Actually Useful AI

Instructions and methodology are open source: https://github.com/open-wisdom/views

I’m tired of hearing about vibecoding on Lobsters, so I’ve written up three of my side tasks for coding agents. Talk is cheap; show us the code.

Hello!

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cross-posted from: https://programming.dev/post/30549287

An amusing chat I had with ChatGPT. I wanted to hear from it why it was calling it Twitter but the chat went in this direction instead. (It did eventually.)

“This is a completely different approach to what people have done before. The writing’s on the wall that this is going to transform things, it’s going to be the new way of doing forecasting,” Turner said. He said the model would eventually be able to produce accurate eight-day forecasts, compared with five-day forecast at present, as well as hyper-localised predictions.

This is an app for iOS and Android by ElevenLabs, where you can import a web article or ebook, and listen to it with some of its text-to-speech voices.

An extremely informative article that goes into great lengths to explain why Nvidia of overvalued currently. Long nut worth a read.

Hello there, fellow lemmings!

ChatGPT—for all its remarkable prowess in textually generating material “like” what it’s read from the web, etc.—can’t itself be expected to do actual nontrivial computations, or to systematically produce correct (rather than just “looks roughly right”) data, etc. But when it’s connected to the Wolfram plugin it can do these things.

I recently built a web scraper / website to track changes in Burger King prices. I also made a video where I try to describe how I used ChatGPT in this process and how useful it was to me.

Wanted to share this one because I find myself using it every day—often in place of Google. You can even somewhat replace Siri with it using the app’s Apple Shortcuts:

If you’re just wanting to run LLMs quickly on your computer in the command line, this is about as simple as it gets. Ollama provides an easy CLI to generate text, and there’s also a Raycast extension for more powerful usage.

Found this online tool to try out a bunch of different text2image models for free. No signup needed. Resolution is fixed to 512x512, but otherwise it’s pretty versatile for being free

Interesting article I've found, thought others might find it interesting as well.

I was aiming to use LLMs with robotics in an upcoming project, and needed to first verse myself in what is the current must-know techniques in the space. To that end I read a ton of papers and wrote this article to try and suss out the best parts of current state of the art.

You can find it here. Source code in the link.

In this project, the aim was to enhance the quality of an audio clip featuring Vinod Chanda from the show Pantheon, recorded during the COVID-19 pandemic when voice actors faced limitations due to quarantine. To address the challenge of improving the dialogue's quality, a possible approach utilizing AI-based voice conversion was explored. By isolating Chanda's dialogues from the first episode and employing voice cloning technology, a model of the actor's voice was created using retrieval-based voice conversion (RVC). The model was then utilized to convert the initial audio into an enhanced version, effectively restoring the dialogue's quality. While there are limitations to the method, such as challenges in capturing all nuances of the original voice and handling multiple voices simultaneously, this approach holds promise for restoring old or poorly recorded audio. The possibilities for applying this technique extend to various media forms, sparking potential future developments in audio restoration for movies and other creative projects.