AI-generated podcast AI-slopcast
We introduce a new term: “AI-slopcast”. This is a podcast that is created by Generative AI and — surprise! — is AI-slop. The victim: one of my own posts.
ChatGPT
AI has invented a new language, and added sex to a dull office context
It turns out that AI has created a whole new language. Humans do not speak it, and they may even mistake it for talk about sex. But luckily Generative AI is able to translate it to something humans can understand (and where the sex doesn’t show up).
Generative AI ‘reasoning models’ don’t reason, even if it seems they do
‘Reasoning models’ such as GPT4-o3 have become a well known member of the Generative AI family. But look inside and while they add a certain depth, at the same time they add nothing at all. Not ‘reasoning’ anyway. Just another ‘level of indirection’ wh…
Let’s call GPT and Friends: ‘Wide AI’ (and not ‘AGI’)
GPT-3o has done very well on the ARC-AGI-PUB benchmark. Sam Altman has also claimed OpenAI is confident that it can build Artificial General Intelligent (AGI). But that may be based on confusions around ‘learning’. On the difference between narrow, ge…
Transforming business practices through augmented intelligence: a new revolution
Opinion piece / Crossed view – MEGA International – June…
When ChatGPT summarises, it actually does nothing of the kind.
One of the use cases I thought was reasonable to expect from ChatGPT and Friends (LLMs) was summarising. It turns out I was wrong. What ChatGPT isn’t summarising at all, it only looks like it. What it does is something else and that something else only…
Microsoft lays the limitations of ChatGPT and friends bare
Microsoft researchers published a very informative paper on their pretty smart way to let GenAI do ‘bad’ things (i.e. ‘jailbreaking’). They actually set two aspects of the fundamental operation of these models against each other.
Ain’t No Lie — The unsolvable(?) prejudice problem in ChatGPT and friends
Thanks to Gary Marcus, I found out about this research paper. And boy, is this is both a clear illustration of a fundamental flaw at the heart of Generative AI, as well as uncovering a doubly problematic and potentially unsolvable problem: fine-tuning …
Will Sam Altman’s $7 Trillion AI Plan Rescue AI?
Sam Altman wants $7 trillion for AI chip manufacturing. Some call it an audacious ‘moonshot’. Grady Booch has remarked that such scaling requirements show that your architecture is wrong. Can we already say something about how large we have to scale cu…
The Department of “Engineering The Hell Out Of AI”
ChatGPT has acquired the functionality of recognising an arithmetic question and reacting to it with on-the-fly creating python code, executing it, and using it to generate the response. Gemini’s contains an interesting trick Google plays to improve be…
Memorisation: the deep problem of Midjourney, ChatGPT, and friends
If we ask GPT to get us “that poem that compares the loved one to a summer’s day” we want it to produce the actual Shakespeare Sonnet 18, not some confabulation. And it does. It has memorised this part of the training data. This is both sought-after an…
What makes Ilya Sutskever believe that superhuman AI is a natural extension of Large Language Models?
I came across a 2 minute video where Ilya Sutskever — OpenAI’s chief scientist — explains why he thinks current ‘token-prediction’ large language models will be able to become superhuman intelligences. How? Just ask them to act like one.