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I swapped some of the sections around a bit. (The newsletter version of changing the button colours of your website). It's busy-work and we all do it. So don't look at me like that. It definitely, possibly, could make a huge difference okay?!

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🤌 Ben's Picks

The least shocking news of the year so far: Microsoft using GPT power for Bing.

Did you know that Microsoft's investment in OpenAI included a little clause to slide some of GPT's magic into Bing? And it's already incorporating DALL-E into Bing's image creator tool.

So, yeah, Microsoft is preparing to launch a version of its Bing search engine with a little splash of GPT powering it. It'll help users answer search queries rather than just showing a list of links (plus 5 million ads to avoid).

Now I, like you, have never used Bing, but if it were to have ChatGPT-like powers behind the scenes, I may take a little trip over to their site and give it a go. New Year, new me and all that.

Google's code 'really really red' is just about to kick off and we'll see what this year has in store for us. Microsoft vs Google, The AI wars. Sounds like an AI created movie.

Microsoft and OpenAI working on ChatGPT-powered Bing in challenge to Google. (link)

🛠️ Cool Tools

• Rows introduce ASK_OPENAI function to use GTP-3 inside your spreadsheet without any scripts, installs, or add-ons. (link)

• Cool Japan Diffusion 2.1.0 - a fine-tuning model of Stable Diffusion to represent cool Japan in anime and manga. (link)

• Magize - Generate and publish AI-generated ad campaigns in multiple languages. (link)

• GPTZero - Quickly and efficiently detect whether an essay is ChatGPT or human-written. (link)

• Fashion AI - Personalised style recommendations tailored to your unique fashion preferences. (link)

• Tortoise TTS model - Voice cloning from small numbers of samples. (link)

• Artifec - an AI app that generates images from quotes. (link) (video of how it was built)

• Detangle AI - AI-generated summaries of your legal docs. (link)

🤓 Miscellaneous

• Language styling made as accessible as text formatting using GPT-3. (link)

• Does the textual corpus for large language models have enough information to train an AGI? This article discusses two hypotheses about whether LLMs are sufficient to progress to general AI, and the lack of consensus among experts on the potential of these models. (link)

• LLM uncanny valley hypothesis. Basically, as AI gets smarter, it'll get slower and more expensive to use. And since it'll only be used for super complicated stuff, humans will have a lower tolerance for mistakes. So if an AI almost gets it right, but not quite, it'll be a huge pain for humans to fix it. It's like an 'uncanny valley' for AI - we don't know when it'll start happening or when it'll end. But hey, at least right now AI is cheap and powerful enough to be useful to lots of people. (link)

• Microsoft chief celebrates GitHub Copilot’s glory. (link)

• Generative AI & LLM hackathon at Scale AI HQ - applications open. (link)

• 2023 will be the year of Interactive Machine Learning. (link)

• Some remarks on Large Language Models. An overview of the current state of large language models, and the implications of their development for natural language understanding. (link)

• The call for papers for ICML 2023 is out - deadline Jan 26th, 2023, 3 pm EST. (link)

🎓 Learn

• Introduction to graph machine learning. (link)

• PlayGroundAI - 1000 AI images per day, free for commercial usage. (link)

🔬 Research

• A new OpenAI human-feedback dataset from the "learning to summarize from human feedback" paper. (link)

• New point-based representation to compute neural point catacaustics for novel-view synthesis of reflections from a set of casually-captured input photos. (link)

• TinyMIM: An empirical study of distilling masked image modelling for pre-training small models. (link)

• Large language models as corporate lobbyists. (link)

🖼 AI images of the day

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