Sparrow

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🤌 Ben's Picks

1/

Worth a read: DeepMind's CEO, Demis Hassabis, talks to TIME about AI (duh). A few folks have been pointing out the sparrow in the room...no seriously, Sparrow is DeepMind's Chatbot that they're running a closed beta for in 2023. No doubt a response to ChatGPT. It'll be able to cite sources in its responses, which ChatGPT may be able to do - although we've not been allowed to do that (remember the browing:disabled prompt that it has?). Another interesting part of this interview is when Hassabis said “We’re getting into an era where we have to start thinking about the freeloaders, or people who are reading but not contributing to that information base,” he says. “And that includes nation states as well.” He declines to name which states he means—“it’s pretty obvious, who you might think”—but he suggests that the AI industry’s culture of publishing its findings openly may soon need to end." Let's see what happens!

2/

Everyone likes to pretend they know about the new capabilities that GPT-4 can bring. "Apparently it can look after a house plant", "It can heal animal wounds by listening to their breath", "It can run a billion dollar company by itself" and on and on the rumours swirl. BUT, we're going to have to wait. It's release was originally planned for late Q4 2022/Q1 2023 which may move back slightly if I'm reading this tweet correctly... 'OpenAI’s GPT-4 will launch only when they can do it safely & responsibly. “In general we are going to release technology much more slowly than people would like. We're going to sit on it for much longer..."' Oh and a video model is apparently in the works too...!

3/

We all know Reid Hoffman; PayPal, Linkedin and Greylock. He's started a podcast with a familiar co-host, ChatGPT. Yup, it's happening folks. In the first episode, ChatGPT and Reid start with self-reflection by talking about the Turing Test, and expand into AI’s potential impact across several creative fields. Talking AI with AI - ChatGPT as a podcast guest. (link)

4/

I just have to proudly say this - my wife asked if I wanted a McDonald's breakfast this morning and I said NO. Can I get a virtual high five?! That's pretty insane will power I'd say. Anyway... McDonalds just released an advertisement for Lunar New Year 2023 where Luma AI NeRF + Fields Editor is used. p.s. she brought home a hash brown for me anyway. So I get the pleasure of saying no and pleasure of eating the best part. Bah de bah bah bah, I'm lovin' it. Sorry, had to.

🛠️ Cool Tools

• AI Depot - A hand-curated list of the best AI tools out there. (link)

• A semantic search engine built on top of Lenny’s Podcast. (link)

• Bardeen AI - AI assistant enabling non-tech-savvy individuals to easily use and automate OpenAI prompts. (link)

• Airtest - Generate unit tests using AI. (link)

• Predis.ai 3.0 - AI generated videos and scheduling. (link)

• Booth - Create pro quality product photography with AI. (link)

• Somi - Ask Slack questions using AI. (link)

• Boo - Your AI-powered writing assistant. (link)

• MagicBlog - Write high-quality long-form blog content that's 100% original and SEO optimised in just one click. (link)

🤓 Miscellaneous

• Personalised AI chatbot created using a newsletter’s content. (link)

• Sara Dietschy published a YouTube video "14 AI tools creators should actually use". (link)

• Google’s reply to large websites using AI generated content with human editors. (link)

• Researchers have started adding ChatGPT as co-author on their papers. (link)

• What OpenAI’s ‘bonkers’ deal structure means for Silicon Valley. (link)

• Inbenta, a provider of AI-powered chatbots and more, lands $40M. (link)

• How AI is changing art - a FT podcast. (link)

• "Machine Learning And Deflationary Contagions" - the impact of generative AI on various industries, and how it is related to Moore's Law and deflation. (link)

🎓 Learn

• Implementing reinforcement learning with human feedback with trlX. (link)

🔬 Research

• WIRE - Implicit neural representation using a continuous complex Gabor wavelet activation function. (link)

• SemPPL - New semi-supervised learning method that combines labelled and unlabelled data to learn informative representations. (link)

• Domain expansion of image generators. (link)

• Recovering lighting from accidental light probes - common, shiny objects like Coke cans, which often appear in daily scenes. (link)

• Tracr from Deepmind - Compiled transformers as a laboratory to interpret and understand machine learning models. (link)

• Guiding text-to-image diffusion model towards grounded generation. (link)

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