Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. Welcome to our second episode of the Good Robot Hot Takes, where every week Kerry and Eleanor give you their spicy opinions about top issues in tech. This week we talk about science fiction films, why we love Aliens and Sigourney Weaver, how female AI scientists and professionals are represented on screen, how this contributes to the unequal gender dynamics of the AI industry, why Iron Man's Tony Stark sucks, and why he and Ex Machina's Nathan Bateman aren't just bad apples but an epidemic of conceited AI scientists on screen. Dr Eleanor Drage and Dr Kerry Mackereth are Research Associates at the Leverhulme Centre for the Future of Intelligence, where they work on the Mercator-Stiflung funded project on Desirable Digitalisation. Previously, they were Christina Gaw Postdoctoral Researchers in Gender and Technology at the University of Cambridge Centre for Gender Studies.

Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. Welcome to our new format: The Good Robot Hot Takes! In these fun, lively, conversational episodes, we (Eleanor and Kerry) discuss some of the biggest issues in tech, from ChatGPT, and the sexy fembot problem in Hollywood film, to why predictive policing is a scam and why gender recognition is garbage. Dr Eleanor Drage and Dr Kerry Mackereth are Research Associates at the Leverhulme Centre for the Future of Intelligence, where they work on the Mercator-Stiflung funded project on Desirable Digitalisation. Previously, they were Christina Gaw Postdoctoral Researchers in Gender and Technology at the University of Cambridge Centre for Gender Studies.

The future of knowledge management is here. If you're looking for a better way to take notes and keep track of your knowledge, you should check out these three AI-powered note-taking apps. They help you organize your thoughts, find information faster, and even remember things better. These AI-first documentation tools offer productivity boosting super powers helping users capture, organize, and retrieve information faster than humanly possible. Mem.ai and bundleIQ both offer products that help users remember things they've written, while Flowdex helps users manage their notes.

Dating app Tinder has launched a new tool called Explore that lets users search for potential matches based on their interests. In Explore, users can discover dates who share a love for'every mood and activity', such as gaming, music, food and – for those who want to form a'power couple' – entrepreneurship. Explore, found as a separate tab within the Tinder app, expands on previous filters that had helped users find a date – age, location and sexuality. By giving users the option to navigate through profiles arranged by interest, Tinder is giving users more control over who they meet, according to the company. Explore is now rolling out for users in the UK, the US, Australia and New Zealand, and will be available globally by mid-October.

Tinder is enamored with video. After giving serial daters the ability to video chat last fall, the app is now letting members add multiple clips to their profile. Starting today, users will be able to edit and upload up to nine recorded videos from their phone to their Tinder profile. This, the company says, offers members a more "authentic way to express themselves." In particular, Tinder expects its Gen Z users raised on TikTok and YouTube to take to the feature with aplomb. The demographic makes up 50 percent of its global user base.

Care to chat before you swipe left or right? Tinder will roll out an update Tuesday introducing several big features, including the opportunity to chat with potential singles before making a match, the social app announced. The feature, called Hot Takes, is described as a social experience, and the first time Tinder users are able to chat with each other before they match. A timer during the session will tick down, allowing users to choose whether it expires and move on or complete a match. Also coming to Tinder: the option to add videos to their profiles, and an Explore tab where users can find people based on shared interests.

The rest of the thread, Tell me about a paper that you found inspiring, from u/mitare is also quite interesting. This paper is a really comprehensive review detailing what exactly current ML techniques are unable to do that humans can do very well. It lays the groundwork that needs to be done to make human-level artificial intelligence.

I wondered if it would be possible to use that list--and Reagan's computer skills--to assess a huge trove of campaign coverage over time, so we could compare the overall tone of articles about the different candidates. But to do this, we would need a ginormous database of campaign coverage. Digging into the Nexis newspaper archives, I collected tens of thousands of articles about Bernie Sanders, Hillary Clinton, and Donald Trump--whatever was published in more than 50 U.S. newspapers and websites over a 13-month period from July 2015 through August 2016. Reagan then took the data and fed it into his computer model, which spit out a complex portrait of the tone of campaign coverage over the past year. We had the beginnings of a sentiment analysis of presidential campaign coverage, one that might suggest the emotional tone of media stories about each candidate.