The Annual International Biocuration Conference (AIBC) was held for the first in India, at the Indian Biological Data Centre (IBDC), Regional Centre for Biotechnology (RCB), Faridabad and co-hosted by the Department of Plant Molecular Biology, University of Delhi South Campus. As usual, GigaDB had representation at the event (see write-ups of many previous meetings here), Mary Ann Tuli and Chris Hunter. Both of whom were wearing two hats!
Künstliche Intelligenz, aber reguliert? Die EU legt die weltweit erste Verordnung vor, um die Potentiale und Risiken von KI-Systemen gesetzlich zu regeln. Der AI-Act enthält Transparenz-Pflichten für KI-Anbieter, Regelungen zu Deep Fakes, hohem Energieverbrauch und zu einigem mehr. KI-Systeme wie beispielsweise ChatGPT können Bewerbungen schreiben, Reisen planen, Studienarbeiten verfassen und sogar Kunstwerke nachahmen oder Stimmen imitieren.
Sourcely, an AI company, promises to streamline research by finding, summarizing, and adding credible sources in minutes. While this sounds appealing, skepticism arises as using such a tool may prioritize citing over genuine research. Initial tests revealed limited functionality, leaving doubts about its practical value in the research process.
The awesome thing about language is that, well, we all mostly speak it, to some extent or another. This gives us an immensely powerful tool to manipulate transformational tasks. For the purposes of this post, I consider a transformational task to be essentially anything that takes an input and is largel intended to return some version of the same thing. This is not a very precise definition, but it will have to do for now.
Say you’re busing tables and you’re trying to pass someone in a wheelchair. What do you do? Do you say “excuse me” and wait for them to move? Do you say “excuse me” and then try to pass them? Do you just try to pass them? Do you say nothing and just try to pass them? All of these are, actually, pretty legitimate answers. Now, say you’re a robot.
It’s not every day that you find out you have climbed the exalted heights of another discipline. My work is pretty interdisciplinary, but it shocked me, too, that I’m apparently holding forth on neoliberalism and the epistemic question in African universities (archive link): This, of course, came at some surprise to me, as I have never written anything on the topic.
A decade ago in 2012, I observed how the dominance of Google had slowly affected how Academic databases and OPACs/ catalogues (now discovery services) work.
At the time of writing this post (November 19, 2023), there are 401,014 models and transformers listed on Huggingface.co. This number is a testament to the success and impact of the open-source model in the development of AI technologies. However, the challenge at hand is understanding the available models and keeping up to date with the latest developments.
It appears that in what is clearly a wonderful little PR stunt, a Polish rum company managed to do a Sophia and appoint an ‘AI-driven’ ‘robot’ as its ‘CEO’. The other guilty party to this pile of steaming bovine excrement is Hanson Robotics, famous for giving us Sophia, the “world’s first robot citizen”. Most of what I’m saying here goes just as well for Sophia.
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