Showing 1 - 5 of 5
LLMs are left-leaning models
Life, James Hein, Published on 07/05/2025
» A while back I wrote about the political bias in Large Language Models (LLMs). Since then the models have evolved and David Rozado has conducted more recent tests based on four of the popular political orientation tests. Using the Political Compass, Political Spectrum, Political Correctness and Eysenck tests, he worked with xAI Grok 3 beta, Google's Gemini 2.5 pro, Deepseek V3, OpenAI GPT 4.1 and Meta's Llama 4 Maverick. In all but one of the tests Grok 3 was closest to the centre, and on average was the clear leader. All the models were still located in the Left Libertarian quadrant, with Grok just sneaking into a more Conservative area with the Eysenck test. These tests are of course but one way to measure the political leanings of any LLM. Overall however, it does still indicate the left-leaning bias in all models tested so far. If you want to see more details, you can visit David Rozado's substack.
AI, LLMs still got those data blues
Life, James Hein, Published on 12/02/2025
» The past weeks have been very heavily tilted towards artificial intelligence (AI) news. Before I cover some of it, a reminder that generative AI (gAI) is not the same as General AI (G-AI). The former is where the model can make some inferences, the latter is an AI system that can perform just like a human across multiple subject areas.
Graphene semiconductors mark new start
Life, James Hein, Published on 17/01/2024
» We have just started 2024 and there are already exciting announcements. The clever people at Georgia Tech in Atlanta have built the first scalable semiconductor using a graphene base. Graphene, a wonder product, is not a scalable semiconductor on its own, so they bonded silicon carbide, or what we call carborundum, to a layer of graphene creating the necessary bandgap to have a working switch. A switch means binary and from there they can make wafers like those currently used in the chip manufacturing process to make CPUs and other devices.
Big firms fuzzy on their AI thinking
Life, James Hein, Published on 28/10/2020
» Everything you see these days is AI enabled in some way, or according to the marketing they must be. Software, fridges, cancer detection and lots of other examples are all based on some kind of AI implementation. Google, Microsoft and all the big players are heavily invested in at least the buzzword, but the proof of delivery as promised is elusive.
The limits of simulations
Life, James Hein, Published on 09/10/2019
» I've recently been assigned to a team working on a simulator to model and test some business scenarios. The details aren't important but the upshot is that a model will be built, some decision points assigned percentages and times, then 1,000 transactions run through to see what the baseline is.