Category: Uncategorized

I let AI make me sick this last week. To be more precise, I let my own interactions with AI make me sick – that is, a real tummy-churning episode. More than once. MULTIPLE times. And yeah, literally, multiple “where’s the antacid?” moments. And I handled it … BADLY. Various kinds of AI news finally… Continue reading AI Is Tummy-Churning

Anthropic just released a study on AI misalignment that is even more chilling than what they found last week, when it became clear that a hacker group had used Claude Code blocks to hack at least thirty different organizations. In today’s study, Anthropic researchers M. MacDiarmid and others revealed the results of a study where… Continue reading AI Misalignment: Anthropic’s Studies and More

There are several different kinds of generative AI, but they all share three key elements. This may be surprising, since when we read some generative AI (Gen-AI) papers, we might find that one or another of these elements is not mentioned at all, or is hidden deep in the text. Some Gen-AI systems use neural… Continue reading Self-Study Guide: Stat Mech and Gen AI

If you’re new to neural networks and artificial intelligence, one of the first (and most essential) steps is to thoroughly (1) understand the architecture and processing of a Multilayer Perceptron (MLP) and to (2) master backpropagation. You can do this within a single weekend. Ideally, by the end of this weekend, you will have completed… Continue reading Neural Net and Backpropagation Basics

Whether we have a safe, comfortable, and secure job – and just desire the next level, or absolutely NEED a job, as soon as possible – we need a job search strategy. In this post, we reveal three strategies that have worked for others, and it makes good sense to base our own job search… Continue reading Three Strategies to Improve Job Search Success

The smart survival strategy for each of us is to start thinking and planning now for a world in which there are not just AIs, but AGIs. This will be a very different world. In this blogpost, and in the accompanying YouTube vid (see below), we look at the most essential distinction that we can… Continue reading How to Prepare for the AGI World: Tools, Pseudo-Persons, and Slaves

The biggest challenge that we face now is to get beyond the simple combination of LLMs (large language models, including all forms of multimedia models) with RLHF (reinforcement learning with human feedback, or any other form of feedback). Our current methods are pushing the limit of what we can do with some (fairly substantial and… Continue reading Significant Step Towards AGI: Verses’ Robotic Planning Horizons

OK, I’ll admit – I tend to click on some AI articles offered by my MSN.com feed – enough to ensure that about 30% of all the MSN-offered articles are AI-related. And my Themesis email inbox? (The one that I use as a grab-all for everybody’s EVERYTHING?) That’s full to the point of toppling over,… Continue reading The Biggest Problem for AI Workers Is “Focus”

Three key indicators that the shift from a “simple” AI architecture (transformers + reinforcement learning) to a “real” (and more complex” neuro-symbolic AI is FINALLY happening: YouTube: “Neuro-Symbolic AI Manager: Engineer or Magician?” Jobs First There has been no point in talking about neuro-symbolic AI (or any form of AGI beyond transformers + RL) until… Continue reading Neuro-Symbolic AGI: Emerging Groundswell Shift

Two and a half years since the first ChatGPT release, and researchers, developers, and business leaders are reluctantly coming to the same conclusions: So the real and compelling question is: what’s next? Actually, there are two questions: This last question leads us in all KINDS of directions, ranging from: {* Work in progress *} References… Continue reading LLMs Don’t Work; Why They Don’t and What’s Next