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Why SeedIQ™ Is the Third Great AI Breakthrough — And What Deep Learning and Transformers Tell Us About What Comes Next

“That’s your lede,” said Claude. “No, no,” I typed back. “I have something different in mind.” And I laid out my five points planned for this post, which Claude obediently organized into bullet points with supporting phrases. But I could hear Claude grumbling in the background. And this morning – twenty minutes ago, at 4:50… Continue reading SeedIQ™ Just Stomped ARC-AGI 3 on a MacBook Pro. Here’s Why That Changes Everything

A week ago, everything shifted. I went from NOT using AI at all, in my daily life (except for brief, as-needed dabbles with MidJourney) to full-on immersion with Claude Projects. The reasons? Threefold, really: So – not knowing what to expect, having NO positive prior experience, but having heard good things about using Claude Projects… Continue reading Claude Projects: Week 1 – Tactics Learned

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