bobehayes , @ainowinstitute , @theatlantic , and @ambaonadventure LinkedIn: Marc Rotenberg , Christos Makridis , and Marc Rotenberg X: @_karenha...

2019-08-03
MIT Technology Review 1 related

Researchers developed AI that learned chess not by playing but by analyzing reactions of expert commentators in text form to evaluate the quality of the moves

and do other things—more efficiently. https://www.technologyreview.com/ ... Bob E. Hayes / @bobehayes : Instead of practicing, this #AI mastered chess by reading about it https://www.technologyreview....

2019-08-02
MIT Technology Review

Researchers developed AI that learned chess not by playing but analyzing reactions of expert commentators in text form to evaluate the quality of the moves

Machines that appreciate “brilliant” and “dumb” chess moves could learn to play the game—and do other things—more efficiently. Tweets: @techreview , @bobehayes , and @kasparov63 Tweets: @techreview : ...

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