Meta's secret voice model

PLUS: Self-healing code, MIT vs AI, and GPT-4 with tools

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Hey folks, today we have Meta, for the first time, scared of making their models public (it’s voice generation this time).

Then we have two instances of automatic tools taking up significant space: The case for self-healing code from Stackoverflow and why GPT-4 with tools is a big deal from Dan Shipper.

Let’s get to it.

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🤌 Our Picks

Highlights if you've only got 2 minutes

1/

On Friday Meta announced something that’s so damn good that they’re too scared to make it publicly available - the potential for misuse just isn’t worth the risk, and they’re not about that bad publicity. The tech is called Voicebox, and it’s a text-to-speech generative AI model that they say blows the competition outta the water. It’s able to create voice samples from scratch; take a sample and modify it; do so in 6 different languages, is 20x faster than prior models, and has significantly better performance.

And this is all without having to train it on a specific voice for a specific output… You could do something like crop a dog barking out of a video of someone speaking, and regenerate it with pure speech. Nice! Can defo see where they’re coming from on the risk front tho…

2/

Every programmer’s favourite life-saver/goldmine, Stack Overflow, has a thing or two to say about the future of software development. And surprise surprise, it involves a whole lot of generative AI. The bottom line is that current AI tech is very good at reviewing its own code and generating improvements, leading to the idea of self-healing code.

Given that generative AI will result in a lot more code getting written a lot more quickly, AI itself will have to be used to review and improve code before it gets deployed - without it, there will be too much to review and code-bases will end up with shoddy machine-generated code that was never reviewed properly. Self-healing code is the solution, and the team at Stack Overflow reckon it’s the future.

3/

Last week OpenAI released Function Calling as part of ChatGPT, which we touched on in Wednesday’s issue - but perhaps it deserves a bit more attention than it got. Dan Shipper at Every makes a pretty cool analogy in this post. It’s like a child’s ability to ask their parents to help them with a task that they know they can’t do on their own - except instead of parents, GPT is able to use the tools that its users hand straight to it. This makes GPT a whole load more powerful, bridging the gap between GPT tech and very powerful existing software that is hard to integrate with GPT. With this gap bridged, the ability of GPT to effectively write programs, execute processes, and be an agent is much greater.

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🛠️ Cool Tools

Product launches, updates and demos
  • ReLLM - Exact structure output from any language model completion. (link)

  • Project Atlas Agents – The first no-code autonomous agents management platform. (link)

  • Sketch2Render - Transform your house sketches into beautiful 3D house renders in seconds. (link)

  • Minerva AI – Chrome extension to simplify job hunt, optimise LinkedIn use. (link)

  • AI turns video lessons into interactive social games in seconds. (link)

  • Faraday Dev – Run open-source LLMs on your computer. (link)

  • Hugging Face space on QR code AI art generator. (link)

  • Fix my code with AI – Make experiences accessible & usable with compliant code. (link)

  • Cohesive AI voices – Human-like voices for every content. (link)

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🤓 Miscellaneous

News, podcasts, videos, blogs etc
  • Localrf – Nerf from casual shaky videos. (link)

  • Can we harness generative AI for social good? (link)

  • TII has now released Falcon LLM – 40B model. (link)

  • It’s not just hype, corporate America is making huge bets on AI transforming their businesses. (link)

  • The Guardian will now use generative AI. (link)

  • GPT-4 outperforms humans in pitch deck effectiveness. (link)

  • GPT4 can’t ace MIT. (link)

  • Media companies like News Corp and The Guardian have discussed LLM copyright issues and a subscription fee with OpenAI, Google, Microsoft, or Adobe. (link)

  • GPT-4 apparently can't recite the litany against fear from Dune. (link)

  • Can ChatGPT diagnose this car? (link)

  • Demystifying GPT self-repair for code generation. (link)

  • The low-background steel of AI. (link)

🎓 Learn

How-to’s and resources
  • Using Lamini to train your own LLM on your Databricks data. (link)

  • The secret sauce behind the 100k context window in LLMs: all tricks in one place. (link)

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