Aggregated enterprise architecture wisdom
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…
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.
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?
On 10 October I gave an (enthusiastically received) explainer talk at the EABPM Conference Europe 2023, making clear what ChatGPT and friends actually do — addressing the technology in a non-technical but correct way — and what that means. That presentation fills the gap between the tech and the results. At the end you will understand what these models really do in a practical sense (so not the technical how) when they handle language, see not only how impressive they are, but also how the errors come to be (with a practical example), and what that means what we may expect from this technology in the future.
On 10 October I gave an (enthusiastically received) explainer talk at the EABPM Conference Europe 2023, making clear what ChatGPT and friends actually do — addressing the technology in a non-technical but correct way — and what that means. That present…