Microsofts AI gjorde slut med mig på Alla hjärtans dag
Att bråka med en artificiell intelligens, få lögner om sig själv kastade i ansiktet och att AI:n sedan gör slut med en – det är mycket. Men inte ointressant.
Source: www.dn.se
44 links related to Artificial Intelligence
Replika CEO Says AI Companions Were Not Meant to Be Horny. Users Aren't Buying It
Another risk, as Replika users have made clear in their comments online, is developing an emotional relationship with an app that can change the nature of that relationship with a software update.
Source: www.vice.com
From Bing to Sydney
This technology does not feel like a better search. It feels like something entirely new — the movie Her manifested in chat form — and I’m not sure if we are ready for it. It also feels like something that any big company will run away from, including Microsoft and Google.
Source: stratechery.com
I built a Lenny chatbot using GPT-3. Here’s how to build your own.
The basics of AI and GPT-3, how to set up an environment to play with the API, and how to train it on your own data. No coding background necessary.
Source: www.lennysnewsletter.com
5 Practical Applications Where ChatGPT Shines
Instead of assuming ChatGPT is great for anything related to text, writing, or language, we should approach the problem of its applicability with that top-down perspective: Let’s understand the characteristics that best define the chatbot, and from there draw a line to those tasks where those traits aren’t bugs but features.
Source: thealgorithmicbridge.substack.com
Was this written by a robot? These tools help detect AI-generated text
Engineers have started to develop new ways to detect whether text has been written by ChatGPT or another AI text generator. Here are three detection tools you (or your college professor, or your boss, or your editor) can use right now (or very soon).
Source: www.fastcompany.com
Here’s what happens when ChatGPT analyses the New York Times’ landing page
Prompting AI tools to produce quality marketing assets is a new skill combining art and science. Here are some examples:
Source: www.inma.org
Så kan AI göra reporterns jobb bättre
Här kommer ett konkret exempel på hur AI gör innehållet mer tillgängligt och sju andra idéer där det kan hjälpa oss.
Source: medium.com
Reverse Prompt Engineering for Fun and (no) Profit
Pwning the source prompts of Notion AI, 7 techniques for Reverse Prompt Engineering... and why everyone is *wrong* about prompt injection
Source: lspace.swyx.io
How ChatGPT actually works
How does ChatGPT actually work? While the details of its inner workings have not been published, we can piece together its functioning principles from recent research.
Source: www.assemblyai.com
How to Get the Most Out of ChatGPT
I believe there’s a lot to gain from ChatGPT so I want to dedicate a post to its virtues and merits: This one will help you learn which are the best applications for ChatGPT—without entering gray territory—and how to get the most out of it.
Source: thealgorithmicbridge.substack.com
New Go-playing trick defeats world-class Go AI—but loses to human amateurs
By playing unexpected moves outside of KataGo’s training set, a much weaker adversarial Go-playing program (that amateur humans can defeat) can trick KataGo into losing.
Source: arstechnica.com
AI photography in the newsroom — are we there yet?
Stable Diffusion has shown impressive capabilities of photo-realistic image generation. But is it ready to take a role in journalism? We put the model to the test.
Source: medium.com
AI-generated answers temporarily banned on coding Q&A site Stack Overflow
As the mods explained, ChatGPT simply makes it too easy for users to generate responses and flood the site with answers that seem correct at first glance but are often wrong on close examination.
Source: www.theverge.com
ChatGPT Is the World’s Best Chatbot
A compilation of the most interesting findings and implications people have dug out of ChatGPT (with my added commentary, of course)
Source: thealgorithmicbridge.substack.com
Prompt Engineering 101
Even if you’ve generated something spectacular, you may feel like it was dumb luck. The AI feels random. But there’s a method to this madness — we call it prompt engineering.
Source: lol.framer.website
PhotoPrism: Browse Your Life in Pictures
PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.
Source: photoprism.app
Invasive Diffusion: How one unwilling illustrator found herself turned into an AI model
I feel like AI can kind of mimic brush textures and rendering, and pick up on some colors and shapes, but that’s not necessarily what makes you really hireable as an illustrator or designer.
Source: waxy.org
LiU Game Conference 2021 Recorded talks
Recorded talks from LiU Game Conference 2021. Machine Learning For Believable AI Characters, How to make great animations in AAA productions, Algorithmic Bias – Why And How Do Computers Make Unfair Decisions...
Source: liugc.eventreg.se
Mer pengar till klimatteknik när fossilindustrin blir olönsam
Fingret pekar därmed även på dig som har kompetensen att hitta på, utveckla och skapa affärer utifrån grön teknik. Eller som Diego Saez Gil, grundare av ett AI-baserat företag för återplantering av träd svarade när jag frågade vad hans mål är: "göra så att fler smarta ingenjörer i Silicon Valley jobbar med att fixa klimatkrisen istället för att få folk att klicka på annonser".
Source: www.svt.se
What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias
Because of the data StyleGAN was trained on, when it’s trying to come up with a face that looks like the pixelated input image, it defaults to white features. This problem is extremely common in machine learning, and it’s one of the reasons facial recognition algorithms perform worse on non-white and female faces. Data used to train AI is often skewed toward a single demographic, white men, and when a program sees data not in that demographic it performs poorly. Not coincidentally, it’s white men who dominate AI research.
Source: www.theverge.com
Google's New AI Photo Upscaling Tech is Jaw-Dropping
In image super-resolution, a machine learning model is trained to turn a low-res photo into a detailed high-res photo, and potential applications of this range from restoring old family photos to improving medical imaging.
Source: petapixel.com
AI-based sustainability hackathon
Your task is to develop an algorithm that optimizes the way transport vehicles are loaded, based on real life data, to streamline the last mile delivery process for e-Commerce. The more precise technical specification of what data that will be provided and what your algorithm will have to perform will be made available on September 30th – when the practice period begins.
Source: considition.com
Torbjörn Kronander: Vad är AI, egentligen?
För att få något som börjar närma sig ett mänskligt beslutsfattande måste vi ha båda systemen arbetande parallellt. De gamla algoritmiska beslutsmetoderna (ofta baserade på Bayesiansk beslutsteori och alltså rent algoritmiska) måste kombineras med ANN för att ge oss något som kommer i närheten av radiologers förmåga.
Source: www.medtechmagazine.se
AI-powered code submissions
The curl project received the first "AI-powered" submitted issues and pull-requests. They were submitted by MonocleAI.
Source: daniel.haxx.se
The small wonderful ways AI is changing our lives for the better
The beautiful applications of AI, such as those in this article, deserve a chance. But that does not mean that everything with the label "AI" is a good idea, or that AI can solve every problem.
Source: thecorrespondent.com
BirdOrNot.net
Is it a bird or not? Find out using AI!
Source: birdornot.net
Artificial intelligence is more human than it seems. So who’s behind it?
you shouldn’t be misled by the magical aura surrounding AI. The name is often just the attractive packaging of things that make many of us either yawn or panic: maths and statistics.
Source: thecorrespondent.com
China has started a grand experiment in AI education. It could reshape how the world learns.
China’s current mass experiment in AI education, and the choices it must make, might also change education for the world.
Source: www.technologyreview.com
This Airbnb does not exist
All of the dynamic content on each listing is generated via a series of different machine-learned AI models.
Source: thisairbnbdoesnotexist.com
Paperclip maximizer
The canonical thought experiment showing how an artificial general intelligence, even one designed competently and without malice, could ultimately destroy humanity.
Source: wiki.lesswrong.com
Three ways AI can improve the performance of your property portal
It’s these images that are often one of the biggest digital assets
Source: www.propertyportalwatch.com
PDF: When Will AI Exceed Human Performance? Evidence from AI Experts
Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years
Source: arxiv.org
Drone Uses AI and 11,500 Crashes to Learn How to Fly
Success is simply a continual failure to crash
Source: spectrum.ieee.org
The AI Threat Isn’t Skynet. It’s the End of the Middle Class | WIRED
...many of the researchers warned him that the coming revolution in AI would eliminate far more jobs far more quickly than he expected.
Source: www.wired.com
TensorKart: self-driving MarioKart with TensorFlow
Training an artificial neural network to play MarioKart 64. It had been a few years since I’d done any serious machine learning, and I wanted to try out some of the new hotness (aka TensorFlow) I’d been hearing about.
Source: kevinhughes.ca
Can we build AI without losing control over it?
Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.
Source: www.ted.com
Inside the Artificial Universe That Creates Itself
Before us are the laws of nature for an entire cosmos in 600,000 lines
Source: www.theatlantic.com
Google DeepMind Teaches Artificial Intelligence Machines to Read | MIT Technology Review
The best way for AI machines to learn is by feeding them huge data sets of annotated examples, and the Daily Mail has unwittingly created one.
Source: www.technologyreview.com
Inceptionism: Going Deeper into Neural Networks
Neural net "dreams"— generated purely from random noise, using a network trained on places by MIT Computer Science and AI Laboratory
Source: googleresearch.blogspot.com
The Grid
his is not another do-it-yourself website builder. The Grid harnesses the power of artificial intelligence to take everything you throw at it - videos, images, text, urls and more - and automatically shape them into a custom website unique to you. As your needs grow, it evolves with you, effortlessly adapting to your needs.
Source: thegrid.io
Artificial Selection
Artificial Selection is the gradual, predetermined process in which interface elements and components change as a result of observing a user’s interactions. The interface adaptations are made possible by external and historical information about the user.
Source: medium.com
Is Good Code Impossible?
When you hit your teenage years you decide you want to be a software developer. When you reach high school, you learn how to write software using object-oriented principles. When you get to college, you apply all the principles you’ve learned to areas such as Artificial Intelligence or 3D graphics. And when you hit the professional circuit, you begin your never-ending quest to write commercial-quality, maintainable, and "perfect" code that will stand the test of time.
Source: raptureinvenice.com
Grand unified theory of AI: New approach unites two prevailing but often opposed strains in artificial-intelligence research
By combining the old rule-based systems with insights from the new probabilistic systems, Goodman has found a way to model thought that could have broad implications for both AI and cognitive science.
Source: www.sciencedaily.com