GLR Review March-April 2019

   one of the men who had been denied a marriage license by Davis. Imagine if Ermold had won the primary and the elec- tion—poetic justice worthy of the Furies. Ex-Gay Leader Erased It seems that if we wait long enough, anyone who rises to prominence in the “ex-gay” movement will eventually be caught doing precisely the thing that he has renounced and denounces. The latest to fall is Norman Gold- wasser, an Orthodox Jewish therapist at Horizon Psychologi- cal Services, who gained national prominence with a 2006 paper that compared “SSA” (same-sex attraction) to obsessive- compulsive disorder and recommended a similar line of treat- ment. Well, recently he was caught soliciting sexual partners on Manhunt using the profile name “Hotnhairy72.” The sting was carried out by Wayne Besen, founder of Truth Wins Out, when he made contact with Goldwasser, who was using the pseudo- nym “Dave” on Manhunt and offered to meet Besen at a Fort Lauderdale motel room. (“Hotnhairy72” also had a presence on Bear Nation.) The timing is noteworthy what with the movie Boy Erased in wide release, especially since Goldwasser was a funnel for clients into the Journey into Manhood program, where gay males are taken into the woods to participate in ac- tivities designed to “cure” them of gayness. These programs have a notoriously low rate of success, as witness the tendency to backslide into man hunting. One is tempted to say: well, there’s your problem right there. Taking a bunch of gay dudes into the woods for extended periods sure doesn’t seem like a formula for sparking an attraction to the opposite sex. Deep Learning Scientists in Britain have created a machine that uses artificial intelligence (AI) to perform the perfect blow job. The development of “Autoblow” follows the publication of a paper titled “Analysis of Movement in Oral Sex Performed Upon Men,” based on 108 hours of nonstop blow job videos. The device uses a sleeve that slides up and down the penis to simulate human lips and mouth. What’s unique is the use of AI to learn through observation and neural network analysis the best techniques for getting the job done. Commented one of the developers: “We use quantization techniques to discover sixteen distinct motions, and using these motions we design and evaluate a system that pro- cedurally generates realis- tic movement sequences using deep learning.” All this precision for what we thought was one of life’s sloppier activities! Which is perhaps the point: to make it less sloppy and more like the best you’ve ever had. Autoblow will sell for $249 and has a number of different settings, and of course it will be adjustable for length and girth. Capital was raised through crowdfunding for its development, and a record was broken when $190,000 rolled in, suggesting that there are a lot of guys out there who want to get their hands on this device—or free up their hands for other purposes (fast forwarding?).                                                                                                                                                                                                                                     