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- Copy: the first AI-powered fashion magazine
Copy: the first AI-powered fashion magazine
Plus: Midjourney competitor Ideogram goes live and is free to use

Welcome to The Dispatch! We are the newsletter that keeps you informed about AI. Each weekday, we scour the web to aggregate the many stories related to artificial intelligence; we pass along the news, useful resources, tools or services, technical analysis and exciting developments in open source. Even if you aren’t an engineer, we’ll keep you in touch with what’s going on under the hood in AI.
Good morning. Today in AI:
Vogue examines the first AI-powered fashion magazine
TIME dives into the heated debated over who controls access to AI
Meta open sources AI system ‘Nougat’, an academic document PDF parser
Ideogram brings accurate typography to text-to-image generation, a first
Trending tools & more
From Vogue: Copy is a new AI-powered fashion magazine that uses Midjourney to generate ‘highly realistic’ images of models and fashion spreads combined with synthetic commentary from ChatGPT. Creator Carl-Axel Wahlström sees the magazine as an artistic experiment in AI-generated content. “It was love at first sight,” said the creative director. “I saw a lot of red warning flags, but I also felt that I was part of something new and revolutionary.”
More Details:
Wahlström created the magazine himself as a passion project, without sponsors or advertisers. He sees it as a documentation of ‘where fashion is today’ - based on what AI can currently generate.
The AI is limited by its training data, which leads to stereotypical and idealized depictions of beauty and fashion. Wahlström acknowledges this but chose not to push boundaries for this first issue.
The magazine is meant to provide an unsettling view into hyper-perfection and stereotypes in fashion. Wahlström wants to spark discussion through the contrast between the AI-generated glamour and the human-written text.
Wahlström believes AI could reshape power structures in fashion by removing gatekeepers, though biases shape its output. He hopes AI can point the way forward stylistically.
Takeaways: While AI opens creative possibilities, it also propagates the biases of its training data in dangerous ways - including unrealistic beauty standards. Wahlström knowingly plays with these tensions, crafting a glossy but discomforting world. His conflicting love for the ‘too beautiful’ end result is emblematic. It shows both the impressive beauty and realism AI can achieve and its difficulty imagining beyond human biases and stereotypes that we ourselves often perpetuate. Just as Photoshop warped beauty standards, use of biased/perfectionist AI aesthetics could further entrench damaging stereotypes.
Dan Arena, a computer science instructor at Vanderbilt University, details an experiment he conducted to assess the capabilities and limitations of ChatGPT. Arena initially introduced the chatbot into his Algorithms class as a tool to demonstrate to students that while ChatGPT could answer some questions correctly, it couldn't replace their critical thinking skills. |
Taking the experiment a step further, Arena privately administered his final exam to ChatGPT alongside his students. The questions in the exam were general enough that attending the class lectures was not a prerequisite for answering them. The results were surprising - we won’t spoil it here.
TIME magazine dives into the debate over who should control access to powerful AI systems. On one side, companies like OpenAI and Google argue that access should be restricted through licensing schemes to prevent misuse. They worry that bad actors could exploit advanced AI to spread disinformation or launch cyberattacks. On the other side, Meta favors an open approach, rapidly releasing its AI models without restrictions. |
Disagreements continue over whether AI poses existential risks and how much control over AI is desirable. The outcome of this debate will determine if regulators impose licensing rules and other limits on frontier AI models. The EU's AI Act takes a middle road - setting safety rules for general AI models without licensing. In the US, the open AI coalition will likely resist licensing and push for exemptions. With AI regulation advancing, this divide will be an ongoing source of contention.
(More on yesterday’s headline) Google’s Duet AI becomes a meeting assistant, doc summarizer and chat companion
Can we defend against the online anti-science movement?
GM is using Google’s AI chatbot to handle simple OnStar calls
USA Today owner pauses AI articles after butchering local sports coverage
Nvidia’s stock closes at record after Google AI partnership
Samsung debuts its own 'AI-powered' smart recipe app
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Researchers from Meta AI have developed a new open source AI system called Nougat that can convert PDF documents into structured, machine-readable text. It uses optical character recognition (OCR) to analyze document images and natural language processing to generate markup language output. This allows recovery of semantic information like mathematical expressions that often gets lost when converting paper documents to PDFs. |
Nougat employs transformer neural networks, which have driven recent advances in computer vision and language modeling. In tests on scientific papers, Nougat achieved significantly higher accuracy than previous academic systems like GROBID, especially on mathematical formulas. This research tackles an important challenge - unlocking knowledge trapped in PDFs to make it more accessible. The results in translating scanned images from PDF’s (some of them are over 100 years old) show promise in learning to parse complex document structures end-to-end.
Cloud database provider Couchbase is jumping on the generative AI bandwagon by integrating the technology into its flagship product, Capella. The new Capella iQ feature leverages foundation models to provide SQL code recommendations and auto-generated sample datasets to developers. |
Capella combines structured and unstructured data capabilities into one system, providing more flexibility than traditional databases for modern applications. Capella iQ hopes to take this further by speeding up development significantly. The natural language interface means coding tasks that took hours can now (hopefully) be completed in seconds.
OpenPipe: convert expensive LLM prompts into fast, cheap fine-tuned models
More Couchbase in AI: cloud to edge AI with a mobile database platform
Annual State of AI Report Compute Index

Trending AI Tools & Services:
Ideogram v0.1: turn your creative ideas into delightful images, in a matter of seconds. It's free and has no limits, and it can render text
Perplexity Pro: now with Claude-2 integration
LIDA by Microsoft: automatic generation of visualizations and infographics with LLMs
Gradient: fine tune your own LLM with a simple web API
Postwise: craft engaging tweets or LinkedIn posts with AI, schedule effortlessly and watch your followers grow
Lyro AI from Tidio: conversational AI chatbot for small and medium businesses
Guides/resources/lists/fun:
This free site makes editing and converting any file easy
Generative AI is enabling creators to take on massive workloads - here’s how
7 best AI tools for business (ranked and reviewed)
How to automate Excel reports using ChatGPT Code Interpreter
Pam Baker’s new book ‘ChatGPT for Dummies’ illuminates chatbots for pros and neophytes alike
Social media/video/podcast:
Cursor: The AI-first code editor — with Aman Sanger of anysphere
[Podcast]
Algorithms for Decision-Making from MIT [X]
Is Code Llama better than GPT4 for coding?! [YouTube]
1,000,000,000 parameter super resolution AI! [YouTube]
(Discussion) You’re the only one with GPT-4 in 2010 - how would you turn this advantage into a fortune? [Reddit]
Did you know?
As part of the Google Cloud Next 2023 event this week, DeepMind unveiled a partnership with Google Cloud to launch SynthID, a tool for watermarking AI-generated images. SynthID allows imperceptible watermarks to be embedded into images created by AI models. This directly speaks to the growing demand from government, industry, and the public for accountability and transparency in AI generated content.
We’ll be covering SynthID in more detail tomorrow.
What’s problematic for me is that I like the end result. I think it’s beautiful, but I definitely see a lot of wrongs and I see a lot of problems and issues. For example, I think the models are way too thin, and I think they’re way too perfect, but that is also very interesting for me.