machine learning
concept · 48 episodes · JSON
- For All Humanity?; Gordon Moore Folds Your Clothes … Or, rather, it has used machine learning to make a model that can be used to drive a robot. So far so AI Company Does Thing. If you …
- An End Of Year Opinion About AI Because Why Not; Good Enough Mitigation of Reasonably Foreseeable Harm … Then there’s the “AI” machine learning that does stuff like increasing resolution of images but doesn’t go wholesale into generating/filling new details, of which there …
- A Model for the People
- Hallway Track; DOGE; Efficiency; COBOL; Give None of These Things; Context, Not News … This labeler uses machine learning to decide whether your profile pic is kiki or bouba. In a different world this would be the cause of World War III …
- Kill Your Gods … For This [5] , a fantastic piece first about Magic Editor and Reimagine, the machine learning-powered image editing and image generation built into Google’s latest phone, the …
- Low-Hanging Fruit, Information Processing, and People Problems … The way I put this before was that the maths and FLOPs weren’t what made modern “throw all the data at it” machine learning models possible. What …
- Unreliable Narrators; Palate Cleansers … evidence” (ProPublica) [9] These days, there’s more visible concern about bias in machine learning algorithms leading to misclassification (ugh, what a euphemism), but principle remains. So. Again …
- Just Put A Fucking Warning Label On It; A Sort Of Qualified Immunity; Doing a Spreadsheets is Coding; Rotate 75 Degrees Around The Vertical … to famously zoom and enhance , which now is a totally normal thing that machine learning will let you do to regular photographs, but without the unnecessary (or maybe …
- It Sounds Like You're Jealous; Scale Considered Harmful … Like I wrote the other day, the step change in the capablity of synthetic media machines and other machine learning automation tasks categorized by bender above due to …
- Your Timeline needs a DJ; Enough … Then there's the other end of things, which is some sort of magical algorithm that is inscrutable and may also rely on machine learning and a corpus …
- Duolingo, but for talking to ML Image Generators … Which brings me to Duolingo, but for learning the language of machine learning prompts, whether they're image generation or conversational "finish this sentence" GPT-3/text generation …
- Standards; The Bird in the Room … What I'm thinking about is the fact that for a bunch of people, machine learning-based image generation (aka DALL·E and successors) is good enough despite …
- Yet Another DALL·E-related Reckon … not in the uncanny valley) images of humans who do not exist, the product of machine learning trained on lots and lots of pictures of real people The …
- Wait, it's just a guess?! … Sure you can call it machine learning, but I genuinely believe that a more intuitive, more realistic and more helpful way of thinking about these systems is that …
- Lights … adoption of low-energy lighting solutions? (blech) Go on, can you do a machine learning application? Sure, use the cameras that are going to be on smart devices …
- Just Put Dr. Ian Malcolm On Our Tombstone Already … OpenAI (and others -- it's not just them) are involved in an arms race to figure out the awesome stuff you can do with machine learning and essentially …
- It's still about Ethics in Dataset Collection, Attribution and Licensing, but also Governance … I wrote in s12e09 about ethics in dataset collection, attribution and licensing in machine learning , in that particular case about the Berkeley Crossword Solver and how it was …
- Actually, it's about the ethics in dataset collection, attribution and licensing in machine learning … do more reading into the ethics in dataset collection, attribution and licensing in machine learning. Okay, that's it for today. Actually only 15 minutes. How are you …
- AI but, you know, not bad; Liminal … there might be the temptation to say hey, before you go off galavanting to the AI store to pick out the latest Machine Learning Decision Making Algorithms to …
- Community Content … thing you might explore is the lack of a curated, public dataset for machine learning that compensates the people putting in the labour of managing that dataset. Just …
- Didn't Organize, Only Moved; Context Collapse … So again was machine learning applied. Already a part of networks' arsenal in dealing with abusive and hateful speech in the name of content moderation -- required, after all …
- Wirecutter Reviews: The Best Person To Determine Health Insurance Coverage For Most People Is You … Planting Undetectable Backdoors in Machine Learning Models is a preprint of, well, a method of making other people's machine learning/AI models do what you want them …
- A Short Conversation About NATO … Don't listen to the bad man, DALL·E DALL·E is the latest machine learning tool/experiment/bit of the future hurled backward into the past from …
- IT'S SIGGRAPH TECHNICAL PAPERS PREVIEW TRAILER TIME, BABY! … Siggraph gets more and more interesting every year from interesting sideways approaches like when NVidia surprised everyone by using machine learning as part of a fast ray tracing …
- What's the EGOT for Technology and Arts? … Many of the papers on arXiv, at least from what I’ve observed recently, aren’t from academics, and in the field of artificial intelligence and machine learning …
- This Is Your Regular Reminder … This is your regular reminder that when people were saying machine learning, AI and deep learning would solve the problem of content moderation and hate speech, they ended …
- Titles, am I right? … about data encoded in tables and have to admit that this type of machine learning is rapidly approaching “I don’t know, magic?” in my head. Honestly, I …
- Flint and Kindling … a thing about the Untitled Goose Game, game design and, uh, gamification; a thing about how we talk about AI/machine learning predictions and detection; and a thing …
- Software from trauma, or, fingers crossed the only blockchain episode of 2020 … ll get back to you.” You wait a minute. “Okay. Hear us out. Machine learning-” “Machine what?” “Deep learning. It’s a kind of-” “OK, but how do …
- Tattletales, or, OK Google, what do you have on me? … an interesting paper from NeurIPS on the use of indigenous data (sacred waveforms, spiritual data) in machine learning . Joke’s on you, that was 3,500 words! If …
- Ambient information radiators; butter trucks; trains … It’s powered by machine learning technology from our Magenta open source project. For example, if your alarm goes off early in the morning and the weather is …
- What Kind of Day Has It Been … I’m not sure if this was intended to poke fun and be part of an argument for machine learning-backed decision making (I mean, it sure felt …
- “With the word POLICE on it” … The press release is worth a read, I think, because it shows how industries are talking about (and treating) technologies like machine learning and computer vision. The press …
- Tireless five year olds … how I learned to stop worrying and love machine learning Spoiler: I do not end up stopping worrying and loving machine learning. Via Dr. S. A. Applin , I …
- Snow Crashing … For the next episode, I have a thing I’m working on about machine learning and young children, which should be fun. It’s a brisk, sunny Monday …
- The One With The Uneven Mid-Season Two-Parter … blockchain (still), data (still), machine learning/deep learning/A.I. (hot?), cloud (still - remember, everyone’s using mainframes in government), voice assistants (maybe?)) because there’s presumably a …
- Firebreak Protocol … Short Links , news on Emily Short’s blog of Textworld , a reinforcement-based machine learning approach for creating text adventures with Inform 7 which ticks many of my …
- Acquisition and ingest mode, dial for a wide spread … sure how to describe the parameters? The answer to this isn't completely "machine learning" will fix this). My theory here is that unpredictability of content order is …
- Division by Infinity … We can and absolutely apply a moral like don't-judge-a-book-by-its-cover to, say, shoddy machine learning research that seeks to predict criminal behavior …
- End of Process … Modern machine learning techniques now allow us to do the same for tasks where describing the precise rules is much harder. Machine learning techniques - most recently and commonly …
- It Looks Like You're Trying To Write A Newsletter … It's their CTO saying that the key to making their content "valuable to the broadest audience possible" - and note, he said *valuable*, not useful - is machine learning …
- They Should Have Sent A Poet … In the future, though? Any chance of a huge aggregation of people just writing input text for unsupervised machine learning? "Please complete your task today by writing 100 …
- Portions Of This Consciousness Are Copyright … You've got Google's cloud machine learning products[3], IBM's Watson Services[4] and, as ever, absolutely nothing that you can plug Apple or Siri services …
- Uncanny Valley; Network Du Jour; Streaking Considered Harmful … I have run into problem number one of machine learning which is this: you end up just having to tweak a bunch of variables and training the model …
- The Difficult Third Album … That unless you're talking about a conference for machine learners - not the ones coding the machine learning - then technology is a human artifact made by people who …
- Bridj Laziness; Deciding In Public; Terrible Tools … it deploys "millions" of data points, machine learning and big data. All of these, combined with driverless vehicle technology (remember, you don't need to tip your driver …
- That Most Killer Of Deals; Need To Know
- Board-Level Algorithms; You Speak GIF, Right?; Intent; Odds … Their website says that they partner with "the top analytical companies utilizing machine learning and [a] large panel of experts" to "construct complex decision trees showing risk and …