In the first four entries (1 2 3 4) of this sequence, I have focused primarily on what LLMs aren’t, can’t, won’t, wouldn’t and shouldn’t. It’s probably time to conclude this series by that much awaited moment in all stories, where the darkest night finally turns into a glorious dawn, where we finally arrive at the promised land, where we finally get to talk about what LLMs could be. What I see as the most successful potential model of

There’s a style of visual design I’m inordinately fond of called Raygun Gothic. It’s hard to describe what the hell exactly one needs to be on to enjoy it, but think of it like the aesthetic from the latter Fallout games with a more optimistic outlook on the future. Gibson described it as “the future that never was”, and I think that’s a pretty apt description. We get these competing futures in technology all the time.

The temple of Asclepios, the Greek god of healing arts and medicine, at Epidaurus was pretty much the ancient Greek world’s equivalent of the Mayo Clinic. It then tells us a lot about the Greek worldview of healing that one of the things the temple complex prominently featured was a theatre. The Greeks believed in drama therapy, but in perhaps a slightly different way of how we think of it today.

On September 2023, OpenAI announced that ChatGPT Plus would be enhanced in three ways 1. It would allow you to speak directly with GPT and it would also be able to reply in voice 2. It would be able to create images using DALL-E 3, OpenAI's image generation model 3. It would be able to accept image inputs Since I finally gained access to these features, I will briefly review them with my thoughts on how impactful they might be for

I have probably spent more time looking at Poussin’s Dance to the Music of Time than any other work of art. Sneaking off to the Wallace Collection in London and just looking at the Dance was my comfort activity while living in London – a time that was not exactly devoid of its trials. It’s not, by any measure, great art, insofar as such judgments can be made with any objectivity.

There’s something special about language. It is ‘our own’, it is ‘us’, in a profound way, and quite surprisingly, more so than art. I was deeply struck by this when I first saw reactions to large generative language models that created realistic, human-ish prose.

Over at the work blog, I’m discussing what knowledge means for large language models (LLMs), and the ways in which we can leverage this knowledge dividend for better inference. Read the full post here.

List of academic search engines that use Large Language models for generative answers (for the latest version - see this page) This is a non-comprehensive list of academic search engines that use generative AI (almost always Large language models) to generate direct answers on top of list of relevant results, typically using Retrieval Augmented Generation (RAG) Techniques. We expect a lot more!

I've been a subscriber of OpenAI's ChatGPT plus for a while though I have been struggling to justify it to myself for a while until recently.

Once again the GigaScience Press team has gathered at the yearly ISMB (Intelligent Systems for Molecular Biology) meeting to find out about the state of the art of computational biology, as well as celebrate our birthday . Hosted this year in the beautiful city of Lyon, and this year collocated with ISMB’s European sibling ECCB, it’s now been 11 years since GigaScience journals launch at ISMB 2012 in Long