Aggregated enterprise architecture wisdom
Gerben Wierda 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 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.
The third ‘fragmentation wave’ of the IT-revolution is upon us, it seems. Fragmentation is a repeated pattern in the IT-revolution, that has given us object oriented programming and agile/DevOps as solutions to managing complexity. Now, it is the organ…
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 …
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…
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…
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…
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.
Google’s Gemini has arrived. Google has produced videos, a blog, a technical background paper, and more. According to Google: “Gemini surpasses state-of-the-art performance on a range of benchmarks including text and coding.”
But hidden in the grand …
Should we be hopeful or scared about imminent machines that are as intelligent or more than humans? Surprisingly, this debate is even older than computers, and from the mathematician Ada Lovelace comes an interesting observation that is as valid now as…
After watching my talk that explains GPT in a non-technical way, someone asked GPT to write critically about its own lack of understanding. The result is illustrative, and useful. “Seeing is believing”, true, but “believing is seeing” as well.
We should stop labelling the wrong results of ChatGPT and friends (the ‘hallucinations’) as ‘errors’. Even Sam Altman — CEO of OpenAI — agrees, they are more ‘features’ than ‘bugs’ he has said. But why is that? And why should we not call them errors?